National Library of Energy BETA

Sample records for gas supply model

  1. EIA model documentation: Documentation of the Oil and Gas Supply Module (OGSM)

    SciTech Connect (OSTI)

    1997-01-01

    The purpose of this report is to define the objectives of the Oil and Gas Supply Model (OGSM), to describe the model`s basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public. Projected production estimates of US crude oil and natural gas are based on supply functions generated endogenously within National Energy Modeling System (NEMS) by the OGSM. OGSM encompasses domestic crude oil and natural gas supply by both conventional and nonconventional recovery techniques. Nonconventional recovery includes enhanced oil recovery (EOR), and unconventional gas recovery (UGR) from tight gas formations, Devonian shale and coalbeds. Crude oil and natural gas projects are further disaggregated by geographic region. OGSM projects US domestic oil and gas supply for six Lower 48 onshore regions, three offshore regions, and Alaska. The general methodology relies on forecasted drilling expenditures and average drilling costs to determine exploratory and developmental drilling levels for each region and fuel type. These projected drilling levels translate into reserve additions, as well as a modification of the production capacity for each region. OGSM also represents foreign trade in natural gas, imports and exports by entry region.

  2. Natural Gas Supply in Denmark -A Model of Natural Gas Transmission and the

    E-Print Network [OSTI]

    , which describes the markets for electricity and district heat. Specifically on the demand side Foundation for Gas Market Liberalization . . . . . . . . . . . 14 2.5 District Heating of the markets of natural gas and electricity and the existence of an abundance of de-centralized combined heat

  3. Easing the Natural Gas Crisis: Reducing Natural Gas Prices Through Electricity Supply Diversification -- Testimony

    E-Print Network [OSTI]

    Wiser, Ryan

    2005-01-01

    NANGAS (North American Natural Gas Analysis System), E2020 (Modeling Forum (EMF). 2003. Natural Gas, Fuel Diversity and2003. Increasing U.S. Natural Gas Supplies: A Discussion

  4. Short-Term Energy Outlook Model Documentation: Hydrocarbon Gas Liquids Supply and Demand

    Reports and Publications (EIA)

    2015-01-01

    The hydrocarbon gas liquids (ethane, propane, butanes, and natural gasoline) module of the Short-Term Energy Outlook (STEO) model is designed to provide forecasts of U.S. production, consumption, refinery inputs, net imports, and inventories.

  5. Natural Gas Supply SBIR Program

    SciTech Connect (OSTI)

    Shoemaker, H.D.; Gwilliam, W.J.

    1995-07-01

    The Small Business Innovation Research (SBIR) program was created in 1982 by Public Law 97-219 and reauthorized in 1992 until the year 2000 by Public Law 102-564. The purposes of the new law are to (1) expand and improve the SBIR program, 2) emphasize the program`s goal of increasing private sector commercialization of technology developed through Federal R&D, (3) increase small business participation in Federal R&D, and (4) improve the Federal Government`s dissemination of information concerning the SBIR program. DOE`s SBIR pro-ram has two features that are unique. In the 1995 DOE SBIR solicitation, the DOE Fossil Energy topics were: environmental technology for natural gas, oil, and coal; advanced recovery of oil; natural gas supply; natural gas utilization; advanced coal-based power systems; and advanced fossil fuels research. The subtopics for this solicitation`s Natural Gas Supply topic are (1) drilling, completion, and stimulation; (2) low-permeability Formations; (3) delivery and storage; and (4) natural gas upgrading.

  6. Documentation of the Oil and Gas Supply Module (OGSM)

    SciTech Connect (OSTI)

    1998-01-01

    The purpose of this report is to define the objectives of the Oil and Gas Supply Model (OGSM), to describe the model`s basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public. Projected production estimates of US crude oil and natural gas are based on supply functions generated endogenously within National Energy Modeling System (NEMS) by the OGSM. OGSM encompasses domestic crude oil and natural gas supply by both conventional and nonconventional recovery techniques. Nonconventional recovery includes enhanced oil recovery (EOR), and unconventional gas recovery (UGR) from tight gas formations, Devonian/Antrim shale and coalbeds. Crude oil and natural gas projections are further disaggregated by geographic region. OGSM projects US domestic oil and gas supply for six Lower 48 onshore regions, three offshore regions, and Alaska. The general methodology relies on forecasted profitability to determine exploratory and developmental drilling levels for each region and fuel type. These projected drilling levels translate into reserve additions, as well as a modification of the production capacity for each region. OGSM also represents foreign trade in natural gas, imports and exports by entry region. Foreign gas trade may occur via either pipeline (Canada or Mexico), or via transport ships as liquefied natural gas (LNG). These import supply functions are critical elements of any market modeling effort.

  7. EIA - Natural Gas Pipeline Network - Natural Gas Supply Basins...

    Gasoline and Diesel Fuel Update (EIA)

    with selected updates U.S. Natural Gas Supply Basins Relative to Major Natural Gas Pipeline Transportation Corridors, 2008 U.S. Natural Gas Transporation Corridors out of Major...

  8. Gas supplies of interstate/natural gas pipeline companies 1989

    SciTech Connect (OSTI)

    Not Available

    1990-12-18

    This publication provides information on the interstate pipeline companies' supply of natural gas during calendar year 1989, for use by the FERC for regulatory purposes. It also provides information to other Government agencies, the natural gas industry, as well as policy makers, analysts, and consumers interested in current levels of interstate supplies of natural gas and trends over recent years. 5 figs., 18 tabs.

  9. Analysis of Restricted Natural Gas Supply Cases

    Reports and Publications (EIA)

    2004-01-01

    The four cases examined in this study have progressively greater impacts on overall natural gas consumption, prices, and supply. Compared to the Annual Energy Outlook 2004 reference case, the no Alaska pipeline case has the least impact; the low liquefied natural gas case has more impact; the low unconventional gas recovery case has even more impact; and the combined case has the most impact.

  10. The 'Supply-of-Storage' for Natural Gas in California

    E-Print Network [OSTI]

    Uria, Rocio; Williams, Jeffrey

    2005-01-01

    the Hedging Effectiveness of Natural Gas Futures. ” EnergyCommission. (2002). “Natural Gas Supply and Infrastructureand Price Dynamics in Natural Gas City Gate Markets. ”

  11. Biomass Feedstock Supply Modeling

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels Researchof Energy|Make6, 2015 Feedstock Supply and Logistics PI:

  12. Gas energy supply outlook through 2010

    SciTech Connect (OSTI)

    Kalisch, R.B.

    1986-03-01

    Late in 1984 the American Gas Association published a study by the Gas Supply Committee titled, ''The Outlook for Gas Energy Through 2010.'' This study was a joint effort by many people of the gas industry including GRI, IGT and AGA. The study observed that come 1646 Tcf of natural gas is judged to be ultimately recoverable in the US. Of this total, 665 Tcf were produced up to year-end 1984. At that time an additional 197 Tcf were categorized as proved reserves, i.e., known to exist with reasonable certainty and producible under current economic and operating conditions. An additional 784 Tcf were classified as potential supply. In short, about 60 % of the nation's ultimately recoverable resource still is available; only 40 % has been produced to data. This is a formidable gas resource for the lower-48; in 1984 the production level was about 17 Tcf; proved reserves were approximately 163 Tcf - more than nine times the 1984 production. 2 references, 2 tables.

  13. Documentation of the oil and gas supply module (OGSM)

    SciTech Connect (OSTI)

    1996-01-01

    The purpose of this report is to define the objectives of the Oil and Gas Supply Model (OGSK, to describe the model`s basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public. It is prepared in accordance with the Energy Information Administration`s (EIA) legal obligation to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, Section 57(b)(2). OGSM is a comprehensive framework with which to analyze oil and gas supply potential and related issues. Its primary function is to produce forecast of crude oil, natural gas production, and natural gas imports and exports in response to price data received endogenously (within NEMS) from the Natural Gas Transmission and Distribution Model (NGTDM) and the Petroleum Market Model (PMM). To accomplish this task, OGSM does not provide production forecasts per se, but rather parameteres for short-term domestic oil and gas production functions and natural gas import functions that reside in PMM and NGTDM.

  14. QER- Comment of Natural Gas Supply Association

    Broader source: Energy.gov [DOE]

    TO: Quadrennial Energy Review Task Force In response to the Department of Energy’s August 25, 2014 Federal Register Notice seeking input on the Quadrennial Energy Review, attached are comments from the Natural Gas Supply Association. Thank you for this opportunity to share our views on the important issue of energy infrastructure. If we can be of further assistance, please let me know. Regards,

  15. Gas supply resource planning: Accommodating IRP options. Final report, July 1994-February 1995

    SciTech Connect (OSTI)

    Hederman, W.F.; Hardy, E.F.; Manor, D.F.

    1995-03-01

    Through telephone interviews with eleven gas utilities regarding their supply planning policies and practices, three potential research activities were identified. These activities are: (1) development of a more sophisticated gas supply planning model, (2) improvements to techniques for analyzing and evaluating supply reliability, and (3) analysis of supply planning needs for potential growth markets. Although models are frequently used in supply planning, they typically are simple tools developed in-house. Despite the recognition that supply reliability is the most important factor in supply planning, there has been little analytic work on standards that recognize the costs of reliability. Analysis of the potential planning needs imposed by growth in gas cooling, power generation, and NGV loads also deserves attention. These research topics should be discussed at the forthcoming GRI Gas Supply Planning Workshop.

  16. Restricted Natural Gas Supply Case (released in AEO2005)

    Reports and Publications (EIA)

    2005-01-01

    The restricted natural gas supply case provides an analysis of the energy-economic implications of a scenario in which future gas supply is significantly more constrained than assumed in the reference case. Future natural gas supply conditions could be constrained because of problems with the construction and operation of large new energy projects, and because the future rate of technological progress could be significantly lower than the historical rate. Although the restricted natural gas supply case represents a plausible set of constraints on future natural gas supply, it is not intended to represent what is likely to happen in the future.

  17. U.S. Natural Gas Supply to 2030 Larry Hughes

    E-Print Network [OSTI]

    Hughes, Larry

    LNG Total Figure 1: U.S. natural gas supply (reference case) It should be noted that this is the reference case; the "side cases", based upon the volume of projected LNG (liquefied natural gas) imports gas supply projections for 2030 (TCF) Production Low LNG Reference High LNG Dry gas 21.99 20.83 19

  18. The growing world LP-gas supply

    SciTech Connect (OSTI)

    Hoare, M.C.

    1988-11-01

    The possible range of future (LPG) export availabilities is huge, but actual production levels depend on factors, many of which are beyond our direct control - world demand for crude oil and gas, developments in technology, and the price of both energy in general and LPG specifically. Although these factors limit some of the potential developments, a substantial increase in LPG supply is certain, and this is likely to depress its price relative to other products. Over the last few years, a dramatic expansion has taken place in the industry. From 1980 to 1987, non-Communist world production of LPG increased by close to 35%, to a total of 115 million tonnes. If this is set against the general energy scene, LPG represented 3.7% of crude oil production by weight in 1980, rising to 5.4% in 1987. This growth reflects rise in consciousness around the world of the value of the product. LPG is no longer regarded as a byproduct, which is flared or disposed of at low value, but increasingly as a co-product, and much of the growth in production has been due to the installation of tailored recovery systems. LPG markets historically developed around sources of supply, constrained by the costs of transportation. The major exceptions, of course, were the Middle East, the large exporter, and Japan, the large importer.

  19. Water supply and demand in an energy supply model

    SciTech Connect (OSTI)

    Abbey, D; Loose, V

    1980-12-01

    This report describes a tool for water and energy-related policy analysis, the development of a water supply and demand sector in a linear programming model of energy supply in the United States. The model allows adjustments in the input mix and plant siting in response to water scarcity. Thus, on the demand side energy conversion facilities can substitute more costly dry cooling systems for conventional evaporative systems. On the supply side groundwater and water purchased from irrigators are available as more costly alternatives to unappropriated surface water. Water supply data is developed for 30 regions in 10 Western states. Preliminary results for a 1990 energy demand scenario suggest that, at this level of spatial analysis, water availability plays a minor role in plant siting. Future policy applications of the modeling system are discussed including the evaluation of alternative patterns of synthetic fuels development.

  20. The impacts of technology on global unconventional gas supply 

    E-Print Network [OSTI]

    Yanty, Evi

    2009-06-02

    As energy supplies from known resources are declining, the development of new energy sources is mandatory. One reasonable source is natural gas from unconventional resources. This study focus on three types of unconventional gas resources: coalbeds...

  1. STREAMLINING THE SUPPLY CHAIN: GREENHOUSE GAS EMISSIONSAND DRY MATTER LOSSES

    E-Print Network [OSTI]

    supply chains · Dry matter, lost energy and quality changes · Focusing on: · Wood chip storage and greenhouse gas emissions from wood chip storage? · Cap layer forms on outside · Mouldy and very dampSTREAMLINING THE SUPPLY CHAIN: GREENHOUSE GAS EMISSIONSAND DRY MATTER LOSSES FROM WOOD CHIP STACKS

  2. Supplies of Natural Gas Supplemental Fuels (Annual Supply & Disposition)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan3 November 2013Additions (Million CubicYearCubic Feet) Monthly

  3. Short-term supply chain management in upstream natural gas systems

    E-Print Network [OSTI]

    Selot, Ajay

    2009-01-01

    Natural gas supply chain planning and optimization is important to ensure security and reliability of natural gas supply. However, it is challenging due to the distinctive features of natural gas supply chains. These ...

  4. Illinois Supplemental Supplies of Natural Gas

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

    20 17 1 1 * 63 1967-2014 Synthetic 0 0 1980-2014 Propane-Air 20 17 1 1 0 63 1980-2014 Refinery Gas 1980-2005 Biomass 0 0 1999-2014 Other 0 0 2005...

  5. New Jersey Supplemental Supplies of Natural Gas

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

    454 457 392 139 255 530 1967-2014 Synthetic 0 0 0 1980-2014 Propane-Air 0 0 1980-2014 Refinery Gas 1980-2005 Biomass 0 0 1993-2014 Other 454 457 392 139 255 530 1980-2014...

  6. The effect of natural gas supply on US renewable energy and CO2emissions

    E-Print Network [OSTI]

    Shearer, C; Shearer, C; Bistline, J; Inman, M; Davis, SJ; Davis, SJ

    2014-01-01

    natural gas supply on US renewable energy and CO 2 emissionsrenewable energy use compared to low supply—and the amountnatural gas supply decreased future renewable energy use and

  7. Virginia Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan3Additions (Million Cubic Feet) VirginiaYear1,124,7170 0 0 2012847

  8. Washington Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan3Additions (Million CubicYear Jan Feb Mar Apr May1.8 1.6 1.8

  9. Wisconsin Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan3Additions (Million2.8 2.6 2.7 2.7 2.9 3.0 1993-2014 Commercial

  10. Wyoming Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan3Additions (Million2.8 2.6 2.7Decade Year-0Year Jan Feb Mar1440

  11. Tennessee Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan3 November18.5 385.5 47,187.8Year Jan Feb Mar

  12. Texas Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan3 November18.5 385.5 47,187.8Year(MillionBarrels) Natural

  13. Vermont Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan3 November18.5GrossDecade Year-0489,947Thousand37,2420.1 0.1 0.1 1

  14. Nebraska Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996) in155Decade Year-0 Year-1Yearper19998 0.8

  15. Nevada Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996) in155DecadeFeet)VehicleYear8 0.8 0.9 0.90

  16. New Hampshire Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996)Price (Dollars perFeet)TotalYearper2 0.10

  17. New Jersey Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996)Price (Dollars2009TotalDecadeper4.7 4.6 4.5454

  18. New Mexico Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996)Price780 922 (MillionYear560,479149 180 1237

  19. New York Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996)Price780Year JanYear Jan Febper Thousand0

  20. North Carolina Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb MarthroughFeet) Decade Year-0(MillionFeet)(Dollars1.40

  1. North Dakota Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb MarthroughFeet)Feet) YearThousand Cubic8 1,185

  2. Ohio Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan FebCubic Feet) Year Jan Feb MarDecadeThousand Cubic0 0 0522

  3. Oregon Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan FebCubic Feet) YearYear JanFeet)0.9 0.9 1.0 1.0 0.9 0.80 0

  4. Pennsylvania Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan FebCubic Feet) AnnualProved7,018Separation0 0 0 0205 4 2 2

  5. Rhode Island Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan3 November 2013 IndependentYear Jan Feb Mar Apr May Jun4 0.4 0.40 0

  6. South Carolina Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan3 November 2013 IndependentYearFeet)Year Jan Feb Marper6 0.7* *

  7. South Dakota Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan3 November 2013Additions (Million CubicYear Jan Feb3 0.3 0.3

  8. Natural Gas Consumption (Annual Supply & Disposition)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014ProvedYear Jan FebYear Jan Feb Mar Apr

  9. Alabama Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570 2,304 1,670Same0 1 2 2 15 2007

  10. Alaska Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570Month Previous Year(Million633

  11. Arizona Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570MonthThousand8 0.8 0.8 0.6 1993-2014

  12. Arkansas Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724per Thousand Cubic Feet) Decade1 0

  13. Colorado Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul Aug Sep Oct,622,434 1,634,58742

  14. Connecticut Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions1 0 0 0 0 0 1967-2014

  15. Delaware Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions1 0Delaware2 1 0 * * 6

  16. Florida Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear Jan Feb Mar Apr May JunYearThousand Cubic2 230

  17. Georgia Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear Jan Feb Mar87.1CubicYear Jan Feb2.5 2.9 2.452

  18. Hawaii Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYear JanThousand Cubic

  19. Illinois Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYearYear Jan Febper Thousand Cubic Feet)4

  20. Indiana Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYearYear JanDecade Year-0per Thousand(Million 1 5 1

  1. Iowa Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYearYearDecade Year-0 Year-1Thousand Cubic1.5 1.43

  2. Kentucky Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012 2013 2014Thousand CubicYearThousand Cubic0 0

  3. Louisiana Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012 2013(MillionYear5,020 4,5830 249 435 553 560 517

  4. Maine Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012Decade Year-0 Year-1Total0.0 0.0 0.0 0.0 0.0

  5. Maryland Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012Decade Year-0Year Jan067,8071.7 1.8 1.7 1.7 1.770

  6. Massachusetts Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal Consumptionper Thousand Cubic2.8 2.60

  7. Michigan Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19 15 15 152009Sameper Thousand6

  8. Minnesota Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19 15 (MillionYear JanThousand Cubic847

  9. Missouri Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19FuelYear Jan Feb348,781(Million10 18

  10. Total Supplemental Supply of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight Paths30,2,8,Product:269,010Product:

  11. U.S. Natural Gas Markets: Mid-Term Prospects for Natural Gas Supply

    Reports and Publications (EIA)

    2001-01-01

    This service report describes the recent behavior of natural gas markets with respect to natural gas prices, their potential future behavior, the potential future supply contribution of liquefied natural gas and increased access to federally restricted resources, and the need for improved natural gas data.

  12. Electricity Shortage in California: Issues for Petroleum and Natural Gas Supply

    Reports and Publications (EIA)

    2001-01-01

    This report addresses the potential impact of rotating electrical outages on petroleum product and natural gas supply in California.

  13. Short-Term Supply Chain Management in Upstream Natural Gas Systems

    E-Print Network [OSTI]

    Short-Term Supply Chain Management in Upstream Natural Gas Systems by Ajay Selot Submitted Students #12;2 #12;Short-Term Supply Chain Management in Upstream Natural Gas Systems by Ajay Selot of the requirements for the degree of Doctor of Philosophy in Chemical Engineering Abstract Natural gas supply chain

  14. Strategic Planning, Design and Development of the Shale Gas Supply Chain Network

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Strategic Planning, Design and Development of the Shale Gas Supply Chain Network Diego C. Cafaro1-term planning of the shale gas supply chain is a relevant problem that has not been addressed before Shale gas, supply chain, strategic planning, MINLP, solution algorithm * Corresponding author. Tel.: +1

  15. Cost Curves for Gas Supply Security: The Case of Bulgaria

    E-Print Network [OSTI]

    Silve, Florent; Noël, Pierre

    % of contracted gas consumption could not be served by the system. As Russian imports were completely shut down on 6th January, consumption had to abruptly adjust through rationing, dropping from about 13 mcm/d to about 6 mcm/d (Kardejak, 2009, slide 51... or other energy sources. Similarly, policies in place to mitigate the risks, including emergency plans, are ignored. This is why, like Findlater and Noël (2010) did for the Baltic States, we opt for a qualitative assessment of the security of supply...

  16. The effect of natural gas supply on US renewable energy and CO2emissions

    E-Print Network [OSTI]

    Shearer, C; Shearer, C; Bistline, J; Inman, M; Davis, SJ; Davis, SJ

    2014-01-01

    leaks from North American natural gas systems Science 343of methane emissions at natural gas production sites in theThe effect of natural gas supply on US renewable energy and

  17. The effect of natural gas supply on US renewable energy and CO2emissions

    E-Print Network [OSTI]

    Shearer, C; Bistline, J; Inman, M; Davis, SJ

    2014-01-01

    standards National Renewable Energy Laboratory Technicalnatural gas supply on US renewable energy and CO 2 emissionsuse of both coal and renewable energy technologies in the

  18. The effect of natural gas supply on US renewable energy and CO2emissions

    E-Print Network [OSTI]

    Shearer, C; Shearer, C; Bistline, J; Inman, M; Davis, SJ; Davis, SJ

    2014-01-01

    state-level cost and bene?t estimates of renewable portfoliostandards National Renewable Energy Laboratory Technicalnatural gas supply on US renewable energy and CO 2 emissions

  19. The 'Supply-of-Storage' for Natural Gas in California

    E-Print Network [OSTI]

    Uria, Rocio; Williams, Jeffrey

    2005-01-01

    Natural Gas Prices and the Gas Storage Report: Public NewsAbstract: Do natural gas storage decisions in CaliforniaCHARACTERISTICS OF NATURAL GAS STORAGE FACILITIES Apart from

  20. Gas Composition and Oxygen Supply in the Root Environment of Substrates in Closed Hydroponic Systems

    E-Print Network [OSTI]

    Lieth, J. Heinrich

    299 Gas Composition and Oxygen Supply in the Root Environment of Substrates in Closed Hydroponic Abstract The objective of this study was to get more information about the root zone, mainly the gas and ethylene, a gas sampling system was used to get gas samples from the root zone. CO2 gas samples of 20 ml

  1. Short-Term Energy Outlook Model Documentation: Petroleum Products Supply Module

    Reports and Publications (EIA)

    2013-01-01

    The Petroleum Products Supply Module of the Short-Term Energy Outlook (STEO) model provides forecasts of petroleum refinery inputs (crude oil, unfinished oils, pentanes plus, liquefied petroleum gas, motor gasoline blending components, and aviation gasoline blending components) and refinery outputs (motor gasoline, jet fuel, distillate fuel, residual fuel, liquefied petroleum gas, and other petroleum products).

  2. Cover and startup gas supply system for solid oxide fuel cell generator

    DOE Patents [OSTI]

    Singh, Prabhakar (Export, PA); George, Raymond A. (Pittsburgh, PA)

    1999-01-01

    A cover and startup gas supply system for a solid oxide fuel cell power generator is disclosed. Hydrocarbon fuel, such as natural gas or diesel fuel, and oxygen-containing gas are supplied to a burner. Combustion gas exiting the burner is cooled prior to delivery to the solid oxide fuel cell. The system mixes the combusted hydrocarbon fuel constituents with hydrogen which is preferably stored in solid form to obtain a non-explosive gas mixture. The system may be used to provide both non-explosive cover gas and hydrogen-rich startup gas to the fuel cell.

  3. Cover and startup gas supply system for solid oxide fuel cell generator

    DOE Patents [OSTI]

    Singh, P.; George, R.A.

    1999-07-27

    A cover and startup gas supply system for a solid oxide fuel cell power generator is disclosed. Hydrocarbon fuel, such as natural gas or diesel fuel, and oxygen-containing gas are supplied to a burner. Combustion gas exiting the burner is cooled prior to delivery to the solid oxide fuel cell. The system mixes the combusted hydrocarbon fuel constituents with hydrogen which is preferably stored in solid form to obtain a non-explosive gas mixture. The system may be used to provide both non-explosive cover gas and hydrogen-rich startup gas to the fuel cell. 4 figs.

  4. ,"U.S. Natural Gas Monthly Supply and Disposition Balance"

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

    Monthly Supply and Disposition Balance" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  5. ,"U.S. Natural Gas Annual Supply and Disposition Balance"

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

    Annual Supply and Disposition Balance" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  6. THE MECHANICAL DESIGN OF A GAS SUPPLY AND MIXING SYSTEM FOR THE AMS-02 PARTICLE DETECTOR

    E-Print Network [OSTI]

    Roma "La Sapienza", Università di

    the gas and monitors the gas content continuously (fig.2) [1]. Two storage vessels store the xenon1 THE MECHANICAL DESIGN OF A GAS SUPPLY AND MIXING SYSTEM FOR THE AMS-02 PARTICLE DETECTOR ONBOARD 100 scientists spread all over Europe, USA and far East. The TRD that is located above the Cryomagnet

  7. GE to Invest in Penn State Center to Study Natural Gas Supply...

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

    window) GE to Invest in Penn State Center to Study Natural Gas Supply Chains University Park, Pa. - GE announced it will invest up to 10 million in Penn State to establish a new...

  8. Coke battery with 51-m{sup 3} furnace chambers and lateral supply of mixed gas

    SciTech Connect (OSTI)

    V.I. Rudyka; N.Y. Chebotarev; O.N. Surenskii; V.V. Derevich [Giprokoks, the State Institute for the Design of Coke-Industry Enterprises, Kharkov (Ukraine)

    2009-07-15

    The basic approaches employed in the construction of coke battery 11A at OAO Magnitogorskii Metallurgicheskii Kombinat are outlined. This battery includes 51.0-m{sup 3} furnaces and a dust-free coke-supply system designed by Giprokoks with lateral gas supply; it is heated exclusively by low-calorific mixed gas consisting of blast-furnace gas with added coke-oven gas. The 82 furnaces in the coke battery are divided into two blocks of 41. The gross coke output of the battery (6% moisture content) is 1140000 t/yr.

  9. Optimization Models for Shale Gas Water Management Linlin Yang

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Optimization Models for Shale Gas Water Management Linlin Yang , Jeremy Manno and Ignacio E With the advancement in directional drilling and hydraulic fracturing, shale gas is predicted to provide 46% of the United States natural gas supply by 20351 . The number of wells drilled in the Marcellus shale play has

  10. Modelling Traceability in the Forestry Wood Supply Chain

    E-Print Network [OSTI]

    Modelling Traceability in the Forestry Wood Supply Chain Antti Sirkka University of Tampere TietoEnator Forest & Energy Oy Kalevantie 4, 33014 Tampere, Finland Häkiläpolku 3 A, 33101 Tampere, Finland antti

  11. Fuel cell power supply with oxidant and fuel gas switching

    DOE Patents [OSTI]

    McElroy, James F. (Hamilton, MA); Chludzinski, Paul J. (Swampscott, MA); Dantowitz, Philip (Peabody, MA)

    1987-01-01

    This invention relates to a fuel cell vehicular power plant. Fuel for the fuel stack is supplied by a hydrocarbon (methanol) catalytic cracking reactor and CO shift reactor. A water electrolysis subsystem is associated with the stack. During low power operation part of the fuel cell power is used to electrolyze water with hydrogen and oxygen electrolysis products being stored in pressure vessels. During peak power intervals, viz, during acceleration or start-up, pure oxygen and pure hydrogen from the pressure vessel are supplied as the reaction gases to the cathodes and anodes in place of air and methanol reformate. This allows the fuel cell stack to be sized for normal low power/air operation but with a peak power capacity several times greater than that for normal operation.

  12. Fuel cell power supply with oxidant and fuel gas switching

    DOE Patents [OSTI]

    McElroy, J.F.; Chludzinski, P.J.; Dantowitz, P.

    1987-04-14

    This invention relates to a fuel cell vehicular power plant. Fuel for the fuel stack is supplied by a hydrocarbon (methanol) catalytic cracking reactor and CO shift reactor. A water electrolysis subsystem is associated with the stack. During low power operation part of the fuel cell power is used to electrolyze water with hydrogen and oxygen electrolysis products being stored in pressure vessels. During peak power intervals, viz, during acceleration or start-up, pure oxygen and pure hydrogen from the pressure vessel are supplied as the reaction gases to the cathodes and anodes in place of air and methanol reformate. This allows the fuel cell stack to be sized for normal low power/air operation but with a peak power capacity several times greater than that for normal operation. 2 figs.

  13. DOE, States Seek Closer Collaboration on Oil and Gas Supply and Delivery, Climate Change Mitigation

    Broader source: Energy.gov [DOE]

    An agreement aimed at improving cooperation and collaboration in the areas of oil and natural gas supply, delivery, and climate change mitigation, has been signed by the U.S. Department of Energy and the Interstate Oil and Gas Compact Commission (IOGCC).

  14. Worldwide Natural Gas Supply and Demand and the Outlook for Global LNG Trade

    Reports and Publications (EIA)

    1997-01-01

    This article is adapted from testimony by Jay Hakes, Administrator of the Energy Information Administration, before the Senate Energy and Natural Resources Committee on July 23, 1997. The hearing focused on the examination of certain aspects of natural gas into the next century with special emphasis on world natural gas supply and demand to 2015.

  15. Models for Supply Chains in E-Business Jayashankar M. Swaminathan Sridhar R. Tayur

    E-Print Network [OSTI]

    Swaminathan, Jayashankar M.

    Models for Supply Chains in E-Business Jayashankar M. Swaminathan · Sridhar R. Tayur Kenan with a discussion on future modeling opportunities in this area. (Supply Chain Management; Electronic Business on supply chain management makes the study of supply chain models in e-business timely and important. Supply

  16. Easing the Natural Gas Crisis: Reducing Natural Gas Prices Through Electricity Supply Diversification -- Testimony

    E-Print Network [OSTI]

    Wiser, Ryan

    2005-01-01

    present concerns about natural gas prices and the findingsEconomy (ACEEE). 2003. Natural Gas Price Effects of EnergyGas Crisis: Reducing Natural Gas Prices Through Electricity

  17. The Research Path to Determining the Natural Gas Supply Potential of Marine Gas Hydrates

    SciTech Connect (OSTI)

    Boswell, R.M.; Rose, K.K.; Baker, R.C.

    2008-06-01

    A primary goal of the U.S. National Interagency Gas Hydrates R&D program is to determine the natural gas production potential of marine gas hydrates. In pursuing this goal, four primary areas of effort are being conducted in parallel. First, are wide-ranging basic scientific investigations in both the laboratory and in the field designed to advance the understanding of the nature and behavior of gas hydrate bearing sediments (GHBS). This multi-disciplinary work has wide-ranging direct applications to resource recovery, including assisting the development of exploration and production technologies through better rock physics models for GHBS and also in providing key data for numerical simulations of productivity, reservoir geomechanical response, and other phenomena. In addition, fundamental science efforts are essential to developing a fuller understanding of the role gas hydrates play in the natural environment and the potential environmental implications of gas hydrate production, a critical precursor to commercial extraction. A second area of effort is the confirmation of resource presence and viability via a series of multi-well marine drilling expeditions. The collection of data in the field is essential to further clarifying what proportion of the likely immense in-place marine gas hydrate resource exists in accumulations of sufficient quality to represent potential commercial production prospects. A third research focus area is the integration of geologic, geophysical, and geochemical field data into an effective suite of exploration tools that can support the delineation and characterization commercial gas hydrate prospects prior to drilling. The fourth primary research focus is the development and testing of well-based extraction technologies (including drilling, completion, stimulation and production) that can safely deliver commercial gas production rates from gas hydrate reservoirs in a variety of settings. Initial efforts will take advantage of the relatively favorable economics of conducting production tests in Arctic gas-hydrate bearing sandstones with the intent of translating the knowledge gained to later testing in marine sandstone reservoirs. The full and concurrent pusuit of each of these research topics is essential to the determining the future production potential of naturally-occuring gas hydrates.

  18. Limited Electricity Generation Supply and Limited Natural Gas Supply Cases (released in AEO2008)

    Reports and Publications (EIA)

    2008-01-01

    Development of U.S. energy resources and the permitting and construction of large energy facilities have become increasingly difficult over the past 20 years, and they could become even more difficult in the future. Growing public concern about global warming and CO2 emissions also casts doubt on future consumption of fossil fuels -- particularly coal, which releases the largest amount of CO2 per unit of energy produced. Even without regulations to limit greenhouse gas emissions in the United States, the investment community may already be limiting the future use of some energy options. In addition, there is considerable uncertainty about the future availability of, and access to, both domestic and foreign natural gas resources.

