National Library of Energy BETA

Sample records for barrels actual base

  1. U.S. Natural Gas Plant Liquids, Reserves Based Production (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    Based Production (Million Barrels) U.S. Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 580 1980's 572 580 564 568 597 585 569 585 592 566 1990's 574 601 626 635 634 646 688 690 655 697 2000's 710 675 677 611 645 614 629 650 667 714 2010's 745 784 865 931 1,124 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  2. Table 5. Domestic Crude Oil Production, Projected vs. Actual

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

    Domestic Crude Oil Production, Projected vs. Actual" "Projected" " (million barrels)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,201...

  3. Green Future Double Barrel House

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

    University Green Future Double Barrel House DOE Race to Zero Student Competition 2016 Sean Benson Team Leader - Net Zero Energy Design I & II Bachelor of Science in Architecture, Dec 2016 Alexis Borman Net Zero Energy Design II Bachelor of Science in Architecture, May 2016 Christopher Brown AIA COTE, Net Zero Energy Design I & II Bachelor of Science in Architecture, May 2016 Devonta Magee Net Zero Energy Design II Bachelor of Science in Architecture, Aug 2016 Yasmine Parker Net Zero

  4. DOE - Office of Legacy Management -- Queen City Barrel Co - OH 41

    Office of Legacy Management (LM)

    Queen City Barrel Co - OH 41 FUSRAP Considered Sites Site: QUEEN CITY BARREL CO. (OH.41) Eliminated from further consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Cincinnati , Ohio OH.41-1 Evaluation Year: 1987 OH.41-1 Site Operations: Cleaned and reconditioned 30- and 55-gallon drums. OH.41-2 OH.41-3 Site Disposition: Eliminated - Based upon limited scope of operations, potential for residual radioactive contamination from MED or AEC operations considered

  5. Secretary Bodman Announces Sale of 11 Million Barrels of Crude...

    Office of Environmental Management (EM)

    Sale of 11 Million Barrels of Crude Oil from the Nation's Strategic Petroleum Reserve Secretary Bodman Announces Sale of 11 Million Barrels of Crude Oil from the Nation's Strategic ...

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

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

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Texas Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 ...

  7. Table 4. Total Petroleum Consumption, Projected vs. Actual

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

    Total Petroleum Consumption, Projected vs. Actual" "Projected" " (million barrels)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",6449.55,6566.35,6643,6723.3,6810.9,6880.25,6956.9,7059.1,7124.8,7205.1,7296.35,7376.65,7446,7522.65,7595.65,7665,7712.45,7774.5 "AEO

  8. Table 6. Petroleum Net Imports, Projected vs. Actual

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

    Petroleum Net Imports, Projected vs. Actual" "Projected" " (million barrels)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",2934.6,3201.05,3361.65,3504,3657.3,3737.6,3879.95,3993.1,4098.95,4212.1,4303.35,4398.25,4474.9,4540.6,4584.4,4639.15,4668.35,4672 "AEO

  9. The How's and Why's of Replacing the Whole Barrel | Department...

    Energy Savers [EERE]

    A 42-U.S. gallon barrel of crude oil yields about 45 gallons of petroleum products. Source: Energy Information Administration, Oil: Crude Oil and Petroleum Products ...

  10. Utah Crude Oil + Lease Condensate Proved Reserves (Million Barrels...

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

    Utah Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0 Year-1 ... Release Date: 11192015 Next Release Date: 12312016 Referring Pages: Crude Oil plus ...

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

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

    Ohio Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0 Year-1 ... Release Date: 11192015 Next Release Date: 12312016 Referring Pages: Crude Oil plus ...

  12. Kansas Natural Gas Liquids Lease Condensate, Reserves Based Production...

    Gasoline and Diesel Fuel Update (EIA)

    Reserves Based Production (Million Barrels) Kansas Natural Gas Liquids Lease Condensate, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

  13. Beam test of the SDC barrel EM calorimeter test module

    SciTech Connect (OSTI)

    Balka, L.; Guarino, V.; Hill, N.

    1994-05-01

    The SDC barrel electromagnetic calorimeter test module was exposed to beams of high energy pions and electrons in the MP9 test beam at Fermilab in the fall of 1991. Data were collected on resolution, light yield, signal timing and hermiticity. These data demonstrated that the design met the specifications for the barrel electromagnetic calorimeter of the Solenoidal Detector collaboration (SDC).

  14. Modeling of gun barrel surface erosion: Historic perspective

    SciTech Connect (OSTI)

    Buckingham, A.C.

    1996-08-01

    Results and interpretations of numerical simulations of some dominant processes influencing gun barrel propellant combustion and flow-induced erosion are presented. Results include modeled influences of erosion reduction techniques such as solid additives, vapor phase chemical modifications, and alteration of surface solid composition through use of thin coatings. Precedents and historical perspective are provided with predictions from traditional interior ballistics compared to computer simulations. Accelerating reactive combustion flow, multiphase and multicomponent transport, flow-to-surface thermal/momentum/phase change/gas-surface chemical exchanges, surface and micro-depth subsurface heating/stress/composition evolution and their roles in inducing surface cracking, spall, ablation, melting, and vaporization are considered. Recognition is given to cyclic effects of previous firing history on material preconditioning. Current perspective and outlook for future are based on results of a US Army-LLNL erosion research program covering 7 y in late 1970s. This is supplemented by more recent research on hypervelocity electromagnetic projectile launchers.

  15. Table 4. Total Petroleum Consumption, Projected vs. Actual

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

    Total Petroleum Consumption, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 6450 6566 6643 6723 6811 6880 6957 7059 7125 7205 7296 7377 7446 7523 7596 7665 7712 7775 AEO 1995 6398 6544 6555 6676 6745 6822 6888 6964 7048 7147 7245 7337 7406 7472 7537 7581 7621 AEO 1996 6490 6526 6607 6709 6782 6855 6942 7008 7085 7176 7260 7329 7384 7450 7501 7545 7581 7632 7676 AEO 1997 6636 6694

  16. Table 5. Domestic Crude Oil Production, Projected vs. Actual

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

    Domestic Crude Oil Production, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 2508 2373 2256 2161 2088 2022 1953 1891 1851 1825 1799 1781 1767 1759 1778 1789 1807 1862 AEO 1995 2402 2307 2205 2095 2037 1967 1953 1924 1916 1905 1894 1883 1887 1887 1920 1945 1967 AEO 1996 2387 2310 2248 2172 2113 2062 2011 1978 1953 1938 1916 1920 1927 1949 1971 1986 2000 2018 2055 AEO 1997 2362 2307

  17. Table 6. Petroleum Net Imports, Projected vs. Actual Projected

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

    Petroleum Net Imports, Projected vs. Actual Projected (million barrels) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 2935 3201 3362 3504 3657 3738 3880 3993 4099 4212 4303 4398 4475 4541 4584 4639 4668 4672 AEO 1995 2953 3157 3281 3489 3610 3741 3818 3920 4000 4103 4208 4303 4362 4420 4442 4460 4460 AEO 1996 3011 3106 3219 3398 3519 3679 3807 3891 3979 4070 4165 4212 4260 4289 4303 4322 4325 4347 4344 AEO 1997 3099 3245 3497

  18. Biomass 2011: Replace the Whole Barrel, Supply the Whole Market |

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

    Department of Energy 1: Replace the Whole Barrel, Supply the Whole Market Biomass 2011: Replace the Whole Barrel, Supply the Whole Market The New Horizons of Bioenergy Biomass 2011 July 26-27, 2011 Gaylord National Resort and Convention Center 201 Waterfront Street National Harbor, MD 20745 Thank you to everyone who attended and participated to help make Biomass 2011 a remarkable success. More than 600 speakers, moderators, sponsors, exhibitors, and attendees were able to listen to

  19. Emissions of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans from the open burning of household waste in barrels

    SciTech Connect (OSTI)

    Lemieux, P.M.; Lutes, C.C.; Abbott, J.A.; Aldous, K.M.

    2000-02-01

    Backyard burning of household waste in barrels is a common waste disposal practice for which pollutant emissions have not been well characterized. This study measured the emissions of several pollutants, including polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDDs/PCDFs), from burning mixtures designed to simulate waste generated by a recycling and a nonrecycling family in a 208-L (55-gal) burn barrel at the EPA's Open Burning Test Facility. This paper focuses on the PCDD/PCDF emissions and discusses the factors influencing PCDD/PCDF formation for different test burns. Four test burns were made in which the amount of waste placed in the barrel varied from 6.4 to 13.6 kg and the amount actually burned varied from 46.6% to 68.1%. Emissions of total PCDDs/PCDFs ranged between 0.0046 and 0.48 mg/kg of waste burned. Emissions are also presented in terms of 2,3,7,8-TCDD toxic equivalents. Emissions of PCDDs/PCDFs appear to correlate with both copper and hydrochloric acid emissions. The results of this study indicate that backyard burning emits more PCDDs/PCDFs on a mass of refuse burned basis than various types of municipal waste combustors (MWCs). Comparison of burn barrel emissions to emissions from a hypothetical modern MWC equipped with high-efficiency flue gas cleaning technology indicates that about 2--40 households burning their trash daily in barrels can produce average PCDD/PCDF emissions comparable to a 182,000 kg/day (200 ton/day) MWC facility. This study provides important data on a potentially significant source of emissions of PCDDs/PCDFs.

  20. Simulation and testing of pyramid and barrel vault skylights

    SciTech Connect (OSTI)

    McGowan, A.G.; Desjarlais, A.O.; Wright, J.L.

    1998-10-01

    The thermal performance of fenestration in commercial buildings can have a significant effect on building loads--yet there is little information on the performance of these products. With this in mind, ASHRAE TC 4.5, Fenestration, commissioned a research project involving test and simulation of commercial fenestration systems. The objectives of ASHRAE Research Project 877 were: to evaluate the thermal performance (U-factors) of commonly used commercial glazed roof and wall assemblies; to obtain a better fundamental understanding of the heat transfer processes that occur in these specialty fenestration products; to develop correlations for natural-convection heat transfer in complex glazing cavities; to develop a methodology for evaluating complex fenestration products, suitable for inclusion in ASHRAE Standard 142P (ASHRAE 1996); and to generate U-factors for common commercial fenestration products, suitable for inclusion in the ASHRAE Handbook--Fundamentals. This paper describes testing and simulation of pyramid and barrel vault skylight specimens and provides guidelines for modeling these systems based on the validated results.

  1. Michigan Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)

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

    Reserves in Nonproducing Reservoirs (Million Barrels) Michigan Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 3 1 2000's 4 6 4 14 10 17 15 2 9 6 2010's 0 0 0 4 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Proved Nonproducing Reserves of

  2. Montana Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)

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

    Reserves in Nonproducing Reservoirs (Million Barrels) Montana Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 6 83 2000's 36 43 65 79 104 88 91 90 50 42 2010's 74 59 95 104 155 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Proved Nonproducing

  3. Utah Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)

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

    Reserves in Nonproducing Reservoirs (Million Barrels) Utah Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 36 58 2000's 91 100 91 76 61 52 164 174 140 235 2010's 257 258 368 312 261 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Proved

  4. Wyoming Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)

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

    Reserves in Nonproducing Reservoirs (Million Barrels) Wyoming Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 31 52 2000's 63 74 69 61 45 249 258 208 162 144 2010's 152 188 233 219 362 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Proved

  5. Arkansas Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)

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

    Reserves in Nonproducing Reservoirs (Million Barrels) Arkansas Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 2 5 2000's 7 4 5 2 3 2 1 0 0 0 2010's 1 0 11 10 8 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Proved Nonproducing Reserves of Crude

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

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

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels) California Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 2,835 2010's 2,939 3,009 2,976 2,878 2,874 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate Proved

  7. Colorado Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)

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

    Reserves in Nonproducing Reservoirs (Million Barrels) Colorado Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 26 30 2000's 49 44 56 61 62 74 102 122 123 42 2010's 180 208 283 607 765 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Proved

  8. Florida Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)

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

    Reserves in Nonproducing Reservoirs (Million Barrels) Florida Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 6 12 2000's 9 7 7 6 6 2 1 12 0 2 2010's 2 4 3 9 6 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Proved Nonproducing Reserves of Crude

  9. Illinois Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)

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

    Reserves in Nonproducing Reservoirs (Million Barrels) Illinois Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 4 11 2000's 4 15 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Proved Nonproducing Reserves of Crude Oil Illinois Proved

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

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

    + Lease Condensate Proved Reserves (Million Barrels) Kansas Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 264 2010's 302 350 382 390 451 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate Proved Reserves, as of Dec. 31

  11. Kansas Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)

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

    Reserves in Nonproducing Reservoirs (Million Barrels) Kansas Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 11 12 2000's 13 21 23 18 11 16 17 9 11 3 2010's 2 4 6 11 34 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Proved Nonproducing Reserves

  12. Kentucky Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)

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

    Reserves in Nonproducing Reservoirs (Million Barrels) Kentucky Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 0 0 2000's 0 0 4 4 5 5 0 0 1 3 2010's 0 0 0 1 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Proved Nonproducing Reserves of Crude

  13. Ohio Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)

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

    Reserves in Nonproducing Reservoirs (Million Barrels) Ohio Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 0 17 2000's 10 6 8 8 7 7 8 8 7 5 2010's 1 1 2 7 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Proved Nonproducing Reserves of Crude Oil

  14. Oklahoma Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)

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

    Reserves in Nonproducing Reservoirs (Million Barrels) Oklahoma Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 98 80 2000's 111 109 105 92 92 101 90 118 129 138 2010's 143 244 279 292 444 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Proved

  15. Utah Natural Gas Liquids Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Million Barrels) Utah Natural Gas Liquids Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 59 1980's 127 277 2000's 108 116 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Natural Gas Liquids Proved Reserves as of Dec. 31 Utah Natural Gas Liquids Proved Reserves

  16. Wyoming Natural Gas Liquids Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Million Barrels) Wyoming Natural Gas Liquids Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 285 1980's 341 384 2000's 1,032 1,121 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Natural Gas Liquids Proved Reserves as of Dec. 31 Wyoming Natural Gas Liquids Proved

  17. Apparatus and method for quantitative assay of samples of transuranic waste contained in barrels in the presence of matrix material

    DOE Patents [OSTI]

    Caldwell, J.T.; Herrera, G.C.; Hastings, R.D.; Shunk, E.R.; Kunz, W.E.

