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Sample records for gas capacity estimates

  1. Estimate of Maximum Underground Working Gas Storage Capacity in the United States: 2007 Update

    Reports and Publications (EIA)

    2007-01-01

    This report provides an update to an estimate for U.S. aggregate natural gas storage capacity that was released in 2006.

  2. Estimate of Maximum Underground Working Gas Storage Capacity in the United States

    Reports and Publications (EIA)

    2006-01-01

    This report examines the aggregate maximum capacity for U.S. natural gas storage. Although the concept of maximum capacity seems quite straightforward, there are numerous issues that preclude the determination of a definitive maximum volume. The report presents three alternative estimates for maximum capacity, indicating appropriate caveats for each.

  3. Peak Underground Working Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    of capacity that may understate the amount that can actually be stored. Working Gas Design Capacity: This measure estimates a natural gas facility's working gas capacity, as...

  4. Peak Underground Working Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    Previous Articles Previous Articles Estimates of Peak Underground Working Gas Storage Capacity in the United States, 2009 Update (Released, 8312009) Estimates of Peak Underground...

  5. ,"Oklahoma Natural Gas Underground Storage Capacity (MMcf)"

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

    Data for" ,"Data 1","Oklahoma Natural Gas Underground Storage Capacity ... 11:44:43 AM" "Back to Contents","Data 1: Oklahoma Natural Gas Underground Storage Capacity ...

  6. ,"Kansas Natural Gas Underground Storage Capacity (MMcf)"

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

    Data for" ,"Data 1","Kansas Natural Gas Underground Storage Capacity ... 7:00:56 AM" "Back to Contents","Data 1: Kansas Natural Gas Underground Storage Capacity ...

  7. California Working Natural Gas Underground Storage Capacity ...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) California Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  8. ,"Texas Natural Gas Underground Storage Capacity (MMcf)"

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

    Data for" ,"Data 1","Texas Natural Gas Underground Storage Capacity ... 7:01:01 AM" "Back to Contents","Data 1: Texas Natural Gas Underground Storage Capacity ...

  9. Washington Working Natural Gas Underground Storage Capacity ...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Washington Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  10. Mississippi Working Natural Gas Underground Storage Capacity...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Mississippi Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  11. Pennsylvania Working Natural Gas Underground Storage Capacity...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Pennsylvania Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May...

  12. ,"Virginia Natural Gas Underground Storage Capacity (MMcf)"

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

    Data for" ,"Data 1","Virginia Natural Gas Underground Storage Capacity ... 11:44:46 AM" "Back to Contents","Data 1: Virginia Natural Gas Underground Storage Capacity ...

  13. ,"Minnesota Natural Gas Underground Storage Capacity (MMcf)"

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

    Data for" ,"Data 1","Minnesota Natural Gas Underground Storage Capacity ... 7:00:58 AM" "Back to Contents","Data 1: Minnesota Natural Gas Underground Storage Capacity ...

  14. Natural Gas Underground Storage Capacity (Summary)

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

    Salt Caverns Storage Capacity Aquifers Storage Capacity Depleted Fields Storage Capacity Total Working Gas Capacity Working Gas Capacity of Salt Caverns Working Gas Capacity of Aquifers Working Gas Capacity of Depleted Fields Total Number of Existing Fields Number of Existing Salt Caverns Number of Existing Aquifers Number of Depleted Fields Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data

  15. Peak Underground Working Natural Gas Storage Capacity

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

    Capacity Peak Underground Working Natural Gas Storage Capacity Released: September 3, 2010 for data as of April 2010 Next Release: August 2011 References Methodology Definitions...

  16. ,"Washington Natural Gas Underground Storage Capacity (MMcf)...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural Gas Underground Storage Capacity (MMcf)",1,"Annual",2014 ,"Release...

  17. ,"Texas Natural Gas Underground Storage Capacity (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Underground Storage Capacity (MMcf)",1,"Annual",2014 ,"Release Date:","9...

  18. GASCAP: Wellhead Gas Productive Capacity Model documentation, June 1993

    SciTech Connect (OSTI)

    Not Available

    1993-07-01

    The Wellhead Gas Productive Capacity Model (GASCAP) has been developed by EIA to provide a historical analysis of the monthly productive capacity of natural gas at the wellhead and a projection of monthly capacity for 2 years into the future. The impact of drilling, oil and gas price assumptions, and demand on gas productive capacity are examined. Both gas-well gas and oil-well gas are included. Oil-well gas productive capacity is estimated separately and then combined with the gas-well gas productive capacity. This documentation report provides a general overview of the GASCAP Model, describes the underlying data base, provides technical descriptions of the component models, diagrams the system and subsystem flow, describes the equations, and provides definitions and sources of all variables used in the system. This documentation report is provided to enable users of EIA projections generated by GASCAP to understand the underlying procedures used and to replicate the models and solutions. This report should be of particular interest to those in the Congress, Federal and State agencies, industry, and the academic community, who are concerned with the future availability of natural gas.

  19. Property:Number of Plants included in Capacity Estimate | Open...

    Open Energy Info (EERE)

    Plants included in Capacity Estimate Jump to: navigation, search Property Name Number of Plants included in Capacity Estimate Property Type Number Retrieved from "http:...

  20. Natural Gas Aquifers Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    2,086 11,809 11,254 9,720 9,459 9,992 1979-2014 Natural Gas Nonassociated, Wet After Lease Separation 12,004 11,704 11,111 9,578 9,322 9,766 1979-2014 Natural Gas Associated-Dissolved, Wet After Lease Separation 82 105 143 142 137 226 1979-2014 Dry Natural Gas 11,457 11,186 10,626 9,200 8,943 9,484 Separation

    2,004 11,704 11,111 9,578 9,322 9,766 1979-2014 Adjustments 263 120 179 49 42 310 1979-2014 Revision Increases 898 1,795 1,695 1,647 2,517 2,021 1979-2014 Revision Decreases 1,125

  1. West Virginia Working Natural Gas Underground Storage Capacity...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) West Virginia Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May...

  2. Montana Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Montana Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  3. Assessment of the Adequacy of Natural Gas Pipeline Capacity in...

    Office of Environmental Management (EM)

    Assessment of the Adequacy of Natural Gas Pipeline Capacity in the Northeast United States - November 2013 Assessment of the Adequacy of Natural Gas Pipeline Capacity in the ...

  4. Indiana Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Indiana Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  5. Oregon Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Oregon Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  6. Arkansas Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Arkansas Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  7. Alaska Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Alaska Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  8. Oklahoma Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Oklahoma Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  9. Nebraska Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Nebraska Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  10. Michigan Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Michigan Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  11. Minnesota Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Minnesota Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  12. Utah Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Utah Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  13. Missouri Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Missouri Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  14. Virginia Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Virginia Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  15. Maryland Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Maryland Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  16. Wyoming Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Wyoming Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  17. Ohio Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Ohio Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  18. Illinois Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Illinois Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  19. Iowa Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Iowa Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  20. Kentucky Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Kentucky Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  1. Texas Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Texas Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  2. Louisiana Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Louisiana Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  3. Alabama Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Alabama Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  4. New York Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) New York Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  5. ,"West Virginia Natural Gas Underground Storage Capacity (MMcf...

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

    Data for" ,"Data 1","West Virginia Natural Gas Underground Storage Capacity ... AM" "Back to Contents","Data 1: West Virginia Natural Gas Underground Storage Capacity ...

  6. Kansas Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Kansas Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  7. New Mexico Working Natural Gas Underground Storage Capacity ...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) New Mexico Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  8. Utah Underground Natural Gas Storage Capacity

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

    124,509 124,509 124,509 124,509 124,509 124,509 2002-2016 Total Working Gas Capacity 54,942 54,942 54,942 54,942 54,942 54,942 2012-2016 Total Number of Existing Fields 3 3 3 3 3 3

  9. Virginia Underground Natural Gas Storage Capacity

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

    9,500 9,500 9,500 9,500 9,500 9,500 2002-2016 Total Working Gas Capacity 5,400 5,400 5,400 5,400 5,400 5,400 2012-2016 Total Number of Existing Fields 2 2 2 2 2 2

  10. West Virginia Underground Natural Gas Storage Capacity

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

    528,837 528,837 528,837 528,837 528,837 528,837 2002-2016 Total Working Gas Capacity 259,380 259,380 259,374 259,370 259,370 259,362 2012-2016 Total Number of Existing Fields 30 30 30 30 31 31

  11. Indiana Underground Natural Gas Storage Capacity

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

    11,581 111,581 111,581 111,581 111,581 111,581 2002-2016 Total Working Gas Capacity 33,592 33,592 33,592 33,592 33,592 33,592 2012-2016 Total Number of Existing Fields 21 21 21 21 21 21

  12. Iowa Underground Natural Gas Storage Capacity

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

    288,210 288,210 288,210 288,210 288,210 288,210 2002-2016 Total Working Gas Capacity 90,313 90,313 90,313 90,313 90,313 90,313 2012-2016 Total Number of Existing Fields 4 4 4 4 4 4

  13. Kansas Underground Natural Gas Storage Capacity

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

    82,984 282,984 282,984 282,984 282,984 282,984 2002-2016 Total Working Gas Capacity 122,980 122,980 122,980 122,980 122,980 122,980 2012-2016 Total Number of Existing Fields 17 17 17 17 17 17

  14. Kentucky Underground Natural Gas Storage Capacity

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

    21,722 221,722 221,722 221,722 221,722 221,722 2002-2016 Total Working Gas Capacity 107,571 107,571 107,571 107,571 107,571 107,571 2012-2016 Total Number of Existing Fields 23 23 23 23 23 23

  15. Louisiana Underground Natural Gas Storage Capacity

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

    743,067 743,067 743,067 743,067 743,067 743,067 2002-2016 Total Working Gas Capacity 453,929 453,929 453,929 453,929 454,529 454,529 2012-2016 Total Number of Existing Fields 19 19 19 19 19 19

  16. Maryland Underground Natural Gas Storage Capacity

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

    64,000 64,000 64,000 64,000 64,000 64,000 2002-2016 Total Working Gas Capacity 18,300 18,300 18,300 18,300 18,300 18,300 2012-2016 Total Number of Existing Fields 1 1 1 1 1 1

  17. Michigan Underground Natural Gas Storage Capacity

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

    1,071,630 1,071,630 1,071,630 1,071,630 1,071,630 1,071,630 2002-2016 Total Working Gas Capacity 685,726 685,726 685,726 685,726 685,726 685,726 2012-2016 Total Number of Existing Fields 44 44 44 44 44 44

  18. Mississippi Underground Natural Gas Storage Capacity

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

    32,900 332,958 333,763 334,305 334,937 334,961 2002-2016 Total Working Gas Capacity 202,972 203,085 203,700 204,113 205,004 205,019 2012-2016 Total Number of Existing Fields 12 12 12 12 12 12

  19. Missouri Underground Natural Gas Storage Capacity

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

    13,845 13,845 13,845 13,845 13,845 13,845 2002-2016 Total Working Gas Capacity 6,000 6,000 6,000 6,000 6,000 6

  20. Montana Underground Natural Gas Storage Capacity

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

    76,301 376,301 376,301 376,301 376,301 376,301 2002-2016 Total Working Gas Capacity 197,501 197,501 197,501 197,501 197,501 197,501 2012-2016 Total Number of Existing Fields 5 5 5 5 5 5

  1. Washington Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    39,210 41,309 43,673 46,900 46,900 46,900 1988-2014 Aquifers 39,210 41,309 43,673 46,900 46,900 46,900 1999-2014 Depleted Fields 0 0 1999-2014 Total Working Gas Capacity 23,514...

  2. Tennessee Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    1,200 0 NA NA 1998-2014 Salt Caverns 0 0 1999-2014 Aquifers 0 0 1999-2014 Depleted Fields 1,200 0 0 1999-2014 Total Working Gas Capacity 860 0 0 2008-2014 Salt Caverns 0 0...

  3. Wyoming Underground Natural Gas Storage Capacity

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

    157,985 157,985 157,985 157,985 157,985 157,985 2002-2016 Total Working Gas Capacity 73,705 73,705 73,705 73,705 73,705 73,705 2012-2016 Total Number of Existing Fields 9 9 9 9 9 9

  4. New York Underground Natural Gas Storage Capacity

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

    245,779 245,779 245,779 245,779 245,779 245,779 2002-2016 Total Working Gas Capacity 126,871 126,871 126,871 126,871 126,871 126,871 2012-2016 Total Number of Existing Fields 26 26 26 26 26 26

  5. Ohio Underground Natural Gas Storage Capacity

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

    575,794 575,794 575,794 575,794 575,794 575,794 2002-2016 Total Working Gas Capacity 230,828 230,828 230,828 230,828 230,828 230,828 2012-2016 Total Number of Existing Fields 24 24 24 24 24 24

  6. Oklahoma Underground Natural Gas Storage Capacity

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

    375,143 375,143 375,143 375,143 375,143 375,143 2002-2016 Total Working Gas Capacity 191,455 191,455 193,455 193,455 193,455 193,455 2012-2016 Total Number of Existing Fields 13 13 13 13 13 13

  7. Oregon Underground Natural Gas Storage Capacity

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

    29,565 29,565 29,565 29,565 29,565 29,565 2002-2016 Total Working Gas Capacity 15,935 15,935 15,935 15,935 15,935 15,935 2012-2016 Total Number of Existing Fields 7 7 7 7 7 7

  8. Pennsylvania Underground Natural Gas Storage Capacity

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

    771,422 771,422 760,619 760,619 760,619 760,619 2002-2016 Total Working Gas Capacity 429,796 429,796 425,861 425,861 425,861 425,861 2012-2016 Total Number of Existing Fields 49 49 49 49 49 49

  9. Alabama Underground Natural Gas Storage Capacity

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

    43,600 43,600 43,600 43,600 43,600 43,600 2002-2016 Total Working Gas Capacity 33,150 33,150 33,150 33,150 33,150 33,150 2012-2016 Total Number of Existing Fields 2 2 2 2 2 2

  10. Alaska Underground Natural Gas Storage Capacity

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

    83,592 83,592 83,592 83,592 83,592 83,592 2013-2016 Total Working Gas Capacity 67,915 67,915 67,915 67,915 67,915 67,915 2013-2016 Total Number of Existing Fields 5 5 5 5 5 5

  11. California Underground Natural Gas Storage Capacity

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

    601,808 601,808 601,808 601,808 601,808 601,808 2002-2016 Total Working Gas Capacity 375,496 375,496 375,496 375,496 375,496 375,496 2012-2016 Total Number of Existing Fields 14 14 14 14 14 14

  12. Colorado Underground Natural Gas Storage Capacity

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

    130,186 130,186 130,186 130,186 130,186 130,186 2002-2016 Total Working Gas Capacity 63,774 63,774 63,774 63,774 63,774 63,774 2012-2016 Total Number of Existing Fields 10 10 10 10 10 10

  13. Illinois Underground Natural Gas Storage Capacity

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

    ,004,100 1,004,100 1,004,100 1,004,100 1,004,100 1,004,130 2002-2016 Total Working Gas Capacity 303,613 303,613 303,613 303,613 303,613 303,613 2012-2016 Total Number of Existing Fields 28 28 28 28 28 28

  14. Texas Underground Natural Gas Storage Capacity

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

    834,965 844,911 848,671 851,541 851,541 851,541 2002-2016 Total Working Gas Capacity 534,539 544,485 546,285 546,285 546,285 546,285 2012-2016 Total Number of Existing Fields 36 36 36 36 36 36

  15. Minnesota Underground Natural Gas Storage Capacity

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

    7,000 7,000 7,000 7,000 7,000 7,000 2002-2016 Total Working Gas Capacity 2,000 2,000 2,000 2,000 2,000 2

  16. Natural Gas Underground Storage Capacity (Summary)

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

    Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From

  17. Nitrogen expander cycles for large capacity liquefaction of natural gas

    SciTech Connect (OSTI)

    Chang, Ho-Myung; Park, Jae Hoon; Gwak, Kyung Hyun; Choe, Kun Hyung

    2014-01-29

    Thermodynamic study is performed on nitrogen expander cycles for large capacity liquefaction of natural gas. In order to substantially increase the capacity, a Brayton refrigeration cycle with nitrogen expander was recently added to the cold end of the reputable propane pre-cooled mixed-refrigerant (C3-MR) process. Similar modifications with a nitrogen expander cycle are extensively investigated on a variety of cycle configurations. The existing and modified cycles are simulated with commercial process software (Aspen HYSYS) based on selected specifications. The results are compared in terms of thermodynamic efficiency, liquefaction capacity, and estimated size of heat exchangers. The combination of C3-MR with partial regeneration and pre-cooling of nitrogen expander cycle is recommended to have a great potential for high efficiency and large capacity.