  19. AEO2012 Preliminary Assumptions: Oil and Gas Supply

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers THURSDAY, August 27, 20123 Oil and Gas

  20. Modelling the South African fresh fruit export supply chain

    E-Print Network [OSTI]

    van Vuuren, Jan H.

    Modelling the South African fresh fruit export supply chain Frank Gerald Ortmann Thesis presented university for a degree. Signature: Date: #12;#12;Abstract The process of modelling the fruit export, numerous aspects of the export process are considered in this thesis so as to be able to perform

  1. Office of Oil, Gas, and Coal Supply Statistics

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3 Year-4Barrels)(Dollars2.PDF Office3 Office

  2. Office of Oil, Gas, and Coal Supply Statistics

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3 Year-4Barrels)(Dollars2.PDF Office3

  3. U.S. Natural Gas Annual Supply and Disposition Balance

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData2009 2010 2011 2012 2013Year JanDeliveriesArea:

  4. District of Columbia Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions1-- -- -- --

  5. Documentation of the Oil and Gas Supply Module

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions1-- -- -- --WO R K I N G PA

  6. Documentation of the Oil and Gas Supply Module

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions1-- -- -- --WO R K I N G PA6)

  7. Documentation of the Oil and Gas Supply Module (OGSM)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions1-- -- -- --WO R K I N G

  8. Interstate Deliveries of Natural Gas (Annual Supply & Disposition)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYearYear JanDecadeper Thousand Cubic

  9. Interstate Receipts of Natural Gas (Annual Supply & Disposition)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr MayYearYear JanDecadeper Thousand Cubic362,054

  10. Favorable Supplies, Costs, Environmental Profile for Natural Gas Revealed

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann JacksonDepartment ofOffice ofofWindUpcoming events intheSafety ProgramsNaturalThis

  11. U.S. Natural Gas Monthly Supply and Disposition Balance

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers inYear Jan Feb Mar AprYear

  12. Gas Kick Mechanistic Model 

    E-Print Network [OSTI]

    Zubairy, Raheel

    2014-04-18

    Gas kicks occur during drilling when the formation pressure is greater than the wellbore pressure causing influx of gas into the wellbore. Uncontrolled gas kicks could result in blowout of the rig causing major financial ...

  13. Modelling the South African fresh fruit export supply chain

    E-Print Network [OSTI]

    van Vuuren, Jan H.

    Modelling the South African fresh fruit export supply chain Frank Gerald Ortmann Thesis presented export infrastructure capacity of South Africa formed part of a larger project called the ``Fruit industry into perspective, numerous aspects of the export process are considered in this thesis so

  14. Simultaneous Production and Distribution of Industrial Gas Supply-Chains Pablo A. Marchetti1

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    include production modes and rates that determine power consumption. Distribution decisions involve sourceSimultaneous Production and Distribution of Industrial Gas Supply-Chains Pablo A. Marchetti1. The objective is to minimize the total cost of production and distribution of liquid products by coordinating

  15. Miscellaneous: Uruguay energy supply options study assessing the market for natural gas - executive summary.

    SciTech Connect (OSTI)

    Conzelmann, G.; Veselka, T.; Decision and Information Sciences

    2008-03-04

    Uruguay is in the midst of making critical decisions affecting the design of its future energy supply system. Momentum for change is expected to come from several directions, including recent and foreseeable upgrades and modifications to energy conversion facilities, the importation of natural gas from Argentina, the possibility for a stronger interconnection of regional electricity systems, the country's membership in MERCOSUR, and the potential for energy sector reforms by the Government of Uruguay. The objective of this study is to analyze the effects of several fuel diversification strategies on Uruguay's energy supply system. The analysis pays special attention to fuel substitution trends due to potential imports of natural gas via a gas pipeline from Argentina and increasing electricity ties with neighboring countries. The Government of Uruguay has contracted with Argonne National Laboratory (ANL) to study several energy development scenarios with the support of several Uruguayan institutions. Specifically, ANL was asked to conduct a detailed energy supply and demand analysis, develop energy demand projections based on an analysis of past energy demand patterns with support from local institutions, evaluate the effects of potential natural gas imports and electricity exchanges, and determine the market penetration of natural gas under various scenarios.

  16. Supply Chain Performance Assessment and Supplier and Component Importance Identification General Competitive Multitiered Supply Chain Network Model

    E-Print Network [OSTI]

    Nagurney, Anna

    Supply Chain Performance Assessment and Supplier and Component Importance Identification competitive supply chain network game theory model, which includes the supplier tier. The firms components from one or more suppliers, who also are capacitated. The firms compete in a Cournot-Nash fashion

  17. Contributions Motivation Literature Models Synergy Measure Numerical Examples Conclusions Supply Chain Network Models for Humanitarian

    E-Print Network [OSTI]

    Nagurney, Anna

    Contributions Motivation Literature Models Synergy Measure Numerical Examples Conclusions Supply Motivation Literature Models Synergy Measure Numerical Examples Conclusions 1 Contributions 2 Motivation 3 University of Massachusetts Amherst #12;Contributions Motivation Literature Models Synergy Measure Numerical

  18. Background and Motivation Literature The Model Examples Summary Sustainable Supply Chain Network Design

    E-Print Network [OSTI]

    Nagurney, Anna

    Background and Motivation Literature The Model Examples Summary Sustainable Supply Chain Network and Motivation Literature The Model Examples Summary Acknowledgments The first author's research was supported Sustainable Supply Chain Network Design #12;Background and Motivation Literature The Model Examples Summary

  19. Air/fuel supply system for use in a gas turbine engine

    SciTech Connect (OSTI)

    Fox, Timothy A; Schilp, Reinhard; Gambacorta, Domenico

    2014-06-17

    A fuel injector for use in a gas turbine engine combustor assembly. The fuel injector includes a main body and a fuel supply structure. The main body has an inlet end and an outlet end and defines a longitudinal axis extending between the outlet and inlet ends. The main body comprises a plurality of air/fuel passages extending therethrough, each air/fuel passage including an inlet that receives air from a source of air and an outlet. The fuel supply structure communicates with and supplies fuel to the air/fuel passages for providing an air/fuel mixture within each air/fuel passage. The air/fuel mixtures exit the main body through respective air/fuel passage outlets.

  20. Uncertainties in Life Cycle Greenhouse Gas Emissions from Advanced Biomass Feedstock Logistics Supply Chains in Kansas

    SciTech Connect (OSTI)

    Cafferty, Kara G.; Searcy, Erin M.; Nguyen, Long; Spatari, Sabrina

    2014-11-01

    To meet Energy Independence and Security Act (EISA) cellulosic biofuel mandates, the United States will require an annual domestic supply of about 242 million Mg of biomass by 2022. To improve the feedstock logistics of lignocellulosic biofuels and access available biomass resources from areas with varying yields, commodity systems have been proposed and designed to deliver on-spec biomass feedstocks at preprocessing “depots”, which densify and stabilize the biomass prior to long-distance transport and delivery to centralized biorefineries. The harvesting, preprocessing, and logistics (HPL) of biomass commodity supply chains thus could introduce spatially variable environmental impacts into the biofuel life cycle due to needing to harvest, move, and preprocess biomass from multiple distances that have variable spatial density. This study examines the uncertainty in greenhouse gas (GHG) emissions of corn stover logisticsHPL within a bio-ethanol supply chain in the state of Kansas, where sustainable biomass supply varies spatially. Two scenarios were evaluated each having a different number of depots of varying capacity and location within Kansas relative to a central commodity-receiving biorefinery to test GHG emissions uncertainty. Monte Carlo simulation was used to estimate the spatial uncertainty in the HPL gate-to-gate sequence. The results show that the transport of densified biomass introduces the highest variability and contribution to the carbon footprint of the logistics HPL supply chain (0.2-13 g CO2e/MJ). Moreover, depending upon the biomass availability and its spatial density and surrounding transportation infrastructure (road and rail), logistics HPL processes can increase the variability in life cycle environmental impacts for lignocellulosic biofuels. Within Kansas, life cycle GHG emissions could range from 24 to 41 g CO2e/MJ depending upon the location, size and number of preprocessing depots constructed. However, this range can be minimized through optimizing the siting of preprocessing depots where ample rail infrastructure exists to supply biomass commodity to a regional biorefinery supply system

  1. Model Reduction of Turbulent Fluid Flows Using the Supply Rate

    E-Print Network [OSTI]

    Sharma, A S

    2013-01-01

    A method for finding reduced-order approximations of turbulent flow models is presented. The method preserves bounds on the production of turbulent energy in the sense of the $\\curly{L}_2$ norm of perturbations from a notional laminar profile. This is achieved by decomposing the Navier-Stokes system into a feedback arrangement between the linearised system and the remaining, normally neglected, nonlinear part. The linear system is reduced using a method similar to balanced truncation, but preserving bounds on the supply rate. The method involves balancing two algebraic Riccati equations. The bounds are then used to derive bounds on the turbulent energy production. An example of the application of the procedure to flow through a long straight pipe is presented. Comparison shows that the new method approximates the supply rate at least as well as, or better than, canonical balanced truncation.

  2. Assumption to the Annual Energy Outlook 2014 - Oil and Gas Supply Module

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (BillionProved Reserves (BillionTechnical InformationDecade Year-0 2Market ModuleOil and Gas Supply

  3. A Multi-Objective, Hub-and-Spoke Supply Chain Design Model For Densified Biomass

    SciTech Connect (OSTI)

    Md S. Roni; Sandra Eksioglu; Kara G. Cafferty

    2014-06-01

    In this paper we propose a model to design the supply chain for densified biomass. Rail is typically used for long-haul, high-volume shipment of densified biomass. This is the reason why a hub-and-spoke network structure is used to model this supply chain. The model is formulated as a multi-objective, mixed-integer programing problem under economic, environmental, and social criteria. The goal is to identify the feasibility of meeting the Renewable Fuel Standard (RFS) by using biomass for production of cellulosic ethanol. The focus in not just on the costs associated with meeting these standards, but also exploring the social and environmental benefits that biomass production and processing offers by creating new jobs and reducing greenhouse gas (GHG) emissions. We develop an augmented ?-constraint method to find the exact Pareto solution to this optimization problem. We develop a case study using data from the Mid-West. The model identifies the number, capacity and location of biorefineries needed to make use of the biomass available in the region. The model estimates the delivery cost of cellulosic ethanol under different scenario, the number new jobs created and the GHG emission reductions in the supply chain.

  4. A Multi-Objective, Hub-and-Spoke Supply Chain Design Model for Densified Biomass

    SciTech Connect (OSTI)

    Jacob J. Jacobson; Md. S. Roni; Kara G. Cafferty; Sandra D. Eksioglu

    2014-06-01

    In this paper we propose a model to design the supply chain for densified biomass. Rail is typically used for longhaul, high-volume shipment of densified biomass. This is the reason why a hub-and-spoke network structure is used to model this supply chain. The model is formulated as a multi-objective, mixed-integer programing problem under economic, environmental, and social criteria. The goal is to identify the feasibility of meeting the Renewable Fuel Standard (RFS) by using biomass for production of cellulosic ethanol. The focus is not just on the costs associated with meeting these standards, but also exploring the social and environmental benefits that biomass production and processing offers by creating new jobs and reducing greenhouse gas (GHG) emissions. We develop an augmented ?-constraint method to find the exact Pareto solution to this optimization problem. We develop a case study using data from the Mid-West. The model identifies the number, capacity and location of biorefineries needed to make use of the biomass available in the region. The model estimates the delivery cost of cellulosic ethanol under different scenario, the number new jobs created and the GHG emission reductions in the supply chain.

  5. Benefits of Greenhouse Gas Mitigation on the Supply, Management, and Use of Water Resources in the United States

    SciTech Connect (OSTI)

    Strzepek, K.; Neumann, Jim; Smith, Joel; Martinich, Jeremy; Boehlert, Brent; Hejazi, Mohamad I.; Henderson, Jim; Wobus, Cameron; Jones, Russ; Calvin, Katherine V.; Johnson, D.; Monier, Erwan; Strzepek, J.; Yoon, Jin-Ho

    2014-11-29

    Climate change impacts on water resources in the U.S. are likely to be far-reaching and substantial, because the water sector spans many parts of the economy, from supply and demand for agriculture, industry, energy production, transportation and municipal use to damages from natural hazards. This paper provides impact and damage estimates from five water resource-related models in the CIRA frame work, addressing drought risk, flooding damages, water supply and demand, and global water scarcity. The four models differ in the water system assessed, their spatial scale, and the units of assessment, but together they provide a quantitative and descriptive richness in characterizing water resource sector effects of climate change that no single model can capture. The results also address the sensitivity of these estimates to greenhouse gas emission scenarios, climate sensitivity alternatives, and global climate model selection. While calculating the net impact of climate change on the water sector as a whole may be impractical, because each of the models applied here uses a consistent set of climate scenarios, broad conclusions can be drawn regarding the patterns of change and the benefits of GHG mitigation policies for the water sector. Two key findings emerge: 1) climate mitigation policy substantially reduces the impact of climate change on the water sector across multiple dimensions; and 2) the more managed the water resources system, the more tempered the climate change impacts and the resulting reduction of impacts from climate mitigation policies.

  6. Benefits of Greenhouse Gas Mitigation on the Supply, Management, and Use of Water Resources in the United States

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

    Strzepek, K.; Neumann, Jim; Smith, Joel; Martinich, Jeremy; Boehlert, Brent; Hejazi, Mohamad I.; Henderson, Jim; Wobus, Cameron; Jones, Russ; Calvin, Katherine V.; et al

    2014-11-29

    Climate change impacts on water resources in the U.S. are likely to be far-reaching and substantial, because the water sector spans many parts of the economy, from supply and demand for agriculture, industry, energy production, transportation and municipal use to damages from natural hazards. This paper provides impact and damage estimates from five water resource-related models in the CIRA frame work, addressing drought risk, flooding damages, water supply and demand, and global water scarcity. The four models differ in the water system assessed, their spatial scale, and the units of assessment, but together they provide a quantitative and descriptive richnessmore »in characterizing water resource sector effects of climate change that no single model can capture. The results also address the sensitivity of these estimates to greenhouse gas emission scenarios, climate sensitivity alternatives, and global climate model selection. While calculating the net impact of climate change on the water sector as a whole may be impractical, because each of the models applied here uses a consistent set of climate scenarios, broad conclusions can be drawn regarding the patterns of change and the benefits of GHG mitigation policies for the water sector. Two key findings emerge: 1) climate mitigation policy substantially reduces the impact of climate change on the water sector across multiple dimensions; and 2) the more managed the water resources system, the more tempered the climate change impacts and the resulting reduction of impacts from climate mitigation policies.« less

  7. MODEL BASED BIOMASS SYSTEM DESIGN OF FEEDSTOCK SUPPLY SYSTEMS FOR BIOENERGY PRODUCTION

    SciTech Connect (OSTI)

    David J. Muth, Jr.; Jacob J. Jacobson; Kenneth M. Bryden

    2013-08-01

    Engineering feedstock supply systems that deliver affordable, high-quality biomass remains a challenge for the emerging bioenergy industry. Cellulosic biomass is geographically distributed and has diverse physical and chemical properties. Because of this feedstock supply systems that deliver cellulosic biomass resources to biorefineries require integration of a broad set of engineered unit operations. These unit operations include harvest and collection, storage, preprocessing, and transportation processes. Design decisions for each feedstock supply system unit operation impact the engineering design and performance of the other system elements. These interdependencies are further complicated by spatial and temporal variances such as climate conditions and biomass characteristics. This paper develops an integrated model that couples a SQL-based data management engine and systems dynamics models to design and evaluate biomass feedstock supply systems. The integrated model, called the Biomass Logistics Model (BLM), includes a suite of databases that provide 1) engineering performance data for hundreds of equipment systems, 2) spatially explicit labor cost datasets, and 3) local tax and regulation data. The BLM analytic engine is built in the systems dynamics software package PowersimTM. The BLM is designed to work with thermochemical and biochemical based biofuel conversion platforms and accommodates a range of cellulosic biomass types (i.e., herbaceous residues, short- rotation woody and herbaceous energy crops, woody residues, algae, etc.). The BLM simulates the flow of biomass through the entire supply chain, tracking changes in feedstock characteristics (i.e., moisture content, dry matter, ash content, and dry bulk density) as influenced by the various operations in the supply chain. By accounting for all of the equipment that comes into contact with biomass from the point of harvest to the throat of the conversion facility and the change in characteristics, the BLM evaluates economic performance of the engineered system, as well as determining energy consumption and green house gas performance of the design. This paper presents a BLM case study delivering corn stover to produce cellulosic ethanol. The case study utilizes the BLM to model the performance of several feedstock supply system designs. The case study also explores the impact of temporal variations in climate conditions to test the sensitivity of the engineering designs. Results from the case study show that under certain conditions corn stover can be delivered to the cellulosic ethanol biorefinery for $35/dry ton.

  8. Bianchi Models with Chaplygin Gas

    E-Print Network [OSTI]

    Gülçin; Uluyazi; Özgür Sevinc

    2012-09-13

    Einstein Gravitational Field Equations (EFE) of Chaplygin gas dominated Bianchi-type models are obtained by using metric approximation. The solutions of equations for a special case, namely Bianchi I model which is a generalization of isotropic Friedmann-Robertson-Walker (FRW) cosmology, are obtained. The early and late behaviours of some kinematic parameters in model are presented in graphically.

  9. Model documentation: Natural gas transmission and distribution model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1995-02-17

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of integrated Analysis and Forecasting of the Energy information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The methodology employed allows the analysis of impacts of regional capacity constraints in the interstate natural gas pipeline network and the identification of pipeline capacity expansion requirements. There is an explicit representation of core and noncore markets for natural gas transmission and distribution services, and the key components of pipeline tariffs are represented in a pricing algorithm. Natural gas pricing and flow patterns are derived by obtaining a market equilibrium across the three main elements of the natural gas market: the supply element, the demand element, and the transmission and distribution network that links them. The NGTDM consists of four modules: the Annual Flow Module, the Capacity F-expansion Module, the Pipeline Tariff Module, and the Distributor Tariff Module. A model abstract is provided in Appendix A.

  10. A Supply Chain Network Economy: Modeling and Qualitative Analysis Ding Zhang and June Dong

    E-Print Network [OSTI]

    Nagurney, Anna

    A Supply Chain Network Economy: Modeling and Qualitative Analysis Ding Zhang and June Dong School a general network model for a supply chain economy since it is now recognized that when it comes. This chapter is organized as follows. In Section 2, we introduce the concept of a supply chain economy

  11. Impact of Natural Gas Price Decontrol on Gas Supply, Demand and Prices 

    E-Print Network [OSTI]

    Schlesinger, B.

    1982-01-01

    .G.A.), as well as studies by the U.S. Department of Energy and other groups, concur in the important finding that natural gas will be able to compete with alternate fuels in the energy marketplace after decontrol, as long as indefinite price escalators and other...

  12. KEY DESIGN REQUIREMENTS FOR THE HIGH TEMPERATURE GAS-COOLED REACTOR NUCLEAR HEAT SUPPLY SYSTEM

    SciTech Connect (OSTI)

    L.E. Demick

    2010-09-01

    Key requirements that affect the design of the high temperature gas-cooled reactor nuclear heat supply system (HTGR-NHSS) as the NGNP Project progresses through the design, licensing, construction and testing of the first of a kind HTGR based plant are summarized. These requirements derive from pre-conceptual design development completed to-date by HTGR Suppliers, collaboration with potential end users of the HTGR technology to identify energy needs, evaluation of integration of the HTGR technology with industrial processes and recommendations of the NGNP Project Senior Advisory Group.

  13. Supply chain design: a conceptual model and tactical simulations 

    E-Print Network [OSTI]

    Brann, Jeremy Matthew

    2009-05-15

    In current research literature, supply chain management (SCM) is a hot topic breaching the boundaries of many academic disciplines. SCM-related work can be found in the relevant literature for many disciplines. Supply chain ...

  14. Defining new business models for the mobile device supply chain

    E-Print Network [OSTI]

    Xu, Ethan Y

    2012-01-01

    Mobile device companies typically manage supply and pricing for components that are used in production by their Vertical Integrators (VIs). By controlling the component pricing and supply chain, mobile device companies are ...

  15. Model for Energy Supply System Alternatives and their General...

    Open Energy Info (EERE)

    energy supply security, energy resource utilization, rate of introduction of new technologies (technology learning), environmental constraints, etc." References ...

  16. Factors that will influence oil and gas supply and demand in the 21st century

    SciTech Connect (OSTI)

    Holditch, S.A.; Chianelli, R.R.

    2008-04-15

    A recent report published by the National Petroleum Council (NPC) in the United States predicted a 50-60% growth in total global demand for energy by 2030. Because oil, gas, and coal will continue to be the primary energy sources during this time, the energy industry will have to continue increasing the supply of these fuels to meet this increasing demand. Achieving this goal will require the exploitation of both conventional and unconventional reservoirs of oil and gas in (including coalbed methane) an environmentally acceptable manner. Such efforts will, in turn, require advancements in materials science, particularly in the development of materials that can withstand high-pressure, high-temperature, and high-stress conditions.

  17. Gas Hydrate: A Realistic Future Source of Gas Supply? | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nA Guide to Tapping intoandMinimal Cost2-95)LETTEREnergy

  18. EIA - Natural Gas Pipeline Network - Natural Gas Supply Basins Relative to

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1 Table272/S TheEnergyEnergyMapExpansionMajor

  19. Exact solutions in a model of vertical gas migration

    E-Print Network [OSTI]

    Silin, Dmitriy B.; Patzek, Tad W.; Benson, Sally M.

    2006-01-01

    gas leaking from seasonal gas storage, or for modeling ofmigration resulting from a gas storage leak, the gas ?owsof gas, created by a leaking gas storage reservoir, migrates

  20. A Dynamic Supply-Demand Model for Electricity Prices Manuela Buzoianu

    E-Print Network [OSTI]

    A Dynamic Supply-Demand Model for Electricity Prices Manuela Buzoianu , Anthony E. Brockwell to as a dynamic supply-demand model, to simultaneously capture electricity price and usage time series. This model, and Duane J. Seppi Abstract We introduce a new model for electricity prices, based on the principle

  1. Estimating U.S. Methane Emissions from the Natural Gas Supply Chain. Approaches, Uncertainties, Current Estimates, and Future Studies

    SciTech Connect (OSTI)

    Heath, Garvin; Warner, Ethan; Steinberg, Daniel; Brandt, Adam

    2015-08-01

    A growing number of studies have raised questions regarding uncertainties in our understanding of methane (CH4) emissions from fugitives and venting along the natural gas (NG) supply chain. In particular, a number of measurement studies have suggested that actual levels of CH4 emissions may be higher than estimated by EPA" tm s U.S. GHG Emission Inventory. We reviewed the literature to identify the growing number of studies that have raised questions regarding uncertainties in our understanding of methane (CH4) emissions from fugitives and venting along the natural gas (NG) supply chain.

  2. Modeling Structural Changes in Market Demand and Supply 

    E-Print Network [OSTI]

    Park, Beom Su

    2011-10-21

    Economic events may cause structural changes in markets. To know the effect of the economic event we should analyze the structural changes in the market demand and supply. The purpose of this dissertation is to analyze the ...

  3. Models for Mitigating Supply Chain Disruptions Lawrence V. Snyder

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    and Rita (2005) Bird-flu pandemic (???) 2 Focus on lean supply chain management aka just-in-time (JIT), etc "Manufacturing" firms may actually manufacture very little Instead, they assemble components that are made

  4. Analyzing water supply in future energy systems using the TIMES Integrated Assessment Model (TIAM-FR)

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Analyzing water supply in future energy systems using the TIMES Integrated Assessment Model (TIAM Mathematics, MINES ParisTech Sophia Antipolis, France ABSTRACT Even though policies related to water is required to maintain water supplies while water is essential to produce energy. However, the models

  5. Risk Management for a Global Supply Chain Planning under Uncertainty: Models and Algorithms

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Risk Management for a Global Supply Chain Planning under Uncertainty: Models and Algorithms Fengqi In this paper we consider the risk management for mid-term planning of a global multi-product chemical supply solve the resulting large scale industrial size problems. We also introduce risk management models

  6. Development of a natural Gas Systems Analysis Model (GSAM)

    SciTech Connect (OSTI)

    Godec, M.; Haas, M.; Pepper, W.; Rose, J.

    1993-12-31

    Recent dramatic changes in natural gas markets have significant implications for the scope and direction of DOE`s upstream as well as downstream natural gas R&D. Open access transportation changes the way gas is bought and sold. The end of the gas deliverability surplus requires increased reserve development above recent levels. Increased gas demand for power generation and other new uses changes the overall demand picture in terms of volumes, locations and seasonality. DOE`s Natural Gas Strategic Plan requires that its R&D activities be evaluated for their ability to provide adequate supplies of reasonably priced gas. Potential R&D projects are to be evaluated using a full fuel cycle, benefit-cost approach to estimate likely market impact as well as technical success. To assure R&D projects are evaluated on a comparable basis, METC has undertaken the development of a comprehensive natural gas technology evaluation framework. Existing energy systems models lack the level of detail required to estimate the impact of specific upstream natural gas technologies across the known range of geological settings and likely market conditions. Gas Systems Analysis Model (GSAM) research during FY 1993 developed and implemented this comprehensive, consistent natural gas system evaluation framework. Rather than a isolated research activity, however, GSAM represents the integration of many prior and ongoing natural gas research efforts. When complete, it will incorporate the most current resource base description, reservoir modeling, technology characterization and other geologic and engineering aspects developed through recent METC and industry gas R&D programs.

  7. Implications of High Renewable Electricity Penetration in the U.S. for Water Use, Greenhouse Gas Emissions, Land-Use, and Materials Supply

    Broader source: Energy.gov [DOE]

    Recent work found that renewable energy could supply 80% of electricity demand in the contiguous United States in 2050 at the hourly level. This paper explores some of the implications of achieving such high levels of renewable electricity for supply chains and the environment in scenarios with renewable supply up to such levels. Transitioning to high renewable electricity supply would lead to significant reductions in greenhouse gas emissions and water use, with only modest land-use implications. While renewable energy expansion implies moderate growth of the renewable electricity supply chains, no insurmountable long-term constraints to renewable electricity technology manufacturing capacity or materials supply are identified.

  8. Modeling EU electricity market competition using the residual supply index

    SciTech Connect (OSTI)

    Swinand, Gregory; Scully, Derek; Ffoulkes, Stuart; Kessler, Brian

    2010-11-15

    An econometric approach to related hourly Residual Supply Index to price-cost margins in the major EU electricity generation markets suggests that market structure, as measured by the RSI, is a significant explanatory factor for markups, even when scarcity and other explanatory variables are included. (author)

  9. A Stochastic Unit Commitment Model for Integrating Renewable Supply

    E-Print Network [OSTI]

    Oren, Shmuel S.

    from the large-scale integration of renewable energy sources and deferrable demand in power systems. We introduced by renewable energy supply. A fully decentralized approach for coordinating demand response is coupling the operations of renewable resources with deferrable demand. The motivation of coupling renewable

  10. Can Deployment of Renewable Energy and Energy Efficiency Put Downward Pressure on Natural Gas Prices

    E-Print Network [OSTI]

    Wiser, Ryan; Bolinger, Mark

    2005-01-01

    Supply Models of Natural Gas. ” The Bell Journal ofCalifornia’s Reliance on Natural Gas. Santa Monica, Calif. :Modeling Forum (EMF). 2003. Natural Gas, Fuel Diversity and

  11. Medical Nuclear Supply Chain Design: A Tractable Network Model and Computational

    E-Print Network [OSTI]

    Nagurney, Anna

    importance of considering waste management. Anna Nagurney and Ladimer S. Nagurney Medical Nuclear SupplyMedical Nuclear Supply Chain Design: A Tractable Network Model and Computational Approach Anna Nagurney1 and Ladimer S. Nagurney2 1John F. Smith Memorial Professor - Isenberg School of Management

  12. Modeling Generator Power Plant Portfolios and Pollution Taxes Electric Power Supply Chain Networks

    E-Print Network [OSTI]

    Nagurney, Anna

    Modeling Generator Power Plant Portfolios and Pollution Taxes in Electric Power Supply Chain in their power plants. This paper proposes significant extensions to the electric power supply chain network generators faced with a portfolio of power plant options and subject to pollution taxes. We then demonstrate

  13. Modeling of Supply Chain Risk Under Disruptions with Performance Measurement and Robustness Analysis

    E-Print Network [OSTI]

    Nagurney, Anna

    . The model formulation captures supply- side risk as well as demand-side risk, along with uncertainty supply-side disruption risks, transportation and other cost risks, and demand-side uncertainty within, the focus of research has been on "demand-side" risk, which is related to fluctuations in the demand

  14. Perishable Product Supply Chains in Health Care: Models, Analysis, and Computations

    E-Print Network [OSTI]

    Nagurney, Anna

    of Management University of Massachusetts Amherst, Massachusetts 01003 Royal Institute of Technology -- KTH On In This Talk The Pharmaceutical Industry and Issues A Generalized Network Oligopoly Model for Pharmaceutical Product Supply Chains #12;The Pharmaceutical Industry and Issues Anna Nagurney Perishable Product Supply

  15. Perishable Product Supply Chains in Health Care: Models, Analysis, and Computations

    E-Print Network [OSTI]

    Nagurney, Anna

    of Management University of Massachusetts Amherst, Massachusetts 01003 Chalmers University of Technology On In This Talk The Pharmaceutical Industry and Issues A Generalized Network Oligopoly Model for Pharmaceutical Product Supply Chains #12;The Pharmaceutical Industry and Issues Anna Nagurney Perishable Product Supply

  16. A discussion of greenhouse gas emission tradeoffs and water scarcity within the supply chain

    E-Print Network [OSTI]

    Reich-Weiser, Corinne; Dornfeld, David

    2009-01-01

    Updated state-level greenhouse gas emission coefficients forDA. A discussion of greenhouse gas emission tradeoffs andpaper A discussion of greenhouse gas emission tradeoffs and

  17. Outline Introduction Literature Review Electric Power Supply Chains Empirical Examples Conclusions An Integrated Electric Power Supply Chain and Fuel Market

    E-Print Network [OSTI]

    Nagurney, Anna

    An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling with Empirical Supply Chains and Fuel Markets In the U.S., electric power generation accounts for 30% of the natural gas Supply Chains and Fuel Markets (Cont'd) The interactions between electric power supply chains and fuel

  18. Modeling Leaking Gas Plume Migration

    E-Print Network [OSTI]

    Silin, Dmitriy; Patzek, Tad; Benson, Sally M.

    2008-01-01

    GAS PLUME MIGRATION t = 64.0 [day] Depth [m] Depth [m] t =GAS PLUME MIGRATION t = 160.0 [day] Depth [m] Depth [m] t =

  19. The effect of natural gas supply on US renewable energy and CO2emissions

    E-Print Network [OSTI]

    Shearer, C; Bistline, J; Inman, M; Davis, SJ

    2014-01-01

    supply decreased future renewable energy use and increasedand renewable energy technologies in the future. Without afuture decreases in solar energy prices will affect the level of renewable

  20. Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1998-01-01

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. Subsequent chapters of this report provide: an overview of NGTDM; a description of the interface between the NEMS and NGTDM; an overview of the solution methodology of the NGTDM; the solution methodology for the Annual Flow Module; the solution methodology for the Distributor Tariff Module; the solution methodology for the Capacity Expansion Module; the solution methodology for the Pipeline Tariff Module; and a description of model assumptions, inputs, and outputs.

  1. Production Cost Modeling of Cogenerators in an Interconnected Electric Supply System 

    E-Print Network [OSTI]

    Ragsdale, K.

    1989-01-01

    of various electric supply system configurations necessary to appropriately model the present and future cogeneration activity in the service areas of the electric utilities that compose the Electric Reliability Council of Texas (ERCOT)....

  2. Modeling and mapping of MaeLa refugee camp water supply

    E-Print Network [OSTI]

    Rahimi, Navid

    2008-01-01

    This thesis describes the development and use of a model, using the EPANET computer code, to simulate the three-hour intermittent MaeLa refugee camp water supply. In coordination with Aide Medicale Internationale, a field ...