    1987-08-28

    Apparatus and method for performing corrections for matrix material effects on the neutron measurements generated from analysis of transuranic waste drums using the differential-dieaway technique. By measuring the absorption index and the moderator index for a particular drum, correction factors can be determined for the effects of matrix materials on the ''observed'' quantity of fissile and fertile material present therein in order to determine the actual assays thereof. A barrel flux monitor is introduced into the measurement chamber to accomplish these measurements as a new contribution to the differential-dieaway technology. 9 figs.

  18. U.S. monthly oil production tops 8 million barrels per day for...

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

    Next year....non-OPEC supply is expected to rise another 1.5 million barrels per day and demand will rise 1.4 million barrels per day. Expanded drilling in shale formations in ...

  19. U.S. Natural Gas Total Liquids Extracted (Thousand Barrels)

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

    Total Liquids Extracted (Thousand Barrels) U.S. Natural Gas Total Liquids Extracted (Thousand Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 569,968 599,518 584,160 571,256 587,502 594,306 569,913 1990's 573,054 602,734 626,320 634,481 635,983 649,149 689,314 690,999 668,011 686,862 2000's 721,895 682,873 681,646 622,291 657,032 619,884 637,635 658,291 673,677 720,612 2010's 749,095 792,481 873,563 937,591 1,124,416 - = No Data Reported; -- = Not

  20. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected...

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

    Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Council Region, " ,"2005 and Projected 2006 through 2010 " ,"(Megawatts and 2005 Base ...

  1. Utah Natural Gas Plant Liquids, Reserves Based Production (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 48,965 46,151 46,733 1970's 42,781 42,418 39,474 42,715 50,522 55,354 57,416 60,696 58,416 58,605 1980's 87,766 91,191 94,255 63,158 74,698 83,405 90,013 87,158 101,372 120,089 1990's 145,875 144,817 171,293 225,401 270,858 241,290 250,767 257,139 277,340 262,614 2000's 269,285 283,913 274,739 268,058 277,969 301,223 348,320 376,409 433,566 444,162 2010's 432,045 457,525 490,393 470,863 453,207 422,423

    Year

  2. Master plate production for the tile calorimeter extended barrel modules.

    SciTech Connect (OSTI)

    Guarino, V.J.; Hill, N.; Petereit, E.; Price, L.E.; Proudfoot, J.; Wood, K.

    1999-03-10

    Approximately 41,000 master plates (Fig. 1) are required for the Extended Barrel Hadronic Calorimeter for the ATLAS experiment at the LHC. Early in the R&D program associated with the detector, it was recognized that the fabrication of these steel laminations was a significant issue, both in terms of the cost to produce these high precision formed plates, as well as the length of time required to produce all plates for the calorimeter. Two approaches were given serious consideration: laser cutting and die stamping. The Argonne group was a strong supporter of the latter approach and in late 1995 initiated an R&D program to demonstrate the feasibility and cost effectiveness of die stamping these plates by constructing a die and stamping approximately 2000 plates for use in construction of three full size prototype modules. This was extremely successful and die stamping was selected by the group for production of these plates. When the prototype die was constructed it was matched to the calorimeter envelope at that time. This subsequently changed. However with some minor adjustments in the design envelope and a small compromise in terms of instrumented volume, it became possible to use this same die for the production of all master plates for the Tile Calorimeter. Following an extensive series of discussions and an evaluation of the performance of the stamping presses available to our collaborators in Europe, it was decided to ship the US die to CERN for use in stamping master plates for the barrel section of the calorimeter. This was done under the supervision of CERN and JINR, Dubna, and carried out at the TATRA truck plant at Koprivinice, Czech Republic. It was a great success. Approximately 41,000 plates were stamped and fully met specification. Moreover, the production time was significantly reduced by avoiding the need of constructing and then qualifying a second die for use in Europe. This also precluded small geometrical differences between the barrel and

  3. Nebraska Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)

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

    Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 0 0 2000's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Proved Nonproducing Reserves of Crude Oil Nebraska Proved Nonproducing Reserves

  4. Indiana Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)

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

    Indiana Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 0 0 2000's 0 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Proved Nonproducing Reserves of Crude Oil Indiana Proved Nonproducing Reserves

  5. Federal Offshore--Texas Natural Gas Plant Liquids, Reserves Based...

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

    Reserves Based Production (Million Barrels) Federal Offshore--Texas Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

  6. New Mexico Natural Gas Plant Liquids, Reserves Based Production...

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

    Reserves Based Production (Million Barrels) New Mexico Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 ...

  7. An analysis of increasing the size of the strategic petroleum reserve to one billion barrels

    SciTech Connect (OSTI)

    Not Available

    1990-01-01

    The Department of Energy's Office of Energy Emergency Policy and Evaluation requested that the Energy Information Administration complete an analysis of the proposed expansion in the Strategic Petroleum Reserve (SPR) from its currently planned size of 750 million barrels to 1000 million barrels. Because the SPR contains only 580 million barrels at this point in time, the benefits and costs of increasing the SPR from 600 to 750 million barrels were also estimated. This report documents the assumptions, methodology, and results of the analysis. 17 figs., 15 tabs.

  8. How People Actually Use Thermostats

    SciTech Connect (OSTI)

    Meier, Alan; Aragon, Cecilia; Hurwitz, Becky; Mujumdar, Dhawal; Peffer, Therese; Perry, Daniel; Pritoni, Marco

    2010-08-15

    Residential thermostats have been a key element in controlling heating and cooling systems for over sixty years. However, today's modern programmable thermostats (PTs) are complicated and difficult for users to understand, leading to errors in operation and wasted energy. Four separate tests of usability were conducted in preparation for a larger study. These tests included personal interviews, an on-line survey, photographing actual thermostat settings, and measurements of ability to accomplish four tasks related to effective use of a PT. The interviews revealed that many occupants used the PT as an on-off switch and most demonstrated little knowledge of how to operate it. The on-line survey found that 89% of the respondents rarely or never used the PT to set a weekday or weekend program. The photographic survey (in low income homes) found that only 30% of the PTs were actually programmed. In the usability test, we found that we could quantify the difference in usability of two PTs as measured in time to accomplish tasks. Users accomplished the tasks in consistently shorter times with the touchscreen unit than with buttons. None of these studies are representative of the entire population of users but, together, they illustrate the importance of improving user interfaces in PTs.

  9. Table 3a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual

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

    a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars per barrel in ""dollar year"" specific to each AEO)" ,"AEO $ Year",1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",1992,16.69,16.42999,16.9899,17.66,18.28,19.0599,19.89,20.72,21.65,22.61,23.51,24.29,24.9,25.6,26.3,27,27.64,28.16

  10. Tapered laser rods as a means of minimizing the path length of trapped barrel mode rays

    DOE Patents [OSTI]

    Beach, Raymond J.; Honea, Eric C.; Payne, Stephen A.; Mercer, Ian; Perry, Michael D.

    2005-08-30

    By tapering the diameter of a flanged barrel laser rod over its length, the maximum trapped path length of a barrel mode can be dramatically reduced, thereby reducing the ability of the trapped spontaneous emission to negatively impact laser performance through amplified spontaneous emission (ASE). Laser rods with polished barrels and flanged end caps have found increasing application in diode array end-pumped laser systems. The polished barrel of the rod serves to confine diode array pump light within the rod. In systems utilizing an end-pumping geometry and such polished barrel laser rods, the pump light that is introduced into one or both ends of the laser rod, is ducted down the length of the rod via the total internal reflections (TIRs) that occur when the light strikes the rod's barrel. A disadvantage of using polished barrel laser rods is that such rods are very susceptible to barrel mode paths that can trap spontaneous emission over long path lengths. This trapped spontaneous emission can then be amplified through stimulated emission resulting in a situation where the stored energy available to the desired lasing mode is effectively depleted, which then negatively impacts the laser's performance, a result that is effectively reduced by introducing a taper onto the laser rod.

  11. New Mexico--East Natural Gas Plant Liquids, Reserves Based Production...

    Gasoline and Diesel Fuel Update (EIA)

    Reserves Based Production (Million Barrels) New Mexico--East Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 ...

  12. New Mexico--West Natural Gas Plant Liquids, Reserves Based Production...

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

    Reserves Based Production (Million Barrels) New Mexico--West Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 ...

  13. Caustic-Side Solvent Extraction: Prediction of Cesium Extraction for Actual Wastes and Actual Waste Simulants

    SciTech Connect (OSTI)

    Delmau, L.H.; Haverlock, T.J.; Sloop, F.V., Jr.; Moyer, B.A.

    2003-02-01

    This report presents the work that followed the CSSX model development completed in FY2002. The developed cesium and potassium extraction model was based on extraction data obtained from simple aqueous media. It was tested to ensure the validity of the prediction for the cesium extraction from actual waste. Compositions of the actual tank waste were obtained from the Savannah River Site personnel and were used to prepare defined simulants and to predict cesium distribution ratios using the model. It was therefore possible to compare the cesium distribution ratios obtained from the actual waste, the simulant, and the predicted values. It was determined that the predicted values agree with the measured values for the simulants. Predicted values also agreed, with three exceptions, with measured values for the tank wastes. Discrepancies were attributed in part to the uncertainty in the cation/anion balance in the actual waste composition, but likely more so to the uncertainty in the potassium concentration in the waste, given the demonstrated large competing effect of this metal on cesium extraction. It was demonstrated that the upper limit for the potassium concentration in the feed ought to not exceed 0.05 M in order to maintain suitable cesium distribution ratios.

  14. U.S. crude oil production expected to top 9 million barrels per day in December

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

    crude oil production expected to top 9 million barrels per day in December U.S. crude oil production is expected to continue to increase through next year, despite the outlook for lower crude oil prices. In its new short-term forecast, the U.S. Energy Information Administration said monthly average oil production is on track to surpass 9 million barrels per day in December for the first time since 1986 and then rise to an average 9.4 million barrels a day next year. Even though that's down about

  15. U.S. monthly oil production tops 8 million barrels per day for...

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

    monthly crude oil production highest in 26 years with bigger oil flows still to come U.S. crude oil production averaged 8.3 million barrels per day in April....the highest monthly ...

  16. U.S. monthly oil production tops 8 million barrels per day for...

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

    That's down about a penny from last year and the lowest average summer gasoline price ... The savings for drivers mainly reflects a 2 decline in the price of a barrel of North Sea ...

  17. U.S. monthly oil production tops 8 million barrels per day for...

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

    in the Bakken formation in North Dakota and Montana hit 1 million barrels per day last November. However, winter storms caused a drop in the oil output from the Bakken formation ...

  18. U.S. monthly oil production tops 8 million barrels per day for...

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

    in November topped 8 million barrels per day for the first time in 25 years, according to the new monthly energy forecast from the U.S. Energy Information Administration. ...

  19. DOE to Sell 35,000 Barrels of Oil from the Northeast Home Heating Oil Reserve

    Broader source: Energy.gov [DOE]

    WASHINGTON, DC - The U.S. Department of Energy announced today that it will sell approximately 35,000 barrels of home heating oil from the Northeast Home Heating Oil Reserve (NEHHOR).  The Reserve...

  20. Small arms mini-fire control system: fiber-optic barrel deflection...

    Office of Scientific and Technical Information (OSTI)

    Conference: Small arms mini-fire control system: fiber-optic barrel deflection sensor Citation Details In-Document Search Title: Small arms mini-fire control system: fiber-optic ...

  1. U.S. monthly oil production tops 8 million barrels per day for...

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

    to account for 91% of the growth in world oil production in 2015 The United States is expected to provide nine out of every 10 barrels of new global oil supplies in 2015. In its ...

  2. U.S. crude oil production expected to top 8 million barrels per...

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

    that U.S. crude oil output exceeded 8 million barrels per day. The higher production over the next two years will be due mainly to increased oil drilling in North Dakota and Texas

  3. U.S. Natural Gas Plant Liquids, Reserves Sales (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    Sales (Million Barrels) U.S. Natural Gas Plant Liquids, Reserves Sales (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 906 448 458 403 442 440 931 670 282 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Natural Gas Liquids Reserves Sales

  4. Could Material Defects Actually Improve Solar Cells?

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

    Could Material Defects Actually Improve Solar Cells? Could Material Defects Actually Improve Solar Cells? March 21, 2016 Contact: Kathy Kincade, kkincade@lbl.gov, +1 510 495 2124 NRELsolarcell Scientists at the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) are using supercomputers to study what may seem paradoxical: certain defects in silicon solar cells may actually improve their performance. The findings, published January 11, 2016 in Applied Physics Letters,

  5. Table 3a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual

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

    a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual Projected Price in Constant Dollars (constant dollars per barrel in "dollar year" specific to each AEO) AEO $ Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 1992 16.69 16.43 16.99 17.66 18.28 19.06 19.89 20.72 21.65 22.61 23.51 24.29 24.90 25.60 26.30 27.00 27.64 28.16 AEO 1995 1993 14.90 16.41 16.90 17.45 18.00 18.53 19.13 19.65 20.16 20.63

  6. Quantitative/Statistical Approach to Bullet-to-Firearm Identification with Consecutively Manufactured Barrels

    SciTech Connect (OSTI)

    Peter Striupaitis; R.E. Gaensslen

    2005-01-30

    Efforts to use objective image comparison and bullet scanning technologies to distinguish bullets from consecutively manufactured handgun barrels from two manufacturers gave mixed results. The ability of a technology to reliably distinguish between matching and non-matching bullets, where the non-matching bullets were as close in pattern to the matching ones as is probably possible, would provide evidence that the distinctions could be made ''objectively'', and independently of human eyes. That evidence is identical or very close to what seems to be needed to satisfy Daubert standards. It is fair to say that the FTI IBIS image comparison technology correctly distinguished between all the Springfield barrel bullets, and between most but not all of the HiPoint barrel bullets. In the HiPoint cases that were not distinguished 100% of the time, they would he distinguished correctly at least 83% of the time. These results, although obviously limited to the materials used in the comparisons, provide strong evidence that barrel-to-bullet matching is objectively reliable. The results with SciClops were less compelling. The results do not mean that bullet-to-barrel matching is not objectively reliable--rather, they mean that this version of the particular technology could not quite distinguish between these extremely similar yet different bullets as well as the image comparison technology did. In a number of cases, the numerical results made the correct distinctions, although they were close to one another. It is hard to say from this data that this technology differs in its ability to make distinctions between the manufacturers, because the results are very similar with both. The human examiner results were as expected. We did not expect any misidentifications, and there were not any. It would have been preferable to have a higher return rate, and thus more comparisons in the overall sample. As noted, the ''consecutively manufactured barrel exercise'' has been done before