  18. EIA - Natural Gas Pipeline Network - Pipeline Capacity and Utilization

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

    Pipeline Utilization & Capacity About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Natural Gas Pipeline Capacity & Utilization Overview | Utilization Rates | Integration of Storage | Varying Rates of Utilization | Measures of Utilization Overview of Pipeline Utilization Natural gas pipeline companies prefer to operate their systems as close to full capacity as possible to maximize their revenues. However, the average

  19. EIA - Natural Gas Pipeline Network - Region To Region System Capacity

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

    Levels Interregional Capacity About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Interregional Natural Gas Transmission Pipeline Capacity, Close of 2008 (Million cubic feet per day) Map of Interregional Natural Gas Transmission Pipeline Capacity in 2008 The EIA has determined that the informational map displays here do not raise security concerns, based on the application of the Federal Geographic Data Committee's Guidelines for

  20. Natural Gas Underground Storage Capacity (Summary)

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

    Total Working Gas Capacity Total Number of Existing Fields Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area Jan-16 Feb-16 Mar-16 Apr-16 May-16 Jun-16 View History U.S. 9,225,127 9,235,132 9,228,893 9,232,305 9,232,937 9,232,991 1989-2016 Alaska 83,592 83,592 83,592 83,592 83,592 83,592 2013-2016 Lower 48 States 9,141,535 9,151,540 9,145,301 9,148,713 9,149,345 9,149,399

  1. Iowa Natural Gas Underground Storage Capacity (Million Cubic...

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

    Capacity (Million Cubic Feet) Iowa Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 273,200 273,200 273,200...

  2. AGA Producing Region Natural Gas Total Underground Storage Capacity...

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

    Storage Capacity (Million Cubic Feet) AGA Producing Region Natural Gas Total Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec...

  3. ,"New Mexico Natural Gas Underground Storage Capacity (MMcf)...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Underground Storage Capacity (MMcf)",1,"Annual",2014 ,"Release Date:","9...

  4. ,"U.S. Underground Natural Gas Storage Capacity"

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

    ,"Data 1","U.S. Underground Natural Gas Storage Capacity",3,"Monthly","22016","115...ngstorcapdcunusm.htm" ,"Source:","Energy Information Administration" ,"For Help, ...

  5. ,"U.S. Underground Natural Gas Storage Capacity"

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

    6:50:48 AM" "Back to Contents","Data 1: U.S. Underground Natural Gas Storage Capacity" ...US8","NA1392NUS8","NA1391NUS8" "Date","U.S. Total Natural Gas Underground Storage ...

  6. Biomass Power Generation Market Capacity is Estimated to Reach...

    Open Energy Info (EERE)

    Biomass Power Generation Market Capacity is Estimated to Reach 122,331.6 MW by 2022 Home > Groups > Renewable Energy RFPs Wayne31jan's picture Submitted by Wayne31jan(150)...

  7. Natural gas productive capacity for the lower 48 states 1984 through 1996, February 1996

    SciTech Connect (OSTI)

    1996-02-09

    This is the fourth wellhead productive capacity report. The three previous ones were published in 1991, 1993, and 1994. This report should be of particular interest to those in Congress, Federal and State agencies, industry, and the academic community, who are concerned with the future availability of natural gas. The EIA Dallas Field Office has prepared five earlier reports regarding natural gas productive capacity. These reports, Gas Deliverability and Flow Capacity of Surveillance Fields, reported deliverability and capacity data for selected gas fields in major gas producing areas. The data in the reports were based on gas-well back-pressure tests and estimates of gas-in-place for each field or reservoir. These reports use proven well testing theory, most of which has been employed by industry since 1936 when the Bureau of Mines first published Monograph 7. Demand for natural gas in the United States is met by a combination of natural gas production, underground gas storage, imported gas, and supplemental gaseous fuels. Natural gas production requirements in the lower 48 States have been increasing during the last few years while drilling has remained at low levels. This has raised some concern about the adequacy of future gas supplies, especially in periods of peak heating or cooling demand. The purpose of this report is to address these concerns by presenting a 3-year projection of the total productive capacity of natural gas at the wellhead for the lower 48 States. Alaska is excluded because Alaskan gas does not enter the lower-48 States pipeline system. The Energy Information Administration (EIA) generates this 3-year projection based on historical gas-well drilling and production data from State, Federal, and private sources. In addition to conventional gas-well gas, coalbed gas and oil-well gas are also included.

  8. Lower 48 States Total Natural Gas Underground Storage Capacity...

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

    Lower 48 States Total Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2012 8,842,950 8,854,720 8,854,720 ...

  9. ,"U.S. Total Natural Gas Underground Storage Capacity (MMcf)...

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

    ...dnavnghistn5290us2m.htm" ,"Source:","Energy Information Administration" ,"For Help, ... 1: U.S. Total Natural Gas Underground Storage Capacity (MMcf)" "Sourcekey","N5290US2" ...

  10. ,"U.S. Total Natural Gas Underground Storage Capacity (MMcf)...

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

    ...dnavnghistn5290us2a.htm" ,"Source:","Energy Information Administration" ,"For Help, ... 1: U.S. Total Natural Gas Underground Storage Capacity (MMcf)" "Sourcekey","N5290US2" ...

  11. ,"U.S. Underground Natural Gas Storage Capacity"

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

    012015 7:00:34 AM" "Back to Contents","Data 1: U.S. Underground Natural Gas Storage Capacity" "Sourcekey","N5290US2","NA1393NUS2","NA1392NUS2","NA1391NUS2","NGAEP...

  12. ,"U.S. Underground Natural Gas Storage Capacity"

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

    012015 7:00:34 AM" "Back to Contents","Data 1: U.S. Underground Natural Gas Storage Capacity" "Sourcekey","N5290US2","NGAEPG0SACW0NUSMMCF","NA1394NUS8"...

  13. West Virginia Dry Natural Gas Reserves Estimated Production ...

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

    Estimated Production (Billion Cubic Feet) West Virginia Dry Natural Gas Reserves Estimated ... Dry Natural Gas Reserves Estimated Production West Virginia Dry Natural Gas Proved ...

  14. Virginia Dry Natural Gas Reserves Estimated Production (Billion...

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

    Estimated Production (Billion Cubic Feet) Virginia Dry Natural Gas Reserves Estimated ... Dry Natural Gas Reserves Estimated Production Virginia Dry Natural Gas Proved Reserves Dry ...

  15. New York Dry Natural Gas Reserves Estimated Production (Billion...

    Gasoline and Diesel Fuel Update (EIA)

    Estimated Production (Billion Cubic Feet) New York Dry Natural Gas Reserves Estimated ... Dry Natural Gas Reserves Estimated Production New York Dry Natural Gas Proved Reserves Dry ...

  16. New Mexico Dry Natural Gas Reserves Estimated Production (Billion...

    Gasoline and Diesel Fuel Update (EIA)

    Estimated Production (Billion Cubic Feet) New Mexico Dry Natural Gas Reserves Estimated ... Dry Natural Gas Reserves Estimated Production New Mexico Dry Natural Gas Proved Reserves ...

  17. North Dakota Dry Natural Gas Reserves Estimated Production (Billion...

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

    Estimated Production (Billion Cubic Feet) North Dakota Dry Natural Gas Reserves Estimated ... Dry Natural Gas Reserves Estimated Production North Dakota Dry Natural Gas Proved Reserves ...

  18. West Virginia Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    91,056 355,390 343,819 357,455 384,746 410,685 1990-2016 Base Gas 270,042 269,935 270,125 269,945 269,945 270,137 1990-2016 Working Gas 121,014 85,455 73,694 87,511 114,801 140,547 1990-2016 Net Withdrawals 62,059 35,666 11,571 -14,238 -27,290 -25,941 1990-2016 Injections 734 2,318 4,083 17,376 27,487 27,482 1990-2016 Withdrawals 62,793 37,985 15,654 3,137 197 1,542 1990-2016 Change in Working Gas from Same Period Previous Year Volume 21,210 26,758 34,404 25,047 18,992 19,873 1990-2016 Percent

  19. Alaska Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    38,492 38,987 39,438 40,879 42,836 44,158 2013-2016 Base Gas 14,197 14,197 14,197 14,197 14,197 14,197 2013-2016 Working Gas 24,295 24,790 25,241 26,682 28,639 29,961 2013-2016 Net Withdrawals -50 -459 -451 -1,441 -1,957 -1,468 2013-2016 Injections 496 748 752 1,540 2,065 1,970 2013-2016 Withdrawals 446 289 301 99 108 501 2013-2016 Change in Working Gas from Same Period Previous Year Volume -515 164 850 2,474 4,360 5,604 2013-2016 Percent -2.1 0.7 3.5 10.2 18.0 23.0 2013

    2013 2014 View

  20. Arkansas Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    13,037 12,709 12,271 12,715 13,517 14,240 1990-2016 Base Gas 11,664 11,652 11,652 12,091 12,542 12,970 1990-2016 Working Gas 1,374 1,057 619 625 974 1,270 1990-2016 Net Withdrawals 434 328 438 -444 -801 -724 1990-2016 Injections 127 208 68 574 808 724 1990-2016 Withdrawals 562 537 506 130 7 1990-2016 Change in Working Gas from Same Period Previous Year Volume -464 -214 -418 -321 -382 -444 1990-2016 Percent -25.3 -16.8 -40.3 -34.0 -28.2 -25.9

    1,760 21,760 21,359 21,853 21,853 21,853 1988-2014

  1. California Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    473,606 466,313 471,118 488,378 500,458 508,224 1990-2016 Base Gas 225,845 225,845 225,845 225,845 225,845 225,845 1990-2016 Working Gas 247,760 240,467 245,272 262,533 274,613 282,379 1990-2016 Net Withdrawals 40,217 7,203 -4,805 -17,261 -16,700 -7,766 1990-2016 Injections 5,046 7,694 14,460 19,176 20,553 12,383 1990-2016 Withdrawals 45,263 14,897 9,655 1,914 3,853 4,616 1990-2016 Change in Working Gas from Same Period Previous Year Volume 916 -8,951 -8,466 -7,672 -21,052 -23,626 1990-2016

  2. Louisiana Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    600,979 579,744 593,753 613,908 625,375 627,582 1990-2016 Base Gas 274,129 274,174 274,106 274,142 275,344 275,661 1990-2016 Working Gas 326,850 305,571 319,646 339,766 350,030 351,921 1990-2016 Net Withdrawals 56,058 21,175 -14,011 -20,296 -11,540 -2,585 1990-2016 Injections 10,677 23,206 38,091 36,480 30,639 23,795 1990-2016 Withdrawals 66,735 44,381 24,080 16,183 19,100 21,210 1990-2016 Change in Working Gas from Same Period Previous Year Volume 88,848 140,857 153,919 129,118 104,626 90,542

  3. Michigan Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    864,273 783,620 753,579 767,453 832,933 885,620 1990-2016 Base Gas 385,032 385,032 385,032 385,032 385,032 385,032 1990-2016 Working Gas 479,240 398,588 368,547 382,421 447,901 500,588 1990-2016 Net Withdrawals 108,415 80,654 30,025 -13,874 -65,480 -52,688 1990-2016 Injections 2,018 3,532 11,221 27,911 66,310 54,263 1990-2016 Withdrawals 110,433 84,187 41,246 14,037 831 1,576 1990-2016 Change in Working Gas from Same Period Previous Year Volume 125,998 221,529 252,480 223,347 206,679 176,879

  4. Oklahoma Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    319,836 309,723 315,586 324,956 340,266 343,288 1990-2016 Base Gas 183,624 183,624 181,624 181,624 181,624 181,624 1990-2016 Working Gas 136,212 126,100 133,962 143,332 158,643 161,664 1990-2016 Net Withdrawals 26,725 10,070 -5,923 -9,402 -15,348 -3,069 1990-2016 Injections 2,701 4,518 10,606 11,696 17,060 8,283 1990-2016 Withdrawals 29,426 14,589 4,683 2,294 1,711 5,214 1990-2016 Change in Working Gas from Same Period Previous Year Volume 38,649 59,569 66,611 53,951 38,406 23,706 1990-2016

  5. Alabama Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    29,595 30,309 30,632 34,015 35,551 34,065 1995-2016 Base Gas 9,640 9,640 9,640 10,450 10,450 10,450 1995-2016 Working Gas 19,955 20,669 20,992 23,565 25,101 23,615 1995-2016 Net Withdrawals 4,787 -713 -323 -3,383 -1,536 1,486 1993-2016 Injections 1,260 3,081 2,222 3,807 3,036 1,576 1994-2016 Withdrawals 6,047 2,367 1,898 424 1,500 3,062 1994-2016 Change in Working Gas from Same Period Previous Year Volume 4,615 13,768 13,039 9,452 5,305 3,085 1996-2016 Percent 30.1 199.5 163.9 67.0 26.8 15.0