  3. Gas ejector modeling for design and analysis 

    E-Print Network [OSTI]

    Liao, Chaqing

    2009-05-15

    A generalized ejector model was successfully developed for gas ejector design and performance analysis. Previous 1-D analytical models can be derived from this new comprehensive model as particular cases. For the first ...

  4. Supply Chain Management and Economic Valuation of Real Options in the Natural Gas

    E-Print Network [OSTI]

    Sadeh, Norman M.

    options in the natural gas and liquefied natural gas (LNG) industry, including gas pipeline transportation, ocean LNG shipping logistics, and downstream stor- age. Chapter 1 briefly introduces the natural gas and LNG industries, and the topics studied in this thesis. Chapter 2 studies how to value U.S. natural gas

  5. Gas Distribution Modeling using Sparse Gaussian Process Mixture Models

    E-Print Network [OSTI]

    Teschner, Matthias

    Gas Distribution Modeling using Sparse Gaussian Process Mixture Models Cyrill Stachniss1 Christian-- In this paper, we consider the problem of learning a two dimensional spatial model of a gas distribution with a mobile robot. Building maps that can be used to accurately predict the gas concentration at query

  6. The effect of natural gas supply on US renewable energy and CO2emissions

    E-Print Network [OSTI]

    Shearer, C; Bistline, J; Inman, M; Davis, SJ

    2014-01-01

    leaks from North American natural gas systems Science 343of methane emissions at natural gas production sites in theUS exports of natural gas Energy Policy www.bipac.net/dow/

  7. The effect of natural gas supply on US renewable energy and CO2emissions

    E-Print Network [OSTI]

    Shearer, C; Bistline, J; Inman, M; Davis, SJ

    2014-01-01

    F and Paltsev S 2012 Shale gas production: potential versus46] Schrag D 2012 Is shale gas good for climate change?C 2011 Blind rush? Shale gas boom proceeds amid health

  8. NEMS International Energy Module, model documentation report: World Oil Market, Petroleum Products Supply and Oxygenates Supply components

    SciTech Connect (OSTI)

    Not Available

    1994-04-04

    The Energy Information Administration (EIA) is developing the National Energy Modeling System (NEMS) to enhance its energy forecasting capabilities and to provide the Department of Energy with a comprehensive framework for analyzing alternative energy` futures. NEMS is designed with a multi-level modular structure that represents specific energy supply activities, conversion processes, and demand sectors as a series of self-contained units which are linked by an integrating mechanism. The NEMS International Energy Module (IEM) computes world oil prices and the resulting patterns of international trade in crude oil and refined products. This report is a reference document for energy analysts, model users, and the public that is intended to meet EIA`s legal obligation to provide adequate documentation for all statistical and forecast reports (Public Law 93-275, section 57(b)(1). Its purpose is to describe the structure of the IEM. Actual operation of the model is not discussed here. The report contains four sections summarizing the overall structure of the IEM and its interface with other NEMS modules, mathematical specifications of behavioral relationships, and data sources and estimation methods. Following a general description of the function and rationale of its key components, system and equation level information sufficient to permit independent evaluation of the model`s technical details is presented.

  9. GEOLOGIC NOTE A simple model of gas

    E-Print Network [OSTI]

    Patzek, Tadeusz W.

    GEOLOGIC NOTE A simple model of gas production from hydrofractured horizontal wells in shales Tad Patzek, Frank Male, and Michael Marder ABSTRACT Assessing the production potential of shale gas can a nonlinear initial boundary value problem for transient flow of real gas that may sorb on the rock and solve

  10. Mathematical models of natural gas consumption

    E-Print Network [OSTI]

    Scitovski, Rudolf

    tolerance interval. Previous research in the area of energy consumption (gas or electricity) revealsMathematical models of natural gas consumption Kristian Sabo, Rudolf Scitovski, Ivan of natural gas consumption Kristian Sabo, Rudolf Scitovski, Ivan Vazler , Marijana Zeki-Susac ksabo

  11. CALIFORNIA CLIMATE POLICY MODELING (CCPM) DIALOG Greenhouse Gas Emissions Modeling

    E-Print Network [OSTI]

    California at Davis, University of

    H2 CALIFORNIA CLIMATE POLICY MODELING (CCPM) DIALOG Greenhouse Gas Emissions Modeling ­ California goals of criteria pollutant and GHG emission reduction. · Modelers need to work with policy makers more to policy-makers and stakeholders. 5 #12;Greenhouse Gas Emissions Modeling ­ California 2030 #12;

  12. Hybrid gas bearings with controlled supply pressure to eliminate rotor vibrations while crossing system critical speeds 

    E-Print Network [OSTI]

    Ryu, Keun

    2009-05-15

    gas bearings provide a simple solution to overcome excessive drag and allowing rub-free operation during transient response events. Some commercial MTM currently implements gas foil bearings, a costly proprietary technology with few, if any, proven...

  13. Perishable Product Supply Chains in Health Care: Models, Analysis, and Computations

    E-Print Network [OSTI]

    Nagurney, Anna

    of Management University of Massachusetts Amherst, Massachusetts 01003 Management Science Research Seminar Mc Chains That We Focus On In This Talk The Pharmaceutical Industry and Issues A Generalized Network Oligoply Model for Pharmaceutical Supply Chains Relationship of the Model to Others in the Literature

  14. Perishable Product Supply Chains in Health Care: Models, Analysis, and Computations

    E-Print Network [OSTI]

    Nagurney, Anna

    of Management University of Massachusetts Amherst, Massachusetts 01003 Vienna University of Economics Focus On In This Talk The Pharmaceutical Industry and Issues A Generalized Network Oligopoly Model for Pharmaceutical Supply Chains Relationship of the Model to Others in the Literature The Algorithm with Explicit

  15. Development of the Integrated Biomass Supply Analysis and Logistics Model (IBSAL)

    SciTech Connect (OSTI)

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

    2008-06-01

    The Integrated Biomass Supply & Logistics (IBSAL) model is a dynamic (time dependent) model of operations that involve collection, harvest, storage, preprocessing, and transportation of feedstock for use at a biorefinery. The model uses mathematical equations to represent individual unit operations. These unit operations can be assembled by the user to represent the working rate of equipment and queues to represent storage at facilities. The model calculates itemized costs, energy input, and carbon emissions. It estimates resource requirements and operational characteristics of the entire supply infrastructure. Weather plays an important role in biomass management and thus in IBSAL, dictating the moisture content of biomass and whether or not it can be harvested on a given day. The model calculates net biomass yield based on a soil conservation allowance (for crop residue) and dry matter losses during harvest and storage. This publication outlines the development of the model and provides examples of corn stover harvest and logistics.

  16. Gauss Bonnet dark energy Chaplygin Gas Model

    E-Print Network [OSTI]

    Elahe Karimkhani; Asma Alaii; Abdolhossein Khodam-Mohammadi

    2015-02-27

    In this work we incorporate GB dark energy density and its modification, MGB, with Chaplygin gas component. We show that, presence of Chaplygin gas provides us a feature to obtain an exact solution for scalar field and potential of scalar field. Investigation on squared of sound speed provides a lower limit for constant parameters of MGB model. Also, we could find some bounds for free parameters of model.

  17. Oil and natural gas supply and demand trends in North America and beyond

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural GasEIARegionalMethodologyNorth093 *Oil andOil

  18. Project Title Economic Modeling & Unconventional Gas Resource Appraisal Program Line Tough Gas

    E-Print Network [OSTI]

    Santos, Juan

    support to assess the economic viability of new tough gas plays (tight gas, shale gas, CBM). Project are illustrated using the US shale gas plays as case templates. Discounted cash flow models are applied1 Project Title Economic Modeling & Unconventional Gas Resource Appraisal Program Line Tough Gas

  19. A Fork in the Road We stand at a fork in the road. Conventional oil and gas supplies are limited. We can move

    E-Print Network [OSTI]

    Hansen, James E.

    A Fork in the Road We stand at a fork in the road. Conventional oil and gas supplies are limited the dirtiest tar sands and tar shales, hydrofracking for gas, continued mountain-top removal and mechanized change. Fossil fuel moguls get richer, we get poorer. Our children are screwed. Our well-oiled coal

  20. SPINTHIR: An ignition model for gas turbines

    E-Print Network [OSTI]

    Neophytou, A; Mastorakos, E

    2012-08-28

    , Sardinia, Italy, September 11-15, 2011 A PRACTICAL MODEL FOR THE HIGH-ALTITUDE RELIGHT OF A GAS TURBINE COMBUSTOR A. Neophytou*,1, E. Mastorakos*, E.S. Richardson**, S. Stow*** and M. Zedda*** em257@eng.cam.ac.uk * University of Cambridge... geometries is given. In this section, the main concepts of the model are repeated for clarity and the CFD solution of the gas turbine combustor is briefly presented. 2.1 Model description: main idea The model aims at representing the possible...

  1. Medical Nuclear Supply Chain Design: A Tractable Network Model and Computational Approach

    E-Print Network [OSTI]

    Nagurney, Anna

    operational cost minimization, and the minimization of cost associated with nuclear waste discarding, coupled, the underlying physics of radioactive decay, and the inclusion of waste management. We focus on Molybdenum-99 dueMedical Nuclear Supply Chain Design: A Tractable Network Model and Computational Approach Anna

  2. Integrated Model for Production-Distribution Coordination in an Industrial Gases Supply-chain

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    and their demand/consumption profiles Max/Min inventory at production sites and customer locations Max and Respective Production limits Daily Electricity Prices (off-peak and peak) Customers and their demand/consumptionIntegrated Model for Production-Distribution Coordination in an Industrial Gases Supply-chain Pablo

  3. Carbon Footprint and the Management of Supply Chains: Insights from Simple Models

    E-Print Network [OSTI]

    Benjaafar, Saifallah

    Carbon Footprint and the Management of Supply Chains: Insights from Simple Models Saif Benjaafar1-making that accounts for both cost and carbon footprint. We examine how the values of these parameters as well or shareholders, are undertaking initiatives to reduce their carbon footprint. However, these initiatives have

  4. A Supply-Demand Model Based Scalable Energy Management System for Improved Energy

    E-Print Network [OSTI]

    Bhunia, Swarup

    A Supply-Demand Model Based Scalable Energy Management System for Improved Energy Utilization: sxn124@case.edu Abstract-Harvesting energy from the environment can play an important role in reducing the dependency of an electronic system to primary energy sources (i.e. AC power or battery). For reliable

  5. Optimization Models for Supply Chain and Operations Management OM 392, Spring 2012

    E-Print Network [OSTI]

    Ghosh, Joydeep

    Models for Supply Chain and Operations Management OM 392, Spring 2012 Unique Number: 03955 Professor Anant Balakrishnan Classroom: GSB 5.154 Office: CBA 6.486 Class time: W 2 to 5 p.m. e-mail: anantb Management involves planning and coordinating the value-adding activities and flow of materials

  6. Capacity Planning in a General Supply Chain with Multiple Contract Types Single Period Model

    E-Print Network [OSTI]

    Graves, Stephen C.

    and sufficient capacity to meet market demands. However, capacity planning is a very challenging task for manyCapacity Planning in a General Supply Chain with Multiple Contract Types ­ Single Period Model Xin Huang · Stephen C. Graves Department of Electrical Engineering and Computer Science, Massachusetts

  7. ,"U.S. Natural Gas Monthly Supply and Disposition Balance"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1SalesMonthly Supply and Disposition

  8. ,"U.S. Natural Gas Annual Supply and Disposition Balance"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008WellheadAnnual",2014 ,"ReleaseAnnual",2014 ,"ReleaseAnnual Supply

  9. Estimation of a supply and demand model for the hired farm labor market in Texas 

    E-Print Network [OSTI]

    Turley, Keith Pool

    1977-01-01

    ESTIMATION OF A SUPPLY AND DEMAND MODEL FOR THE HIRED FARM LABOR MARKET IN TEXAS A Thesis by KEITH POOL TURLEY Submitted to the Craduate College of Texas ARM University in partial fulfillment of the requirement for the degree of MASTER... Or SCIENCI. December 1977 Major Subject: Agricultural Economics ESTIMATION OF A SUPPLY AND DEMAND NODEL FOR THE HIRED FARM LABOR MARKET IN TEXAS A Thesis by KEITH POOL TURLEY Approved as to style and content by: Ch rman of Comm' tee) Member Mem r...

  10. i U.S. Energy Information Administration/Oil and Gas Supply Module Documentation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural Gas Reserves AdjustmentsDecade Year-0 Year-1 Year-21440Z .

  11. A General Multitiered Supply Chain Network Model of Quality Competition with Suppliers Dong Li1 and Anna Nagurney2

    E-Print Network [OSTI]

    Nagurney, Anna

    A General Multitiered Supply Chain Network Model of Quality Competition with Suppliers Dong Li1 a general multitiered supply chain network equilibrium model consisting of competing suppliers and competing, along with sensi- tivity analysis in which the impacts of capacity disruptions and complete supplier

  12. Resource planning for gas utilities: Using a model to analyze pivotal issues

    SciTech Connect (OSTI)

    Busch, J.F.; Comnes, G.A.

    1995-11-01

    With the advent of wellhead price decontrols that began in the late 1970s and the development of open access pipelines in the 1980s and 90s, gas local distribution companies (LDCs) now have increased responsibility for their gas supplies and face an increasingly complex array of supply and capacity choices. Heretofore this responsibility had been share with the interstate pipelines that provide bundled firm gas supplies. Moreover, gas supply an deliverability (capacity) options have multiplied as the pipeline network becomes increasing interconnected and as new storage projects are developed. There is now a fully-functioning financial market for commodity price hedging instruments and, on interstate Pipelines, secondary market (called capacity release) now exists. As a result of these changes in the natural gas industry, interest in resource planning and computer modeling tools for LDCs is increasing. Although in some ways the planning time horizon has become shorter for the gas LDC, the responsibility conferred to the LDC and complexity of the planning problem has increased. We examine current gas resource planning issues in the wake of the Federal Energy Regulatory Commission`s (FERC) Order 636. Our goal is twofold: (1) to illustrate the types of resource planning methods and models used in the industry and (2) to illustrate some of the key tradeoffs among types of resources, reliability, and system costs. To assist us, we utilize a commercially-available dispatch and resource planning model and examine four types of resource planning problems: the evaluation of new storage resources, the evaluation of buyback contracts, the computation of avoided costs, and the optimal tradeoff between reliability and system costs. To make the illustration of methods meaningful yet tractable, we developed a prototype LDC and used it for the majority of our analysis.

  13. The Cost of Improving Gas Supply Security in the Baltic States

    E-Print Network [OSTI]

    Noël, Pierre; Findlater, Sachi; Chyong, Chi Kong

    2012-01-23

     days, according to cases Efficiency of the system [5] Calculated as [heat energy out ]/[ energy value of gas in]. Raw data  obtained from Estonian National Statistics and applied to all three  countries. Note that for boilers and turbines there is a 1... source. The journey time given here is for Arzew port in Algeria to the Baltic Coast. Daily transit volume boil off [%] [7] Information obtained from LNG industry experts. mcm per 125tcm vessel [once regasified] [8] The volume of LNG is approximately 600...

  14. Natural Gas Receipts Across U.S. Borders (Annual Supply & Disposition)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996) in

  15. Deliveries of Natural Gas Across U.S. Borders (Annual Supply & Disposition)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions1 0Delaware2 1 0 * *

  16. Electricity Shortage in California: Issues for Petroleum and Natural Gas Supply

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets 9,Why Report‹ See allResourceElectricity

  17. An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling with Empirical Analysis for New England

    E-Print Network [OSTI]

    Nagurney, Anna

    An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling investigate how changes in the demand for electricity influence the electric power and the fuel markets from markets to quantify the interactions in electric power/energy supply chains and their effects on flows

  18. Primer on gas integrated resource planning

    SciTech Connect (OSTI)

    Goldman, C.; Comnes, G.A.; Busch, J.; Wiel, S. [Lawrence Berkeley Lab., CA (United States)

    1993-12-01

    This report discusses the following topics: gas resource planning: need for IRP; gas integrated resource planning: methods and models; supply and capacity planning for gas utilities; methods for estimating gas avoided costs; economic analysis of gas utility DSM programs: benefit-cost tests; gas DSM technologies and programs; end-use fuel substitution; and financial aspects of gas demand-side management programs.

  19. SOLVING POWER-CONSTRAINED GAS TRANSPORTATION ...

    E-Print Network [OSTI]

    2014-11-27

    Nov 27, 2014 ... pressure and the mass flow at supply and demand nodes. Using mass flow ...... Modeling of Oil Product and Gas Pipeline Transportation. Wein-.

  20. Comparison of Test Procedures and Energy Efficiency Criteria in Selected International Standards & Labeling Programs for Copy Machines, External Power Supplies, LED Displays, Residential Gas Cooktops and Televisions

    E-Print Network [OSTI]

    Zheng, Nina

    2013-01-01

    Machines, External Power Supplies, LED Displays, Residentialmachines, external power supply, LED displays, residentialPower Supplies .. 6 LED

  1. Assessing Vehicle Electricity Demand Impacts on California Electricity Supply

    E-Print Network [OSTI]

    McCarthy, Ryan W.

    2009-01-01

    wind energy: modeling the competition between gas turbinesunit of energy were supplied by new wind turbines, biomass,A Wind turbine rotor-swept area (m 2 ) AEO Annual Energy

  2. Framework for the study of governance in the supply networks : Wal-mart : "Enlightened Despot" model

    E-Print Network [OSTI]

    De Graeve, Denis, 1979-

    2004-01-01

    Extensive research work has been conducted on the topic of collaboration in supply chain management, but the more general topic of governance in supply networks has never truly been addressed. This research proposes to ...

  3. Coupling Renewable Energy Supply with Deferrable Demand

    E-Print Network [OSTI]

    Papavasiliou, Anthony

    2011-01-01

    of Renewable Energy Supply . . . . . . . . . . . . . 1.2.4the model, where renewable energy supply is replaced by itsPhil Kaminsky. Renewable energy supply for electric vehicle

  4. Nuclear interaction modeled with a simple piston-gas model

    E-Print Network [OSTI]

    Mario J. Pinheiro

    2015-06-15

    A simple one-dimensional gas-piston kinetic model gives the interaction potential between two colliding heavy ions. In the frame of the classical, thermodynamical approach, the colliding heavy ions are not submitted to friction, but produces an irreversible phenomena with cause at the difference of pressure $p$ "felt" by the nucleon gas when ions collide with the target when compared with the pressure that nuclear matter exert on their boundaries when in thermodynamical equilibrium, and offers a straightforward way to calculate interacting potentials.

  5. Numerical Modeling of Fractured Shale-Gas and Tight-Gas Reservoirs Using Unstructured Grids 

    E-Print Network [OSTI]

    Olorode, Olufemi Morounfopefoluwa

    2012-02-14

    Various models featuring horizontal wells with multiple induced fractures have been proposed to characterize flow behavior over time in tight gas and shale gas systems. Currently, there is little consensus regarding the effects of non...

  6. A Variable Cell Model for Simulating Gas Condensate Reservoir Performance

    E-Print Network [OSTI]

    Al-Majed, Abdulaziz Abdullah

    , SPE-~~~ SPE 21428 A Variable Cell Model for Simulating Gas Condensate Reservoir Performance A of depletion performance of gas condensate reservoirs report the existence of a A variable cell model for simulating gas relatively high, near-constant, oil saturation in condensate reeervoir performance has been

  7. Using multi-layer models to forecast gas flow rates in tight gas reservoirs 

    E-Print Network [OSTI]

    Jerez Vera, Sergio Armando

    2007-04-25

    USING MULTI-LAYER MODELS TO FORECAST GAS FLOW RATES IN TIGHT GAS RESERVOIRS A Thesis by SERGIO ARMANDO JEREZ VERA Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE December 2006 Major Subject: Petroleum Engineering USING MULTI-LAYER MODELS TO FORECAST GAS FLOW RATES IN TIGHT GAS RESERVOIRS A Thesis by SERGIO ARMANDO JEREZ VERA Submitted...

  8. The addition of a US Rare Earth Element (REE) supply-demand model improves the characterization and scope of the United States Department of Energy's effort to forecast US REE Supply and Demand

    E-Print Network [OSTI]

    Mancco, Richard

    2012-01-01

    This paper presents the development of a new US Rare Earth Element (REE) Supply-Demand Model for the explicit forecast of US REE supply and demand in the 2010 to 2025 time period. In the 2010 Department of Energy (DOE) ...

  9. An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling with Empirical Analysis for New England

    E-Print Network [OSTI]

    Nagurney, Anna

    An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling regions and multiple electricity markets under deregulation to quantify the interactions in electric power an oligopolistic electricity market model with a nitrogen ox- ide permit market, and provided examples based

  10. A modeling of buoyant gas plume migration

    SciTech Connect (OSTI)

    Silin, D.; Patzek, T.; Benson, S.M.

    2008-12-01

    This work is motivated by the growing interest in injecting carbon dioxide into deep geological formations as a means of avoiding its atmospheric emissions and consequent global warming. Ideally, the injected greenhouse gas stays in the injection zone for a geologic time, eventually dissolves in the formation brine and remains trapped by mineralization. However, one of the potential problems associated with the geologic method of sequestration is that naturally present or inadvertently created conduits in the cap rock may result in a gas leakage from primary storage. Even in a supercritical state, the carbon dioxide viscosity and density are lower than those of the formation brine. Buoyancy tends to drive the leaked CO{sub 2} plume upward. Theoretical and experimental studies of buoyancy-driven supercritical CO{sub 2} flow, including estimation of time scales associated with plume evolution and migration, are critical for developing technology, monitoring policy, and regulations for safe carbon dioxide geologic sequestration. In this study, we obtain simple estimates of vertical plume propagation velocity taking into account the density and viscosity contrast between CO{sub 2} and brine. We describe buoyancy-driven countercurrent flow of two immiscible phases by a Buckley-Leverett type model. The model predicts that a plume of supercritical carbon dioxide in a homogeneous water-saturated porous medium does not migrate upward like a bubble in bulk water. Rather, it spreads upward until it reaches a seal or until it becomes immobile. A simple formula requiring no complex numerical calculations describes the velocity of plume propagation. This solution is a simplification of a more comprehensive theory of countercurrent plume migration (Silin et al., 2007). In a layered reservoir, the simplified solution predicts a slower plume front propagation relative to a homogeneous formation with the same harmonic mean permeability. In contrast, the model yields much higher plume propagation estimates in a high-permeability conduit like a vertical fracture.

  11. Oil and Gas Supply Module of the National Energy Modeling System: Model Documentation 2012

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear JanNew FieldDecade Year-0 Year-1VentedMonth799 7420 02

  12. Oil and Gas Supply Module of the National Energy Modeling System: Model Documentation 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear JanNew FieldDecade Year-0 Year-1VentedMonth799 7420 023

  13. Oil and Gas Supply Module of the National Energy Modeling System: Model Documentation 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear JanNew FieldDecade Year-0 Year-1VentedMonth799 7420

  14. Loop Gas Model for Open Strings

    E-Print Network [OSTI]

    V. Kazakov; I. Kostov

    1992-05-18

    The open string with one-dimensional target space is formulated in terms of an SOS, or loop gas, model on a random surface. We solve an integral equation for the loop amplitude with Dirichlet and Neumann boundary conditions imposed on different pieces of its boundary. The result is used to calculate the mean values of order and disorder operators, to construct the string propagator and find its spectrum of excitations. The latter is not sensible neither to the string tension $\\L$ nor to the mass $\\mu$ of the ``quarks'' at the ends of the string. As in the case of closed strings, the SOS formulation allows to construct a Feynman diagram technique for the string interaction amplitudes.

  15. Proposal for the Award of a Contract for the Supply and Installation of a gas Turbine for Combined Generation of Electricity and Heat in the Heating Plant on the Meyrin Site

    E-Print Network [OSTI]

    1994-01-01

    Proposal for the Award of a Contract for the Supply and Installation of a gas Turbine for Combined Generation of Electricity and Heat in the Heating Plant on the Meyrin Site

  16. Adsorption modeling for off-gas treatment

    SciTech Connect (OSTI)

    Ladshaw, A.; Sharma, K.; Yiacoumi, S.; Tsouris, C. [Georgia Institute of Technology, Atlanta, GA 30332-0459 (United States); De Paoli, D.W. [Oak Ridge National Laboratory: Oak Ridge, TN 37831-6181 (United States)

    2013-07-01

    Off-gas generated from the reprocessing of used nuclear fuel contains a mixture of several radioactive gases including {sup 129}I{sub 2}, {sup 85}Kr, HTO, and {sup 14}CO{sub 2}. Over the past few decades, various separation and recovery processes have been studied for capturing these gases. Adsorption data for gaseous mixtures of species can be difficult to determine experimentally. Therefore, procedures capable of predicting the adsorption behavior of mixtures need to be developed from the individual isotherms of each of the pure species. A particular isotherm model of interest for the pure species is the Generalized Statistical Thermodynamic Adsorption isotherm. This model contains an adjustable number of parameters and will therefore describe a wide range of adsorption isotherms for a variety of components. A code has been developed in C++ to perform the non-linear regression analysis necessary for the determination of the isotherm parameters, as well as the least number of parameters needed to describe an entire set of data. (authors)

  17. A Network Model and Computational Approach Mo Supply Chain for Nuclear Medicine

    E-Print Network [OSTI]

    Nagurney, Anna

    in the world. From: The Supply of Medical Radioisotopes: An Economic Study of the Molybdenum-99 Supply Chain to create an image of that site or organ. Technetium, 99mTc, a decay product of Molybdenum, 99Mo, is the most commonly used medical radioisotope, accounting for over 80% of the radioisotope injections

  18. Graduate Opportunities in Atmospheric Modeling to Understand Greenhouse Gas Emissions

    E-Print Network [OSTI]

    Lin, John Chun-Han

    Graduate Opportunities in Atmospheric Modeling to Understand Greenhouse Gas Emissions University://www.atmos.utah.edu/) seeks multiple graduate students to study greenhouse gas emissions associated with urban development greenhouse gas emissions. Samples of guiding questions as part of the projects include: · What can explain

  19. Evaluation of INL Supplied MOOSE/OSPREY Model: Modeling Water Adsorption on Type 3A Molecular Sieve

    SciTech Connect (OSTI)

    Pompilio, L. M.; DePaoli, D. W.; Spencer, B. B.

    2014-08-29

    The purpose of this study was to evaluate Idaho National Lab’s Multiphysics Object-Oriented Simulation Environment (MOOSE) software in modeling the adsorption of water onto type 3A molecular sieve (3AMS). MOOSE can be thought-of as a computing framework within which applications modeling specific coupled-phenomena can be developed and run. The application titled Off-gas SeParation and REcoverY (OSPREY) has been developed to model gas sorption in packed columns. The sorbate breakthrough curve calculated by MOOSE/OSPREY was compared to results previously obtained in the deep bed hydration tests conducted at Oak Ridge National Laboratory. The coding framework permits selection of various options, when they exist, for modeling a process. For example, the OSPREY module includes options to model the adsorption equilibrium with a Langmuir model or a generalized statistical thermodynamic adsorption (GSTA) model. The vapor solid equilibria and the operating conditions of the process (e.g., gas phase concentration) are required to calculate the concentration gradient driving the mass transfer between phases. Both the Langmuir and GSTA models were tested in this evaluation. Input variables were either known from experimental conditions, or were available (e.g., density) or were estimated (e.g., thermal conductivity of sorbent) from the literature. Variables were considered independent of time, i.e., rather than having a mass transfer coefficient that varied with time or position in the bed, the parameter was set to remain constant. The calculated results did not coincide with data from laboratory tests. The model accurately estimated the number of bed volumes processed for the given operating parameters, but breakthrough times were not accurately predicted, varying 50% or more from the data. The shape of the breakthrough curves also differed from the experimental data, indicating a much wider sorption band. Model modifications are needed to improve its utility and predictive capability. Recommended improvements include: greater flexibility for input of mass transfer parameters, time-variable gas inlet concentration, direct output of loading and temperature profiles along the bed, and capability to conduct simulations of beds in series.

  20. Modeling of Fission Gas Release in UO2

    SciTech Connect (OSTI)

    MH Krohn

    2006-01-23

    A two-stage gas release model was examined to determine if it could provide a physically realistic and accurate model for fission gas release under Prometheus conditions. The single-stage Booth model [1], which is often used to calculate fission gas release, is considered to be oversimplified and not representative of the mechanisms that occur during fission gas release. Two-stage gas release models require saturation at the grain boundaries before gas is release, leading to a time delay in release of gases generated in the fuel. Two versions of a two-stage model developed by Forsberg and Massih [2] were implemented using Mathcad [3]. The original Forsbers and Massih model [2] and a modified version of the Forsberg and Massih model that is used in a commercially available fuel performance code (FRAPCON-3) [4] were examined. After an examination of these models, it is apparent that without further development and validation neither of these models should be used to calculate fission gas release under Prometheus-type conditions. There is too much uncertainty in the input parameters used in the models. In addition. the data used to tune the modified Forsberg and Massih model (FRAPCON-3) was collected under commercial reactor conditions, which will have higher fission rates relative to Prometheus conditions [4].

  1. Updated U.S. Geothermal Supply Characterization and Representation for Market Penetration Model Input

    SciTech Connect (OSTI)

    Augustine, C.

    2011-10-01

    The U.S. Department of Energy (DOE) Geothermal Technologies Program (GTP) tasked the National Renewable Energy Laboratory (NREL) with conducting the annual geothermal supply curve update. This report documents the approach taken to identify geothermal resources, determine the electrical producing potential of these resources, and estimate the levelized cost of electricity (LCOE), capital costs, and operating and maintenance costs from these geothermal resources at present and future timeframes under various GTP funding levels. Finally, this report discusses the resulting supply curve representation and how improvements can be made to future supply curve updates.

  2. Modeling the US Natural Gas Network James Ellison

    E-Print Network [OSTI]

    (CCGTs) are expected to provide the majority of power plant capacity additions for the next ten yearsModeling the US Natural Gas Network James Ellison Sandia National Laboratories, Critical Infrastructure Modeling and Simulation Group Abstract In order to better understand how the US natural gas

  3. Understanding supply chain trade-offs through models and scenario planning with a focus on postponement

    E-Print Network [OSTI]

    Kafka, Concepcion Alexandra

    2015-01-01

    The two objectives of this project were to develop an understanding of the challenges and opportunities of the supply chain of a family of currently marketed products manufactured overseas and distributed/sold worldwide ...

  4. A supply forecasting model for Zimbabwe's corn sector: a time series and structural analysis 

    E-Print Network [OSTI]

    Makaudze, Ephias

    1993-01-01

    Board's financial resource needs. Thus, the corn supply forecasts are important information used by the government for contingency planning, decision-making, policy-formulation and implementation. As such, the need for accurate forecasts is obvious...

  5. Fulfillment supply chain strategy evaluation : understanding cost drivers through comprehensive logistics modeling

    E-Print Network [OSTI]

    De Naray, Margo (Margo Taylor)

    2010-01-01

    The fulfillment supply chain consists of all activities associated with packing, storing, and transporting a product from the manufacturer to the customer. In the global environment, it is a challenge to accurately measure ...

  6. Development of a natural Gas Systems Analysis Model (GSAM). Annual report

    SciTech Connect (OSTI)

    Not Available

    1994-02-01

    Lacking a detailed characterization of the resource base and a comprehensive borehole-to-burnertip evaluation model of the North American natural gas system, past R&D, tax and regulatory policies have been formulated without a full understanding of their likely direct and indirect impacts on future gas supply and demand. The recent disappearance of the deliverability surplus, pipeline deregulation, and current policy debates about regulatory initiatives in taxation, environmental compliance and leasing make the need for a comprehensive gas evaluation system critical. Traditional econometric or highly aggregated energy models are increasingly regarded as unable to incorporate available geologic detail and explicit technology performance and costing algorithms necessary to evaluate resource-technology-economic interactions in a market context. The objective of this research is to create a comprehensive, non-proprietary, microcomputer model of the North American natural gas system. GSAM explicitly evaluates the key components of the natural gas system, including resource base, exploration and development, extraction technology performance and costs, transportation and storage and end use. The primary focus is the detailed characterization of the resource base at the reservoir and sub-reservoir level and the impact of alternative extraction technologies on well productivity and economics. GSAM evaluates the complex interactions of current and alternative future technology and policy initiatives in the context of the evolving gas markets. Scheduled for completion in 1995, a prototype is planned for early 1994. ICF Resources reviewed relevant natural gas upstream, downstream and market models to identify appropriate analytic capabilities to incorporate into GSAM. We have reviewed extraction technologies to better characterize performance and costs in terms of GSAM parameters.