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

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

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  8. ,"Alaska Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel

  9. ,"Arkansas Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  10. ,"Arkansas Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  11. ,"Arkansas Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  12. ,"Calif--Coastal Region Onshore Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)"

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

    Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Calif--Coastal Region Onshore Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  13. ,"California - Coastal Region Onshore Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California - Coastal Region Onshore Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

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

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

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  15. ,"California Federal Offshore Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Federal Offshore Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  16. ,"California State Offshore Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California State Offshore Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  17. ,"California--State Offshore Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)"

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

    Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California--State Offshore Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  18. ,"California--State Offshore Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California--State Offshore Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  19. ,"California--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California--State Offshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

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

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

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

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

    Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  2. ,"Colorado Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  3. ,"Federal Offshore--California Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)"

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

    Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--California Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

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

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

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

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

    Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  6. ,"Florida Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

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

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  8. ,"Indiana Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  9. ,"Kansas Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

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

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

    Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  11. ,"Louisiana Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  12. ,"Louisiana--South Onshore Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)"

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

    Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana--South Onshore Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  13. ,"Louisiana--South Onshore Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana--South Onshore Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

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

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

    Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Lower 48 States Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  15. ,"Michigan Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  16. ,"Michigan Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

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

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Miscellaneous States Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

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

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

    Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Miscellaneous States Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  19. ,"Mississippi Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

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

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

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

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

    Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  2. ,"Nebraska Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  3. ,"Nebraska Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

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

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

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

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

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

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel

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

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

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel

  8. ,"U.S. Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

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

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

    Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  10. ,"U.S. Total Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)"

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

    Reserves in Nonproducing Reservoirs (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Total Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel

  11. ,"Utah Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  12. ,"Utah Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

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

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel

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

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

    + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  15. ,"Wyoming Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  16. U.S. Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

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

    Proved Reserves (Million Barrels) U.S. Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 22,315 2010's 25,181 28,950 33,403 36,520 39,933 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate Proved Reserves, as of Dec. 31

  17. U.S. Crude Oil + Lease Condensate Reserves Acquisitions (Million Barrels)

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

    Acquisitions (Million Barrels) U.S. Crude Oil + Lease Condensate Reserves Acquisitions (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 344 2010's 1,470 1,561 1,234 1,925 2,828 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate Reserves Acquisitions

  18. U.S. Crude Oil + Lease Condensate Reserves Adjustments (Million Barrels)

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

    Adjustments (Million Barrels) U.S. Crude Oil + Lease Condensate Reserves Adjustments (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 46 2010's 188 207 137 -595 440 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate Proved Reserves

  19. U.S. Crude Oil + Lease Condensate Reserves Extensions (Million Barrels)

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

    Extensions (Million Barrels) U.S. Crude Oil + Lease Condensate Reserves Extensions (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 1,305 2010's 1,766 3,107 5,191 4,973 5,021 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate Reserves Extensions

  20. U.S. Crude Oil + Lease Condensate Reserves Sales (Million Barrels)

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

    Sales (Million Barrels) U.S. Crude Oil + Lease Condensate Reserves Sales (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 249 2010's 803 1,024 819 1,536 2,475 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate Reserves Sales

  1. Video: SuperTruck Barreling Down the Road of Sustainability | Department of

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

    Energy SuperTruck Barreling Down the Road of Sustainability Video: SuperTruck Barreling Down the Road of Sustainability May 14, 2015 - 4:30pm Addthis New Energy 101 video shows how the Energy Department's SuperTruck initiative is making Class 8 trucks more fuel efficient and less expensive to operate. | Office of Energy Efficiency and Renewable Energy video. Paul Lester Paul Lester Digital Content Specialist, Office of Public Affairs KEY FACTS SuperTruck initiative helping make Class 8

  2. U.S. Natural Gas Plant Liquids, Reserves Acquisitions (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    Acquisitions (Million Barrels) U.S. Natural Gas Plant Liquids, Reserves Acquisitions (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 1,051 550 512 433 554 596 1,048 771 332 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Natural Gas Liquids Reserves Acquisitions

  3. U.S. Natural Gas Plant Liquids, Reserves Adjustments (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    Adjustments (Million Barrels) U.S. Natural Gas Plant Liquids, Reserves Adjustments (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 64 1980's 153 231 299 849 -123 426 367 231 11 -277 1990's -83 233 225 102 43 192 474 -15 -361 99 2000's -83 -429 62 -338 273 -89 173 -139 76 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

  4. U.S. Natural Gas Plant Liquids, Reserves Extensions (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    Extensions (Million Barrels) U.S. Natural Gas Plant Liquids, Reserves Extensions (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 364 1980's 418 542 375 321 348 337 263 213 268 259 1990's 299 189 190 245 314 432 451 535 383 313 2000's 645 717 612 629 734 863 924 1,030 956 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

  5. New Mexico Natural Gas Liquids Lease Condensate, Reserves Based...

    Gasoline and Diesel Fuel Update (EIA)

    Reserves Based Production (Million Barrels) New Mexico Natural Gas Liquids Lease ... Referring Pages: Lease Condensate Estimated Production New Mexico Lease Condensate Proved ...

  6. U.S. Total Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)

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

    Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) U.S. Total Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 3,474 3,755 4,147 4,206 2000's 4,019 5,195 5,271 5,580 5,143 5,691 5,174 5,455 5,400 6,015 2010's 6,980 9,049 11,884 13,200 14,816 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

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

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Million Barrels) U.S. Natural Gas Plant Liquids, Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 6,615 1980's 6,728 7,068 7,221 7,901 7,643 7,944 8,165 8,147 8,238 7,769 1990's 7,586 7,464 7,451 7,222 7,170 7,399 7,823 7,973 7,524 7,906 2000's 8,345 7,993 7,994 7,459 7,928 8,165 8,472 9,143 9,275 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  8. FY 2013 Real Property Deferred, Actual, and Required Maintenance...

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

    Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2013 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2013 DARM ...

  9. FY 2012 Real Property Deferred, Actual, and Required Maintenance...

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

    Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2012 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2012 DARM ...

  10. Table 13. Coal Production, Projected vs. Actual

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

    Coal Production, Projected vs. Actual" "Projected" " (million short tons)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",999,1021,1041,1051,1056,1066,1073,1081,1087,1098,1107,1122,1121,1128,1143,1173,1201,1223 "AEO 1995",,1006,1010,1011,1016,1017,1021,1027,1033,1040,1051,1066,1076,1083,1090,1108,1122,1137 "AEO

  11. Table 22. Energy Intensity, Projected vs. Actual

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

    Energy Intensity, Projected vs. Actual" "Projected" " (quadrillion Btu / $Billion 2005 Chained GDP)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",10.89145253,10.73335719,10.63428655,10.48440125,10.33479508,10.20669515,10.06546105,9.94541493,9.822393757,9.707148466,9.595465524,9.499032573,9.390723436,9.29474735,9.185496812,9.096176848,9.007677565,8.928276581 "AEO

  12. Secretary Bodman Announces Sale of 11 Million Barrels of Crude Oil from the Nation's Strategic Petroleum Reserve

    Office of Energy Efficiency and Renewable Energy (EERE)

    WASHINGTON, DC - Secretary Samuel W. Bodman announced that the Department of Energy has approved bids for the sale of 11 million barrels of crude oil from the Strategic Petroleum Reserve (SPR)....

  13. ,"California--Coastal Region Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Coastal Region Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California--Coastal Region Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release

  14. ,"California--Los Angeles Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Los Angeles Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California--Los Angeles Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release

  15. ,"California--San Joaquin Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    San Joaquin Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California--San Joaquin Basin Onshore Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release

  16. The design and performance of a twenty barrel hydrogen pellet injector for Alcator C-Mod

    SciTech Connect (OSTI)

    Urbahn, J.A.

    1994-05-01

    A twenty barrel hydrogen pellet injector has been designed, built and tested both in the laboratory and on the Alcator C-Mod Tokamak at MIT. The injector functions by firing pellets of frozen hydrogen or deuterium deep into the plasma discharge for the purpose of fueling the plasma, modifying the density profile and increasing the global energy confinement time. The design goals of the injector are: (1) Operational flexibility, (2) High reliability, (3) Remote operation with minimal maintenance. These requirements have lead to a single stage, pipe gun design with twenty barrels. Pellets are formed by in- situ condensation of the fuel gas, thus avoiding moving parts at cryogenic temperatures. The injector is the first to dispense with the need for cryogenic fluids and instead uses a closed cycle refrigerator to cool the thermal system components. The twenty barrels of the injector produce pellets of four different size groups and allow for a high degree of flexibility in fueling experiments. Operation of the injector is under PLC control allowing for remote operation, interlocked safety features and automated pellet manufacturing. The injector has been extrusively tested and shown to produce pellets reliably with velocities up to 1400 m/sec. During the period from September to November of 1993, the injector was successfully used to fire pellets into over fifty plasma discharges. Experimental results include data on the pellet penetration into the plasma using an advanced pellet tracking diagnostic with improved time and spatial response. Data from the tracker indicates pellet penetrations were between 30 and 86 percent of the plasma minor radius.

  17. Precise mapping of the magnetic field in the CMS barrel yoke using cosmic rays

    SciTech Connect (OSTI)

    Chatrchyan, S.; et al.,

    2010-03-01

    The CMS detector is designed around a large 4 T superconducting solenoid, enclosed in a 12000-tonne steel return yoke. A detailed map of the magnetic field is required for the accurate simulation and reconstruction of physics events in the CMS detector, not only in the inner tracking region inside the solenoid but also in the large and complex structure of the steel yoke, which is instrumented with muon chambers. Using a large sample of cosmic muon events collected by CMS in 2008, the field in the steel of the barrel yoke has been determined with a precision of 3 to 8% depending on the location.

  18. Replacing the Whole BarrelTo Reduce U.S. Dependence on Oil

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

    Replacing the Whole Barrel To Reduce U.S. Dependence on Oil July 2013 Biofuels are improving America's energy security and helping to lower prices at the pump. Photo: iStock/ 3295439. Cover photos from iStock/ 13311982, 8047298, 6019274, 16059398, 6439341 If we are going to control our energy future, then we've got to have an all-of-the-above strategy. We've got to develop every source of American energy-not just oil and gas, but wind power and solar power, nuclear power, biofuels. President

  19. Stereotactic, Single-Dose Irradiation of Lung Tumors: A Comparison of Absolute Dose and Dose Distribution Between Pencil Beam and Monte Carlo Algorithms Based on Actual Patient CT Scans

    SciTech Connect (OSTI)

    Chen Huixiao; Lohr, Frank; Fritz, Peter; Wenz, Frederik; Dobler, Barbara; Lorenz, Friedlieb; Muehlnickel, Werner

    2010-11-01

    Purpose: Dose calculation based on pencil beam (PB) algorithms has its shortcomings predicting dose in tissue heterogeneities. The aim of this study was to compare dose distributions of clinically applied non-intensity-modulated radiotherapy 15-MV plans for stereotactic body radiotherapy between voxel Monte Carlo (XVMC) calculation and PB calculation for lung lesions. Methods and Materials: To validate XVMC, one treatment plan was verified in an inhomogeneous thorax phantom with EDR2 film (Eastman Kodak, Rochester, NY). Both measured and calculated (PB and XVMC) dose distributions were compared regarding profiles and isodoses. Then, 35 lung plans originally created for clinical treatment by PB calculation with the Eclipse planning system (Varian Medical Systems, Palo Alto, CA) were recalculated by XVMC (investigational implementation in PrecisePLAN [Elekta AB, Stockholm, Sweden]). Clinically relevant dose-volume parameters for target and lung tissue were compared and analyzed statistically. Results: The XVMC calculation agreed well with film measurements (<1% difference in lateral profile), whereas the deviation between PB calculation and film measurements was up to +15%. On analysis of 35 clinical cases, the mean dose, minimal dose and coverage dose value for 95% volume of gross tumor volume were 1.14 {+-} 1.72 Gy, 1.68 {+-} 1.47 Gy, and 1.24 {+-} 1.04 Gy lower by XVMC compared with PB, respectively (prescription dose, 30 Gy). The volume covered by the 9 Gy isodose of lung was 2.73% {+-} 3.12% higher when calculated by XVMC compared with PB. The largest differences were observed for small lesions circumferentially encompassed by lung tissue. Conclusions: Pencil beam dose calculation overestimates dose to the tumor and underestimates lung volumes exposed to a given dose consistently for 15-MV photons. The degree of difference between XVMC and PB is tumor size and location dependent. Therefore XVMC calculation is helpful to further optimize treatment planning.

  20. Microsecond acquisition of heterogeneous structure in the folding of a TIM barrel protein

    SciTech Connect (OSTI)

    Wu, Ying; Kondrashkina, Elena; Kayatekin, Can; Matthews, C. Robert; Bilsel, Osman (NWU); (UMASS, Amherst)

    2008-09-29

    The earliest kinetic folding events for ({beta}{alpha}){sub 8} barrels reflect the appearance of off-pathway intermediates. Continuous-flow microchannel mixing methods interfaced to small-angle x-ray scattering (SAXS), circular dichroism (CD), time-resolved Foerster resonant energy transfer (trFRET), and time-resolved fluorescence anisotropy (trFLAN) have been used to directly monitor global and specific dimensional properties of the partially folded state in the microsecond time range for a representative ({beta}{alpha}){sub 8} barrel protein. Within 150 {micro}s, the {alpha}-subunit of Trp synthase ({alpha}TS) experiences a global collapse and the partial formation of secondary structure. The time resolution of the folding reaction was enhanced with trFRET and trFLAN to show that, within 30 {micro}s, a distinct and autonomous partially collapsed structure has already formed in the N-terminal and central regions but not in the C-terminal region. A distance distribution analysis of the trFRET data confirmed the presence of a heterogeneous ensemble that persists for several hundreds of microseconds. Ready access to locally folded, stable substructures may be a hallmark of repeat-module proteins and the source of early kinetic traps in these very common motifs. Their folding free-energy landscapes should be elaborated to capture this source of frustration.

