National Library of Energy BETA

Sample records for gross refining margin

  1. Refiner Crude Oil Inputs

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

    Data Series: Refiner Crude Oil Inputs Refiner Gross Inputs Refiner Operable Capacity ... Download Series History Download Series History Definitions, Sources & Notes Definitions, ...

  2. Table 5.22 Refiner Sales Prices and Refiner Margins for Selected Petroleum Products, 1995-2011 (Dollars per Gallon, Excluding Taxes)

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

    2 Refiner Sales Prices and Refiner Margins for Selected Petroleum Products, 1995-2011 (Dollars 1 per Gallon, Excluding Taxes) Product 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 Sales Prices to Resellers: 2 Aviation Gasoline 0.975 1.055 1.065 0.912 1.007 1.330 1.256 1.146 1.288 1.627 2.076 2.490 2.758 3.342 2.480 2.874 3.739 Motor Gasoline .626 .713 .700 .526 .645 .963 .886 .828 1.002 1.288 1.670 1.969 2.182 2.586 1.767 2.165 2.867 Unleaded Regular .593

  3. Samantha Gross

    Broader source: Energy.gov [DOE]

    Samantha Gross is the Director for International Climate and Clean Energy at the Office of International Affairs in the U.S. Department of Energy. She directs U.S. activities under the Clean Energy...

  4. Rietveld Refinement

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

    profile Chi-squared value 4.944 Progress so far Inverse Modeling Method 2 Fourier Method Data Model Refined Structure 40 60 80 100 120 140 160 0 1000 2000 3000 4000...

  5. grossWCI.dvi

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

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

  6. Michael Gross | Photosynthetic Antenna Research Center

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

    Michael Gross Michael Gross Michael Gross Principal Investigator E-mail: mgross@wustl.edu Phone: (314) 935-4814 Website: Washington University in St. Louis Principal Investigator...

  7. ITP Petroleum Refining: Energy Bandwidth for Petroleum Refining...

    Office of Environmental Management (EM)

    Energy Bandwidth for Petroleum Refining Processes ITP Petroleum Refining: Energy Bandwidth for Petroleum Refining Processes PDF icon bandwidth.pdf More Documents & Publications ITP ...

  8. ITP Petroleum Refining: Profile of the Petroleum Refining Industry...

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

    Profile of the Petroleum Refining Industry in California: California Industries of the Future Program ITP Petroleum Refining: Profile of the Petroleum Refining Industry in ...

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

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

    "Back to Contents","Data 1: Alaska Natural Gas Gross Withdrawals and Production" ... "Date","Alaska Natural Gas Gross Withdrawals (MMcf)","Alaska Natural ...

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

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

    to Contents","Data 1: Arkansas Natural Gas Gross Withdrawals and Production" ... "Date","Arkansas Natural Gas Gross Withdrawals (MMcf)","Arkansas Natural ...

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

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

    Gross Withdrawals (Million Cubic Feet) Texas--onshore Natural Gas Gross Withdrawals ... Referring Pages: Natural Gas Gross Withdrawals Texas Onshore Natural Gas Gross Withdrawals ...

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

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

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

  13. Texas Natural Gas Gross Withdrawals Total Offshore (Million Cubic...

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

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

  14. Step 3: Project Refinement

    Energy Savers [EERE]

    3: Project Refinement 2 1 Potential 3 Refinement 4 Implementation 5 Operations & Maintenance 2 Options 3 Refinement 1/28/2016 2 3 FUNDING AND FINANCING OPTIONS Project Ownership Financing structure is highly dependent on size of the project and the capital available for a given project: * Tribe owns the project (cash purchase or debt) * Tribe hosts the project and buys the electricity (power purchase agreement) * Tribe partners with private sector and co-owns the project (uncertainties about

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

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

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

  16. David J. Gross and the Strong Force

    Office of Scientific and Technical Information (OSTI)

    ... Nobel Laureate Says Physics Is in Need of a Revolution Videos: Nobel Lecture by David J. Gross, nobelprize.org (video) Interview with David J. Gross, nobelprize.org (video) ...

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

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

    7:01:11 AM" "Back to Contents","Data 1: New Mexico Natural Gas Gross Withdrawals (MMcf)" "Sourcekey","N9010NM2" "Date","New Mexico Natural Gas Gross Withdrawals (MMcf)" ...

  18. Sofia Mancheno-Gross | Department of Energy

    Energy Savers [EERE]

    Sofia Mancheno-Gross Sofia Mancheno-Gross Sofia Mancheno-Gross - Senior Communications Lead Sofia specializes in Communications strategies on behalf of the Office of Energy Efficiency and Renewable Energy. Most Recent Guía Ahorre Energía: Consejos sobre el ahorro de dinero y energía en el hogar November 14

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

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

    Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells Federal Offshore Gulf of Mexico Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from ...

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

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

    Referring Pages: Natural Gas Gross Withdrawals from Shale Gas Wells Federal Offshore Gulf of Mexico Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from ...

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

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

    292016 Next Release Date: 2292016 Referring Pages: Natural Gas Gross Withdrawals from Oil Wells Missouri Natural Gas Gross Withdrawals and Production Natural Gas Gross...

  2. Petroleum Refining | Department of Energy

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

    Petroleum Refining Petroleum Refining Maintaining the viability of the U.S. petroleum refining industry requires continuous improvement in productivity and energy efficiency. The U.S. refining industry has worked with AMO to provide a range of resources that can provide energy and cost savings for the industry. Analytical Studies & Other Publications Manufacturing Energy and Carbon Footprints provide a mapping of energy use, energy loss, and carbon emissions for selected industry sectors.

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

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

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

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

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Gross Withdrawals and Production",10,"Monthly","22016","1151989" ,"Release ...

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

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Gross Withdrawals and Production",10,"Monthly","22016","1151989" ,"Release ...

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

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Gross Withdrawals and Production",10,"Monthly","22016","1151989" ,"Release ...

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

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

    ...ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Gross Withdrawals and Production",10,"Monthly","22016","1151989" ,"Release ...

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

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

    ...ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Gross Withdrawals and Production",10,"Monthly","22016","1151989" ,"Release ...

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

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Gross Withdrawals and Production",10,"Monthly","22016","1151989" ,"Release ...

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

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

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

  11. David J. Gross and the Strong Force

    Office of Scientific and Technical Information (OSTI)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  16. Minimally refined biomass fuel

    DOE Patents [OSTI]

    Pearson, Richard K.; Hirschfeld, Tomas B.

    1984-01-01

    A minimally refined fluid composition, suitable as a fuel mixture and derived from biomass material, is comprised of one or more water-soluble carbohydrates such as sucrose, one or more alcohols having less than four carbons, and water. The carbohydrate provides the fuel source; water solubilizes the carbohydrates; and the alcohol aids in the combustion of the carbohydrate and reduces the vicosity of the carbohydrate/water solution. Because less energy is required to obtain the carbohydrate from the raw biomass than alcohol, an overall energy savings is realized compared to fuels employing alcohol as the primary fuel.

  17. CLAMR (Compute Language Adaptive Mesh Refinement)

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

    CLAMR (Compute Language Adaptive Mesh Refinement) CLAMR (Compute Language Adaptive Mesh Refinement) CLAMR (Compute Language Adaptive Mesh Refinement) is being developed as a DOE...

  18. Refines Efficiency Improvement

    SciTech Connect (OSTI)

    WRI

    2002-05-15

    Refinery processes that convert heavy oils to lighter distillate fuels require heating for distillation, hydrogen addition or carbon rejection (coking). Efficiency is limited by the formation of insoluble carbon-rich coke deposits. Heat exchangers and other refinery units must be shut down for mechanical coke removal, resulting in a significant loss of output and revenue. When a residuum is heated above the temperature at which pyrolysis occurs (340 C, 650 F), there is typically an induction period before coke formation begins (Magaril and Aksenova 1968, Wiehe 1993). To avoid fouling, refiners often stop heating a residuum before coke formation begins, using arbitrary criteria. In many cases, this heating is stopped sooner than need be, resulting in less than maximum product yield. Western Research Institute (WRI) has developed innovative Coking Index concepts (patent pending) which can be used for process control by refiners to heat residua to the threshold, but not beyond the point at which coke formation begins when petroleum residua materials are heated at pyrolysis temperatures (Schabron et al. 2001). The development of this universal predictor solves a long standing problem in petroleum refining. These Coking Indexes have great potential value in improving the efficiency of distillation processes. The Coking Indexes were found to apply to residua in a universal manner, and the theoretical basis for the indexes has been established (Schabron et al. 2001a, 2001b, 2001c). For the first time, a few simple measurements indicates how close undesired coke formation is on the coke formation induction time line. The Coking Indexes can lead to new process controls that can improve refinery distillation efficiency by several percentage points. Petroleum residua consist of an ordered continuum of solvated polar materials usually referred to as asphaltenes dispersed in a lower polarity solvent phase held together by intermediate polarity materials usually referred to as resins. The Coking Indexes focus on the amount of these intermediate polarity species since coke formation begins when these are depleted. Currently the Coking Indexes are determined by either titration or solubility measurements which must be performed in a laboratory. In the current work, various spectral, microscopic, and thermal techniques possibly leading to on-line analysis were explored for measuring the Coking Indexes.

  19. ITP Petroleum Refining: Energy Bandwidth for Petroleum Refining...

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

    ... energy that a particular process would require under ideal ... analyses of primary chemical reactions using the ... for Petroleum Refining Processes 1 manufacturing industries. ...

  20. ITP Petroleum Refining: Energy Bandwidth for Petroleum Refining Processes

    Broader source: Energy.gov [DOE]

    This energy bandwidth analysis provides a realistic estimate of the energy that may be saved in petroleum refining processes by quantifying measures of energy consumption.

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

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

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

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

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

    ,,"(202) 586-8800",,,"4292016 6:48:21 AM" "Back to Contents","Data 1: Arkansas Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AR2","N9011AR2","N9012AR2","NGME...

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

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

    ,,"(202) 586-8800",,,"4292016 6:48:23 AM" "Back to Contents","Data 1: Arizona Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AZ2","N9011AZ2","N9012AZ2","NGME...

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

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

    ,,"(202) 586-8800",,,"4292016 6:48:22 AM" "Back to Contents","Data 1: Arizona Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AZ2","N9011AZ2","N9012AZ2","NGME...

  5. Midcourse Refinements of Financing Strategies

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Financing Peer Exchange Call: Midcourse Refinements of Financing Strategies, Call Slides and Discussion Summary, March 29, 2012. During this webinar participants discussed how programs have adapted and refined their financing strategies based on initial implementation experience and learning.

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

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

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

  7. Property:DailyOpWaterUseGross | Open Energy Information

    Open Energy Info (EERE)

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

  8. Crystal structure refinement with SHELXL

    SciTech Connect (OSTI)

    Sheldrick, George M., E-mail: gsheldr@shelx.uni-ac.gwdg.de [Department of Structural Chemistry, Georg-August Universitt Gttingen, Tammannstrae 4, Gttingen 37077 (Germany)

    2015-01-01

    New features added to the refinement program SHELXL since 2008 are described and explained. The improvements in the crystal structure refinement program SHELXL have been closely coupled with the development and increasing importance of the CIF (Crystallographic Information Framework) format for validating and archiving crystal structures. An important simplification is that now only one file in CIF format (for convenience, referred to simply as a CIF) containing embedded reflection data and SHELXL instructions is needed for a complete structure archive; the program SHREDCIF can be used to extract the .hkl and .ins files required for further refinement with SHELXL. Recent developments in SHELXL facilitate refinement against neutron diffraction data, the treatment of H atoms, the determination of absolute structure, the input of partial structure factors and the refinement of twinned and disordered structures. SHELXL is available free to academics for the Windows, Linux and Mac OS X operating systems, and is particularly suitable for multiple-core processors.

  9. MECS 2006 - Petroleum Refining | Department of Energy

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

    Petroleum Refining MECS 2006 - Petroleum Refining Manufacturing Energy and Carbon Footprint for Petroleum Refining (NAICS 324110) Sector with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Petroleum Refining More Documents & Publications Petroleum Refining (2010 MECS) MECS 2006 - Alumina and Aluminum MECS 2006 - Cement

  10. Electronic structure of superconductivity refined

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

    Electronic structure of superconductivity refined Electronic structure of superconductivity refined A team of physicists propose a new model that expands on a little understood aspect of the electronic structure in high-temperature superconductors. July 10, 2008 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma

  11. substantially reduced reserve margins

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

    reserve margins - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear

  12. Renewable Energy Financial Instruments Guidance Tool (REFINe...

    Open Energy Info (EERE)

    Guidance Tool (REFINe) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Renewable Energy Financial Instruments Guidance Tool (REFINe) Focus Area: Renewable Energy...

  13. Oregon Natural Gas Gross Withdrawals and Production

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

    2012 2013 2014 View History Gross Withdrawals 821 1,407 1,344 770 770 950 1979-2014 From Gas Wells 821 1,407 1,344 770 770 950 1979-2014 From Oil Wells 0 0 0 0 0 0 1996-2014 From ...

  14. Petroleum Refining (2010 MECS) | Department of Energy

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

    Petroleum Refining (2010 MECS) Petroleum Refining (2010 MECS) Manufacturing Energy and Carbon Footprint for Petroleum Refining Sector (NAICS 324110) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint PDF icon Petroleum Refining More Documents & Publications MECS 2006 - Petroleum Refining Cement (2010 MECS) Foundries (2010 MECS) Manufacturing Energy Sankey Diagrams

  15. GRAIN REFINEMENT OF URANIUM BILLETS

    DOE Patents [OSTI]

    Lewis, L.

    1964-02-25

    A method of refining the grain structure of massive uranium billets without resort to forging is described. The method consists in the steps of beta- quenching the billets, annealing the quenched billets in the upper alpha temperature range, and extrusion upset of the billets to an extent sufficient to increase the cross sectional area by at least 5 per cent. (AEC)

  16. Method for refining contaminated iridium

    DOE Patents [OSTI]

    Heshmatpour, B.; Heestand, R.L.

    1982-08-31

    Contaminated iridium is refined by alloying it with an alloying agent selected from the group consisting of manganese and an alloy of manganese and copper, and then dissolving the alloying agent from the formed alloy to provide a purified iridium powder.

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

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

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

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

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

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

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

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

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

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

  7. Reformulated Gasoline Market Affected Refiners Differently, 1995

    Reports and Publications (EIA)

    1996-01-01

    This article focuses on the costs of producing reformulated gasoline (RFG) as experienced by different types of refiners and on how these refiners fared this past summer, given the prices for RFG at the refinery gate.

  8. Firing of pulverized solvent refined coal

    DOE Patents [OSTI]

    Derbidge, T. Craig; Mulholland, James A.; Foster, Edward P.

    1986-01-01

    An air-purged burner for the firing of pulverized solvent refined coal is constructed and operated such that the solvent refined coal can be fired without the coking thereof on the burner components. The air-purged burner is designed for the firing of pulverized solvent refined coal in a tangentially fired boiler.

  9. ITP Petroleum Refining: Energy and Environmental Profile of the...

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

    and Environmental Profile of the U.S. Petroleum Refining Industry (November 2007) ITP Petroleum Refining: Energy and Environmental Profile of the U.S. Petroleum Refining Industry ...

  10. Virginia Natural Gas Gross Withdrawals and Production

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

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

  11. Kansas Natural Gas Gross Withdrawals and Production

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

    10 2011 2012 2013 2014 2015 View History Gross Withdrawals 325,591 309,952 296,299 292,467 286,080 292,450 1967-2015 From Gas Wells 247,651 236,834 264,610 264,223 260,715 1967-2014 From Oil Wells 39,071 37,194 0 0 0 1967-2014 From Shale Gas Wells 0 0 0 0 0 2007-2014 From Coalbed Wells 38,869 35,924 31,689 28,244 25,365 2002-2014 Repressuring 548 521 0 NA NA 1967-2014 Vented and Flared 323 307 0 NA NA 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 2002-2014 Marketed Production 324,720 309,124

  12. Pennsylvania Natural Gas Gross Withdrawals and Production

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

    10 2011 2012 2013 2014 2015 View History Gross Withdrawals 572,902 1,310,592 2,256,696 3,259,042 4,214,643 4,768,848 1967-2015 From Gas Wells 173,450 242,305 210,609 207,872 174,576 1967-2014 From Oil Wells 0 0 3,456 2,987 3,564 1967-2014 From Shale Gas Wells 399,452 1,068,288 2,042,632 3,048,182 4,036,504 2007-2014 From Coalbed Wells 0 0 0 0 0 2006-2014 Repressuring 0 0 0 0 0 1967-2014 Vented and Flared 0 0 0 0 0 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 1997-2014 Marketed Production

  13. Kentucky Natural Gas Gross Withdrawals and Production

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

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

  14. Louisiana Natural Gas Gross Withdrawals and Production

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

    10 2011 2012 2013 2014 2015 View History Gross Withdrawals 2,218,283 3,040,523 2,955,437 2,366,943 1,987,630 1,941,727 1967-2015 From Gas Wells 911,967 883,712 775,506 780,623 737,185 1967-2014 From Oil Wells 63,638 68,505 49,380 51,948 50,638 1967-2014 From Shale Gas Wells 1,242,678 2,088,306 2,130,551 1,534,372 1,199,807 2007-2014 From Coalbed Wells 0 0 0 0 0 2002-2014 Repressuring 3,606 5,015 0 2,829 3,199 1967-2014 Vented and Flared 4,578 6,302 0 3,912 4,143 1967-2014 Nonhydrocarbon Gases

  15. Nebraska Natural Gas Gross Withdrawals and Production

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

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

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

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

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

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

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

    Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Gross Withdrawals and Production",10,"Monthly","22016","1151989" ,"Release ...

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

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

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

  19. ,"U.S. Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Gross Withdrawals and Production",10,"Monthly","22016","1151973" ,"Release ...

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

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

    for, and the Procedures Currently Utilized in, Gross Gamma-Ray Log Calibration (October 1976) Parameter Assignments for Spectral Gamma-Ray Borehole Calibration Models (April 1984

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

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

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

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

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

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

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ... Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","1...

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ... Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","1...

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

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

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

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

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

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

  7. On the Margin | Jefferson Lab

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

    On the Margin On the Margin October 19, 2012 The primary component of Jefferson Lab's mission is nuclear physics - to explore the nature of nuclear matter and to explore fundamental symmetries. This dominance is reflected in the budgets we receive, and in what we do on a daily basis. In many ways, the whole laboratory revolves around the operation of the nuclear physics accelerator. However, when we make presentations about the laboratory, we usually talk about our activities in much broader

  8. Steel Industry Marginal Opportunity Analysis

    SciTech Connect (OSTI)

    none,

    2005-09-01

    The Steel Industry Marginal Opportunity Analysis (PDF347 KB) identifies opportunities for developing advanced technologies and estimates both the necessary funding and the potential payoff. This analysis determines what portion of the energy bandwidth can be captured through the adoption of state-of-the-art technology and practices. R&D opportunities for addressing the remainder of the bandwidth are characterized and plotted on a marginal opportunity curve.

  9. Marginal Energy Prices - RECS97 Update

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

    Table 1. Marginal Residential Electricity Prices - RECS97 Electricity - RECS97 Prices (... Table 3. Marginal Residential Electricity Prices - RECS93 Electricity - RECS93 Prices (...

  10. Improving the accuracy of macromolecular structure refinement

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

    is challenging at low resolution. We compared refinement methods using synchrotron diffraction data of photosystem I at 7.4 resolution, starting from different initial models...

  11. Refiners Increasingly Employing Catalyst Regeneration as Alternative...

    Open Energy Info (EERE)

    million by the end of 2019. Refiners Benefit from Catalyst Regeneration Technology via Price Reductions and Lower Maintenance Costs The catalyst regeneration technology is the...

  12. Midcourse Refinements of Financing Strategies | Department of...

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

    March 29, 2012. During this webinar participants discussed how programs have adapted and refined their financing strategies based on initial implementation experience and learning. ...

  13. Pneumatic conveying of pulverized solvent refined coal

    DOE Patents [OSTI]

    Lennon, Dennis R.

    1984-11-06

    A method for pneumatically conveying solvent refined coal to a burner under conditions of dilute phase pneumatic flow so as to prevent saltation of the solvent refined coal in the transport line by maintaining the transport fluid velocity above approximately 95 ft/sec.

  14. North Dakota Refining Capacity Study

    SciTech Connect (OSTI)

    Dennis Hill; Kurt Swenson; Carl Tuura; Jim Simon; Robert Vermette; Gilberto Marcha; Steve Kelly; David Wells; Ed Palmer; Kuo Yu; Tram Nguyen; Juliam Migliavacca

    2011-01-05

    According to a 2008 report issued by the United States Geological Survey, North Dakota and Montana have an estimated 3.0 to 4.3 billion barrels of undiscovered, technically recoverable oil in an area known as the Bakken Formation. With the size and remoteness of the discovery, the question became 'can a business case be made for increasing refining capacity in North Dakota?' And, if so what is the impact to existing players in the region. To answer the question, a study committee comprised of leaders in the region's petroleum industry were brought together to define the scope of the study, hire a consulting firm and oversee the study. The study committee met frequently to provide input on the findings and modify the course of the study, as needed. The study concluded that the Petroleum Area Defense District II (PADD II) has an oversupply of gasoline. With that in mind, a niche market, naphtha, was identified. Naphtha is used as a diluent used for pipelining the bitumen (heavy crude) from Canada to crude markets. The study predicted there will continue to be an increase in the demand for naphtha through 2030. The study estimated the optimal configuration for the refinery at 34,000 barrels per day (BPD) producing 15,000 BPD of naphtha and a 52 percent refinery charge for jet and diesel yield. The financial modeling assumed the sponsor of a refinery would invest its own capital to pay for construction costs. With this assumption, the internal rate of return is 9.2 percent which is not sufficient to attract traditional investment given the risk factor of the project. With that in mind, those interested in pursuing this niche market will need to identify incentives to improve the rate of return.

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

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

    Feet) Coalbed Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells Kentucky Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Coalbed

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

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

    Feet) Coalbed Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells Maryland Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Coalbed

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

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

    Feet) Coalbed Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells Nebraska Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Coalbed

  18. Firing of pulverized solvent refined coal

    DOE Patents [OSTI]

    Lennon, Dennis R. (Allentown, PA); Snedden, Richard B. (McKeesport, PA); Foster, Edward P. (Macungie, PA); Bellas, George T. (Library, PA)

    1990-05-15

    A burner for the firing of pulverized solvent refined coal is constructed and operated such that the solvent refined coal can be fired successfully without any performance limitations and without the coking of the solvent refined coal on the burner components. The burner is provided with a tangential inlet of primary air and pulverized fuel, a vaned diffusion swirler for the mixture of primary air and fuel, a center water-cooled conical diffuser shielding the incoming fuel from the heat radiation from the flame and deflecting the primary air and fuel steam into the secondary air, and a watercooled annulus located between the primary air and secondary air flows.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  6. Florida Natural Gas Gross Withdrawals from Gas Wells (Million...

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

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

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

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

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

  8. California Natural Gas Gross Withdrawals from Gas Wells (Million...

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

    Gas Wells (Million Cubic Feet) California Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 13,569 12,155 ...

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

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

    Shale Gas (Million Cubic Feet) California Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 ...

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

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

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

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

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

    Gas Wells (Million Cubic Feet) Texas Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 507,274 440,015 ...

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

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

    Gas Wells (Million Cubic Feet) Oklahoma Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 163,978 147,543 ...

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

  5. Property:CoolingTowerWaterUseSummerGross | Open Energy Information

    Open Energy Info (EERE)

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

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

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

    Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSNUSMMCF" "Date","U.S. Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ...

  7. U.S. Refining Capacity Utilization

    Reports and Publications (EIA)

    1995-01-01

    This article briefly reviews recent trends in domestic refining capacity utilization and examines in detail the differences in reported crude oil distillation capacities and utilization rates among different classes of refineries.

  8. Refining Bio-Oil alongside Petroleum | Department of Energy

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

    Refining Bio-Oil alongside Petroleum Refining Bio-Oil alongside Petroleum April 9, 2013 - 12:00am Addthis W.R. Grace, a leading provider of refining technologies, and Pacific ...

  9. Sandia National Laboratories: Predicting Performance Margins

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

    Predicting Performance Margins Facebook Twitter YouTube Flickr RSS Top Predicting Performance Margins Project Organization PPM Team Members Publications Future Directions News Predicting Performance Margins Predicting Performance Margins Texture density plots EBSD measurements and CP-FEM predictions of tantalum oligocrystal. Texture density plots Strain field A comparison of measured and predicted surface strain fields at 4.3% applied strain. Strain field Grain boundary structure

  10. Source: Energy Information Administration, Form EIA-782A, "Refiners...

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

    Motor Gasoline No. 2 Distillate Residual Fuel Oil 5. U.S. Refiner Wholesale Petroleum Product Volumes Figure Percentages of Refiner Wholesale Volumes 1995 Annual Averages Motor...