  7. Infrastructure investments and resource adequacy in the restructured US natural gas market : is supply security at risk?

    E-Print Network [OSTI]

    Hirschhausen, Christian von

    2006-01-01

    The objective of this paper is to analyze the development of US natural gas infrastructure over the last two decades and to discuss its perspectives. In particular, we focus on the relationship between the regulatory ...

  8. A supply chain network design model for biomass co-firing in coal-fired power plants

    SciTech Connect (OSTI)

    Md. S. Roni; Sandra D. Eksioglu; Erin Searcy; Krishna Jha

    2014-01-01

    We propose a framework for designing the supply chain network for biomass co-firing in coal-fired power plants. This framework is inspired by existing practices with products with similar physical characteristics to biomass. We present a hub-and-spoke supply chain network design model for long-haul delivery of biomass. This model is a mixed integer linear program solved using benders decomposition algorithm. Numerical analysis indicates that 100 million tons of biomass are located within 75 miles from a coal plant and could be delivered at $8.53/dry-ton; 60 million tons of biomass are located beyond 75 miles and could be delivered at $36/dry-ton.

  9. An Integrated Disaster Relief Supply Chain Network Model with Time Targets Demand Uncertainty

    E-Print Network [OSTI]

    Nagurney, Anna

    system-optimization approach minimizes the total operational costs on the links of the supply chain environment upon the socio-economic system (Alexander (1993)). Cyclones, tornadoes, hurricanes, landslides, earthquakes, tsunamis, volcanic eruptions, and floods are among the natural phenomena ravaging our planet each

  10. Medical Nuclear Supply Chain Design: A Tractable Network Model and Computational

    E-Print Network [OSTI]

    Nagurney, Anna

    . Technetium, 99mTc, which is a decay product of Molybdenum, 99Mo, is the most commonly used medical the conduits for products used in nuclear medical imaging, which is routinely utilized by physicians of transportation can be used at this stage. Anna Nagurney and Ladimer S. Nagurney Medical Nuclear Supply Chain

  11. TIMES model for the Reunion Island: addressing reliability of electricity supply

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    energy sources. In 2008, the total primary energy consumption was 1295 ktoe, and as most of small islands% on renewable energy sources [1]. In 2008, the total primary energy consumption was 1295 ktoe, and as most. Keywords: Long-term energy planning. Reunion Island. Reliability of electricity supply. JEL: ­ Q4; O21; Q29

  12. Phase space analysis of some interacting Chaplygin gas models

    E-Print Network [OSTI]

    M. Khurshudyan; R. Myrzakulov

    2015-09-08

    The goal of this paper is to discuss phase space analysis of some interacting Chaplygin gas models in General Relativity. Chaplygin gas is one of the fluids actively considered in modern cosmology due to the fact that it is a joint model of dark energy and dark matter. In this paper we have considered various forms of interaction term Q including linear and non linear sign changeable interactions. For each case late time attractors for the field equations are found.

  13. Modeling well performance in compartmentalized gas reservoirs 

    E-Print Network [OSTI]

    Yusuf, Nurudeen

    2008-10-10

    for consolidated reservoir cases while synthetic data (generated by the model using known parameters) was used for unconsolidated reservoir cases. In both cases, the Compartmentalized Depletion Model was used to analyze data, and estimate the OGIP and Jg of each...

  14. Easing the natural gas crisis: Reducing natural gas prices through increased deployment of renewable energy and energy efficiency

    E-Print Network [OSTI]

    Wiser, Ryan; Bolinger, Mark; St. Clair, Matt

    2004-01-01

    The Scientific Inventory of Oil and Gas Resources on Federaland Application to the U.S. Oil Market. ” Resources andExploration Models of US Oil and Gas Supply. ” Journal of

  15. Sensitivity analysis of the fission gas behavior model in BISON.

    SciTech Connect (OSTI)

    Swiler, Laura Painton; Pastore, Giovanni; Perez, Danielle; Williamson, Richard

    2013-05-01

    This report summarizes the result of a NEAMS project focused on sensitivity analysis of a new model for the fission gas behavior (release and swelling) in the BISON fuel performance code of Idaho National Laboratory. Using the new model in BISON, the sensitivity of the calculated fission gas release and swelling to the involved parameters and the associated uncertainties is investigated. The study results in a quantitative assessment of the role of intrinsic uncertainties in the analysis of fission gas behavior in nuclear fuel.

  16. Model documentation Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1996-02-26

    The Natural Gas Transmission and Distribution Model (NGTDM) of the National Energy Modeling System is developed and maintained by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting. This report documents the archived version of the NGTDM that was used to produce the natural gas forecasts presented in the Annual Energy Outlook 1996, (DOE/EIA-0383(96)). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic approach, and provides detail on the methodology employed. Previously this report represented Volume I of a two-volume set. Volume II reported on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.

  17. Gas permeation carbon capture --- Process modeling and optimization

    SciTech Connect (OSTI)

    Morinelly, Juan; Miller, David

    2011-01-01

    A multi-staged gas permeation carbon capture process model was developed in Aspen Custom Modeler{reg_sign} (ACM) and optimized in the context of the retrofit of a 550 MW subcritical pulverized coal (PC) power plant. The gas permeation stages in the process are described by a custom multi-component, hollowfiber membrane model. Gas transport across the asymmetric membrane was modeled according to the solution-diffusion model for the selective skin layer and the assumption of negligible flux resistance by the porous support. Counter-current, one-dimensional plug flow was assumed with permeate pressure drop in the fiber lumen side due to capillary constrained flow. A modular optimization framework was used to minimize the levelized cost of electricity (LCOE) by optimizing a set of key process variables. The framework allows the external control of multiple simulation modules from different software packages from a common interface.

  18. The Growth of U.S. Natural Gas: An Uncertain Outlook for U.S. and World Supply

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988Prices,Flight Paths for Biojet Fuel TonyBiofuels:The

  19. Introduction Literature Review Supply Chain Network Model Simulation Studies Managerial Insights and Conclusions Supply Chain Outsourcing Under Exchange Rate Risk and

    E-Print Network [OSTI]

    Nagurney, Anna

    generally reduces production costs. From 2000 to 2007, 70 percent of U.S. non-oil import growth was driven Foreign exchange risk is consistently considered to be on the list of top concerns of supply chain executives. A study conducted by The Economist, which surveyed 500 global company executives

  20. Water resources: sustainable water supply management and basin wide modelling Internationally it has been recognized that the most important challenge to ensuring sustainable

    E-Print Network [OSTI]

    Barthelat, Francois

    Water resources: sustainable water supply management and basin wide modelling Internationally it has been recognized that the most important challenge to ensuring sustainable water use is implementing integrated water resources management (IWRM). It provides the best framework for balancing

  1. Modeling well performance in compartmentalized gas reservoirs 

    E-Print Network [OSTI]

    Yusuf, Nurudeen

    2009-05-15

    and performance characteristics of each compartment in such reservoirs given production data. A geomechanics model was developed using available correlation in the industry to estimate variable pore volume compressibility, reservoir compaction and permeability...

  2. Comparison of Test Procedures and Energy Efficiency Criteria in Selected International Standards & Labeling Programs for Copy Machines, External Power Supplies, LED Displays, Residential Gas Cooktops and Televisions

    E-Print Network [OSTI]

    Zheng, Nina

    2013-01-01

    appliances that use city gas or LPG gas and do not includethat use city gas 13A or LPG gas, excluding grills, ovens

  3. Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model (Released in the STEO March 1998)

    Reports and Publications (EIA)

    1998-01-01

    The blending of oxygenates, such as fuel ethanol and methyl tertiary butyl ether (MTBE), into motor gasoline has increased dramatically in the last few years because of the oxygenated and reformulated gasoline programs. Because of the significant role oxygenates now have in petroleum product markets, the Short-Term Integrated Forecasting System (STIFS) was revised to include supply and demand balances for fuel ethanol and MTBE. The STIFS model is used for producing forecasts in the Short-Term Energy Outlook. A review of the historical data sources and forecasting methodology for oxygenate production, imports, inventories, and demand is presented in this report.

  4. Gas Centrifuge Enrichment Plant Safeguards System Modeling

    SciTech Connect (OSTI)

    Elayat, H A; O'Connell, W J; Boyer, B D

    2006-06-05

    The U.S. Department of Energy (DOE) is interested in developing tools and methods for potential U.S. use in designing and evaluating safeguards systems used in enrichment facilities. This research focuses on analyzing the effectiveness of the safeguards in protecting against the range of safeguards concerns for enrichment plants, including diversion of attractive material and unauthorized modes of use. We developed an Extend simulation model for a generic medium-sized centrifuge enrichment plant. We modeled the material flow in normal operation, plant operational upset modes, and selected diversion scenarios, for selected safeguards systems. Simulation modeling is used to analyze both authorized and unauthorized use of a plant and the flow of safeguards information. Simulation tracks the movement of materials and isotopes, identifies the signatures of unauthorized use, tracks the flow and compilation of safeguards data, and evaluates the effectiveness of the safeguards system in detecting misuse signatures. The simulation model developed could be of use to the International Atomic Energy Agency IAEA, enabling the IAEA to observe and draw conclusions that uranium enrichment facilities are being used only within authorized limits for peaceful uses of nuclear energy. It will evaluate improved approaches to nonproliferation concerns, facilitating deployment of enhanced and cost-effective safeguards systems for an important part of the nuclear power fuel cycle.

  5. Model documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System; Volume 1

    SciTech Connect (OSTI)

    1994-02-24

    The Natural Gas Transmission and Distribution Model (NGTDM) is a component of the National Energy Modeling System (NEMS) used to represent the domestic natural gas transmission and distribution system. NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the Energy Information Administration (EIA) and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. This report documents the archived version of NGTDM that was used to produce the natural gas forecasts used in support of the Annual Energy Outlook 1994, DOE/EIA-0383(94). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. It is intended to fulfill the legal obligation of the EIA to provide adequate documentation in support of its models (Public Law 94-385, Section 57.b.2). This report represents Volume 1 of a two-volume set. (Volume 2 will report on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.) Subsequent chapters of this report provide: (1) an overview of the NGTDM (Chapter 2); (2) a description of the interface between the National Energy Modeling System (NEMS) and the NGTDM (Chapter 3); (3) an overview of the solution methodology of the NGTDM (Chapter 4); (4) the solution methodology for the Annual Flow Module (Chapter 5); (5) the solution methodology for the Distributor Tariff Module (Chapter 6); (6) the solution methodology for the Capacity Expansion Module (Chapter 7); (7) the solution methodology for the Pipeline Tariff Module (Chapter 8); and (8) a description of model assumptions, inputs, and outputs (Chapter 9).

  6. An Equilibrium-Based Model of Gas Reaction and Detonation

    SciTech Connect (OSTI)

    Trowbridge, L.D.

    2000-04-01

    During gaseous diffusion plant operations, conditions leading to the formation of flammable gas mixtures may occasionally arise. Currently, these could consist of the evaporative coolant CFC-114 and fluorinating agents such as F2 and ClF3. Replacement of CFC-114 with a non-ozone-depleting substitute is planned. Consequently, in the future, the substitute coolant must also be considered as a potential fuel in flammable gas mixtures. Two questions of practical interest arise: (1) can a particular mixture sustain and propagate a flame if ignited, and (2) what is the maximum pressure that can be generated by the burning (and possibly exploding) gas mixture, should it ignite? Experimental data on these systems, particularly for the newer coolant candidates, are limited. To assist in answering these questions, a mathematical model was developed to serve as a tool for predicting the potential detonation pressures and for estimating the composition limits of flammability for these systems based on empirical correlations between gas mixture thermodynamics and flammability for known systems. The present model uses the thermodynamic equilibrium to determine the reaction endpoint of a reactive gas mixture and uses detonation theory to estimate an upper bound to the pressure that could be generated upon ignition. The model described and documented in this report is an extended version of related models developed in 1992 and 1999.

  7. Off-gas Adsorption Model and Simulation - OSPREY

    SciTech Connect (OSTI)

    Veronica J Rutledge

    2013-10-01

    The absence of industrial scale nuclear fuel reprocessing in the U.S. has precluded the necessary driver for developing the advanced simulation capability now prevalent in so many other countries. Thus, it is essential to model complex series of unit operations to simulate, understand, and predict inherent transient behavior. A capability of accurately simulating the dynamic behavior of advanced fuel cycle separation processes is expected to provide substantial cost savings and many technical benefits. To support this capability, a modeling effort focused on the off-gas treatment system of a used nuclear fuel recycling facility is in progress. The off-gas separation consists of a series of scrubbers and adsorption beds to capture constituents of interest. Dynamic models are being developed to simulate each unit operation involved so each unit operation can be used as a stand-alone model and in series with multiple others. Currently, an adsorption model has been developed within Multi-physics Object Oriented Simulation Environment (MOOSE) developed at the Idaho National Laboratory (INL). Off-gas Separation and REcoverY (OSPREY) models the adsorption of offgas constituents for dispersed plug flow in a packed bed under non-isothermal and non-isobaric conditions. Inputs to the model include gas composition, sorbent and column properties, equilibrium and kinetic data, and inlet conditions. The simulation outputs component concentrations along the column length as a function of time from which breakthrough data can be obtained. The breakthrough data can be used to determine bed capacity, which in turn can be used to size columns. In addition to concentration data, the model predicts temperature along the column length as a function of time and pressure drop along the column length. A description of the OSPREY model, results from krypton adsorption modeling and plans for modeling the behavior of iodine, xenon, and tritium will be discussed.

  8. A gas kick model for the personal computer 

    E-Print Network [OSTI]

    Miller, Clayton Lowell

    1987-01-01

    A GAS KICK MODEL FOR THE PERSONAL COMPUTER A Thesis by CLAYTON LOWELL MILLER Submitted to the Graduate College of Texas A6M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May 1987 Major Subject...: Petroleum Engineering A GAS KICK MODEL FOR THE PERSONAL COMPUTER A Thesis by CLAYTON LOWELL MILLER Approved as to style and content by: Wana C. vkam-Wold (Chair f Committee) Robert W. Heine (Member) Tibor G. Rozg yi (Member) W. D. Von Gonten Head...

  9. A multi-echelon supply chain model for municipal solid waste management system

    SciTech Connect (OSTI)

    Zhang, Yimei; Huang, Guo He; He, Li

    2014-02-15

    In this paper, a multi-echelon multi-period solid waste management system (MSWM) was developed by inoculating with multi-echelon supply chain. Waste managers, suppliers, industries and distributors could be engaged in joint strategic planning and operational execution. The principal of MSWM system is interactive planning of transportation and inventory for each organization in waste collection, delivery and disposal. An efficient inventory management plan for MSWM would lead to optimized productivity levels under available capacities (e.g., transportation and operational capacities). The applicability of the proposed system was illustrated by a case with three cities, one distribution and two waste disposal facilities. Solutions of the decision variable values under different significant levels indicate a consistent trend. With an increased significant level, the total generated waste would be decreased, and the total transported waste through distribution center to waste to energy and landfill would be decreased as well.

  10. NATURAL GAS MARKET ASSESSMENT

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION NATURAL GAS MARKET ASSESSMENT PRELIMINARY RESULTS In Support.................................................................................... 6 Chapter 2: Natural Gas Demand.................................................................................................. 10 Chapter 3: Natural Gas Supply

  11. Modeling acid-gas generation from boiling chloride brines

    SciTech Connect (OSTI)

    Zhang, Guoxiang; Spycher, Nicolas; Sonnenthal, Eric; Steefel, Carl

    2009-11-16

    This study investigates the generation of HCl and other acid gases from boiling calcium chloride dominated waters at atmospheric pressure, primarily using numerical modeling. The main focus of this investigation relates to the long-term geologic disposal of nuclear waste at Yucca Mountain, Nevada, where pore waters around waste-emplacement tunnels are expected to undergo boiling and evaporative concentration as a result of the heat released by spent nuclear fuel. Processes that are modeled include boiling of highly concentrated solutions, gas transport, and gas condensation accompanied by the dissociation of acid gases, causing low-pH condensate. Simple calculations are first carried out to evaluate condensate pH as a function of HCl gas fugacity and condensed water fraction for a vapor equilibrated with saturated calcium chloride brine at 50-150 C and 1 bar. The distillation of a calcium-chloride-dominated brine is then simulated with a reactive transport model using a brine composition representative of partially evaporated calcium-rich pore waters at Yucca Mountain. Results show a significant increase in boiling temperature from evaporative concentration, as well as low pH in condensates, particularly for dynamic systems where partial condensation takes place, which result in enrichment of HCl in condensates. These results are in qualitative agreement with experimental data from other studies. The combination of reactive transport with multicomponent brine chemistry to study evaporation, boiling, and the potential for acid gas generation at the proposed Yucca Mountain repository is seen as an improvement relative to previously applied simpler batch evaporation models. This approach allows the evaluation of thermal, hydrological, and chemical (THC) processes in a coupled manner, and modeling of settings much more relevant to actual field conditions than the distillation experiment considered. The actual and modeled distillation experiments do not represent expected conditions in an emplacement drift, but nevertheless illustrate the potential for acid-gas generation at moderate temperatures (<150 C).

  12. Acclimate--a model for economic damage propagation. Part 1: basic formulation of damage transfer within a global supply

    E-Print Network [OSTI]

    Levermann, Anders

    failure, price responses and adaptive changes in the economic supply network. The underlying global supply network is based on data from multi-regional input­output tables. Transportation times are derived from

  13. Settlement Prediction, Gas Modeling and Slope Stability Analysis

    E-Print Network [OSTI]

    Politècnica de Catalunya, Universitat

    Settlement Prediction, Gas Modeling and Slope Stability Analysis in Coll Cardús Landfill Li Yu UNIVERSIDAD POLITÉCNICA DE CATALUÑA April, 2007 GEOMODELS #12;Introduction to Coll Cardús landfill Prediction of settlement in Coll Cardús landfill 1) Settlement prediction by empirical method 2) Settlement prediction

  14. Assessing reliability in energy supply systems

    E-Print Network [OSTI]

    McCarthy, Ryan W.; Ogden, Joan M.; Sperling, Daniel

    2007-01-01

    liquefied natural gas (LNG) trading expected to increase insteam reformation production facility using imported LNG.The LNG supplies come primarily from Trinidad and Tobago,

  15. Assessing Reliability in Energy Supply Systems

    E-Print Network [OSTI]

    McCarthy, Ryan; Ogden, Joan M.; Sperling, Dan

    2008-01-01

    liquefied natural gas (LNG) trading expected to increase insteam reformation production facility using imported LNG.The LNG supplies come primarily from Trinidad and Tobago,

  16. Econometric Modelling of World Oil Supplies: Terminal Price and the Time to Depletion

    E-Print Network [OSTI]

    Mohaddes, Kamiar

    2012-03-02

    ¤erent to various sources of energy, such as coal, natural gas, oil, and nuclear. Thus it is appropriate to ?rst look at the demand for energy before determining the speci?c demand for oil. The main reason for this is that although its composition will change... -run relationships when it comes to the demand for oil, given that countries impose subsidies and taxes on energy to di¤erent degrees. On the other hand there are often good reasons to expect that long-run relationships between variables are homogeneous across...

  17. Dynamics of the Oil Transition: Modeling Capacity, Costs, and Emissions

    E-Print Network [OSTI]

    Brandt, Adam R.; Farrell, Alexander E.

    2008-01-01

    and income on energy and oil demand. Energy Journal, 23(1):conventional oil supply and demand. But, interestingly,World crude oil and natural gas: a demand and supply model.

  18. Multiscale model reduction for shale gas transport in fractured media

    E-Print Network [OSTI]

    Akkutlu, I Y; Vasilyeva, Maria

    2015-01-01

    In this paper, we develop a multiscale model reduction technique that describes shale gas transport in fractured media. Due to the pore-scale heterogeneities and processes, we use upscaled models to describe the matrix. We follow our previous work \\cite{aes14}, where we derived an upscaled model in the form of generalized nonlinear diffusion model to describe the effects of kerogen. To model the interaction between the matrix and the fractures, we use Generalized Multiscale Finite Element Method. In this approach, the matrix and the fracture interaction is modeled via local multiscale basis functions. We developed the GMsFEM and applied for linear flows with horizontal or vertical fracture orientations on a Cartesian fine grid. In this paper, we consider arbitrary fracture orientations and use triangular fine grid and developed GMsFEM for nonlinear flows. Moreover, we develop online basis function strategies to adaptively improve the convergence. The number of multiscale basis functions in each coarse region ...

  19. Model of medical supply demand and astronaut health for long-duration human space flight

    E-Print Network [OSTI]

    Assad, Albert

    2009-01-01

    The medical care of space crews is the primary limiting factor in the achievement of long-duration space missions. (Nicogossian 2003) The goal of this thesis was to develop a model of long-duration human space flight ...

  20. An optimization model for strategic supply chain design under stochastic capacity disruptions 

    E-Print Network [OSTI]

    Luna Coronado, Jaime

    2009-05-15

    .6. Numerical Example ...................................................................................... 54 6. OPTIMIZATION PROCEDURE ....................................................................... 60 6.1. Sample Average Approximation (SAA... ................................................................................ 66 7. IMPLEMENTATION AND NUMERICAL EXAMPLES????? ???.. 70 7.1. Model Implementation ................................................................................. 71 7.2. Numerical Examples...

  1. Models and Solution Approaches for Emergency Response Network Design Integrating Supply and Demand Sides 

    E-Print Network [OSTI]

    Dalal, Jyotirmoy

    2014-12-02

    . Our model captures the trade-offs between system cost and critical time to start relief distribution, and can aid an emergency manager in strategic decision making under various uncertainties. Our third study combines the stochastic and robust...

  2. Reverse supply chain forecasting and decision modeling for improved inventory management

    E-Print Network [OSTI]

    Petersen, Brian J. (Brian Jude)

    2013-01-01

    This thesis details research performed during a six-month engagement with Verizon Wireless (VzW) in the latter half of 2012. The key outcomes are a forecasting model and decision-support framework to improve management of ...

  3. Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets

    E-Print Network [OSTI]

    Wong-Parodi, Gabrielle; Dale, Larry; Lekov, Alex

    2005-01-01

    Update on Petroleum, Natural Gas, Heating Oil and Gasoline.of the Market for Natural Gas Futures. Energy Journal 16 (Modeling Forum. 2003. Natural Gas, Fuel Diversity and North

  4. Gas-Liquid Coexistence in the Primitive Model for Water

    E-Print Network [OSTI]

    F. Romano; P. Tartaglia; F. Sciortino

    2007-05-08

    We evaluate the location of the gas-liquid coexistence line and of the associated critical point for the primitive model for water (PMW), introduced by Kolafa and Nezbeda [J. Kolafa and I. Nezbeda, Mol. Phys. 61, 161 (1987)]. Besides being a simple model for a molecular network forming liquid, the PMW is representative of patchy proteins and novel colloidal particles interacting with localized directional short-range attractions. We show that the gas-liquid phase separation is metastable, i.e. it takes place in the region of the phase diagram where the crystal phase is thermodynamically favored, as in the case of articles interacting via short-range attractive spherical potentials. Differently from spherical potentials, we do not observe crystallization close to the critical point. The region of gas-liquid instability of this patchy model is significantly reduced as compared to equivalent models of spherically interacting particles, confirming the possibility of observing kinetic arrest in an homogeneous sample driven by bonding as opposed to packing.

  5. Power supply

    DOE Patents [OSTI]

    Yakymyshyn, Christopher Paul (Seminole, FL); Hamilton, Pamela Jane (Seminole, FL); Brubaker, Michael Allen (Loveland, CO)

    2007-12-04

    A modular, low weight impedance dropping power supply with battery backup is disclosed that can be connected to a high voltage AC source and provide electrical power at a lower voltage. The design can be scaled over a wide range of input voltages and over a wide range of output voltages and delivered power.

  6. Petroleum supply monthly

    SciTech Connect (OSTI)

    1995-10-01

    The Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other publications are the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report, and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blends, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States.

  7. Petroleum Supply Monthly

    SciTech Connect (OSTI)

    1996-02-01

    The Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other publications are the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report, and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major U.S. geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics.

  8. Implications of a Regime-Switching Model on Natural Gas Storage Valuation and Optimal Operation

    E-Print Network [OSTI]

    Forsyth, Peter A.

    Implications of a Regime-Switching Model on Natural Gas Storage Valuation and Optimal Operation-switching model for the risk adjusted natural gas spot price and study the implications of the model on the valuation and optimal operation of natural gas storage facilities. We calibrate the model parameters to both

  9. Modeling non-annular flow in gas condensate wells

    SciTech Connect (OSTI)

    Garber, J.D.; Varanasi, N.R.S. [Univ. of Southwestern Louisiana, Lafayette, LA (United States). Corrosion Research Center

    1997-09-01

    As gas condensate wells mature they begin producing less gas and more formation water. At this point the wells will likely begin to experience non-annular flow. A model has been developed which fully describes slug flow, and a criterion has been established to locate the slug-churn hydrodynamic transition in the non-annular region. The model has been verified using laboratory generated data. It has been applied to several wells being produced in the Gulf of Mexico to indicate whether they are in slug or churn flow. The information generated has been useful in providing a method for calculating the residence time of the liquids inside the tubing and the pressure drop per 100 feet of tubing.

  10. Using Coupled Harmonic Oscillators to Model Some Greenhouse Gas Molecules

    SciTech Connect (OSTI)

    Go, Clark Kendrick C.; Maquiling, Joel T.

    2010-07-28

    Common greenhouse gas molecules SF{sub 6}, NO{sub 2}, CH{sub 4}, and CO{sub 2} are modeled as harmonic oscillators whose potential and kinetic energies are derived. Using the Euler-Lagrange equation, their equations of motion are derived and their phase portraits are plotted. The authors use these data to attempt to explain the lifespan of these gases in the atmosphere.

  11. Gas Network Optimization: A comparison of Piecewise Linear Models

    E-Print Network [OSTI]

    2014-06-22

    Gas network optimization manages the gas transport by minimizing operating costs and .... This problem represents the transportation process of natural gas. 79.

  12. Sorption Modeling and verification for Off-Gas Treatment

    SciTech Connect (OSTI)

    Tavlarides, Lawrence L.; Lin, Ronghong; Nan, Yue; Yiacoumi, Sotira; Tsouris, Costas; Ladshaw, Austin; Sharma, Ketki; Gabitto, Jorge; DePaoli, David

    2015-04-29

    The project has made progress toward developing a comprehensive modeling capability for the capture of target species in off gas evolved during the reprocessing of nuclear fuel. The effort has integrated experimentation, model development, and computer code development for adsorption and absorption processes. For adsorption, a modeling library has been initiated to include (a) equilibrium models for uptake of off-gas components by adsorbents, (b) mass transfer models to describe mass transfer to a particle, diffusion through the pores of the particle and adsorption on the active sites of the particle, and (c) interconnection of these models to fixed bed adsorption modeling which includes advection through the bed. For single-component equilibria, a Generalized Statistical Thermodynamic Adsorption (GSTA) code was developed to represent experimental data from a broad range of isotherm types; this is equivalent to a Langmuir isotherm in the two-parameter case, and was demonstrated for Kr on INL engineered sorbent HZ PAN, water sorption on molecular sieve 3A sorbent material (MS3A), and Kr and Xe capture on metal-organic framework (MOF) materials. The GSTA isotherm was extended to multicomponent systems through application of a modified spreading pressure surface activity model and generalized predictive adsorbed solution theory; the result is the capability to estimate multicomponent adsorption equilibria from single-component isotherms. This advance, which enhances the capability to simulate systems related to off-gas treatment, has been demonstrated for a range of real-gas systems in the literature and is ready for testing with data currently being collected for multicomponent systems of interest, including iodine and water on MS3A. A diffusion kinetic model for sorbent pellets involving pore and surface diffusion as well as external mass transfer has been established, and a methodology was developed for determining unknown diffusivity parameters from transient uptake data. Two parallel approaches have been explored for integrating the kernels described above into a mass-transport model for adsorption in fixed beds. In one, the GSTA isotherm kernel has been incorporated into the MOOSE framework; in the other approach, a focused finite-difference framework and PDE kernels have been developed. Issues, including oscillatory behavior in MOOSE solutions to advection-diffusion problems, and opportunities have been identified for each approach, and a path forward has been identified toward developing a stronger modeling platform. Experimental systems were established for collection of microscopic kinetics and equilibria data for single and multicomponent uptake of gaseous species on solid sorbents. The systems, which can operate at ambient temperature to 250°C and dew points from -69 to l7°C, are useful for collecting data needed for modeling performance of sorbents of interest. Experiments were conducted to determine applicable models and parameters for isotherms and mass transfer for water and/or iodine adsorption on MS3A. Validation experiments were also conducted for water adsorption on fixed beds ofMS3A. For absorption, work involved modeling with supportive experimentation. A dynamic model was developed to simulate C02 absorption with chemical reaction using high alkaline content water solutions. A computer code was developed to implement the model based upon transient mass and energy balances. Experiments were conducted in a laboratory-scale column to determine model parameters. The influence of geometric parameters and operating variables on C02 absorption was studied over a wide range of conditions. This project has resulted in 7 publications, with 3 manuscripts in preparation. Also, 15 presentations were given at national meetings of ANS and AIChE and at Material Recovery and Waste Forms Campaign Working Group meetings.

  13. A dark energy model alternative to generalized Chaplygin gas

    E-Print Network [OSTI]

    Hova, Hoavo

    2010-01-01

    We propose a new fluid model of dark energy for $-1 \\leq \\omega_{\\text{eff}} \\leq 0$ as an alternative to the generalized Chaplygin gas models. The energy density of dark energy fluid is severely suppressed during barotropic matter dominant epochs, and it dominates the universe evolution only for eras of small redshift. From the perspective of fundamental physics, the fluid is a tachyon field with a scalar potential flatter than that of power-law decelerated expansion. Different from the standard $\\Lambda\\text{CDM}$ model, the suggested dark energy model claims that the cosmic acceleration at present epoch can not continue forever but will cease in the near future and a decelerated cosmic expansion will recover afterwards.

  14. A dark energy model alternative to generalized Chaplygin gas

    E-Print Network [OSTI]

    Hoavo Hova; Huanxiong Yang

    2010-11-22

    We propose a new fluid model of dark energy for $-1 \\leq \\omega_{\\text{eff}} \\leq 0$ as an alternative to the generalized Chaplygin gas models. The energy density of dark energy fluid is severely suppressed during barotropic matter dominant epochs, and it dominates the universe evolution only for eras of small redshift. From the perspective of fundamental physics, the fluid is a tachyon field with a scalar potential flatter than that of power-law decelerated expansion. Different from the standard $\\Lambda\\text{CDM}$ model, the suggested dark energy model claims that the cosmic acceleration at present epoch can not continue forever but will cease in the near future and a decelerated cosmic expansion will recover afterwards.

  15. A physics-based emissions model for aircraft gas turbine combustors

    E-Print Network [OSTI]

    Allaire, Douglas L

    2006-01-01

    In this thesis, a physics-based model of an aircraft gas turbine combustor is developed for predicting NO. and CO emissions. The objective of the model is to predict the emissions of current and potential future gas turbine ...

  16. A Supply Chain Network Game Theory Model with Product Differentiation, Outsourcing of Production and Distribution, and Quality and Price Competition

    E-Print Network [OSTI]

    Nagurney, Anna

    and Langley (1997)). In addition, depend- ing upon the location of the outsourcing of manufacturing, firms may products. Keywords: outsourcing, manufacturing, distribution, supply chain management, supply chain an immense impact on manufacturing industries as wide-ranging as pharmaceuticals to fast fashion to high

  17. Parameter identification in large-scale models for oil and gas production

    E-Print Network [OSTI]

    Van den Hof, Paul

    Parameter identification in large-scale models for oil and gas production Jorn F.M. Van Doren: Models used for model-based (long-term) operations as monitoring, control and optimization of oil and gas information to the identification problem. These options are illustrated with examples taken from oil and gas

  18. Modeled natural and excess radiocarbon: Sensitivities to the gas exchange formulation and ocean

    E-Print Network [OSTI]

    Fischlin, Andreas

    Modeled natural and excess radiocarbon: Sensitivities to the gas exchange formulation and ocean. Stocker (2008), Modeled natural and excess radiocarbon: Sensitivities to the gas exchange formulation descriptions of the air-sea gas exchange the models produce similar column inventories for excess 14 C among

  19. Petroleum supply monthly, August 1993

    SciTech Connect (OSTI)

    Not Available

    1993-09-01

    This publication the Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other publications are the Weekly Petroleum Status Report, (WPSR), the Winter Fuels Report, and the Petroleum Supply Annual (PSA). Data presented describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. Data presented are divided into Summary Statistics and Detailed Statistics.