  6. Colorado Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    90,208 87,796 84,108 82,774 88,322 94,164 1990-2016 Base Gas 58,435 58,428 58,429 58,436 58,440 58,446 1990-2016 Working Gas 31,772 29,368 25,679 24,338 29,882 35,718 1990-2016 Net Withdrawals 9,800 2,412 3,688 1,334 -5,548 -5,842 1990-2016 Injections 1,835 3,933 3,939 3,816 7,388 7,000 1990-2016 Withdrawals 11,635 6,345 7,627 5,149 1,841 1,157 1990-2016 Change in Working Gas from Same Period Previous Year Volume -434 2,740 2,493 3,043 3,547 2,566 1990-2016 Percent -1.3 10.3 10.8 14.3 13.5

  7. Illinois Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    841,442 791,168 765,076 760,530 786,818 818,890 1990-2016 Base Gas 701,925 701,925 701,214 700,778 701,417 702,443 1990-2016 Working Gas 139,517 89,243 63,862 59,753 85,401 116,447 1990-2016 Net Withdrawals 69,604 50,274 26,092 4,551 -26,284 -32,072 1990-2016 Injections 2,495 2,208 2,693 8,974 27,607 32,284 1990-2016 Withdrawals 72,099 52,482 28,785 13,525 1,324 212 1990-2016 Change in Working Gas from Same Period Previous Year Volume 4,759 12,589 8,399 4,856 1,676 3,856 1990-2016 Percent 3.5

  8. Indiana Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    97,724 92,441 90,746 90,218 93,116 95,432 1990-2016 Base Gas 77,171 77,164 77,161 77,161 77,159 77,158 1990-2016 Working Gas 20,553 15,277 13,584 13,057 15,957 18,274 1990-2016 Net Withdrawals 6,106 5,259 1,694 527 -2,905 -2,226 1990-2016 Injections 166 119 201 439 2,997 2,269 1990-2016 Withdrawals 6,272 5,378 1,894 966 92 42 1990-2016 Change in Working Gas from Same Period Previous Year Volume 3,736 3,953 4,911 4,051 4,056 3,433 1990-2016 Percent 22.2 34.9 56.6 45.0 34.1 23.1

    114,274 111,271

  9. Iowa Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    236,541 225,867 221,105 218,955 221,304 224,160 1990-2016 Base Gas 197,897 197,897 197,897 197,897 197,897 197,897 1990-2016 Working Gas 38,644 27,970 23,208 21,059 23,407 26,264 1990-2016 Net Withdrawals 19,427 10,674 4,762 2,150 -2,349 -2,856 1990-2016 Injections 122 1 1 17 2,858 3,331 1990-2016 Withdrawals 19,548 10,675 4,763 2,167 509 474 1990-2016 Change in Working Gas from Same Period Previous Year Volume 78 534 2,156 548 -2,458 -6,563 1991-2016 Percent 0.2 1.9 10.2 2.7 -9.5 -20.0

  10. Kentucky Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    190,694 181,000 178,850 194,795 203,102 205,878 1990-2016 Base Gas 112,965 112,964 112,961 112,959 112,957 112,956 1990-2016 Working Gas 77,729 68,036 65,889 81,836 90,145 92,922 1990-2016 Net Withdrawals 19,675 9,656 2,150 -16,117 -8,262 -2,776 1990-2016 Injections 575 1,883 3,203 17,718 10,554 5,041 1990-2016 Withdrawals 20,250 11,540 5,354 1,601 2,292 2,265 1990-2016 Change in Working Gas from Same Period Previous Year Volume 11,014 21,500 21,915 22,918 21,339 18,578 1990-2016 Percent 16.5

  11. Maryland Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    57,082 54,789 55,130 54,414 56,085 59,107 1990-2016 Base Gas 45,677 45,677 45,677 45,677 45,677 45,677 1990-2016 Working Gas 11,405 9,111 9,453 8,737 10,408 13,430 1990-2016 Net Withdrawals 3,991 2,294 -342 716 -1,671 -3,022 1990-2016 Injections 629 546 1,364 632 1,690 3,077 1990-2016 Withdrawals 4,620 2,840 1,022 1,347 19 55 1990-2016 Change in Working Gas from Same Period Previous Year Volume 393 2,976 4,288 3,318 2,443 2,887 1990-2016 Percent 3.6 48.5 83.0 61.2 30.7 27.4

    4,000 64,000

  12. Minnesota Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    6,658 6,531 6,016 6,009 6,085 6,259 1990-2016 Base Gas 4,848 4,848 4,848 4,848 4,848 4,848 1990-2016 Working Gas 1,810 1,683 1,168 1,161 1,237 1,411 1990-2016 Net Withdrawals 315 127 515 7 -76 -174 1990-2016 Injections 76 174 1990-2016 Withdrawals 315 127 515 7 1990-2016 Change in Working Gas from Same Period Previous Year Volume 100 228 63 63 145 283 1990-2016 Percent 5.8 15.7 5.7 5.7 13.3 25

    7,000 7,000 7,000 7,000 7,000 7,000 1988-2014 Aquifers 7,000 7,000 7,000 7,000 7,000 7,000 1999-2014

  13. Mississippi Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    249,528 242,509 254,667 261,037 267,742 266,005 1990-2016 Base Gas 116,505 116,483 116,449 116,491 116,028 116,068 1990-2016 Working Gas 133,023 126,026 138,218 144,545 151,714 149,937 1990-2016 Net Withdrawals 36,129 6,944 -12,187 -6,394 -6,684 1,758 1990-2016 Injections 5,837 12,939 20,073 13,651 15,608 8,894 1990-2016 Withdrawals 41,966 19,883 7,886 7,256 8,924 10,651 1990-2016 Change in Working Gas from Same Period Previous Year Volume 27,861 60,981 73,599 49,163 35,750 22,932 1990-2016

  14. Missouri Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    13,891 14,044 13,908 13,881 13,864 13,848 1990-2016 Base Gas 7,845 7,845 7,845 7,845 7,845 7,845 1990-2016 Working Gas 6,045 6,198 6,063 6,035 6,019 6,002 1990-2016 Net Withdrawals 433 -168 119 1990-2016 Injections 786 726 0 1990-2016 Withdrawals 1,219 557 119 1990-2016 Change in Working Gas from Same Period Previous Year Volume 137 1,572 458 446 447 447 1990-2016 Percent 2.3 34.0 8.2 8.0 8.0

    10,889 11,502 13,845 13,845 13,845 13,845 1988-2014 Aquifers 10,889 11,502 13,845 13,845 13,845

  15. Montana Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    193,997 191,940 192,710 196,653 201,855 206,763 1990-2016 Base Gas 178,501 178,501 178,501 178,501 178,501 178,501 1990-2016 Working Gas 15,496 13,439 14,209 18,153 23,354 28,262 1990-2016 Net Withdrawals 4,394 2,057 -770 -3,943 -5,202 -4,908 1990-2016 Injections 12 55 2,188 4,224 5,294 5,020 1990-2016 Withdrawals 4,406 2,112 1,418 281 92 113 1990-2016 Change in Working Gas from Same Period Previous Year Volume 3,391 4,649 5,247 7,840 10,497 12,277 1990-2016 Percent 28.0 52.9 58.5 76.0 81.6 76.8

  16. Nebraska Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    30,842 30,290 30,389 31,015 32,111 32,123 1990-2016 Base Gas 22,197 22,197 22,197 22,197 22,197 22,197 1990-2016 Working Gas 8,645 8,093 8,192 8,818 9,914 9,926 1990-2016 Net Withdrawals 1,788 549 -103 -630 -1,099 -16 1990-2016 Injections 442 589 741 1,108 404 1990-2016 Withdrawals 1,788 991 486 111 9 387 1990-2016 Change in Working Gas from Same Period Previous Year Volume -1,224 5 778 990 968 -359 1991-2016 Percent -12.4 0.1 10.5 12.6 10.8 -3.5

    4,850 34,850 34,850 34,850 34,850 34,850

  17. New Mexico Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    73,367 71,954 73,611 74,781 76,396 76,788 1990-2016 Base Gas 29,362 29,362 29,362 29,362 29,362 29,362 1990-2016 Working Gas 44,005 42,592 44,249 45,419 47,034 47,425 1990-2016 Net Withdrawals 1,568 1,413 -1,658 -1,170 -1,615 -391 1990-2016 Injections 104 382 1,901 1,256 1,750 906 1990-2016 Withdrawals 1,673 1,795 243 86 135 515 1990-2016 Change in Working Gas from Same Period Previous Year Volume 18,535 15,885 15,140 13,539 12,203 11,288 1990-2016 Percent 72.8 59.5 52.0 42.5 35.0 31.2

    80,000

  18. New York Underground Natural Gas Storage Capacity

    Gasoline and Diesel Fuel Update (EIA)

    202,549 188,208 183,548 185,119 196,365 203,711 1990-2016 Base Gas 114,956 114,913 114,853 114,603 114,779 114,826 1990-2016 Working Gas 87,594 73,296 68,695 70,516 81,586 88,885 1990-2016 Net Withdrawals 21,931 14,573 4,660 -1,571 -11,246 -7,422 1990-2016 Injections 351 2,066 5,092 7,990 11,932 9,211 1990-2016 Withdrawals 22,282 16,639 9,752 6,419 686 1,789 1990-2016 Change in Working Gas from Same Period Previous Year Volume 11,336 14,144 23,322 20,310 18,553 10,564 1990-2016 Percent 14.9 23.9

  19. Adjusted Estimates of Texas Natural Gas Production

    Reports and Publications (EIA)

    2005-01-01

    The Energy Information Administration (EIA) is adjusting its estimates of natural gas production in Texas for 2004 and 2005 to correctly account for carbon dioxide (CO2) production.

  20. How EIA Estimates Natural Gas Production

    Reports and Publications (EIA)

    2004-01-01

    The Energy Information Administration (EIA) publishes estimates monthly and annually of the production of natural gas in the United States. The estimates are based on data EIA collects from gas producing states and data collected by the U. S. Minerals Management Service (MMS) in the Department of Interior. The states and MMS collect this information from producers of natural gas for various reasons, most often for revenue purposes. Because the information is not sufficiently complete or timely for inclusion in EIA's Natural Gas Monthly (NGM), EIA has developed estimation methodologies to generate monthly production estimates that are described in this document.

  1. Huge natural gas reserves central to capacity work, construction plans in Iran

    SciTech Connect (OSTI)

    Not Available

    1994-07-11

    Questions about oil production capacity in Iran tend to mask the country's huge potential as a producer of natural gas. Iran is second only to Russia in gas reserves, which National Iranian Gas Co. estimates at 20.7 trillion cu m. Among hurdles to Iran's making greater use of its rich endowment of natural gas are where and how to sell gas not used inside the country. The marketing logistics problem is common to other Middle East holders of gas reserves and a reason behind the recent proliferation of proposals for pipeline and liquefied natural gas schemes targeting Europe and India. But Iran's challenges are greater than most in the region. Political uncertainties and Islamic rules complicate long-term financing of transportation projects and raise questions about security of supply. As a result, Iran has remained mostly in the background of discussions about international trade of Middle Eastern gas. The country's huge gas reserves, strategic location, and existing transport infrastructure nevertheless give it the potential to be a major gas trader if the other issues can be resolved. The paper discusses oil capacity plans, gas development, gas injection for enhanced oil recovery, proposals for exports of gas, and gas pipeline plans.

  2. New Methodology for Natural Gas Production Estimates

    Reports and Publications (EIA)

    2010-01-01

    A new methodology is implemented with the monthly natural gas production estimates from the EIA-914 survey this month. The estimates, to be released April 29, 2010, include revisions for all of 2009. The fundamental changes in the new process include the timeliness of the historical data used for estimation and the frequency of sample updates, both of which are improved.

  3. Pacific Region Natural Gas Total Underground Storage Capacity (Million

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

    Cubic Feet) Region Natural Gas Total Underground Storage Capacity (Million Cubic Feet) Pacific Region Natural Gas Total Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 676,176 676,176 676,176 676,176 676,176 676,176 676,176 676,176 676,176 676,176 676,176 676,176 2015 679,477 679,477 679,477 679,477 679,477 679,477 679,477 679,477 679,477 678,273 678,273 678,273 2016 678,273 678,273 678,273 678,273 678,273 678,273 - = No Data

  4. Midwest Region Natural Gas Total Underground Storage Capacity (Million

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

    Cubic Feet) Total Underground Storage Capacity (Million Cubic Feet) Midwest Region Natural Gas Total Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 2,721,231 2,721,231 2,721,231 2,721,231 2,721,231 2,721,231 2,721,231 2,721,231 2,721,231 2,723,336 2,725,497 2,725,535 2015 2,727,987 2,727,987 2,727,987 2,727,987 2,727,987 2,727,987 2,727,987 2,718,987 2,718,288 2,719,655 2,720,487 2,720,487 2016 2,720,487 2,720,487 2,720,487

  5. AGA Eastern Consuming Region Natural Gas Total Underground Storage Capacity

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

    (Million Cubic Feet) Total Underground Storage Capacity (Million Cubic Feet) AGA Eastern Consuming Region Natural Gas Total Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1994 4,737,921 4,727,501 4,727,501 4,727,501 4,727,501 4,727,501 4,727,501 4,727,501 4,727,446 4,727,446 4,727,446 4,727,509 1995 4,730,109 4,647,791 4,647,791 4,647,791 4,647,791 4,647,791 4,593,948 4,593,948 4,593,948 4,593,948 4,593,948 4,593,948 1996 4,593,948

  6. AGA Western Consuming Region Natural Gas Underground Storage Capacity

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

    (Million Cubic Feet) Capacity (Million Cubic Feet) AGA Western Consuming Region Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1994 1,226,103 1,232,392 1,232,392 1,232,392 1,232,392 1,232,392 1,232,392 1,232,392 1,232,392 1,232,392 1,232,392 1,232,392 1995 1,232,392 1,233,637 1,233,637 1,233,637 1,233,637 1,243,137 1,237,446 1,237,446 1,237,446 1,237,446 1,237,446 1,237,446 1996 1,237,446 1,237,446 1,237,446 1,237,446

  7. South Central Region Natural Gas Total Underground Storage Capacity

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

    (Million Cubic Feet) Total Underground Storage Capacity (Million Cubic Feet) South Central Region Natural Gas Total Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 2,578,946 2,577,866 2,578,498 2,578,547 2,590,575 2,599,184 2,611,335 2,616,178 2,612,570 2,613,746 2,635,148 2,634,993 2015 2,631,717 2,630,903 2,631,616 2,631,673 2,631,673 2,631,444 2,631,444 2,631,444 2,636,984 2,637,895 2,637,895 2,640,224 2016 2,634,512 2,644,516

  8. Underground Natural Gas Working Storage Capacity - U.S. Energy Information

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

    Administration Underground Natural Gas Working Storage Capacity With Data for November 2015 | Release Date: March 16, 2016 | Next Release Date: February 2017 Previous Issues Year: 2016 2015 2014 2013 2012 2011 prior issues Go Natural gas storage capacity nearly unchanged nationally, but regions vary U.S. natural gas working storage capacity (in terms of design capacity and demonstrated maximum working gas volumes) as of November 2015 was essentially flat compared to November 2014, with some

  9. Natural Gas Productive Capacity for the Lower-48 States 1985 - 2003

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

    Productive Capacity for the Lower-48 States 1985 - 2003 EIA Home > Natural Gas > Natural Gas Analysis Publications Natural Gas Productive Capacity for the Lower-48 States 1985 - 2003 Printer-Friendly Version gascapdata.xls ratiodata.xls wellcountdata.xls Executive Summary This analysis examines the availability of effective productive capacity to meet the projected wellhead demand for natural gas through 2003. Effective productive capacity is defined as the maximum production available

  10. Assessment of the Adequacy of Natural Gas Pipeline Capacity in the

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

    Northeast United States - November 2013 | Department of Energy Assessment of the Adequacy of Natural Gas Pipeline Capacity in the Northeast United States - November 2013 Assessment of the Adequacy of Natural Gas Pipeline Capacity in the Northeast United States - November 2013 In 2005-06, the Office of Electricity Delivery and Energy Reliability (OE) conducted a study on the adequacy of interstate natural gas pipeline capacity serving the northeastern United States to meet natural gas demand

  11. Methodologies for estimating one-time hazardous waste generation for capacity generation for capacity assurance planning

    SciTech Connect (OSTI)

    Tonn, B.; Hwang, Ho-Ling; Elliot, S.; Peretz, J.; Bohm, R.; Hendrucko, B.