  11. Source: Energy Information Administration, Form EIA-782A, "Refiners...

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

    Day Motor Gasoline No. 2 Distillate Residual Fuel Oil 3. U.S. Refiner Retail Petroleum Product Volumes Figure Percentages of Refiner Retail Volumes 1997 Annual Averages Motor...

  12. Source: Energy Information Administration, Form EIA-782A, "Refiners...

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

    Motor Gasoline No. 2 Distillate Residual Fuel Oil 5. U.S. Refiner Wholesale Petroleum Product Volumes Figure Percentages of Refiner Wholesale Volumes 1997 Annual Averages Motor...

  13. Source: Energy Information Administration, Form EIA-782A, "Refiners...

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

    Day Motor Gasoline No. 2 Distillate Residual Fuel Oil 3. U.S. Refiner Retail Petroleum Product Volumes Figure Percentages of Refiner Retail Volumes 1995 Annual Averages Motor...

  14. Source: Energy Information Administration, Form EIA-782A, "Refiners...

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

    Day Motor Gasoline No. 2 Distillate Residual Fuel Oil 3. U.S. Refiner Retail Petroleum Product Volumes Figure Percentages of Refiner Retail Volumes 1996 Annual Averages Motor...

  15. Source: Energy Information Administration, Form EIA-782A, "Refiners...

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

    Motor Gasoline No. 2 Distillate Residual Fuel Oil 5. U.S. Refiner Wholesale Petroleum Product Volumes Figure Percentages of Refiner Wholesale Volumes 1996 Annual Averages Motor...

  16. ITP Petroleum Refining: Impacts of Condition Assessment on Energy...

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

    Impacts of Condition Assessment on Energy Use: Selected Applications in Chemicals Processing and Petroleum Refining ITP Petroleum Refining: Impacts of Condition Assessment on ...

  17. Gross alpha analytical modifications that improve wastewater treatment compliance

    SciTech Connect (OSTI)

    Tucker, B.J.; Arndt, S.

    2007-07-01

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

  18. Parallel tetrahedral mesh refinement with MOAB.

    SciTech Connect (OSTI)

    Thompson, David C.; Pebay, Philippe Pierre

    2008-12-01

    In this report, we present the novel functionality of parallel tetrahedral mesh refinement which we have implemented in MOAB. This report details work done to implement parallel, edge-based, tetrahedral refinement into MOAB. The theoretical basis for this work is contained in [PT04, PT05, TP06] while information on design, performance, and operation specific to MOAB are contained herein. As MOAB is intended mainly for use in pre-processing and simulation (as opposed to the post-processing bent of previous papers), the primary use case is different: rather than refining elements with non-linear basis functions, the goal is to increase the number of degrees of freedom in some region in order to more accurately represent the solution to some system of equations that cannot be solved analytically. Also, MOAB has a unique mesh representation which impacts the algorithm. This introduction contains a brief review of streaming edge-based tetrahedral refinement. The remainder of the report is broken into three sections: design and implementation, performance, and conclusions. Appendix A contains instructions for end users (simulation authors) on how to employ the refiner.

  19. Using supercritical fluids to refine hydrocarbons

    DOE Patents [OSTI]

    Yarbro, Stephen Lee

    2015-06-09

    A system and method for reactively refining hydrocarbons, such as heavy oils with API gravities of less than 20 degrees and bitumen-like hydrocarbons with viscosities greater than 1000 cp at standard temperature and pressure, using a selected fluid at supercritical conditions. A reaction portion of the system and method delivers lightweight, volatile hydrocarbons to an associated contacting unit which operates in mixed subcritical/supercritical or supercritical modes. Using thermal diffusion, multiphase contact, or a momentum generating pressure gradient, the contacting unit separates the reaction products into portions that are viable for use or sale without further conventional refining and hydro-processing techniques.

  20. Arbitrary Lagrangian Eulerian Adaptive Mesh Refinement

    Energy Science and Technology Software Center (OSTI)

    2009-09-29

    This is a simulation code involving an ALE (arbitrary Lagrangian-Eulerian) hydrocode with AMR (adaptive mesh refinement) and pluggable physics packages for material strength, heat conduction, radiation diffusion, and laser ray tracing developed a LLNL, UCSD, and Berkeley Lab. The code is an extension of the open source SAMRAI (Structured Adaptive Mesh Refinement Application Interface) code/library. The code can be used in laser facilities such as the National Ignition Facility. The code is alsi being appliedmore » to slurry flow (landslides).« less

  1. ITP Petroleum Refining: Energy Efficiency Roadmap for Petroleum Refineries

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

    in California | Department of Energy Energy Efficiency Roadmap for Petroleum Refineries in California ITP Petroleum Refining: Energy Efficiency Roadmap for Petroleum Refineries in California PDF icon refining_roadmap.pdf More Documents & Publications ITP Petroleum Refining: Profile of the Petroleum Refining Industry in California: California Industries of the Future Program ITP Petroleum Refining: Energy Efficiency Roadmap for Petroleum Refineries in California Bandwidth Study U.S.

  2. Energy Bandwidth for Petroleum Refining Processes

    SciTech Connect (OSTI)

    none,

    2006-10-01

    The petroleum refining energy bandwidth report analyzes the most energy-intensive unit operations used in U.S. refineries: crude oil distillation, fluid catalytic cracking, catalytic hydrotreating, catalytic reforming, and alkylation. The "bandwidth" provides a snapshot of the energy losses that can potentially be recovered through best practices and technology R&D.

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

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

    Other States Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 72,328 63,451 67,732 63,118 62,276 59,557 ...

  4. New Mexico Natural Gas Gross Withdrawals and Production

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

    10 2011 2012 2013 2014 2015 View History Gross Withdrawals 1,341,475 1,287,682 1,276,296 1,247,394 1,265,579 1,289,908 1967-2015 From Gas Wells 616,134 556,024 653,057 588,127 ...

  5. Federal Offshore Louisiana Natural Gas Gross Withdrawals and...

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

    Data Series Area 2009 2010 2011 2012 2013 2014 View History Gross Withdrawals NA NA NA 0 0 0 1977-2014 From Gas Wells NA NA NA 0 0 0 1977-2014 From Oil Wells NA NA NA 0 0 0 ...

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

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

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

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

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

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

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

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

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

  9. Environmental regulations and changes in petroleum refining operations

    SciTech Connect (OSTI)

    Lidderdale, T.C.M.

    1996-03-01

    The U.S. petroleum industry has responded to four major new federal rules on motor gasoline product quality in the last 6 years: Phase 1 Summer Volatility (Rvp) Regulation, June 1989; Phase 2 Summer Volatility (Rvp) regulation, May 1992; oxygenated Gasoline, November 1992; and reformulated Gasoline Phase I Simple Model, December 1994. These regulations have generated significant changes in domestic refinery operations, affecting marginal production costs and market prices, refinery yields, and the seasonality of production. Some changes have been dramatic. The price of motor gasoline has increased by as much as 60 {cents}/gal due to regulations. Refinery yields of motor gasoline (refinery output of motor gasoline as a fraction of refinery inputs or total refinery output), which historically peaked in the early summer to meet high summer driving demand, now are highest during the winter months. These changes in domestic refining operations are identified and related to the vapor pressure, oxygenated and reformulated gasoline (RFG) product quality regulations. This analysis uses linear regression equations from the Energy Information Administration`s (EIA) Short-Term Integrated Forecasting System (STIFS). The STIFS model is used for producing forecasts appearing in the EIA`s Short-Term Energy Outlook.

  10. Using supercritical fluids to refine hydrocarbons

    DOE Patents [OSTI]

    Yarbro, Stephen Lee

    2014-11-25

    This is a method to reactively refine hydrocarbons, such as heavy oils with API gravities of less than 20.degree. and bitumen-like hydrocarbons with viscosities greater than 1000 cp at standard temperature and pressure using a selected fluid at supercritical conditions. The reaction portion of the method delivers lighter weight, more volatile hydrocarbons to an attached contacting device that operates in mixed subcritical or supercritical modes. This separates the reaction products into portions that are viable for use or sale without further conventional refining and hydro-processing techniques. This method produces valuable products with fewer processing steps, lower costs, increased worker safety due to less processing and handling, allow greater opportunity for new oil field development and subsequent positive economic impact, reduce related carbon dioxide, and wastes typical with conventional refineries.

  11. Structured Adaptive Mesh Refinement Application Infrastructure

    Energy Science and Technology Software Center (OSTI)

    2010-07-15

    SAMRAI is an object-oriented support library for structured adaptice mesh refinement (SAMR) simulation of computational science problems, modeled by systems of partial differential equations (PDEs). SAMRAI is developed and maintained in the Center for Applied Scientific Computing (CASC) under ASCI ITS and PSE support. SAMRAI is used in a variety of application research efforts at LLNL and in academia. These applications are developed in collaboration with SAMRAI development team members.

  12. Property:CoolingTowerWaterUseAnnlAvgGross | Open Energy Information

    Open Energy Info (EERE)

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

  13. Property:CoolingTowerWaterUseWinterGross | Open Energy Information

    Open Energy Info (EERE)

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

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

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

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

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

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

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

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

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

    Gross Withdrawals (Million Cubic Feet) Louisiana--onshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 1,535,033 1,538,511 1,552,603 1,608,633 1,469,698 1,357,155 1,386,478 1,434,389 2000's 1,342,963 1,370,802 1,245,270 1,244,672 1,248,050 1,202,328 1,280,758 1,309,960 1,301,523 1,482,252 2010's 2,148,447 2,969,297 2,882,193 2,289,193 1,925,968 - = No Data Reported; -- = Not Applicable; NA = Not Available;

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

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

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

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

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

    Gross Withdrawals (Million Cubic Feet) Alabama--onshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 222,009 228,298 229,483 223,527 221,233 220,674 212,470 207,863 2000's 200,255 191,119 184,500 176,571 173,106 164,304 160,381 155,167 152,051 146,751 2010's 139,215 134,305 128,312 120,666 110,226 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

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

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

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

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

    Gross Withdrawals (Million Cubic Feet) Alaska--onshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2,409,336 2,545,144 2,861,599 3,256,352 3,247,533 3,257,096 3,245,736 3,236,241 2000's 3,265,436 3,164,843 3,183,857 3,256,295 3,309,960 3,262,379 2,850,934 3,105,086 3,027,696 2,954,896 2010's 2,826,952 2,798,220 2,857,485 2,882,956 2,803,429 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

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

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

    Gross Withdrawals (Million Cubic Feet) Calif--onshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 386,382 346,733 334,987 322,544 326,919 317,137 315,701 347,667 2000's 334,983 336,629 322,138 303,480 287,205 291,271 301,921 286,584 281,088 258,983 2010's 273,136 237,388 214,509 219,386 218,512 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

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

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

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

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

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

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

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

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

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

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

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

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

  6. Diameter-Refined Metallic Carbon Nanotubes as Optically Tunable Transparent

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

    Conductors | ANSER Center | Argonne-Northwestern National Laboratory Diameter-Refined Metallic Carbon Nanotubes as Optically Tunable Transparent Conductors Home > Research > ANSER Research Highlights > Diameter-Refined Metallic Carbon Nanotubes as Optically Tunable Transparent Conductors

  7. Grain Refinement of Permanent Mold Cast Copper Base Alloys

    SciTech Connect (OSTI)

    M.Sadayappan; J.P.Thomson; M.Elboujdaini; G.Ping Gu; M. Sahoo

    2005-04-01

    Grain refinement is a well established process for many cast and wrought alloys. The mechanical properties of various alloys could be enhanced by reducing the grain size. Refinement is also known to improve casting characteristics such as fluidity and hot tearing. Grain refinement of copper-base alloys is not widely used, especially in sand casting process. However, in permanent mold casting of copper alloys it is now common to use grain refinement to counteract the problem of severe hot tearing which also improves the pressure tightness of plumbing components. The mechanism of grain refinement in copper-base alloys is not well understood. The issues to be studied include the effect of minor alloy additions on the microstructure, their interaction with the grain refiner, effect of cooling rate, and loss of grain refinement (fading). In this investigation, efforts were made to explore and understand grain refinement of copper alloys, especially in permanent mold casting conditions.

  8. ITP Petroleum Refining: Impacts of Condition Assessment on Energy Use:

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

    Selected Applications in Chemicals Processing and Petroleum Refining | Department of Energy Impacts of Condition Assessment on Energy Use: Selected Applications in Chemicals Processing and Petroleum Refining ITP Petroleum Refining: Impacts of Condition Assessment on Energy Use: Selected Applications in Chemicals Processing and Petroleum Refining PDF icon condition_assessment.pdf More Documents & Publications Effective Fouling Minimization Increases the Efficiency and Productivity of

  9. Bandwidth Study U.S. Petroleum Refining | Department of Energy

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

    Petroleum Refining Bandwidth Study U.S. Petroleum Refining Bandwidth Study U.S. Petroleum Refining Energy bandwidth studies of U.S. manufacturing sectors can serve as foundational references in framing the range (or bandwidth) of potential energy savings opportunities. This bandwidth study examines energy consumption and potential energy savings opportunities in U.S. petroleum refining. The study relies on multiple sources to estimate the energy used in nine individual process areas,

  10. ITP Petroleum Refining: Petroleum Technology Vision 2020 | Department of

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

    Energy Petroleum Technology Vision 2020 ITP Petroleum Refining: Petroleum Technology Vision 2020 PDF icon techvision.pdf More Documents & Publications Manufacturing Energy and Carbon Footprint References Industrial Technologies Funding Profile by Subprogram ITP Petroleum Refining: Energy Bandwidth for Petroleum Refining Processes

  11. Genealogy of major U.S. refiners - Energy Information Administration

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

    See full Genealogy of Major U.S. Refiners Previous Release Genealogy of Major U.S. Refiners Genealogy of Major U.S. Refiners Release date: September 18, 2013 figre 1. World energy consumption, 1990-2040. The structure of the U.S. petroleum refining industry has changed substantially over the past several years. In the diagram the companies shown on the right side are presently active in U.S. refining. The transactions over the past 25 years that created these companies also are shown. The

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

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

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

  13. Marginal Ice Zone Observations and Processes Experiment

    Office of Scientific and Technical Information (OSTI)

    46 Investigations of Spatial and Temporal Variability of Ocean and Ice Conditions in and Near the Marginal Ice Zone: The "Marginal Ice Zone Observations and Processes Experiment" (MIZOPEX) Final Campaign Summary JA Maslanik February 2016 CLIMATE RESEARCH FACILITY DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any

  14. Deformable elastic network refinement for low-resolution macromolecular crystallography

    SciTech Connect (OSTI)

    Schrder, Gunnar F.; Levitt, Michael; Brunger, Axel T.

    2014-09-01

    An overview of applications of the deformable elastic network (DEN) refinement method is presented together with recommendations for its optimal usage. Crystals of membrane proteins and protein complexes often diffract to low resolution owing to their intrinsic molecular flexibility, heterogeneity or the mosaic spread of micro-domains. At low resolution, the building and refinement of atomic models is a more challenging task. The deformable elastic network (DEN) refinement method developed previously has been instrumental in the determinion of several structures at low resolution. Here, DEN refinement is reviewed, recommendations for its optimal usage are provided and its limitations are discussed. Representative examples of the application of DEN refinement to challenging cases of refinement at low resolution are presented. These cases include soluble as well as membrane proteins determined at limiting resolutions ranging from 3 to 7 . Potential extensions of the DEN refinement technique and future perspectives for the interpretation of low-resolution crystal structures are also discussed.

  15. Impact of Millimeter-Level Margins on Peripheral Normal Brain Sparing for Gamma Knife Radiosurgery

    SciTech Connect (OSTI)

    Ma, Lijun; Sahgal, Arjun; Larson, David A.; Pinnaduwage, Dilini; Fogh, Shannon; Barani, Igor; Nakamura, Jean; McDermott, Michael; Sneed, Penny

    2014-05-01

    Purpose: To investigate how millimeter-level margins beyond the gross tumor volume (GTV) impact peripheral normal brain tissue sparing for Gamma Knife radiosurgery. Methods and Materials: A mathematical formula was derived to predict the peripheral isodose volume, such as the 12-Gy isodose volume, with increasing margins by millimeters. The empirical parameters of the formula were derived from a cohort of brain tumor and surgical tumor resection cavity cases (n=15) treated with the Gamma Knife Perfexion. This was done by first adding margins from 0.5 to 3.0 mm to each individual target and then creating for each expanded target a series of treatment plans of nearly identical quality as the original plan. Finally, the formula was integrated with a published logistic regression model to estimate the treatment-induced complication rate for stereotactic radiosurgery when millimeter-level margins are added. Results: Confirmatory correlation between the nominal target radius (ie, R{sub T}) and commonly used maximum target size was found for the studied cases, except for a few outliers. The peripheral isodose volume such as the 12-Gy volume was found to increase exponentially with increasing Δ/R{sub T}, where Δ is the margin size. Such a curve fitted the data (logarithmic regression, R{sup 2} >0.99), and the 12-Gy isodose volume was shown to increase steeply with a 0.5- to 3.0-mm margin applied to a target. For example, a 2-mm margin on average resulted in an increase of 55% ± 16% in the 12-Gy volume; this corresponded to an increase in the symptomatic necrosis rate of 6% to 25%, depending on the Δ/R{sub T} values for the target. Conclusions: Millimeter-level margins beyond the GTV significantly impact peripheral normal brain sparing and should be applied with caution. Our model provides a rapid estimate of such an effect, particularly for large and/or irregularly shaped targets.

  16. ITP Steel: Steel Industry Marginal Opportunity Study September...

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

    Marginal Opportunity Study September 2005 ITP Steel: Steel Industry Marginal Opportunity Study September 2005 PDF icon steelmarginalopportunity.pdf More Documents & Publications ...

  17. Assessment of Biomass Resources from Marginal Lands in APEC Countries...

    Open Energy Info (EERE)

    Biomass Resources from Marginal Lands in APEC Countries Jump to: navigation, search Logo: Assessment of Biomass Resources from Marginal Lands in APEC Countries Name Assessment of...

  18. Savannah River reactor process water heat exchanger tube structural integrity margin Task Number 92-005-1

    SciTech Connect (OSTI)

    Mertz, G.E.; Barnes, D.M.; Sindelar, R.L.

    1992-02-01

    Twelve process water heat exchangers are designed to remove heat generated in the reactor tank. Each heat exchanger has approximately 9000, 1/2 inch diameter {times} 0.049 inches thick tubes. Minimum structural tubing requirements and the leak rate through postulated tubing defects are developed in this report A comparison of the structural requirements and the defect size calculated to produce leak rates of 0.5 lbs./day demonstrate adequate structural margins against gross tube rupture. Commercial nuclear experience with pressurized water reactor (PWR) steam generator plugging criteria are used for guidance in performing this analysis. It is important to note that the SRS reactors are low energy systems with normal operating pressures of 203 psig at 130{degree}F while the PWR is a high energy system with operating pressures near 2200 psig at 600{degree}F. Clearly the PVM steam generator has loadings which are more severe than the SRS heat exchangers. Consistent with the Regulatory Guide 1.121 criteria both wastage (wall thinning) and cracking are addressed. Structural limits on wall thinning and crack size are developed to preclude gross rupture. ASME Section XI criteria, with the factors of safety recommended by Regulatory Guide 1.121 are used to develop the allowable crack size criteria. Normal operating conditions (pressure, dead weight, and hydraulic drag) are considered with seismic and water hammer accident conditions. Both the wall thinning and crack size criteria are developed for the end-of-evaluation period. Allowances for corrosion, wear, or crack growth have not been included in this analysis Structurally, the tubing is over designed and can tolerate large defects with adequate margins against gross rupture. The structural margins of heat exchanger tubing are evident by contrasting the tubing`s structural capacity, per the ASME Code, with its operating conditions/configuration.

  19. Savannah River reactor process water heat exchanger tube structural integrity margin Task Number 92-005-1

    SciTech Connect (OSTI)

    Mertz, G.E.; Barnes, D.M.; Sindelar, R.L.

    1992-02-01

    Twelve process water heat exchangers are designed to remove heat generated in the reactor tank. Each heat exchanger has approximately 9000, 1/2 inch diameter {times} 0.049 inches thick tubes. Minimum structural tubing requirements and the leak rate through postulated tubing defects are developed in this report A comparison of the structural requirements and the defect size calculated to produce leak rates of 0.5 lbs./day demonstrate adequate structural margins against gross tube rupture. Commercial nuclear experience with pressurized water reactor (PWR) steam generator plugging criteria are used for guidance in performing this analysis. It is important to note that the SRS reactors are low energy systems with normal operating pressures of 203 psig at 130{degree}F while the PWR is a high energy system with operating pressures near 2200 psig at 600{degree}F. Clearly the PVM steam generator has loadings which are more severe than the SRS heat exchangers. Consistent with the Regulatory Guide 1.121 criteria both wastage (wall thinning) and cracking are addressed. Structural limits on wall thinning and crack size are developed to preclude gross rupture. ASME Section XI criteria, with the factors of safety recommended by Regulatory Guide 1.121 are used to develop the allowable crack size criteria. Normal operating conditions (pressure, dead weight, and hydraulic drag) are considered with seismic and water hammer accident conditions. Both the wall thinning and crack size criteria are developed for the end-of-evaluation period. Allowances for corrosion, wear, or crack growth have not been included in this analysis Structurally, the tubing is over designed and can tolerate large defects with adequate margins against gross rupture. The structural margins of heat exchanger tubing are evident by contrasting the tubing's structural capacity, per the ASME Code, with its operating conditions/configuration.

  20. Visualization Tools for Adaptive Mesh Refinement Data

    SciTech Connect (OSTI)

    Weber, Gunther H.; Beckner, Vincent E.; Childs, Hank; Ligocki,Terry J.; Miller, Mark C.; Van Straalen, Brian; Bethel, E. Wes

    2007-05-09

    Adaptive Mesh Refinement (AMR) is a highly effective method for simulations that span a large range of spatiotemporal scales, such as astrophysical simulations that must accommodate ranges from interstellar to sub-planetary. Most mainstream visualization tools still lack support for AMR as a first class data type and AMR code teams use custom built applications for AMR visualization. The Department of Energy's (DOE's) Science Discovery through Advanced Computing (SciDAC) Visualization and Analytics Center for Enabling Technologies (VACET) is currently working on extending VisIt, which is an open source visualization tool that accommodates AMR as a first-class data type. These efforts will bridge the gap between general-purpose visualization applications and highly specialized AMR visual analysis applications. Here, we give an overview of the state of the art in AMR visualization research and tools and describe how VisIt currently handles AMR data.

  1. Visualization of Scalar Adaptive Mesh Refinement Data

    SciTech Connect (OSTI)

    VACET; Weber, Gunther; Weber, Gunther H.; Beckner, Vince E.; Childs, Hank; Ligocki, Terry J.; Miller, Mark C.; Van Straalen, Brian; Bethel, E. Wes

    2007-12-06

    Adaptive Mesh Refinement (AMR) is a highly effective computation method for simulations that span a large range of spatiotemporal scales, such as astrophysical simulations, which must accommodate ranges from interstellar to sub-planetary. Most mainstream visualization tools still lack support for AMR grids as a first class data type and AMR code teams use custom built applications for AMR visualization. The Department of Energy's (DOE's) Science Discovery through Advanced Computing (SciDAC) Visualization and Analytics Center for Enabling Technologies (VACET) is currently working on extending VisIt, which is an open source visualization tool that accommodates AMR as a first-class data type. These efforts will bridge the gap between general-purpose visualization applications and highly specialized AMR visual analysis applications. Here, we give an overview of the state of the art in AMR scalar data visualization research.

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

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

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

  3. REFINING PROGRAM HELPS REENERGIZE NEBRASKA UPGRADES | Department of Energy

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

    REFINING PROGRAM HELPS REENERGIZE NEBRASKA UPGRADES REFINING PROGRAM HELPS REENERGIZE NEBRASKA UPGRADES REFINING PROGRAM HELPS REENERGIZE NEBRASKA UPGRADES In a state where energy costs are low and the home performance workforce had not been established, Nebraska's two largest cities-Omaha and Lincoln-took on the challenge of promoting whole home energy upgrades to homeowners, businesses, and nonprofit organizations. Using $10 million in seed funding from the U.S. Department of Energy's (DOE's)

  4. Bandwidth Study U.S. Petroleum Refining | Department of Energy

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

    This bandwidth study examines energy consumption and potential energy savings opportunities in U.S. petroleum refining. The study relies on multiple sources to estimate the energy ...

  5. Developing Refined Products Storage in the Strategic Petroleum...

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

    ... These pipelines supply all or some of the refined products consumed in major population centers such as Nashville, TN; Atlanta, GA; Charlotte, NC; Washington, DC; Philadelphia, PA; ...

  6. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

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

    of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information Administration Petroleum Marketing Annual 1997 Table 43....

  7. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

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

    1995 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per Day) - Continued Geographic Area Month Premium All Grades Sales...