  20. Arbitrage free cointegrated models in gas and oil future markets

    E-Print Network [OSTI]

    Benmenzer, Grégory; Jérusalem, Céline

    2007-01-01

    In this article we present a continuous time model for natural gas and crude oil future prices. Its main feature is the possibility to link both energies in the long term and in the short term. For each energy, the future returns are represented as the sum of volatility functions driven by motions. Under the risk neutral probability, the motions of both energies are correlated Brownian motions while under the historical probability, they are cointegrated by a Vectorial Error Correction Model. Our approach is equivalent to defining the market price of risk. This model is free of arbitrage: thus, it can be used for risk management as well for option pricing issues. Calibration on European market data and numerical simulations illustrate well its behavior.

  1. Modeling coiled-tubing velocity strings for gas wells

    SciTech Connect (OSTI)

    Martinez, J.; Martinez, A.

    1998-02-01

    Because of its ability to prolong well life, its relatively low expense, and the relative ease with which it is installed, coiled tubing has become a preferred remedial method of tubular completion for gas wells. Of course, the difficulty in procuring wireline-test data is a drawback to verifying the accuracy of the assumptions and predictions used for coiled-tubing selection. This increases the importance of the prediction-making process, and, as a result, places great emphasis on the modeling methods that are used. This paper focuses on the processes and methods for achieving sound multiphase-flow predictions by looking at the steps necessary to arrive at coiled-tubing selection. Furthermore, this paper examines the variables that serve as indicators of the viability of each tubing size, especially liquid holdup. This means that in addition to methodology, emphasis is placed on the use of a good wellbore model. The computer model discussed is in use industry wide.

  2. Decision Models for Bulk Energy Transportation Networks

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    & pipelines · Coal mines & rail/barges · Storage · Electricity market · Electric gen & trans · Costs ... ... Primary Energy Supplies Gas Coal Railroad, Barge ... ... Storage & Transportation Systems Energy Transportation Networks #12;Structural Model: Energy Flows GAS COAL ELECTRIC Case A: 2002

  3. MELTING OF GLASS BATCH: MODEL FOR MULTIPLE OVERLAPPING GAS-EVOLVING...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: MELTING OF GLASS BATCH: MODEL FOR MULTIPLE OVERLAPPING GAS-EVOLVING REACTIONS Citation Details In-Document Search Title: MELTING OF GLASS BATCH: MODEL FOR MULTIPLE...

  4. Petroleum supply monthly, April 1994

    SciTech Connect (OSTI)

    Not Available

    1994-04-01

    Data presented in the Petroleum Supply Monthly (PSM) describe the supply and disposition of petroleum products in the United States and major US geographical regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the US. The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the US.

  5. Petroleum supply monthly, February 1994

    SciTech Connect (OSTI)

    Not Available

    1994-03-01

    The Petroleum Supply Monthly presents data describing the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the US. The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders; operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. Data are divided into two sections: Summary statistics and Detailed statistics.

  6. Natural gas transmission and distribution model of the National Energy Modeling System

    SciTech Connect (OSTI)

    1997-02-01

    The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. From 1982 through 1993, the Intermediate Future Forecasting System (IFFS) was used by the EIA for its analyses, and the Gas Analysis Modeling System (GAMS) was used within IFFS to represent natural gas markets. Prior to 1982, the Midterm Energy Forecasting System (MEFS), also referred to as the Project Independence Evaluation System (PIES), was employed. NEMS was developed to enhance and update EIA`s modeling capability by internally incorporating models of energy markets that had previously been analyzed off-line. In addition, greater structural detail in NEMS permits the analysis of a broader range of energy issues. The time horizon of NEMS is the midterm period (i.e., through 2015). In order to represent the regional differences in energy markets, the component models of NEMS function at regional levels appropriate for the markets represented, with subsequent aggregation/disaggregation to the Census Division level for reporting purposes.

  7. U.S. GEOLOGICAL SURVEY ASSESSMENT MODEL FOR UNDISCOVERED CONVENTIONAL OIL, GAS, AND NGL

    E-Print Network [OSTI]

    Laughlin, Robert B.

    AM-i Chapter AM U.S. GEOLOGICAL SURVEY ASSESSMENT MODEL FOR UNDISCOVERED CONVENTIONAL OIL, GAS Survey (USGS) periodically conducts assessments of the oil, gas, and natural-gas liquids (NGL) resources by the USGS in1998 for undiscovered oil, gas, and NGL resources that reside in conventional accumulations

  8. MODELING AND CONTROL OF A O2/CO2 GAS TURBINE CYCLE FOR CO2 CAPTURE

    E-Print Network [OSTI]

    Foss, Bjarne A.

    MODELING AND CONTROL OF A O2/CO2 GAS TURBINE CYCLE FOR CO2 CAPTURE Lars Imsland Dagfinn Snarheim and control of a semi-closed O2/CO2 gas turbine cycle for CO2 capture. In the first part the process predictive control, Gas turbines, CO2 capture 1. INTRODUCTION Gas turbines are widely used for power

  9. REGIONAL WATER SUPPLY PLANNING AND

    E-Print Network [OSTI]

    Mays, Larry W.

    CHAPTER 3 REGIONAL WATER SUPPLY PLANNING AND CAPACITY EXPANSION MODELS Messele Z. Ejeta California Department of Water Resources Sacramento, California Larry W. Mays Department of Civil and Environmental Engineering Arizona State University Tempe, Arizona 3.1 INTRODUCTION Water supply planning on a regional scale

  10. Investigations of swirl flames in a gas turbine model combustor

    SciTech Connect (OSTI)

    Meier, W.; Duan, X.R.; Weigand, P.

    2006-01-01

    The thermochemical states of three swirling CH{sub 4}/air diffusion flames, stabilized in a gas turbine model combustor, were investigated using laser Raman scattering. The flames were operated at different thermal powers and air/fuel ratios and exhibited different flame behavior with respect to flame instabilities. They had previously been characterized with respect to their flame structures, velocity fields, and mean values of temperature, major species concentrations, and mixture fraction. The single-pulse multispecies measurements presented in this article revealed very rapid mixing of fuel and air, accompanied by strong effects of turbulence-chemistry interactions in the form of local flame extinction and ignition delay. Flame stabilization is accomplished mainly by hot and relatively fuel-rich combustion products, which are transported back to the flame root within an inner recirculation zone. The flames are not attached to the fuel nozzle, and are stabilized approximately 10 mm above the fuel nozzle, where fuel and air are partially premixed before ignition. The mixing and reaction progress in this area are discussed in detail. The flames are short (<50 mm), especially that exhibiting thermoacoustic oscillations, and reach a thermochemical state close to adiabatic equilibrium at the flame tip. The main goals of this article are to outline results that yield deeper insight into the combustion of gas turbine flames and to establish an experimental database for the validation of numerical models.

  11. Impact of Rotor Surface Velocity, Leakage Models and Real Gas Properties on Rotordynamic Force Predictions of Gas Labyrinth Seals 

    E-Print Network [OSTI]

    Thorat, Manish R.

    2010-07-14

    Rotordynamic coefficients of a gas labyrinth seal are assumed to be frequency independent. However, this assumption loses its validity as rotor surface velocity approaches Mach 1. The solution procedure of 1CV model by ...

  12. Why Supply Chain

    E-Print Network [OSTI]

    Datta, Shoumen

    2000-01-01

    Why supply chain explains the importance of supply chains. It includes an introduction to ERP as designed by SAP.

  13. Gas storage valuation and hedging. A quantification of the model risk.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Gas storage valuation and hedging. A quantification of the model risk. Patrick Henaff (1), Ismail and phrases. Energy markets; commodities; natural gas storage; model uncertainty. JEL Classification: C4; C5 and hedging of gas storage facilities, using a spot- based valuation framework coupled with a financial

  14. An integrative framework for architecting supply chains

    E-Print Network [OSTI]

    Cela Díaz, Fernando

    2006-01-01

    This thesis explores the limitations of classic models of supply chain management, and proposes a new view based on the concept of value-driven supply chains, and a method of analysis and design based on the concepts of ...

  15. Ammonia concentration modeling based on retained gas sampler data

    SciTech Connect (OSTI)

    Terrones, G.; Palmer, B.J.; Cuta, J.M.

    1997-09-01

    The vertical ammonia concentration distributions determined by the retained gas sampler (RGS) apparatus were modeled for double-shell tanks (DSTs) AW-101, AN-103, AN-104, and AN-105 and single-shell tanks (SSTs) A-101, S-106, and U-103. One the vertical transport of ammonia in the tanks were used for the modeling. Transport in the non-convective settled solids and floating solids layers is assumed to occur primarily via some type of diffusion process, while transport in the convective liquid layers is incorporated into the model via mass transfer coefficients based on empirical correlations. Mass transfer between the top of the waste and the tank headspace and the effects of ventilation of the headspace are also included in the models. The resulting models contain a large number of parameters, but many of them can be determined from known properties of the waste configuration or can be estimated within reasonable bounds from data on the waste samples themselves. The models are used to extract effective diffusion coefficients for transport in the nonconvective layers based on the measured values of ammonia from the RGS apparatus. The modeling indicates that the higher concentrations of ammonia seen in bubbles trapped inside the waste relative to the ammonia concentrations in the tank headspace can be explained by a combination of slow transport of ammonia via diffusion in the nonconvective layers and ventilation of the tank headspace by either passive or active means. Slow transport by diffusion causes a higher concentration of ammonia to build up deep within the waste until the concentration gradients between the interior and top of the waste are sufficient to allow ammonia to escape at the same rate at which it is being generated in the waste.

  16. Assessment of Supply Chain Energy Efficiency Potentials: A U.S. Case Study

    E-Print Network [OSTI]

    Masanet, Eric

    2010-01-01

    goods), changes to energy supply (e.g. , installation ofof best practice energy-efficient supply chain technologies.cycle assessment, energy efficiency, supply chain modeling,

  17. Alternate Water Supply System

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth DakotaRobbins and700, 1. .&. ' ,ALASKAAlternate Water Supply

  18. Modeling and Analysis of Natural Gas and Gasoline In A High Compressio...

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

    and Analysis of Natural Gas and Gasoline In A High Compression Ratio High Efficiency ICRE Modeling and Analysis of Natural Gas and Gasoline In A High Compression Ratio High...

  19. System Modeling of Gas Engine Driven Heat Pump

    SciTech Connect (OSTI)

    Mahderekal, Isaac [Oak Ridge National Laboratory (ORNL)] [Oak Ridge National Laboratory (ORNL); Shen, Bo [ORNL] [ORNL; Vineyard, Edward [Oak Ridge National Laboratory (ORNL)] [Oak Ridge National Laboratory (ORNL)

    2012-01-01

    To improve the system performance of the GHP, modeling and experimental study has been made by using desiccant system in cooling operation (particularly in high humidity operations) and suction line waste heat recovery to augment heating capacity and efficiency. The performance of overall GHP system has been simulated by using ORNL Modulating Heat Pump Design Software, which is used to predict steady-state heating and cooling performance of variable-speed vapor compression air-to-air heat pumps for a wide range of operational variables. The modeling includes: (1) GHP cycle without any performance improvements (suction liquid heat exchange and heat recovery) as a baseline (both in cooling and heating mode), (2) the GHP cycle in cooling mode with desiccant system regenerated by waste heat from engine incorporated, (3) GHP cycle in heating mode with heat recovery (recovered heat from engine). According to the system modeling results, by using desiccant system regenerated by waste heat from engine, the SHR can be lowered to 40%. The waste heat of the gas engine can boost the space heating efficiency by 25% in rated operating conditions.

  20. The 3He Supply Problem

    SciTech Connect (OSTI)

    Kouzes, Richard T.

    2009-05-01

    One of the main uses for 3He is in gas proportional counters for neutron detection. Radiation portal monitors deployed for homeland security and non-proliferation use such detectors. Other uses of 3He are for research detectors, commercial instruments, well logging detectors, dilution refrigerators, for targets or cooling in nuclear research, and for basic research in condensed matter physics. The US supply of 3He comes almost entirely from the decay of tritium used in nuclear weapons by the US and Russia. A few other countries contribute a small amount to the world’s 3He supply. Due to the large increase in use of 3He for homeland security, the supply has dwindled, and can no longer meet the demand. This white paper reviews the problems of supply, utilization, and alternatives.

  1. Supply Chain Performance Assessment and Supplier and Component Importance Identification

    E-Print Network [OSTI]

    Nagurney, Anna

    Supply Chain Performance Assessment and Supplier and Component Importance Identification and Motivation The Multitiered Supply Chain Network Game Theory Model with Suppliers Supply Chain Network Performance Measures and Supplier and Component Importance Identification The Algorithm Numerical Examples

  2. A Model for Stability Study of PFC Power Supplies Grace Chu, Chi K. Tse and Siu Chung Wong

    E-Print Network [OSTI]

    Tse, Chi K. "Michael"

    - alized averaging technique. However, the PFC boost converter has been assumed to be terminated information produced [3]. In practice, the PFC boost converter is always terminated by a downstream dc terminated PFC boost converter and the actual two-stage PFC power supply has been reported in [3

  3. Exact solutions in a model of vertical gas migration

    E-Print Network [OSTI]

    Silin, Dmitriy B.; Patzek, Tad W.; Benson, Sally M.

    2006-01-01

    VERTICAL GAS MIGRATION At a su?ciently large depth, the gasmigration, such an assumption is questionable, especially when dealing with shallow depths.migration and trapping. 9 If a con- nected gas plume extends between depths

  4. Strategic Eurasian Natural Gas Model for Energy Security

    E-Print Network [OSTI]

    Chyong, Chi Kong; Hobbs, Benjamin F.

    2011-04-06

    ) market power of transit countries, (ii) transmission pipelines in Russia, Ukraine, Belarus and Central Asia, (iii) differentiation among gas production regions in Russia, and (iv) gas trade relations between FSU countries (e.g., Gazprom’s re-exporting...

  5. A Three-Dimensional Computational Model of PEM Fuel Cell with Serpentine Gas Channels

    E-Print Network [OSTI]

    Victoria, University of

    A Three-Dimensional Computational Model of PEM Fuel Cell with Serpentine Gas Channels by Phong ABSTRACT A three-dimensional computational fluid dynamics model of a Polymer Electrolyte Membrane (PEM) fuel cell with serpentine gas flow channels is presented in this thesis. This comprehensive model

  6. Analytical model for transient gas flow in nuclear fuel rods. [PWR; BWR

    SciTech Connect (OSTI)

    Rowe, D.S.; Oehlberg, R.N.

    1981-08-01

    An analytical model for calculating gas flow and pressure inside a nuclear fuel rod is presented. Such a model is required to calculate the pressure loading of cladding during ballooning that could occur for postulated reactor accidents. The mathematical model uses a porous media (permeability) concept to define the resistance to gas flow along the fuel rod. 7 refs.

  7. Kinetic Model of Gas Bubble Dissolution in Groundwater and Its

    E-Print Network [OSTI]

    Aeschbach-Hertig, Werner

    diffusivities. Introduction The interaction of gas bubbles with a surrounding liquid is an essential part in both natural and technical gas exchange processes. In chemical engineering systems, the dissolution of a discrete gas phase that bubbles through either liquid or liquid-solid reactors is an important application

  8. Modelling and Numerical Simulation of Gas Migration in a Nuclear Waste Repository

    E-Print Network [OSTI]

    Bourgeat, Alain; Smai, Farid

    2010-01-01

    We present a compositional compressible two-phase, liquid and gas, flow model for numerical simulations of hydrogen migration in deep geological radioactive waste repository. This model includes capillary effects and the gas diffusivity. The choice of the main variables in this model, Total or Dissolved Hydrogen Mass Concentration and Liquid Pressure, leads to a unique and consistent formulation of the gas phase appearance and disappearance. After introducing this model, we show computational evidences of its adequacy to simulate gas phase appearance and disappearance in different situations typical of underground radioactive waste repository.

  9. A Channel Model for Wireless Sensor Networks in Gas Turbine Engines

    E-Print Network [OSTI]

    Atkinson, Robert C

    A Channel Model for Wireless Sensor Networks in Gas Turbine Engines K. Sasloglou, I. A. Glover , P.5 GHz) for wireless sensors deployed over the external surfaces of a gas turbine engine is reported turbine engine. I. INTRODUCTION Wireless sensing offers a potential step change in gas turbine engine

  10. The Hybrid Solid Oxide Fuel Cell (SOFC) and Gas Turbine (GT) Systems Steady State Modeling

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    The Hybrid Solid Oxide Fuel Cell (SOFC) and Gas Turbine (GT) Systems Steady State Modeling Penyarat plants offer high cycle efficiencies. In this work a hybrid solid oxide fuel cell and gas turbine power, Gas turbine, Hybrid, Solid Oxide Fuel Cell hal-00703135,version1-31May2012 Author manuscript

  11. Model of the radial distribution of gas in the blast furnace

    SciTech Connect (OSTI)

    Nikus, M.; Saxen, H. [Aabo Akademi Univ. (Finland). Dept. of Chemical Engineering

    1996-12-31

    This paper describes an on-line model for estimating the radial gas distribution in blast furnaces. The model is based on molar and energy flow balances for the blast furnace throat region, and utilizes the top gas temperature and gas temperature measurements from a fixed above-burden probe. The distribution of the gas flux is estimated by a Kalman filter. The method is illustrated to capture short-term dynamics and to detect sudden major changes in the gas distribution in Finnish blast furnace.

  12. Grain Boundary Percolation Modeling of Fission Gas Release in Oxide Fuels

    SciTech Connect (OSTI)

    Paul C. Millett; Michael R. Tonks; S. B. Biner

    2012-05-01

    We present a new approach to fission gas release modeling in oxide fuels based on grain boundary network percolation. The method accounts for variability in the bubble growth and coalescence rates on individual grain boundaries, and the resulting effect on macroscopic fission gas release. Two-dimensional representa- tions of fuel pellet microstructures are considered, and the resulting gas release rates are compared with traditional two-stage Booth models, which do not account for long-range percolation on grain boundary net- works. The results show that the requirement of percolation of saturated grain boundaries can considerably reduce the total gas release rates, particularly when gas resolution is considered.

  13. Supply Chain Networks, Electronic Commerce, and Supply Side and Demand Side Risk

    E-Print Network [OSTI]

    Nagurney, Anna

    Supply Chain Networks, Electronic Commerce, and Supply Side and Demand Side Risk Anna Nagurney as well as demand side risk are included in the formulation. The model consists of three tiers of decision chain network equilibrium model with electronic com- merce and with supply side and demand side risk

  14. Petroleum supply monthly, April 1990

    SciTech Connect (OSTI)

    1990-06-26

    The Petroleum Supply Monthly (PSM) is one of a family of three publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other two publications are the Weekly Petroleum Status Report (WPSR) and the Petroleum Supply Annual (PSA). Data presented in the Petroleum Supply Monthly describe (PSM) the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in Primary Supply.'' Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: (1) the Summary Statistics and (2) the Detailed Statistics.

  15. Natural gas annual 1995

    SciTech Connect (OSTI)

    1996-11-01

    The Natural Gas Annual provides information on the supply and disposition of natural gas to a wide audience including industry, consumers, Federal and State agencies, and educational institutions. The 1995 data are presented in a sequence that follows natural gas (including supplemental supplies) from its production to its end use. This is followed by tables summarizing natural gas supply and disposition from 1991 to 1995 for each Census Division and each State. Annual historical data are shown at the national level.

  16. Natural gas annual 1994

    SciTech Connect (OSTI)

    NONE

    1995-11-17

    The Natural Gas Annual provides information on the supply and disposition of natural gas to a wide audience including industry, consumers, Federal and State agencies, and educational institutions. The 1994 data are presented in a sequence that follows natural gas (including supplemental supplies) from its production to its end use. This is followed by tables summarizing natural gas supply and disposition from 1990 to 1994 for each Census Division and each State. Annual historical data are shown at the national level.

  17. Magnets and Power Supplies

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

    Up: APS Storage Ring Parameters Previous: Longitudinal bunch profile and Magnets and Power Supplies Dipole Magnets and Power Supplies Value Dipole Number 80+1 No. of power...

  18. Model operating permits for natural gas processing plants

    SciTech Connect (OSTI)

    Arend, C. [Hydro-Search, Inc., Houston, TX (United States)

    1995-12-31

    Major sources as defined in Title V of the Clean Air Act Amendments of 1990 that are required to submit an operating permit application will need to: Evaluate their compliance status; Determine a strategic method of presenting the general and specific conditions of their Model Operating Permit (MOP); Maintain compliance with air quality regulations. A MOP is prepared to assist permitting agencies and affected facilities in the development of operating permits for a specific source category. This paper includes a brief discussion of example permit conditions that may be applicable to various types of Title V sources. A MOP for a generic natural gas processing plant is provided as an example. The MOP should include a general description of the production process and identify emission sources. The two primary elements that comprise a MOP are: Provisions of all existing state and/or local air permits; Identification of general and specific conditions for the Title V permit. The general provisions will include overall compliance with all Clean Air Act Titles. The specific provisions include monitoring, record keeping, and reporting. Although Title V MOPs are prepared on a case-by-case basis, this paper will provide a general guideline of the requirements for preparation of a MOP. Regulatory agencies have indicated that a MOP included in the Title V application will assist in preparation of the final permit provisions, minimize delays in securing a permit, and provide support during the public notification process.

  19. Petroleum supply monthly, January 1994

    SciTech Connect (OSTI)

    Not Available

    1994-01-01

    Data presented describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States. The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States.

  20. Sandia Energy - Manufacturing Supply Chain

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

    Manufacturing Supply Chain Home Stationary Power Energy Conversion Efficiency Wind Energy Materials, Reliability, & Standards Manufacturing Supply Chain Manufacturing Supply...

  1. Supervisory Natural Gas Analyst

    Broader source: Energy.gov [DOE]

    The Department of Energys Office of Fossil Energy, Office of Oil and Natural Gas, Office of Oil and Gas Global Security and Supply (FE) is responsible for regulating natural gas imports and exports...

  2. Industrial Gas Turbines

    Broader source: Energy.gov [DOE]

    A gas turbine is a heat engine that uses high-temperature, high-pressure gas as the working fluid. Part of the heat supplied by the gas is converted directly into mechanical work. High-temperature,...

  3. Liquefied Natural Gas (LNG) Vapor Dispersion Modeling with Computational Fluid Dynamics Codes 

    E-Print Network [OSTI]

    Qi, Ruifeng

    2012-10-19

    Federal regulation 49 CFR 193 and standard NFPA 59A require the use of validated consequence models to determine the vapor cloud dispersion exclusion zones for accidental liquefied natural gas (LNG) releases. For modeling purposes, the physical...

  4. Single-event kinetic modeling of the hydrocracking of hydrogenated vacuum gas oil 

    E-Print Network [OSTI]

    Ertas, Alper T.

    2007-04-25

    The primary objective of the research project was to further develop a computer program modeling the hydrocracking of partially hydrogenated vacuum gas oil (HVGO), and to use the model to compare the theoretical product distribution to experimental...

  5. Oil and Gas CDT Development of a SUNTANS Baroclinic Model for 3D Oil

    E-Print Network [OSTI]

    Henderson, Gideon

    Oil and Gas CDT Development of a SUNTANS Baroclinic Model for 3D Oil Pollution Tracking Heriot will receive 20 weeks bespoke, residential training of broad relevance to the oil and gas industry: 10 weeks) Key Words Oil Spill, HF Radar, Trajectory Forecasting, Hydrodynamic Modelling, Oil Chemistry Overview

  6. Joint Modelling of Gas and Electricity spot prices N. Frikha1 , V. Lemaire2

    E-Print Network [OSTI]

    Boyer, Edmond

    Joint Modelling of Gas and Electricity spot prices N. Frikha1 , V. Lemaire2 October 13, 2010 for developing a risk management framework as well as pricing of options. Many derivatives on both electricity to price projects in energy (see [12] for an introduction). Thus, modelling jointly the evolution of gas

  7. Joint Modelling of Gas and Electricity spot prices N. Frikha1 , V. Lemaire2

    E-Print Network [OSTI]

    Joint Modelling of Gas and Electricity spot prices N. Frikha1 , V. Lemaire2 October 9, 2009 for developing a risk management framework as well as pricing of options. Many derivatives on both electricity to price projects in energy (see [10] for an introduction). Thus, modelling jointly the evolution of gas

  8. Interacting generalized Chaplygin gas model in non-flat universe

    E-Print Network [OSTI]

    M R Setare

    2007-11-04

    We employ the generalized Chaplygin gas of interacting dark energy to obtain the equation of state for the generalized Chaplygin gas energy density in non-flat universe. By choosing a negative value for $B$ we see that $w_{\\rm \\Lambda}^{eff}universe dominated by phantom dark energy.

  9. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1992-04-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--1990 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  10. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1991-09-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--90 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  11. Petroleum supply monthly, July 1993

    SciTech Connect (OSTI)

    Not Available

    1993-07-29

    Data presented in the Petroleum Supply Monthly (PSM) describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: Petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States.

  12. Petroleum supply monthly, August 1994

    SciTech Connect (OSTI)

    Not Available

    1994-08-26

    Data presented in the Petroleum Supply Monthly (PSM) describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics.

  13. Investigations of swirl flames in a gas turbine model combustor

    SciTech Connect (OSTI)

    Weigand, P.; Meier, W.; Duan, X.R.; Stricker, W.; Aigner, M.

    2006-01-01

    A gas turbine model combustor for swirling CH{sub 4}/air diffusion flames at atmospheric pressure with good optical access for detailed laser measurements is discussed. Three flames with thermal powers between 7.6 and 34.9 kW and overall equivalence ratios between 0.55 and 0.75 were investigated. These behave differently with respect to combustion instabilities: Flame A burned stably, flame B exhibited pronounced thermoacoustic oscillations, and flame C, operated near the lean extinction limit, was subject to sudden liftoff with partial extinction and reanchoring. One aim of the studies was a detailed experimental characterization of flame behavior to better understand the underlying physical and chemical processes leading to instabilities. The second goal of the work was the establishment of a comprehensive database that can be used for validation and improvement of numerical combustion models. The flow field was measured by laser Doppler velocimetry, the flame structures were visualized by planar laser-induced fluorescence (PLIF) of OH and CH radicals, and the major species concentrations, temperature, and mixture fraction were determined by laser Raman scattering. The flow fields of the three flames were quite similar, with high velocities in the region of the injected gases, a pronounced inner recirculation zone, and an outer recirculation zone with low velocities. The flames were not attached to the fuel nozzle and thus were partially premixed before ignition. The near field of the flames was characterized by fast mixing and considerable finite-rate chemistry effects. CH PLIF images revealed that the reaction zones were thin (=<0.5 mm) and strongly corrugated and that the flame zones were short (h=<50 mm). Despite the similar flow fields of the three flames, the oscillating flame B was flatter and opened more widely than the others. In the current article, the flow field, structures, and mean and rms values of the temperature, mixture fraction, and species concentrations are discussed. Turbulence intensities, mixing, heat release, and reaction progress are addressed. In a second article, the turbulence-chemistry interactions in the three flames are treated.

  14. Decision Models for Bulk Energy Transportation Networks

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    ... ... Primary Energy Supplies Gas Coal Railroad, Barge ... ... Storage & Transportation Systems Energy Transportation Networks #12;Structural Model: Energy Flows GAS COAL ELECTRIC Case A: 2002, and the amount of electricity generated #12;Structural Model: Effects of Katrina Average natural gas nodal price

  15. Computational Modeling for Dense Gas Dispersion for Variable Stability Classes 

    E-Print Network [OSTI]

    Chakroun, Mohamed Amine

    2015-05-21

    The spill of many chemicals such as Liquefied Natural Gas (LNG) on land or water results in its rapid vaporization and the formation of a dense cloud. The performance of a risk assessment for the spill of flammable chemicals requires...

  16. Supply Chain Supernetworks Random Demands

    E-Print Network [OSTI]

    Nagurney, Anna

    Supply Chain Supernetworks with Random Demands June Dong and Ding Zhang Department of Marketing of three tiers of decision-makers: the manufacturers, the distributors, and the retailers, with the demands equilibrium model with electronic commerce and with random demands for which modeling, qualitative analysis

  17. Models, Simulators, and Data-driven Resources for Oil and Natural Gas Research

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

    NETL provides a number of analytical tools to assist in conducting oil and natural gas research. Software, developed under various DOE/NETL projects, includes numerical simulators, analytical models, databases, and documentation.[copied from http://www.netl.doe.gov/technologies/oil-gas/Software/Software_main.html] Links lead users to methane hydrates models, preedictive models, simulators, databases, and other software tools or resources.

  18. Petroleum supply monthly, September 1991

    SciTech Connect (OSTI)

    Not Available

    1991-09-30

    The Petroleum Supply Monthly (PSM) is one of a family of three publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other two publications are the Weekly Petroleum Status Report (WPSR) and the Petroleum Supply Annual (PSA). Data presented in PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administrations for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 states and the District of Columbia). The reporting universe includes those petroleum sectors in Primary Supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections (1) the Summary Statistics and (2) the Detailed Statistics. 65 tabs.

  19. Petroleum supply monthly, February 1993

    SciTech Connect (OSTI)

    Not Available

    1993-03-02

    The Petroleum Supply Monthly (PSM) is one of a family of three publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other two publications are the Weekly Petroleum Status Report (WPSR) and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in Primary Supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections (1) the Summary Statistics and (2) the Detailed Statistics.

  20. Petroleum supply monthly, April 1993

    SciTech Connect (OSTI)

    Not Available

    1993-05-04

    The Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other publications are the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report, and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics.

  1. Petroleum Supply Monthly, August 1990

    SciTech Connect (OSTI)

    Not Available

    1990-10-30

    The Petroleum Supply Monthly (PSM) is one of a family of three publications produced by the Petroleum Supply Division within the Energy Information administration (EIA) reflecting different levels of data timeliness and completeness. The other two publications are the Weekly Petroleum Status Report (WPSR) and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) district movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in Primary Supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections (1) the Summary Statistics and (2) the Detailed Statistics.

  2. Petroleum Supply Monthly, September 1994

    SciTech Connect (OSTI)

    Not Available

    1994-09-01

    The Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timelines and completeness. The other publications are the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report, and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: Petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics.

  3. Petroleum supply monthly, October 1994

    SciTech Connect (OSTI)

    Not Available

    1994-10-27

    The Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other publications are the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report, and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: Petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics.

  4. Petroleum monthly supply, November 1992

    SciTech Connect (OSTI)

    Not Available

    1992-11-30

    The Petroleum Supply Monthly (PSM) is one of a family of three publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other two publications are the Weekly Petroleum Status Report (WPSR) and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in Primary Supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections (1) the Summary Statistics and (2) the Detailed Statistics.

  5. Petroleum supply monthly, November 1994

    SciTech Connect (OSTI)

    Not Available

    1994-11-29

    The Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other publications are the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report, and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics.

  6. Petroleum supply monthly, January 1989

    SciTech Connect (OSTI)

    Not Available

    1989-03-01

    The Petroleum Supply Monthly (PSM) is one of a family of three publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other two publications are the Weekly Petroleum Status Report (WPSR) and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 states and the District of Columbia). The reporting universe includes those petroleum sectors in ''Primary Supply.'' Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: (1) the Summary Statistics and (2) the Detailed Statistics. 12 figs., 46 tabs.

  7. Petroleum supply monthly, January 1993

    SciTech Connect (OSTI)

    Not Available

    1993-01-27

    The Petroleum Supply Monthly (PSM) is one of a family of three publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other two publications are the Weekly Petroleum Status Report (WPSR) and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in Primary Supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections (1) the Summary Statistics and (2) the Detailed Statistics.

  8. Petroleum supply monthly, December 1992

    SciTech Connect (OSTI)

    Not Available

    1992-12-29

    The Petroleum Supply Monthly (PSM) is one of a family of three publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other two publications are the Weekly Petroleum Status Report (WPSR) and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in Primary Supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections (1) the Summary Statistics and (2) the Detailed Statistics.

  9. Petroleum supply monthly, October 1992

    SciTech Connect (OSTI)

    Not Available

    1992-10-27

    The Petroleum Supply Monthly (PSM) is one of a family of three publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other two publications are the Weekly Petroleum Status Report (WPSR) and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in Primary Supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately, represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections (1) the Summary Statistics and (2) the Detailed Statistics.

