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  1. Alabama

    Gasoline and Diesel Fuel Update (EIA)

    Alabama

  2. Alabama - Compare - U.S. Energy Information Administration (EIA)

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

    Alabama Alabama

  3. Alabama - Rankings - U.S. Energy Information Administration (EIA)

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

    Alabama Alabama

  4. Alabama - Search - U.S. Energy Information Administration (EIA)

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

    Alabama Alabama

  5. Alabama Profile

    Gasoline and Diesel Fuel Update (EIA)

    Alabama State Energy Profile Alabama Quick Facts In 2013, Alabama ranked 17th in the nation in the number of producing natural gas wells. Mobile, Alabama was the fourth-largest seaport for exporting U.S. coal in 2013. Coking coal used in the steelmaking process accounted for 82% of total exported coal. The three reactors at the Browns Ferry Nuclear Plant in Limestone County, Alabama have a combined generating capacity of 3,310 megawatts, second in capacity only to Arizona's Palo Verde plant.

  6. Calhoun County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Alabama Glencoe, Alabama Hobson City, Alabama Jacksonville, Alabama Ohatchee, Alabama Oxford, Alabama Piedmont, Alabama Saks, Alabama Southside, Alabama Weaver, Alabama West...

  7. Shelby County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Alabama Calera, Alabama Chelsea, Alabama Columbiana, Alabama Harpersville, Alabama Helena, Alabama Hoover, Alabama Indian Springs Village, Alabama Lake Purdy, Alabama Leeds,...

  8. Baldwin County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Bay Minette, Alabama Daphne, Alabama Elberta, Alabama Fairhope, Alabama Foley, Alabama Gulf Shores, Alabama Loxley, Alabama Magnolia Springs, Alabama Orange Beach, Alabama Point...

  9. Etowah County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Alabama Gadsden, Alabama Glencoe, Alabama Hokes Bluff, Alabama Mountainboro, Alabama Rainbow City, Alabama Reece City, Alabama Ridgeville, Alabama Sardis City, Alabama Southside,...

  10. Madison County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Huntsville, Alabama Madison, Alabama Meridianville, Alabama Moores Mill, Alabama New Hope, Alabama New Market, Alabama Owens Cross Roads, Alabama Redstone Arsenal, Alabama...

  11. Cullman County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Cullman, Alabama Dodge City, Alabama Fairview, Alabama Garden City, Alabama Good Hope, Alabama Hanceville, Alabama Holly Pond, Alabama South Vinemont, Alabama West Point,...

  12. Covington County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Horn Hill, Alabama Libertyville, Alabama Lockhart, Alabama Onycha, Alabama Opp, Alabama Red Level, Alabama River Falls, Alabama Sanford, Alabama Retrieved from "http:...

  13. Jefferson County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Alabama Polymet Alloys Inc WBRC Places in Jefferson County, Alabama Adamsville, Alabama Argo, Alabama Bessemer, Alabama Birmingham, Alabama Brighton, Alabama Brookside, Alabama...

  14. Limestone County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Ardmore, Alabama Athens, Alabama Decatur, Alabama Elkmont, Alabama Huntsville, Alabama Lester, Alabama Madison, Alabama Mooresville, Alabama Retrieved from "http:en.openei.orgw...

  15. Monroe County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Alabama Pine Pulp Biomass Facility Places in Monroe County, Alabama Beatrice, Alabama Excel, Alabama Frisco City, Alabama Monroeville, Alabama Vredenburgh, Alabama Retrieved from...

  16. Lamar County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Number 3 Climate Zone Subtype A. Places in Lamar County, Alabama Beaverton, Alabama Detroit, Alabama Kennedy, Alabama Millport, Alabama Sulligent, Alabama Vernon, Alabama...

  17. Blount County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Nectar, Alabama Oneonta, Alabama Rosa, Alabama Smoke Rise, Alabama Snead, Alabama Susan Moore, Alabama Retrieved from "http:en.openei.orgwindex.php?titleBlountCounty,Alabama...

  18. Geneva County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Geneva, Alabama Hartford, Alabama Malvern, Alabama Samson, Alabama Slocomb, Alabama Taylor, Alabama Retrieved from "http:en.openei.orgwindex.php?titleGenevaCounty,Alabama...