  8. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

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

    2000 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per Day) - Continued Geographic Area Month Premium All Grades Sales...

  9. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

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

    of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information Administration Petroleum Marketing Annual 1996 Table 43....

  10. The Space-Based Telescopes for Actionable Refinement of Ephemeris...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: The Space-Based Telescopes for Actionable Refinement of Ephemeris Pathfinder Mission Citation Details In-Document Search Title: The Space-Based Telescopes for ...

  11. Secretary Bodman Tours Refinery and Calls for More Domestic Refining...

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

    called on Congress to simplify the approval process for refiners to expand their refineries, which will help reduce America's imports of foreign oil and the price of energy. ...

  12. EERE Success Story—Refining Bio-Oil alongside Petroleum

    Broader source: Energy.gov [DOE]

    W.R. Grace and Pacific Northwest National Laboratory are working to establish a bio-oil refining process that users existing petroleum refinery infrastructure.

  13. ,"U.S. Reformulated, Average Refiner Gasoline Prices"

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

    ...www.eia.govdnavpetpetprirefmg2cnusepm0rdpgalm.htm" ,"Source:","Energy Information ... Reformulated Gasoline Retail Sales by Refiners (Dollars per ...

  14. ,"U.S. Conventional, Average Refiner Gasoline Prices"

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

    ...www.eia.govdnavpetpetprirefmg2cnusepm0udpgalm.htm" ,"Source:","Energy Information ... Conventional Gasoline Retail Sales by Refiners (Dollars per ...

  15. The Space-Based Telescopes for Actionable Refinement of Ephemeris...

    Office of Scientific and Technical Information (OSTI)

    Title: The Space-Based Telescopes for Actionable Refinement of Ephemeris Pathfinder Mission Authors: Simms, L ; De Vries, W ; RIot, V ; Olivier, S ; Pertica, A ; Bauman, B ; ...

  16. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    Energy Information Administration Petroleum Marketing Annual 1995 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  17. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

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

    250 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  18. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

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

    Energy Information Administration Petroleum Marketing Annual 1995 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  19. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    134 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  20. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    134 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  1. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    220 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  2. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

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

    - - - - W W - - - - - - See footnotes at end of table. 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State 292 Energy...

  3. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

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

    250 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  4. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    220 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  5. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    Energy Information Administration Petroleum Marketing Annual 1995 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  6. ITP Petroleum Refining: Energy Efficiency Roadmap for Petroleum...

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

    Energy Efficiency Roadmap for Petroleum Refineries in California ITP Petroleum Refining: Energy Efficiency Roadmap for Petroleum Refineries in California PDF icon ...

  7. ,"Motor Gasoline Sales to End Users, Total Refiner Sales Volumes...

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

    Sales to End Users, Total Refiner Sales Volumes",60,"Monthly","22016","1151983" ,"Release Date:","522016" ,"Next Release Date:","612016" ,"Excel File Name:","petconsrefmg...

  8. ,"No. 2 Distillate Sales to End Users Refiner Sales Volumes"

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

    Sales to End Users Refiner Sales Volumes",60,"Monthly","22016","1151983" ,"Release Date:","522016" ,"Next Release Date:","612016" ,"Excel File Name:","petconsrefot...

  9. Refiners react to changes in the pipeline infrastructure

    SciTech Connect (OSTI)

    Giles, K.A.

    1997-06-01

    Petroleum pipelines have long been a critical component in the distribution of crude and refined products in the U.S. Pipelines are typically the most cost efficient mode of transportation for reasonably consistent flow rates. For obvious reasons, inland refineries and consumers are much more dependent on petroleum pipelines to provide supplies of crude and refined products than refineries and consumers located on the coasts. Significant changes in U.S. distribution patterns for crude and refined products are reshaping the pipeline infrastructure and presenting challenges and opportunities for domestic refiners. These changes are discussed.

  10. New Process for Grain Refinement of Aluminum. Final Report

    SciTech Connect (OSTI)

    Dr. Joseph A. Megy

    2000-09-22

    A new method of grain refining aluminum involving in-situ formation of boride nuclei in molten aluminum just prior to casting has been developed in the subject DOE program over the last thirty months by a team consisting of JDC, Inc., Alcoa Technical Center, GRAS, Inc., Touchstone Labs, and GKS Engineering Services. The Manufacturing process to make boron trichloride for grain refining is much simpler than preparing conventional grain refiners, with attendant environmental, capital, and energy savings. The manufacture of boride grain refining nuclei using the fy-Gem process avoids clusters, salt and oxide inclusions that cause quality problems in aluminum today.

  11. Fluidization Techniques in Producing Refined Uranium from Ore...

    Office of Scientific and Technical Information (OSTI)

    steps of the refining process is described. ... on a pilot scale using equipment which was originally ... Subject: STABLE ISOTOPE SEPARATION; CHEMICAL REACTIONS; ...

  12. ,"U.S. Total Refiner Petroleum Product Prices"

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

    NUSDPG","EMAEPPRPTGNUSDPG","EMAEPPRLPTGNUSDPG","EMAEPPRHPTGNUSDPG" "Date","U.S. Total Gasoline Retail Sales by Refiners (Dollars per Gallon)","U.S. Aviation Gasoline...

  13. ,"Conventional Gasoline Sales to End Users, Total Refiner Sales...

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

    Sales to End Users, Total Refiner Sales Volumes",60,"Monthly","22016","1151994" ,"Release Date:","522016" ,"Next Release Date:","612016" ,"Excel File Name:","petconsrefmg...

  14. Risk Informed Margins Management as part of Risk Informed Safety Margin Characterization

    SciTech Connect (OSTI)

    Curtis Smith

    2014-06-01

    The ability to better characterize and quantify safety margin is important to improved decision making about Light Water Reactor (LWR) design, operation, and plant life extension. A systematic approach to characterization of safety margins and the subsequent margin management options represents a vital input to the licensee and regulatory analysis and decision making that will be involved. In addition, as research and development in the LWR Sustainability (LWRS) Program and other collaborative efforts yield new data, sensors, and improved scientific understanding of physical processes that govern the aging and degradation of plant SSCs needs and opportunities to better optimize plant safety and performance will become known. To support decision making related to economics, readability, and safety, the Risk Informed Safety Margin Characterization (RISMC) Pathway provides methods and tools that enable mitigation options known as risk informed margins management (RIMM) strategies.

  15. Adaptive h -refinement for reduced-order models: ADAPTIVE h -refinement for reduced-order models

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

    Carlberg, Kevin T.

    2014-11-05

    Our work presents a method to adaptively refine reduced-order models a posteriori without requiring additional full-order-model solves. The technique is analogous to mesh-adaptive h-refinement: it enriches the reduced-basis space online by ‘splitting’ a given basis vector into several vectors with disjoint support. The splitting scheme is defined by a tree structure constructed offline via recursive k-means clustering of the state variables using snapshot data. This method identifies the vectors to split online using a dual-weighted-residual approach that aims to reduce error in an output quantity of interest. The resulting method generates a hierarchy of subspaces online without requiring large-scale operationsmore » or full-order-model solves. Furthermore, it enables the reduced-order model to satisfy any prescribed error tolerance regardless of its original fidelity, as a completely refined reduced-order model is mathematically equivalent to the original full-order model. Experiments on a parameterized inviscid Burgers equation highlight the ability of the method to capture phenomena (e.g., moving shocks) not contained in the span of the original reduced basis.« less

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

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

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

  17. Virginia Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 19,038 37,808 41,230 2000's 36,700 33,118 34,936 35,256 48,784 66,951 60,321 90,573 76,983 94,829 2010's 139,755 142,284 189,848 171,588 158,672 243,116

    09 2010 2011 2012 2013 2014 View History Gross Withdrawals 140,738 147,255 151,094 146,405 139,382 131,885 1967-2014 From Gas Wells 16,046 23,086 20,375 21,802 26,815 27,052 1967-2014 From Oil Wells 0 0 0 9 9 9 2006-2014 From Shale Gas Wells 18,284

  18. Other States Total Natural Gas Gross Withdrawals and Production

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

    Monthly-Million Cubic Feet Monthly-Million Cubic Feet per Day Annual-Million Cubic Feet Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History Gross Withdrawals 5,864,402 6,958,125 8,225,321 689,082 633,853 596,357 1991-2015 From Gas Wells 2,523,173 2,599,172 3,177,021 362,605 328,809 1991-2014 From Oil Wells 691,643 728,857 279,627 23,391 22,817 1991-2014 From

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

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 24,171 52,846 49,661 2000's 69,451 82,542 55,854 74,400 88,734 87,998 75,186 101,503 116,637 108,705 2010's 108,827 60,252 81,444 101,930 90,099 113,988

    09 2010 2011 2012 2013 2014 View History Gross Withdrawals 821 1,407 1,344 770 770 950 1979-2014 From Gas Wells 821 1,407 1,344 770 770 950 1979-2014 From Oil Wells 0 0 0 0 0 0 1996-2014 From Shale Gas Wells 0 0 0 0 0 0 2007-2014 From Coalbed Wells 0

  20. Pennsylvania Natural Gas Gross Withdrawals from Coalbed Wells (Million

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 20,430 30,240 31,353 2000's 20,597 22,632 50,251 41,238 76,186 80,640 100,946 143,954 141,011 210,542 2010's 245,559 306,266 393,775 362,349 390,816 439,248

    10 2011 2012 2013 2014 2015 View History Gross Withdrawals 572,902 1,310,592 2,256,696 3,259,042 4,214,643 4,768,848 1967-2015 From Gas Wells 173,450 242,305 210,609 207,872 174,576 1967-2014 From Oil Wells 0 0 3,456 2,987 3,564 1967-2014

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

    SciTech Connect (OSTI)

    Pennock, Michael; Ura, Karma

    2011-01-15

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

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

    Energy Savers [EERE]

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

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

    SciTech Connect (OSTI)

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

    2007-06-19

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

  4. Steel refining with an electrochemical cell

    DOE Patents [OSTI]

    Blander, Milton; Cook, Glenn M.

    1988-01-01

    Apparatus for processing a metallic fluid containing iron oxide, container for a molten metal including an electrically conductive refractory disposed for contact with the molten metal which contains iron oxide, an electrolyte in the form of a basic slag on top of the molten metal, an electrode in the container in contact with the slag electrically separated from the refractory, and means for establishing a voltage across the refractory and the electrode to reduce iron oxide to iron at the surface of the refractory in contact with the iron oxide containing fluid. A process is disclosed for refining an iron product containing not more than about 10% by weight oxygen and not more than about 10% by weight sulfur, comprising providing an electrolyte of a slag containing one or more of calcium oxide, magnesium oxide, silica or alumina, providing a cathode of the iron product in contact with the electrolyte, providing an anode in contact with the electrolyte electrically separated from the cathode, and operating an electrochemical cell formed by the anode, the cathode and the electrolyte to separate oxygen or sulfur present in the iron product therefrom.

  5. Steel refining with an electrochemical cell

    DOE Patents [OSTI]

    Blander, M.; Cook, G.M.

    1985-05-21

    Disclosed is an apparatus for processing a metallic fluid containing iron oxide, container for a molten metal including an electrically conductive refractory disposed for contact with the molten metal which contains iron oxide, an electrolyte in the form of a basic slag on top of the molten metal, an electrode in the container in contact with the slag electrically separated from the refractory, and means for establishing a voltage across the refractory and the electrode to reduce iron oxide to iron at the surface of the refractory in contact with the iron oxide containing fluid. A process is disclosed for refining an iron product containing not more than about 10% by weight sulfur, comprising providing an electrolyte of a slag containing one or more of calcium oxide, magnesium oxide, silica or alumina, providing a cathode of the iron product in contact with the electrolyte, providing an anode in contact with the electrolyte electrically separated from the cathode, and operating an electrochemical cell formed by the anode, the cathode and the electrolyte to separate oxygen or sulfur present in the iron product therefrom.

  6. Steel refining with an electrochemical cell

    DOE Patents [OSTI]

    Blander, M.; Cook, G.M.

    1988-05-17

    Apparatus is described for processing a metallic fluid containing iron oxide, container for a molten metal including an electrically conductive refractory disposed for contact with the molten metal which contains iron oxide, an electrolyte in the form of a basic slag on top of the molten metal, an electrode in the container in contact with the slag electrically separated from the refractory, and means for establishing a voltage across the refractory and the electrode to reduce iron oxide to iron at the surface of the refractory in contact with the iron oxide containing fluid. A process is disclosed for refining an iron product containing not more than about 10% by weight oxygen and not more than about 10% by weight sulfur, comprising providing an electrolyte of a slag containing one or more of calcium oxide, magnesium oxide, silica or alumina, providing a cathode of the iron product in contact with the electrolyte, providing an anode in contact with the electrolyte electrically separated from the cathode, and operating an electrochemical cell formed by the anode, the cathode and the electrolyte to separate oxygen or sulfur present in the iron product therefrom. 2 figs.

  7. Refining and End Use Study of Coal Liquids

    SciTech Connect (OSTI)

    1997-10-01

    This report summarizes revisions to the design basis for the linear programing refining model that is being used in the Refining and End Use Study of Coal Liquids. This revision primarily reflects the addition of data for the upgrading of direct coal liquids.

  8. Reitveld refinement study of PLZT ceramics

    SciTech Connect (OSTI)

    Kumar, Rakesh; Bavbande, D. V.; Bafna, V. H.; Mohan, D.; Kothiyal, G. P.; Mishra, R.

    2013-02-05

    PLZT ceramics of composition Pb{sub 0.93}La{sub 0.07}(Zr{sub 0.60}Ti{sub 0.40})O{sub 3}, have been milled for 6hrs and 24hrs were prepared by solid state synthesis route. The 6hrs milled and 24hrs milled samples are represented as PLZT-6 and PLZT-24 ceramics respectively. X-ray diffraction (XRD) pattern was recorded at room temperature. The XRD pattern has been analyzed by employing Rietveld refinement method. Phase identification shows that all the peaks observed in PLZT-6 and PLZT-24 ceramics could be indexed to P4mm space group with tetragonal symmetry. The unit cell parameters of 6hrs milled PLZT ceramics are found to be a=b=4.0781(5)A and c=4.0938(7)A and for 24hrs milled PLZT ceramics unit cell parameters are a=b=4.0679(4)A and c=4.1010(5)A . The axial ratio c/a and unit cell volume of PLZT-6 are 1.0038 and 68.09(2)A{sup 3} respectively. In PLZT-24 samples, the axial ratio c/a value is 1.0080 which is little more than that of the 6hr milled PLZT sample whereas the unit cell volume decrease to 67.88 (1) A{sup 3}. An average crystallite size was estimated by using Scherrer's formula. Dielectric properties were obtained by measuring the capacitance and tand loss using Stanford LCR meter.

  9. Other States Natural Gas Gross Withdrawals from Coalbed Wells (Million

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

    Cubic Feet) Coalbed Wells (Million Cubic Feet) Other States Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 0 0 0 0 0 0 0 0 0 0 0 0 2003 5,335 4,954 5,465 5,228 5,405 5,163 4,817 5,652 5,165 5,347 4,814 5,420 2004 5,684 5,278 5,822 5,570 5,758 5,500 5,132 6,022 5,502 5,697 5,129 5,774 2005 5,889 5,469 6,033 5,771 5,967 5,699 5,318 6,240 5,702 5,903 5,315 5,983 2006 16,225 14,883 16,627 15,979 16,802 16,447 16,891

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

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2,194 5,782 5,686 2000's 4,202 4,433 13,712 3,667 4,833 17,181 12,287 19,376 9,584 8,399 2010's 19,284 15,575 31,194 14,536 26,919 52,015

    09 2010 2011 2012 2013 2014 View History Gross Withdrawals 113,300 135,330 124,243 106,122 94,665 78,737 1967-2014 From Gas Wells 111,782 133,521 122,578 106,122 94,665 78,737 1967-2014 From Oil Wells 1,518 1,809 1,665 0 0 0 1967-2014 From Shale Gas Wells 0 0 0 0 0

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

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2,687 5,080 4,582 2000's 5,522 4,290 4,947 4,593 3,340 8,066 7,787 10,908 7,230 3,331 2010's 3,949 4,223 7,696 5,080 4,132 4,634

    09 2010 2011 2012 2013 2014 View History Gross Withdrawals 2,916 2,255 1,980 1,328 1,032 402 1967-2014 From Gas Wells 2,734 2,092 1,854 1,317 1,027 400 1967-2014 From Oil Wells 182 163 126 11 5 1 1967-2014 From Shale Gas Wells 0 0 0 0 0 0 2007-2014 From Coalbed Wells 0 0 0

  12. Integrated process for the solvent refining of coal

    DOE Patents [OSTI]

    Garg, Diwakar

    1983-01-01

    A process is set forth for the integrated liquefaction of coal by the catalytic solvent refining of a feed coal in a first stage to liquid and solid products and the catalytic hydrogenation of the solid product in a second stage to produce additional liquid product. A fresh inexpensive, throw-away catalyst is utilized in the second stage hydrogenation of the solid product and this catalyst is recovered and recycled for catalyst duty in the solvent refining stage without any activation steps performed on the used catalyst prior to its use in the solvent refining of feed coal.

  13. Marginal Misses After Postoperative Intensity-Modulated Radiotherapy for Head and Neck Cancer

    SciTech Connect (OSTI)

    Chen, Allen M.; Farwell, D. Gregory; Luu, Quang; Chen, Leon M.; Vijayakumar, Srinivasan; Purdy, James A.

    2011-08-01

    Purpose: To describe the spatial distribution of local-regional recurrence (LRR) among patients treated postoperatively with intensity-modulated radiotherapy (IMRT) for head and neck cancer. Methods and Materials: The medical records of 90 consecutive patients treated by gross total resection and postoperative IMRT for squamous cell carcinoma of the head and neck from January 2003 to July 2009 were reviewed. Sites of disease were the oral cavity (43 patients), oropharynx (20 patients), larynx (15 patients), and hypopharynx (12 patients). Fifty patients (56%) received concurrent chemotherapy. Results: Seventeen of 90 patients treated with postoperative IMRT experienced LRR, yielding a 2-year estimate of local regional control of 80%. Among the LRR patients, 11 patients were classified as in-field recurrences, occurring within the physician-designated clinical target volume, and 6 patients were categorized as marginal recurrences. There were no out-of-field geographical misses. Sites of marginal LRRs included the contralateral neck adjacent to the spared parotid gland (3 patients), the dermal/subcutaneous surface (2 patients), and the retropharyngeal/retrostyloid lymph node region (1 patient). Conclusions: Although the incidence of geographical misses was relatively low, the possibility of this phenomenon should be considered in the design of target volumes among patients treated by postoperative IMRT for head and neck cancer.

  14. DOE - Office of Legacy Management -- National Smelting and Refining...

    Office of Legacy Management (LM)

    Also see Documents Related to NATIONAL SMELTING & REFINING CO. OH.20-1 - MED Letter; Zimmerman to Sweeney; Subject: Shipment of Type G-1 Material; October 28, 1943 OH.20-2 - DOE...

  15. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    253.2 2,222.4 W W 206.4 134.3 - 340.7 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

  16. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

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

    150.0 2,026.7 W W 234.5 161.7 - 396.3 See footnotes at end of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information...

  17. Marginal Energy Prices - RECS97 Update | Department of Energy

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

    More Documents & Publications Marginal Energy Price Report - July 1999 Energy Intensity Indicators: Methodology Downloads Response to several FOIA requests - Renewable ...

  18. The Space-Based Telescopes for Actionable Refinement of Ephemeris

    Office of Scientific and Technical Information (OSTI)

    Pathfinder Mission (Journal Article) | SciTech Connect Journal Article: The Space-Based Telescopes for Actionable Refinement of Ephemeris Pathfinder Mission Citation Details In-Document Search Title: The Space-Based Telescopes for Actionable Refinement of Ephemeris Pathfinder Mission Authors: Simms, L ; De Vries, W ; RIot, V ; Olivier, S ; Pertica, A ; Bauman, B ; Phillion, D ; Nikolaev, S Publication Date: 2011-05-19 OSTI Identifier: 1122251 Report Number(s): LLNL-JRNL-485519 DOE Contract

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

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

    Feet) Coalbed Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells New York Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Coalbed

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

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

    Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Shale Gas Wells Oregon Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Shale Gas

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

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

    from Oil Wells (Million Cubic Feet) Missouri Natural Gas Gross Withdrawals from Oil Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 NA NA 2010's NA NA NA 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Oil Wells Missouri Natural Gas Gross Withdrawals

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

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

    from Gas Wells (Million Cubic Feet) Nevada Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 2010's 0 0 0 0 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Gas Wells Nevada Natural Gas Gross Withdrawals and

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

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

    Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Shale Gas Wells Nevada Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Shale

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

    Broader source: Energy.gov [DOE]

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

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

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

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

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

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

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

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    The gross weight of a vehicle (GVW) is the weight of the empty vehicle plus the weight of the maximum payload that the vehicle was designed to carry. In cars and small light trucks, the difference...

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

    SciTech Connect (OSTI)

    Prayitno, T. B.

    2015-04-16

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

  9. 23 V.S.A. Section 1392 Gross Weight Limits on Highways | Open...

    Open Energy Info (EERE)

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

  10. Regnar -- Development of a marginal field

    SciTech Connect (OSTI)

    Thalund, K.M.; Brodersen, F.P.; Roigaard-Petersen, B.

    1994-12-31

    Regnar is a small marginal field located some 13 km from the main Dan F complex and is the first subsea completion in Danish waters, operated by Maersk Olie og Gas AS. A short lifetime has been predicted for the field which therefore has been developed as a low cost project, using a combination of subsea technology and minimum topside facilities. Regnar consists of a subsea x-mas tree producing through a 6 inch pipeline with a 2 1/2 inch chemical piggyback line to Dan F. The x-mas tree and the subsea choke valve are controlled from a buoy moored nearby the well. The buoy is radio linked to Dan F. The Regnar field was brought on stream on September 26, 1993.

  11. MARGINAL EXPENSE OIL WELL WIRELESS SURVEILLANCE MEOWS

    SciTech Connect (OSTI)

    Mason M. Medizade; John R. Ridgely; Donald G. Nelson

    2004-11-01

    A marginal expense oil well wireless surveillance system to monitor system performance and production from rod-pumped wells in real time from wells operated by Vaquero Energy in the Edison Field, Main Area of Kern County in California has been successfully designed and field tested. The surveillance system includes a proprietary flow sensor, a programmable transmitting unit, a base receiver and receiving antenna, and a base station computer equipped with software to interpret the data. First, the system design is presented. Second, field data obtained from three wells is shown. Results of the study show that an effective, cost competitive, real-time wireless surveillance system can be introduced to oil fields across the United States and the world.

  12. The US petroleum refining industry in the 1980's

    SciTech Connect (OSTI)

    Not Available

    1990-10-11

    As part of the EIA program on petroleum, The US Petroleum Refining Industry in the 1980's, presents a historical analysis of the changes that took place in the US petroleum refining industry during the 1980's. It is intended to be of interest to analysts in the petroleum industry, state and federal government officials, Congress, and the general public. The report consists of six chapters and four appendices. Included is a detailed description of the major events and factors that affected the domestic refining industry during this period. Some of the changes that took place in the 1980's are the result of events that started in the 1970's. The impact of these events on US refinery configuration, operations, economics, and company ownership are examined. 23 figs., 11 tabs.

  13. PROP re-refined oil engine test performance

    SciTech Connect (OSTI)

    Linnard, R.E.

    1980-11-01

    Using conventional, commercially-available nonproprietary (to Phillips) additive treatments, engine test programs have successfully demonstrated Phillips Re-refined Oil Process (PROP) oils' compliance with the performance requirements of MIL-L-46152A and API Services SE/CC. This paper reports on the engine testing experience with PROP refined oils as produced in a full-scale 2 MM GPY PROP plant operating with Buyer-collected used oil feedstocks. Comment is also made on the status of the first two PROP plants, one built for the state of North Carolina and the other for Mohawk Oil Company, Ltd., Vancouver B.C., Canada.

  14. ,"Weekly Refiner Net Production"

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

    Refiner Net Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Weekly Refiner Net Production",21,"Weekly","5/20/2016","6/4/2010" ,"Release Date:","5/25/2016" ,"Next Release Date:","6/2/2016" ,"Excel File

  15. Marginal Energy Price Report - July 1999 | Department of Energy

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

    Price Report - July 1999 Marginal Energy Price Report - July 1999 Estimated Consumer Marginal Energy Prices for the Commercial and Residental Sectors for use in the Life-Cycle Cost Analyses for four of the High-Priority Appliance Rulemakings PDF icon marg_eprice_0799.pdf More Documents & Publications Marginal Energy Prices - RECS97 Update Standby Rates for Customer-Sited Resources - Issues, Considerations, and the Elements of Model Tariffs, 2009 Solar Real-Time Pricing: Is Real-Time

  16. Intrusion Margins and Associated Fractures | Open Energy Information

    Open Energy Info (EERE)

    Rim Margins Lithologically Controlled Fractures caused by igneous activity creates permeability, allowing water to circulate deep beneath the surface thus becoming heated in the...