    1994-04-01

    This report contains descriptions of methodologies to be used to estimate the one-time generation of hazardous waste associated with five different types of remediation programs: Superfund sites, RCRA Corrective Actions, Federal Facilities, Underground Storage Tanks, and State and Private Programs. Estimates of the amount of hazardous wastes generated from these sources to be shipped off-site to commercial hazardous waste treatment and disposal facilities will be made on a state by state basis for the years 1993, 1999, and 2013. In most cases, estimates will be made for the intervening years, also.

  12. Estimates of emergency operating capacity in US manufacturing and nonmanufacturing industries - Volume 1: Concepts and Methodology

    SciTech Connect (OSTI)

    Belzer, D.B. ); Serot, D.E. ); Kellogg, M.A. )

    1991-03-01

    Development of integrated mobilization preparedness policies requires planning estimates of available productive capacity during national emergency conditions. Such estimates must be developed in a manner to allow evaluation of current trends in capacity and the consideration of uncertainties in various data inputs and in engineering assumptions. This study developed estimates of emergency operating capacity (EOC) for 446 manufacturing industries at the 4-digit Standard Industrial Classification (SIC) level of aggregation and for 24 key nonmanufacturing sectors. This volume lays out the general concepts and methods used to develop the emergency operating estimates. The historical analysis of capacity extends from 1974 through 1986. Some nonmanufacturing industries are included. In addition to mining and utilities, key industries in transportation, communication, and services were analyzed. Physical capacity and efficiency of production were measured. 3 refs., 2 figs., 12 tabs. (JF)

  13. Buildings Greenhouse Gas Mitigation Estimator Worksheet | Department of

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

    Energy Buildings Greenhouse Gas Mitigation Estimator Worksheet Buildings Greenhouse Gas Mitigation Estimator Worksheet Excel tool helps agencies estimate the greenhouse gas (GHG) mitigation reduction from implementing energy efficiency measures across a portfolio of buildings. It is designed to be applied to groups of office buildings. For example, at a program level (regional or site) that can be summarized at the agency level. While the default savings and cost estimates apply to office

  14. Estimates of emergency operating capacity in US manufacturing and nonmanufacturing industries

    SciTech Connect (OSTI)

    Belzer, D.B. ); Serot, D.E. ); Kellogg, M.A. )

    1991-03-01

    Development of integrated mobilization preparedness policies requires planning estimates of available productive capacity during national emergency conditions. Such estimates must be developed in a manner that allows evaluation of current trends in capacity and the consideration of uncertainties in various data inputs and in engineering assumptions. This study, conducted by Pacific Northwest Laboratory (PNL), developed estimates of emergency operating capacity (EOC) for 446 manufacturing industries at the 4-digit Standard Industrial Classification (SIC) level of aggregation and for 24 key non-manufacturing sectors. This volume presents tabular and graphical results of the historical analysis and projections for each SIC industry. (JF)

  15. Natural gas productive capacity for the lower 48 States, 1980 through 1995

    SciTech Connect (OSTI)

    Not Available

    1994-07-14

    The purpose of this report is to analyze monthly natural gas wellhead productive capacity in the lower 48 States from 1980 through 1992 and project this capacity from 1993 through 1995. For decades, natural gas supplies and productive capacity have been adequate to meet demand. In the 1970`s the capacity surplus was small because of market structure (split between interstate and intrastate), increasing demand, and insufficient drilling. In the early 1980`s, lower demand, together with increased drilling, led to a large surplus capacity as new productive capacity came on line. After 1986, this large surplus began to decline as demand for gas increased, gas prices fell, and gas well completions dropped sharply. In late December 1989, the decline in this surplus, accompanied by exceptionally high demand and temporary weather-related production losses, led to concerns about the adequacy of monthly productive capacity for natural gas. These concerns should have been moderated by the gas system`s performance during the unusually severe winter weather in March 1993 and January 1994. The declining trend in wellhead productive capacity is expected to be reversed in 1994 if natural gas prices and drilling meet or exceed the base case assumption. This study indicates that in the low, base, and high drilling cases, monthly productive capacity should be able to meet normal production demands through 1995 in the lower 48 States (Figure ES1). Exceptionally high peak-day or peak-week production demand might not be met because of physical limitations such as pipeline capacity. Beyond 1995, as the capacity of currently producing wells declines, a sufficient number of wells and/or imports must be added each year in order to ensure an adequate gas supply.

  16. ,"New York Natural Gas Underground Storage Capacity (MMcf)"

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

    ...","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Underground Storage ... 8:29:33 AM" "Back to Contents","Data 1: New York Natural Gas Underground Storage ...

  17. ,"New Mexico Natural Gas Underground Storage Capacity (MMcf)...

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

    ...","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Underground Storage ... 8:29:32 AM" "Back to Contents","Data 1: New Mexico Natural Gas Underground Storage ...

  18. Revision Policy for EIA Weekly Underground Natural Gas Storage Estimates

    Weekly Natural Gas Storage Report (EIA)

    Revision Policy for EIA Weekly Underground Natural Gas Storage Estimates Latest Update: November 16, 2015 This report consists of the following sections: General EIA Weekly Natural Gas Storage Report Revisions Policy - a description of how revisions to the Weekly Natural Gas Storage Report estimates may occur EIA Weekly Natural Gas Storage Report Policy to Allow Unscheduled Release of Revisions - a description of the policy that will be implemented in the event of an out-of-cycle release

  19. ,"New Mexico Dry Natural Gas Reserves Estimated Production (Billion...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2013...

  20. ,"Texas Dry Natural Gas Reserves Estimated Production (Billion...

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2013...

  1. Using Pressure and Volumetric Approaches to Estimate CO2 Storage Capacity in Deep Saline Aquifers

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

    Thibeau, Sylvain; Bachu, Stefan; Birkholzer, Jens; Holloway, Sam; Neele, Filip; Zhou, Quanlin

    2014-12-31

    Various approaches are used to evaluate the capacity of saline aquifers to store CO2, resulting in a wide range of capacity estimates for a given aquifer. The two approaches most used are the volumetric “open aquifer” and “closed aquifer” approaches. We present four full-scale aquifer cases, where CO2 storage capacity is evaluated both volumetrically (with “open” and/or “closed” approaches) and through flow modeling. These examples show that the “open aquifer” CO2 storage capacity estimation can strongly exceed the cumulative CO2 injection from the flow model, whereas the “closed aquifer” estimates are a closer approximation to the flow-model derived capacity. Anmore » analogy to oil recovery mechanisms is presented, where the primary oil recovery mechanism is compared to CO2 aquifer storage without producing formation water; and the secondary oil recovery mechanism (water flooding) is compared to CO2 aquifer storage performed simultaneously with extraction of water for pressure maintenance. This analogy supports the finding that the “closed aquifer” approach produces a better estimate of CO2 storage without water extraction, and highlights the need for any CO2 storage estimate to specify whether it is intended to represent CO2 storage capacity with or without water extraction.« less

  2. Using Pressure and Volumetric Approaches to Estimate CO2 Storage Capacity in Deep Saline Aquifers

    SciTech Connect (OSTI)

    Thibeau, Sylvain; Bachu, Stefan; Birkholzer, Jens; Holloway, Sam; Neele, Filip; Zhou, Quanlin

    2014-12-31

    Various approaches are used to evaluate the capacity of saline aquifers to store CO2, resulting in a wide range of capacity estimates for a given aquifer. The two approaches most used are the volumetric open aquifer and closed aquifer approaches. We present four full-scale aquifer cases, where CO2 storage capacity is evaluated both volumetrically (with open and/or closed approaches) and through flow modeling. These examples show that the open aquifer CO2 storage capacity estimation can strongly exceed the cumulative CO2 injection from the flow model, whereas the closed aquifer estimates are a closer approximation to the flow-model derived capacity. An analogy to oil recovery mechanisms is presented, where the primary oil recovery mechanism is compared to CO2 aquifer storage without producing formation water; and the secondary oil recovery mechanism (water flooding) is compared to CO2 aquifer storage performed simultaneously with extraction of water for pressure maintenance. This analogy supports the finding that the closed aquifer approach produces a better estimate of CO2 storage without water extraction, and highlights the need for any CO2 storage estimate to specify whether it is intended to represent CO2 storage capacity with or without water extraction.

  3. Mountain Region Natural Gas Total Underground Storage Capacity...

    Gasoline and Diesel Fuel Update (EIA)

    Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 904,787 904,787 904,787 904,787 904,787 904,787 909,887 912,887 912,887...

  4. Mountain Region Natural Gas Working Underground Storage Capacity...

    Gasoline and Diesel Fuel Update (EIA)

    Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 461,243 461,243 461,243 461,243 461,243 461,243 461,243 464,435 464,435...

  5. Pacific Region Natural Gas Working Underground Storage Capacity...

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

    Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2014 414,831 414,831 414,831 414,831 414,831 414,831 414,831 414,831 414,831...

  6. Assessment of Factors Influencing Effective CO{sub 2} Storage Capacity and Injectivity in Eastern Gas Shales

    SciTech Connect (OSTI)

    Godec, Michael

    2013-06-30

    -level characterizations for the CO{sub 2} storage capacity and injectivity potential of the targeted eastern shales. In total, these Eastern gas shales cover an area of over 116 million acres, may contain an estimated 6,000 trillion cubic feet (Tcf) of gas in place, and have a maximum theoretical storage capacity of over 600 million metric tons. Not all of this gas in-place will be recoverable, and economics will further limit how much will be economic to produce using EGR techniques with CO{sub 2} injection. Reservoir models were developed and simulations were conducted to characterize the potential for both CO{sub 2} storage and EGR for the target gas shale formations. Based on that, engineering costing and cash flow analyses were used to estimate economic potential based on future natural gas prices and possible financial incentives. The objective was to assume that EGR and CO{sub 2} storage activities would commence consistent with the historical development practices. Alternative CO{sub 2} injection/EGR scenarios were considered and compared to well production without CO{sub 2} injection. These simulations were conducted for specific, defined model areas in each shale gas play. The resulting outputs were estimated recovery per typical well (per 80 acres), and the estimated CO{sub 2} that would be injected and remain in the reservoir (i.e., not produced), and thus ultimately assumed to be stored. The application of this approach aggregated to the entire area of the four shale gas plays concluded that they contain nearly 1,300 Tcf of both primary production and EGR potential, of which an estimated 460 Tcf could be economic to produce with reasonable gas prices and/or modest incentives. This could facilitate the storage of nearly 50 Gt of CO{sub 2} in the Marcellus, Utica, Antrim, and Devonian Ohio shales.

  7. Additions to Capacity on the U.S. Natural Gas Pipeline Network: 2007

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

    Energy Information Administration, Office of Oil and Gas, July 2008 1 U.S. natural gas pipeline construction activity accelerated in 2007 with capacity additions to the grid totaling nearly 14.9 billion cubic feet (Bcf) of daily deliverability (Figure 1). These additions were the largest of any year in the Energy Information Administration's (EIA) 10-year database of pipeline construction activity. The increased level of natural gas pipeline construction activity in 2007 conformed to a growth

  8. Table 17. Estimated natural gas plant liquids and dry natural gas content of tot

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

    Estimated natural gas plant liquids and dry natural gas content of total natural gas proved reserves, 2014" "million barrels and billion cubic feet" ,"Total Wet Natural Gas Proved Reserves",,,,"Estimated content of proved reserves" " State and Subdivision",,2014,,,"Natural Gas Plant Liquids",,"Dry Natural Gas" ,,"billion cubic feet",,,"million barrels",,"billion cubic feet"

  9. Maryland Natural Gas Underground Storage Capacity (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    from All Countries (Million Cubic Feet) Maryland Natural Gas Imports from All Countries (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0 2000's 0 0 0 66,078 209,294 221,689 116,613 148,231 25,894 72,339 2010's 43,431 13,981 2,790 5,366 11,585 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 8/31/2016 Next Release Date: 9/30/2016 Referring Pages:

  10. Illinois Natural Gas Underground Storage Capacity (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Total Consumption (Million Cubic Feet) Illinois Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 1,077,139 957,254 1,004,281 2000's 1,030,604 951,616 1,049,878 998,486 953,207 969,642 893,997 965,591 1,000,501 956,068 2010's 966,678 986,867 940,367 1,056,826 1,092,999 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  11. Iowa Natural Gas Underground Storage Capacity (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Price (Dollars per Thousand Cubic Feet) Iowa Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.17 0.16 0.17 1970's 0.17 0.19 0.20 0.22 0.26 0.34 0.52 0.73 0.99 1.17 1980's 1.55 1.89 2.50 2.73 2.71 2.83 2.57 2.75 2.01 2.02 1990's 1.52 1.54 1.71 1.25 1.39 1.40 2.37 2.46 2.06 2.16 2000's 3.17 3.60 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not

  12. A Dynamic Programming Approach to Estimate the Capacity Value of Energy Storage

    Broader source: Energy.gov [DOE]

    We present a method to estimate the capacity value of storage. Our method uses a dynamic program to model the effect of power system outages on the operation and state of charge of storage in subsequent periods. We combine the optimized dispatch from the dynamic program with estimated system loss of load probabilities to compute a probability distribution for the state of charge of storage in each period. This probability distribution can be used as a forced outage rate for storage in standard reliability-based capacity value estimation methods. Our proposed method has the advantage over existing approximations that it explicitly captures the effect of system shortage events on the state of charge of storage in subsequent periods. We also use a numerical case study, based on five utility systems in the U.S., to demonstrate our technique and compare it to existing approximation methods.