  1. FY 2012 Real Property Deferred, Actual, and Required Maintenance Reporting

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

    Requirement | Department of Energy Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2012 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2012 DARM Transmittal Letter and Attachment Final.pdf (406.93 KB) More Documents & Publications FY 2013 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement Real Property Maintenance Reporting Requirement Memorandum (July 13, 2010)

  2. ,"Calif--Coastal Region Onshore Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Calif--Coastal Region Onshore Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  3. ,"Calif--San Joaquin Basin Onshore Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)"

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

    Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Calif--San Joaquin Basin Onshore Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  4. ,"Calif--San Joaquin Basin Onshore Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Calif--San Joaquin Basin Onshore Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  5. ,"California (with State Offshore) Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California (with State Offshore) Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  6. ,"California (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  7. ,"California - Los Angeles Basin Onshore Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California - Los Angeles Basin Onshore Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  8. ,"California - San Joaquin Basin Onshore Crude Oil + Lease Condensate Proved Reserves (Million Barrels)"

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

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California - San Joaquin Basin Onshore Crude Oil + Lease Condensate Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  9. ,"Federal Offshore--California Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

    Liquids Lease Condensate, Proved Reserves (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--California Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  10. ,"Federal Offshore--California Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--California Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  11. ,"Federal Offshore--Texas Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

    Plant Liquids, Expected Future Production (Million Barrels)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Texas Natural Gas Plant Liquids, Expected Future Production (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  12. Detailed Surface Analysis Of Incremental Centrifugal Barrel Polishing (CBP) Of Single-Crystal Niobium Samples

    SciTech Connect (OSTI)

    Palczewski, Ari D.; Hui Tian; Trofimova, Olga; Reece, Charles E.

    2011-07-01

    We performed Centrifugal Barrel Polishing (CBP) on single crystal niobium samples/coupons housed in a stainless steel sample holder following the polishing recipe developed at Fermi Lab (FNAL) in 2011 \\cite{C. A. Cooper 2011}. Post CBP, the sample coupons were analyzed for surface roughness, crystal composition and structure, and particle contamination. Following the initial analysis each coupon was high pressure rinsed (HRP) and analyzed for the effectiveness of contamination removal. We were able to obtain the mirror like surface finish after the final stage of tumbling, although some defects and embedded particles remained. In addition, standard HPR appears to have little effect on removing embedded particles which remain after each tumbling step, although final polishing media removal was partially affected by standard/extended HPR.

  13. OPTIMIZING CENTRIFUGAL BARREL POLISHING FOR MIRROR FINISH SRF CAVITY AND RF TESTS AT JEFFERSON LAB

    SciTech Connect (OSTI)

    Ari Palczewski, Rongli Geng, Hui Tian

    2012-07-01

    We performed Centrifugal Barrel Polishing (CBP) on a 1.3 GHz fine grain TESLA single cell cavity and 1.5 GHz fine grain CEBAF high gradient superconducting radio frequency (SRF) single cell cavity following a modified recipe originally developed at Fermi National Accelerator Lab (FNAL). We were able to obtain a mirror like surface similar to that obtained at FNAL, while reducing the number of CBP steps and total processing time. This paper will discuss the change in surface and subsequent cavity performance post CBP, after a 800 C bake (no pre-bake chemistry) and minimal controlled electro-polishing (10 micron). In addition to Q vs. E{sub ACC} thermometry mapping with preheating characteristics and optical inspection of the cavity after CBP will also be shown.

  14. Table 5.17 Strategic Petroleum Reserve, 1977-2011 (Thousand Barrels, Except as Noted)

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

    7 Strategic Petroleum Reserve, 1977-2011 (Thousand Barrels, Except as Noted) Year Foreign Crude Oil Receipts Domestic Crude Oil Receipts Withdrawals End-of-Year Stocks Days of Petroleum Net Imports 4 Imported by SPR Imported by Others 1,2 Purchases Exchanges 2 Sales Exchanges Quantity Percent of Crude Oil 3 Stocks Percent of Total Petroleum Stocks 1977 7,540 0 370 [5] 0 0 0 7,455 2.1 0.6 1 1978 58,798 0 0 0 0 0 66,860 17.8 5.2 8 1979 24,434 0 4 0 0 0 91,191 21.2 6.8 11 1980 16,067 0 1,296 0 0 0

  15. Table 5.18 Crude Oil Domestic First Purchase Prices, 1949-2011 (Dollars per Barrel)

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

    8 Crude Oil Domestic First Purchase Prices, 1949-2011 (Dollars per Barrel) Year Alaska North Slope California Texas U.S. Average Nominal 1 Real 2 Nominal 1 Real 2 Nominal 1 Real 2 Nominal 1 Real 2 1949 – – – – NA NA NA NA 2.54 17.52 [R] 1950 – – – – NA NA NA NA 2.51 17.13 [R] 1951 – – – – NA NA NA NA 2.53 16.10 [R] 1952 – – – – NA NA NA NA 2.53 15.83 [R] 1953 – – – – NA NA NA NA 2.68 16.57 [R] 1954 – – – – NA NA NA NA 2.78 17.03 [R] 1955 – – – – NA NA NA NA 2.77 16.69

  16. Light yield of Kuraray SCSF-78MJ scintillating fibers for the Gluex barrel calorimeter

    SciTech Connect (OSTI)

    Beattie, T.D.; Fischer, A.P.; Krueger, S.T.; Lolos, G.J.; Papandreou, Z.; Plummer, E.L.; Semenov, A.Yu.; Semenova, I.A.; Sichello, L.M.; Teigro, L.A.; Smith, E S

    2014-09-01

    Over three quarters of a million 1-mm-diameter 4-m-long Kuraray double-clad SCSF-78MJ (blue-green) scintillating fibers have been used in the construction of the GlueX electromagnetic barrel calorimeter for the Hall D experimental program at Jefferson Lab. The quality of a random sample of 4,750 of these fibers was evaluated by exciting the fibers at their mid point using a 90Sr source in order to determine the light yield using a calibrated vacuum photomultiplier as the photosensor. A novel methodology was developed to extract the number of photoelectrons detected for measurements where individual photoelectron peaks are not discernible. The average number of photoelectrons from this sample of fibers was 9.17±0.6 at a source distance of 200 cm from the PMT.

  17. FY 2013 Real Property Deferred, Actual, and Required Maintenance Reporting

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

    Requirement | Department of Energy Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2013 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY 2013 DARM Transmittal Letter and Attachment Final.pdf (541.36 KB) More Documents & Publications FY 2012 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement FY_09_DM_RM_AM_Reporting_Memo_and_attachment_072009.pdf Real Property Maintenance Reporting Requirement

  18. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected...

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

    Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2008 and Projected 2009 through 2013 " ,"(Megawatts and 2008 ...

  19. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected...

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

    Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2009 and Projected 2010 through 2014 " ,"(Megawatts and 2009 ...

  20. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected...

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

    a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2006 and Projected 2007 through 2011 " ,"(Megawatts and 2006 ...

  1. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected...

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

    b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2007 and Projected 2008 through 2012 " ,"(Megawatts and 2007 ...

  2. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected...

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

    a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2007 and Projected 2008 through 2012 " ,"(Megawatts and 2007 ...

  3. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected...

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

    b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2006 and Projected 2007 through 2011 " ,"(Megawatts and 2006 ...

  4. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected...

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

    2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2009 and Projected 2010 through 2014 " ,"(Megawatts and 2009 ...

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

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

    a. Average Electricity Prices, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars, cents per kilowatt-hour in ""dollar year"" specific to each AEO)" ...

  6. Table 5.21 Crude Oil Refiner Acquisition Costs, 1968-2011 (Dollars per Barrel)

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

    1 Crude Oil Refiner Acquisition Costs, 1968-2011 (Dollars per Barrel) Year Domestic Imported Composite Nominal 1 Real 2 Nominal 1 Real 2 Nominal 1 Real 2 1968E 3.21 14.57 [R] 2.90 13.16 [R] 3.17 14.39 [R] 1969E 3.37 14.58 [R] 2.80 12.11 [R] 3.29 14.23 [R] 1970E 3.46 14.22 [R] 2.96 12.16 [R] 3.40 13.97 [R] 1971E 3.68 14.40 [R] 3.17 12.41 [R] 3.60 14.09 [R] 1972E 3.67 13.77 [R] 3.22 12.08 [R] 3.58 13.43 [R] 1973E 4.17 14.82 [R] 4.08 14.50 [R] 4.15 14.75 [R] 1974 7.18 23.40 [R] 12.52 40.80 [R] 9.07

  7. PNG`s Kutubu Project: Lessons in the first 100 million barrels

    SciTech Connect (OSTI)

    Magner, T.N.; McKay, W.I.

    1994-12-31

    The Kutubu Project was approved for development in December 1990. Since that time twenty-four new development wells have been drilled, field facilities and export systems were successfully completed and commissioned, and some 85 million barrels of light, sweet Kutubu crude oil have been produced and exported (through July 1994). At present the field produces approximately 120,000 BOPD from 27 vertical wells and two horizontal wells. Reservoir pressure maintenance is provided by gravity-stable re-injection of produced gas into 5 wells. By November 1994, cumulative production should be in excess of 100 MMSTB. In spite of all of the studies and analyses conducted since the initial oil discovery in 1986, considerable uncertainty existed over the expected performance of the Kutubu reservoirs prior to initial production. On the whole, the reservoirs have met or exceeded expectations to date. This is in part due the effective planning and implementation of a strategy to manage the Kutubu reservoirs. This reservoir management strategy combines an aggressive program of reservoir surveillance, data collection, computer simulation and continuous reassessment of previous assumptions.

  8. Table 16. Total Energy Consumption, Projected vs. Actual Projected

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

    6. Total Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 ...

  9. Table 9. Natural Gas Production, Projected vs. Actual

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

    Natural Gas Production, Projected vs. Actual" "Projected" " (trillion cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2...

  10. Table 10. Natural Gas Net Imports, Projected vs. Actual

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

    Natural Gas Net Imports, Projected vs. Actual" "Projected" " (trillion cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,...

  11. "Table 7b. Natural Gas Price, Electric Power Sector, Actual...

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

    b. Natural Gas Price, Electric Power Sector, Actual vs. Projected" "Projected Price in Nominal Dollars" " (nominal dollars per million Btu)" ,1993,1994,1995,1996,1997,1998,1999,200...

  12. Table 8. Total Natural Gas Consumption, Projected vs. Actual

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

    Actual Projected (trillion cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 19.87 20.21 20.64 20.99 ...

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

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

    b. Average Electricity Prices, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars, cents per kilowatt-hour)" ,1993,1994,1995,1996,1997,1998,1999,2000,200...

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

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

    b. Average Electricity Prices, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars, cents per kilowatt-hour) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 ...

  15. Production summary for extended barrel module fabrication at Argonne for the ATLAS tile calorimeter.

    SciTech Connect (OSTI)

    Guarino, V.; Hill, N.; Petereit, E.; Skrzecz, F.; Wood, K.; Proudfoot, J.; Anderson, S.; Caird, A.; Keyser, C.; Kocenko, L.; Matijas, Z.; Nephew, T.; Stanek, R.; Franchini, F.; High Energy Physics

    2007-11-14

    The Tile Calorimeter is one of the main hadronic calorimeters to be used in the ATLAS experiment at CERN [1,2]. It is a steel/scintillator sampling calorimeter which is built by stacking 64 segments in azimuth and 3 separate cylinders to provide a total structure whose length is approximately 12m and whose diameter is a little over 8.4m. It has a total weight of about 2630 metric tons. Important features of this calorimeter are: A minimum gap (1.5mm) between modules in azimuth; Pockets in the structure to hold the scintillator tiles; Recessed channels at the edges of the module into which the readout fibers will sit; and Holes in the structure through which a radioactive source will pass. The mechanical structure for one of the 3 calorimeter sections, the Extended Barrel (EBA) was constructed at Argonne. A schematic of the calorimeter sampling structure and the layout of one of the 64 segments, termed a module, are shown in figure 1. Each module comprises mechanically of a precision machined, structural girder to which 10 submodules are bolted. One of these submodules, the ITC, has a customized shape to accommodate services for other detector elements. Each submodule weighs 850Kg and the assembled mechanical structure of the module weighs approximately 9000Kg (a fully instrumented Extended Barrel modules weighs {approx}9600Kg). A crucial issue for the tile calorimeter assembly is the minimization of the un-instrumented gap between modules when they are stacked on top of each other during final assembly. The design goal was originally 1mm gap which was eventually relaxed to 1.5mm following a careful evaluation of all tolerances in the construction and assembly process as shown in figure 2 [3]. Submodules for this assembly were produced at 4 locations [4] using tooling and procedures which were largely identical [5]. An important issue was the height of each submodule on the stacking fixture on which they were fabricated as this defines the length along the girder

  16. Colorado Natural Gas Plant Liquids, Reserves Based Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Reserves Based Production (Million Barrels) Colorado Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 10 1980's 10 11 10 9 8 9 8 8 9 10 1990's 10 12 13 14 15 18 17 21 18 19 2000's 21 22 23 24 26 26 26 27 38 48 2010's 58 63 57 52 61 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015

  17. Kansas Natural Gas Plant Liquids, Reserves Based Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Reserves Based Production (Million Barrels) Kansas Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 29 1980's 26 24 14 17 20 20 19 19 18 18 1990's 17 26 27 27 29 29 31 24 28 30 2000's 28 26 25 22 22 19 18 18 18 16 2010's 16 16 15 11 12 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  18. Lower 48 States Natural Gas Plant Liquids, Reserves Based Production

    Gasoline and Diesel Fuel Update (EIA)

    (Million Barrels) Reserves Based Production (Million Barrels) Lower 48 States Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 579 1980's 572 580 564 568 597 580 566 569 572 549 1990's 556 577 599 608 608 616 655 655 631 649 2000's 688 655 657 593 627 597 615 637 654 701 2010's 734 773 854 920 1,107 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  19. Michigan Natural Gas Plant Liquids, Reserves Based Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Reserves Based Production (Million Barrels) Michigan Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 11 1980's 12 12 11 10 10 8 9 8 8 8 1990's 6 6 6 5 5 5 5 4 4 4 2000's 4 4 3 3 3 3 2 3 3 2 2010's 3 2 2 2 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