  17. Marginal pricing of transmission services: An analysis of cost recovery

    SciTech Connect (OSTI)

    Perez-Arriaga, I.J.; Rubio, F.J.; Puerta, J.F.; Arceluz, J.; Marin, J.

    1995-02-01

    This paper presents an in-depth analysis of network revenues computed with marginal pricing, and in particular it investigates the reasons why marginal prices fail to recover the total incurred network costs in actual power systems. The basic theoretical results are presented and the major causes of the mismatch between network costs and marginal revenues are identified and illustrated with numerical examples, some tutorial and others of realistic size. The regulatory implications of marginal network pricing in the context of competitive electricity markets are analyzed, and suggestions are provided for the meaningful allocation of the costs of the network among its users.

  18. ITP Petroleum Refining: Technology Roadmap for the Petroleum Industry |

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

    Department of Energy Technology Roadmap for the Petroleum Industry ITP Petroleum Refining: Technology Roadmap for the Petroleum Industry PDF icon petroleumroadmap.pdf More Documents & Publications ITP Aluminum: Energy and Environmental Profile of the U.S. Aluminum Industry ITP Aluminum: Technical Working Group on Inert Anode Technologies 2011 Strategic Plan

  19. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    71.8 W 70.5 78.9 W 76.0 83.6 W 69.2 75.2 See footnotes at end of table. 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District and State 176 Energy Information...

  20. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    W 68.4 70.8 W W 78.6 W 85.7 81.8 W 69.3 73.8 See footnotes at end of table. 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District and State 176 Energy Information...

  1. Source: Energy Information Administration, Form EIA-782A, "Refiners...

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

    2. U.S. Refiner Retail Petroleum Product Prices Figure J F M A M J J A S O N D 0 20 40 60 80 100 120 1995 Cents per Gallon Excluding Taxes Kero-jet Propane No. 1 Distillate No. 4...

  2. Source: Energy Information Administration, Form EIA-782A, "Refiners...

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

    4. U.S. Refiner Wholesale Petroleum Product Prices Figure J F M A M J J A S O N D 0 20 40 60 80 100 120 1997 Cents per Gallon Excluding Taxes Kero-jet Propane No. 1 Distillate No....

  3. Source: Energy Information Administration, Form EIA-782A, "Refiners...

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

    4. U.S. Refiner Wholesale Petroleum Product Prices Figure J F M A M J J A S O N D 0 20 40 60 80 100 120 1995 Cents per Gallon Excluding Taxes Kero-jet Propane No. 1 Distillate No....

  4. Source: Energy Information Administration, Form EIA-782A, "Refiners...

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

    2. U.S. Refiner Retail Petroleum Product Prices Figure J F M A M J J A S O N D 0 20 40 60 80 100 120 1996 Cents per Gallon Excluding Taxes Kero-jet Propane No. 1 Distillate No. 4...

  5. Source: Energy Information Administration, Form EIA-782A, "Refiners...

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

    Prices J F M A M J J A S O N D 0 10 20 30 40 50 60 70 1995 Cents per Gallon Excluding Taxes Retail < or 1% Wholesale < or 1% Retail > 1% Wholesale > 1% 7. U.S. Refiner Residual...

  6. Source: Energy Information Administration, Form EIA-782A, "Refiners...

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

    4. U.S. Refiner Wholesale Petroleum Product Prices Figure J F M A M J J A S O N D 0 20 40 60 80 100 120 1996 Cents per Gallon Excluding Taxes Kero-jet Propane No. 1 Distillate No....

  7. Source: Energy Information Administration, Form EIA-782A, "Refiners...

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

    2. U.S. Refiner Retail Petroleum Product Prices Figure J F M A M J J A S O N D 0 20 40 60 80 100 120 1997 Cents per Gallon Excluding Taxes Kero-jet Propane No. 1 Distillate No. 4...

  8. A risk-informed approach to safety margins analysis

    SciTech Connect (OSTI)

    Curtis Smith; Diego Mandelli

    2013-07-01

    The Risk Informed Safety Margins Characterization (RISMC) Pathway is a systematic approach developed to characterize and quantify safety margins of nuclear power plant structures, systems and components. The model has been tested on the Advanced Test Reactor (ATR) at Idaho National Lab.

  9. Assessment of Biomass Resources from Marginal Lands in APEC Economies

    SciTech Connect (OSTI)

    Milbrandt, A.; Overend, R. P.

    2009-08-01

    The goal of this study is to examine the marginal lands in Asia-Pacific Economic Cooperation (APEC) economies and evaluate their biomass productivity potential. Twelve categories of marginal lands are identified using the Global Agro-Ecological Zones system of the United Nations Food and Agriculture Organization.

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

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1060_rtxsf_2a.xls"

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

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

    Federal Offshore Natural Gas Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","US--Federal Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    State Offshore Natural Gas Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","US--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1060_ralsf_2a.xls"

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

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1060_raksf_2a.xls"

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

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore California Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Gulf of Mexico Natural Gas Gross Withdrawals and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore Gulf of Mexico Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1997" ,"Release Date:","4/29/2016" ,"Next Release

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

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Alabama Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Louisiana Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Natural Gas Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Texas Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  2. REFINING AND END USE STUDY OF COAL LIQUIDS

    SciTech Connect (OSTI)

    Unknown

    2002-01-01

    This document summarizes all of the work conducted as part of the Refining and End Use Study of Coal Liquids. There were several distinct objectives set, as the study developed over time: (1) Demonstration of a Refinery Accepting Coal Liquids; (2) Emissions Screening of Indirect Diesel; (3) Biomass Gasification F-T Modeling; and (4) Updated Gas to Liquids (GTL) Baseline Design/Economic Study.

  3. Parallel Block Structured Adaptive Mesh Refinement on Graphics Processing Units

    SciTech Connect (OSTI)

    Beckingsale, D. A.; Gaudin, W. P.; Hornung, R. D.; Gunney, B. T.; Gamblin, T.; Herdman, J. A.; Jarvis, S. A.

    2014-11-17

    Block-structured adaptive mesh refinement is a technique that can be used when solving partial differential equations to reduce the number of zones necessary to achieve the required accuracy in areas of interest. These areas (shock fronts, material interfaces, etc.) are recursively covered with finer mesh patches that are grouped into a hierarchy of refinement levels. Despite the potential for large savings in computational requirements and memory usage without a corresponding reduction in accuracy, AMR adds overhead in managing the mesh hierarchy, adding complex communication and data movement requirements to a simulation. In this paper, we describe the design and implementation of a native GPU-based AMR library, including: the classes used to manage data on a mesh patch, the routines used for transferring data between GPUs on different nodes, and the data-parallel operators developed to coarsen and refine mesh data. We validate the performance and accuracy of our implementation using three test problems and two architectures: an eight-node cluster, and over four thousand nodes of Oak Ridge National Laboratory’s Titan supercomputer. Our GPU-based AMR hydrodynamics code performs up to 4.87× faster than the CPU-based implementation, and has been scaled to over four thousand GPUs using a combination of MPI and CUDA.

  4. Mesh refinement for uncertainty quantification through model reduction

    SciTech Connect (OSTI)

    Li, Jing Stinis, Panos

    2015-01-01

    We present a novel way of deciding when and where to refine a mesh in probability space in order to facilitate uncertainty quantification in the presence of discontinuities in random space. A discontinuity in random space makes the application of generalized polynomial chaos expansion techniques prohibitively expensive. The reason is that for discontinuous problems, the expansion converges very slowly. An alternative to using higher terms in the expansion is to divide the random space in smaller elements where a lower degree polynomial is adequate to describe the randomness. In general, the partition of the random space is a dynamic process since some areas of the random space, particularly around the discontinuity, need more refinement than others as time evolves. In the current work we propose a way to decide when and where to refine the random space mesh based on the use of a reduced model. The idea is that a good reduced model can monitor accurately, within a random space element, the cascade of activity to higher degree terms in the chaos expansion. In turn, this facilitates the efficient allocation of computational sources to the areas of random space where they are more needed. For the Kraichnan–Orszag system, the prototypical system to study discontinuities in random space, we present theoretical results which show why the proposed method is sound and numerical results which corroborate the theory.

  5. Marginal erg facies: A trial approach toward a descriptive classification

    SciTech Connect (OSTI)

    Caputo, M.V. ); Langford, R.P. )

    1991-03-01

    During the late 1970s and early 1980s, sedimentologists began recognizing the margins of eolian sand seas as separate, components which differed from interior sand seas in geometry, extent, and facies. Stratigraphers have now observed these differences in eolian rocks. Erg margins may be grouped in five ways: (1) by associations with extradunal environments-coastal plain, lacustrine, periglacial, marine (tidal flat, coastal sabkha, beach, and lagoon), and arid alluvial (alluvial fan, fluvial, playa, inland sabkha); (2) by allocyclic controls-eustasy, plate tectonism, and climate; (3) by autocyclic controls-local tectonism, topography, vegetation, hydrology, structure, sediment source and supply, and wind regime; (4) by geographic position-upwind, downwind, and along-wind margins; and (5) by sedimentary facies-texture and architecture. In contrast with erg interiors, erg margins are characterized by smaller, less complex dune-forms related to thinner sand accumulation; elementary dune architecture; more vegetation and bioturbation; high occurrence of sand sheet, zibar, and serir facies; expansive, low-relief interdunes with widely distributed dunes; and a greater proportion of interbedded extradunal deposits. Some of the published studies on ancient eolian systems have identified erg margin facies that have been influences by marine and arid alluvial processes. Few reports have described lacustrine-eolian and periglacial-eolian interactions. This study is an attempt to organize known features of modern and ancient erg margins into a scheme based on erg margin controls.

  6. Radiotherapy margin design with particular consideration of high curvature CTVs

    SciTech Connect (OSTI)

    Herschtal, Alan; Kron, Tomas; Fox, Chris [Peter MacCallum Cancer Centre, St. Andrews Place, E. Melbourne, Victoria 3002 (Australia)

    2009-03-15

    In applying 3D conformal radiation therapy to a tumor clinical target volume (CTV), a margin is added around the CTV to account for any sources of error in the application of treatment which may result in misalignment between the CTV and the dose distribution actually delivered. The volume enclosed within the CTV plus the margin is known as the PTV, or planning target volume. The larger the errors are anticipated to be, the wider the margin will need to be to accommodate those errors. Based on the approach of van Herk et al. [''The probability of correct target dosage: Dose-population histograms for deriving treatment margins in radiotherapy,'' Int. J. Radiat. Oncol. Biol., Phys. 47(4), 1121-1135 (2000)] this paper develops the mathematical theory behind the calculation of the margin width required to ensure that the entire CTV receives sufficiently high dose with sufficiently high probability. The margin recipe developed not only considers the magnitude of the errors but also includes a term to adjust for curved CTV surfaces. In doing so, the accuracy of the margin recipe is enhanced yet remains mathematically concise enough to be readily implemented in the clinical setting. The results are particularly relevant for clinical situations in which the uncertainties in treatment are large relative to the size of the CTV.

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

    SciTech Connect (OSTI)

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

    1993-10-01

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

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

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

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

  9. RFA-14-0001 - In the Matter of Commonwealth Oil Refining Company...

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

    RFA-14-0001 - In the Matter of Commonwealth Oil Refining Company, Inc.Commonwealth of Puerto Rico RFA-14-0001 - In the Matter of Commonwealth Oil Refining Company, Inc....

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

    Energy Savers [EERE]

    69 2.4 PETROLEUM REFINING SECTOR (NAICS 324110) 2.4.1. Overview of the Petroleum Refining Manufacturing Sector Petroleum refining is a complex industry that generates a diverse slate of fuel products and petrochemicals, from gasoline to asphalt. Refining requires a range of processing steps, including distillation, cracking, reforming, and treating. Most of these processes are highly reliant on process heating and steam energy. Petroleum refineries are an essential part of the U.S. economy.

  11. ITP Steel: Steel Industry Marginal Opportunity Study September 2005

    Broader source: Energy.gov [DOE]

    The objective of this study is to generate a marginal opportunity curve for the ITP steel subprogram showing the location of the current portfolio compared against all opportunities for steel manufacturing.

  12. Electricity Prices in a Competitive Environment: Marginal Cost Pricing

    Reports and Publications (EIA)

    1997-01-01

    Presents the results of an analysis that focuses on two questions: (1) How are prices for competitive generation services likely to differ from regulated prices if competitive prices are based on marginal costs rather than regulated cost-of-service pricing? (2) What impacts will the competitive pricing of generation services (based on marginal costs) have on electricity consumption patterns, production costs, and the financial integrity of electricity suppliers?

  13. Cogeneration handbook for the petroleum refining industry. [Contains glossary

    SciTech Connect (OSTI)

    Fassbender, L.L.; Garrett-Price, B.A.; Moore, N.L.; Fassbender, A.G.; Eakin, D.E.; Gorges, H.A.

    1984-03-01

    The decision of whether to cogenerate involves several considerations, including technical, economic, environmental, legal, and regulatory issues. Each of these issues is addressed separately in this handbook. In addition, a chapter is included on preparing a three-phase work statement, which is needed to guide the design of a cogeneration system. In addition, an annotated bibliography and a glossary of terminology are provided. Appendix A provides an energy-use profile of the petroleum refining industry. Appendices B through O provide specific information that will be called out in subsequent chapters.

  14. Changing Trends in the Refining Industry (released in AEO2006)

    Reports and Publications (EIA)

    2006-01-01

    There have been some major changes in the U.S. refining industry recently, prompted in part by a significant decline in the quality of imported crude oil and by increasing restrictions on the quality of finished products. As a result, high-quality crudes, such as the West Texas Intermediate (WTI) crude that serves as a benchmark for oil futures on the New York Mercantile Exchange (NYMEX), have been trading at record premiums to the OPEC (Organization of the Petroleum Exporting Countries) Basket price.

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

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

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

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

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

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

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

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

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

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

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

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

  19. ASYMPTOTICALLY FREE GAUGE THEORIES - I* David J. Gross+ National Accelerator Laboratory

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

    national accelerator laboratory NAL-PUB-73/49-THY July, 1973 ASYMPTOTICALLY FREE GAUGE THEORIES - I* David J. Gross+ National Accelerator Laboratory and Joseph Henry Laboratories Princeton University Princeton, New Jersey 08540 and Frank Wilczek Joseph Henry Laboratories Princeton University Princeton, New Jersey 08540 * Research supported in part by the United States Air Force Office of Scientific Research under Contract F-44620-71-6-0180 t Alfred P. Sloan Foundation Research Fellow 2% Oaerated

  20. ENZO: AN ADAPTIVE MESH REFINEMENT CODE FOR ASTROPHYSICS

    SciTech Connect (OSTI)

    Bryan, Greg L.; Turk, Matthew J.; Norman, Michael L.; Bordner, James; Xu, Hao; Kritsuk, Alexei G.; O'Shea, Brian W.; Smith, Britton; Abel, Tom; Wang, Peng; Skillman, Samuel W.; Wise, John H.; Reynolds, Daniel R.; Collins, David C.; Harkness, Robert P.; Kim, Ji-hoon; Kuhlen, Michael; Goldbaum, Nathan; Hummels, Cameron; Collaboration: Enzo Collaboration; and others

    2014-04-01

    This paper describes the open-source code Enzo, which uses block-structured adaptive mesh refinement to provide high spatial and temporal resolution for modeling astrophysical fluid flows. The code is Cartesian, can be run in one, two, and three dimensions, and supports a wide variety of physics including hydrodynamics, ideal and non-ideal magnetohydrodynamics, N-body dynamics (and, more broadly, self-gravity of fluids and particles), primordial gas chemistry, optically thin radiative cooling of primordial and metal-enriched plasmas (as well as some optically-thick cooling models), radiation transport, cosmological expansion, and models for star formation and feedback in a cosmological context. In addition to explaining the algorithms implemented, we present solutions for a wide range of test problems, demonstrate the code's parallel performance, and discuss the Enzo collaboration's code development methodology.

  1. Fuel and oxygen addition for metal smelting or refining process

    DOE Patents [OSTI]

    Schlichting, Mark R. (Chesterton, IN)

    1994-01-01

    A furnace 10 for smelting iron ore and/or refining molten iron 20 is equipped with an overhead pneumatic lance 40, through which a center stream of particulate coal 53 is ejected at high velocity into a slag layer 30. An annular stream of nitrogen or argon 51 enshrouds the coal stream. Oxygen 52 is simultaneously ejected in an annular stream encircling the inert gas stream 51. The interposition of the inert gas stream between the coal and oxygen streams prevents the volatile matter in the coal from combusting before it reaches the slag layer. Heat of combustion is thus more efficiently delivered to the slag, where it is needed to sustain the desired reactions occurring there. A second stream of lower velocity oxygen can be delivered through an outermost annulus 84 to react with carbon monoxide gas rising from slag layer 30, thereby adding still more heat to the furnace.

  2. Fuel and oxygen addition for metal smelting or refining process

    DOE Patents [OSTI]

    Schlichting, M.R.

    1994-11-22

    A furnace for smelting iron ore and/or refining molten iron is equipped with an overhead pneumatic lance, through which a center stream of particulate coal is ejected at high velocity into a slag layer. An annular stream of nitrogen or argon enshrouds the coal stream. Oxygen is simultaneously ejected in an annular stream encircling the inert gas stream. The interposition of the inert gas stream between the coal and oxygen streams prevents the volatile matter in the coal from combusting before it reaches the slag layer. Heat of combustion is thus more efficiently delivered to the slag, where it is needed to sustain the desired reactions occurring there. A second stream of lower velocity oxygen can be delivered through an outermost annulus to react with carbon monoxide gas rising from slag layer, thereby adding still more heat to the furnace. 7 figs.

  3. A comparative assessment of resource efficiency in petroleum refining

    SciTech Connect (OSTI)

    Han, Jeongwoo; Forman, Grant S.; Elgowainy, Amgad; Cai, Hao; Wang, Michael; DiVita, Vincent B.

    2015-03-25

    Because of increasing environmental and energy security concerns, a detailed understanding of energy efficiency and greenhouse gas (GHG) emissions in the petroleum refining industry is critical for fair and equitable energy and environmental policies. To date, this has proved challenging due in part to the complex nature and variability within refineries. In an effort to simplify energy and emissions refinery analysis, we delineated LP modeling results from 60 large refineries from the US and EU into broad categories based on crude density (API gravity) and heavy product (HP) yields. Product-specific efficiencies and process fuel shares derived from this study were incorporated in Argonne National Laboratory’s GREET life-cycle model, along with regional upstream GHG intensities of crude, natural gas and electricity specific to the US and EU regions. The modeling results suggest that refineries that process relatively heavier crude inputs and have lower yields of HPs generally have lower energy efficiencies and higher GHG emissions than refineries that run lighter crudes with lower yields of HPs. The former types of refineries tend to utilize energy-intensive units which are significant consumers of utilities (heat and electricity) and hydrogen. Among the three groups of refineries studied, the major difference in the energy intensities is due to the amount of purchased natural gas for utilities and hydrogen, while the sum of refinery feed inputs are generally constant. These results highlight the GHG emissions cost a refiner pays to process deep into the barrel to produce more of the desirable fuels with low carbon to hydrogen ratio.

  4. A comparative assessment of resource efficiency in petroleum refining

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

    Han, Jeongwoo; Forman, Grant S.; Elgowainy, Amgad; Cai, Hao; Wang, Michael; DiVita, Vincent B.

    2015-03-25

    Because of increasing environmental and energy security concerns, a detailed understanding of energy efficiency and greenhouse gas (GHG) emissions in the petroleum refining industry is critical for fair and equitable energy and environmental policies. To date, this has proved challenging due in part to the complex nature and variability within refineries. In an effort to simplify energy and emissions refinery analysis, we delineated LP modeling results from 60 large refineries from the US and EU into broad categories based on crude density (API gravity) and heavy product (HP) yields. Product-specific efficiencies and process fuel shares derived from this study weremore » incorporated in Argonne National Laboratory’s GREET life-cycle model, along with regional upstream GHG intensities of crude, natural gas and electricity specific to the US and EU regions. The modeling results suggest that refineries that process relatively heavier crude inputs and have lower yields of HPs generally have lower energy efficiencies and higher GHG emissions than refineries that run lighter crudes with lower yields of HPs. The former types of refineries tend to utilize energy-intensive units which are significant consumers of utilities (heat and electricity) and hydrogen. Among the three groups of refineries studied, the major difference in the energy intensities is due to the amount of purchased natural gas for utilities and hydrogen, while the sum of refinery feed inputs are generally constant. These results highlight the GHG emissions cost a refiner pays to process deep into the barrel to produce more of the desirable fuels with low carbon to hydrogen ratio.« less

  5. A Comparative Assessment of Resource Efficiency in Petroleum Refining

    SciTech Connect (OSTI)

    Han, Jeongwoo; Forman, G; Elgowainy, Amgad; Cai, Hao; Wang, Michael; Divita, V

    2015-10-01

    Because of increasing environmental and energy security concerns, a detailed understanding of energy efficiency and greenhouse gas (GHG) emissions in the petroleum refining industry is critical for fair and equitable energy and environmental policies. To date, this has proved challenging due in part to the complex nature and variability within refineries. In an effort to simplify energy and emissions refinery analysis, we delineated LP modeling results from 60 large refineries from the US and EU into broad categories based on crude density (API gravity) and heavy product (HP) yields. Product-specific efficiencies and process fuel shares derived from this study were incorporated in Argonne National Laboratory's GREET life-cycle model, along with regional upstream GHG intensities of crude, natural gas and electricity specific to the US and EU regions. The modeling results suggest that refineries that process relatively heavier crude inputs and have lower yields of HPs generally have lower energy efficiencies and higher GHG emissions than refineries that run lighter crudes with lower yields of HPs. The former types of refineries tend to utilize energy-intensive units which are significant consumers of utilities (heat and electricity) and hydrogen. Among the three groups of refineries studied, the major difference in the energy intensities is due to the amount of purchased natural gas for utilities and hydrogen, while the sum of refinery feed inputs are generally constant. These results highlight the GHG emissions cost a refiner pays to process deep into the barrel to produce more of the desirable fuels with low carbon to hydrogen ratio. (c) 2015 Argonne National Laboratory. Published by Elsevier Ltd.

  6. Evaluation of tropical channel refinement using MPAS-A aquaplanet simulations: TROPICAL CHANNEL REFINEMENT IN MPAS-A

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

    Martini, Matus N.; Gustafson, William I.; O'Brien, Travis A.; Ma, Po-Lun

    2015-09-01

    Climate models with variable-resolution grids offer a computationally less expensive way to provide more detailed information at regional scales and increased accuracy for processes that cannot be resolved by a coarser grid. This study uses the Model for Prediction Across Scales–Atmosphere (MPAS22A), consisting of a nonhydrostatic dynamical core and a subset of Advanced Research Weather Research and Forecasting (ARW-WRF) model atmospheric physics that have been modified to include the Community Atmosphere Model version 5 (CAM5) cloud fraction parameterization, to investigate the potential benefits of using increased resolution in an tropical channel. The simulations are performed with an idealized aquaplanet configurationmore » using two quasi-uniform grids, with 30 km and 240 km grid spacing, and two variable-resolution grids spanning the same grid spacing range; one with a narrow (20°S–20°N) and one with a wide (30°S–30°N) tropical channel refinement. Results show that increasing resolution in the tropics impacts both the tropical and extratropical circulation. Compared to the quasi-uniform coarse grid, the narrow-channel simulation exhibits stronger updrafts in the Ferrel cell as well as in the middle of the upward branch of the Hadley cell. The wider tropical channel has a closer correspondence to the 30 km quasi-uniform simulation. However, the total atmospheric poleward energy transports are similar in all simulations. The largest differences are in the low-level cloudiness. The refined channel simulations show improved tropical and extratropical precipitation relative to the global 240 km simulation when compared to the global 30 km simulation. All simulations have a single ITCZ. The relatively small differences in mean global and tropical precipitation rates among the simulations are a promising result, and the evidence points to the tropical channel being an effective method for avoiding the extraneous numerical artifacts seen in earlier studies that only refined portion of the tropics.« less

  7. Influence of Alloy and Solidification Parameters on Grain Refinement in Aluminum Weld Metal due to Inoculation

    SciTech Connect (OSTI)

    Schempp, Philipp [BAM, Germany; Tang, Z. [BIAS, Germany; Cross, Carl E. [Los Alamos National Laboratory; Seefeld, T. [BIAS, Germany; Pittner, A. [BAM, Germany; Rethmeier, M. [BAM, Germany

    2012-06-28

    The goals are: (1) Establish how much Ti/B grain refiner is need to completely refine aluminum weld metal for different alloys and different welding conditions; (2) Characterize how alloy composition and solidification parameters affect weld metal grain refinement; and (3) Apply relevant theory to understand observed behavior. Conclusions are: (1) additions of Ti/B grain refiner to weld metal in Alloys 1050, 5083, and 6082 resulted in significant grain refinement; (2) grain refinement was more effective in GTAW than LBW, resulting in finer grains at lower Ti content - reason is limited time available for equiaxed grain growth in LBW (inability to occlude columnar grain growth); (3) welding travel speed did not markedly affect grain size within GTAW and LBW clusters; and (4) application of Hunt CET analysis showed experimental G to be on the order of the critical G{sub CET}; G{sub CET} was consistently higher for GTAW than for LBW.