  13. U.S. Working Natural Gas Underground Storage Acquifers Capacity (Million

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

    Cubic Feet) Acquifers Capacity (Million Cubic Feet) U.S. Working Natural Gas Underground Storage Acquifers Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 396,950 396,092 2010's 364,228 363,521 367,108 453,054 452,044 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 08/31/2016 Next Release Date: 09/30/2016 Referring Pages: Working Gas

  14. Methodology for EIA Weekly Underground Natural Gas Storage Estimates

    Weekly Natural Gas Storage Report (EIA)

    Methodology for EIA Weekly Underground Natural Gas Storage Estimates Latest Update: November 16, 2015 This report consists of the following sections: Survey and Survey Processing - a description of the survey and an overview of the program Sampling - a description of the selection process used to identify companies in the survey Estimation - how the regional estimates are prepared from the collected data Computing the Five-year Averages, Maxima, Minima, and Year-Ago Values for the Weekly Natural

  15. AGA totes up new U. S. gas-pipeline mileage, storage capacity

    SciTech Connect (OSTI)

    Not Available

    1994-07-04

    More than 8,000 miles of new US natural-gas transmission line or pipeline looping have been built, are under construction, or are proposed in 1993--94, the American Gas Association, Arlington, Va., states in its latest annual report on new construction. Additionally, AGA lists 47 proposed natural-gas storage projects in various stages of development to add more than 500 bcf of working-gas storage capacity and, if constructed, would increase total US working-gas storage capacity by nearly 20%. Throughout 1993 and 1994, more than $9 billion of new gas-pipeline construction projects have been in various stages of development. AGA classifies these projects as either built in 1993 or 1994 and operational, or currently under construction, or proposed and pending. In aggregate, the projects total 8,087 miles of new pipeline and pipeline looping, 1,098,940 hp of additional compression, and 15.3 bcfd of additional capacity. A table shows the regional breakout.

  16. Status of Natural Gas Pipeline System Capacity Entering the 2000-2001 Heating Season

    Reports and Publications (EIA)

    2000-01-01

    This special report looks at the capabilities of the national natural gas pipeline network in 2000 and provides an assessment of the current levels of available capacity to transport supplies from production areas to markets throughout the United States during the upcoming heating season. It also examines how completion of currently planned expansion projects and proposed new pipelines would affect the network.

  17. Estimating the supply and demand for deep geologic CO2 storage capacity over the course of the 21st Century: A meta-analysis of the literature

    SciTech Connect (OSTI)

    Dooley, James J.

    2013-08-05

    Whether there is sufficient geologic CO2 storage capacity to allow CCS to play a significant role in mitigating climate change has been the subject of debate since the 1990s. This paper presents a meta- analysis of a large body of recently published literature to derive updated estimates of the global deep geologic storage resource as well as the potential demand for this geologic CO2 storage resource over the course of this century. This analysis reveals that, for greenhouse gas emissions mitigation scenarios that have end-of-century atmospheric CO2 concentrations of between 350 ppmv and 725 ppmv, the average demand for deep geologic CO2 storage over the course of this century is between 410 GtCO2 and 1,670 GtCO2. The literature summarized here suggests that -- depending on the stringency of criteria applied to calculate storage capacity global geologic CO2 storage capacity could be: 35,300 GtCO2 of theoretical capacity; 13,500 GtCO2 of effective capacity; 3,900 GtCO2, of practical capacity; and 290 GtCO2 of matched capacity for the few regions where this narrow definition of capacity has been calculated. The cumulative demand for geologic CO2 storage is likely quite small compared to global estimates of the deep geologic CO2 storage capacity, and therefore, a lack of deep geologic CO2 storage capacity is unlikely to be an impediment for the commercial adoption of CCS technologies in this century.

  18. ,"Alabama Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290al2m.xls"

  19. ,"Alaska Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File

  20. ,"Arkansas Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290ar2m.xls"

  1. ,"California Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290ca2m.xls"

  2. ,"Colorado Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290co2m.xls"

  3. ,"Illinois Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290il2m.xls"

  4. ,"Indiana Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290in2m.xls"

  5. ,"Iowa Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Iowa Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290ia2m.xls"

  6. ,"Kentucky Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290ky2m.xls"

  7. ,"Louisiana Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290la2m.xls"

  8. ,"Maryland Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290md2m.xls"

  9. ,"Michigan Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290mi2m.xls"

  10. ,"Mississippi Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290ms2m.xls"

  11. ,"Missouri Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290mo2m.xls"

  12. ,"Montana Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290mt2m.xls"

  13. ,"Nebraska Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290ne2m.xls"

  14. ,"Ohio Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290oh2m.xls"

  15. ,"Oregon Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290or2m.xls"

  16. ,"Pennsylvania Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290pa2m.xls"

  17. ,"Tennessee Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290tn2m.xls"

  18. ,"Utah Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290ut2m.xls"

  19. ,"Washington Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290wa2m.xls"

  20. ,"Wyoming Natural Gas Underground Storage Capacity (MMcf)"

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

    Capacity (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Underground Storage Capacity (MMcf)",1,"Monthly","6/2016" ,"Release Date:","8/31/2016" ,"Next Release Date:","9/30/2016" ,"Excel File Name:","n5290wy2m.xls"

  1. U.S. Natural Gas Number of Underground Storage Acquifers Capacity (Number

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

    of Elements) Acquifers Capacity (Number of Elements) U.S. Natural Gas Number of Underground Storage Acquifers Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 49 2000's 49 39 38 43 43 44 44 43 43 43 2010's 43 43 44 47 46 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 08/31/2016 Next Release Date: 09/30/2016 Referring Pages: Number of

  2. U.S. Natural Gas Number of Underground Storage Depleted Fields Capacity

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

    (Number of Elements) Depleted Fields Capacity (Number of Elements) U.S. Natural Gas Number of Underground Storage Depleted Fields Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 335 2000's 336 351 340 318 320 320 322 326 324 331 2010's 331 329 330 332 333 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 08/31/2016 Next Release Date:

  3. U.S. Natural Gas Number of Underground Storage Salt Caverns Capacity

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

    (Number of Elements) Salt Caverns Capacity (Number of Elements) U.S. Natural Gas Number of Underground Storage Salt Caverns Capacity (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 29 2000's 28 28 29 30 30 30 31 31 34 35 2010's 37 38 40 40 39 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 08/31/2016 Next Release Date: 09/30/2016 Referring Pages:

  4. U.S. Working Natural Gas Underground Storage Depleted Fields Capacity

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

    (Million Cubic Feet) Depleted Fields Capacity (Million Cubic Feet) U.S. Working Natural Gas Underground Storage Depleted Fields Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 3,583,786 3,659,968 2010's 3,733,993 3,769,113 3,720,980 3,839,852 3,844,927 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 08/31/2016 Next Release Date:

  5. U.S. Working Natural Gas Underground Storage Salt Caverns Capacity (Million

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

    Cubic Feet) Salt Caverns Capacity (Million Cubic Feet) U.S. Working Natural Gas Underground Storage Salt Caverns Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 230,456 271,785 2010's 312,003 351,017 488,268 455,729 488,698 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 08/31/2016 Next Release Date: 09/30/2016 Referring Pages: Working

  6. Estimating Externalities of Natural Gas Fuel Cycles, Report 4

    SciTech Connect (OSTI)

    Barnthouse, L.W.; Cada, G.F.; Cheng, M.-D.; Easterly, C.E.; Kroodsma, R.L.; Lee, R.; Shriner, D.S.; Tolbert, V.R.; Turner, R.S.

    1998-01-01

    This report describes methods for estimating the external costs (and possibly benefits) to human health and the environment that result from natural gas fuel cycles. Although the concept of externalities is far from simple or precise, it generally refers to effects on individuals' well being, that result from a production or market activity in which the individuals do not participate, or are not fully compensated. In the past two years, the methodological approach that this report describes has quickly become a worldwide standard for estimating externalities of fuel cycles. The approach is generally applicable to any fuel cycle in which a resource, such as coal, hydro, or biomass, is used to generate electric power. This particular report focuses on the production activities, pollution, and impacts when natural gas is used to generate electric power. In the 1990s, natural gas technologies have become, in many countries, the least expensive to build and operate. The scope of this report is on how to estimate the value of externalities--where value is defined as individuals' willingness to pay for beneficial effects, or to avoid undesirable ones. This report is about the methodologies to estimate these externalities, not about how to internalize them through regulations or other public policies. Notwithstanding this limit in scope, consideration of externalities can not be done without considering regulatory, insurance, and other considerations because these institutional factors affect whether costs (and benefits) are in fact external, or whether they are already somehow internalized within the electric power market. Although this report considers such factors to some extent, much analysis yet remains to assess the extent to which estimated costs are indeed external. This report is one of a series of reports on estimating the externalities of fuel cycles. The other reports are on the coal, oil, biomass, hydro, and nuclear fuel cycles, and on general methodology.

  7. Kentucky Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

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

    Estimated Production (Billion Cubic Feet) Kentucky Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 48 52 49 1980's 60 52 44 38 54 53 56 58 60 65 1990's 62 78 61 66 64 67 58 79 63 59 2000's 67 73 79 78 83 85 66 80 93 108 2010's 96 101 83 81 70 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next

  8. Mississippi Dry Natural Gas Reserves Estimated Production (Billion Cubic

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

    Feet) Estimated Production (Billion Cubic Feet) Mississippi Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 88 121 154 1980's 170 196 198 159 181 151 165 178 181 155 1990's 141 143 109 111 82 91 88 93 79 79 2000's 78 94 98 94 93 86 83 100 110 100 2010's 87 75 64 61 54 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  9. Montana Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

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

    Estimated Production (Billion Cubic Feet) Montana Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 49 44 47 1980's 61 86 45 49 46 49 42 42 60 43 1990's 48 48 52 50 49 51 52 55 51 41 2000's 67 73 77 86 95 100 117 112 114 113 2010's 93 75 65 62 58 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015

  10. Pennsylvania Dry Natural Gas Reserves Estimated Production (Billion Cubic

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

    Feet) Estimated Production (Billion Cubic Feet) Pennsylvania Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 52 69 117 1980's 68 94 102 121 134 123 116 128 162 136 1990's 160 140 139 138 141 113 132 129 131 130 2000's 117 114 133 165 155 181 176 183 211 273 2010's 591 1,248 2,241 3,283 4,197 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  11. Alabama Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

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

    Estimated Production (Billion Cubic Feet) Alabama Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 24 42 46 1980's 64 85 1990's 104 146 256 281 391 360 373 376 394 376 2000's 359 345 365 350 327 300 287 274 257 254 2010's 223 218 214 175 176 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next

  12. Alaska Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

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

    Estimated Production (Billion Cubic Feet) Alaska Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 206 216 228 1980's 213 235 261 273 324 312 324 349 400 401 1990's 339 353 414 393 423 396 446 475 513 459 2000's 506 461 460 478 478 469 408 388 354 358 2010's 317 327 299 285 304 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  13. Arkansas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

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

    Estimated Production (Billion Cubic Feet) Arkansas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 109 120 100 1980's 117 121 158 206 188 175 123 129 159 166 1990's 164 173 204 188 186 182 200 189 170 163 2000's 154 160 157 166 170 174 188 269 456 698 2010's 951 1,079 1,151 1,140 1,142 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  14. California Dry Natural Gas Reserves Estimated Production (Billion Cubic

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

    Feet) Estimated Production (Billion Cubic Feet) California Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 301 313 347 1980's 294 372 345 335 306 1990's 293 308 285 252 244 216 217 212 246 266 2000's 282 336 291 265 247 268 255 253 237 239 2010's 243 311 200 188 176 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  15. Utah Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

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

    Estimated Production (Billion Cubic Feet) Utah Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 62 58 54 1980's 61 79 87 68 76 73 60 60 40 64 1990's 71 81 111 165 184 165 180 177 216 220 2000's 226 288 286 278 282 308 349 365 417 447 2010's 432 449 478 456 433 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  16. Systems, methods and computer readable media for estimating capacity loss in rechargeable electrochemical cells

    SciTech Connect (OSTI)

    Gering, Kevin L.

    2013-06-18

    A system includes an electrochemical cell, monitoring hardware, and a computing system. The monitoring hardware periodically samples charge characteristics of the electrochemical cell. The computing system periodically determines cell information from the charge characteristics of the electrochemical cell. The computing system also periodically adds a first degradation characteristic from the cell information to a first sigmoid expression, periodically adds a second degradation characteristic from the cell information to a second sigmoid expression and combines the first sigmoid expression and the second sigmoid expression to develop or augment a multiple sigmoid model (MSM) of the electrochemical cell. The MSM may be used to estimate a capacity loss of the electrochemical cell at a desired point in time and analyze other characteristics of the electrochemical cell. The first and second degradation characteristics may be loss of active host sites and loss of free lithium for Li-ion cells.