  20. Miscellaneous States Natural Gas Plant Liquids, Reserves Based Production

    Gasoline and Diesel Fuel Update (EIA)

    (Million Barrels) Reserves Based Production (Million Barrels) Miscellaneous States Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0 1980's 0 8 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 1 1 1 1 0 2010's 0 0 0 1 24 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release

  1. North Dakota Natural Gas Plant Liquids, Reserves Based Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Reserves Based Production (Million Barrels) North Dakota Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2 1980's 3 4 4 5 6 6 5 6 5 5 1990's 5 5 5 5 4 4 4 4 4 4 2000's 5 5 5 4 5 5 6 6 6 8 2010's 9 11 19 26 36 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

  2. Oklahoma Natural Gas Plant Liquids, Reserves Based Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Reserves Based Production (Million Barrels) Oklahoma Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 59 1980's 62 65 67 70 75 77 76 76 79 73 1990's 75 76 77 77 76 70 74 71 69 70 2000's 69 66 61 59 64 65 67 69 74 77 2010's 82 88 96 99 117 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  3. Utah and Wyoming Natural Gas Liquids Lease Condensate, Reserves Based

    Gasoline and Diesel Fuel Update (EIA)

    Production (Million Barrels) Liquids Lease Condensate, Reserves Based Production (Million Barrels) Utah and Wyoming Natural Gas Liquids Lease Condensate, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 4 1980's 5 11 8 20 26 31 31 28 25 23 1990's 16 17 15 14 14 9 8 8 8 14 2000's 7 11 11 10 10 12 13 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  4. West Virginia Natural Gas Plant Liquids, Reserves Based Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Reserves Based Production (Million Barrels) West Virginia Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 6 1980's 6 6 5 5 6 7 6 6 7 7 1990's 7 7 7 7 6 4 4 4 4 4 2000's 6 6 6 4 4 4 5 5 5 5 2010's 5 5 8 10 41 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

  5. Dose Rate Analysis Capability for Actual Spent Fuel Transportation Cask Contents

    SciTech Connect (OSTI)

    Radulescu, Georgeta; Lefebvre, Robert A; Peplow, Douglas E.; Williams, Mark L; Scaglione, John M

    2014-01-01

    The approved contents for a U.S. Nuclear Regulatory Commission (NRC) licensed spent nuclear fuel casks are typically based on bounding used nuclear fuel (UNF) characteristics. However, the contents of the UNF canisters currently in storage at independent spent fuel storage installations are considerably heterogeneous in terms of fuel assembly burnup, initial enrichment, decay time, cladding integrity, etc. Used Nuclear Fuel Storage, Transportation & Disposal Analysis Resource and Data System (UNF ST&DARDS) is an integrated data and analysis system that facilitates automated cask-specific safety analyses based on actual characteristics of the as-loaded UNF. The UNF-ST&DARDS analysis capabilities have been recently expanded to include dose rate analysis of as-loaded transportation packages. Realistic dose rate values based on actual canister contents may be used in place of bounding dose rate values to support development of repackaging operations procedures, evaluation of radiation-related transportation risks, and communication with stakeholders. This paper describes the UNF-ST&DARDS dose rate analysis methodology based on actual UNF canister contents and presents sample dose rate calculation results.

  6. FRACTIONAL CRYSTALLIZATION FLOWSHEET TESTS WITH ACTUAL TANK WASTE

    SciTech Connect (OSTI)

    HERTING, D.L.

    2007-04-13

    Laboratory-scale flowsheet tests of the fractional crystallization process were conducted with actual tank waste samples in a hot cell at the 2224 Laboratory. The process is designed to separate medium-curie liquid waste into a low-curie stream for feeding to supplemental treatment and a high-curie stream for double-shell tank storage. Separations criteria (for Cesium-137 sulfate and sodium) were exceeded in all three of the flowsheet tests that were performed.

  7. FRACTIONAL CRYSTALLIZATION FLOWSHEET TESTS WITH ACTUAL TANK WASTE

    SciTech Connect (OSTI)

    HERTING, D.L.

    2006-10-18

    Laboratory-scale flowsheet tests of the fractional crystallization process were conducted with actual tank waste samples in a hot cell at the 222-S Laboratory. The process is designed to separate medium-curie liquid waste into a low-curie stream for feeding to supplemental treatment and a high-curie stream for double-shell tank storage. Separations criteria (for Cs-137 sulfate, and sodium) were exceeded in all three of the flowsheet tests that were performed.

  8. Calif--Los Angeles Basin Onshore Natural Gas Plant Liquids, Reserves Based

    Gasoline and Diesel Fuel Update (EIA)

    Production (Million Barrels) Plant Liquids, Reserves Based Production (Million Barrels) Calif--Los Angeles Basin Onshore Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1 1980's 1 1 1 1 1 1 1 1 1 0 1990's 0 0 1 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  9. Calif--San Joaquin Basin Onshore Natural Gas Plant Liquids, Reserves Based

    Gasoline and Diesel Fuel Update (EIA)

    Production (Million Barrels) Plant Liquids, Reserves Based Production (Million Barrels) Calif--San Joaquin Basin Onshore Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 6 1980's 4 4 9 9 9 10 10 10 9 8 1990's 8 7 8 8 7 8 8 7 6 7 2000's 7 7 9 9 9 10 10 10 10 10 2010's 9 9 9 10 9 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  10. U.S. Natural Gas Liquids Lease Condensate, Reserves Based Production

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

    (Million Barrels) Based Production (Million Barrels) U.S. Natural Gas Liquids Lease Condensate, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 147 1980's 159 161 157 157 179 168 169 162 162 165 1990's 158 153 147 153 157 145 162 174 178 199 2000's 208 215 207 191 182 174 182 181 173 178 2010's 224 231 274 311 326 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  11. Table 12. Total Coal Consumption, Projected vs. Actual

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

    Total Coal Consumption, Projected vs. Actual" "Projected" " (million short tons)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",920,928,933,938,943,948,953,958,962,967,978,990,987,992,1006,1035,1061,1079 "AEO 1995",,935,940,941,947,948,951,954,958,963,971,984,992,996,1002,1013,1025,1039 "AEO

  12. Table 12. Total Coal Consumption, Projected vs. Actual Projected

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

    Total Coal Consumption, Projected vs. Actual Projected (million short tons) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 920 928 933 938 943 948 953 958 962 967 978 990 987 992 1006 1035 1061 1079 AEO 1995 935 940 941 947 948 951 954 958 963 971 984 992 996 1002 1013 1025 1039 AEO 1996 937 942 954 962 983 990 1004 1017 1027 1033 1046 1067 1070 1071 1074 1082 1087 1094 1103 AEO 1997 948 970 987 1003 1017 1020 1025 1034 1041

  13. Table 13. Coal Production, Projected vs. Actual Projected

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

    Coal Production, Projected vs. Actual Projected (million short tons) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 999 1021 1041 1051 1056 1066 1073 1081 1087 1098 1107 1122 1121 1128 1143 1173 1201 1223 AEO 1995 1006 1010 1011 1016 1017 1021 1027 1033 1040 1051 1066 1076 1083 1090 1108 1122 1137 AEO 1996 1037 1044 1041 1045 1061 1070 1086 1100 1112 1121 1135 1156 1161 1167 1173 1184 1190 1203 1215 AEO 1997 1028 1052 1072 1088

  14. Table 15. Total Electricity Sales, Projected vs. Actual

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

    Total Electricity Sales, Projected vs. Actual" "Projected" " (billion kilowatt-hours)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",2843,2891,2928,2962,3004,3039,3071,3112,3148,3185,3228,3263,3298,3332,3371,3406,3433,3469 "AEO 1995",,2951,2967,2983,3026,3058,3085,3108,3134,3166,3204,3248,3285,3321,3357,3396,3433,3475 "AEO

  15. Table 15. Total Electricity Sales, Projected vs. Actual Projected

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

    Total Electricity Sales, Projected vs. Actual Projected (billion kilowatt-hours) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 2843 2891 2928 2962 3004 3039 3071 3112 3148 3185 3228 3263 3298 3332 3371 3406 3433 3469 AEO 1995 2951 2967 2983 3026 3058 3085 3108 3134 3166 3204 3248 3285 3321 3357 3396 3433 3475 AEO 1996 2973 2998 3039 3074 3106 3137 3173 3215 3262 3317 3363 3409 3454 3505 3553 3604 3660 3722 3775 AEO 1997 3075

  16. Actual and Estimated Energy Savings Comparison for Deep Energy Retrofits in the Pacific Northwest

    SciTech Connect (OSTI)

    Blanchard, Jeremy; Widder, Sarah H.; Giever, Elisabeth L.; Baechler, Michael C.

    2012-10-01

    Seven homes from the Pacific Northwest were selected to evaluate the differences between estimated and actual energy savings achieved from deep energy retrofits. The energy savings resulting from these retrofits were estimated, using energy modeling software, to save at least 30% on a whole-house basis. The modeled pre-retrofit energy use was trued against monthly utility bills. After the retrofits were completed, each of the homes was extensively monitored, with the exception of one home which was monitored pre-retrofit. This work is being conducted by Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy Building Technologies Program as part of the Building America Program. This work found many discrepancies between actual and estimated energy savings and identified the potential causes for the discrepancies. The differences between actual energy use and modeled energy use also suggest improvements to improve model accuracy. The difference between monthly whole-house actual and estimated energy savings ranged from 75% more energy saved than predicted by the model to 16% less energy saved for all the monitored homes. Similarly, the annual energy savings difference was between 36% and -14%, which was estimated based on existing monitored savings because an entire year of data is not available. Thus, on average, for all six monitored homes the actual energy use is consistently less than estimates, indicating home owners are saving more energy than estimated. The average estimated savings for the eight month monitoring period is 43%, compared to an estimated savings average of 31%. Though this average difference is only 12%, the range of inaccuracies found for specific end-uses is far greater and are the values used to directly estimate energy savings from specific retrofits. Specifically, the monthly post-retrofit energy use differences for specific end-uses (i.e., heating, cooling, hot water, appliances, etc.) ranged from 131% under

  17. Table 16. Total Energy Consumption, Projected vs. Actual

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

    Total Energy Consumption, Projected vs. Actual" "Projected" " (quadrillion Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",88.02,89.53,90.72,91.73,92.71,93.61,94.56,95.73,96.69,97.69,98.89,100,100.79,101.7,102.7,103.6,104.3,105.23 "AEO 1995",,89.21,89.98,90.57,91.91,92.98,93.84,94.61,95.3,96.19,97.18,98.38,99.37,100.3,101.2,102.1,102.9,103.88 "AEO

  18. Table 8. Total Natural Gas Consumption, Projected vs. Actual

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

    Total Natural Gas Consumption, Projected vs. Actual" "Projected" " (trillion cubic feet)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",19.87,20.21,20.64,20.99,21.2,21.42,21.6,21.99,22.37,22.63,22.95,23.22,23.58,23.82,24.09,24.13,24.02,24.14 "AEO 1995",,20.82,20.66,20.85,21.21,21.65,21.95,22.12,22.25,22.43,22.62,22.87,23.08,23.36,23.61,24.08,24.23,24.59 "AEO

  19. Method and apparatus for distinguishing actual sparse events from sparse event false alarms

    DOE Patents [OSTI]

    Spalding, Richard E.; Grotbeck, Carter L.

    2000-01-01

    Remote sensing method and apparatus wherein sparse optical events are distinguished from false events. "Ghost" images of actual optical phenomena are generated using an optical beam splitter and optics configured to direct split beams to a single sensor or segmented sensor. True optical signals are distinguished from false signals or noise based on whether the ghost image is presence or absent. The invention obviates the need for dual sensor systems to effect a false target detection capability, thus significantly reducing system complexity and cost.

  20. Table 10. Natural Gas Net Imports, Projected vs. Actual Projected

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

    Natural Gas Net Imports, Projected vs. Actual Projected (trillion cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 2.02 2.40 2.66 2.74 2.81 2.85 2.89 2.93 2.95 2.97 3.00 3.16 3.31 3.50 3.57 3.63 3.74 3.85 AEO 1995 2.46 2.54 2.80 2.87 2.87 2.89 2.90 2.90 2.92 2.95 2.97 3.00 3.03 3.19 3.35 3.51 3.60 AEO 1996 2.56 2.75 2.85 2.88 2.93 2.98 3.02 3.06 3.07 3.09 3.12 3.17 3.23 3.29 3.37 3.46 3.56 3.68 3.79 AEO 1997 2.82 2.96

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

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

    a. Average Electricity Prices, Projected vs. Actual Projected Price in Constant Dollars (constant dollars, cents per kilowatt-hour in "dollar year" specific to each AEO) AEO $ Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 1992 6.80 6.80 6.90 6.90 6.90 6.90 7.00 7.00 7.10 7.10 7.20 7.20 7.20 7.30 7.30 7.40 7.50 7.60 AEO 1995 1993 6.80 6.80 6.70 6.70 6.70 6.70 6.70 6.80 6.80 6.90 6.90 6.90 7.00 7.00 7.10 7.10 7.20

  2. Table 18. Total Delivered Commercial Energy Consumption, Projected vs. Actual

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

    Total Delivered Commercial Energy Consumption, Projected vs. Actual Projected (quadrillion Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 6.8 6.9 6.9 7.0 7.1 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.4 7.5 7.5 7.5 7.5 7.6 AEO 1995 6.9 6.9 7.0 7.0 7.0 7.1 7.1 7.1 7.1 7.1 7.2 7.2 7.2 7.2 7.3 7.3 7.3 AEO 1996 7.1 7.2 7.2 7.3 7.3 7.4 7.4 7.5 7.6 7.6 7.7 7.7 7.8 7.9 8.0 8.0 8.1 8.2 8.2 AEO 1997 7.4 7.4 7.4 7.5 7.5 7.6 7.7 7.7 7.8 7.8 7.9 7.9