  8. Impact of Environmental Compliance Costs on U.S. Refining Profitability 1995-2001

    Reports and Publications (EIA)

    2003-01-01

    This report assesses the effects of pollution abatement requirements on the financial performance of U.S. petroleum refining and marketing operations during the 1995 to 2001 period. This study is a follow-up to the October 1997 publication entitled The Impact of Environmental Compliance Costs on U.S. Refining Profitability, that focused on the financial impacts of U.S. refining pollution abatement investment requirements in the 1988 to1995 period.

  9. Sustainable bioenergy production from marginal lands in the US Midwest

    SciTech Connect (OSTI)

    Gelfand, Ilya; Sahajpal, Ritvik; Zhang, Xuesong; Izaurralde, Roberto C.; Gross, Katherine L.; Robertson, G. P.

    2013-01-24

    Long-term measurements of global warming impact coupled with spatially explicit modeling suggests that both climate benefits and the production potential of cellulosic crops grown on marginal lands of the US North Central region are substantial but will be insufficient to meet long-term biofuel needs.

  10. Table A2. Refiner/Reseller Prices of Aviation Fuels, Propane...

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

    Marketing Annual 1999 421 Table A2. RefinerReseller Prices of Aviation Fuels, Propane, and Kerosene, by PAD District, 1983-Present (Cents per Gallon Excluding Taxes) -...

  11. Table A2. Refiner/Reseller Prices of Aviation Fuels, Propane...

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

    Marketing Annual 1995 467 Table A2. RefinerReseller Prices of Aviation Fuels, Propane, and Kerosene, by PAD District, 1983-Present (Cents per Gallon Excluding Taxes) -...

  12. Table 12. U.S. Refiner Reformulated Motor Gasoline Prices by...

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

    retail outlets, e.g., sales to agricultural customers, commercial sales, and industrial sales. Source: Energy Information Administration Form EIA-782A, "Refiners'Gas...

  13. Table A1. Refiner/Reseller Motor Gasoline Prices by Grade, PAD...

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

    Information Administration Petroleum Marketing Annual 1995 Table A1. RefinerReseller Motor Gasoline Prices by Grade, PAD District and State, 1984-Present (Cents per Gallon...

  14. Table 6. U.S. Refiner Motor Gasoline Prices by Grade and Sales...

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

    Information Administration Petroleum Marketing Annual 1995 Table 6. U.S. Refiner Motor Gasoline Prices by Grade and Sales Type (Cents per Gallon Excluding Taxes) - Continued...

  15. Table A1. Refiner/Reseller Motor Gasoline Prices by Grade, PAD...

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

    AdministrationPetroleum Marketing Annual 1999 401 Table A1. RefinerReseller Motor Gasoline Prices by Grade, PAD District and State, 1984-Present (Cents per Gallon...

  16. Table 7. U.S. Refiner Motor Gasoline Volumes by Grade and Sales...

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

    Information Administration Petroleum Marketing Annual 1995 Table 7. U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type (Million Gallons per Day) - Continued Year...

  17. Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil...

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

    Petroleum Marketing Annual 1999 295 Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil Volumes by PAD District and State (Thousand Gallons per Day) - Continued...

  18. ,"Kerosene-Type Jet Fuel Sales to End Users Refiner Sales Volumes...

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

    Fuel Sales to End Users Refiner Sales Volumes",60,"Monthly","22016","1151983" ,"Release Date:","522016" ,"Next Release Date:","612016" ,"Excel File Name:","petconsrefot...

  19. ,"U.S. Sales to End Users, Total Refiner Motor Gasoline Sales...

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

    Refiner Gasoline Volumes",1,"Monthly","22016","1151983" ,"Data 2","by Grade",3,"Monthly","22016","1151983" ,"Data 3","by Formulation",3,"Monthly","22016","1151994" ...

  20. ,"U.S. Sales for Resale, Total Refiner Motor Gasoline Sales Volumes...

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

    Refiner Gasoline Volumes",1,"Monthly","22016","1151983" ,"Data 2","by Grade",3,"Monthly","22016","1151983" ,"Data 3","by Formulation",3,"Monthly","22016","1151994" ...

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1989" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Gas Wells (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals from Gas Wells (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Oil Wells (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals from Oil Wells (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Gas Wells (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Gross Withdrawals from Gas Wells (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Oil Wells (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Gross Withdrawals from Oil Wells (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1991" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Total Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1090_stx_2a.xls"

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Gross Withdrawals Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1090_nus_2a.xls" ,"Available

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Total Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1090_sal_2a.xls"

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

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

    Total Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1090_sak_2a.xls"

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

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

    Total Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1090_sca_2a.xls"

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

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1989" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1989" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1989" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1991" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1989" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    from Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Total Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1090_sla_2a.xls"

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

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1989" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  6. Advances in Patch-Based Adaptive Mesh Refinement Scalability

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

    Gunney, Brian T.N.; Anderson, Robert W.

    2015-12-18

    Patch-based structured adaptive mesh refinement (SAMR) is widely used for high-resolution simu- lations. Combined with modern supercomputers, it could provide simulations of unprecedented size and resolution. A persistent challenge for this com- bination has been managing dynamically adaptive meshes on more and more MPI tasks. The dis- tributed mesh management scheme in SAMRAI has made some progress SAMR scalability, but early al- gorithms still had trouble scaling past the regime of 105 MPI tasks. This work provides two critical SAMR regridding algorithms, which are integrated into that scheme to ensure efficiency of the whole. The clustering algorithm is an extensionmore » of the tile- clustering approach, making it more flexible and efficient in both clustering and parallelism. The partitioner is a new algorithm designed to prevent the network congestion experienced by its prede- cessor. We evaluated performance using weak- and strong-scaling benchmarks designed to be difficult for dynamic adaptivity. Results show good scaling on up to 1.5M cores and 2M MPI tasks. Detailed timing diagnostics suggest scaling would continue well past that.« less

  7. Advances in Patch-Based Adaptive Mesh Refinement Scalability

    SciTech Connect (OSTI)

    Gunney, Brian T.N.; Anderson, Robert W.

    2015-12-18

    Patch-based structured adaptive mesh refinement (SAMR) is widely used for high-resolution simu- lations. Combined with modern supercomputers, it could provide simulations of unprecedented size and resolution. A persistent challenge for this com- bination has been managing dynamically adaptive meshes on more and more MPI tasks. The dis- tributed mesh management scheme in SAMRAI has made some progress SAMR scalability, but early al- gorithms still had trouble scaling past the regime of 105 MPI tasks. This work provides two critical SAMR regridding algorithms, which are integrated into that scheme to ensure efficiency of the whole. The clustering algorithm is an extension of the tile- clustering approach, making it more flexible and efficient in both clustering and parallelism. The partitioner is a new algorithm designed to prevent the network congestion experienced by its prede- cessor. We evaluated performance using weak- and strong-scaling benchmarks designed to be difficult for dynamic adaptivity. Results show good scaling on up to 1.5M cores and 2M MPI tasks. Detailed timing diagnostics suggest scaling would continue well past that.

  8. Aspects of Western Refining, Inc.'s Proposed Acquisition of Giant Industries, Inc.

    Reports and Publications (EIA)

    2006-01-01

    Presentation of company-level, non-proprietary data and relevant aggregate data for U.S. refinery capacity and gasoline marketing of Western Refining and Giant Industries to inform discussions of Western Refining Inc.'s proposed acquisition of Giant Industries Inc. for a total of $1.5 billion, which was announced August 28, 2006.

  9. Structural framework, stratigraphy, and evolution of Brazilian marginal basins

    SciTech Connect (OSTI)

    Ojeda, H.A.O.

    1982-06-01

    The structural framework of the Brazilian continental margin is basically composed of eight structural types: antithetic tilted step-fault blocks, synthetic untilted step-fault blocks, structural inversion axes, hinges with compensation grabens, homoclinal structures, growth faults with rollovers, diapirs, and igneous structures. The antithetic tilted and synthetic untilted step-fault blocks are considered as synchronous, complementary structural systems, separated by an inversion axis. Two evaporitic cycles (Paripueira and Ibura) were differentiated in the Sergipe-Alagoas type basin and tentatively correlated to the evaporitic section of other Brazilian marginal basis. Four phases are considered in the evolution of the Brazilian marginal basins: pre-rift, rift, transitional, and drift. During the pre-rift phase (Late Jurassic-Early Cretaceous), continental sediments were deposited in peripheral intracratonic basins. In the rift phase (Early Cretaceous), the breakup of the continental crust of the Gondwana continent gave rise to a central graben and rift valleys where lacustrine sediments were deposited. The transitional phase (Aptian) developed under relative tectonic stability, when evaporitic and clastic lacustrine sequences were being deposited. In the drift phase (Albian to Holocene), a regionl homoclinal structure developed, consisting of two distinct sedimentary sequences, a lower clastic-carbonate and an upper clastic. From the Albian to the Holocene Epoch, structures associated to plastic displacement of salt or shale developed in many Brazilian marginal basins. Two phases of major igneous activity occurred: one in the Early Cretaceous associated with the rift phase of the Gondwana continent, and the other in the Tertiary during the migration phase of the South American and African plates.

  10. RAM: a Relativistic Adaptive Mesh Refinement Hydrodynamics Code

    SciTech Connect (OSTI)

    Zhang, Wei-Qun; MacFadyen, Andrew I.; /Princeton, Inst. Advanced Study

    2005-06-06

    The authors have developed a new computer code, RAM, to solve the conservative equations of special relativistic hydrodynamics (SRHD) using adaptive mesh refinement (AMR) on parallel computers. They have implemented a characteristic-wise, finite difference, weighted essentially non-oscillatory (WENO) scheme using the full characteristic decomposition of the SRHD equations to achieve fifth-order accuracy in space. For time integration they use the method of lines with a third-order total variation diminishing (TVD) Runge-Kutta scheme. They have also implemented fourth and fifth order Runge-Kutta time integration schemes for comparison. The implementation of AMR and parallelization is based on the FLASH code. RAM is modular and includes the capability to easily swap hydrodynamics solvers, reconstruction methods and physics modules. In addition to WENO they have implemented a finite volume module with the piecewise parabolic method (PPM) for reconstruction and the modified Marquina approximate Riemann solver to work with TVD Runge-Kutta time integration. They examine the difficulty of accurately simulating shear flows in numerical relativistic hydrodynamics codes. They show that under-resolved simulations of simple test problems with transverse velocity components produce incorrect results and demonstrate the ability of RAM to correctly solve these problems. RAM has been tested in one, two and three dimensions and in Cartesian, cylindrical and spherical coordinates. they have demonstrated fifth-order accuracy for WENO in one and two dimensions and performed detailed comparison with other schemes for which they show significantly lower convergence rates. Extensive testing is presented demonstrating the ability of RAM to address challenging open questions in relativistic astrophysics.

  11. Hydroprocessing of solvent-refined coal: catalyst-screening results

    SciTech Connect (OSTI)

    Stiegel, G.J.; Tischer, R.E.; Polinski, L.M.

    1982-03-01

    This report presents the results of screening four catalysts for hydroprocessing a 50 wt% mixture of SRC-I in a prehydrogenated creosote oil using a continuous flow unit. All catalysts employed were nickel-molybdates with varying properties. Reaction conditions were 2000 psi, 8 SCFH of hydrogen, volume hourly space velocity of 0.6 to 1.0 cc of SRC-I/hr/cc of catalyst, and 48 hours at 750/sup 0/F followed by 72 hours at 780/sup 0/F. The results indicate that the Shell 324 catalyst is best for hydrogenation of the feedstock but only marginally better than CB 81-44 for denitrogenation. The CB 81-44 catalyst may be slightly better than Shell 324 for the conversion of the +850/sup 0/F fraction of the feedstock. Desulfurization was uniformly high for all catalysts. Catalysts with a bimodal pore size distribution (i.e., SMR7-6137(1)) appear to be better for denitrogenation than unimodal catalysts (i.e., SMR7-6137(4)) containing the same metals loading. Unimodal catalysts (i.e., Shell 324) with higher metals loadings are comparable to bimodal catalysts (i.e., CB 81-44) containing less metals. The results indicate that pore size distribution and metals loading are important parameters for high activity. Catalysts with a unimodal pore volume distribution are capable of being restored to their original state, while bimodal ones experience a loss in surface area and pore volume and an increase in pellet density. This is attributed to the more efficient use of the interior surface area of the catalyst, which results in higher accumulation of coke and metals. Since coke can be removed via controlled oxidation, the irreversible loss is due to the higher concentrations of metals in the catalyst.

  12. Influence of Aluminum Content on Grain Refinement and Strength of AZ31 Magnesium GTA Weld Metal

    SciTech Connect (OSTI)

    Babu, N. Kishore; Cross, Carl E.

    2012-06-28

    The goal is to characterize the effect of Al content on AZ31 weld metal, the grain size and strength, and examine role of Al on grain refinement. The approach is to systematically vary the aluminum content of AZ31 weld metal, Measure average grain size in weld metal, and Measure cross-weld tensile properties and hardness. Conclusions are that: (1) increased Al content in AZ31 weld metal results in grain refinement Reason: higher undercooling during solidification; (2) weld metal grain refinement resulted in increased strength & hardness Reason: grain boundary strengthening; and (3) weld metal strength can be raised to wrought base metal levels.

  13. Recovery Act - Refinement of Cross Flow Turbine Airfoils

    SciTech Connect (OSTI)

    McEntee, Jarlath

    2013-08-30

    Ocean Renewable Power Company, LLC (ORPC) is a global leader in hydrokinetic technology and project development. ORPC develops hydrokinetic power systems and eco-conscious projects that harness the power of oceans and rivers to create clean, predictable renewable energy. ORPC’s technology consists of a family of modular hydrokinetic power systems: the TidGen® Power System, for use at shallow to medium-depth tidal sites; the RivGen™ Power System, for use at river and estuary sites; and the OCGen® Power System, presently under development, for use at deep tidal and offshore ocean current sites. These power systems convert kinetic energy in moving water into clean, renewable, grid-compatible electric power. The core technology component for all ORPC power systems is its patented turbine generator unit (TGU). The TGU uses proprietary advanced design cross flow (ADCF) turbines to drive an underwater permanent magnet generator mounted at the TGU’s center. It is a gearless, direct-drive system that has the potential for high reliability, requires no lubricants and releases no toxins that could contaminate the surrounding water. The hydrokinetic industry shows tremendous promise as a means of helping reduce the U.S.’s use of fossil fuels and dependence on foreign oil. To exploit this market opportunity, cross-flow hydrokinetic devices need to advance beyond the pre-commercial state and more systematic data about the structure and function of cross-flow hydrokinetic devices is required. This DOE STTR project, “Recovery Act - Refinement of Cross Flow Turbine Airfoils,” refined the cross-flow turbine design process to improve efficiency and performance and developed turbine manufacturing processes appropriate for volume production. The project proposed (1) to overcome the lack of data by extensively studying the properties of cross flow turbines, a particularly competitive design approach for extracting hydrokinetic energy and (2) to help ORPC mature its pre-commercial hydrokinetic technology into a commercially viable product over a three-year period by means of a design-for-manufacture process to be applied to the turbines which would result in a detail turbine design suitable for volume manufacture. In Phase I of the Project, ORPC systematically investigated performance of cross flow turbines by varying design parameters including solidity, foil profile, number of foils and foil toe angle using scale models of ORPC’s turbine design in a tow tank at the University of Maine (UMaine). Data collected provided information on interactions between design variables and helped ORPC improve turbine efficiency from 21% to greater than 35%. Analytical models were developed to better understand the physical phenomena at play in cross-flow turbines. In Phase II of the Project, ORPC expanded on data collected in Phase I to continue improving turbine efficiency, with a goal to optimally approach the Betz limit of 59.3%. Further tow tank testing and development of the analytical models and techniques was completed at UMaine and led to a deeper understanding of the flow phenomena involved. In addition, ORPC evaluated various designs, materials and manufacturing methods for full-scale turbine foils, and identified those most conducive to volume manufacture. Selected components of the turbine were structurally tested in a laboratory environment at UMaine. Performance and structural testing of the full scale turbine design was conducted as part of the field testing. The work funded by this project enabled the development of design tools for the rapid and efficient development of high performance cross-flow hydrokinetic turbine foils. The analytical tools are accurate and properly capture the underlying physical flow phenomena present in hydrokinetic cross-flow turbines. The ability to efficiently examine the design space provides substantial economic benefit to ORPC in that it allows for rapid design iteration at a low computational cost. The design-for-manufacture work enabled the delivery of a turbine design suitable for manufacture in intermediate to large quantity, lowering the unit cost of turbines and the levelized cost of electricity from ORPC hydrokinetic turbine. ORPC fielded the turbine design in a full scale application – the Cobscook Bay Tidal Energy Project which began operation off the coast of Eastport, Maine in September 2012. This is the first commercial, grid-connected tidal energy project in North America and the only ocean energy project not involving a dam which delivers power to a utility grid anywhere in the Americas. ORPC received a Federal Energy Regulatory Commission pilot project license to install and operate this project in February 2012. Construction of the TidGen® Power System began in March 2012, and the system was grid-connected on September 13, 2012. A 20-year commercial power purchase agreement to sell the power generated by the project was completed with Bangor Hydro Electric Company and is the first and only power purchase agreement for tidal energy. This is the first project in the U.S. to receive Renewable Energy Certificates for tidal energy production. The STTR project is a benefit to the public through its creation of jobs. ORPC’s recent deployment of the TidGen™ Power System is part of their larger project, the Maine Tidal Energy Project. According to ORPC’s report to the Maine Public Utilities Commission and the 20-year power purchase agreement, the Maine Tidal Energy Project will create and/or retain at least 80 direct full-time equivalent jobs in Maine during the development, construction and installation phase (2011 through 2016). In addition, the Maine Tidal Energy Project will create and/or retain at least 12 direct full-time equivalent jobs in Maine during the operating and maintenance phase (2016 through 2020). The STTR project has facilitated new and expanded services in manufacturing, fabrication and assembly, including major business growth for the composite technologies sector; creation of deepwater deployment, maintenance and retrieval services; and the expansion and formation of technical support services such as site assessment and design services, geotechnical services, underwater transmission services, and environmental monitoring services. The Maine Tidal Energy Project’s impact on workforce will enable other ocean energy projects – be they offshore wind, wave or additional tidal opportunities – to succeed in Maine. ORPC received a 2013 Tibbetts Award by the U.S. Small Business Administration.

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

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

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

  15. Impact of Environmental Compliance Costs on U.S. Refining Profitability

    Reports and Publications (EIA)

    1997-01-01

    Assesses the effects of pollution abatement requirements on the financial performance of U.S. petroleum refining and marketing operations. The analysis draws heavily on financial and operating data from the Energy Information Administration's Financial Reporting System (FRS).

  16. FIA-15-0002- In the Matter of Alon Refining Krotz Springs, Inc.

    Broader source: Energy.gov [DOE]

    This Decision concerns an Appeal that Alon Refining Krotz Springs, Inc. (Alon) filed in response to a determination that was issued to it by the Department of Energy’s (DOE) Office of Information...

  17. Energy and Environmental Profile of the U.S. Petroleum Refining Industry

    SciTech Connect (OSTI)

    Pellegrino, Joan; Brueske, Sabine; Carole, Tracy; Andres, Howard

    2007-11-01

    This 2007 report provides an overview of the U.S. petroleum refining industry, including new data on market trends and energy and material consumption, as well as information on environmental performance.

  18. Table 7. U.S. Refiner Motor Gasoline Volumes by Grade and Sales...

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

    NA 26.6 See footnotes at end of table. 14 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 7. U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type...

  19. Table 7. U.S. Refiner Motor Gasoline Volumes by Grade and Sales...

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

    NA 27.4 See footnotes at end of table. 14 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 7. U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type...

  20. Table A2. Refiner/Reseller Prices of Aviation Fuels, Propane...

    Gasoline and Diesel Fuel Update (EIA)

    - W 73.5 See footnotes at end of table. A2. RefinerReseller Prices of Aviation Fuels, Propane, and Kerosene, by PAD District, 1983-Present Energy Information Administration ...

  1. Table 13. U.S. Refiner Reformulated Motor Gasoline Volumes by...

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

    3.3 3.4 7.9 3.3 W 11.3 See footnotes at end of table. 13. U.S. Refiner Reformulated Motor Gasoline Volumes by Grade and Sales Type 26 Energy Information Administration ...

  2. Table 8. U.S. Refiner Conventional Motor Gasoline Prices by...

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

    88.4 87.8 80.1 70.0 NA 72.6 See footnotes at end of table. 8. U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type 16 Energy Information Administration ...

  3. Table 9. U.S. Refiner Conventional Motor Gasoline Volumes by...

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

    5.7 5.9 4.4 12.9 NA 17.3 See footnotes at end of table. 9. U.S. Refiner Conventional Motor Gasoline Volumes by Grade and Sales Type 18 Energy Information Administration ...

  4. Table 12. U.S. Refiner Reformulated Motor Gasoline Prices by...

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

    92.8 92.5 84.0 72.5 W 80.7 See footnotes at end of table. 12. U.S. Refiner Reformulated Motor Gasoline Prices by Grade and Sales Type 24 Energy Information Administration ...

  5. Table 8. U.S. Refiner Conventional Motor Gasoline Prices by...

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

    87.4 86.9 78.3 68.5 W 70.8 See footnotes at end of table. 8. U.S. Refiner Conventional Motor Gasoline Prices by Grade and Sales Type 16 Energy Information Administration ...

  6. Table 12. U.S. Refiner Reformulated Motor Gasoline Prices by...

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

    92.4 92.1 83.7 74.1 W 80.9 See footnotes at end of table. 12. U.S. Refiner Reformulated Motor Gasoline Prices by Grade and Sales Type 24 Energy Information Administration ...

  7. Table 10. U.S. Refiner Oxygenated Motor Gasoline Prices by...

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

    98.0 98.0 86.6 75.0 - 80.1 See footnotes at end of table. 10. U.S. Refiner Oxygenated Motor Gasoline Prices by Grade and Sales Type 20 Energy Information Administration ...

  8. Table 10. U.S. Refiner Oxygenated Motor Gasoline Prices by...

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

    94.0 93.9 83.2 73.8 - 79.3 See footnotes at end of table. 10. U.S. Refiner Oxygenated Motor Gasoline Prices by Grade and Sales Type 20 Energy Information Administration ...

  9. Table 13. U.S. Refiner Reformulated Motor Gasoline Volumes by...

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

    3.6 3.7 7.9 3.1 W 11.0 See footnotes at end of table. 13. U.S. Refiner Reformulated Motor Gasoline Volumes by Grade and Sales Type 26 Energy Information Administration ...

  10. Process for solvent refining of coal using a denitrogenated and dephenolated solvent

    DOE Patents [OSTI]

    Garg, Diwakar (Macungie, PA); Givens, Edwin N. (Bethlehem, PA); Schweighardt, Frank K. (Allentown, PA)

    1984-01-01

    A process is disclosed for the solvent refining of non-anthracitic coal at elevated temperatures and pressure in a hydrogen atmosphere using a hydrocarbon solvent which before being recycled in the solvent refining process is subjected to chemical treatment to extract substantially all nitrogenous and phenolic constituents from the solvent so as to improve the conversion of coal and the production of oil in the solvent refining process. The solvent refining process can be either thermal or catalytic. The extraction of nitrogenous compounds can be performed by acid contact such as hydrogen chloride or fluoride treatment, while phenolic extraction can be performed by caustic contact or contact with a mixture of silica and alumina.

  11. Table 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil...

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

    839.2 135.0 1,251.9 See footnotes at end of table. 46. Refiner No. 2 Distillate, Diesel Fuel, and Fuel Oil Volumes by PAD District and State Energy Information Administration ...

  12. Table 9. U.S. Refiner Conventional Motor Gasoline Volumes by...

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

    0.1 18.7 See footnotes at end of table. 18 Energy Information Administration Petroleum Marketing Annual 1995 Table 9. U.S. Refiner Conventional Motor Gasoline Volumes by Grade...

  13. Fact #676: May 23, 2011 U.S. Refiners Produce about 19 Gallons...

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

    A standard U.S. barrel contains 42 gallons of crude oil which yields about 44 gallons of ... and 10 gallons of diesel fuel are produced from a barrel of crudeoil by U.S. refiners. ...