  10. Petroleum supply monthly, May 1994

    SciTech Connect (OSTI)

    Not Available

    1994-05-27

    The Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other publications are the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report, and the Petroleum supply annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics.

  11. Petroleum supply monthly, October 1993

    SciTech Connect (OSTI)

    Not Available

    1993-10-26

    The Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other publications are the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report, and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics.

  12. Petroleum supply monthly, July 1994

    SciTech Connect (OSTI)

    Not Available

    1994-07-26

    The Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other publications are the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report, and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics.

  13. Petroleum supply monthly, June 1994

    SciTech Connect (OSTI)

    Not Available

    1994-06-28

    The Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other publications are the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report, and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics.

  14. Petroleum supply monthly, January 1996

    SciTech Connect (OSTI)

    1996-02-15

    The Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other publications are the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report, and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics.

  15. A simple model of gas flow in a porous powder compact

    SciTech Connect (OSTI)

    Shugard, Andrew D.; Robinson, David B.

    2014-04-01

    This report describes a simple model for ideal gas flow from a vessel through a bed of porous material into another vessel. It assumes constant temperature and uniform porosity. Transport is treated as a combination of viscous and molecular flow, with no inertial contribution (low Reynolds number). This model can be used to fit data to obtain permeability values, determine flow rates, understand the relative contributions of viscous and molecular flow, and verify volume calibrations. It draws upon the Dusty Gas Model and other detailed studies of gas flow through porous media.

  16. Uncertainty and sensitivity analysis of fission gas behavior in engineering-scale fuel modeling

    SciTech Connect (OSTI)

    G. Pastore; L.P. Swiler; J.D. Hales; S.R. Novascone; D.M. Perez; B.W. Spencer; L. Luzzi; P. Van Uffelen; R.L. Williamson

    2014-10-01

    The role of uncertainties in fission gas behavior calculations as part of engineering-scale nuclear fuel modeling is investigated using the BISON fuel performance code and a recently implemented physics-based model for the coupled fission gas release and swelling. Through the integration of BISON with the DAKOTA software, a sensitivity analysis of the results to selected model parameters is carried out based on UO2 single-pellet simulations covering different power regimes. The parameters are varied within ranges representative of the relative uncertainties and consistent with the information from the open literature. The study leads to an initial quantitative assessment of the uncertainty in fission gas behavior modeling with the parameter characterization presently available. Also, the relative importance of the single parameters is evaluated. Moreover, a sensitivity analysis is carried out based on simulations of a fuel rod irradiation experiment, pointing out a significant impact of the considered uncertainties on the calculated fission gas release and cladding diametral strain. The results of the study indicate that the commonly accepted deviation between calculated and measured fission gas release by a factor of 2 approximately corresponds to the inherent modeling uncertainty at high fission gas release. Nevertheless, higher deviations may be expected for values around 10% and lower. Implications are discussed in terms of directions of research for the improved modeling of fission gas behavior for engineering purposes.

  17. Supply Chain Performance Assessment and Supplier and Component Importance Identification

    E-Print Network [OSTI]

    Nagurney, Anna

    Supply Chain Performance Assessment and Supplier and Component Importance Identification on the paper: Li, D., Nagurney, A., 2015. Supply Chain Performance Assessment and Supplier and Component Background and Motivation The Multitiered Supply Chain Network Game Theory Model with Suppliers Supply Chain

  18. A one-dimensional model of vertical gas plume migration through a heterogeneous porous medium

    E-Print Network [OSTI]

    Patzek, Tadeusz W.

    A one-dimensional model of vertical gas plume migration through a heterogeneous porous medium Buoyancy Countercurrent flow Plume migration a b s t r a c t This work is motivated by the growing interest or inadvertently created conduits in the cap rock may result in a gas leakage from primary storage. Even

  19. Hybrid modeling of industrial energy consumption and greenhouse gas emissions with an application to Canada

    E-Print Network [OSTI]

    Hybrid modeling of industrial energy consumption and greenhouse gas emissions with an application explore the implications for Canada's industrial sector of an economy-wide, compulsory greenhouse gas of the Canadian industrial sector to GHG charges implemented throughout the economy, starting in the year 2006

  20. Universal model for water costs of gas exchange by animals and plants

    E-Print Network [OSTI]

    of the respiratory system near the outside of the organism, the gas consumed (oxygen or carbon dioxide meta- bolic and exchange systems. carbon dioxide | oxygen | respiration | temperature | scaling All for specific taxa, we integrate properties common to all terrestrial gas exchangers into a universal model

  1. Interacting polytropic gas model of phantom dark energy in non-flat universe

    E-Print Network [OSTI]

    K. Karami; S. Ghaffari; J. Fehri

    2009-11-25

    By introducing the polytropic gas model of interacting dark energy, we obtain the equation of state for the polytropic gas energy density in a non-flat universe. We show that for even polytropic index by choosing $K>Ba^{\\frac{3}{n}}$, one can obtain $\\omega^{\\rm eff}_{\\Lambda}universe dominated by phantom dark energy.

  2. Introduction Literature Review Integrated Electric Power Supply Chains Empirical Examples Conclusions An Integrated Electric Power Supply Chain and Fuel

    E-Print Network [OSTI]

    Nagurney, Anna

    Conclusions An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling Conclusions Outline Introduction Literature review An integrated electric power supply chain and fuel market Integrated Electric Power Supply Chains Empirical Examples Conclusions Electric Power Supply Chains and Fuel

  3. An integrated performance model for high temperature gas cooled reactor coated particle fuel

    E-Print Network [OSTI]

    Wang, Jing, 1976-

    2004-01-01

    The performance of coated fuel particles is essential for the development and deployment of High Temperature Gas Reactor (HTGR) systems for future power generation. Fuel performance modeling is indispensable for understanding ...

  4. Comparison of Single, Double, and Triple Linear Flow Models for Shale Gas/Oil Reservoirs 

    E-Print Network [OSTI]

    Tivayanonda, Vartit

    2012-10-19

    There have been many attempts to use mathematical method in order to characterize shale gas/oil reservoirs with multi-transverse hydraulic fractures horizontal well. Many authors have tried to come up with a suitable and practical mathematical model...

  5. Analysis of side end pressurized bump type gas foil bearings: a model anchored to test data 

    E-Print Network [OSTI]

    Kim, Tae Ho

    2009-05-15

    Comprehensive modeling of gas foil bearings (GFBs) anchored to reliable test data will enable the widespread usage of GFBs into novel turbomachinery applications, such as light weight business aircraft engines, hybrid fuel cell-turbine power systems...

  6. 3-DIMENSIONAL GEOMECHANICAL MODELING OF A TIGHT GAS RESERVOIR, RULISON FIELD, PICEANCE BASIN, COLORADO

    E-Print Network [OSTI]

    3-DIMENSIONAL GEOMECHANICAL MODELING OF A TIGHT GAS RESERVOIR, RULISON FIELD, PICEANCE BASIN, COLORADO by Kurtis R. Wikel #12;ii #12;iii ABSTRACT An integrated 3-dimensional geomechanical model have used the predictive geomechanical model to compare production and effective stress change

  7. Development of a compressor model for gas network simulation Supervisor: Johan Romate (Shell/TUD)

    E-Print Network [OSTI]

    Vuik, Kees

    /TUD) Problem background Oil and gas flowing out of a reservoir enter a production network of pipelines flow is modelled in network simulators. The flow through these network elements can be modelled.g. algebraic pressure drop models for simple approximations, or the one-dimensional Euler equations

  8. Feedstock Supply System Logistics

    SciTech Connect (OSTI)

    None

    2006-06-01

    Feedstock supply is a significant cost component in the production of biobased fuels, products, and power. The uncertainty of the biomass feedstock supply chain and associated risks are major barriers to procuring capital funding for start-up biorefineries.

  9. Modeling acid-gas generation from boiling chloride brines

    E-Print Network [OSTI]

    Zhang, Guoxiang

    2010-01-01

    solutions, Journal of nuclear technology 2008, 164:180– 35.Modeling and Analysis. Nuclear Technology 1993, 104: 418- 2.

  10. Analytical model of the temperature dependent properties of microresonators immersed in a gas

    SciTech Connect (OSTI)

    Ilin, E. A.; Kehrbusch, J.; Radzio, B.; Oesterschulze, E. [Physics and Technology of Nanostructures, Nano-Bio-Center, University of Kaiserslautern, Erwin-Schroedinger Strasse 46, 67663 Kaiserslautern (Germany)

    2011-02-01

    A comprehensive theoretical model of microresonators immersed in a viscous gas of varying temperature is presented and verified by experiments. Analytical expressions for both the temperature dependent resonant frequency and quality factor of the first flexural eigenmode were derived extending Sader's theory of viscous damping to small temperature variations. The model provides useful implications for the thermal stabilization of microresonators immersed in a gas as well as for the reduction in the influence of the temperature dependent gas properties on the resonant frequency. Finally, an analytical expression is deduced for the mass detection capability of a microresonator that undergoes temperature variations.

  11. Petroleum supply monthly, March 1989

    SciTech Connect (OSTI)

    Not Available

    1989-05-24

    The Petroleum Supply Monthly (PSM) is one of a family of three publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in ''Primary Supply.'' Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections (1) the Summary Statistics and (2) the Detailed Statistics.

  12. DEVELOPMENT AND VALIDATION OF A MULTIFIELD MODEL OF CHURN-TURBULENT GAS/LIQUID FLOWS

    SciTech Connect (OSTI)

    Elena A. Tselishcheva; Steven P. Antal; Michael Z. Podowski; Donna Post Guillen

    2009-07-01

    The accuracy of numerical predictions for gas/liquid two-phase flows using Computational Multiphase Fluid Dynamics (CMFD) methods strongly depends on the formulation of models governing the interaction between the continuous liquid field and bubbles of different sizes. The purpose of this paper is to develop, test and validate a multifield model of adiabatic gas/liquid flows at intermediate gas concentrations (e.g., churn-turbulent flow regime), in which multiple-size bubbles are divided into a specified number of groups, each representing a prescribed range of sizes. The proposed modeling concept uses transport equations for the continuous liquid field and for each bubble field. The overall model has been implemented in the NPHASE-CMFD computer code. The results of NPHASE-CMFD simulations have been validated against the experimental data from the TOPFLOW test facility. Also, a parametric analysis on the effect of various modeling assumptions has been performed.

  13. Empirical Math Model: Ideal Gas Law | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-inPPL EnergyPlus,DepartmentFederal Register Noticeofseven1-20,AntonioWhat are

  14. Resilience of natural gas networks during conflicts, crises and disruptions

    E-Print Network [OSTI]

    Carvalho, Rui; Bono, Flavio; Masera, Marcelo; Arrowsmith, David K; Helbing, Dirk

    2013-01-01

    Human conflict, geopolitical crises, terrorist attacks, and natural disasters can turn large parts of energy distribution networks offline. Europe's current gas supply network is largely dependent on deliveries from Russia and North Africa, creating vulnerabililties to social and political instabilities. During crises, less delivery may mean greater congestion, as the pipeline network is used in ways it has not been designed for. Given the importance of the security of natural gas supply, we develop a model to handle network congestion on various geographical scales. We offer a resilient response strategy to energy shortages and quantify its effectiveness for a variety of relevant scenarios. In essence, Europe's gas supply can be made robust even to major supply disruptions, if a fair distribution strategy is applied.

  15. Development of a natural gas systems analysis model (GSAM). Annual report, July 1994--June 1995

    SciTech Connect (OSTI)

    NONE

    1995-07-01

    North American natural gas markets have changed dramatically over the past decade. A competitive, cost-conscious production, transportation, and distribution system has emerged from the highly regulated transportation wellhead pricing structure of the 1980`s. Technology advances have played an important role in the evolution of the gas industry, a role likely to expand substantially as alternative fuel price competition and a maturing natural gas resource base force operators to maximize efficiency. Finally, significant changes continue in regional gas demand patterns, industry practices, and infrastructure needs. As the complexity of the gas system grows so does the need to evaluate and plan for alternative future resource, technology, and market scenarios. Traditional gas modeling systems focused solely on the econometric aspects of gas marketing. These systems, developed to assess a regulated industry at a high level of aggregation, rely on simple representation of complex and evolving systems, thereby precluding insight into how the industry will change over time. Credible evaluations of specific policy initiatives and research activities require a different approach. Also, the mounting pressure on energy producers from environmental compliance activities requires development of analysis that incorporates relevant geologic, engineering, and project economic details. The objective of policy, research and development (R&D), and market analysis is to integrate fundamental understanding of natural gas resources, technology, and markets to fully describe the potential of the gas resource under alternative future scenarios. This report summarizes work over the past twelve months on DOE Contract DE-AC21-92MC28138, Development of a Natural Gas Systems Analysis Model (GSAM). The products developed under this project directly support the Morgantown Energy Technology Center (METC) in carrying out its natural gas R&D mission.

  16. Modern day gas turbine designers face the problem of hot mainstream gas ingestion into rotor-stator disk cavities. To counter this ingestion, seals are installed on the rotor and stator disk rims and

    E-Print Network [OSTI]

    Modern day gas turbine designers face the problem of hot mainstream gas ingestion into rotor the supply of purge air as this decreases the net power output as well as efficiency of the gas turbine Velocimetry (PIV). Experiments were carried out in a model single-stage axial flow turbine set

  17. Historical Natural Gas Annual

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

    State, 1980-1998 PDF 12 Supplemental Gas Supplies by State, 1980-1998 PDF 13 Natural Gas Production, Transmission, and Consumption by State, 1967-1998 PDF 14 Consumption of...

  18. Historical Natural Gas Annual

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

    State, 1980-1997 PDF 12 Supplemental Gas Supplies by State, 1980-1997 PDF 13 Natural Gas Production, Transmission, and Consumption by State, 1967-1997 PDF 14 Consumption of...

  19. Historical Natural Gas Annual

    Gasoline and Diesel Fuel Update (EIA)

    State, 1980-1996 PDF 12 Supplemental Gas Supplies by State, 1980-1996 PDF 13 Natural Gas Production, Transmission, and Consumption by State, 1967-1996 PDF 14 Consumption of...

  20. Natural gas annual 1996

    SciTech Connect (OSTI)

    1997-09-01

    This document provides information on the supply and disposition of natural gas to a wide audience. The 1996 data are presented in a sequence that follows natural gas from it`s production to it`s end use.

  1. Petroleum Supply Monthly, July 1990

    SciTech Connect (OSTI)

    Not Available

    1990-09-28

    Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 states and the District of Columbia). The reporting universe includes those petroleum sectors in Primary Supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States.

  2. Petroluem Supply Monthly, May 1993

    SciTech Connect (OSTI)

    Not Available

    1993-06-04

    Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics.

  3. Abstract--Modelling and control of gas turbines (GTs) have always been a controversial issue because of the complex

    E-Print Network [OSTI]

    Sainudiin, Raazesh

    Abstract--Modelling and control of gas turbines (GTs) have always been a controversial issue that there is no end to the efforts for performance optimization of gas turbines. A variety of analytical and experimental models as well as control systems has been built so far for gas turbines. However, the need

  4. An Embedded Boundary Method for the Modeling of Unsteady Combustion in an Industrial GasFired Furnace \\Lambda

    E-Print Network [OSTI]

    Bell, John B.

    the simulation of an experimental natural gas­fired furnace are shown. 1 Introduction The ability to model the simulation of an experimental natural gas­fired furnace are shown. \\Lambda This work was performed under a a two­step scheme for natural gas combustion [30] coupled with a simplified turbulent kinetics model [6

  5. A Stochastic Optimization Case Study using ILOG CPLEX Concert Technology: Dual Sourcing Model for Managing Supply Chain Disruptions

    E-Print Network [OSTI]

    Bjørnstad, Ottar Nordal

    of a company under uncertainty is proposed in this study. Deterministic planning and scheduling models is optimal usage of future resources on the basis of available present information and future scenarios1 increase. As simple as uncertain lead time can affect the production plans which necessitates

  6. Modeling coiled tubing velocity strings for gas wells

    SciTech Connect (OSTI)

    Martinez, J.; Martinez, A.

    1995-12-31

    Multiphase flowing pressure and velocity prediction models are necessary to coiled tubing velocity string design. A model used by most of the coiled tubing service companies or manufacturers is reviewed. Guidance is provided for selecting a coiled tubing of the proper size. The steps include: (1) Measured data matching; (2) Fluid property adjustment; (3) Pressure, velocity, and holdup selection; (4) Correlation choice; (5) Coiled tubing selection. A velocity range for the lift of liquid is given.

  7. A Planar Anode -Supported Solid Oxide Fuel Cell Model with Internal Reforming of Natural Gas

    E-Print Network [OSTI]

    Boyer, Edmond

    1 A Planar Anode - Supported Solid Oxide Fuel Cell Model with Internal Reforming of Natural Gas.brault@univ-orleans.fr Abstract Solid Oxide Fuel Cells (SOFCs) are of great interest due to their high energy efficiency, low, a mathematical model of a co - flow planar anode - supported solid oxide fuel cell with internal reforming

  8. ARTICLE IN PRESS Modeling hydrogen sulfide emissions across the gas liquid interface

    E-Print Network [OSTI]

    Aneja, Viney P.

    ARTICLE IN PRESS Modeling hydrogen sulfide emissions across the gas­ liquid interface-film theory Hydrogen sulfide Process-based model Lagoon flux Mass transfer a b s t r a c t Hydrogen sulfide (H waste treatment lagoons are widely used to store and treat hog excreta at commercial hog farms. Hydrogen

  9. Growth Kinetics and Modeling of Direct Oxynitride Growth with NO-O2 Gas Mixtures

    SciTech Connect (OSTI)

    Everist, Sarah; Nelson, Jerry; Sharangpani, Rahul; Smith, Paul Martin; Tay, Sing-Pin; Thakur, Randhir

    1999-05-03

    We have modeled growth kinetics of oxynitrides grown in NO-O2 gas mixtures from first principles using modified Deal-Grove equations. Retardation of oxygen diffusion through the nitrided dielectric was assumed to be the dominant growth-limiting step. The model was validated against experimentally obtained curves with good agreement. Excellent uniformity, which exceeded expected walues, was observed.

  10. Simulating the Afghanistan-Pakistan opium supply chain

    SciTech Connect (OSTI)

    Watkins, Jennifer H [Los Alamos National Laboratory; MacKerrow, Edward P [Los Alamos National Laboratory; Merritt, Terence M [Los Alamos National Laboratory

    2010-04-08

    This paper outlines an opium supply chain using the Hilmand province of Afghanistan as exemplar. The opium supply chain model follows the transformation of opium poppy seed through cultivation and chemical alteration to brown heroin base. The purpose of modeling and simulating the Afghanistan-Pakistan opium supply chain is to discover and test strategies that will disrupt this criminal enterprise.

  11. Petroleum supply monthly, March 1994

    SciTech Connect (OSTI)

    Not Available

    1994-03-30

    Data presented in the Petroleum Supply Monthly (PSM) describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics. The tables and figures in the Summary Statistics section of the PSM present a time series of selected petroleum data on a US level. Most time series include preliminary estimates for one month based on the Weekly Petroleum Supply Reporting System; statistics based on the most recent data from the Monthly Petroleum Supply Reporting System (MPSRS); and statistics published in prior issues of the PSM and PSA. The Detailed Statistics tables of the PSM present statistics for the most current month available as well as year-to-date. In most cases, the statistics are presented for several geographic areas -- the United States (50 States and the District of Columbia), five PAD Districts, and 12 Refining Districts. At the US and PAD District level, the total volume and the daily rate of activities are presented. The statistics are developed from monthly survey forms submitted by respondents to the EIA and from data provided from other sources.

  12. Petroleum supply monthly, June 1993

    SciTech Connect (OSTI)

    Not Available

    1993-06-28

    Data presented in the Petroleum Supply Monthly (PSM) describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics. The tables and figures ih the Summary Statistics section of the PSM present a time series of selected petroleum data on a US level. Most time series include preliminary estimates for one month based on the Weekly Petroleum Supply Reporting System; statistics based on the most recent data from the Monthly Petroleum Supply Reporting System (MPSRS); and statistics published in prior issues of the PSM and PSA. The Detailed Statistics tables of the PSM present statistics for the most current month available as well as year-to-date. In most cases, the statistics are presented for several geographic areas - - the United States (50 States and the District of Columbia), five PAD Districts, and 12 Refining Districts. At the US and PAD District level, the total volume and the daily rate of activities are presented. The statistics are developed from monthly survey forms submitted by respondents to the EIA and from data provided firom other sources.

  13. Hot-gas cleanup system model development. Volume I. Final report

    SciTech Connect (OSTI)

    Ushimaru, K.; Bennett, A.; Bekowies, P.J.

    1982-11-01

    This two-volume report summarizes the state of the art in performance modeling of advanced high-temperature, high-pressure (HTHP) gas cleanup devices. Volume I contains the culmination of the research effort carried over the past 12 months and is a summary of research achievements. Volume II is the user's manual for the computer programs developed under the present research project. In this volume, Section 2 presents background information on pressurized, fluidized-bed combustion concepts, a description of the role of the advanced gas cleanup systems, and a list of advanced gas cleanup systems that are currently in development under DOE sponsorship. Section 3 describes the methodology for the software architecture that forms the basis of the well-disciplined and structured computer programs developed under the present project. Section 4 reviews the fundamental theories that are important in analyzing the cleanup performance of HTHP gas filters. Section 5 discusses the effect of alkali agents in HTHP gas cleanup. Section 6 evaluates the advanced HTHP gas cleanup models based on their mathematical integrity, availability of supporting data, and the likelihood of commercialization. As a result of the evaluation procedure detailed in Section 6, five performance models were chosen to be incorporated into the overall system simulation code, ASPEN. These five models (the electrocyclone, ceramic bag filter, moving granular bed filter, electrostatic granular bed filter, and electrostatic precipitator) are described in Section 7. The method of cost projection for these five models is discussed in Section 8. The supporting data and validation of the computer codes are presented in Section 9, and finally the conclusions and recommendations for the HTHP gas cleanup system model development are given in Section 10. 72 references, 19 figures, 25 tables.

  14. Accuracy of Petroleum Supply Data

    Reports and Publications (EIA)

    2009-01-01

    Accuracy of published data in the Weekly Petroleum Status Report, the Petroleum Supply Monthly, and the Petroleum Supply Annual.

  15. Enhanced Generic Phase-field Model of Irradiation Materials: Fission Gas Bubble Growth Kinetics in Polycrystalline UO2

    SciTech Connect (OSTI)

    Li, Yulan; Hu, Shenyang Y.; Montgomery, Robert O.; Gao, Fei; Sun, Xin

    2012-05-30

    Experiments show that inter-granular and intra-granular gas bubbles have different growth kinetics which results in heterogeneous gas bubble microstructures in irradiated nuclear fuels. A science-based model predicting the heterogeneous microstructure evolution kinetics is desired, which enables one to study the effect of thermodynamic and kinetic properties of the system on gas bubble microstructure evolution kinetics and morphology, improve the understanding of the formation mechanisms of heterogeneous gas bubble microstructure, and provide the microstructure to macroscale approaches to study their impact on thermo-mechanical properties such as thermo-conductivity, gas release, volume swelling, and cracking. In our previous report 'Mesoscale Benchmark Demonstration, Problem 1: Mesoscale Simulations of Intra-granular Fission Gas Bubbles in UO2 under Post-irradiation Thermal Annealing', we developed a phase-field model to simulate the intra-granular gas bubble evolution in a single crystal during post-irradiation thermal annealing. In this work, we enhanced the model by incorporating thermodynamic and kinetic properties at grain boundaries, which can be obtained from atomistic simulations, to simulate fission gas bubble growth kinetics in polycrystalline UO2 fuels. The model takes into account of gas atom and vacancy diffusion, vacancy trapping and emission at defects, gas atom absorption and resolution at gas bubbles, internal pressure in gas bubbles, elastic interaction between defects and gas bubbles, and the difference of thermodynamic and kinetic properties in matrix and grain boundaries. We applied the model to simulate gas atom segregation at grain boundaries and the effect of interfacial energy and gas mobility on gas bubble morphology and growth kinetics in a bi-crystal UO2 during post-irradiation thermal annealing. The preliminary results demonstrate that the model can produce the equilibrium thermodynamic properties and the morphology of gas bubbles at grain boundaries for given grain boundary properties. More validation of the model capability in polycrystalline is underway.

  16. A quadratic cumulative production model for the material balance of an abnormally pressured gas reservoir 

    E-Print Network [OSTI]

    Gonzalez, Felix Eduardo

    2005-02-17

    -1 A QUADRATIC CUMULATIVE PRODUCTION MODEL FOR THE MATERIAL BALANCE OF AN ABNORMALLY PRESSURED GAS RESERVOIR A Thesis by FELIX E. GONZALEZ ROMERO Submitted to the Office of Graduate Studies of Texas A&M University... OF AN ABNORMALLY PRESSURED GAS RESERVOIR A Thesis by FELIX E. GONZALEZ ROMERO Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE...

  17. Modeling of wet gas compression in twin-screw multiphase pump 

    E-Print Network [OSTI]

    Xu, Jian

    2009-05-15

    are more insensitive to liquid slugs and large change in inlet gas density (Putra and Uphold, 1999). It is the most widely utilized multiphase pump (Scott et al., 2006). The biggest physical challenge for the multiphase pump in oil and gas industry... is no longer isothermal. The experimental data with GVF > 96% show tremendous temperature increase between the inlet and outlet of twin-screw pump (Singh, 2003). With the high demand of wet gas compression system, it is necessary to model the performance...

  18. Supply Management Specialist

    Broader source: Energy.gov [DOE]

    This position is located in the Logistics Management organization (NSL), Supply Chain Services (NS), Chief Administrative Office (N). NSL manages the warehousing of materials; the investment...

  19. Petroleum supply monthly, with data from June 1996

    SciTech Connect (OSTI)

    1996-08-01

    The Petroleum Supply Division (PSD) of the Energy Information Administration (EIA) collects and published information on petroleum supply and disposition in the United States. The information is collected through a series of surveys that make up the Petroleum Supply Reporting System (PSRS). The PSRS data are published in the Weekly Petroleum Status Report (WPSR), Petroleum Supply Monthly (PSM), and Petroleum Supply Annual (PSA). This report presents information on crude oil production, crude oil imports and exports, refinery operations, natural gas processing, transportation, and oxygenate data.

  20. LNG links remote supplies and markets

    SciTech Connect (OSTI)

    Avidan, A.A.; Gardner, R.E.; Nelson, D.; Borrelli, E.N.; Rethore, T.J.

    1997-06-02

    Liquefied natural gas (LNG) has established a niche for itself by matching remote gas supplies to markets that both lacked indigenous gas reserves and felt threatened in the aftermath of the energy crises of the 1970s and 1980s. It has provided a cost-effective energy source for these markets, while also offering an environmentally friendly fuel long before that was fashionable. The introduction of natural-gas use via LNG in the early years (mostly into France and Japan) has also allowed LNG to play a major role in developing gas infrastructure. Today, natural gas, often supplied as LNG, is particularly well-suited for use in the combined cycle technology used in independent power generation projects (IPPs). Today, LNG players cannot simply focus on monetizing gas resources. Instead, they must adapt their projects to meet the needs of changing markets. The impact of these changes on the LNG industry has been felt throughout the value chain from finding and producing gas, gas treatment, liquefaction, transport as a liquid, receiving terminals and regasification, and finally, to consumption by power producers, industrial users, and households. These factors have influenced the evolution of the LNG industry and have implications for the future of LNG, particularly in the context of worldwide natural gas.

  1. Models for evaluation of energy technology and policy options to maximize low carbon source penetration in the United States energy supply.

    SciTech Connect (OSTI)

    Pickard, Paul S.; Kataoka, Dawn; Reno, Marissa Devan; Malczynski, Leonard A.; Peplinski, William J.; Roach, Jesse D.; Brainard, James Robert; West, Todd H.; Schoenwald, David Alan

    2009-12-01

    An initial version of a Systems Dynamics (SD) modeling framework was developed for the analysis of a broad range of energy technology and policy questions. The specific question selected to demonstrate this process was 'what would be the carbon and import implications of expanding nuclear electric capacity to provide power for plug in hybrid vehicles?' Fifteen SNL SD energy models were reviewed and the US Energy and Greenhouse gas model (USEGM) and the Global Nuclear Futures model (GEFM) were identified as the basis for an initial modeling framework. A basic U.S. Transportation model was created to model U.S. fleet changes. The results of the rapid adoption scenario result in almost 40% of light duty vehicles being PHEV by 2040 which requires about 37 GWy/y of additional electricity demand, equivalent to about 25 new 1.4 GWe nuclear plants. The adoption rate of PHEVs would likely be the controlling factor in achieving the associated reduction in carbon emissions and imports.

  2. Technology options and effective policies to reduce greenhouse gas

    E-Print Network [OSTI]

    Technology options and effective policies to reduce greenhouse gas emissions and improve security); DNE21+ model. · National Institute for Environmental Studies (Japan); AIM model. · Natural Resources both the climate problem and security of supply, and thus provide synergies, while others represent

  3. Opportunities for LNG supply infrastructure and demand growth in US and International markets

    E-Print Network [OSTI]

    Connell, Richard Perry

    2004-01-01

    Countries are looking beyond their borders for options to satiate a forecasted increase in natural gas consumption. A strong option for importing natural gas is by way of a liquefied natural gas (LNG) supply chain where ...

  4. Customer service driven supply chain segmentation

    E-Print Network [OSTI]

    Worawattananon, Prakit

    2008-01-01

    The objective of this thesis is to develop a supply chain segmentation model for Company X, which is in the chemical and construction materials industry. The company sells products in an expanding Southeast Asia market. ...

  5. Natural Gas Dry Production (Annual Supply & Disposition)

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

    9 2010 2011 2012 2013 2014 View History U.S. 20,623,854 21,315,507 22,901,879 24,033,266 24,333,709 25,718,448 1930-2014 Federal Offshore Gulf of Mexico 2,428,916 2,245,062...

  6. Georgia Supplemental Supplies of Natural Gas

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

    52 732 701 660 642 635 1967-2014 Propane-Air 0 0 1980-2014 Biomass 52 732 701 660 642 608 1993-2014 Other 0 0 26 1980...

  7. New York Supplemental Supplies of Natural Gas

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

    6 2 0 0 0 0 1967-2014 Synthetic 1980-2005 Propane-Air 6 2 1980-2010 Biomass 1993-2005 Other 1980-2005...

  8. Ohio Supplemental Supplies of Natural Gas

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

    522 353 296 366 416 641 1967-2014 Synthetic 0 0 1980-2014 Propane-Air 66 40 27 6 34 263 1980-2014 Biomass 456 313 269 360 383 378 1993-201...

  9. Hawaii Supplemental Supplies of Natural Gas

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

    2,447 2,472 2,467 2,510 2,658 2,743 1980-2014 Synthetic 2,438 2,465 2,442 2,491 2,639 2,733 1980-2014 Propane-Air 9 6 25 20 19 10 2004...

  10. EU Gas Supply Security: Unfinished Business

    E-Print Network [OSTI]

    Noël, Pierre

    2013-04-01

    production. Exploration work was suspended after hydraulic fracturing-induced seismic activity was reported but the government allowed companies to resume work in late 2012. The UK enjoys a relatively wide political consensus that, given the right... increasingly unlikely to be materialised. A summary of the situation is provided by an IEA report from 2012. 15 The bleak situation in France – where most of western Europe’s reserves are located but hydraulic fracturing was banned by a law passed nearly...

  11. STEO November 2012 - natural gas supply

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) byMultidayAlumni > The2/01/12 Page 1NEWSSupportcoal

  12. Natural Gas Consumption (Annual Supply & Disposition)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,Decade Year-03.823,172 3,009 2,851 2,410 2,851 3,84720 21

  13. The Multiphase Buoyant Plume Solution of the Dusty Gas Model

    E-Print Network [OSTI]

    Cerminara, Matteo

    2015-01-01

    Starting from the balance equations of mass, momentum and energy we formulate an integral 1D model for a poly-disperse mixture injected in the atmosphere. We write all the equations, either in their most general formulation or in the more simplified, taking particular care in considering all the underlying hypothesis in order to make clear when it is possible and appropriate to use them. Moreover, we put all the equations in a non-dimensional form, making explicit all the dimensionless parameters that drive the dynamics of these phenomena. In particular, we find parameters to measure: the goodness of the Boussinesq approximation, the injected mass flow, the column stability and his eventual collapse, and the importance of the atmospheric stratification, the initial kinetic energy and the gravitational potential energy. We show that setting to zero some of these parameters, it is possible to recover some of the existing jet and plume models for single-phase flows. Moreover, we write a simplified set of equatio...