  17. U.S. Natural Gas Underground Storage Acquifers Capacity (Million Cubic

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

    Feet) Acquifers Capacity (Million Cubic Feet) U.S. Natural Gas Underground Storage Acquifers Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 1,263,106 2000's 1,263,711 1,195,141 1,234,007 1,237,132 1,238,158 1,350,689 1,356,323 1,347,516 1,351,832 1,340,633 2010's 1,233,017 1,231,897 1,237,269 1,443,769 1,445,031 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  18. U.S. Natural Gas Underground Storage Depleted Fields Capacity (Million

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

    Cubic Feet) Depleted Fields Capacity (Million Cubic Feet) U.S. Natural Gas Underground Storage Depleted Fields Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 6,780,700 2000's 6,788,130 6,768,622 6,747,108 6,733,983 6,776,894 6,667,222 6,711,656 6,801,291 6,805,490 6,917,547 2010's 7,074,773 7,104,948 7,038,245 7,074,916 7,085,773 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure

  19. U.S. Natural Gas Underground Storage Salt Caverns Capacity (Million Cubic

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

    Feet) Salt Caverns Capacity (Million Cubic Feet) U.S. Natural Gas Underground Storage Salt Caverns Capacity (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 185,451 2000's 189,043 218,483 225,958 234,601 239,990 250,532 261,988 253,410 341,213 397,560 2010's 456,009 512,279 715,821 654,266 702,548 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  20. Louisiana Dry Natural Gas Reserves Estimated Production (Billion Cubic

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

    Feet) Estimated Production (Billion Cubic Feet) Louisiana Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,482 1,741 1,625 1,691 1,687 1990's 1,596 1,527 1,494 1,457 1,453 1,403 1,521 1,496 1,403 1,421 2000's 1,443 1,479 1,338 1,280 1,322 1,206 1,309 1,257 1,319 1,544 2010's 2,189 2,985 3,057 2,344 1,960 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  1. Wyoming Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

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

    Estimated Production (Billion Cubic Feet) Wyoming Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 315 329 355 1980's 416 423 391 414 484 433 402 456 510 591 1990's 583 639 714 713 780 806 782 891 838 1,213 2000's 1,070 1,286 1,388 1,456 1,524 1,642 1,695 1,825 2,026 2,233 2010's 2,218 2,088 2,001 1,992 1,718 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  2. Colorado Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

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

    Estimated Production (Billion Cubic Feet) Colorado Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 174 167 156 1980's 163 165 196 156 171 166 188 159 188 220 1990's 229 282 320 387 447 514 540 562 676 719 2000's 759 882 964 1,142 1,050 1,104 1,174 1,326 1,441 1,524 2010's 1,590 1,694 1,681 1,527 1,561 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  3. Florida Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

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

    Estimated Production (Billion Cubic Feet) Florida Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 36 39 36 1980's 32 27 20 18 11 8 8 7 5 7 1990's 7 4 7 6 7 6 5 6 5 5 2000's 6 5 4 3 3 2 2 4 3 0 2010's 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

  4. Texas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

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

    Estimated Production (Billion Cubic Feet) Texas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 5,567 5,151 4,620 4,517 4,590 4,568 1990's 4,478 4,480 4,545 4,645 4,775 4,724 4,889 4,942 4,855 4,897 2000's 5,072 5,138 5,038 5,166 5,318 5,424 5,608 6,263 7,009 7,017 2010's 6,974 7,139 7,570 7,607 7,877 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  5. Estimating the potential of greenhouse gas mitigation in Kazakhstan

    SciTech Connect (OSTI)

    Monacrovich, E.; Pilifosova, O.; Danchuck, D.

    1996-09-01

    As part of the studies related to the obligations of the UN Framework Convention on Climate Change, the Republic of Kazakhstan started activities to inventory greenhouse gas (GHG) emissions and assess of GHG mitigation options, The objective of this paper is to present an estimate of the possibility of mitigating GHG emissions and determine the mitigation priorities. It presents a compilation of the possible options and their assessment in terms of major criteria and implementation feasibility. Taking into account the structure of GHG emissions in Kazakhstan in 1990, preliminary estimates of the potential for mitigation are presented for eight options for the energy sector and agriculture and forestry sector. The reference scenario prepared by expert assessments assumes a reduction of CO{sub 2} emissions in 1996-1998 by about 26% from the 1990 level due to general economic decline, but then emissions increase. It is estimated that the total potential for the mitigation of CO{sub 2} emissions for the year 2000 is 3% of the CO{sub 2} emissions in the reference scenario. The annual reduction in methane emissions due to the estimated options can amount to 5%-6% of the 1990 level. 10 refs., 1 fig., 4 tabs.

  6. “Assessment of the Adequacy of Natural Gas Pipeline Capacity in the Northeast United States” Report Now Available

    Broader source: Energy.gov [DOE]

    In 2013, OE conducted an assessment to determine how changes to the Northeast gas market may have affected the ability of the interstate pipeline system to meet natural gas demand for “essential human needs” in the event of a disruption in pipeline capacity.

  7. EIA - Analysis of Natural Gas Storage

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

    Prices This presentation provides information about EIA's estimates of working gas peak storage capacity, and the development of the natural gas storage industry....

  8. Oklahoma Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

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

    Estimated Production (Billion Cubic Feet) Oklahoma Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,691 1,667 1,592 1980's 1,526 1,700 1,636 1,544 1,778 1,686 1,658 1,813 1,896 1,983 1990's 2,058 1,983 1,895 1,770 1,721 1,562 1,580 1,555 1,544 1,308 2000's 1,473 1,481 1,518 1,554 1,563 1,587 1,601 1,659 1,775 1,790 2010's 1,703 1,697 1,763 1,890 2,123 - = No Data Reported; -- = Not Applicable;

  9. Types of Possible Survey Errors in Estimates Published in the Weekly Natural Gas Storage Report

    Weekly Natural Gas Storage Report (EIA)

    U.S. Energy Information Administration | Types of Possible Survey Errors in Estimates Published in the Weekly Natural Gas Storage Report 1 February 2016 Types of Possible Survey Errors in Estimates Published in the Weekly Natural Gas Storage Report The U.S. Energy Information Administration (EIA) collects and publishes natural gas storage information on a monthly and weekly basis. The Form EIA-191, Monthly Underground Natural Gas Storage Report, is a census survey that collects field-level

  10. The Greenhouse Gas Protocol Initiative: Measurement and Estimation...

    Open Energy Info (EERE)

    GHG Emissions AgencyCompany Organization: World Resources Institute, World Business Council for Sustainable Development Sector: Energy, Climate Focus Area: Greenhouse Gas Phase:...

  11. Primer on gas integrated resource planning

    SciTech Connect (OSTI)

    Goldman, C.; Comnes, G.A.; Busch, J.; Wiel, S.

    1993-12-01

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

  12. Estimating household fuel oil/kerosine, natural gas, and LPG prices by census region

    SciTech Connect (OSTI)

    Poyer, D.A.; Teotia, A.P.S.

    1994-08-01

    The purpose of this research is to estimate individual fuel prices within the residential sector. The data from four US Department of Energy, Energy Information Administration, residential energy consumption surveys were used to estimate the models. For a number of important fuel types - fuel oil, natural gas, and liquefied petroleum gas - the estimation presents a problem because these fuels are not used by all households. Estimates obtained by using only data in which observed fuel prices are present would be biased. A correction for this self-selection bias is needed for estimating prices of these fuels. A literature search identified no past studies on application of the selectivity model for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas. This report describes selectivity models that utilize the Dubin/McFadden correction method for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas in the Northeast, Midwest, South, and West census regions. Statistically significant explanatory variables are identified and discussed in each of the models. This new application of the selectivity model should be of interest to energy policy makers, researchers, and academicians.

  13. Estimation of Gas Leak Rates Through Very Small Orifices

    Office of Scientific and Technical Information (OSTI)

    ... n i c v e l o c i t y ; o r i n o t h e r words: f o r c r i t i c a l o r choked f l o w ... 1700F. The composition of the gas is known to be a mixture of helium and water vapor. ...

  14. Remotely estimating photosynthetic capacity, and its response to temperature, in vegetation canopies using imaging spectroscopy

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

    Serbin, Shawn P.; Singh, Aditya; Desai, Ankur R.; Dubois, Sean G.; Jablonski, Andrew D.; Kingdon, Clayton C.; Kruger, Eric L.; Townsend, Philip A.

    2015-06-11

    To date, the utility of ecosystem and Earth system models (EESMs) has been limited by poor spatial and temporal representation of critical input parameters. For example, EESMs often rely on leaf-scale or literature-derived estimates for a key determinant of canopy photosynthesis, the maximum velocity of RuBP carboxylation (Vcmax, μmol m–2 s–1). Our recent work (Ainsworth et al., 2014; Serbin et al., 2012) showed that reflectance spectroscopy could be used to estimate Vcmax at the leaf level. Here, we present evidence that imaging spectroscopy data can be used to simultaneously predict Vcmax and its sensitivity to temperature (EV) at the canopymore » scale. In 2013 and 2014, high-altitude Airborne Visible/Infrared Imaging Spectroscopy (AVIRIS) imagery and contemporaneous ground-based assessments of canopy structure and leaf photosynthesis were acquired across an array of monospecific agroecosystems in central and southern California, USA. A partial least-squares regression (PLSR) modeling approach was employed to characterize the pixel-level variation in canopy Vcmax (at a standardized canopy temperature of 30 °C) and EV, based on visible and shortwave infrared AVIRIS spectra (414–2447 nm). Our approach yielded parsimonious models with strong predictive capability for Vcmax (at 30 °C) and EV (R2 of withheld data = 0.94 and 0.92, respectively), both of which varied substantially in the field (≥ 1.7 fold) across the sampled crop types. The models were applied to additional AVIRIS imagery to generate maps of Vcmax and EV, as well as their uncertainties, for agricultural landscapes in California. The spatial patterns exhibited in the maps were consistent with our in-situ observations. As a result, these findings highlight the considerable promise of airborne and, by implication, space-borne imaging spectroscopy, such as the proposed HyspIRI mission, to map spatial and temporal variation in key drivers of photosynthetic metabolism in terrestrial vegetation.« less

  15. Remotely estimating photosynthetic capacity, and its response to temperature, in vegetation canopies using imaging spectroscopy

    SciTech Connect (OSTI)

    Serbin, Shawn P.; Singh, Aditya; Desai, Ankur R.; Dubois, Sean G.; Jablonski, Andrew D.; Kingdon, Clayton C.; Kruger, Eric L.; Townsend, Philip A.

    2015-06-11

    To date, the utility of ecosystem and Earth system models (EESMs) has been limited by poor spatial and temporal representation of critical input parameters. For example, EESMs often rely on leaf-scale or literature-derived estimates for a key determinant of canopy photosynthesis, the maximum velocity of RuBP carboxylation (Vcmax, ?mol m2 s1). Our recent work (Ainsworth et al., 2014; Serbin et al., 2012) showed that reflectance spectroscopy could be used to estimate Vcmax at the leaf level. Here, we present evidence that imaging spectroscopy data can be used to simultaneously predict Vcmax and its sensitivity to temperature (EV) at the canopy scale. In 2013 and 2014, high-altitude Airborne Visible/Infrared Imaging Spectroscopy (AVIRIS) imagery and contemporaneous ground-based assessments of canopy structure and leaf photosynthesis were acquired across an array of monospecific agroecosystems in central and southern California, USA. A partial least-squares regression (PLSR) modeling approach was employed to characterize the pixel-level variation in canopy Vcmax (at a standardized canopy temperature of 30 C) and EV, based on visible and shortwave infrared AVIRIS spectra (4142447 nm). Our approach yielded parsimonious models with strong predictive capability for Vcmax (at 30 C) and EV (R2 of withheld data = 0.94 and 0.92, respectively), both of which varied substantially in the field (? 1.7 fold) across the sampled crop types. The models were applied to additional AVIRIS imagery to generate maps of Vcmax and EV, as well as their uncertainties, for agricultural landscapes in California. The spatial patterns exhibited in the maps were consistent with our in-situ observations. As a result, these findings highlight the considerable promise of airborne and, by implication, space-borne imaging spectroscopy, such as the proposed HyspIRI mission, to map spatial and temporal

  16. Remotely estimating photosynthetic capacity, and its response to temperature, in vegetation canopies using imaging spectroscopy

    SciTech Connect (OSTI)

    Serbin, Shawn P.; Singh, Aditya; Desai, Ankur R.; Dubois, Sean G.; Jablonski, Andrew D.; Kingdon, Clayton C.; Kruger, Eric L.; Townsend, Philip A.

    2015-06-11

    To date, the utility of ecosystem and Earth system models (EESMs) has been limited by poor spatial and temporal representation of critical input parameters. For example, EESMs often rely on leaf-scale or literature-derived estimates for a key determinant of canopy photosynthesis, the maximum velocity of RuBP carboxylation (Vcmax, μmol m–2 s–1). Our recent work (Ainsworth et al., 2014; Serbin et al., 2012) showed that reflectance spectroscopy could be used to estimate Vcmax at the leaf level. Here, we present evidence that imaging spectroscopy data can be used to simultaneously predict Vcmax and its sensitivity to temperature (EV) at the canopy scale. In 2013 and 2014, high-altitude Airborne Visible/Infrared Imaging Spectroscopy (AVIRIS) imagery and contemporaneous ground-based assessments of canopy structure and leaf photosynthesis were acquired across an array of monospecific agroecosystems in central and southern California, USA. A partial least-squares regression (PLSR) modeling approach was employed to characterize the pixel-level variation in canopy Vcmax (at a standardized canopy temperature of 30 °C) and EV, based on visible and shortwave infrared AVIRIS spectra (414–2447 nm). Our approach yielded parsimonious models with strong predictive capability for Vcmax (at 30 °C) and EV (R2 of withheld data = 0.94 and 0.92, respectively), both of which varied substantially in the field (≥ 1.7 fold) across the sampled crop types. The models were applied to additional AVIRIS imagery to generate maps of Vcmax and EV, as well as their uncertainties, for agricultural landscapes in California. The spatial patterns exhibited in the maps were consistent with our in-situ observations. As a result, these findings highlight the considerable promise of airborne and, by implication, space-borne imaging spectroscopy, such as the proposed HyspIRI mission, to map spatial and

  17. Comparison of Natural Gas Storage Estimates from the EIA and AGA

    Reports and Publications (EIA)

    1997-01-01

    The Energy Information Administration (EIA) has been publishing monthly storage information for years. In order to address the need for more timely information, in 1994 the American Gas Association (AGA) began publishing weekly storage levels. Both the EIA and the AGA series provide estimates of the total working gas in storage, but use significantly different methodologies.

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

    SciTech Connect (OSTI)

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

    2015-08-01

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

  19. An Isoreticular Series of Metal-Organic Frameworks with Dendritic Hexacarboxylate Ligands and Exceptionally High Gas-Uptake Capacity

    SciTech Connect (OSTI)

    Yuan, Daqiang; Zhao, Dan; Sun, Daofeng; Zhou, Hong-Cai

    2010-10-01

    Metal-organic frameworks (MOFs) are newly emerging porous materials. Owing to their large surface area and tunable pore size and geometry, they have been studied for applications in gas storage and separation, especially in hydrogen and methane storage and carbon dioxide capture. It has been well established that the high-pressure gravimetric hydrogen-adsorption capacity of an MOF is directly proportional to its surface area. However, MOFs of high surface areas tend to decompose upon activation. In our previous work, we described an approach toward stable MOFs with high surface areas by incorporating mesocavities with microwindows. To extend this work, we now present an isoreticular series of (3,24)-connected MOFs made from dendritic hexacarboxylate ligands, one of which has a Langmuir surface area as high as 6033 m2 g-1. In addition, the gas-adsorption properties of this new isoreticular MOF series have been studied.

  20. Benefit cost estimation and cooperation in greenhouse gas abatement

    SciTech Connect (OSTI)

    Hamaide, B.