  3. Table 22. Energy Intensity, Projected vs. Actual Projected

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

    Energy Intensity, Projected vs. Actual Projected (quadrillion Btu / $Billion 2005 Chained GDP) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 10.9 10.7 10.6 10.5 10.3 10.2 10.1 9.9 9.8 9.7 9.6 9.5 9.4 9.3 9.2 9.1 9.0 8.9 AEO 1995 10.5 10.4 10.3 10.1 10.0 9.8 9.7 9.6 9.4 9.3 9.2 9.1 9.0 8.9 8.9 8.8 8.7 AEO 1996 10.4 10.3 10.1 10.0 9.8 9.7 9.5 9.4 9.3 9.2 9.1 9.0 8.9 8.9 8.8 8.7 8.7 8.6 8.5 AEO 1997 10.0 9.9 9.8 9.7 9.6 9.5 9.4

  4. Table 9. Natural Gas Production, Projected vs. Actual Projected

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

    Natural Gas Production, Projected vs. Actual Projected (trillion cubic feet) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 17.71 17.68 17.84 18.12 18.25 18.43 18.58 18.93 19.28 19.51 19.80 19.92 20.13 20.18 20.38 20.35 20.16 20.19 AEO 1995 18.28 17.98 17.92 18.21 18.63 18.92 19.08 19.20 19.36 19.52 19.75 19.94 20.17 20.28 20.60 20.59 20.88 AEO 1996 18.90 19.15 19.52 19.59 19.59 19.65 19.73 19.97 20.36 20.82 21.25 21.37 21.68

  5. R&D progress in SRF surface preparation with centrifugal barrel polishing (cbp) for both Nb and Cu

    SciTech Connect (OSTI)

    Palczewski, Ari

    2013-09-01

    Centrifugal Barrel polishing (CBP) is becoming a common R&D tool for SRF cavity preparation around the world. During the CBP process a cylindrically symmetric SRF cavity is filled with relatively cheap and environmentally friendly abrasive and sealed. The cavity is then spun around a cylindrically symmetric axis at high speeds uniformly conditioning the inner surface. This uniformity is especially relevant for SRF application because many times a single manufacturing defects limits cavity?s performance well below it?s theoretical limit. In addition CBP has created surfaces with roughness?s on the order of 10?s of nm which create a unique surface for wet chemistry or thin film deposition. CBP is now being utilized at Jefferson Laboratory, Fermi Laboratory and Cornell University in the US, Deutsches Elektronen-Synchrotron in Germany, Laboratori Nazionali di Legnaro in Italy, and Raja Ramanna Centre for Advanced Technology in India. In this talk we will present current CBP research from each lab including equipment, baseline recipes, cavity removal rates and subsequent cryogenic cavity tests on niobium as well as copper cavities where available.

  6. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected...

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

    3 and Projected 2004 through 2008 " ,"(Megawatts and 2003 Base Year)",,,," " ,"Summer Noncoincident Peak Load",,"Contiguous U.S. ","Eastern Power Grid",,,..."Texas Power ...

  7. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected...

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

    4 and Projected 2005 through 2009 " ,"(Megawatts and 2004 Base Year)",,,," " ,"Summer Noncoincident Peak Load",,"Contiguous U.S. ","Eastern Power Grid",,,..."Texas Power ...

  8. Structure of Rhodococcus equi virulence-associated protein B (VapB) reveals an eight-stranded antiparallel ?-barrel consisting of two Greek-key motifs

    SciTech Connect (OSTI)

    Geerds, Christina; Wohlmann, Jens; Haas, Albert; Niemann, Hartmut H.

    2014-06-18

    The structure of VapB, a member of the Vap protein family that is involved in virulence of the bacterial pathogen R. equi, was determined by SAD phasing and reveals an eight-stranded antiparallel ?-barrel similar to avidin, suggestive of a binding function. Made up of two Greek-key motifs, the topology of VapB is unusual or even unique. Members of the virulence-associated protein (Vap) family from the pathogen Rhodococcus equi regulate virulence in an unknown manner. They do not share recognizable sequence homology with any protein of known structure. VapB and VapA are normally associated with isolates from pigs and horses, respectively. To contribute to a molecular understanding of Vap function, the crystal structure of a protease-resistant VapB fragment was determined at 1.4 resolution. The structure was solved by SAD phasing employing the anomalous signal of one endogenous S atom and two bound Co ions with low occupancy. VapB is an eight-stranded antiparallel ?-barrel with a single helix. Structural similarity to avidins suggests a potential binding function. Unlike other eight- or ten-stranded ?-barrels found in avidins, bacterial outer membrane proteins, fatty-acid-binding proteins and lysozyme inhibitors, Vaps do not have a next-neighbour arrangement but consist of two Greek-key motifs with strand order 41238567, suggesting an unusual or even unique topology.

  9. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected...

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

    3 and Projected 2004 through 2008 " ,"(Megawatts and 2003 Base Year)" ,"Winter Noncoincident Peak Load",,"Contiguous U.S. ","Eastern Power Grid",,,..."Texas Power Grid","Western ...

  10. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected...

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

    4 and Projected 2005 through 2009 " ,"(Megawatts and 2004 Base Year)" ,"Winter Noncoincident Peak Load",,"Contiguous U.S. ","Eastern Power Grid",,,..."Texas Power Grid","Western ...

  11. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    Jaunary 2010" ,"Next Update: October 2010" ,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2008 and Projected ...

  12. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    . Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2009 and Projected 2010 through 2014" ,"(Thousands of Megawatthours and ...

  13. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2006 and Projected 2008 through 2012 " ,"(Thousands of Megawatthours and ...

  14. ,"Table 1. Net Energy For Load, Actual and Projected by North...

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

    1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2006 and Projected 2007 through 2011 " ,"(Thousands of Megawatthours and ...

  15. Actual Scale MOX Powder Mixing Test for MOX Fuel Fabrication Plant in Japan

    SciTech Connect (OSTI)

    Osaka, Shuichi; Kurita, Ichiro; Deguchi, Morimoto; Ito, Masanori; Goto, Masakazu

    2007-07-01

    Japan Nuclear Fuel Ltd. (hereafter, JNFL) promotes a program of constructing a MOX fuel fabrication plant (hereafter, J-MOX) to fabricate MOX fuels to be loaded in domestic light water reactors. Since Japanese fiscal year (hereafter, JFY) 1999, JNFL, to establish the technology for a smooth start-up and the stable operation of J-MOX, has executed an evaluation test for technology to be adopted at J-MOX. JNFL, based on a consideration that J-MOX fuel fabrication comes commercial scale production, decided an introduction of MIMAS technology into J-MOX main process, from powder mixing through pellet sintering, well recognized as mostly important to achieve good quality product of MOX fuel, since it achieves good results in both fuel production and actual reactor irradiation in Europe, but there is one difference that JNFL is going to use Japanese typical plutonium and uranium mixed oxide powder converted with the micro-wave heating direct de-nitration technology (hereafter, MH-MOX) but normal PuO{sub 2} of European MOX fuel fabricators. Therefore, in order to evaluate the suitability of the MH-MOX powder for the MIMAS process, JNFL manufactured small scale test equipment, and implemented a powder mixing evaluation test up until JFY 2003. As a result, the suitability of the MH-MOX powder for the MIMAS process was positively evaluated and confirmed It was followed by a five-years test named an 'actual test' from JFY 2003 to JFY 2007, which aims at demonstrating good operation and maintenance of process equipment as well as obtaining good quality of MOX fuel pellets. (authors)

  16. Arkansas Natural Gas Plant Liquids, Reserves Based Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Reserves Based Production (Million Barrels) Arkansas Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1 1980's 1 1 1 1 1 1 1 1 1 1 1990's 1 0 0 0 0 0 0 0 0 0 2000's 0 1 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  17. Florida Natural Gas Plant Liquids, Reserves Based Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Reserves Based Production (Million Barrels) Florida Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 10 1980's 10 5 4 3 2 2 1 1 1 1990's 1 1 1 1 1 1 1 1 1 1 2000's 1 1 1 1 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  18. Kentucky Natural Gas Plant Liquids, Reserves Based Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Reserves Based Production (Million Barrels) Kentucky Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3 1980's 3 2 3 2 2 2 2 1 2 1 1990's 1 2 2 2 3 3 3 3 3 3 2000's 2 3 3 3 3 3 3 3 3 4 2010's 5 4 5 5 5 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  19. Montana Natural Gas Plant Liquids, Reserves Based Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Reserves Based Production (Million Barrels) Montana Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1 1980's 1 1 1 1 1 1 1 1 1 1 1990's 1 1 1 1 1 0 0 0 0 0 2000's 0 0 1 1 1 1 1 1 1 1 2010's 1 1 1 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  20. Actual Versus Estimated Utility Factor of a Large Set of Privately Owned Chevrolet Volts

    SciTech Connect (OSTI)

    John Smart; Thomas Bradley; Stephen Schey

    2014-04-01

    In order to determine the overall fuel economy of a plug-in hybrid electric vehicle (PHEV), the amount of operation in charge depleting (CD) versus charge sustaining modes must be determined. Mode of operation is predominantly dependent on customer usage of the vehicle and is therefore highly variable. The utility factor (UF) concept was developed to quantify the distance a group of vehicles has traveled or may travel in CD mode. SAE J2841 presents a UF calculation method based on data collected from travel surveys of conventional vehicles. UF estimates have been used in a variety of areas, including the calculation of window sticker fuel economy, policy decisions, and vehicle design determination. The EV Project, a plug-in electric vehicle charging infrastructure demonstration being conducted across the United States, provides the opportunity to determine the real-world UF of a large group of privately owned Chevrolet Volt extended range electric vehicles. Using data collected from Volts enrolled in The EV Project, this paper compares the real-world UF of two groups of Chevrolet Volts to estimated UF's based on J2841. The actual observed fleet utility factors (FUF) for the MY2011/2012 and MY2013 Volt groups studied were observed to be 72% and 74%, respectively. Using the EPA CD ranges, the method prescribed by J2841 estimates a FUF of 65% and 68% for the MY2011/2012 and MY2013 Volt groups, respectively. Volt drivers achieved higher percentages of distance traveled in EV mode for two reasons. First, they had fewer long-distance travel days than drivers in the national travel survey referenced by J2841. Second, they charged more frequently than the J2841 assumption of once per day - drivers of Volts in this study averaged over 1.4 charging events per day. Although actual CD range varied widely as driving conditions varied, the average CD ranges for the two Volt groups studied matched the EPA CD range estimates, so CD range variation did not affect FUF results.

  1. BENCH-SCALE STEAM REFORMING OF ACTUAL TANK 48H WASTE

    SciTech Connect (OSTI)

    Burket, P; Gene Daniel, G; Charles Nash, C; Carol Jantzen, C; Michael Williams, M

    2008-09-25

    Fluidized Bed Steam Reforming (FBSR) has been demonstrated to be a viable technology to remove >99% of the organics from Tank 48H simulant, to remove >99% of the nitrate/nitrite from Tank 48H simulant, and to form a solid product that is primarily carbonate based. The technology was demonstrated in October of 2006 in the Engineering Scale Test Demonstration Fluidized Bed Steam Reformer1 (ESTD FBSR) at the Hazen Research Inc. (HRI) facility in Golden, CO. The purpose of the Bench-scale Steam Reformer (BSR) testing was to demonstrate that the same reactions occur and the same product is formed when steam reforming actual radioactive Tank 48H waste. The approach used in the current study was to test the BSR with the same Tank 48H simulant and same Erwin coal as was used at the ESTD FBSR under the same operating conditions. This comparison would allow verification that the same chemical reactions occur in both the BSR and ESTD FBSR. Then, actual radioactive Tank 48H material would be steam reformed in the BSR to verify that the actual tank 48H sample reacts the same way chemically as the simulant Tank 48H material. The conclusions from the BSR study and comparison to the ESTD FBSR are the following: (1) A Bench-scale Steam Reforming (BSR) unit was successfully designed and built that: (a) Emulated the chemistry of the ESTD FBSR Denitration Mineralization Reformer (DMR) and Carbon Reduction Reformer (CRR) known collectively as the dual reformer flowsheet. (b) Measured and controlled the off-gas stream. (c) Processed real (radioactive) Tank 48H waste. (d) Met the standards and specifications for radiological testing in the Savannah River National Laboratory (SRNL) Shielded Cells Facility (SCF). (2) Three runs with radioactive Tank 48H material were performed. (3) The Tetraphenylborate (TPB) was destroyed to > 99% for all radioactive Bench-scale tests. (4) The feed nitrate/nitrite was destroyed to >99% for all radioactive BSR tests the same as the ESTD FBSR. (5) The

  2. Exploration of material removal rate of srf elliptical cavities as a function of media type and cavity shape on niobium and copper using centrifugal barrel polishing (cbp)

    SciTech Connect (OSTI)

    Palczewski, Ari; Ciovati, Gianluigi; Li, Yongming; Geng, Rongli

    2013-09-01

    Centrifugal barrel polishing (cbp) for SRF application is becoming more wide spread as the technique for cavity surface preparation. CBP is now being used in some form at SRF laboratories around the world including in the US, Europe and Asia. Before the process can become as mature as wet chemistry like eletro-polishing (EP) and buffered chemical polishing (BCP) there are many questions which remain unanswered. One of these topics includes the uniformity of removal as a function of cavity shape and material type. In this presentation we show CBP removal rates for various media types on 1.3 GHz TESLA and 1.5 GHz CEBAF large/fine grain niobium cavities, and 1.3GHz low surface field copper cavity. The data will also include calculated RF frequency shift modeling non-uniform removal as a function of cavity position and comparing them with CBP results.

  3. ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Council Region, "

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

    3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Council Region, " ,"2005 and Projected 2006 through 2010 " ,"(Megawatts and 2005 Base Year)" ,"Projected Monthly Base","Year","Contiguous U.S.","Eastern Power Grid",,,,,,"Texas Power Grid","Western Power Grid"

  4. Technique of estimation of actual strength of a gas pipeline section at its deformation in landslide action zone

    SciTech Connect (OSTI)

    Tcherni, V.P.

    1996-12-31

    The technique is given which permits determination of stress and strain state (SSS) and estimation of actual strength of a section of a buried main gas pipeline (GP) in the case of its deformation in a landslide action zone. The technique is based on the use of three-dimensional coordinates of axial points of the deformed GP section. These coordinates are received by a full-scale survey. The deformed axis of the surveyed GP section is described by the polynomial. The unknown coefficients of the polynomial can be determined from the boundary conditions at points of connection with contiguous undeformed sections as well as by use of minimization methods in mathematical processing of full-scale survey results. The resulting form of GP section`s axis allows one to determine curvatures and, accordingly, bending moments along all the length of the considered section. The influence of soil resistance to longitudinal displacements of a pipeline is used to determine longitudinal forces. Resulting values of bending moments and axial forces as well as the known value of internal pressure are used to analyze all necessary components of an actual SSS of pipeline section and to estimate its strength by elastic analysis.