  14. Reductions in Northeast Refining Activity: Potential Implications for Petroleum Product Markets

    Reports and Publications (EIA)

    2011-01-01

    This report is the Energy Information Administration's (EIA) initial effort to provide information and analysis on the potential impacts on petroleum product markets from reductions in Northeast petroleum refining activity.

  15. The Space-based Telescopes for Actionable Refinement of Ephemeris (STARE)

    Office of Scientific and Technical Information (OSTI)

    mission (Conference) | SciTech Connect Space-based Telescopes for Actionable Refinement of Ephemeris (STARE) mission Citation Details In-Document Search Title: The Space-based Telescopes for Actionable Refinement of Ephemeris (STARE) mission Authors: Riot, V ; Devries, W ; Bauman, B ; Simms, L ; Carter, D ; Phillion, D ; Olivier, S Publication Date: 2013-05-28 OSTI Identifier: 1092503 Report Number(s): LLNL-CONF-637976 DOE Contract Number: W-7405-ENG-48 Resource Type: Conference Resource

  16. SU-E-T-573: The Robustness of a Combined Margin Recipe for Uncertainties During Radiotherapy

    SciTech Connect (OSTI)

    Stroom, J; Vieira, S; Greco, C [Champalimaud Foundation, Lisbon, Lisbon (Portugal)

    2014-06-01

    Purpose: To investigate the variability of a safety margin recipe that combines CTV and PTV margins quadratically, with several tumor, treatment, and user related factors. Methods: Margin recipes were calculated by monte-carlo simulations in 5 steps. 1. A spherical tumor with or without isotropic microscopic was irradiated with a 5 field dose plan2. PTV: Geometric uncertainties were introduced using systematic (Sgeo) and random (sgeo) standard deviations. CTV: Microscopic disease distribution was modelled by semi-gaussian (Smicro) with varying number of islets (Ni)3. For a specific uncertainty set (Sgeo, sgeo, Smicro(Ni)), margins were varied until pre-defined decrease in TCP or dose coverage was fulfilled. 4. First, margin recipes were calculated for each of the three uncertainties separately. CTV and PTV recipes were then combined quadratically to yield a final recipe M(Sgeo, sgeo, Smicro(Ni)).5. The final M was verified by simultaneous simulations of the uncertainties.Now, M has been calculated for various changing parameters like margin criteria, penumbra steepness, islet radio-sensitivity, dose conformity, and number of fractions. We subsequently investigated A: whether the combined recipe still holds in all these situations, and B: what the margin variation was in all these cases. Results: We found that the accuracy of the combined margin recipes remains on average within 1mm for all situations, confirming the correctness of the quadratic addition. Depending on the specific parameter, margin factors could change such that margins change over 50%. Especially margin recipes based on TCP-criteria are more sensitive to more parameters than those based on purely geometric Dmin-criteria. Interestingly, measures taken to minimize treatment field sizes (by e.g. optimizing dose conformity) are counteracted by the requirement of larger margins to get the same tumor coverage. Conclusion: Margin recipes combining geometric and microscopic uncertainties quadratically are accurate under varying circumstances. However margins can change up to 50% for different situations.

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

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

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

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

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

    Feet) Oil Wells (Million Cubic Feet) Other States Natural Gas Gross Withdrawals from Oil Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 3,459 3,117 3,336 1,781 1,806 1,881 1,841 1,820 1,781 1,699 1,247 1,228 1992 4,284 3,872 4,141 4,027 4,047 3,883 3,964 3,957 3,892 4,169 4,146 4,334 1993 4,123 3,693 4,049 3,865 3,942 3,786 3,915 3,924 3,861 4,146 4,114 4,200 1994 3,639 3,242 3,557 3,409 3,488 3,384 3,552 3,643 3,597 3,796 3,818 3,991 1995 3,937 3,524

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

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

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

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

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

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

    2015-05-28

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

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

    SciTech Connect (OSTI)

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

    2015-05-28

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

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

    SciTech Connect (OSTI)

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

    2014-03-20

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

  3. Pattern of Failure After Limited Margin Radiotherapy and Temozolomide for Glioblastoma

    SciTech Connect (OSTI)

    McDonald, Mark W.; Shu, Hui-Kuo G.; Curran, Walter J.; Crocker, Ian R.

    2011-01-01

    Purpose: To evaluate the pattern of failure after limited margin radiotherapy for glioblastoma. Methods and Materials: We analyzed 62 consecutive patients with newly diagnosed glioblastoma treated between 2006 and 2008 with standard fractionation to a total dose of 60Gy with concurrent temozolomide (97%) or arsenic trioxide (3%). The initial clinical target volume included postoperative T2 abnormality with a median margin of 0.7cm. The boost clinical target volume included residual T1-enhancing tumor and resection cavity with a median margin of 0.5cm. Planning target volumes added a 0.3- or 0.5-cm margin to clinical target volumes. The total boost planning target volume (PTV{sub boost}) margin was 1cm or less in 92% of patients. The volume of recurrent tumor (new T1 enhancement) was categorized by the percent within the 60-Gy isodose line as central (>95%), infield (81-95%), marginal (20-80%), or distant (<20%). For comparison, an initial planning target volume with a 2-cm margin and PTV{sub boost} with a 2.5-cm margin were created for each patient. Results: With a median follow-up of 12 months, radiographic tumor progression developed in 43 of 62 patients. Imaging was available for analysis in 41: 38 (93%) had central or infield failure, 2 (5%) had marginal failure, and 1 (2%) had distant failure relative to the 60-Gy isodose line. The treated PTV{sub boost} (median, 140cm{sup 3}) was, on average, 70% less than the PTV{sub boost} with a 2.5-cm margin (median, 477cm{sup 3}) (p < 0.001). Conclusions: A PTV{sub boost} margin of 1cm or less did not appear to increase the risk of marginal and/or distant tumor failures compared with other published series. With careful radiation planning and delivery, it appears that treatment margins for glioblastoma can be reduced.

  4. An adaptive grid refinement strategy for the simulation of negative streamers

    SciTech Connect (OSTI)

    Montijn, C. . E-mail: carolynne.montijn@cwi.nl; Hundsdorfer, W. . E-mail: willem.hundsdorfer@cwi.nl; Ebert, U. . E-mail: ute.ebert@cwi.nl

    2006-12-10

    The evolution of negative streamers during electric breakdown of a non-attaching gas can be described by a two-fluid model for electrons and positive ions. It consists of continuity equations for the charged particles including drift, diffusion and reaction in the local electric field, coupled to the Poisson equation for the electric potential. The model generates field enhancement and steep propagating ionization fronts at the tip of growing ionized filaments. An adaptive grid refinement method for the simulation of these structures is presented. It uses finite volume spatial discretizations and explicit time stepping, which allows the decoupling of the grids for the continuity equations from those for the Poisson equation. Standard refinement methods in which the refinement criterion is based on local error monitors fail due to the pulled character of the streamer front that propagates into a linearly unstable state. We present a refinement method which deals with all these features. Tests on one-dimensional streamer fronts as well as on three-dimensional streamers with cylindrical symmetry (hence effectively 2D for numerical purposes) are carried out successfully. Results on fine grids are presented, they show that such an adaptive grid method is needed to capture the streamer characteristics well. This refinement strategy enables us to adequately compute negative streamers in pure gases in the parameter regime where a physical instability appears: branching streamers.

  5. Seismic margin review of the Maine Yankee Atomic Power Station: Fragility analysis

    SciTech Connect (OSTI)

    Ravindra, M. K.; Hardy, G. S.; Hashimoto, P. S.; Griffin, M. J.

    1987-03-01

    This Fragility Analysis is the third of three volumes for the Seismic Margin Review of the Maine Yankee Atomic Power Station. Volume 1 is the Summary Report of the first trial seismic margin review. Volume 2, Systems Analysis, documents the results of the systems screening for the review. The three volumes are part of the Seismic Margins Program initiated in 1984 by the Nuclear Regulatory Commission (NRC) to quantify seismic margins at nuclear power plants. The overall objectives of the trial review are to assess the seismic margins of a particular pressurized water reactor, and to test the adequacy of this review approach, quantification techniques, and guidelines for performing the review. Results from the trial review will be used to revise the seismic margin methodology and guidelines so that the NRC and industry can readily apply them to assess the inherent quantitative seismic capacity of nuclear power plants.

  6. Adaptive h -refinement for reduced-order models: ADAPTIVE h -refinement for reduced-order models

    SciTech Connect (OSTI)

    Carlberg, Kevin T.

    2014-11-05

    Our work presents a method to adaptively refine reduced-order models a posteriori without requiring additional full-order-model solves. The technique is analogous to mesh-adaptive h-refinement: it enriches the reduced-basis space online by splitting a given basis vector into several vectors with disjoint support. The splitting scheme is defined by a tree structure constructed offline via recursive k-means clustering of the state variables using snapshot data. This method identifies the vectors to split online using a dual-weighted-residual approach that aims to reduce error in an output quantity of interest. The resulting method generates a hierarchy of subspaces online without requiring large-scale operations or full-order-model solves. Furthermore, it enables the reduced-order model to satisfy any prescribed error tolerance regardless of its original fidelity, as a completely refined reduced-order model is mathematically equivalent to the original full-order model. Experiments on a parameterized inviscid Burgers equation highlight the ability of the method to capture phenomena (e.g., moving shocks) not contained in the span of the original reduced basis.

  7. Treatment of Passive Component Reliability in Risk-Informed Safety Margin Characterization FY 2010 Report

    SciTech Connect (OSTI)

    Robert W Youngblood

    2010-09-01

    The Risk-Informed Safety Margin Characterization (RISMC) pathway is a set of activities defined under the U.S. Department of Energy (DOE) Light Water Reactor Sustainability Program. The overarching objective of RISMC is to support plant life-extension decision-making by providing a state-of-knowledge characterization of safety margins in key systems, structures, and components (SSCs). A technical challenge at the core of this effort is to establish the conceptual and technical feasibility of analyzing safety margin in a risk-informed way, which, unlike conventionally defined deterministic margin analysis, is founded on probabilistic characterizations of SSC performance.

  8. Free kick instead of cross-validation in maximum-likelihood refinement of macromolecular crystal structures

    SciTech Connect (OSTI)

    Pranikar, Jure [Institute Joef Stefan, Jamova 39, 1000 Ljubljana (Slovenia); University of Primorska, (Slovenia); Turk, Duan, E-mail: dusan.turk@ijs.si [Institute Joef Stefan, Jamova 39, 1000 Ljubljana (Slovenia); Center of Excellence for Integrated Approaches in Chemistry and Biology of Proteins, (Slovenia)

    2014-12-01

    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. Interpolation Methods and the Accuracy of Lattice-Boltzmann Mesh Refinement

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect Journal Article: Interpolation Methods and the Accuracy of Lattice-Boltzmann Mesh Refinement Citation Details In-Document Search Title: Interpolation Methods and the Accuracy of Lattice-Boltzmann Mesh Refinement Authors: Guzik, S M ; Weisgraber, T H ; Colella, P ; Alder, B J Publication Date: 2012-10-18 OSTI Identifier: 1226215 Report Number(s): LLNL-JRNL-594615 DOE Contract Number: AC52-07NA27344 Resource Type: Journal Article Resource Relation: Journal

  10. New Seismic Model Will Refine Hazard Analysis at U.S. Nuclear Plants |

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

    Department of Energy Seismic Model Will Refine Hazard Analysis at U.S. Nuclear Plants New Seismic Model Will Refine Hazard Analysis at U.S. Nuclear Plants January 31, 2012 - 2:09pm Addthis The Electric Power Research Institute (EPRI), the U.S. Department of Energy (DOE), and the U.S. Nuclear Regulatory Commission (NRC) released a new seismic study today that will help U.S. nuclear facilities in the central and eastern United States reassess seismic hazards. The Central and Eastern United

  11. Implications of Increasing Light Tight Oil Production for U.S. Refining

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

    Implications of Increasing Light Tight Oil Production for U.S. Refining May 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Implications of Increasing Light Oil Production on the U.S. Refining System i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are

  12. Austenite grain refinement during load-biased thermal cycling of a

    Office of Scientific and Technical Information (OSTI)

    Ni49.9Ti50.1 shape memory alloy (Journal Article) | DOE PAGES Austenite grain refinement during load-biased thermal cycling of a Ni49.9Ti50.1 shape memory alloy This content will become publicly available on June 30, 2017 « Prev Next » Title: Austenite grain refinement during load-biased thermal cycling of a Ni49.9Ti50.1 shape memory alloy Authors: Bowers, M. L. ; Gao, Y. ; Yang, L. ; Gaydosh, D. J. ; De Graef, M. ; Noebe, R. D. ; Wang, Y. ; Mills, M. J. Publication Date: 2015-06-01 OSTI

  13. ,"U.S. Aviation Gasoline Refiner Sales Volumes"

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

    Aviation Gasoline Refiner Sales Volumes" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Aviation Gasoline Refiner Sales Volumes",2,"Monthly","2/2016","1/15/1983" ,"Release Date:","5/2/2016" ,"Next Release Date:","6/1/2016" ,"Excel File

  14. ,"U.S. Residual Fuel Oil Refiner Sales Volumes"

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

    Refiner Sales Volumes" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Residual Fuel Oil Refiner Sales Volumes",2,"Monthly","2/2016","1/15/1983" ,"Release Date:","5/2/2016" ,"Next Release Date:","6/1/2016" ,"Excel File

  15. ,"Aviation Gasoline Sales to End Users Refiner Sales Volumes"

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

    Aviation Gasoline Sales to End Users Refiner Sales Volumes" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Aviation Gasoline Sales to End Users Refiner Sales Volumes",60,"Monthly","2/2016","1/15/1983" ,"Release Date:","5/2/2016" ,"Next Release

  16. Produce through coiled tubing to keep marginal wells unloaded

    SciTech Connect (OSTI)

    Not Available

    1986-12-01

    The use of coiled tubing as an alternate production tubing string has been attempted or considered by numerous operators in the past. However, its use has been tempered due to several problems known to be inherent with coiled tubing recompletions. Some of the problems encountered are: Killing the well to allow for tubing installation always carries the risk of formation damage; Candidate wells normally are marginal producers and may not produce sufficient revenue to justify the cost of a major workover; Procedures followed to install surface equipment may be hazardous; Previous installation designs required running the coiled tubing to the top of the tree, affecting the functional loss of all existing wellhead equipment; Often substandard modifications were required to reconnect into existing production facilities. However, a prototype spool and tubing hanger that incorporated modifications designed to solve these problems has been developed jointly by Reeled Tubing, Inc., and Well-head Control Systems. The solution is a new concept in the coiled tubing hanger. The design incorporates a floating element, which is a combination slip bowl, seal element and retaining sub. The entire assembly is installed and activated in the bore of a specially designed spool installed between the primary and secondary master valves of the existing wellhead.

  17. Dark halos and elliptical galaxies as marginally stable dynamical systems

    SciTech Connect (OSTI)

    El Zant, A. A.

    2013-12-10

    The origin of equilibrium gravitational configurations is sought in terms of the stability of their trajectories, as described by the curvature of their Lagrangian configuration manifold of particle positionsa context in which subtle spurious effects originating from the singularity in the two-body potential become particularly clear. We focus on the case of spherical systems, which support only regular orbits in the collisionless limit, despite the persistence of local exponential instability of N-body trajectories in the anomalous case of discrete point particle representation even as N ? ?. When the singularity in the potential is removed, this apparent contradiction disappears. In the absence of fluctuations, equilibrium configurations generally correspond to positive scalar curvature and thus support stable trajectories. A null scalar curvature is associated with an effective, averaged equation of state describing dynamically relaxed equilibria with marginally stable trajectories. The associated configurations are quite similar to those of observed elliptical galaxies and simulated cosmological halos and are necessarily different from the systems dominated by isothermal cores, expected from entropy maximization in the context of the standard theory of violent relaxation. It is suggested that this is the case because a system starting far from equilibrium does not reach a 'most probable state' via violent relaxation, but that this process comes to an end as the system finds and (settles in) a configuration where it can most efficiently wash out perturbations. We explicitly test this interpretation by means of direct simulations.

  18. Studies on design of a process for organo-refining of coal to obtain super clean coal

    SciTech Connect (OSTI)

    Sharma, C.S.; Sharma, D.K.

    1999-08-01

    Organo-refining of coal results in refining the coal to obtain super clean coal and residual coal. Super clean coal may be used to obtain value added chemicals, products, and cleaner fuels from coal. In the present work, studies on the design of a semicontinuous process for organo-refining of one ton of coal have been made. The results are reported. This is only a cursory attempt for the design, and further studies may be required for designing this process for use in the development of a scaled-up process of organo-refining of coal.

  19. Table 3b. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual

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

    b. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars per barrel)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO

  20. Tools for macromolecular model building and refinement into electron cryo-microscopy reconstructions

    SciTech Connect (OSTI)

    Brown, Alan; Long, Fei; Nicholls, Robert A.; Toots, Jaan; Emsley, Paul; Murshudov, Garib, E-mail: garib@mrc-lmb.cam.ac.uk [MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH (United Kingdom)

    2015-01-01

    A description is given of new tools to facilitate model building and refinement into electron cryo-microscopy reconstructions. The recent rapid development of single-particle electron cryo-microscopy (cryo-EM) now allows structures to be solved by this method at resolutions close to 3 . Here, a number of tools to facilitate the interpretation of EM reconstructions with stereochemically reasonable all-atom models are described. The BALBES database has been repurposed as a tool for identifying protein folds from density maps. Modifications to Coot, including new Jiggle Fit and morphing tools and improved handling of nucleic acids, enhance its functionality for interpreting EM maps. REFMAC has been modified for optimal fitting of atomic models into EM maps. As external structural information can enhance the reliability of the derived atomic models, stabilize refinement and reduce overfitting, ProSMART has been extended to generate interatomic distance restraints from nucleic acid reference structures, and a new tool, LIBG, has been developed to generate nucleic acid base-pair and parallel-plane restraints. Furthermore, restraint generation has been integrated with visualization and editing in Coot, and these restraints have been applied to both real-space refinement in Coot and reciprocal-space refinement in REFMAC.

  1. Table A1. Refiner/Reseller Motor Gasoline Prices by Grade, PAD...

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

    71.6 92.3 78.2 101.8 83.6 87.5 74.7 See footnotes at end of table. A1. RefinerReseller Motor Gasoline Prices by Grade, PAD District, and State, 1984-Present 452 Energy Information...

  2. Table 6. U.S. Refiner Motor Gasoline Prices by Grade and Sales...

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

    61.5 67.3 89.8 89.5 82.2 69.4 71.1 74.9 See footnotes at end of table. 6. U.S. Refiner Motor Gasoline Prices by Grade and Sales Type 12 Energy Information Administration ...

  3. Table 7. U.S. Refiner Motor Gasoline Volumes by Grade and Sales...

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

    35.2 213.6 9.5 9.8 12.9 16.6 NA 29.5 See footnotes at end of table. 7. U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type 14 Energy Information Administration ...

  4. Table 11. U.S. Refiner Oxygenated Motor Gasoline Volumes by...

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

    W 5.6 0.5 0.5 0.5 0.4 - 0.9 See footnotes at end of table. 11. U.S. Refiner Oxygenated Motor Gasoline Volumes by Grade and Sales Type 22 Energy Information Administration ...

  5. Table 6. U.S. Refiner Motor Gasoline Prices by Grade and Sales...

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

    62.2 68.5 90.1 89.6 82.4 70.9 NA 75.9 See footnotes at end of table. 6. U.S. Refiner Motor Gasoline Prices by Grade and Sales Type 12 Energy Information Administration ...

  6. Table 7. U.S. Refiner Motor Gasoline Volumes by Grade and Sales...

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

    33.9 215.8 9.7 10.0 12.1 16.3 0.0 28.4 See footnotes at end of table. 7. U.S. Refiner Motor Gasoline Volumes by Grade and Sales Type 14 Energy Information Administration ...

  7. Table 11. U.S. Refiner Oxygenated Motor Gasoline Volumes by...

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

    - 4.9 0.4 0.4 0.3 0.4 - 0.7 See footnotes at end of table. 11. U.S. Refiner Oxygenated Motor Gasoline Volumes by Grade and Sales Type 22 Energy Information Administration ...

  8. Environmental Regulations and Changes in Petroleum Refining Operations (Released in the STEO June 1998)

    Reports and Publications (EIA)

    1998-01-01

    Changes in domestic refining operations are identified and related to the summer Reid vapor pressure (RVP) restrictions and oxygenate blending requirements. This analysis uses published Energy Information Administration survey data and linear regression equations from the Short-Term Integrated Forecasting System (STIFS). The STIFS model is used for producing forecasts appearing in the Short-Term Energy Outlook.

  9. Towards solution and refinement of organic crystal structures by fitting to the atomic pair distribution function

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

    Prill, Dragica; Juhas, Pavol; Billinge, Simon J. L.; Schmidt, Martin U.

    2016-01-01

    In this study, a method towards the solution and refinement of organic crystal structures by fitting to the atomic pair distribution function (PDF) is developed. Approximate lattice parameters and molecular geometry must be given as input. The molecule is generally treated as a rigid body. The positions and orientations of the molecules inside the unit cell are optimized starting from random values. The PDF is obtained from carefully measured X-ray powder diffraction data. The method resembles `real-space' methods for structure solution from powder data, but works with PDF data instead of the diffraction pattern itself. As such it may bemore » used in situations where the organic compounds are not long-range-ordered, are poorly crystalline, or nanocrystalline. The procedure was applied to solve and refine the crystal structures of quinacridone (β phase), naphthalene and allopurinol. In the case of allopurinol it was even possible to successfully solve and refine the structure in P1 with four independent molecules. As an example of a flexible molecule, the crystal structure of paracetamol was refined using restraints for bond lengths, bond angles and selected torsion angles. In all cases, the resulting structures are in excellent agreement with structures from single-crystal data.« less

  10. EIS-0069: Solvent Refined Coal-II Demonstration Project, Fort Martin, Monongalia County, West Virginia

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy developed this statement to assess the potential environmental, economic and social impacts associated with the construction and short-term operation of a 6,000-tons-per-stream-day-capacity facility that will demonstrate the technical operability, economic viability, and environmental acceptability of the solvent refined coal process at Fort Martin, West Virginia.

  11. Towards solution and refinement of organic crystal structures by fitting to the atomic pair distribution function

    SciTech Connect (OSTI)

    Prill, Dragica; Juhas, Pavol; Billinge, Simon J. L.; Schmidt, Martin U.

    2016-01-01

    In this study, a method towards the solution and refinement of organic crystal structures by fitting to the atomic pair distribution function (PDF) is developed. Approximate lattice parameters and molecular geometry must be given as input. The molecule is generally treated as a rigid body. The positions and orientations of the molecules inside the unit cell are optimized starting from random values. The PDF is obtained from carefully measured X-ray powder diffraction data. The method resembles `real-space' methods for structure solution from powder data, but works with PDF data instead of the diffraction pattern itself. As such it may be used in situations where the organic compounds are not long-range-ordered, are poorly crystalline, or nanocrystalline. The procedure was applied to solve and refine the crystal structures of quinacridone (β phase), naphthalene and allopurinol. In the case of allopurinol it was even possible to successfully solve and refine the structure in P1 with four independent molecules. As an example of a flexible molecule, the crystal structure of paracetamol was refined using restraints for bond lengths, bond angles and selected torsion angles. In all cases, the resulting structures are in excellent agreement with structures from single-crystal data.

  12. Risk-Informed Safety Margin Characterization Methods Development Work

    SciTech Connect (OSTI)

    Smith, Curtis L; Ma, Zhegang; Tom Riley; Mandelli, Diego; Nielsen, Joseph W; Alfonsi, Andrea; Rabiti, Cristian

    2014-09-01

    This report summarizes the research activity developed during the Fiscal year 2014 within the Risk Informed Safety Margin and Characterization (RISMC) pathway within the Light Water Reactor Sustainability (LWRS) campaign. This research activity is complementary to the one presented in the INL/EXT-??? report which shows advances Probabilistic Risk Assessment Analysis using RAVEN and RELAP-7 in conjunction to novel flooding simulation tools. Here we present several analyses that prove the values of the RISMC approach in order to assess risk associated to nuclear power plants (NPPs). We focus on simulation based PRA which, in contrast to classical PRA, heavily employs system simulator codes. Firstly we compare, these two types of analyses, classical and RISMC, for a Boiling water reactor (BWR) station black out (SBO) initiating event. Secondly we present an extended BWR SBO analysis using RAVEN and RELAP-5 which address the comments and suggestions received about he original analysis presented in INL/EXT-???. This time we focus more on the stochastic analysis such probability of core damage and on the determination of the most risk-relevant factors. We also show some preliminary results regarding the comparison between RELAP5-3D and the new code RELAP-7 for a simplified Pressurized Water Reactors system. Lastly we present some conceptual ideas regarding the possibility to extended the RISMC capabilities from an off-line tool (i.e., as PRA analysis tool) to an online-tool. In this new configuration, RISMC capabilities can be used to assist and inform reactor operator during real accident scenarios.