  14. Natural Gas Hydrates Update 1998-2000

    Reports and Publications (EIA)

    2001-01-01

    Significant events have transpired on the natural gas hydrate research and development front since "Future Supply Potential of Natural Gas Hydrates" appeared in Natural Gas 1998 Issues and Trends and in the Potential Gas Committee's 1998 biennial report.

  15. Natural gas annual 1997

    SciTech Connect (OSTI)

    1998-10-01

    The Natural Gas Annual provides information on the supply and disposition of natural gas to a wide audience including industry, consumers, Federal and State agencies, and educational institutions. The 1997 data are presented in a sequence that follows natural gas (including supplemental supplies) from its production to its end use. This is followed by tables summarizing natural gas supply and disposition from 1993 to 1997 for each Census Division and each State. Annual historical data are shown at the national level. 27 figs., 109 tabs.

  16. Modeling studies of gas movement and moisture migration at Yucca Mountain, Nevada

    SciTech Connect (OSTI)

    Tsang, Y.W.; Pruess, K. [Lawrence Berkeley Lab., CA (United States)

    1991-06-01

    Modeling studies on moisture redistribution processes that are mediated by gas phase flow and diffusion have been carried out. The problem addressed is the effect of a lowered humidity of the soil gas at the land surface on moisture removal from Yucca Mountain, the potential site for a high-level nuclear waste repository. At the land surface, humid formation gas contacts much drier atmospheric air. Near this contact, the humidity of the soil gas may be considerably lower than at greater depth, where the authors expect equilibrium with the liquid phase and close to 100% humidity. The lower relative humidity of the soil gas may be modeled by imposing, at the land surface, an additional negative capillary suction corresponding to vapor pressure lowering according to Kelvin`s Equation, thus providing a driving force for the upward movement of moisture in both the vapor and liquid phases. Sensitivity studies show that moisture removal from Yucca Mountain arising from the lowered-relative-humidity boundary condition is controlled by vapor diffusion. There is much experimental evidence in the soil literature that diffusion of vapor is enhanced due to pore-level phase change effects by a few orders of magnitude. Modeling results presented here will account for this enhancement in vapor diffusion.

  17. Fashion Supply Chain Network Competition Ecolabelling

    E-Print Network [OSTI]

    Nagurney, Anna

    is a primary source of GHG (greenhouse gas) emissions, including CO2, one of the principal sources of global, and with textiles being the fifth largest contributor to CO2 emissions in the United States. 10 of the total CO2 April 2014; revised June 2014 In Sustainable Fashion Supply Chain Management: From Sourcing to Retailing

  18. Estimating Policy-Driven Greenhouse Gas Emissions Trajectories in California: The California Greenhouse Gas Inventory Spreadsheet (GHGIS) Model

    SciTech Connect (OSTI)

    Greenblatt, Jeffery B.

    2013-10-10

    A California Greenhouse Gas Inventory Spreadsheet (GHGIS) model was developed to explore the impact of combinations of state policies on state greenhouse gas (GHG) and regional criteria pollutant emissions. The model included representations of all GHG- emitting sectors of the California economy (including those outside the energy sector, such as high global warming potential gases, waste treatment, agriculture and forestry) in varying degrees of detail, and was carefully calibrated using available data and projections from multiple state agencies and other sources. Starting from basic drivers such as population, numbers of households, gross state product, numbers of vehicles, etc., the model calculated energy demands by type (various types of liquid and gaseous hydrocarbon fuels, electricity and hydrogen), and finally calculated emissions of GHGs and three criteria pollutants: reactive organic gases (ROG), nitrogen oxides (NOx), and fine (2.5 ?m) particulate matter (PM2.5). Calculations were generally statewide, but in some sectors, criteria pollutants were also calculated for two regional air basins: the South Coast Air Basin (SCAB) and the San Joaquin Valley (SJV). Three scenarios were developed that attempt to model: (1) all committed policies, (2) additional, uncommitted policy targets and (3) potential technology and market futures. Each scenario received extensive input from state energy planning agencies, in particular the California Air Resources Board. Results indicate that all three scenarios are able to meet the 2020 statewide GHG targets, and by 2030, statewide GHG emissions range from between 208 and 396 MtCO2/yr. However, none of the scenarios are able to meet the 2050 GHG target of 85 MtCO2/yr, with emissions ranging from 188 to 444 MtCO2/yr, so additional policies will need to be developed for California to meet this stringent future target. A full sensitivity study of major scenario assumptions was also performed. In terms of criteria pollutants, targets were less well-defined, but while all three scenarios were able to make significant reductions in ROG, NOx and PM2.5 both statewide and in the two regional air basins, they may nonetheless fall short of what will be required by future federal standards. Specifically, in Scenario 1, regional NOx emissions are approximately three times the estimated targets for both 2023 and 2032, and in Scenarios 2 and 3, NOx emissions are approximately twice the estimated targets. Further work is required in this area, including detailed regional air quality modeling, in order to determine likely pathways for attaining these stringent targets.

  19. Numerical modeling of carrier gas flow in atomic layer deposition vacuum reactor: A comparative study of lattice Boltzmann models

    SciTech Connect (OSTI)

    Pan, Dongqing; Chien Jen, Tien [Department of Mechanical Engineering, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53201 (United States); Li, Tao [School of Mechanical Engineering, Dalian University of Technology, Dalian 116024 (China); Yuan, Chris, E-mail: cyuan@uwm.edu [Department of Mechanical Engineering, University of Wisconsin-Milwaukee, 3200 North Cramer Street, Milwaukee, Wisconsin 53211 (United States)

    2014-01-15

    This paper characterizes the carrier gas flow in the atomic layer deposition (ALD) vacuum reactor by introducing Lattice Boltzmann Method (LBM) to the ALD simulation through a comparative study of two LBM models. Numerical models of gas flow are constructed and implemented in two-dimensional geometry based on lattice Bhatnagar–Gross–Krook (LBGK)-D2Q9 model and two-relaxation-time (TRT) model. Both incompressible and compressible scenarios are simulated and the two models are compared in the aspects of flow features, stability, and efficiency. Our simulation outcome reveals that, for our specific ALD vacuum reactor, TRT model generates better steady laminar flow features all over the domain with better stability and reliability than LBGK-D2Q9 model especially when considering the compressible effects of the gas flow. The LBM-TRT is verified indirectly by comparing the numerical result with conventional continuum-based computational fluid dynamics solvers, and it shows very good agreement with these conventional methods. The velocity field of carrier gas flow through ALD vacuum reactor was characterized by LBM-TRT model finally. The flow in ALD is in a laminar steady state with velocity concentrated at the corners and around the wafer. The effects of flow fields on precursor distributions, surface absorptions, and surface reactions are discussed in detail. Steady and evenly distributed velocity field contribute to higher precursor concentration near the wafer and relatively lower particle velocities help to achieve better surface adsorption and deposition. The ALD reactor geometry needs to be considered carefully if a steady and laminar flow field around the wafer and better surface deposition are desired.

  20. Modeling the influence of bubble pressure on grain boundary separation and fission gas release

    SciTech Connect (OSTI)

    Pritam Chakraborty; Michael R. Tonks; Giovanni Pastore

    2014-09-01

    Grain boundary (GB) separation as a mechanism for fission gas release (FGR), complementary to gas bubble interlinkage, has been experimentally observed in irradiated light water reactor fuel. However there has been limited effort to develop physics-based models incorporating this mechanism for the analysis of FGR. In this work, a computational study is carried out to investigate GB separation in UO2 fuel under the effect of gas bubble pressure and hydrostatic stress. A non-dimensional stress intensity factor formula is obtained through 2D axisymmetric analyses considering lenticular bubbles and Mode-I crack growth. The obtained functional form can be used in higher length-scale models to estimate the contribution of GB separation to FGR.

  1. Observational constrains on cosmological models with Chaplygin gas and quadratic equation of state

    E-Print Network [OSTI]

    Sharov, G S

    2015-01-01

    Observational manifestations of accelerated expansion of the universe, in particular, recent data for Type Ia supernovae, baryon acoustic oscillations and for the Hubble parameter $H(z)$ are described with different cosmological models. We compare the $\\Lambda$CDM, the models with generalized and modified Chaplygin gas and the model with quadratic equation of state. For these models we estimate optimal model parameters and their permissible errors, in particular, for all 4 mentioned models the Hubble parameter and the curvature fraction are $H_0=70.1\\pm0.45$ km\\,c${}^{-1}$Mpc${}^{-1}$ and $-0.13\\le\\Omega_k\\le0.025$. The model with quadratic equation of state yields the minimal value of $\\chi^2$, but this model has 2 additional parameters in comparison with the $\\Lambda$CDM.

  2. Automating power supply checkout

    SciTech Connect (OSTI)

    Laster, J.; Bruno, D.; D'Ottavio, T.; Drozd, J.; Marr, G.; Mi, C.

    2011-03-28

    Power Supply checkout is a necessary, pre-beam, time-critical function. At odds are the desire to decrease the amount of time to perform the checkout while at the same time maximizing the number and types of checks that can be performed and analyzing the results quickly (in case any problems exist that must be addressed). Controls and Power Supply Group personnel have worked together to develop tools to accomplish these goals. Power Supply checkouts are now accomplished in a time-frame of hours rather than days, reducing the number of person-hours needed to accomplish the checkout and making the system available more quickly for beam development. The goal of the Collider-Accelerator Department (CAD) at Brookhaven National Laboratory is to provide experimenters with collisions of heavy-ions and polarized protons. The Relativistic Heavy-Ion Collider (RHIC) magnets are controlled by 100's of varying types of power supplies. There is a concentrated effort to perform routine maintenance on the supplies during shutdown periods. There is an effort at RHIC to streamline the time needed for system checkout in order to quickly arrive at a period of beam operations for RHIC. This time-critical period is when the checkout of the power supplies is performed as the RHIC ring becomes cold and the supplies are connected to their physical magnets. The checkout process is used to identify problems in voltage and current regulation by examining data signals related to each for problems in settling and regulation (ripple).

  3. Computational Modeling of Microstructural-Evolution in AISI 1005 Steel During Gas Metal Arc Butt Welding

    E-Print Network [OSTI]

    Grujicic, Mica

    Welding M. Grujicic, S. Ramaswami, J.S. Snipes, R. Yavari, A. Arakere, C.-F. Yen, and B.A. Cheeseman-mechanical finite-element procedure is developed to model conventional gas metal arc welding (GMAW) butt of the workpiece and the weld temperature- dependent and by allowing the potential work of plastic deformation

  4. A Network Model for The Genesis and Migration of Gas Phase

    E-Print Network [OSTI]

    New York at Stoney Brook, State University of

    genesis, carbon dioxide sequestration, compositional flow AMS subject classification: 65C20, 68U20, 76Q05. Research has shown that anthropogenic emissions of carbon dioxide have contributed to rising mean global, of a compositional fluid consisting of water with a dissolved hydrocarbon gas. The model captures both single phase

  5. Economic Nonlinear Model Predictive Control for the Optimization of Gas Pipeline Networks

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Compressor 4 Commercial Industry Power Plant LDC 3 Suppliers, 12 Demand nodes, 5 Compressors Sinusoidal Flowrates Industry: N6,12,13,19,21 Commercial: N30,32,34,35 Power Plant: N4,25 LDC: N23 Pcontract = 500 kEconomic Nonlinear Model Predictive Control for the Optimization of Gas Pipeline Networks EWO

  6. Modeling the patterned two-dimensional electron gas: Electrostatics John H. Davies and Ivan A. Larkin

    E-Print Network [OSTI]

    Davies, John H.

    Modeling the patterned two-dimensional electron gas: Electrostatics John H. Davies and Ivan A. V. Sukhorukov Institute of Problems of Microelectronics Technology, Academy of Science of Russia, Chernogolovka, Moscow district, Russia, 142432 (Dated: February 21, 2005) Abstract We present analytical

  7. Simulation of exhaust gas pollution within an eventdriven multimodal dynamic traffic model

    E-Print Network [OSTI]

    Toint, Philippe

    . The second is the temporal evolution of the pollution level, both globally and at the scale of specific city1 Simulation of exhaust gas pollution within an event­driven multimodal dynamic traffic model E development of the last decade, and the quality of life in cities is part of these emerging and widely spread

  8. Combined Analysis of Two- and Three-Particle Correlations in q,p-Bose Gas Model

    E-Print Network [OSTI]

    Alexandre M. Gavrilik

    2006-11-07

    q-deformed oscillators and the q-Bose gas model enable effective description of the observed non-Bose type behavior of the intercept ("strength") $\\lambda^{(2)}\\equiv C^{(2)}(K,K)-1$ of two-particle correlation function $C^{(2)}(p_1,p_2)$ of identical pions produced in heavy-ion collisions. Three- and n-particle correlation functions of pions (or kaons) encode more information on the nature of the emitting sources in such experiments. And so, the q-Bose gas model was further developed: the intercepts of n-th order correlators of q-bosons and the n-particle correlation intercepts within the q,p-Bose gas model have been obtained, the result useful for quantum optics, too. Here we present the combined analysis of two- and three-pion correlation intercepts for the q-Bose gas model and its q,p-extension, and confront with empirical data (from CERN SPS and STAR/RHIC) on pion correlations. Similar to explicit dependence of $\\lambda^{(2)}$ on mean momenta of particles (pions, kaons) found earlier, here we explore the peculiar behavior, versus mean momentum, of the 3-particle correlation intercept $\\lambda^{(3)}(K)$. The whole approach implies complete chaoticity of sources, unlike other joint descriptions of two- and three-pion correlations using two phenomenological parameters (e.g., core-halo fraction plus partial coherence of sources).

  9. Modelling Shale Gas Flow Using the Concept of Dynamic Apparent Permeability 

    E-Print Network [OSTI]

    Farid, Syed Munib Ullah

    2015-05-12

    The basic idea behind this research is to propose a work flow to model gas flow in numerical simulators, which would take into consideration all the complexities of the multiple porosity systems that exist in shale matrix and the different dynamics...

  10. Modeling Impacts of Management on Carbon Sequestration and Trace Gas Emissions in Forested

    E-Print Network [OSTI]

    Modeling Impacts of Management on Carbon Sequestration and Trace Gas Emissions in Forested Wetland-DNDC, was modified to enhance its capacity to predict the impacts of management practices on carbon sequestration nonnegligible roles in mitigation in comparison with carbon sequestration. Forests are recognized for having

  11. MESO-SCALE MODELING OF THE INFLUENCE OF INTERGRANULAR GAS BUBBLES ON EFFECTIVE THERMAL CONDUCTIVITY

    SciTech Connect (OSTI)

    Paul C. Millett; Michael Tonks

    2011-06-01

    Using a mesoscale modeling approach, we have investigated how intergranular fission gas bubbles, as observed in high-burnup nuclear fuel, modify the effective thermal conductivity in a polycrystalline material. The calculations reveal that intergranular porosity has a significantly higher resistance to heat transfer compared to randomly-distributed porosity. A model is developed to describe this conductivity reduction that considers an effective grain boundary Kapitza resistance as a function of the fractional coverage of grain boundaries by bubbles.

  12. Precision control of high temperature furnaces using an auxiliary power supply and charged practice current flow

    DOE Patents [OSTI]

    Pollock, George G. (San Ramon, CA)

    1997-01-01

    Two power supplies are combined to control a furnace. A main power supply heats the furnace in the traditional manner, while the power from the auxiliary supply is introduced as a current flow through charged particles existing due to ionized gas or thermionic emission. The main power supply provides the bulk heating power and the auxiliary supply provides a precise and fast power source such that the precision of the total power delivered to the furnace is improved.

  13. Precision control of high temperature furnaces using an auxiliary power supply and charged particle current flow

    DOE Patents [OSTI]

    Pollock, G.G.

    1997-01-28

    Two power supplies are combined to control a furnace. A main power supply heats the furnace in the traditional manner, while the power from the auxiliary supply is introduced as a current flow through charged particles existing due to ionized gas or thermionic emission. The main power supply provides the bulk heating power and the auxiliary supply provides a precise and fast power source such that the precision of the total power delivered to the furnace is improved. 5 figs.

  14. Estimating Policy-Driven Greenhouse Gas Emissions Trajectories in California: The California Greenhouse Gas Inventory Spreadsheet (GHGIS) Model

    E-Print Network [OSTI]

    Greenblatt, Jeffery B.

    2014-01-01

    NAS mpg, +ZEVs, automation NGV, more efficiency, automationSciences; NG = natural gas; NGV = natural gas vehicle; OTC =and ignored, as EV and NGV demand forecasts were provided by

  15. Introduction Literature Review Integrated Electric Power Supply Chains Empirical Examples Conclusions An Integrated Electric Power Supply Chain and Fuel

    E-Print Network [OSTI]

    Nagurney, Anna

    Conclusions An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling supply chain and fuel market network framework Empirical case study and examples Conclusions. #12 Power Supply Chains and Fuel Suppliers #12;Introduction Literature Review Integrated Electric Power

  16. Model documentation natural gas transmission and distribution model (NGTDM) of the national energy modeling system. Volume II: Model developer`s report

    SciTech Connect (OSTI)

    Not Available

    1995-01-03

    To partially fulfill the requirements for {open_quotes}Model Acceptance{close_quotes} as stipulated in EIA Standard 91-01-01 (effective February 3, 1991), the Office of Integrated Analysis and Forecasting has conducted tests of the Natural Gas Transmission and Distribution Model (NGTDM) for the specific purpose of validating the forecasting model. This volume of the model documentation presents the results of {open_quotes}one-at-a-time{close_quotes} sensitivity tests conducted in support of this validation effort. The test results are presented in the following forms: (1) Tables of important model outputs for the years 2000 and 2010 are presented with respect to change in each input from the reference case; (2) Tables of percent changes from base case results for the years 2000 and 2010 are presented for important model outputs; (3) Tables of conditional sensitivities (percent change in output/percent change in input) for the years 2000 and 2010 are presented for important model outputs; (4) Finally, graphs presenting the percent change from base case results for each year of the forecast period are presented for selected key outputs. To conduct the sensitivity tests, two main assumptions are made in order to test the performance characteristics of the model itself and facilitate the understanding of the effects of the changes in the key input variables to the model on the selected key output variables: (1) responses to the amount demanded do not occur since there are no feedbacks of inputs from other NEMS models in the stand-alone NGTDM run. (2) All the export and import quantities from and to Canada and Mexico, and liquefied natural gas (LNG) imports and exports are held fixed (i.e., there are no changes in imports and exports between the reference case and the sensitivity cases) throughout the forecast period.

  17. European supply chain study

    E-Print Network [OSTI]

    Puri, Mohitkumar

    2009-01-01

    Introduction: Supply chain management has been defined as, "..a set of approaches utilized to efficiently integrate suppliers, manufacturers, warehouses and stores, so that merchandise is produced and distributed at the ...

  18. Supply chain dynamics

    E-Print Network [OSTI]

    Barbosa, Ricardo Wagner Lopes, 1976-

    2003-01-01

    The strong bargaining power of major retailers and the higher requirements for speed, service excellence and customization have significantly contributed to transform the Supply Chain Management. These increasing challenges ...

  19. Pharmaceutical Supply Chain

    E-Print Network [OSTI]

    Nagurney, Anna

    Pharmaceutical Supply Chain Networks with Outsourcing Nagurney, Li, and Nagurney Pharmaceutical) Li1, Ladimer S. Nagurney2 1 - Department of Operations and Information Management Isenberg School of Management University of Massachusetts, Amherst, MA 01003 2 - Department of Electrical and Computer

  20. Two phase partially miscible flow and transport modeling in porous media: application to gas migration in a nuclear waste repository

    E-Print Network [OSTI]

    Bourgeat, Alain; Smaï, Farid

    2008-01-01

    We derive a compositional compressible two-phase, liquid and gas, flow model for numerical simulations of hydrogen migration in deep geological repository for radioactive waste. This model includes capillary effects and the gas high diffusivity. Moreover, it is written in variables (total hydrogen mass density and liquid pressure) chosen in order to be consistent with gas appearance or disappearance. We discuss the well possedness of this model and give some computational evidences of its adequacy to simulate gas generation in a water saturated repository.

  1. Two phase partially miscible flow and transport modeling in porous media: application to gas migration in a nuclear waste repository

    E-Print Network [OSTI]

    Alain Bourgeat; Mladen Jurak; Farid Smaï

    2008-02-29

    We derive a compositional compressible two-phase, liquid and gas, flow model for numerical simulations of hydrogen migration in deep geological repository for radioactive waste. This model includes capillary effects and the gas high diffusivity. Moreover, it is written in variables (total hydrogen mass density and liquid pressure) chosen in order to be consistent with gas appearance or disappearance. We discuss the well possedness of this model and give some computational evidences of its adequacy to simulate gas generation in a water saturated repository.

  2. Supply Curves of Conserved Energy

    E-Print Network [OSTI]

    Meier, Alan Kevin

    1982-01-01

    used for comparable energy supply projects. This perspectivetypically lower on the energy supply side than on the demanda r e invested i n the energy-supply s e c t o r . 41 There

  3. Assessment of the possibility of forecasting future natural gas curtailments

    SciTech Connect (OSTI)

    Lemont, S.

    1980-01-01

    This study provides a preliminary assessment of the potential for determining probabilities of future natural-gas-supply interruptions by combining long-range weather forecasts and natural-gas supply/demand projections. An illustrative example which measures the probability of occurrence of heating-season natural-gas curtailments for industrial users in the southeastern US is analyzed. Based on the information on existing long-range weather forecasting techniques and natural gas supply/demand projections enumerated above, especially the high uncertainties involved in weather forecasting and the unavailability of adequate, reliable natural-gas projections that take account of seasonal weather variations and uncertainties in the nation's energy-economic system, it must be concluded that there is little possibility, at the present time, of combining the two to yield useful, believable probabilities of heating-season gas curtailments in a form useful for corporate and government decision makers and planners. Possible remedial actions are suggested that might render such data more useful for the desired purpose in the future. The task may simply require the adequate incorporation of uncertainty and seasonal weather trends into modeling systems and the courage to report projected data, so that realistic natural gas supply/demand scenarios and the probabilities of their occurrence will be available to decision makers during a time when such information is greatly needed.

  4. A Fission Gas Release Model for High-Burnup LWR ThO{sub 2}-UO{sub 2} Fuel

    SciTech Connect (OSTI)

    Long, Yun; Yi Yuan; Kazimi, Mujid S.; Ballinger, Ronald G.; Pilat, Edward E.

    2002-06-15

    Fission gas release in thoria-urania fuel has been investigated by creating a specially modified FRAPCON-3 code. Because of the reduced buildup of {sup 239}Pu and a flatter distribution of {sup 233}U, the new model THUPS (Thoria-Urania Power Shape) was developed to calculate the radial power distribution, including the effects of both plutonium and {sup 233}U. Additionally, a new porosity model for the rim region was introduced at high burnup. The mechanisms of fission gas release in ThO{sub 2}-UO{sub 2} fuel are expected to be essentially similar to those of UO{sub 2} fuel; therefore, the general formulations of the existing fission gas release models in FRAPCON-3 were retained. However, the gas diffusion coefficient was adjusted to a lower level to account for the smaller observed release fraction in the thoria-based fuel. To model the accelerated fission gas release at high burnup properly, a new athermal fission gas release model was introduced. The modified version of FRAPCON-3 was calibrated using the measured fission gas release data from the light water breeder reactor. Using the new model to calculate the gas release in typical pressurized water reactor hot pins gives data that indicate that the ThO{sub 2}-UO{sub 2} fuel will have considerably lower fission gas release above a burnup of 50 MWd/kg HM.

  5. Risk Management in Biopharmaceutical Supply Chains

    E-Print Network [OSTI]

    Ma, Yao

    2011-01-01

    Supply Chain Risk Managementof Recent Work on Supply Chain Risk Management . . . . .M. , Supply chain risk management: Outlining an agenda for

  6. Assessment of a mechanistic model in U-Pu-Zr metallic alloy fuel fission-gas behavior simulations

    SciTech Connect (OSTI)

    Yun, D.; Rest, J.; Yacout, A. M.

    2012-07-01

    A mechanistic kinetic rate theory model originally developed for the prediction of fission gas behavior in oxide nuclear fuels under steady-state and transient conditions has been assessed to look at its applicability to model fission gas behavior in U-Pu-Zr metallic alloy fuel. In order to capture and validate the underlying physics for irradiated U-Pu-Zr fuels, the mechanistic model was applied to the simulation of fission gas release, fission gas and fission product induced swelling, and the evolution of the gas bubble size distribution in three different fuel zones: the outer {alpha}-U, the intermediate, and the inner {gamma}-U zones. Due to its special microstructural features, the {alpha}-U zone in U-Pu-Zr fuels is believed to contribute the largest fraction of fission gas release among the different fuel zones. It is shown that with the use of small effective grain sizes, the mechanistic model can predict fission gas release that is consistent with (though slightly lower than) experimentally measured data. These simulation results are comparable to the experimentally measured fission gas release since the mechanism of fission gas transport through the densely distributed laminar porosity in the {alpha}-U zone is analogous to the mechanism of fission gas transport through the interconnected gas bubble porosity utilized in the mechanistic model. Detailed gas bubble size distributions predicted with the mechanistic model in both the intermediate zone and the high temperature {gamma}-U zone of U-Pu-Zr fuel are also compared to experimental measurements from available SEM micrographs. These comparisons show good agreements between the simulation results and experimental measurements, and therefore provide crucial guidelines for the selection of key physical parameters required for modeling these two zones. In addition, the results of parametric studies for several key parameters are presented for both the intermediate zone and the {gamma}-U zone simulations. (authors)

  7. Development of a natural gas systems analysis model (GSAM). Annual report, January 1994--January 1995

    SciTech Connect (OSTI)

    NONE

    1994-07-01

    The objective of GSAM development is to create a comprehensive, non-proprietary, microcomputer model of the North American natural gas system. GSAM explicitly evaluates the key components of the system, including the resource base, exploration and development practices, extraction technology performance and costs, project economics, transportation costs and restrictions, storage, and end-use. The primary focus is the detailed characterization of the resource base at the reservoir and sub-reservoir level. This disaggregation allows direct evaluation of alternative extraction technologies based on discretely estimated, individual well productivity, required investments, and associated operating costs. GSAM`s design allows users to evaluate complex interactions of current and alternative future technology and policy initiatives as they directly impact the gas market. Key activities completed during the past year include: conducted a comparative analysis of commercial reservoir databases; licensed and screened NRG Associates Significant Oil and Gas Fields of the US reservoir database; developed and tested reduced form reservoir model production type curves; fully developed database structures for use in GSAM and linkage to other systems; developed a methodology for the exploration module; collected and updated upstream capital and operating cost parameters; completed initial integration of downstream/demand models; presented research results at METC Contractor Review Meeting; conducted other briefings for METC managers, including initiation of the GSAM Environmental Module; and delivered draft topical reports on technology review, model review, and GSAM methodology.

  8. DYNAMIC MODELING STRATEGY FOR FLOW REGIME TRANSITION IN GAS-LIQUID TWO-PHASE FLOWS

    SciTech Connect (OSTI)

    X. Wang; X. Sun; H. Zhao

    2011-09-01

    In modeling gas-liquid two-phase flows, the concept of flow regime has been used to characterize the global interfacial structure of the flows. Nearly all constitutive relations that provide closures to the interfacial transfers in two-phase flow models, such as the two-fluid model, are often flow regime dependent. Currently, the determination of the flow regimes is primarily based on flow regime maps or transition criteria, which are developed for steady-state, fully-developed flows and widely applied in nuclear reactor system safety analysis codes, such as RELAP5. As two-phase flows are observed to be dynamic in nature (fully-developed two-phase flows generally do not exist in real applications), it is of importance to model the flow regime transition dynamically for more accurate predictions of two-phase flows. The present work aims to develop a dynamic modeling strategy for determining flow regimes in gas-liquid two-phase flows through the introduction of interfacial area transport equations (IATEs) within the framework of a two-fluid model. The IATE is a transport equation that models the interfacial area concentration by considering the creation and destruction of the interfacial area, such as the fluid particle (bubble or liquid droplet) disintegration, boiling and evaporation; and fluid particle coalescence and condensation, respectively. For the flow regimes beyond bubbly flows, a two-group IATE has been proposed, in which bubbles are divided into two groups based on their size and shape (which are correlated), namely small bubbles and large bubbles. A preliminary approach to dynamically identifying the flow regimes is provided, in which discriminators are based on the predicted information, such as the void fraction and interfacial area concentration of small bubble and large bubble groups. This method is expected to be applied to computer codes to improve their predictive capabilities of gas-liquid two-phase flows, in particular for the applications in which flow regime transition occurs.

  9. A gas kinetic scheme for the Baer-Nunziato two-phase flow model

    SciTech Connect (OSTI)

    Pan, Liang, E-mail: panliangjlu@sina.com [Institute of Applied Physics and Computational Mathematics, Beijing 100088 (China) [Institute of Applied Physics and Computational Mathematics, Beijing 100088 (China); The Graduate School of China Academy of Engineering Physics, Beijing 100088 (China); Zhao, Guiping, E-mail: zhaogp@nsfc.gov.cn [National Natural Science Foundation of China, Beijing 100085 (China)] [National Natural Science Foundation of China, Beijing 100085 (China); Tian, Baolin, E-mail: tian_baolin@iapcm.ac.cn [Institute of Applied Physics and Computational Mathematics, Beijing 100088 (China) [Institute of Applied Physics and Computational Mathematics, Beijing 100088 (China); Key Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing 100088 (China); Wang, Shuanghu, E-mail: wang_shuanghu@iapcm.ac.cn [Institute of Applied Physics and Computational Mathematics, Beijing 100088 (China) [Institute of Applied Physics and Computational Mathematics, Beijing 100088 (China); Key Laboratory of Computational Physics, Institute of Applied Physics and Computational Mathematics, Beijing 100088 (China)

    2012-09-15

    Numerical methods for the Baer-Nunziato (BN) two-phase flow model have attracted much attention in recent years. In this paper, we present a new gas kinetic scheme for the BN two-phase flow model containing non-conservative terms in the framework of finite volume method. In the view of microscopic aspect, a generalized Bhatnagar-Gross-Krook (BGK) model which matches with the BN model is constructed. Based on the integral solution of the generalized BGK model, we construct the distribution functions at the cell interface. Then numerical fluxes can be obtained by taking moments of the distribution functions, and non-conservative terms are explicitly introduced into the construction of numerical fluxes. In this method, not only the complex iterative process of exact solutions is avoided, but also the non-conservative terms included in the equation can be handled well.

  10. An improved Reynolds-equation model for gas damping of microbeam motion.

    SciTech Connect (OSTI)

    Gallis, Michail A.; Torczynski, John Robert

    2003-09-01

    An improved gas-damping model for the out-of-plane motion of a near-substrate microbeam is developed based on the Reynolds equation (RE). A boundary condition for the RE is developed that relates the pressure at the beam edge to the beam motion. The coefficients in this boundary condition are determined from Navier-Stokes slip-jump (NSSJ) simulations for small slip lengths (relative to the gap height) and from direct simulation Monte Carlo (DSMC) molecular gas dynamics simulations for larger slip lengths. This boundary condition significantly improves the accuracy of the RE when the microbeam width is only slightly greater than the gap height between the microbeam and the substrate. The improved RE model is applied to microbeams fabricated using the SUMMiT V process.

  11. International Oil Supplies and Demands. Volume 1

    SciTech Connect (OSTI)

    Not Available

    1991-09-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--90 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world`s dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group`s thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  12. International Oil Supplies and Demands. Volume 2

    SciTech Connect (OSTI)

    Not Available

    1992-04-01

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--1990 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world`s dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group`s thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  13. Historical Natural Gas Annual 1999

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

    State, 1980-1999 PDF 12 Supplemental Gas Supplies by State, 1980-1999 PDF 13 Natural Gas Production, Transmission, and Consumption by State, 1967-1999 PDF 14 Consumption of...