  5. Table 11b. Coal Prices to Electric Generating Plants, Projected vs. Actual

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

    b. Coal Prices to Electric Generating Plants, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars per million Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO

  6. steoxxxx1

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

    ... Assuming that our crude oil price path holds, we project that retail motor Figure 7. ... Million Barrels Actual Base Case Forecast NOTE: Colored band is normal stock range 5 ...

  7. Investigation of EMIC wave scattering as the cause for the BARREL 17 January 2013 relativistic electron precipitation event: A quantitative comparison of simulation with observations

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

    Li, Zan; Millan, Robyn M.; Hudson, Mary K.; Woodger, Leslie A.; Smith, David M.; Chen, Yue; Friedel, Reiner; Rodriguez, Juan V.; Engebretson, Mark J.; Goldstein, Jerry; et al

    2014-12-23

    Electromagnetic ion cyclotron (EMIC) waves were observed at multiple observatory locations for several hours on 17 January 2013. During the wave activity period, a duskside relativistic electron precipitation (REP) event was observed by one of the Balloon Array for Radiation belt Relativistic Electron Losses (BARREL) balloons and was magnetically mapped close to Geostationary Operational Environmental Satellite (GOES) 13. We simulate the relativistic electron pitch angle diffusion caused by gyroresonant interactions with EMIC waves using wave and particle data measured by multiple instruments on board GOES 13 and the Van Allen Probes. We show that the count rate, the energy distribution,more » and the time variation of the simulated precipitation all agree very well with the balloon observations, suggesting that EMIC wave scattering was likely the cause for the precipitation event. The event reported here is the first balloon REP event with closely conjugate EMIC wave observations, and our study employs the most detailed quantitative analysis on the link of EMIC waves with observed REP to date.« less

  8. Investigation of EMIC wave scattering as the cause for the BARREL 17 January 2013 relativistic electron precipitation event: A quantitative comparison of simulation with observations

    SciTech Connect (OSTI)

    Li, Zan; Millan, Robyn M.; Hudson, Mary K.; Woodger, Leslie A.; Smith, David M.; Chen, Yue; Friedel, Reiner; Rodriguez, Juan V.; Engebretson, Mark J.; Goldstein, Jerry; Fennell, Joseph F.; Spence, Harlan E.

    2014-12-23

    Electromagnetic ion cyclotron (EMIC) waves were observed at multiple observatory locations for several hours on 17 January 2013. During the wave activity period, a duskside relativistic electron precipitation (REP) event was observed by one of the Balloon Array for Radiation belt Relativistic Electron Losses (BARREL) balloons and was magnetically mapped close to Geostationary Operational Environmental Satellite (GOES) 13. We simulate the relativistic electron pitch angle diffusion caused by gyroresonant interactions with EMIC waves using wave and particle data measured by multiple instruments on board GOES 13 and the Van Allen Probes. We show that the count rate, the energy distribution, and the time variation of the simulated precipitation all agree very well with the balloon observations, suggesting that EMIC wave scattering was likely the cause for the precipitation event. The event reported here is the first balloon REP event with closely conjugate EMIC wave observations, and our study employs the most detailed quantitative analysis on the link of EMIC waves with observed REP to date.

  9. NEW GUN CAPABILITY WITH INTERCHANGABLE BARRELS TO INVESTIGATE LOW VELOCITY IMPACT REGIMES AT THE LAWRENCE LIVERMORE NATIONAL LABORATORY HIGH EXPLOSIVES APPLICATIONS FACILITY

    SciTech Connect (OSTI)

    Vandersall, K S; Behn, A; Gresshoff, M; Jr., L F; Chiao, P I

    2009-09-16

    A new gas gun capability is being activated at Lawrence Livermore National Laboratories located in the High Explosives Applications Facility (HEAF). The single stage light gas (dry air, nitrogen, or helium) gun has interchangeable barrels ranging from 25.4 mm to 76.2 mm in diameter with 1.8 meters in length and is being fabricated by Physics Applications, Inc. Because it is being used for safety studies involving explosives, the gun is planned for operation inside a large enclosed firing tank, with typical velocities planned in the range of 10-300 m/s. Three applications planned for this gun include: low velocity impact of detonator or detonator/booster assemblies with various projectile shapes, the Steven Impact test that involves impact initiation of a cased explosive target, and the Taylor impact test using a cylindrical explosive sample impacted onto a rigid anvil for fracture studies of energetic materials. A highlight of the gun features, outline on work in progress for implementing this capability, and discussion of the planned areas of research will be included.

  10. Reaction chemistry of nitrogen species in hydrothermal systems: Simple reactions, waste simulants, and actual wastes

    SciTech Connect (OSTI)

    Dell`Orco, P.; Luan, L.; Proesmans, P.; Wilmanns, E.

    1995-02-01

    Results are presented from hydrothermal reaction systems containing organic components, nitrogen components, and an oxidant. Reaction chemistry observed in simple systems and in simple waste simulants is used to develop a model which presents global nitrogen chemistry in these reactive systems. The global reaction path suggested is then compared with results obtained for the treatment of an actual waste stream containing only C-N-0-H species.

  11. Treatability studies of actual listed waste sludges from the Oak Ridge Reservation (ORR)

    SciTech Connect (OSTI)

    Jantzen, C.M.; Peeler, D.K.; Gilliam, T.M.; Bleier, A.; Spence, R.D.

    1996-05-06

    Oak Ridge National Laboratory (ORNL) and Savannah River Technology Center (SRTC) are investigating vitrification for various low-level and mixed wastes on the Oak Ridge Reservation (ORR). Treatability studies have included surrogate waste formulations at the laboratory-, pilot-, and field-scales and actual waste testing at the laboratory- and pilot-scales. The initial waste to be processing through SRTC`s Transportable Vitrification System (TVS) is the K-1407-B and K-1407-C (B/C) Pond sludge waste which is a RCRA F-listed waste. The B/C ponds at the ORR K-25 site were used as holding and settling ponds for various waste water treatment streams. Laboratory-, pilot-, and field- scale ``proof-of-principle`` demonstrations are providing needed operating parameters for the planned field-scale demonstration with actual B/C Pond sludge waste at ORR. This report discusses the applied systems approach to optimize glass compositions for this particular waste stream through laboratory-, pilot-, and field-scale studies with surrogate and actual B/C waste. These glass compositions will maximize glass durability and waste loading while optimizing melt properties which affect melter operation, such as melt viscosity and melter refractory corrosion. Maximum waste loadings minimize storage volume of the final waste form translating into considerable cost savings.

  12. Characterization, Leaching, and Filtration Testing for Tributyl Phosphate (TBP, Group 7) Actual Waste Sample Composites

    SciTech Connect (OSTI)

    Edwards, Matthew K.; Billing, Justin M.; Blanchard, David L.; Buck, Edgar C.; Casella, Amanda J.; Casella, Andrew M.; Crum, J. V.; Daniel, Richard C.; Draper, Kathryn E.; Fiskum, Sandra K.; Jagoda, Lynette K.; Jenson, Evan D.; Kozelisky, Anne E.; MacFarlan, Paul J.; Peterson, Reid A.; Shimskey, Rick W.; Snow, Lanee A.; Swoboda, Robert G.

    2009-03-09

    .A testing program evaluating actual tank waste was developed in response to Task 4 from the M-12 External Flowsheet Review Team (EFRT) issue response plan. The bulk water-insoluble solid wastes that are anticipated to be delivered to the Waste Treatment and Immobilization Plant (WTP) were identified according to type such that the actual waste testing could be targeted to the relevant categories. Eight broad waste groupings were defined. Samples available from the 222S archive were identified and obtained for testing. The actual waste-testing program included homogenizing the samples by group, characterizing the solids and aqueous phases, and performing parametric leaching tests. The tributyl phosphate sludge (TBP, Group 7) is the subject of this report. The Group 7 waste was anticipated to be high in phosphorus as well as aluminum in the form of gibbsite. Both are believed to exist in sufficient quantities in the Group 7 waste to address leaching behavior. Thus, the focus of the Group 7 testing was on the removal of both P and Al. The waste-type definition, archived sample conditions, homogenization activities, characterization (physical, chemical, radioisotope, and crystal habit), and caustic leaching behavior as functions of time, temperature, and hydroxide concentration are discussed in this report. Testing was conducted according to TP-RPP-WTP-467.

  13. Making appropriate comparisons of estimated and actual costs of reducing SO{sub 2} emissions under Title IV

    SciTech Connect (OSTI)

    Smith, A.E.

    1998-12-31

    A current sentiment within some parts of the environmental policy community is that market-based regulatory approaches such as emissions trading have proven so effective that actual costs will be only a small fraction of what ex ante cost estimation procedures would project. With this line of reasoning, some have dismissed available cost estimates for major proposed new regulations, such as the new PM and ozone NAAQS, as not meaningful for policy decisions. The most commonly used evidence in support of this position is the experience with SO{sub 2} reductions under Title IV of the 1990 Clean Air Act Amendments. In Title IV, a market for emissions allowances has been used to achieve reductions in sulfur dioxides (SO{sub 2}) to ameliorate acid rain. It is commonly asserted today that the cost of achieving the SO{sub 2} emissions reductions has been only one-tenth or less of what Title IV was originally expected to cost. This paper demonstrates that, to the contrary, actual costs for SO{sub 2} reductions remain roughly in line with original estimates associated with Title IV. Erroneous conclusions about Title IV`s costs are due to inappropriate comparisons of a variety of different measures that appear to be comparable only because they are all stated in dollars per ton. Program cost estimates include the total costs of a fully-implemented regulatory program. The very low costs of Title IV that are commonly cited today are neither directly reflective of a fully implemented Title IV, (which is still many years away) nor reflective of all the costs already incurred. Further, a careful review of history finds that the initial cost estimates that many cite were never associated with Title IV. Technically speaking, people are comparing the estimated control costs for the most-costly power plant associated with earlier acid rain regulatory proposals with prices from a market that do not directly reflect total costs.

  14. Actual versus predicted impacts of three ethanol plants on aquatic and terrestrial resources

    SciTech Connect (OSTI)

    Eddlemon, G.K.; Webb, J.W.; Hunsaker, D.B. Jr.; Miller, R.L.

    1993-03-15

    To help reduce US dependence on imported petroleum, Congress passed the Energy Security Act of 1980 (public Law 96-294). This legislation authorized the US Department of Energy (DOE) to promote expansion of the fuel alcohol industry through, among other measures, its Alcohol Fuels Loan Guarantee Program. Under this program, selected proposals for the conversion of plant biomass into fuel-grade ethanol would be granted loan guarantees. of 57 applications submitted for loan guarantees to build and operate ethanol fuel projects under this program, 11 were considered by DOE to have the greatest potential for satisfying DOE`s requirements and goals. In accordance with the National Environmental Policy Act (NEPA), DOE evaluated the potential impacts of proceeding with the Loan Guarantee Program in a programmatic environmental assessment (DOE 1981) that resulted in a finding of no significant impact (FANCY) (47 Federal Register 34, p. 7483). The following year, DOE conducted site-specific environmental assessments (EAs) for 10 of the proposed projects. These F-As predicted no significant environmental impacts from these projects. Eventually, three ethanol fuel projects received loan guarantees and were actually built: the Tennol Energy Company (Tennol; DOE 1982a) facility near Jasper in southeastern Tennessee; the Agrifuels Refining Corporation (Agrifuels; DOE 1985) facility near New Liberia in southern Louisiana; and the New Energy Company of Indiana (NECI; DOE 1982b) facility in South Bend, Indiana. As part of a larger retrospective examination of a wide range of environmental effects of ethanol fuel plants, we compared the actual effects of the three completed plants on aquatic and terrestrial resources with the effects predicted in the NEPA EAs several years earlier. A secondary purpose was to determine: Why were there differences, if any, between actual effects and predictions? How can assessments be improved and impacts reduced?

  15. TESTING OF THE SPINTEK ROTARY MICROFILTER USING ACTUAL HANFORD WASTE SAMPLES

    SciTech Connect (OSTI)

    HUBER HJ

    2010-04-13

    The SpinTek rotary microfilter was tested on actual Hanford tank waste. The samples were a composite of archived Tank 241-AN-105 material and a sample representing single-shell tanks (SST). Simulants of the two samples have been used in non-rad test runs at the 222-S laboratory and at Savannah River National Laboratory (SRNL). The results of these studies are compared in this report. Two different nominal pore sizes for the sintered steel rotating disk filter were chosen: 0.5 and 0.1 {micro}m. The results suggest that the 0.5-{micro}m disk is preferable for Hanford tank waste for the following reasons: (1) The filtrate clarity is within the same range (<<4 ntu for both disks); (2) The filtrate flux is in general higher for the 0.5-{micro}m disk; and (3) The 0.1-{micro}m disk showed a higher likelihood of fouling. The filtrate flux of the actual tank samples is generally in the range of 20-30% compared to the equivalent non-rad tests. The AN-105 slurries performed at about twice the filtrate flux of the SST slurries. The reason for this difference has not been identified. Particle size distributions in both cases are very similar; comparison of the chemical composition is not conclusive. The sole hint towards what material was stuck in the filter pore holes came from the analysis of the dried flakes from the surface of the fouled 0.1-{micro}m disk. A cleaning approach developed by SRNL personnel to deal with fouled disks has been found adaptable when using actual Hanford samples. The use of 1 M nitric acid improved the filtrate flux by approximately two times; using the same simulants as in the non-rad test runs showed that the filtrate flux was restored to 1/2 of its original amount.