  13. Petroleum possibilities in continental margin off central Chile

    SciTech Connect (OSTI)

    Gonzalez, E.

    1986-07-01

    The continental margin off central Chile, from Valparaiso to Valdivia, encompassing an area of 100,000 km/sup 2/, has been the target of exploratory activity by Empresa Nacional del Petroleo since 1970. Exploratory drilling began in 1972. By August 1984, total exploratory efforts had resulted in drilling 14 offshore wells and acquiring 12,130 km of seismic reflection lines. A biogenic gas accumulation was discovered in the F well. Because these attempts to find oil were unsuccessful and because drilling costs have escalated, exploratory activities have been curtailed. Forearc basins off central Chile are characterized by low geothermal gradient and a sedimentary filling of Cretaceous and Tertiary strata. Tertiary sequences are characterized by low organic carbon content, immature humic-type organic matter, and a biogenic gas potential. Cretaceous sequences are characterized by higher organic carbon content, good reservoir rocks, and fair to good source rocks. The organic matter is sapropelic, with vitrinite and liptinites, and is favorable for oil and gas generation. Seismic and well data suggest that Mesozoic and Cenozoic sedimentary rock sequences filling the basins (more than 4000 m thick at the shelf edge) extend 40-70 km beyond the present shelf edge. Mesozoic rocks deposited on the slope may generate petroleum and gas that could migrate upslope and accumulate in traps associated with the faulted basement highs and graben-type depressions existing at the shelf edge. This geologic setting favors the development of large petroleum accumulations along the shelf edge and graben on the sedimentary basins off central Chile.

  14. ORBITAL MIGRATION OF PROTOPLANETS IN A MARGINALLY GRAVITATIONALLY UNSTABLE DISK

    SciTech Connect (OSTI)

    Boss, Alan P.

    2013-02-20

    Core accretion and disk instability require giant protoplanets to form in the presence of disk gas. Protoplanet migration models generally assume disk masses low enough that the disk's self-gravity can be neglected. However, disk instability requires a disk massive enough to be marginally gravitationally unstable (MGU). Even for core accretion, an FU Orionis outburst may require a brief MGU disk phase. We present a new set of three-dimensional, gravitational radiation hydrodynamics models of MGU disks with multiple protoplanets, which interact gravitationally with the disk and with each other, including disk gas mass accretion. Initial protoplanet masses are 0.01 to 10 M {sub Circled-Plus} for core accretion models, and 0.1 to 3 M {sub Jup} for Nice scenario models, starting on circular orbits with radii of 6, 8, 10, or 12 AU, inside a 0.091 M {sub Sun} disk extending from 4 to 20 AU around a 1 M {sub Sun} protostar. Evolutions are followed for up to {approx}4000 yr and involve phases of relative stability (e {approx} 0.1) interspersed with chaotic phases (e {approx} 0.4) of orbital interchanges. The 0.01 to 10 M {sub Circled-Plus} cores can orbit stably for {approx}1000 yr: monotonic inward or outward orbital migration of the type seen in low mass disks does not occur. A system with giant planet masses similar to our solar system (1.0, 0.33, 0.1, 0.1 M {sub Jup}) was stable for over 1000 yr, and a Jupiter-Saturn-like system was stable for over 3800 yr, implying that our giant planets might well survive an MGU disk phase.

  15. Exploiting structure similarity in refinement: automated NCS and target-structure restraints in BUSTER

    SciTech Connect (OSTI)

    Smart, Oliver S. Womack, Thomas O.; Flensburg, Claus; Keller, Peter; Paciorek, Włodek; Sharff, Andrew; Vonrhein, Clemens; Bricogne, Gérard

    2012-04-01

    Local structural similarity restraints (LSSR) provide a novel method for exploiting NCS or structural similarity to an external target structure. Two examples are given where BUSTER re-refinement of PDB entries with LSSR produces marked improvements, enabling further structural features to be modelled. Maximum-likelihood X-ray macromolecular structure refinement in BUSTER has been extended with restraints facilitating the exploitation of structural similarity. The similarity can be between two or more chains within the structure being refined, thus favouring NCS, or to a distinct ‘target’ structure that remains fixed during refinement. The local structural similarity restraints (LSSR) approach considers all distances less than 5.5 Å between pairs of atoms in the chain to be restrained. For each, the difference from the distance between the corresponding atoms in the related chain is found. LSSR applies a restraint penalty on each difference. A functional form that reaches a plateau for large differences is used to avoid the restraints distorting parts of the structure that are not similar. Because LSSR are local, there is no need to separate out domains. Some restraint pruning is still necessary, but this has been automated. LSSR have been available to academic users of BUSTER since 2009 with the easy-to-use -autoncs and @@target target.pdb options. The use of LSSR is illustrated in the re-refinement of PDB entries http://scripts.iucr.org/cgi-bin/cr.cgi?rm, where -target enables the correct ligand-binding structure to be found, and http://scripts.iucr.org/cgi-bin/cr.cgi?rm, where -autoncs contributes to the location of an additional copy of the cyclic peptide ligand.

  16. Anisotropic Margin Expansions in 6 Anatomic Directions for Oropharyngeal Image Guided Radiation Therapy

    SciTech Connect (OSTI)

    Yock, Adam D. [Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas (United States); Garden, Adam S. [Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Court, Laurence E. [Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas (United States); Beadle, Beth M. [Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Zhang, Lifei [Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Dong, Lei, E-mail: dong.lei@scrippshealth.org [Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas (United States)

    2013-11-01

    Purpose: The purpose of this work was to determine the expansions in 6 anatomic directions that produced optimal margins considering nonrigid setup errors and tissue deformation for patients receiving image-guided radiation therapy (IGRT) of the oropharynx. Methods and Materials: For 20 patients who had received IGRT to the head and neck, we deformably registered each patient's daily images acquired with a computed tomography (CT)-on-rails system to his or her planning CT. By use of the resulting vector fields, the positions of volume elements within the clinical target volume (CTV) (target voxels) or within a 1-cm shell surrounding the CTV (normal tissue voxels) on the planning CT were identified on each daily CT. We generated a total of 15,625 margins by dilating the CTV by 1, 2, 3, 4, or 5 mm in the posterior, anterior, lateral, medial, inferior, and superior directions. The optimal margins were those that minimized the relative volume of normal tissue voxels positioned within the margin while satisfying 1 of 4 geometric target coverage criteria and 1 of 3 population criteria. Results: Each pair of geometric target coverage and population criteria resulted in a unique, anisotropic, optimal margin. The optimal margin expansions ranged in magnitude from 1 to 5 mm depending on the anatomic direction of the expansion and on the geometric target coverage and population criteria. Typically, the expansions were largest in the medial direction, were smallest in the lateral direction, and increased with the demand of the criteria. The anisotropic margin resulting from the optimal set of expansions always included less normal tissue than did any isotropic margin that satisfied the same pair of criteria. Conclusions: We demonstrated the potential of anisotropic margins to reduce normal tissue exposure without compromising target coverage in IGRT to the head and neck.

  17. Shock margin testing of a one-axis MEMS accelerometer. (Technical Report) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Technical Report: Shock margin testing of a one-axis MEMS accelerometer. Citation Details In-Document Search Title: Shock margin testing of a one-axis MEMS accelerometer. Shock testing was performed on a selected commercial-off-the-shelf - MicroElectroMechanical System (COTS-MEMS) accelerometer to determine the margin between the published absolute maximum rating for shock and the 'measured' level where failures are observed. The purpose of this testing is to provide baseline

  18. The effects of air pollution regulations on the US refining industry. Task 3

    SciTech Connect (OSTI)

    Not Available

    1989-06-01

    Numerous air pollution regulations affecting petroleum refineries recently have been promulgated, have been proposed, or are under consideration at the federal, state, and local level. As shown in Figure ES-1, all of these environmental regulations are intended to take effect over the relatively short time period from 1989 through 1995. In the aggregate these regulatory activities have significant implications for the US refining industry and the Nation, including: Major investment requirements; changes in industry profitability; potential closure of some refineries; and potential changes in crude oil or product import dependence. At issue is whether the cumulative effect of these regulations could so adversely affect the US refining industry that US national security would be affected. In addition to the regulations outlined in Figure ES-1, President Bush recently presented a major new plan to improve the nation`s air quality. The aspects of the President`s plan that could strongly affect US refineries are summarized below.

  19. Report to the Congress on the storage of refined petroleum products and on regional supply interruptions

    SciTech Connect (OSTI)

    Not Available

    1991-06-01

    This report describes petroleum and petroleum products storage and supply disruption. Information is presented under the following topics: Historical Perspective; Current Patterns of Supply and Disposition of Petroleum Products in the Primary Distribution System; PADD I Clean Products Supply/Demand; 1990 Regional Petroleum Reserve Annual Computation; Market Infrastructure and Commercial Practices in the California Motor Gasoline Market, as Related to Potential Refined Petroleum Product Reserve Structures and Sales Procedures; Infrastructure and Commercial Practices in the Northeast Distillate Market, as Related to Potential Refined Petroleum Product Reserve Structures and Sales Procedures; Storage Stability Characteristics of Petroleum Products and Crude Oil; Effect of 1990 Clean Air Act Amendments on Demand for Petroleum Product Storage Capacity; and Environmental Regulations on Tanks.

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

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

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

    2015-12-17

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

  1. NREL Refines Method to Convert Lignin to Nylon Precursor - News Releases |

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

    NREL NREL Refines Method to Convert Lignin to Nylon Precursor Recent Findings Published in Energy & Environmental Science February 26, 2015 A new study from the Energy Department's National Renewable Energy Laboratory (NREL) demonstrates the conversion of lignin-derived compounds to adipic acid, an important industrial dicarboxylic acid produced for its use as a precursor to nylon, plasticizers, lubricants, polyesters, and other popular products and chemicals. The demonstration is an

  2. Implications of Increasing Light Tight Oil Production for U.S. Refining -

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

    Energy Information Administration Implications of Increasing Light Tight Oil Production for U.S. Refining Release date: May 5, 2015 Revised: May 12, 2015 (revision) 1. Background and Analytical Framework Background Recent and projected increases in U.S. crude production have sparked discussion about the implications of current limitations on crude oil exports for prices, including both world and domestic crude oil and petroleum product prices, and for the level of domestic crude production

  3. Application of a catalyst deactivation model for hydrotreating solvent refined coal feedstocks

    SciTech Connect (OSTI)

    Nalitham, R.V.

    1983-10-01

    A simple kinetic model, including a first-order catalyst deactivation rate, is applied to upgrading of coal-derived feedstocks prepared from two solvent refined coal fractions. A catalyst deactivation mechanism is proposed which involves the adsorption and surface reaction of coke precursors on catalytic active sites. The effect of feedstock composition, temperature and pressure on kinetic parameters, and in particular the catalyst deactivation rate, is determined.

  4. Fewer Steps to Higher Octane Gasoline in Petroleum Refining | U.S. DOE

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

    Office of Science (SC) Fewer Steps to Higher Octane Gasoline in Petroleum Refining Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) Community Resources Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: Email Us More Information » 07.01.13 Fewer

  5. Refined BCF-type boundary conditions for mesoscale surface step dynamics

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

    Zhao, Renjie; Ackerman, David M.; Evans, James W.

    2015-06-24

    Deposition on a vicinal surface with alternating rough and smooth steps is described by a solid-on-solid model with anisotropic interactions. Kinetic Monte Carlo (KMC) simulations of the model reveal step pairing in the absence of any additional step attachment barriers. We explore the description of this behavior within an analytic Burton-Cabrera-Frank (BCF)-type step dynamics treatment. Without attachment barriers, conventional kinetic coefficients for the rough and smooth steps are identical, as are the predicted step velocities for a vicinal surface with equal terrace widths. However, we determine refined kinetic coefficients from a two-dimensional discrete deposition-diffusion equation formalism which accounts for stepmore » structure. These coefficients are generally higher for rough steps than for smooth steps, reflecting a higher propensity for capture of diffusing terrace adatoms due to a higher kink density. Such refined coefficients also depend on the local environment of the step and can even become negative (corresponding to net detachment despite an excess adatom density) for a smooth step in close proximity to a rough step. Incorporation of these refined kinetic coefficients into a BCF-type step dynamics treatment recovers quantitatively the mesoscale step-pairing behavior observed in the KMC simulations.« less

  6. Refined BCF-type boundary conditions for mesoscale surface step dynamics

    SciTech Connect (OSTI)

    Zhao, Renjie; Ackerman, David M.; Evans, James W.

    2015-06-24

    Deposition on a vicinal surface with alternating rough and smooth steps is described by a solid-on-solid model with anisotropic interactions. Kinetic Monte Carlo (KMC) simulations of the model reveal step pairing in the absence of any additional step attachment barriers. We explore the description of this behavior within an analytic Burton-Cabrera-Frank (BCF)-type step dynamics treatment. Without attachment barriers, conventional kinetic coefficients for the rough and smooth steps are identical, as are the predicted step velocities for a vicinal surface with equal terrace widths. However, we determine refined kinetic coefficients from a two-dimensional discrete deposition-diffusion equation formalism which accounts for step structure. These coefficients are generally higher for rough steps than for smooth steps, reflecting a higher propensity for capture of diffusing terrace adatoms due to a higher kink density. Such refined coefficients also depend on the local environment of the step and can even become negative (corresponding to net detachment despite an excess adatom density) for a smooth step in close proximity to a rough step. Incorporation of these refined kinetic coefficients into a BCF-type step dynamics treatment recovers quantitatively the mesoscale step-pairing behavior observed in the KMC simulations.

  7. Experimental validation of the van Herk margin formula for lung radiation therapy

    SciTech Connect (OSTI)

    Ecclestone, Gillian; Heath, Emily; Bissonnette, Jean-Pierre

    2013-11-15

    Purpose: To validate the van Herk margin formula for lung radiation therapy using realistic dose calculation algorithms and respiratory motion modeling. The robustness of the margin formula against variations in lesion size, peak-to-peak motion amplitude, tissue density, treatment technique, and plan conformity was assessed, along with the margin formula assumption of a homogeneous dose distribution with perfect plan conformity.Methods: 3DCRT and IMRT lung treatment plans were generated within the ORBIT treatment planning platform (RaySearch Laboratories, Sweden) on 4DCT datasets of virtual phantoms. Random and systematic respiratory motion induced errors were simulated using deformable registration and dose accumulation tools available within ORBIT for simulated cases of varying lesion sizes, peak-to-peak motion amplitudes, tissue densities, and plan conformities. A detailed comparison between the margin formula dose profile model, the planned dose profiles, and penumbra widths was also conducted to test the assumptions of the margin formula. Finally, a correction to account for imperfect plan conformity was tested as well as a novel application of the margin formula that accounts for the patient-specific motion trajectory.Results: The van Herk margin formula ensured full clinical target volume coverage for all 3DCRT and IMRT plans of all conformities with the exception of small lesions in soft tissue. No dosimetric trends with respect to plan technique or lesion size were observed for the systematic and random error simulations. However, accumulated plans showed that plan conformity decreased with increasing tumor motion amplitude. When comparing dose profiles assumed in the margin formula model to the treatment plans, discrepancies in the low dose regions were observed for the random and systematic error simulations. However, the margin formula respected, in all experiments, the 95% dose coverage required for planning target volume (PTV) margin derivation, as defined by the ICRU; thus, suitable PTV margins were estimated. The penumbra widths calculated in lung tissue for each plan were found to be very similar to the 6.4 mm value assumed by the margin formula model. The plan conformity correction yielded inconsistent results which were largely affected by image and dose grid resolution while the trajectory modified PTV plans yielded a dosimetric benefit over the standard internal target volumes approach with up to a 5% decrease in the V20 value.Conclusions: The margin formula showed to be robust against variations in tumor size and motion, treatment technique, plan conformity, as well as low tissue density. This was validated by maintaining coverage of all of the derived PTVs by 95% dose level, as required by the formal definition of the PTV. However, the assumption of perfect plan conformity in the margin formula derivation yields conservative margin estimation. Future modifications to the margin formula will require a correction for plan conformity. Plan conformity can also be improved by using the proposed trajectory modified PTV planning approach. This proves especially beneficial for tumors with a large anteriorposterior component of respiratory motion.

  8. Risk Informed Safety Margin Characterization (RISMC) Advanced Test Reactor Demonstration Case Study

    Broader source: Energy.gov [DOE]

    Safety is central to the design, licensing, operation, and economics of Nuclear Power Plants (NPPs). Consequently, the ability to better characterize and quantify safety margin holds the key to...

  9. Towards a Holographic Marginal Fermi Liquid (Journal Article) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect Towards a Holographic Marginal Fermi Liquid Citation Details In-Document Search Title: Towards a Holographic Marginal Fermi Liquid We present an infinite class of 2+1 dimensional field theories which, after coupling to semi-holographic fermions, exhibit strange metallic behavior in a suitable large N limit. These theories describe lattices of hypermultiplet defects interacting with parity-preserving supersymmetric Chern-Simons theories with U(N) x U(N) gauge groups at levels {+-}k.

  10. Towards a holographic marginal Fermi liquid (Journal Article) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect Towards a holographic marginal Fermi liquid Citation Details In-Document Search Title: Towards a holographic marginal Fermi liquid Authors: Jensen, Kristan ; Kachru, Shamit ; Karch, Andreas ; Polchinski, Joseph ; Silverstein, Eva Publication Date: 2011-12-02 OSTI Identifier: 1098349 Type: Publisher's Accepted Manuscript Journal Name: Physical Review D Additional Journal Information: Journal Volume: 84; Journal Issue: 12; Journal ID: ISSN 1550-7998 Publisher: American Physical Society

  11. Risk Informed Safety Margin Characterization Case Study: Selection of Electrical Equipment To Be Subjected to Environmental Qualification

    SciTech Connect (OSTI)

    D. Blanchard; R. Youngblood

    2012-04-01

    In general, the margins-based safety case helps the decision-maker manage plant margins most effectively. It tells the plant decision-maker such things as what margin is present (at the plant level, at the functional level, at the barrier level, at the component level), and where margin is thin or perhaps just degrading. If the plant is safe, it tells the decision-maker why the plant is safe and where margin needs to be maintained, and perhaps where the plant can afford to relax.

  12. Steam system opportunity assessment for the pulp and paper, chemical manufacturing, and petroleum refining industries: Main report

    SciTech Connect (OSTI)

    None, None

    2002-10-01

    This report assesses steam generation and use in the pulp and paper, chemical, and petroleum refining industries, and estimates the potential for energy savings from implementation of steam system performance and efficiency improvements.

  13. Fact #676: May 23, 2011 U.S. Refiners Produce about 19 Gallons of Gasoline from a Barrel of Oil

    Broader source: Energy.gov [DOE]

    A standard U.S. barrel contains 42 gallons of crude oil which yields about 44 gallons of petroleum products. The additional 2 gallons of petroleum products come from refiner gains which result in...

  14. TU-F-17A-07: Real-Time Personalized Margins

    SciTech Connect (OSTI)

    Rottmann, J; Berbeco, R

    2014-06-15

    Purpose: To maximize normal tissue sparing for treatments requiring motion encompassing margins. Motion mitigation techniques including DMLC or couch tracking can freeze tumor motion within the treatment aperture potentially allowing for smaller treatment margins and thus better sparing of normal tissue. To enable for a safe application of this concept in the clinic we propose adapting margins dynamically in real-time during radiotherapy delivery based on personalized tumor localization confidence. To demonstrate technical feasibility we present a phantom study. Methods: We utilize a realistic anthropomorphic dynamic thorax phantom with a lung tumor model embedded close to the spine. The tumor, a 3D-printout of a patient's GTV, is moved 15mm peak-to-peak by diaphragm compression and monitored by continuous EPID imaging in real-time. Two treatment apertures are created for each beam, one representing ITV -based and the other GTV-based margin expansion. A soft tissue localization (STiL) algorithm utilizing the continuous EPID images is employed to freeze tumor motion within the treatment aperture by means of DMLC tracking. Depending on a tracking confidence measure (TCM), the treatment aperture is adjusted between the ITV and the GTV leaf. Results: We successfully demonstrate real-time personalized margin adjustment in a phantom study. We measured a system latency of about 250 ms which we compensated by utilizing a respiratory motion prediction algorithm (ridge regression). With prediction in place we observe tracking accuracies better than 1mm. For TCM=0 (as during startup) an ITV-based treatment aperture is chosen, for TCM=1 a GTV-based aperture and for 0margins during radiotherapy and adapt to tracking confidence in real-time. Normal tissue sparing is maximized. The worst case scenario results in delivering a plan with standard margins used in the clinic today.

  15. Evaluation of tropical channel refinement using MPAS-A aquaplanet simulations

    SciTech Connect (OSTI)

    Martini, Matus N.; Gustafson, Jr., William I.; O'Brien, Travis A.; Ma, Po -Lun

    2015-09-13

    Climate models with variable-resolution grids offer a computationally less expensive way to provide more detailed information at regional scales and increased accuracy for processes that cannot be resolved by a coarser grid. This study uses the Model for Prediction Across Scales–Atmosphere (MPAS22A), consisting of a nonhydrostatic dynamical core and a subset of Advanced Research Weather Research and Forecasting (ARW-WRF) model atmospheric physics that have been modified to include the Community Atmosphere Model version 5 (CAM5) cloud fraction parameterization, to investigate the potential benefits of using increased resolution in an tropical channel. The simulations are performed with an idealized aquaplanet configuration using two quasi-uniform grids, with 30 km and 240 km grid spacing, and two variable-resolution grids spanning the same grid spacing range; one with a narrow (20°S–20°N) and one with a wide (30°S–30°N) tropical channel refinement. Results show that increasing resolution in the tropics impacts both the tropical and extratropical circulation. Compared to the quasi-uniform coarse grid, the narrow-channel simulation exhibits stronger updrafts in the Ferrel cell as well as in the middle of the upward branch of the Hadley cell. The wider tropical channel has a closer correspondence to the 30 km quasi-uniform simulation. However, the total atmospheric poleward energy transports are similar in all simulations. The largest differences are in the low-level cloudiness. The refined channel simulations show improved tropical and extratropical precipitation relative to the global 240 km simulation when compared to the global 30 km simulation. All simulations have a single ITCZ. Furthermore, the relatively small differences in mean global and tropical precipitation rates among the simulations are a promising result, and the evidence points to the tropical channel being an effective method for avoiding the extraneous numerical artifacts seen in earlier studies that only refined portion of the tropics.

  16. Evaluation of Tropical Channel Refinement using MPAS-A Aquaplanet Simulations

    SciTech Connect (OSTI)

    Martini, Matus; Gustafson, William I.; O'Brien, Travis A.; Ma, Po-Lun

    2015-09-13

    Climate models with variable-resolution grids offer a computationally less expensive way to provide more detailed information at regional scales and increased accuracy for processes that cannot be resolved by a coarser grid. This study uses the Model for Prediction Across Scales–Atmosphere (MPAS22A), consisting of a nonhydrostatic dynamical core and a subset of Advanced Research Weather Research and Forecasting (ARW-WRF) model atmospheric physics that have been modified to include the Community Atmosphere Model version 5 (CAM5) cloud fraction parameterization, to investigate the potential benefits of using increased resolution in an tropical channel. The simulations are performed with an idealized aquaplanet configuration using two quasi-uniform grids, with 30 km and 240 km grid spacing, and two variable-resolution grids spanning the same grid spacing range; one with a narrow (20°S–20°N) and one with a wide (30°S–30°N) tropical channel refinement. Results show that increasing resolution in the tropics impacts both the tropical and extratropical circulation. Compared to the quasi-uniform coarse grid, the narrow-channel simulation exhibits stronger updrafts in the Ferrel cell as well as in the middle of the upward branch of the Hadley cell. The wider tropical channel has a closer correspondence to the 30 km quasi-uniform simulation. However, the total atmospheric poleward energy transports are similar in all simulations. The largest differences are in the low-level cloudiness. The refined channel simulations show improved tropical and extratropical precipitation relative to the global 240 km simulation when compared to the global 30 km simulation. All simulations have a single ITCZ. The relatively small differences in mean global and tropical precipitation rates among the simulations are a promising result, and the evidence points to the tropical channel being an effective method for avoiding the extraneous numerical artifacts seen in earlier studies that only refined portion of the tropics.

  17. Direct Reduction of Waste through Refining of DOE Metal Assets - 13632

    SciTech Connect (OSTI)

    Hargett, Michael C.; Terekhov, Dimitri; Khozan, Kamran M.