  19. Barbour County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    in Barbour County, Alabama Bakerhill, Alabama Blue Springs, Alabama Clayton, Alabama Clio, Alabama Eufaula, Alabama Louisville, Alabama Retrieved from "http:en.openei.orgw...

  20. Houston County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Solar Hot Water and Power LLC Places in Houston County, Alabama Ashford, Alabama Avon, Alabama Columbia, Alabama Cottonwood, Alabama Cowarts, Alabama Dothan, Alabama Gordon,...

  1. Fayette County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    County, Alabama Belk, Alabama Berry, Alabama Fayette, Alabama Glen Allen, Alabama Gu-Win, Alabama Winfield, Alabama Retrieved from "http:en.openei.orgw...

  2. Alabama Power Co (Alabama) EIA Revenue and Sales - February 2009...

    Open Energy Info (EERE)

    Alabama Power Co (Alabama) EIA Revenue and Sales - February 2009 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alabama Power Co for February...

  3. Alabama Power Co (Alabama) EIA Revenue and Sales - September...

    Open Energy Info (EERE)

    Alabama Power Co (Alabama) EIA Revenue and Sales - September 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alabama Power Co for September...

  4. Alabama Power Co (Alabama) EIA Revenue and Sales - October 2008...

    Open Energy Info (EERE)

    Alabama Power Co (Alabama) EIA Revenue and Sales - October 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alabama Power Co for October...

  5. Alabama Power Co (Alabama) EIA Revenue and Sales - November 2008...

    Open Energy Info (EERE)

    Alabama Power Co (Alabama) EIA Revenue and Sales - November 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alabama Power Co for November...

  6. Alabama Power Co (Alabama) EIA Revenue and Sales - January 2009...

    Open Energy Info (EERE)

    Alabama Power Co (Alabama) EIA Revenue and Sales - January 2009 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alabama Power Co for January...

  7. Alabama Power Co (Alabama) EIA Revenue and Sales - January 2008...

    Open Energy Info (EERE)

    Alabama Power Co (Alabama) EIA Revenue and Sales - January 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alabama Power Co for January...

  8. Alabama Power Co (Alabama) EIA Revenue and Sales - December 2008...

    Open Energy Info (EERE)

    Alabama Power Co (Alabama) EIA Revenue and Sales - December 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alabama Power Co for December...

  9. Bibb County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    169-2006 Climate Zone Number 3 Climate Zone Subtype A. Places in Bibb County, Alabama Brent, Alabama Centreville, Alabama Vance, Alabama West Blocton, Alabama Woodstock, Alabama...

  10. Talladega County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Climate Zone Number 3 Climate Zone Subtype A. Places in Talladega County, Alabama Bon Air, Alabama Childersburg, Alabama Lincoln, Alabama Mignon, Alabama Munford, Alabama...

  11. Wilcox County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Zone Subtype A. Places in Wilcox County, Alabama Camden, Alabama Oak Hill, Alabama Pine Apple, Alabama Pine Hill, Alabama Yellow Bluff, Alabama Retrieved from "http:...

  12. Choctaw County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Climate Zone Number 3 Climate Zone Subtype A. Places in Choctaw County, Alabama Butler, Alabama Gilbertown, Alabama Lisman, Alabama Needham, Alabama Pennington, Alabama...

  13. Clarke County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    in Clarke County, Alabama Coffeeville, Alabama Fulton, Alabama Grove Hill, Alabama Jackson, Alabama Thomasville, Alabama Retrieved from "http:en.openei.orgw...

  14. Franklin County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Subtype A. Places in Franklin County, Alabama Hodges, Alabama Phil Campbell, Alabama Red Bay, Alabama Russellville, Alabama Vina, Alabama Retrieved from "http:en.openei.org...

  15. Lowndes County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Gordonville, Alabama Hayneville, Alabama Lowndesboro, Alabama Mosses, Alabama White Hall, Alabama Retrieved from "http:en.openei.orgwindex.php?titleLowndesCounty,Alabama...