  14. THETRIS: A MICRO-SCALE TEMPERATURE AND GAS RELEASE MODEL FOR TRISO FUEL

    SciTech Connect (OSTI)

    J. Ortensi; A.M. Ougouag

    2011-12-01

    The dominating mechanism in the passive safety of gas-cooled, graphite-moderated, high-temperature reactors (HTRs) is the Doppler feedback effect. These reactor designs are fueled with sub-millimeter sized kernels formed into TRISO particles that are imbedded in a graphite matrix. The best spatial and temporal representation of the feedback effect is obtained from an accurate approximation of the fuel temperature. Most accident scenarios in HTRs are characterized by large time constants and slow changes in the fuel and moderator temperature fields. In these situations a meso-scale, pebble and compact scale, solution provides a good approximation of the fuel temperature. Micro-scale models are necessary in order to obtain accurate predictions in faster transients or when parameters internal to the TRISO are needed. Since these coated particles constitute one of the fundamental design barriers for the release of fission products, it becomes important to understand the transient behavior inside this containment system. An explicit TRISO fuel temperature model named THETRIS has been developed and incorporated into the CYNOD-THERMIX-KONVEK suite of coupled codes. The code includes gas release models that provide a simple predictive capability of the internal pressure during transients. The new model yields similar results to those obtained with other micro-scale fuel models, but with the added capability to analyze gas release, internal pressure buildup, and effects of a gap in the TRISO. The analyses show the instances when the micro-scale models improve the predictions of the fuel temperature and Doppler feedback. In addition, a sensitivity study of the potential effects on the transient behavior of high-temperature reactors due to the presence of a gap is included. Although the formation of a gap occurs under special conditions, its consequences on the dynamic behavior of the reactor can cause unexpected responses during fast transients. Nevertheless, the strong Doppler feedback forces the reactor to quickly stabilize.

  15. Modeling Population Exposures to Pollutants Emitted from Natural Gas Cooking Burners

    E-Print Network [OSTI]

    Lobscheid, Agnes

    2012-01-01

    BC et al. (2009). Natural Gas Variability in California:to Pollutants  Emitted from Natural Gas Cooking Burners  Pollutants Emitted from Natural Gas Cooking Burners Agnes B.

  16. AN AGGREGATED VECTORIAL MODEL OF PETROLEUM FLOW IN THE UNITED STATES

    E-Print Network [OSTI]

    Krishnan, V. V.

    2011-01-01

    I I I I I DOMESTIC CRUDE OIL PRODUCTION CRUDE OIL i SUPPLY IDatabase 71. Crude Oil and Natural Gas Production Model 72.Domestic Crude Production SYSTEM: Crude Oil First Purchaser

  17. Modeling hot gas flow in the low-luminosity active galactic nucleus of NGC 3115

    SciTech Connect (OSTI)

    Shcherbakov, Roman V.; Reynolds, Christopher S.; Wong, Ka-Wah; Irwin, Jimmy A.

    2014-02-20

    Based on the dynamical black hole (BH) mass estimates, NGC 3115 hosts the closest billion solar mass BH. Deep studies of the center revealed a very underluminous active galactic nucleus (AGN) immersed in an old massive nuclear star cluster. Recent 1 Ms Chandra X-ray visionary project observations of the NGC 3115 nucleus resolved hot tenuous gas, which fuels the AGN. In this paper we connect the processes in the nuclear star cluster with the feeding of the supermassive BH. We model the hot gas flow sustained by the injection of matter and energy from the stars and supernova explosions. We incorporate electron heat conduction as the small-scale feedback mechanism, the gravitational pull of the stellar mass, cooling, and Coulomb collisions. Fitting simulated X-ray emission to the spatially and spectrally resolved observed data, we find the best-fitting solutions with ?{sup 2}/dof = 1.00 for dof = 236 both with and without conduction. The radial modeling favors a low BH mass <1.3 × 10{sup 9} M {sub ?}. The best-fitting supernova rate and the best-fitting mass injection rate are consistent with their expected values. The stagnation point is at r {sub st} ? 1'', so that most of the gas, including the gas at a Bondi radius r{sub B} = 2''-4'', outflows from the region. We put an upper limit on the accretion rate at 2 × 10{sup –3} M {sub ?} yr{sup –1}. We find a shallow density profile n?r {sup –?} with ? ? 1 over a large dynamic range. This density profile is determined in the feeding region 0.''5-10'' as an interplay of four processes and effects: (1) the radius-dependent mass injection, (2) the effect of the galactic gravitational potential, (3) the accretion flow onset at r ? 1'', and (4) the outflow at r ? 1''. The gas temperature is close to the virial temperature T{sub v} at any radius.

  18. Copper damage modeling with the tensile hopkinson bar and gas gun

    SciTech Connect (OSTI)

    Tonks, D. L.; Thissell, W. R.; Trujillo, C. P.; Schwartz, D. S.

    2004-01-01

    Ductile damage nucleation in recovered copper tensile Hopkinson bar specimens has been modeled using the 2D EPIC code. The model has also been successfully applied to spallation gas gun data to greatly expand the pressure range. The split tensile Hopkinson pressure bar permits the creation of damage at fairly high strain rates (10{sup 4}/s) with large plastic strains (100%). Careful momentum trapping allows incipient damage states to be arrested and recovered for metallurgical examination. The use of notched samples allows the pressure - flow stress, or triaxiality, to be varied from 1/3 to about 1.2 to study the interplay of pressure and deviatoric stress. In this paper, we will concentrate on modeling the nucleation of ductile damage in pure copper (Hitachi). With the same material, we also study spallation in a gas gun experiment to obtain the nucleation stress under high pressure and small plastic strain. The goal of the modeling is to obtain a unified nucleation model suitable for both.

  19. Modelling of Gas Clathrate Hydrate Equilibria using the Electrolyte Non-Random Two-Liquid (eNRTL) Model

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    )-liquid ( wL )-gas (G)-phase equilibria of selected ternary {water + salt + gas} and quaternary {water + salt1 + salt2 + gas} systems (salt = NaCl, KCl, CaCl2; gas = CH4, CO2) comprising a gas clathrate hydrate phase.g. pipeline blockages by hydrates in drilling applications or gas pipelines) [6]. Species being capable

  20. Modeling corrosion rates in non-annular gas condensate wells containing CO{sub 2}

    SciTech Connect (OSTI)

    Garber, J.D.; Polaki, V. [Univ. of Southwestern Louisiana, Lafayette, LA (United States); Adams, C. [C.D.A. and Associates, Lafayette, LA (United States); Varanasi, N.R. [Weatherly Labs., Lafayette, LA (United States)

    1998-12-31

    New gas condensate wells are typically producing in annular flow. As the water production increases, the flow dynamics of these wells change to a non-annular flow regime. The flow regime could become chum or slug. A mathematical model has been developed to physically describe this condition. Corrosion rates have been measured in the laboratory and the corrosion rate in slug flow was consistently higher than in churn flow regardless of the experimental conditions selected. A number of non-annular flow wells from the field have been physically described using the new non-annular flow model. There appears to be a correlation between the Taylor bubble length and the corrosion rate. A corrosion rate model has been developed which uses 4 parameters from the non-annular flow model.

  1. A parametric modeling approach to measuring the gas masses of circumstellar disks

    SciTech Connect (OSTI)

    Williams, Jonathan P.; Best, William M. J. E-mail: wbest@ifa.hawaii.edu

    2014-06-10

    The disks that surround young stars are mostly composed of molecular gas, which is harder to detect and interpret than the accompanying dust. Disk mass measurements have therefore relied on large and uncertain extrapolations from the dust to the gas. We have developed a grid of models to study the dependencies of isotopologue CO line strengths on disk structure and temperature parameters and find that a combination of {sup 13}CO and C{sup 18}O observations provides a robust measure of the gas mass. We apply this technique to Submillimeter Array observations of nine circumstellar disks and published measurements of six well studied disks. We find evidence for selective photodissociation of C{sup 18}O and determine masses to within a factor of about three. The inferred masses for the nine disks in our survey range from 0.7 to 6 M {sub Jup}, and all are well below the extrapolation from the interstellar medium gas-to-dust ratio of 100. This is consistent with the low masses of planets found around such stars, and may be due to accretion or photoevaporation of a dust-poor upper atmosphere. However, the masses may be underestimated if there are more efficient CO depletion pathways than those known in molecular clouds and cold cores.

  2. Petroleum supply monthly, April 1993. [Contains glossary

    SciTech Connect (OSTI)

    Not Available

    1993-05-04

    The Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other publications are the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report, and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics.

  3. Petroleum supply monthly, October 1992. [USA

    SciTech Connect (OSTI)

    Not Available

    1992-10-27

    The Petroleum Supply Monthly (PSM) is one of a family of three publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other two publications are the Weekly Petroleum Status Report (WPSR) and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in Primary Supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately, represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections (1) the Summary Statistics and (2) the Detailed Statistics.

  4. Petroleum supply monthly, January 1993. [Contains glossary

    SciTech Connect (OSTI)

    Not Available

    1993-01-27

    The Petroleum Supply Monthly (PSM) is one of a family of three publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other two publications are the Weekly Petroleum Status Report (WPSR) and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in Primary Supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections (1) the Summary Statistics and (2) the Detailed Statistics.

  5. Petroleum supply monthly, December 1992. [Contains glossary

    SciTech Connect (OSTI)

    Not Available

    1992-12-29

    The Petroleum Supply Monthly (PSM) is one of a family of three publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other two publications are the Weekly Petroleum Status Report (WPSR) and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in Primary Supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections (1) the Summary Statistics and (2) the Detailed Statistics.

  6. Petroleum monthly supply, November 1992. [Contains glossary

    SciTech Connect (OSTI)

    Not Available

    1992-11-30

    The Petroleum Supply Monthly (PSM) is one of a family of three publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other two publications are the Weekly Petroleum Status Report (WPSR) and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in Primary Supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections (1) the Summary Statistics and (2) the Detailed Statistics.

  7. Model Documentation Report: Natural Gas Transmission and Distribution Module of the National Energy Modeling System

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19FuelYear JanFeet)August4)

  8. Model Documentation Report: Natural Gas Transmission and Distribution Module of the National Energy Modeling System

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19FuelYear JanFeet)August4)3

  9. Model Documentation Report: Natural Gas Transmission and Distribution Module of the National Energy Modeling System

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr 2012DecadeTotal19FuelYear JanFeet)August4)34

  10. Modeling the fast fill process in natural gas vehicle storage cylinders

    SciTech Connect (OSTI)

    Kountz, K.J.

    1994-09-01

    The on-board storage capacity of natural gas vehicles (NGVs) is a critical issue to the wide spread marketing of these alternate fueled vehicles. Underfilling of NGV cylinders, during fast fill (< 5 min.) charging operations, can occur at fueling stations, at ambient temperatures greater than 50{degrees}F or 60{degrees}F. The resulting reduced driving range of the vehicle is a serious obstacle which the gas industry is striving to overcome, without resorting to unnecessarily high fueling station pressures, or by applying extensive overpressurization of the cylinder during the fueling operation. Undercharged storage cylinders are a result of the elevated temperature which occurs in the NGV storage cylinder, due to compression and other processes which have not, to the author`s knowledge, been analyzed and documented to date. This paper presents a model and solution methodology which quantifies the cylinder undercharging phenomena which occurs during rapid (< 5 min.) fueling. The effects of heat transfer from the cylinder gas to its constraining walls and ambient are considered in the model analysis. The ramifications of the results on fueling station and cylinder designs are discussed. Suggestions are made for controlled experimental programs to verify the theoretical results, and for fueling station design studies which could minimize or eliminate cylinder underfilling.

  11. CREATING THE NORTHEAST GASOLINE SUPPLY RESERVE

    Broader source: Energy.gov [DOE]

    In 2012, Superstorm Sandy made landfall in the northeastern United States and caused heavy damage to two refineries and left more than 40 terminals in New York Harbor closed due to water damage and loss of power. This left some New York gas stations without fuel for as long as 30 days. As part of the Obama Administration’s ongoing response to the storm, the Department of Energy created the first federal regional refined product reserve, the Northeast Gasoline Supply Reserve.

  12. Gas-Phase Lubrication of ta-C by Glycerol and Hydrogen Peroxide. Experimental and Computer Modeling

    E-Print Network [OSTI]

    Goddard III, William A.

    Gas-Phase Lubrication of ta-C by Glycerol and Hydrogen Peroxide. Experimental and Computer Modeling lubrication conditions at 80 °C in presence of OH-containing molecules. To understand the mechanism of ultralow friction, we performed gas-phase lubrication experiments followed by time-of-flight secondary ion

  13. A Novel Circuit Model of Nanotechnology-Enabled Inkjet-Printed Gas Sensors Using Multi-Wall Carbon Nanotubes

    E-Print Network [OSTI]

    Tentzeris, Manos

    A Novel Circuit Model of Nanotechnology-Enabled Inkjet-Printed Gas Sensors Using Multi-Wall Carbon-scale nanotechnology- enabled inkjet-printed modules. Index Terms -- Gas sensing, carbon nanotube, inkjet printing, equivalent circuit, nanotechnology. I. INTRODUCTION Due to their excellent mechanical and electronic

  14. 64 Oil and Gas Facilities December 2014 Elaborated models, such as those used for simulation purposes [e.g.,

    E-Print Network [OSTI]

    Skogestad, Sigurd

    in which the reservoir pressure is relatively low. Therefore, a solution that guarantees stable flow64 Oil and Gas Facilities · December 2014 Summary Elaborated models, such as those used that transport a mixture of oil and gas from the seabed to the surface (Taitel 1986). Such flow regimes, also

  15. Experimental analysis and model-based optimization of microalgae growth in photo-bioreactors using flue gas

    E-Print Network [OSTI]

    Subramanian, Venkat

    Experimental analysis and model-based optimization of microalgae growth in photo-bioreactors using]. Besides physical and chemical methods for sequestration of CO2 from flue gas [2], microalgae culture holds great potential for converting flue gas to biomass. Microalgae can capture solar energy more efficiently

  16. Mercury Speciation in Coal-Fired Power Plant Flue Gas-Experimental Studies and Model Development

    SciTech Connect (OSTI)

    Radisav Vidic; Joseph Flora; Eric Borguet

    2008-12-31

    The overall goal of the project was to obtain a fundamental understanding of the catalytic reactions that are promoted by solid surfaces present in coal combustion systems and develop a mathematical model that described key phenomena responsible for the fate of mercury in coal-combustion systems. This objective was achieved by carefully combining laboratory studies under realistic process conditions using simulated flue gas with mathematical modeling efforts. Laboratory-scale studies were performed to understand the fundamental aspects of chemical reactions between flue gas constituents and solid surfaces present in the fly ash and their impact on mercury speciation. Process models were developed to account for heterogeneous reactions because of the presence of fly ash as well as the deliberate addition of particles to promote Hg oxidation and adsorption. Quantum modeling was used to obtain estimates of the kinetics of heterogeneous reactions. Based on the initial findings of this study, additional work was performed to ascertain the potential of using inexpensive inorganic sorbents to control mercury emissions from coal-fired power plants without adverse impact on the salability fly ash, which is one of the major drawbacks of current control technologies based on activated carbon.

  17. Monthly/Annual Energy Review - natural gas section

    Reports and Publications (EIA)

    2015-01-01

    Monthly and latest annual time-series and recent statistics on natural gas supply, disposition, and price.

  18. DEVELOPMENT OF A NEW HIGH TEMPERATURE GAS RECEIVER UTILIZING SMALL PARTICLES

    E-Print Network [OSTI]

    Hunt, Arlon J.

    2012-01-01

    for powering a gas turbine or to supply industrial processin conjunetion with a gas turbine system providing severalincluding heating a gas to operate a turbine (4), providing

  19. Lifecycle impacts of natural gas to hydrogen pathways on urban air quality

    E-Print Network [OSTI]

    Wang, Guihua; Ogden, Joan M; Nicholas, Michael A

    2007-01-01

    Lifecycle impacts of natural gas to hydrogen pathways onThe following three natural gas to hydrogen supply pathwaysmethane reforming (SMR) of natural gas to produce hydrogen.

  20. Chaoticity parameter in two-pion interferometry in an expanding boson gas model

    SciTech Connect (OSTI)

    Liu, Jie; Ru, Peng; Zhang, W. N.; Wong, Cheuk-Yin

    2014-01-01

    We investigate the chaoticity parameter $\\lambda$ in two-pion interferometry in an expanding boson gas model. The degree of Bose-Einstein condensation of identical pions, density distributions, and Hanbury-Brown-Twiss (HBT) correlation functions are calculated for the expanding gas within the mean-field description with a harmonic oscillator potential. The results indicate that a sources with thousands of identical pions may exhibit a degree of Bose-Einstein condensation at the temperatures during the hadronic phase in relativistic heavy-ion collisions. This finite condensation may decrease the chaoticity parameter $\\lambda$ in the two-pion interferometry measurements at low pion pair momenta, but influence only slightly the $\\lambda$ value at high pion pair momentum.

  1. Development of a natural gas systems analysis model (GSAM). Annual report, July 1996--July 1997

    SciTech Connect (OSTI)

    NONE

    1997-12-31

    The objective of GSAM development is to create a comprehensive, non-proprietary, microcomputer model of the North American natural gas system. GSAM explicitly evaluates the key components of the system, including the resource base, exploration and development practices, extraction technology performance and costs, project economics, transportation costs and restrictions, storage, and end-use. The primary focus is the detailed characterization of the resource base at the reservoir and subreservoir level. This disaggregation allows direct evaluation of alternative extraction technologies based on discretely estimated, individual well productivity, required investments, and associated operating costs. GSAM`s design allows users to evaluate complex interactions of current and alternative future technology and policy initiatives as they directly impact the gas market. GSAM development has been ongoing for the past five years. Key activities completed during the past year are described.

  2. A Collaborative Web Service Platform for AEC Supply Chain

    E-Print Network [OSTI]

    Stanford University

    A Collaborative Web Service Platform for AEC Supply Chain Chin-Pang Jack Cheng*§ , Kincho H. Law ubiquitous and online information grows, the web services model has emerged as a promising approach: AEC supply chain; information sharing; online collaboration; web services model; service- oriented

  3. Modelling the deployment of CO? storage in U.S. gas-bearing shales

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

    Davidson, Casie L.; Dahowski, Robert T.; Dooley, James J.; McGrail, B. Peter

    2014-12-31

    The proliferation of commercial development in U.S. gas-bearing shales helped to drive a twelve-fold increase in domestic gas production between 2000 and 2010, and the nation's gas production rates continue to grow. While shales have long been regarded as a desirable caprock for CCS operations because of their low permeability and porosity, there is increasing interest in the feasibility of injecting CO? into shales to enhance methane recovery and augment CO? storage. Laboratory work published in recent years observes that shales with adsorbed methane appear to exhibit a stronger affinity for CO? adsorption, offering the potential to drive additional CH?more »recovery beyond primary production and perhaps the potential to store a larger volume of CO? than the volume of methane displaced. Recent research by the authors on the revenues associated with CO?-enhanced gas recovery (CO?-EGR) in gas-bearing shales estimates that, based on a range of EGR response rates, the average revenue per ton of CO? for projects managed over both EGR and subsequent storage-only phases could range from $0.50 to $18/tCO?. While perhaps not as profitable as EOR, for regions where lower-cost storage options may be limited, shales could represent another “early opportunity” storage option if proven feasible for reliable EGR and CO? storage. Significant storage potential exists in gas shales, with theoretical CO? storage resources estimated at approximately 30-50 GtCO?. However, an analysis of the comprehensive cost competitiveness of these various options is necessary to understand the degree to which they might meaningfully impact U.S. CCS deployment or costs. This preliminary analysis shows that the degree to which EGR-based CO? storage could play a role in commercial-scale deployment is heavily dependent upon the offsetting revenues associated with incremental recovery; modeling the low revenue case resulted in only five shale-based projects, while under the high revenue case, shales accounted for as much as 20 percent of total U.S. storage in the first 20 years of deployment. Interestingly, even in this highest revenue case, there appear to be no negative-cost projects that would be profitable in a no-policy environment as modeled under the assumptions employed. While this reflects a very first look at the potential for shales, it is clear that more laboratory and experimental work are needed to reduce uncertainty in key variables and begin to differentiate and identify high-potential shales for early pilot study.« less

  4. Modelling the deployment of CO? storage in U.S. gas-bearing shales

    SciTech Connect (OSTI)

    Davidson, Casie L.; Dahowski, Robert T.; Dooley, James J.; McGrail, B. Peter

    2014-12-31

    The proliferation of commercial development in U.S. gas-bearing shales helped to drive a twelve-fold increase in domestic gas production between 2000 and 2010, and the nation's gas production rates continue to grow. While shales have long been regarded as a desirable caprock for CCS operations because of their low permeability and porosity, there is increasing interest in the feasibility of injecting CO? into shales to enhance methane recovery and augment CO? storage. Laboratory work published in recent years observes that shales with adsorbed methane appear to exhibit a stronger affinity for CO? adsorption, offering the potential to drive additional CH? recovery beyond primary production and perhaps the potential to store a larger volume of CO? than the volume of methane displaced. Recent research by the authors on the revenues associated with CO?-enhanced gas recovery (CO?-EGR) in gas-bearing shales estimates that, based on a range of EGR response rates, the average revenue per ton of CO? for projects managed over both EGR and subsequent storage-only phases could range from $0.50 to $18/tCO?. While perhaps not as profitable as EOR, for regions where lower-cost storage options may be limited, shales could represent another “early opportunity” storage option if proven feasible for reliable EGR and CO? storage. Significant storage potential exists in gas shales, with theoretical CO? storage resources estimated at approximately 30-50 GtCO?. However, an analysis of the comprehensive cost competitiveness of these various options is necessary to understand the degree to which they might meaningfully impact U.S. CCS deployment or costs. This preliminary analysis shows that the degree to which EGR-based CO? storage could play a role in commercial-scale deployment is heavily dependent upon the offsetting revenues associated with incremental recovery; modeling the low revenue case resulted in only five shale-based projects, while under the high revenue case, shales accounted for as much as 20 percent of total U.S. storage in the first 20 years of deployment. Interestingly, even in this highest revenue case, there appear to be no negative-cost projects that would be profitable in a no-policy environment as modeled under the assumptions employed. While this reflects a very first look at the potential for shales, it is clear that more laboratory and experimental work are needed to reduce uncertainty in key variables and begin to differentiate and identify high-potential shales for early pilot study.

  5. Modelling the deployment of CO2 storage in U.S. gas-bearing shales

    SciTech Connect (OSTI)

    Davidson, Casie L.; Dahowski, Robert T.; Dooley, James J.; McGrail, B. Peter

    2014-10-23

    The proliferation of commercial development in U.S. gas-bearing shales helped to drive a twelve-fold increase in domestic gas production between 2000 and 2010, and the nation’s gas production rates continue to grow. While shales have long been regarded as a desirable caprock for CCS operations because of their low permeability and porosity, there is increasing interest in the feasibility of injecting CO2 into shales to enhance methane recovery and augment CO2 storage. Laboratory work published in recent years observes that shales with adsorbed methane appear to exhibit a stronger affinity for CO2 adsorption, offering the potential to drive additional CH4 recovery beyond primary production and perhaps the potential to store a larger volume of CO2 than the volume of methane displaced. Recent research by the authors on the revenues associated with CO2-enhanced gas recovery (CO2-EGR) in gas-bearing shales estimates that, based on a range of EGR response rates, the average revenue per ton of CO2 for projects managed over both EGR and subsequent storage-only phases could range from $0.50 to $18/tCO2. While perhaps not as profitable as EOR, for regions where lower-cost storage options may be limited, shales could represent another “early opportunity” storage option if proven feasible for reliable EGR and CO2 storage. Significant storage potential exists in gas shales, with theoretical CO2 storage resources estimated at approximately 30-50 GtCO2. However, an analysis of the comprehensive cost competitiveness of these various options is necessary to understand the degree to which they might meaningfully impact U.S. CCS deployment or costs. This preliminary analysis shows that the degree to which EGR-based CO2 storage could play a role in commercial-scale deployment is heavily dependent upon the offsetting revenues associated with incremental recovery; modeling the low revenue case resulted in only five shale-based projects, while under the high revenue case, shales accounted for as much as 20 percent of total U.S. storage in the first 20 years of deployment. Interestingly, even in this highest revenue case, there appear to be no negative-cost projects that would be profitable in a no-policy environment as modeled under the assumptions employed. While this reflects a very first look at the potential for shales, it is clear that more laboratory and experimental work are needed to reduce uncertainty in key variables and begin to differentiate and identify high-potential shales for early pilot study.

  6. CBTL Design Case Summary Conventional Feedstock Supply System - Herbaceous

    SciTech Connect (OSTI)

    Christopher T. Wright; Erin M. Searcy

    2012-02-01

    A conventional bale feedstock design has been established that represents supply system technologies, costs, and logistics that are achievable today for supplying herbaceous feedstocks as a blendstock with coal for energy production. Efforts are made to identify bottlenecks and optimize the efficiency and capacities of this supply system, within the constraints of existing local feedstock supplies, equipment, and permitting requirements. The feedstock supply system logistics operations encompass all of the activities necessary to move herbaceous biomass feedstock from the production location to the conversion reactor ready for blending and insertion. This supply system includes operations that are currently available such that costs and logistics are reasonable and reliable. The system modeled for this research project includes the uses of field-dried corn stover or switchgrass as a feedstock to annually supply an 800,000 DM ton conversion facility.

  7. Preferential mode of gas invasion in sediments : grain-scale model of coupled multiphase fluid flow and sediment mechanics

    E-Print Network [OSTI]

    Jain, Antone Kumar

    2009-01-01

    We present a discrete element model for simulating, at the grain scale, gas migration in brine-saturated deformable media. We rigorously account for the presence of two fluids in the pore space by incorporating forces on ...

  8. U.S. Greenhouse Gas Cap-and-Trade Proposals: Application of a Forward-Looking Computable General Equilibrium Model

    E-Print Network [OSTI]

    Gurgel, Angelo C.

    We develop a forward-looking version of the MIT Emissions Prediction and Policy Analysis (EPPA) model, and apply it to examine the economic implications of proposals in the U.S. Congress to limit greenhouse gas (GHG) ...

  9. A comparison of rotordynamic-coefficient predictions for annular honeycomb gas seals using different friction-factor models 

    E-Print Network [OSTI]

    D'Sousa, Rohan Joseph

    2000-01-01

    Predictions of rotordynamic-coefficients for annular honeycomb gas seals are compared using different friction-factor models. Analysis shows that the fundamental improvement in predicting the rotordynamic-coefficients ...

  10. A dynamic process model of a natural gas combined cycle -- Model development with startup and shutdown simulations

    SciTech Connect (OSTI)

    Liese, Eric [U.S. DOE; Zitney, Stephen E. [U.S. DOE

    2013-01-01

    Research in dynamic process simulation for integrated gasification combined cycles (IGCC) with carbon capture has been ongoing at the National Energy Technology Laboratory (NETL), culminating in a full operator training simulator (OTS) and immersive training simulator (ITS) for use in both operator training and research. A derivative work of the IGCC dynamic simulator has been a modification of the combined cycle section to more closely represent a typical natural gas fired combined cycle (NGCC). This paper describes the NGCC dynamic process model and highlights some of the simulator’s current capabilities through a particular startup and shutdown scenario.

  11. "Assessment of the Adequacy of Natural Gas Pipeline Capacity...

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

    Related Articles QER Update and New Reports On-Line DOE-Sponsored Project to Study Shale Gas Production Favorable Supplies, Costs, Environmental Profile for Natural Gas...

  12. Testing a coupled hydro-thermo-chemo-geomechanical model for gas hydrate bearing sediments using triaxial compression lab experiments

    E-Print Network [OSTI]

    Gupta, Shubhangi; Haeckel, Matthias; Helmig, Rainer; Wohlmuth, Barbara

    2015-01-01

    The presence of gas hydrates influences the stress-strain behavior and increases the load-bearing capacity of sub-marine sediments. This stability is reduced or completely lost when gas hydrates become unstable. Since natural gas hydrate reservoirs are considered as potential resources for gas production on industrial scales, there is a strong need for numerical production simulators with geomechanical capabilities. To reliably predict the mechanical behavior of gas hydrate-bearing sediments during gas production, numerical tools must be sufficiently calibrated against data from controlled experiments or field tests, and the models must consider thermo-hydro-chemo-mechanical process coupling in a suitable manner. In this study, we perform a controlled triaxial volumetric strain test on a sediment sample in which methane hydrate is first formed under controlled isotropic effective stress and then dissociated via depressurization under controlled total stress. Sample deformations were kept small, and under thes...

  13. Numerical modeling of two-phase behavior in the PEFC gas diffusion layer

    SciTech Connect (OSTI)

    Mukherjee, Partha Pa223876 [Los Alamos National Laboratory; Kang, Qinjun [Los Alamos National Laboratory; Mukundan, Rangachary [Los Alamos National Laboratory; Borup, Rod L [Los Alamos National Laboratory

    2009-01-01

    A critical performance limitation in the polymer electrolye fuel cell (PEFC) is attributed to the mass transport loss originating from suboptimal liquid water transport and flooding phenomena. Liquid water can block the porous pathways in the fibrous gas diffusion layer (GDL) and the catalyst layer (CL), thus hindering oxygen transport from the flow field to the electrochemically actives sites in the catalyst layer. In this paper, the study of the two phase behavior and the durability implications due to the wetting characteristics in the carbon paper GDL are presented using a pore-scale modeling framework.

  14. DOE/EIA-M062(2009) Model Documentation Natural Gas Transmission and

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions1 0 0 0 09) June(2009) Model

  15. REVISED NATURAL GAS MARKET ASSESSMENT

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION REVISED NATURAL GAS MARKET ASSESSMENT In Support of the 2007's natural gas market. It covers natural gas demand, supply, infrastructure, price, and possible alternative and the related Scenarios Project, and additional updated information. California natural gas demand growth

  16. Lattice-gas model for active vesicle transport by molecular motors with opposite polarities

    E-Print Network [OSTI]

    Sudipto Muhuri; Ignacio Pagonabarraga

    2010-09-09

    We introduce a multi-species lattice gas model for motor protein driven collective cargo transport on cellular filaments. We use this model to describe and analyze the collective motion of interacting vesicle cargoes being carried by oppositely directed molecular motors, moving on a single biofilament. Building on a totally asymmetric exclusion process (TASEP) to characterize the motion of the interacting cargoes, we allow for mass exchange with the environment, input and output at filament boundaries and focus on the role of interconversion rates and how they affect the directionality of the net cargo transport. We quantify the effect of the various different competing processes in terms of non-equilibrium phase diagrams. The interplay of interconversion rates, which allow for flux reversal and evaporation/deposition processes introduce qualitatively new features in the phase diagrams. We observe regimes of three-phase coexistence, the possibility of phase re-entrance and a significant flexibility in how the different phase boundaries shift in response to changes in control parameters. The moving steady state solutions of this model allows for different possibilities for the spatial distribution of cargo vesicles, ranging from homogeneous distribution of vesicles to polarized distributions, characterized by inhomogeneities or {\\it shocks}. Current reversals due to internal regulation emerge naturally within the framework of this model. We believe this minimal model will clarify the understanding of many features of collective vesicle transport, apart from serving as the basis for building more exact quantitative models for vesicle transport relevant to various {\\it in-vivo} situations.

  17. Emergency Food and Water Supplies 

    E-Print Network [OSTI]

    Van Laanen, Peggy

    1999-05-14

    Creating an emergency supply of food and water, and knowing how to safely handle food and water after a disaster, can reduce stress, worry and inconvenience. This publication provides information on water supply storage and purification...

  18. Assessments of long-term uranium supply availability

    E-Print Network [OSTI]

    Zaterman, Daniel R

    2009-01-01

    The future viability of nuclear power will depend on the long-term availability of uranium. A two-form uranium supply model was used to estimate the date at which peak production will occur. The model assumes a constant ...

  19. InterplanetarySupply Chain Management &

    E-Print Network [OSTI]

    de Weck, Olivier L.

    InterplanetarySupply Chain Management & LogisticsArchitectures 2005-2007 MIT JPL USA PSI InterplanetarySupply Chain Management & LogisticsArchitectures 2005-2007 MIT JPL USA PSI Logistics Lessons Learned in NASA Space Flight Interplanetary Supply Chain Management & Logistics Architectures William A

  20. Modeling and Measuring Greenhouse Gas Reduction from Low Carbon Airport Access Modes

    E-Print Network [OSTI]

    Smirti, Megan

    2008-01-01

    Updated State?level Greenhouse  Gas Emission Coefficients Agency (EPA) (2006) Greenhouse Gas Emissions from the U.S.  Port of Seattle (2008) Greenhouse Gas Emissions Inventory.