    2013-07-01

    CVMR{sup R} presents a technology for refining nickel from the enrichment barrier materials of the DOE that is proven through 100 years of use by the metals industry. CVMR{sup R} applies modern controls, instrumentation for process and monitoring of the system, and innovative production methods to produce a wide spectrum of products that generate new technology applications and improvements to our society and economy. CVMR{sup R} will receive barrier materials as a secure operation and size reduce the metal to a shred that is fed to a carbonylation reactor where nickel is reacted with carbon monoxide and generate nickel carbonyl. The carbonyl will be filtered and decomposed with heat to form a variety of products that include high value nano powders, coated substrates, net shapes and pure nickel. The residue from the reactor will retain radionuclides from enrichment activities. The carbon monoxide will only react and extract nickel under the operating conditions to leave volumetric contamination in the unreacted residue. A demonstration plant was designed and built by CVMR{sup R} and operated by BWXT, to demonstrate the systems capabilities to DOE in 2006. A pilot plant operation precedes the detailed design of the nickel refinery and provides essential data for design, safe work practices, waste characterizations and system kinetics and confirms the project feasibility. CVMR{sup R} produces nickel products that are cleaner than the nickel in U.S. commerce and used by industry today. The CVMR{sup R} process and systems for nickel refining is well suited for DOE materials and will provide value through environmental stewardship, recovery of high value assets, and support of the DOE environmental remediation programs as the refined nickel generates additional long term benefits to local communities. (authors)

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

    Energy Savers [EERE]

    Petroleum Refining (NAICS 324110) Process Energy Electricity and Steam Generation Losses Process Losses 234 Nonprocess Losses 3,542 689 Steam Distribution Losses 150 22 Nonprocess Energy 2,873 Electricity Generation Steam Generation 3,542 150 Prepared for the U.S. Department of Energy, Advanced Manufacturing Office by Energetics Incorporated 59 2,734 153 Generation and Transmission Losses Generation and Transmission Losses 58 308 2,793 2,285 891 3,176 461 208 657 13.2 26.7 40.0 139.2 176.3 3.2

  19. Table 3a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual

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

    a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars per barrel in ""dollar year"" specific to each AEO)" ,"AEO $ Year",1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",1992,16.69,16.42999,16.9899,17.66,18.28,19.0599,19.89,20.72,21.65,22.61,23.51,24.29,24.9,25.6,26.3,27,27.64,28.16

  20. Quantitative phase analysis of Mg:ZrO{sub 2} nanoparticles by Rietveld refinement method

    SciTech Connect (OSTI)

    Balaji, V. Senthilkumaran, S. Thangadurai, P.

    2014-04-24

    To quantify the structural phases of nanocrystalline ZrO{sub 2} doped with Mg ions of varying concentrations (3, 5, 10, 15 and 20%) and annealed at different temperatures. Magnesia doped zirconia was prepared by chemical co-precipitation method and annealed up to 1000°C. The monoclinic and tetragonal phases present in Mg:ZrO{sub 2} were quantified using Rietveld refinement analysis of the X-ray diffraction data and compared with the Direct method based on peak intensity calculations. Tetragonal phase was dominant in the 600°C annealed Mg:ZrO{sub 2} for all Mg concentrations.

  1. Methods of refining and producing dibasic esters and acids from natural oil feedstocks

    DOE Patents [OSTI]

    Snead, Thomas E.; Cohen, Steven A.; Gildon, Demond L.

    2016-03-15

    Methods are provided for refining natural oil feedstocks and producing dibasic esters and/or dibasic acids. The methods comprise reacting a terminal olefin with an internal olefin in the presence of a metathesis catalyst to form a dibasic ester and/or dibasic acid. In certain embodiments, the olefin esters are formed by reacting the feedstock in the presence of a metathesis catalyst under conditions sufficient to form a metathesized product comprising olefins and esters, separating the olefins from the esters in the metathesized product, and transesterifying the esters in the presence of an alcohol to form a transesterified product having olefin esters.

  2. Methods of refining and producing dibasic esters and acids from natural oil feedstocks

    DOE Patents [OSTI]

    Snead, Thomas E; Cohen, Steven A; Gildon, Demond L

    2015-04-07

    Methods are provided for refining natural oil feedstocks and producing dibasic esters and/or dibasic acids. The methods comprise reacting a terminal olefin with an internal olefin in the presence of a metathesis catalyst to form a dibasic ester and/or dibasic acid. In certain embodiments, the olefin esters are formed by reacting the feedstock in the presence of a metathesis catalyst under conditions sufficient to form a metathesized product comprising olefins and esters, separating the olefins from the esters in the metathesized product, and transesterifying the esters in the presence of an alcohol to form a transesterified product having olefin esters.

  3. ,"U.S. Refiner Acquisition Cost of Crude Oil"

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

    Acquisition Cost of Crude Oil" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Refiner Acquisition Cost of Crude Oil",3,"Monthly","3/2016","1/15/1974" ,"Release Date:","5/2/2016" ,"Next Release Date:","6/1/2016" ,"Excel File

  4. Bandwidth Study on Energy Use and Potential Energy Savings Opportunities in U.S. Petroleum Refining

    SciTech Connect (OSTI)

    Sabine Brueske, Caroline Kramer, Aaron Fisher

    2015-06-01

    Energy bandwidth studies of U.S. manufacturing sectors can serve as foundational references in framing the range (or bandwidth) of potential energy savings opportunities. This bandwidth study examines energy consumption and potential energy savings opportunities in U.S. petroleum refining. The study relies on multiple sources to estimate the energy used in nine individual process areas, representing 68% of sector-wide energy consumption. Energy savings opportunities for individual processes are based on technologies currently in use or under development; these potential savings are then extrapolated to estimate sector-wide energy savings opportunity.

  5. European refiners must seek creative processes to justify heavy-ends projects

    SciTech Connect (OSTI)

    Hunt, P.

    1996-12-09

    There are strong reasons for wanting to upgrade the bottom of the crude oil barrel. But European refiners will not find it easy to get approval and funding for major capital investment projects. In most cases, investment justification will have to be creative and may need to rely on factors traditionally considered to be outside the conventional refinery fence. Examples of such creative upgrading schemes are those employed in four gasification projects planned for refineries in Italy. It is clear that the major obstacles to heavy residue processing are not technical, but economic. A review of these obstacles will set the stage for European investment in bottom-of-the-barrel processing.

  6. Optimization of leaf margins for lung stereotactic body radiotherapy using a flattening filter-free beam

    SciTech Connect (OSTI)

    Wakai, Nobuhide; Sumida, Iori; Otani, Yuki; Suzuki, Osamu; Seo, Yuji; Isohashi, Fumiaki; Yoshioka, Yasuo; Ogawa, Kazuhiko; Hasegawa, Masatoshi

    2015-05-15

    Purpose: The authors sought to determine the optimal collimator leaf margins which minimize normal tissue dose while achieving high conformity and to evaluate differences between the use of a flattening filter-free (FFF) beam and a flattening-filtered (FF) beam. Methods: Sixteen lung cancer patients scheduled for stereotactic body radiotherapy underwent treatment planning for a 7 MV FFF and a 6 MV FF beams to the planning target volume (PTV) with a range of leaf margins (?3 to 3 mm). Forty grays per four fractions were prescribed as a PTV D95. For PTV, the heterogeneity index (HI), conformity index, modified gradient index (GI), defined as the 50% isodose volume divided by target volume, maximum dose (Dmax), and mean dose (Dmean) were calculated. Mean lung dose (MLD), V20 Gy, and V5 Gy for the lung (defined as the volumes of lung receiving at least 20 and 5 Gy), mean heart dose, and Dmax to the spinal cord were measured as doses to organs at risk (OARs). Paired t-tests were used for statistical analysis. Results: HI was inversely related to changes in leaf margin. Conformity index and modified GI initially decreased as leaf margin width increased. After reaching a minimum, the two values then increased as leaf margin increased (V shape). The optimal leaf margins for conformity index and modified GI were ?1.1 0.3 mm (mean 1 SD) and ?0.2 0.9 mm, respectively, for 7 MV FFF compared to ?1.0 0.4 and ?0.3 0.9 mm, respectively, for 6 MV FF. Dmax and Dmean for 7 MV FFF were higher than those for 6 MV FF by 3.6% and 1.7%, respectively. There was a positive correlation between the ratios of HI, Dmax, and Dmean for 7 MV FFF to those for 6 MV FF and PTV size (R = 0.767, 0.809, and 0.643, respectively). The differences in MLD, V20 Gy, and V5 Gy for lung between FFF and FF beams were negligible. The optimal leaf margins for MLD, V20 Gy, and V5 Gy for lung were ?0.9 0.6, ?1.1 0.8, and ?2.1 1.2 mm, respectively, for 7 MV FFF compared to ?0.9 0.6, ?1.1 0.8, and ?2.2 1.3 mm, respectively, for 6 MV FF. With the heart inside the radiation field, the mean heart dose showed a V-shaped relationship with leaf margins. The optimal leaf margins were ?1.0 0.6 mm for both beams. Dmax to the spinal cord showed no clear trend for changes in leaf margin. Conclusions: The differences in doses to OARs between FFF and FF beams were negligible. Conformity index, modified GI, MLD, lung V20 Gy, lung V5 Gy, and mean heart dose showed a V-shaped relationship with leaf margins. There were no significant differences in optimal leaf margins to minimize these parameters between both FFF and FF beams. The authors results suggest that a leaf margin of ?1 mm achieves high conformity and minimizes doses to OARs for both FFF and FF beams.

  7. Conformation-dependent backbone geometry restraints set a new standard for protein crystallographic refinement

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

    Moriarty, Nigel W.; Tronrud, Dale E.; Adams, Paul D.; Karplus, P. Andrew

    2014-06-17

    Ideal values of bond angles and lengths used as external restraints are crucial for the successful refinement of protein crystal structures at all but the highest of resolutions. The restraints in common usage today have been designed based on the assumption that each type of bond or angle has a single ideal value independent of context. However, recent work has shown that the ideal values are, in fact, sensitive to local conformation, and as a first step toward using such information to build more accurate models, ultra-high resolution protein crystal structures have been used to derive a conformation-dependent library (CDL)more » of restraints for the protein backbone (Berkholz et al. 2009. Structure. 17, 1316). Here, we report the introduction of this CDL into the Phenix package and the results of test refinements of thousands of structures across a wide range of resolutions. These tests show that use of the conformation dependent library yields models that have substantially better agreement with ideal main-chain bond angles and lengths and, on average, a slightly enhanced fit to the X-ray data. No disadvantages of using the backbone CDL are apparent. In Phenix usage of the CDL can be selected by simply specifying the cdl=True option. This successful implementation paves the way for further aspects of the context-dependence of ideal geometry to be characterized and applied to improve experimental and predictive modelling accuracy.« less

  8. Conformation-dependent backbone geometry restraints set a new standard for protein crystallographic refinement

    SciTech Connect (OSTI)

    Moriarty, Nigel W.; Tronrud, Dale E.; Adams, Paul D.; Karplus, P. Andrew

    2014-06-17

    Ideal values of bond angles and lengths used as external restraints are crucial for the successful refinement of protein crystal structures at all but the highest of resolutions. The restraints in common usage today have been designed based on the assumption that each type of bond or angle has a single ideal value independent of context. However, recent work has shown that the ideal values are, in fact, sensitive to local conformation, and as a first step toward using such information to build more accurate models, ultra-high resolution protein crystal structures have been used to derive a conformation-dependent library (CDL) of restraints for the protein backbone (Berkholz et al. 2009. Structure. 17, 1316). Here, we report the introduction of this CDL into the Phenix package and the results of test refinements of thousands of structures across a wide range of resolutions. These tests show that use of the conformation dependent library yields models that have substantially better agreement with ideal main-chain bond angles and lengths and, on average, a slightly enhanced fit to the X-ray data. No disadvantages of using the backbone CDL are apparent. In Phenix usage of the CDL can be selected by simply specifying the cdl=True option. This successful implementation paves the way for further aspects of the context-dependence of ideal geometry to be characterized and applied to improve experimental and predictive modelling accuracy.

  9. US imports. Part II. Refined product market shares, then and now

    SciTech Connect (OSTI)

    Not Available

    1987-07-08

    Unlike imports of crude oil to the US, which were up 45.7% between 1977 and 1986, imports of petroleum products have fallen by about 8.6% during the same period. The crude oil price crash of 1986 deepened US dependency on imports of crude, from 21.4% in 1977 to 25.4% in 1986, but reduced the dependency in the case of total refined products from 11.32% in 1977 to 11.13% in 1986. Comparing the first four months of 1987 with 1986, US dependency on imported petroleum products is down 2.73 percentage points; import dependency on OPEC petroleum products is down 4.60 percentage points; dependency on Arab OPEC countries product imports is down 1.88 percentage points; and for Eastern Hemisphere exporters, that dependency has fallen 2.17 percentage points. This issue also contains: (1) ED refining netback data from the US Gulf and West coasts, Rotterdam, and Singapore for early July 1987; and (2) ED fuel price/tax series for countries of the Western Hemisphere, July 1987 edition. 4 figures, 5 tables.

  10. Solvent Refined Coal (SRC) process. Quarterly technical progress report, January 1979-March 1979

    SciTech Connect (OSTI)

    Not Available

    1980-02-01

    This report summarizes the progress of the Solvent Refined Coal (SRC) Project by the Pittsburg and Midway Coal Mining Co. for the Department of Energy for the period January 1, 1979 to March 31, 1979. Activities included the operation and modification of the Solvent Refined Coal Pilot Plant at Fort Lewis, Washington; the Process Development Unit P-99 at Harmarville, Pennsylvania; and research at Merriam Laboratory in Merriam, Kansas. The Pilot Plant processed Powhatan No. 5 Coal in the SRC-II mode of operation studying the effect of coal particle size and system temperature on coal slurry blending and the effect of carbon monoxide concentration in the reaction feed gas on process yields. January and February were spent completing installation of a fourth High Pressure Separator on Process Development Unit P-99 to better simulate operating conditions for the proposed Demonstration Plant. During March, one run was completed at P-99 feeding Pittsburgh Seam Coal from the Powhatan No. 5 Mine. Merriam investigations included a study of the effect of iron containing additives on SRC-I operation, the addition of carbon monoxide to the feed gas, utilization of a hydrogenated solvent (Cresap process solvent) in the SRC-I mode under both normal and short residence time operating conditions, and development of a simulated distillation technique to determine the entire boiling range distribution of product oils.

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

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

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

  12. Integrating Safety Assessment Methods using the Risk Informed Safety Margins Characterization (RISMC) Approach

    SciTech Connect (OSTI)

    Curtis Smith; Diego Mandelli

    2013-03-01

    Safety is central to the design, licensing, operation, and economics of nuclear power plants (NPPs). As the current light water reactor (LWR) NPPs age beyond 60 years, there are possibilities for increased frequency of systems, structures, and components (SSC) degradations or failures that initiate safety significant events, reduce existing accident mitigation capabilities, or create new failure modes. Plant designers commonly “over-design” portions of NPPs and provide robustness in the form of redundant and diverse engineered safety features to ensure that, even in the case of well-beyond design basis scenarios, public health and safety will be protected with a very high degree of assurance. This form of defense-in-depth is a reasoned response to uncertainties and is often referred to generically as “safety margin.” Historically, specific safety margin provisions have been formulated primarily based on engineering judgment backed by a set of conservative engineering calculations. The ability to better characterize and quantify safety margin is important to improved decision making about LWR design, operation, and plant life extension. A systematic approach to characterization of safety margins and the subsequent margin management options represents a vital input to the licensee and regulatory analysis and decision making that will be involved. In addition, as research and development (R&D) in the LWR Sustainability (LWRS) Program and other collaborative efforts yield new data, sensors, and improved scientific understanding of physical processes that govern the aging and degradation of plant SSCs needs and opportunities to better optimize plant safety and performance will become known. To support decision making related to economics, readability, and safety, the RISMC Pathway provides methods and tools that enable mitigation options known as margins management strategies. The purpose of the RISMC Pathway R&D is to support plant decisions for risk-informed margin management with the aim to improve economics, reliability, and sustain safety of current NPPs. As the lead Department of Energy (DOE) Laboratory for this Pathway, the Idaho National Laboratory (INL) is tasked with developing and deploying methods and tools that support the quantification and management of safety margin and uncertainty.

  13. SU-E-J-88: Margin Reduction of Level II/III Planning Target Volume for

    Office of Scientific and Technical Information (OSTI)

    Image-Guided Simultaneous Integrated Boost Head-And-Neck Treatment (Journal Article) | SciTech Connect 88: Margin Reduction of Level II/III Planning Target Volume for Image-Guided Simultaneous Integrated Boost Head-And-Neck Treatment Citation Details In-Document Search Title: SU-E-J-88: Margin Reduction of Level II/III Planning Target Volume for Image-Guided Simultaneous Integrated Boost Head-And-Neck Treatment Purpose: To investigate the feasibility of improved normal tissue sparing for

  14. Quantification of the Variability of Diaphragm Motion and Implications for Treatment Margin Construction

    SciTech Connect (OSTI)

    Rit, Simon; Herk, Marcel van; Zijp, Lambert [Department of Radiation Oncology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam (Netherlands); Sonke, Jan-Jakob, E-mail: j.sonke@nki.nl [Department of Radiation Oncology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam (Netherlands)

    2012-03-01

    Purpose: To quantify the variability of diaphragm motion during free-breathing radiotherapy of lung patients and its effect on treatment margins to account for geometric uncertainties. Methods and Materials: Thirty-three lung cancer patients were analyzed. Each patient had 5-19 cone-beam scans acquired during different treatment fractions. The craniocaudal position of the diaphragm dome on the same side as the tumor was tracked over 2 min in the projection images, because it is both easily visible and a suitable surrogate to study the variability of the tumor motion and its impact on treatment margins. Intra-acquisition, inter-acquisition, and inter-patient variability of the respiratory cycles were quantified separately, as were the probability density functions (PDFs) of the diaphragm position over each cycle, each acquisition, and each patient. Asymmetric margins were simulated using each patient PDF and compared to symmetric margins computed from a margin recipe. Results: The peak-to-peak amplitude variability (1 SD) was 3.3 mm, 2.4 mm, and 6.1 mm for the intra-acquisition, inter-acquisition, and inter-patient variability, respectively. The average PDF of each cycle was similar to the sin{sup 4} function but the PDF of each acquisition was closer to a skew-normal distribution because of the motion variability. Despite large interfraction baseline variability, the PDF of each patient was generally asymmetric with a longer end-inhale tail because the end-exhale position was more stable than the end-inhale position. The asymmetry of the PDF required asymmetric margins around the time-averaged position to account for the position uncertainty but the average difference was 1.0 mm (range, 0.0-4.4 mm) for a sharp penumbra and an idealized online setup correction protocol. Conclusion: The respiratory motion is more irregular during the fractions than between the fractions. The PDF of the respiratory motion is asymmetrically distributed. Both the intra-acquisition variability and the PDF asymmetry have a limited impact on dose distributions and inferred margins. The use of a margin recipe to account for respiratory motion with an estimate of the average motion amplitude was adequate in almost all patients.

  15. Evaluation of tropical channel refinement using MPAS-A aquaplanet simulations

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

    Martini, Matus N.; Gustafson, Jr., William I.; O'Brien, Travis A.; Ma, Po -Lun

    2015-09-13

    Climate models with variable-resolution grids offer a computationally less expensive way to provide more detailed information at regional scales and increased accuracy for processes that cannot be resolved by a coarser grid. This study uses the Model for Prediction Across Scales–Atmosphere (MPAS22A), consisting of a nonhydrostatic dynamical core and a subset of Advanced Research Weather Research and Forecasting (ARW-WRF) model atmospheric physics that have been modified to include the Community Atmosphere Model version 5 (CAM5) cloud fraction parameterization, to investigate the potential benefits of using increased resolution in an tropical channel. The simulations are performed with an idealized aquaplanet configurationmore » using two quasi-uniform grids, with 30 km and 240 km grid spacing, and two variable-resolution grids spanning the same grid spacing range; one with a narrow (20°S–20°N) and one with a wide (30°S–30°N) tropical channel refinement. Results show that increasing resolution in the tropics impacts both the tropical and extratropical circulation. Compared to the quasi-uniform coarse grid, the narrow-channel simulation exhibits stronger updrafts in the Ferrel cell as well as in the middle of the upward branch of the Hadley cell. The wider tropical channel has a closer correspondence to the 30 km quasi-uniform simulation. However, the total atmospheric poleward energy transports are similar in all simulations. The largest differences are in the low-level cloudiness. The refined channel simulations show improved tropical and extratropical precipitation relative to the global 240 km simulation when compared to the global 30 km simulation. All simulations have a single ITCZ. Furthermore, the relatively small differences in mean global and tropical precipitation rates among the simulations are a promising result, and the evidence points to the tropical channel being an effective method for avoiding the extraneous numerical artifacts seen in earlier studies that only refined portion of the tropics.« less

  16. Light Water Reactor Sustainability Program Risk Informed Safety Margin Characterization (RISMC) Advanced Test Reactor Demonstration Case Study

    SciTech Connect (OSTI)

    Curtis Smith; David Schwieder; Cherie Phelan; Anh Bui; Paul Bayless

    2012-08-01

    Safety is central to the design, licensing, operation, and economics of Nuclear Power Plants (NPPs). Consequently, the ability to better characterize and quantify safety margin holds the key to improved decision making about LWR design, operation, and plant life extension. A systematic approach to characterization of safety margins and the subsequent margins management options represents a vital input to the licensee and regulatory analysis and decision making that will be involved. The purpose of the RISMC Pathway R&D is to support plant decisions for risk-informed margins management with the aim to improve economics, reliability, and sustain safety of current NPPs. Goals of the RISMC Pathway are twofold: (1) Develop and demonstrate a risk-assessment method coupled to safety margin quantification that can be used by NPP decision makers as part of their margin recovery strategies. (2) Create an advanced RISMC toolkit that enables more accurate representation of NPP safety margin. This report describes the RISMC methodology demonstration where the Advanced Test Reactor (ATR) was used as a test-bed for purposes of determining safety margins. As part of the demonstration, we describe how both the thermal-hydraulics and probabilistic safety calculations are integrated and used to quantify margin management strategies.

  17. Geologic hazards on the Atlantic continental margin of the United States

    SciTech Connect (OSTI)

    Folger, D.W.

    1985-01-01

    Although 46 exploratory holes have failed to reveal commercial hydrocarbon accumulations on the US Atlantic margin, about twice that number were drilled on the contiguous Canadian margin before large reserves were discovered. Thus, despite the initial results, exploration on the US margin will probably continue and additional information will be needed to augment the extensive environmental data base acquired over the past 10 years. The extent, timing, causes, and importance of sediment instability of the Continental Slopes of Georges Bank, Baltimore Canyon Trough and Carolina Trough--where future exploration will take place--remain controversial. Many question remain to be answered regarding such phenomena as creep on the upper slope, mass wasting in canyons and gullies, and slumping associated with faults and salt diapirs. Along the southeastern margin, the distribution of cavernous porosity below the shelf is only broadly known. Caverns pose a potential threat to drilling operations ranging from collapse of rigs to circulation loss and sheared drill strings. In deeper waters of the Continental Slope (700-2000 m), clathrates or frozen gas hydrates are common. The potential hazard of blow-outs from gas trapped beneath this layer are unknown. Additional information is needed to assess the bottom stresses imposed by tidal, storm, and geostrophically-driven currents on offshore rigs and structures, particularly in such areas as Georges Bank, the Carolina Trough, and the Blake Plateau.

  18. Table 3a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual

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

    a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual Projected Price in Constant Dollars (constant dollars per barrel in "dollar year" specific to each AEO) AEO $ Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 1992 16.69 16.43 16.99 17.66 18.28 19.06 19.89 20.72 21.65 22.61 23.51 24.29 24.90 25.60 26.30 27.00 27.64 28.16 AEO 1995 1993 14.90 16.41 16.90 17.45 18.00 18.53 19.13 19.65 20.16 20.63

  19. Table 3b. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual

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

    b. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars per barrel) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 17.06 17.21 18.24 19.43 20.64 22.12 23.76 25.52 27.51 29.67 31.86 34.00 36.05 38.36 40.78 43.29 45.88 48.37 AEO 1995 15.24 17.27 18.23 19.26 20.39 21.59 22.97 24.33 25.79 27.27 28.82 30.38 32.14 33.89 35.85 37.97 40.28 AEO 1996 17.16 17.74 18.59

  20. Early F-type stars - refined classification, confrontation with Stromgren photometry, and the effects of rotation

    SciTech Connect (OSTI)

    Gray, R.O.; Garrison, R.F.

    1989-02-01

    The classification for early F-type stars in the MK spectral classification system presented by Gray and Garrison (1987) is refined. The effect of rotation on spectral classification and ubvy-beta photometry of early F-type stars is examined. It is found that the classical luminosity criterion, the 4417 A/4481 A ratio gives inconsistent results. It is shown that most of the stars in the Delta Delphini class of metallic-line stars are either normal or are indistinguishable from proto-Am stars. It is suggested that the designation Delta Delphini should be dropped. The classifications are compared with Stromgren photometry. The effects of rotation on the delta-c sub 1 index in the early-F field dwarfs is demonstrated. 55 references.