  16. St. Clair County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Climate Zone Number 3 Climate Zone Subtype A. Places in St. Clair County, Alabama Argo, Alabama Ashville, Alabama Leeds, Alabama Margaret, Alabama Moody, Alabama Odenville,...

  17. Winston County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Arley, Alabama Double Springs, Alabama Haleyville, Alabama Lynn, Alabama Natural Bridge, Alabama Nauvoo, Alabama Retrieved from "http:en.openei.orgwindex.php?titleWinsto...

  18. Pickens County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Alabama Gordo, Alabama McMullen, Alabama Memphis, Alabama Pickensville, Alabama Reform, Alabama Retrieved from "http:en.openei.orgwindex.php?titlePickensCounty,Alabam...

  19. Sumter County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    169-2006 Climate Zone Number 3 Climate Zone Subtype A. Places in Sumter County, Alabama Cuba, Alabama Emelle, Alabama Epes, Alabama Gainesville, Alabama Geiger, Alabama Livingston,...

  20. Colbert County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Number 3 Climate Zone Subtype A. Places in Colbert County, Alabama Cherokee, Alabama Leighton, Alabama Littleville, Alabama Muscle Shoals, Alabama Sheffield, Alabama Tuscumbia,...

  1. Lauderdale County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Climate Zone Number 3 Climate Zone Subtype A. Places in Lauderdale County, Alabama Anderson, Alabama Florence, Alabama Killen, Alabama Lexington, Alabama Rogersville, Alabama...

  2. Alabama Power Co (Alabama) EIA Revenue and Sales - May 2008 ...

    Open Energy Info (EERE)

    Alabama Power Co (Alabama) EIA Revenue and Sales - May 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alabama Power Co for May 2008....

  3. Alabama Power Co (Alabama) EIA Revenue and Sales - April 2008...

    Open Energy Info (EERE)

    Alabama Power Co (Alabama) EIA Revenue and Sales - April 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alabama Power Co for April 2008....

  4. Alabama Power Co (Alabama) EIA Revenue and Sales - August 2008...

    Open Energy Info (EERE)

    Alabama Power Co (Alabama) EIA Revenue and Sales - August 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alabama Power Co for August 2008....

  5. Alabama Power Co (Alabama) EIA Revenue and Sales - March 2008...

    Open Energy Info (EERE)

    Alabama Power Co (Alabama) EIA Revenue and Sales - March 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alabama Power Co for March 2008....

  6. Alabama Power Co (Alabama) EIA Revenue and Sales - March 2009...

    Open Energy Info (EERE)

    Alabama Power Co (Alabama) EIA Revenue and Sales - March 2009 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alabama Power Co for March 2009....

  7. Alabama Power Co (Alabama) EIA Revenue and Sales - June 2008...

    Open Energy Info (EERE)

    Alabama Power Co (Alabama) EIA Revenue and Sales - June 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alabama Power Co for June 2008....

  8. Alabama Power Co (Alabama) EIA Revenue and Sales - July 2008...

    Open Energy Info (EERE)

    Alabama Power Co (Alabama) EIA Revenue and Sales - July 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alabama Power Co for July 2008....

  9. Alabama Power Co (Alabama) EIA Revenue and Sales - February 2008...

    Open Energy Info (EERE)

    Power Co (Alabama) EIA Revenue and Sales - February 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Alabama Power Co for February 2008....

  10. Alabama Power- UESC Activities

    Broader source: Energy.gov [DOE]

    Presentationgiven at the Fall 2012 Federal Utility Partnership Working Group (FUPWG) meetingdiscusses Alabama Power and its utility energy service contract (UESC) projects and activities.

  11. Alabama/Incentives | Open Energy Information

    Open Energy Info (EERE)

    Program No Alabama Gas Corporation - Residential Natural Gas Rebate Program (Alabama) Utility Rebate Program Yes Alabama Power - Residential Heat Pump and Weatherization Loan...