    1997-12-31

    The world is divided in five players: the USA, the other OECD countries, the former Soviet Union, China and the Rest of the World. The damage equation is formulated around the benchmark damage (at twice the CO{sub 2} level) and the change of temperature in time due to past concentration and current emissions. For having damage cost data (or benefit data) with respect to emissions reduction, damages must be computed at each level of restriction, summed from 2000 to 2100 and discounted back at a predetermined two percent rate of time preference. Abatement costs have been estimated by various authors, some of which believe in no-regrets and some of which only believe in low-regrets policy, some of which are aggregate and some of which are disaggregate. Both theories are taken into account to find abatement cost data between the lower bound of some studies and the upper bound of others. Finally, all exercise is undertaken for getting a curve through the disaggregated benefit and cost data and the best regional fit, represented by a mathematical expression is chosen.

  1. Estimation of current density distribution of PAFC by analysis of cell exhaust gas

    SciTech Connect (OSTI)

    Kato, S.; Seya, A.; Asano, A.

    1996-12-31

    To estimate distributions of Current densities, voltages, gas concentrations, etc., in phosphoric acid fuel cell (PAFC) stacks, is very important for getting fuel cells with higher quality. In this work, we leave developed a numerical simulation tool to map out the distribution in a PAFC stack. And especially to Study Current density distribution in the reaction area of the cell, we analyzed gas composition in several positions inside a gas outlet manifold of the PAFC stack. Comparing these measured data with calculated data, the current density distribution in a cell plane calculated by the simulation, was certified.

  2. U.S. Working Natural Gas Total Underground Storage Capacity (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    586,953 575,601 549,151 489,505 505,318 514,809 1978-2014 From Gas Wells 259,848 234,236 208,970 204,667 186,887 159,337 1978-2014 From Oil Wells 327,105 341,365 340,182 284,838 318,431 355,472 1978

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's NA NA NA NA NA NA NA 1980's 155 176 145 132 110 126 113 101 101 107 1990's 123 113 118 119 111 110 109 103 102 98 2000's 90 86 68 68 60 64 66 63 61 65 2010's 65 60 61 55 60 59 - = No Data Reported; -- = Not

  3. Estimating the greenhouse gas benefits of forestry projects: A Costa Rican Case Study

    SciTech Connect (OSTI)

    Busch, Christopher; Sathaye, Jayant; Sanchez Azofeifa, G. Arturo

    2000-09-01

    If the Clean Development Mechanism proposed under the Kyoto Protocol is to serve as an effective means for combating global climate change, it will depend upon reliable estimates of greenhouse gas benefits. This paper sketches the theoretical basis for estimating the greenhouse gas benefits of forestry projects and suggests lessons learned based on a case study of Costa Rica's Protected Areas Project, which is a 500,000 hectare effort to reduce deforestation and enhance reforestation. The Protected Areas Project in many senses advances the state of the art for Clean Development Mechanism-type forestry projects, as does the third-party verification work of SGS International Certification Services on the project. Nonetheless, sensitivity analysis shows that carbon benefit estimates for the project vary widely based on the imputed deforestation rate in the baseline scenario, e.g. the deforestation rate expected if the project were not implemented. This, along with a newly available national dataset that confirms other research showing a slower rate of deforestation in Costa Rica, suggests that the use of the 1979--1992 forest cover data originally as the basis for estimating carbon savings should be reconsidered. When the newly available data is substituted, carbon savings amount to 8.9 Mt (million tones) of carbon, down from the original estimate of 15.7 Mt. The primary general conclusion is that project developers should give more attention to the forecasting land use and land cover change scenarios underlying estimates of greenhouse gas benefits.

  4. Estimating retained gas volumes in the Hanford tanks using waste level measurements

    SciTech Connect (OSTI)

    Whitney, P.D.; Chen, G.; Gauglitz, P.A.; Meyer, P.A.; Miller, N.E.

    1997-09-01

    The Hanford site is home to 177 large, underground nuclear waste storage tanks. Safety and environmental concerns surround these tanks and their contents. One such concern is the propensity for the waste in these tanks to generate and trap flammable gases. This report focuses on understanding and improving the quality of retained gas volume estimates derived from tank waste level measurements. While direct measurements of gas volume are available for a small number of the Hanford tanks, the increasingly wide availability of tank waste level measurements provides an opportunity for less expensive (than direct gas volume measurement) assessment of gas hazard for the Hanford tanks. Retained gas in the tank waste is inferred from level measurements -- either long-term increase in the tank waste level, or fluctuations in tank waste level with atmospheric pressure changes. This report concentrates on the latter phenomena. As atmospheric pressure increases, the pressure on the gas in the tank waste increases, resulting in a level decrease (as long as the tank waste is {open_quotes}soft{close_quotes} enough). Tanks with waste levels exhibiting fluctuations inversely correlated with atmospheric pressure fluctuations were catalogued in an earlier study. Additionally, models incorporating ideal-gas law behavior and waste material properties have been proposed. These models explicitly relate the retained gas volume in the tank with the magnitude of the waste level fluctuations, dL/dP. This report describes how these models compare with the tank waste level measurements.

  5. Comparative Evaluation of Two Methods to Estimate Natural Gas Production in Texas

    Reports and Publications (EIA)

    2003-01-01

    This report describes an evaluation conducted by the Energy Information Administration (EIA) in August 2003 of two methods that estimate natural gas production in Texas. The first method (parametric method) was used by EIA from February through August 2003 and the second method (multinomial method) replaced it starting in September 2003, based on the results of this evaluation.

  6. Equipment Design and Cost Estimation for Small Modular Biomass Systems, Synthesis Gas Cleanup, and Oxygen Separation Equipment; Task 2: Gas Cleanup Design and Cost Estimates -- Wood Feedstock

    SciTech Connect (OSTI)

    Nexant Inc.

    2006-05-01

    As part of Task 2, Gas Cleanup and Cost Estimates, Nexant investigated the appropriate process scheme for treatment of wood-derived syngas for use in the synthesis of liquid fuels. Two different 2,000 metric tonne per day gasification schemes, a low-pressure, indirect system using the gasifier, and a high-pressure, direct system using gasification technology were evaluated. Initial syngas conditions from each of the gasifiers was provided to the team by the National Renewable Energy Laboratory. Nexant was the prime contractor and principal investigator during this task; technical assistance was provided by both GTI and Emery Energy.

  7. Estimations and prospects of secondary recovery through conventional gas and waterflooding

    SciTech Connect (OSTI)

    Araujo, J.B.

    1981-03-01

    Conventional waterflooding and/or gas injection have been used extensively for the production of additional hydrocarbons, preferably in light and medium oil reservoirs, and in a lesser extent in heavy oil reservoirs. There are 182 active projects of secondary recovery distributed in Venezuela as follows: 113 projects of gas injection, 64 of waterflooding, and 5 projects of simultaneous injection of gas and water. The daily production by using these methods is 800,000 bpd (40% of national production), and it is expected that 6,000 million bbl of additional oil will be recovered. An objective estimation of the active projects of gas injection and/or waterflooding performed at the present in Venezuela is presented based on statistical data and relevant results. The future prospects also are predicted and quantified.

  8. Estimation of Fracture Porosity in an Unsaturated Fractured Welded Tuff Using Gas Tracer Testing

    SciTech Connect (OSTI)

    B.M. Freifeild

    2001-10-18

    Kinematic fracture porosity is an important hydrologic transport parameter for predicting the potential of rapid contaminant migration through fractured rock. The transport velocity of a solute moving within a fracture network is inversely related to the fracture porosity. Since fracture porosity is often one or two orders of magnitude smaller than matrix porosity, and fracture permeability is often orders of magnitude greater than matrix permeability, solutes may travel significantly faster in the fracture network than in the surrounding matrix. This dissertation introduces a new methodology for conducting gas tracer tests using a field portable mass spectrometer along with analytical tools for estimating fracture porosity using the measured tracer concentration breakthrough curves. Field experiments were conducted at Yucca Mountain, Nevada, consisting of air-permeability transient testing and gas-tracer-transport tests. The experiments were conducted from boreholes drilled within an underground tunnel as part of an investigation of rock mass hydrological behavior. Air-permeability pressure transients, recorded during constant mass flux injections, have been analyzed using a numerical inversion procedure to identify fracture permeability and porosity. Dipole gas tracer tests have also been conducted from the same boreholes used for air-permeability testing. Mass breakthrough data has been analyzed using a random walk particle-tracking model, with a dispersivity that is a function of the advective velocity. The estimated fracture porosity using the tracer test and air-injection test data ranges from .001 to .015. These values are an order of magnitude greater than the values estimated by others using hydraulically estimated fracture apertures. The estimates of porosity made using air-permeability test data are shown to be highly sensitive to formation heterogeneity. Uncertainty analyses performed on the gas tracer test results show high confidence in the parameter

  9. Rapid estimate of solid volume in large tuff cores using a gas pycnometer

    SciTech Connect (OSTI)

    Thies, C.; Geddis, A.M.; Guzman, A.G.

    1996-09-01

    A thermally insulated, rigid-volume gas pycnometer system has been developed. The pycnometer chambers have been machined from solid PVC cylinders. Two chambers confine dry high-purity helium at different pressures. A thick-walled design ensures minimal heat exchange with the surrounding environment and a constant volume system, while expansion takes place between the chambers. The internal energy of the gas is assumed constant over the expansion. The ideal gas law is used to estimate the volume of solid material sealed in one of the chambers. Temperature is monitored continuously and incorporated into the calculation of solid volume. Temperature variation between measurements is less than 0.1{degrees}C. The data are used to compute grain density for oven-dried Apache Leap tuff core samples. The measured volume of solid and the sample bulk volume are used to estimate porosity and bulk density. Intrinsic permeability was estimated from the porosity and measured pore surface area and is compared to in-situ measurements by the air permeability method. The gas pycnometer accommodates large core samples (0.25 m length x 0.11 m diameter) and can measure solid volume greater than 2.20 cm{sup 3} with less than 1% error.

  10. A METHOD FOR ESTIMATING GAS PRESSURE IN 3013 CONTAINERS USING AN ISP DATABASE QUERY

    SciTech Connect (OSTI)

    Friday, G; L. G. Peppers, L; D. K. Veirs, D

    2008-07-31

    The U.S. Department of Energy's Integrated Surveillance Program (ISP) is responsible for the storage and surveillance of plutonium-bearing material. During storage, plutonium-bearing material has the potential to generate hydrogen gas from the radiolysis of adsorbed water. The generation of hydrogen gas is a safety concern, especially when a container is breached within a glove box during destructive evaluation. To address this issue, the DOE established a standard (DOE, 2004) that sets the criteria for the stabilization and packaging of material for up to 50 years. The DOE has now packaged most of its excess plutonium for long-term storage in compliance with this standard. As part of this process, it is desirable to know within reasonable certainty the total maximum pressure of hydrogen and other gases within the 3013 container if safety issues and compliance with the DOE standards are to be attained. The principal goal of this investigation is to document the method and query used to estimate total (i.e. hydrogen and other gases) gas pressure within a 3013 container based on the material properties and estimated moisture content contained in the ISP database. Initial attempts to estimate hydrogen gas pressure in 3013 containers was based on G-values (hydrogen gas generation per energy input) derived from small scale samples. These maximum G-values were used to calculate worst case pressures based on container material weight, assay, wattage, moisture content, container age, and container volume. This paper documents a revised hydrogen pressure calculation that incorporates new surveillance results and includes a component for gases other than hydrogen. The calculation is produced by executing a query of the ISP database. An example of manual mathematical computations from the pressure equation is compared and evaluated with results from the query. Based on the destructive evaluation of 17 containers, the estimated mean absolute pressure was significantly higher

  11. Equipment Design and Cost Estimation for Small Modular Biomass Systems, Synthesis Gas Cleanup, and Oxygen Separation Equipment; Task 2: Gas Cleanup Design and Cost Estimates -- Black Liquor Gasification

    SciTech Connect (OSTI)

    Nexant Inc.

    2006-05-01

    As part of Task 2, Gas Cleanup and Cost Estimates, Nexant investigated the appropriate process scheme for removal of acid gases from black liquor-derived syngas for use in both power and liquid fuels synthesis. Two 3,200 metric tonne per day gasification schemes, both low-temperature/low-pressure (1100 deg F, 40 psi) and high-temperature/high-pressure (1800 deg F, 500 psi) were used for syngas production. Initial syngas conditions from each of the gasifiers was provided to the team by the National Renewable Energy Laboratory and Princeton University. Nexant was the prime contractor and principal investigator during this task; technical assistance was provided by both GTI and Emery Energy.

  12. Total Working Gas Capacity

    Gasoline and Diesel Fuel Update (EIA)

    Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2009 2010 2011 2012 2013 2014 View History U.S. 4,327,844 4,410,224 4,483,650 4,576,356 4,748,636 4,785,669 2008-2014 Alaska 67,915 67,915 2013-2014 Alabama 20,900 25,150 27,350 27,350 27,350 33,150 2008-2014 Arkansas 13,898 13,898 12,036 12,178 12,178 12,178 2008-2014 California 296,096 311,096 335,396 349,296 374,296 374,296 2008-2014

  13. Nonlinear Bayesian Algorithms for Gas Plume Detection and Estimation from Hyper-spectral Thermal Image Data

    SciTech Connect (OSTI)

    Heasler, Patrick G.; Posse, Christian; Hylden, Jeff L.; Anderson, Kevin K.

    2007-06-13

    This paper presents a nonlinear Bayesian regression algorithm for the purpose of detecting and estimating gas plume content from hyper-spectral data. Remote sensing data, by its very nature, is collected under less controlled conditions than laboratory data. As a result, the physics-based model that is used to describe the relationship between the observed remotesensing spectra, and the terrestrial (or atmospheric) parameters that we desire to estimate, is typically littered with many unknown "nuisance" parameters (parameters that we are not interested in estimating, but also appear in the model). Bayesian methods are well-suited for this context as they automatically incorporate the uncertainties associated with all nuisance parameters into the error estimates of the parameters of interest. The nonlinear Bayesian regression methodology is illustrated on realistic simulated data from a three-layer model for longwave infrared (LWIR) measurements from a passive instrument. This shows that this approach should permit more accurate estimation as well as a more reasonable description of estimate uncertainty.

  14. Meta-Analysis of Estimates of Life Cycle Greenhouse Gas Emissions from Concentrating Solar Power: Preprint

    SciTech Connect (OSTI)

    Heath, G. A.; Burkhardt, J. J.