  16. What do the DOE Zero Energy Ready Home Program Specs Actually Require?

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

    Alternate HVAC Systems & the Need to Use a Credentialed HVAC Contractor What do the DOE Zero Energy Ready Home Program Specs Actually Require? The DOE Zero Energy Ready Home program frequently receives inquiries about the need for qualifying projects to use an HVAC contractor who is certified by an H-QUITO 1 . The DOE Zero Energy Ready Home program incorporates all of the ENERGY STAR Homes provisions. While commissioning is important for all HVAC systems, Versions 3 and 3.1 of the ENERGY

  17. ACTUAL WASTE TESTING OF GYCOLATE IMPACTS ON THE SRS TANK FARM

    SciTech Connect (OSTI)

    Martino, C.

    2014-05-28

    Glycolic acid is being studied as a replacement for formic acid in the Defense Waste Processing Facility (DWPF) feed preparation process. After implementation, the recycle stream from DWPF back to the high-level waste Tank Farm will contain soluble sodium glycolate. Most of the potential impacts of glycolate in the Tank Farm were addressed via a literature review and simulant testing, but several outstanding issues remained. This report documents the actual-waste tests to determine the impacts of glycolate on storage and evaporation of Savannah River Site high-level waste. The objectives of this study are to address the following: Determine the extent to which sludge constituents (Pu, U, Fe, etc.) dissolve (the solubility of sludge constituents) in the glycolate-containing 2H-evaporator feed. Determine the impact of glycolate on the sorption of fissile (Pu, U, etc.) components onto sodium aluminosilicate solids. The first objective was accomplished through actual-waste testing using Tank 43H and 38H supernatant and Tank 51H sludge at Tank Farm storage conditions. The second objective was accomplished by contacting actual 2H-evaporator scale with the products from the testing for the first objective. There is no anticipated impact of up to 10 g/L of glycolate in DWPF recycle to the Tank Farm on tank waste component solubilities as investigated in this test. Most components were not influenced by glycolate during solubility tests, including major components such as aluminum, sodium, and most salt anions. There was potentially a slight increase in soluble iron with added glycolate, but the soluble iron concentration remained so low (on the order of 10 mg/L) as to not impact the iron to fissile ratio in sludge. Uranium and plutonium appear to have been supersaturated in 2H-evaporator feed solution mixture used for this testing. As a result, there was a reduction of soluble uranium and plutonium as a function of time. The change in soluble uranium concentration was

  18. ECUADOR: counting down the barrels

    SciTech Connect (OSTI)

    Not Available

    1983-02-09

    Within the world oil market, OPEC faces a reduced role as supplier and production/price dilemmas. One of its members, Ecuador, faces rapid drawdown of its reserves and ultimate loss of membership in the cartel. But Ecuador is tackling the problem by a variety of means and is still defending OPEC prices, as its OPEC Governor tells Energy Detente. The complete interview with Cesar Guerra Navarrete, the OPEC Governor is presented. The Energy Detente fuel price/tax series and the principal industrial fuel prices as of February 1983 are included for countries of the Eastern Hemisphere.

  19. ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    6" ,"Released: February 7, 2008" ,"Next Update: October 2008" ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, " ,"2006 and Projected 2007 through 2011 " ,"(Megawatts and 2006 Base Year)" ,"Projected Monthly Base","Year","Contiguous U.S.","Eastern Power Grid",,,,,,"Texas Power Grid","Western Power Grid"

  20. Filtration and Leach Testing for REDOX Sludge and S-Saltcake Actual Waste Sample Composites

    SciTech Connect (OSTI)

    Shimskey, Rick W.; Billing, Justin M.; Buck, Edgar C.; Daniel, Richard C.; Draper, Kathryn E.; Edwards, Matthew K.; Geeting, John GH; Hallen, Richard T.; Jenson, Evan D.; Kozelisky, Anne E.; MacFarlan, Paul J.; Peterson, Reid A.; Snow, Lanee A.; Swoboda, Robert G.

    2009-02-20

    A testing program evaluating actual tank waste was developed in response to Task 4 from the M-12 External Flowsheet Review Team (EFRT) issue response plan.( ) The test program was subdivided into logical increments. The bulk water-insoluble solid wastes that are anticipated to be delivered to the Waste Treatment and Immobilization Plant (WTP) were identified according to type such that the actual waste testing could be targeted to the relevant categories. Under test plan TP-RPP-WTP-467, eight broad waste groupings were defined. Samples available from the 222S archive were identified and obtained for testing. Under this test plan, a waste-testing program was implemented that included: • Homogenizing the archive samples by group as defined in the test plan • Characterizing the homogenized sample groups • Performing parametric leaching testing on each group for compounds of interest • Performing bench-top filtration/leaching tests in the hot cell for each group to simulate filtration and leaching activities if they occurred in the UFP2 vessel of the WTP Pretreatment Facility. This report focuses on filtration/leaching tests performed on two of the eight waste composite samples and follow-on parametric tests to support aluminum leaching results from those tests.

  1. PERFORMANCE TESTING OF THE NEXT-GENERATION CSSX SOLVENT WITH ACTUAL SRS TANK WASTE

    SciTech Connect (OSTI)

    Pierce, R.; Peters, T.; Crowder, M.; Fink, S.

    2011-11-01

    Efforts are underway to qualify the Next-Generation Solvent for the Caustic Side Solvent Extraction (CSSX) process. Researchers at multiple national laboratories have been involved in this effort. As part of the effort to qualify the solvent extraction system at the Savannah River Site (SRS), SRNL performed a number of tests at various scales. First, SRNL completed a series of batch equilibrium, or Extraction-Scrub-Strip (ESS), tests. These tests used {approx}30 mL of Next-Generation Solvent and either actual SRS tank waste, or waste simulant solutions. The results from these cesium mass transfer tests were used to predict solvent behavior under a number of conditions. At a larger scale, SRNL assembled 12 stages of 2-cm (diameter) centrifugal contactors. This rack of contactors is structurally similar to one tested in 2001 during the demonstration of the baseline CSSX process. Assembly and mechanical testing found no issues. SRNL performed a nonradiological test using 35 L of cesium-spiked caustic waste simulant and 39 L of actual tank waste. Test results are discussed; particularly those related to the effectiveness of extraction.

  2. Wind farm production cost: Optimum turbine size and farm capacity in the actual market

    SciTech Connect (OSTI)

    Laali, A.R.; Meyer, J.L.; Bellot, C.; Louche, A.

    1996-12-31

    Several studies are undertaken in R&D Division of EDF in collaboration with ERASME association in order to have a good knowledge of the wind energy production costs. These studies are performed in the framework of a wind energy monitoring project and concern the influence of a few parameters like wind farm capacity, turbine size and wind speed on production costs, through an analysis of the actual market trend. Some 50 manufacturers and 140 different kind of wind turbines are considered for this study. The minimum production cost is situated at 800/900 kW wind turbine rated power. This point will probably move to more important powers in the future. This study is valid only for average conditions and some special parameters like particular climate conditions or lack of infrastructure for a special site the could modify the results shown on the curves. The variety of wind turbines (rated power as a function of rotor diameter, height and specific rated power) in the actual market is analyzed. A brief analysis of the market trend is also performed. 7 refs., 7 figs.

  3. Table 11a. Coal Prices to Electric Generating Plants, Projected vs. Actual

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

    a. Coal Prices to Electric Generating Plants, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars per million Btu in ""dollar year"" specific to each AEO)" ,"AEO $ Year",1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO 1994",1992,1.4699,1.4799,1.53,1.57,1.58,1.57,1.61,1.63,1.68,1.69,1.7,1.72,1.7,1.76,1.79,1.81,1.88,1.92 "AEO

  4. Table 11a. Coal Prices to Electric Generating Plants, Projected vs. Actual

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

    a. Coal Prices to Electric Generating Plants, Projected vs. Actual Projected Price in Constant Dollars (constant dollars per million Btu in "dollar year" specific to each AEO) AEO $ Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 1992 1.47 1.48 1.53 1.57 1.58 1.57 1.61 1.63 1.68 1.69 1.70 1.72 1.70 1.76 1.79 1.81 1.88 1.92 AEO 1995 1993 1.39 1.39 1.38 1.40 1.40 1.39 1.39 1.42 1.41 1.43 1.44 1.45 1.46 1.46 1.46 1.47

  5. Table 7a. Natural Gas Price, Electric Power Sector, Actual vs. Projected

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

    a. Natural Gas Price, Electric Power Sector, Actual vs. Projected Projected Price in Constant Dollars (constant dollars per million Btu in "dollar year" specific to each AEO) AEO $ Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 1992 2.44 2.48 2.57 2.66 2.70 2.79 2.84 2.92 3.04 3.16 3.25 3.36 3.51 3.60 3.77 3.91 3.97 4.08 AEO 1995 1993 2.39 2.48 2.42 2.45 2.45 2.53 2.59 2.78 2.91 3.10 3.24 3.38 3.47 3.53 3.61 3.68

  6. Characterization, Leaching, and Filtrations Testing of Ferrocyanide Tank sludge (Group 8) Actual Waste Composite

    SciTech Connect (OSTI)

    Fiskum, Sandra K.; Billing, Justin M.; Crum, J. V.; Daniel, Richard C.; Edwards, Matthew K.; Shimskey, Rick W.; Peterson, Reid A.; MacFarlan, Paul J.; Buck, Edgar C.; Draper, Kathryn E.; Kozelisky, Anne E.

    2009-02-28

    This is the final report in a series of eight reports defining characterization, leach, and filtration testing of a wide variety of Hanford tank waste sludges. The information generated from this series is intended to supplement the Waste Treatment and Immobilization Plant (WTP) project understanding of actual waste behaviors associated with tank waste sludge processing through the pretreatment portion of the WTP. The work described in this report presents information on a high-iron waste form, specifically the ferrocyanide tank waste sludge. Iron hydroxide has been shown to pose technical challenges during filtration processing; the ferrocyanide tank waste sludge represented a good source of the high-iron matrix to test the filtration processing.

  7. The primary test of measuremental system for the actual emittance of relativistic electron beams

    SciTech Connect (OSTI)

    Liang Fu; Tai-bin Du; Xin Chen

    1995-12-31

    Recent, a new measuremental system has been established basically in Tsinghua University PRA. This system is able to measure the lower emittance of the electron beams from the RF accelerators for the FEL. It consists of a scanning magnetic field, a slit, a fluorescent screen, and a TV camera, an image processing system, a CAD 386 computer. Using it an actual phase diagram is obtained for 4-10 Mev electron beams, The principle and structure of the facility were reported in the Proceeding of the 15th FEL Conference. This paper describes the performance of the main components and the results of first measurement for the electron gun and 4Mev standing wave LINAC, Some new suggests are related too.

  8. An insight into actual energy use and its drivers in high-performance buildings

    SciTech Connect (OSTI)

    Li, Cheng; Hong, Tianzhen; Yan, Da

    2014-07-12

    Using portfolio analysis and individual detailed case studies, we studied the energy performance and drivers of energy use in 51 high-performance office buildings in the U.S., Europe, China, and other parts of Asia. Portfolio analyses revealed that actual site energy use intensity (EUI) of the study buildings varied by a factor of as much as 11, indicating significant variation in real energy use in HPBs worldwide. Nearly half of the buildings did not meet the American Society of Heating, Refrigerating, and Air Conditioning Engineers (ASHRAE) Standard 90.1-2004 energy target, raising questions about whether a building’s certification as high performing accurately indicates that a building is energy efficient and suggesting that improvement in the design and operation of HPBs is needed to realize their energy-saving potential. We studied the influence of climate, building size, and building technologies on building energy performance and found that although all are important, none are decisive factors in building energy use. EUIs were widely scattered in all climate zones. There was a trend toward low energy use in small buildings, but the correlation was not absolute; some small HPBs exhibited high energy use, and some large HPBs exhibited low energy use. We were unable to identify a set of efficient technologies that correlated directly to low EUIs. In two case studies, we investigated the influence of occupant behavior as well as operation and maintenance on energy performance and found that both play significant roles in realizing energy savings. We conclude that no single factor determines the actual energy performance of HPBs, and adding multiple efficient technologies does not necessarily improve building energy performance; therefore, an integrated design approach that takes account of climate, technology, occupant behavior, and operations and maintenance practices should be implemented to maximize energy savings in HPBs. As a result, these findings are

  9. An insight into actual energy use and its drivers in high-performance buildings

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

    Li, Cheng; Hong, Tianzhen; Yan, Da

    2014-07-12

    Using portfolio analysis and individual detailed case studies, we studied the energy performance and drivers of energy use in 51 high-performance office buildings in the U.S., Europe, China, and other parts of Asia. Portfolio analyses revealed that actual site energy use intensity (EUI) of the study buildings varied by a factor of as much as 11, indicating significant variation in real energy use in HPBs worldwide. Nearly half of the buildings did not meet the American Society of Heating, Refrigerating, and Air Conditioning Engineers (ASHRAE) Standard 90.1-2004 energy target, raising questions about whether a building’s certification as high performing accuratelymore » indicates that a building is energy efficient and suggesting that improvement in the design and operation of HPBs is needed to realize their energy-saving potential. We studied the influence of climate, building size, and building technologies on building energy performance and found that although all are important, none are decisive factors in building energy use. EUIs were widely scattered in all climate zones. There was a trend toward low energy use in small buildings, but the correlation was not absolute; some small HPBs exhibited high energy use, and some large HPBs exhibited low energy use. We were unable to identify a set of efficient technologies that correlated directly to low EUIs. In two case studies, we investigated the influence of occupant behavior as well as operation and maintenance on energy performance and found that both play significant roles in realizing energy savings. We conclude that no single factor determines the actual energy performance of HPBs, and adding multiple efficient technologies does not necessarily improve building energy performance; therefore, an integrated design approach that takes account of climate, technology, occupant behavior, and operations and maintenance practices should be implemented to maximize energy savings in HPBs. As a result, these

  10. Table 11b. Coal Prices to Electric Generating Plants, Projected vs. Actual

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

    b. Coal Prices to Electric Generating Plants, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars per million Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 1.50 1.55 1.64 1.73 1.78 1.82 1.92 2.01 2.13 2.22 2.30 2.41 2.46 2.64 2.78 2.90 3.12 3.30 AEO 1995 1.42 1.46 1.49 1.55 1.59 1.62 1.67 1.76 1.80 1.89 1.97 2.05 2.13 2.21 2.28 2.38 2.50 AEO 1996 1.35 1.35 1.37 1.39 1.42 1.46 1.50 1.56 1.62 1.67 1.75