    2011-09-01

    In reviewing life cycle assessment (LCA) literature of utility-scale CSP systems, this analysis focuses on clarifying central tendency and reducing variability in estimates of life cycle greenhouse gas (GHG) emissions through a meta-analytical process called harmonization. From 125 references reviewed, 10 produced 36 independent GHG emission estimates passing screens for quality and relevance: 19 for parabolic trough technology and 17 for power tower technology. The interquartile range (IQR) of published GHG emission estimates was 83 and 20 g CO2eq/kWh for trough and tower, respectively, with medians of 26 and 38 g CO2eq/kWh. Two levels of harmonization were applied. Light harmonization reduced variability in published estimates by using consistent values for key parameters pertaining to plant design and performance. Compared to the published estimates, IQR was reduced by 69% and median increased by 76% for troughs. IQR was reduced by 26% for towers, and median was reduced by 34%. A second level of harmonization was applied to five well-documented trough LC GHG emission estimates, harmonizing to consistent values for GHG emissions embodied in materials and from construction activities. As a result, their median was further reduced by 5%, while the range increased by 6%. In sum, harmonization clarified previous results.

  15. An estimate of chinook salmon (Oncorhynchus tshawytscha) spawning habitat and redd capacity upstream of a migration barrier in the upper Columbia River

    SciTech Connect (OSTI)

    Hanrahan, Timothy P.; Dauble, Dennis D.; Geist, David R.

    2004-02-01

    Chief Joseph Dam on the Columbia River is the upstream terminus for anadromous fish, due to its lack of fish passage facilities. Management agencies are currently evaluating the feasibility of reintroducing anadromous fish upriver of Chief Joseph Dam. We evaluated the physical characteristics of potential fall chinook salmon (Oncorhynchus tshawytscha) spawning habitat in the upper section of Chief Joseph Reservoir. The objective of this study was to estimate the quantity and location of potential spawning habitat, and secondly to determine the redd capacity of the area based on spawning habitat characteristics. We used a geomorphic approach to first identify specific segments with the highest potential for spawning. The suitability of these segments for spawning was then estimated through the use of empirical physical data and modeled hydraulic data. We estimated 5% (48.7 ha) of the study area contains potentially suitable fall chinook salmon spawning habitat. Potential spawning habitat is primarily limited by water too deep and secondly by water velocities too low, the combination of which results in 20% (9.6 ha) of the potential spawning habitat being characterized as high quality. Estimates of redd capacity within potential spawning habitat range from 207? 1599 redds, based on proportional use of potential habitat and varying amounts of channelbed used by spawning salmon. The results of our study provide fisheries managers significant insight into one component of the complex issue of reintroducing anadromous fish to the Columbia River upstream of Chief Joseph Dam.

  16. Natural Gas Weekly Update, Printer-Friendly Version

    Gasoline and Diesel Fuel Update (EIA)

    of approval for Starks Storage Company's proposal to construct and operate a salt dome gas storage facility, with a total estimated capacity of about 28.9 Bcf of gas. It...

  17. U.S. Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

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

    Estimated Production (Billion Cubic Feet) U.S. Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 18,843 18,805 19,257 1980's 18,699 18,737 17,506 15,788 17,193 15,985 15,610 16,114 16,670 16,983 1990's 17,233 17,202 17,423 17,789 18,322 17,966 18,861 19,211 18,720 18,928 2000's 19,219 19,779 19,353 19,425 19,168 18,458 18,545 19,466 20,523 21,594 2010's 22,239 23,555 24,912 25,233 26,611 - = No

  18. U.S. Natural Gas, Wet After Lease Separation Reserves Estimated Production

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

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) U.S. Natural Gas, Wet After Lease Separation Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 20,079 1980's 19,500 19,554 18,292 16,590 18,032 16,798 16,401 16,904 17,466 17,752 1990's 18,003 18,012 18,269 18,641 19,210 18,874 19,783 20,134 19,622 19,856 2000's 20,164 20,642 20,248 20,231 20,017 19,259 19,373 20,318 21,415 22,537 2010's 23,224

  19. U.S. Nonassociated Natural Gas, Wet After Lease Separation, Estimated

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

    Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) U.S. Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 16,674 1980's 16,095 16,238 15,044 13,235 14,514 13,344 12,958 13,553 14,274 14,653 1990's 15,067 15,044 15,238 15,773 16,303 15,988 16,845 17,112 16,486 16,543 2000's 16,863 17,451 17,260

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

    SciTech Connect (OSTI)

    Greenblatt, Jeffery B.

    2013-10-10

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

  1. Dealing with natural gas uncertainties

    SciTech Connect (OSTI)

    Clements, J.; Graeber, D. )

    1991-04-01

    The fuel of choice for generating new power is and will continue over the next two decades to be natural gas. It is the fuel of choice because it is plentiful, environmentally acceptable, and relatively inexpensive. This paper reports that gas reserves on the North American continent continue to be discovered in amounts that may keep the gas bubble inflated far longer than currently estimated. New gas transportation capacity is actively being developed to overcome the capacity bottlenecks and deliverability shortfalls. Natural gas prices will probably remain stable (with expected CPI-related increases) for the short run (2-4 years), and probably will be higher than CPI increases thereafter.

  2. Impacts of individual fish movement patterns on estimates of mortality due to dissolved gas supersaturation in the Columbia River Basin.

    SciTech Connect (OSTI)

    Scheibe, Timothy D.; Richmond, Marshall C.; Fidler, Larry E.

    2002-12-31

    Spatial and temporal distributions of dissolved gases in the Columbia and Snake rivers vary due to many factors including river channel and dam geometries, operational decisions, and natural variations in flow rates. As a result, the dissolved gas exposure histories experienced by migrating juvenile salmonids can vary significantly among individual fish. A discrete, particle-based model of individual fish movements and dissolved gas exposure history has been developed and applied to examine the effects of such variability on estimates of fish mortality. The model, called the Fish Individual-based Numerical Simulator or FINS, is linked to a two-dimensional (vertically-averaged) hydrodynamic simulator that quantifies local water velocity, temperature, and dissolved gas levels as a function of river flow rates and dam operations. Simulated gas exposure histories are then input to biological mortality models to predict the effects of various river configurations on fish injury and mortality due to dissolved gas supersaturation. This model framework provides a critical linkage between hydrodynamic models of the river system and models of biological effects. FINS model parameters were estimated and validated based on observations of individual fish movements collected using radiotelemetry methods during 1997 and 1998. The model was then used to simulate exposure histories under selected operational scenarios. We compare mortality rates estimated using the FINS model approach (incorporating individual behavior and spatial and temporal variability) to those estimated using average exposure times and levels as is done in traditional lumped-parameter model approaches.

  3. Equipment Design and Cost Estimation for Small Modular Biomass Systems, Synthesis Gas Cleanup, and Oxygen Separation Equipment; Task 1: Cost Estimates of Small Modular Systems

    SciTech Connect (OSTI)

    Nexant Inc.

    2006-05-01

    This deliverable is the Final Report for Task 1, Cost Estimates of Small Modular Systems, as part of NREL Award ACO-5-44027, ''Equipment Design and Cost Estimation for Small Modular Biomass Systems, Synthesis Gas Cleanup and Oxygen Separation Equipment''. Subtask 1.1 looked into processes and technologies that have been commercially built at both large and small scales, with three technologies, Fluidized Catalytic Cracking (FCC) of refinery gas oil, Steam Methane Reforming (SMR) of Natural Gas, and Natural Gas Liquids (NGL) Expanders, chosen for further investigation. These technologies were chosen due to their applicability relative to other technologies being considered by NREL for future commercial applications, such as indirect gasification and fluidized bed tar cracking. Research in this subject is driven by an interest in the impact that scaling has on the cost and major process unit designs for commercial technologies. Conclusions from the evaluations performed could be applied to other technologies being considered for modular or skid-mounted applications.

  4. Refinery Capacity Report

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

    Vacuum State/Refiner/Location Barrels per Atmospheric Crude Oil Distillation Capacity Barrels per Operating Idle Operating Idle Downstream Charge Capacity Thermal Cracking Delayed Fluid Coking Visbreaking Other/Gas Calendar Day Stream Day Distillation Coking Oil Table 3. Capacity of Operable Petroleum Refineries by State as of January 1, 2016 (Barrels per Stream Day, Except Where Noted) ......................................................... Alabama 131,675 0 140,500 0 47,000 32,000 0 0 0

  5. Estimating Adult Chinook Salmon Exposure to Dissolved Gas Supersaturation Downstream of Hydroelectric Dams Using Telemetry and Hydrodynamic Models

    SciTech Connect (OSTI)

    Johnson, Eric L.; Clabough, Tami S.; Peery, Christopher A.; Bennett, David H.; bjornn, Theodore C.; Caudill, Christopher C.; Richmond, Marshall C.

    2007-11-01

    Gas bubble disease (GBD) has been recognized for years as a potential problem for fishes in the Columbia River basin. GBD results from exposure to gas supersaturated water created by discharge over dam spillways. Spill typically creates a downstream plume of water with high total dissolved gas supersaturation (TDGS) that may be positioned along either shore or mid-channel, depending on dam operations. We obtained spatial data on fish migration paths and migration depths for 228 adult spring and summer Chinook salmon, Oncorhynchus tshawytscha, during 2000. Migration paths were compared to output from a two-dimensional hydrodynamic and dissolved gas model to estimate the potential for GBD expression and to test for behavioral avoidance of the high TDGS plume in unrestrained fish migrating under field conditions. Consistent with our previous estimates using single-location estimates of TDGS, we observed salmon swam sufficiently deep in the water column to receive complete hydrostatic compensation 95.9% of time spent in the Bonneville tailrace and 88.1% of the time in the Ice Harbor tailrace. The majority of depth uncompensated exposure occurred at TDGS levels > 115%. Adult spring and summer Chinook salmon tended to migrate near the shoreline. Adults moved into the high dissolved gas plume as often as they moved out of it downstream of Bonneville Dam, providing no evidence that adults moved laterally to avoid areas with elevated dissolved gas levels. The strong influence of dam operations on the position of the high-TDGS plume and shoreline-orientation behaviors of adults suggest that exposure of adult salmonids to high-TDGS conditions may be minimized using operational conditions that direct the plume mid-channel, particularly during periods of high discharge and spill. More generally, our approach illustrates the potential for combined field and modeling efforts to estimate the fine-scale environmental conditions encountered by fishes in natural and regulated rivers.

  6. Estimating U.S. Methane Emissions from the Natural Gas Supply...

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

    is to develop the empirical foundation for activity factor uncertainty estimation. 6. Transparency and credibility of inventory estimates can be improved by bolstering...

  7. Philadelphia gas works medium-Btu coal gasification project: capital and operating cost estimate, financial/legal analysis, project implementation

    SciTech Connect (OSTI)

    Not Available

    1981-12-01

    This volume of the final report is a compilation of the estimated capital and operating costs for the project. Using the definitive design as a basis, capital and operating costs were developed by obtaining quotations for equipment delivered to the site. Tables 1.1 and 1.2 provide a summary of the capital and operating costs estimated for the PGW Coal Gasification Project. In the course of its Phase I Feasibility Study of a medium-Btu coal-gas facility, Philadelphia Gas Works (PGW) identified the financing mechanism as having great impact on gas cost. Consequently, PGW formed a Financial/Legal Task Force composed of legal, financial, and project analysis specialists to study various ownership/management options. In seeking an acceptable ownership, management, and financing arrangement, certain ownership forms were initially identified and classified. Several public ownership, private ownership, and third party ownership options for the coal-gas plant are presented. The ownership and financing forms classified as base alternatives involved tax-exempt and taxable financing arrangements and are discussed in Section 3. Project implementation would be initiated by effectively planning the methodology by which commercial operation will be realized. Areas covered in this report are sale of gas to customers, arrangements for feedstock supply and by-product disposal, a schedule of major events leading to commercialization, and a plan for managing the implementation.

  8. Kalman-filtered compressive sensing for high resolution estimation of anthropogenic greenhouse gas emissions from sparse measurements.

    SciTech Connect (OSTI)

    Ray, Jaideep; Lee, Jina; Lefantzi, Sophia; Yadav, Vineet; Michalak, Anna M.; van Bloemen Waanders, Bart Gustaaf; McKenna, Sean Andrew

    2013-09-01

    The estimation of fossil-fuel CO2 emissions (ffCO2) from limited ground-based and satellite measurements of CO2 concentrations will form a key component of the monitoring of treaties aimed at the abatement of greenhouse gas emissions. The limited nature of the measured data leads to a severely-underdetermined estimation problem. If the estimation is performed at fine spatial resolutions, it can also be computationally expensive. In order to enable such estimations, advances are needed in the spatial representation of ffCO2 emissions, scalable inversion algorithms and the identification of observables to measure. To that end, we investigate parsimonious spatial parameterizations of ffCO2 emissions which can be used in atmospheric inversions. We devise and test three random field models, based on wavelets, Gaussian kernels and covariance structures derived from easily-observed proxies of human activity. In doing so, we constructed a novel inversion algorithm, based on compressive sensing and sparse reconstruction, to perform the estimation. We also address scalable ensemble Kalman filters as an inversion mechanism and quantify the impact of Gaussian assumptions inherent in them. We find that the assumption does not impact the estimates of mean ffCO2 source strengths appreciably, but a comparison with Markov chain Monte Carlo estimates show significant differences in the variance of the source strengths. Finally, we study if the very different spatial natures of biogenic and ffCO2 emissions can be used to estimate them, in a disaggregated fashion, solely from CO2 concentration measurements, without extra information from products of incomplete combustion e.g., CO. We find that this is possible during the winter months, though the errors can be as large as 50%.

  9. Knudsen heat capacity

    SciTech Connect (OSTI)

    Babac, Gulru; Reese, Jason M.

    2014-05-15

    We present a Knudsen heat capacity as a more appropriate and useful fluid property in micro/nanoscale gas systems than the constant pressure heat capacity. At these scales, different fluid processes come to the fore that are not normally observed at the macroscale. For thermodynamic analyses that include these Knudsen processes, using the Knudsen heat capacity can be more effective and physical. We calculate this heat capacity theoretically for non-ideal monatomic and diatomic gases, in particular, helium, nitrogen, and hydrogen. The quantum modification for para and ortho hydrogen is also considered. We numerically model the Knudsen heat capacity using molecular dynamics simulations for the considered gases, and compare these results with the theoretical ones.

  10. Estimated size and performance of a natural gas fired duplex Stirling for domestic refrigeration applications

    SciTech Connect (OSTI)

    Berchowitz, D.M. ); Shonder, J. )

    1991-01-01

    Calibrated calculations are used to size an integrated Stirling cooler and engine (Duplex configuration). Fuel for the engine is natural gas and the working fluid is helium. The potential exists for long life and low noise. Performance is shown to be very competitive when compared to standard vapor compression systems. 10 refs., 8 figs., 1 tab.