  12. Save Energy Now Alabama | Department of Energy

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

    Alabama Save Energy Now Alabama Map highlighting Alabama With a variety of energy-intensive industries, such as chemicals, metals, pulp, and paper located within the state, Alabama ranks eighth among states as the largest industrial energy user. Due to this high concentration of industry, the Alabama Department of Economic and Community Affairs (ADECA) formed a team, including the Alabama Technology Network (ATN) and the Alabama Industrial Assessment Center (AIAC), to inform industrial

  13. Alabama Offshore Natural Gas Processed in Alabama (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Processed in Alabama (Million Cubic Feet) Alabama Offshore Natural Gas Processed in Alabama (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 53,348 53,771 49,474 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Natural Gas Processed

  14. Birmingham, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Recovery Act Smart Grid Projects in Birmingham, Alabama Southern Company Services, Inc. Smart Grid Project Registered Energy Companies in Birmingham, Alabama Polymet Alloys Inc...

  15. Alabama Onshore Natural Gas Processed in Alabama (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Processed in Alabama (Million Cubic Feet) Alabama Onshore Natural Gas Processed in Alabama (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 100,491 33,921 35,487 31,116 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Natural Gas Processed

  16. Alabama Offshore Natural Gas Plant Liquids Production Extracted in Alabama

    Gasoline and Diesel Fuel Update (EIA)

    (Million Cubic Feet) Plant Liquids Production Extracted in Alabama (Million Cubic Feet) Alabama Offshore Natural Gas Plant Liquids Production Extracted in Alabama (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 3,978 3,721 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: NGPL Production,

  17. Alabama Onshore Natural Gas Plant Liquids Production Extracted in Alabama

    Gasoline and Diesel Fuel Update (EIA)

    (Million Cubic Feet) Plant Liquids Production Extracted in Alabama (Million Cubic Feet) Alabama Onshore Natural Gas Plant Liquids Production Extracted in Alabama (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 3,132 3,323 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: NGPL Production,

  18. South Alabama Electric Cooperative- Residential Energy Efficiency Loan Program

    Broader source: Energy.gov [DOE]

    South Alabama Electric Cooperative (SAEC) is a part owner of Alabama Electric Cooperative which has a generation facility in Andalusia, Alabama. The Energy Resources Conservation Loan (ERC) helps...

  19. Origin State Destination State STB EIA STB EIA Alabama

    Gasoline and Diesel Fuel Update (EIA)

    Alabama Alabama W 13.59 W 63.63 21.4% 3,612 W 100.0% Alabama Georgia W 19.58 W 82.89 23.6% 538 W 99.9% Alabama Illinois W - - - - - - - Alabama Kentucky - W - W W W - W Alabama...

  20. Headland, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Map This article is a stub. You can help OpenEI by expanding it. Headland is a city in Henry County, Alabama. It falls under Alabama's 2nd congressional district.12 References...

  1. Haleburg, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Map This article is a stub. You can help OpenEI by expanding it. Haleburg is a town in Henry County, Alabama. It falls under Alabama's 2nd congressional district.12 References...

  2. Dothan, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    is a stub. You can help OpenEI by expanding it. Dothan is a city in Dale County and Henry County and Houston County, Alabama. It falls under Alabama's 2nd congressional...

  3. Abbeville, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Map This article is a stub. You can help OpenEI by expanding it. Abbeville is a city in Henry County, Alabama. It falls under Alabama's 2nd congressional district.12 References...

  4. Newville, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Map This article is a stub. You can help OpenEI by expanding it. Newville is a town in Henry County, Alabama. It falls under Alabama's 2nd congressional district.12 References...

  5. Avon, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Avon is a town in Houston County, Alabama. It falls under Alabama's 2nd congressional...

  6. North Alabama Electric Coop | Open Energy Information

    Open Energy Info (EERE)

    Place: Alabama Phone Number: (256) 437-2281 or 800-572-2900 Website: www.naecoop.com Facebook: https:www.facebook.compagesNorth-Alabama-Electric-Cooperative159082070791105...

  7. Categorical Exclusion Determinations: Alabama | Department of Energy

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

    Alabama Categorical Exclusion Determinations: Alabama Location Categorical Exclusion Determinations issued for actions in Alabama. DOCUMENTS AVAILABLE FOR DOWNLOAD October 28, 2015 CX-100394 Categorical Exclusion Determination ARRA Financing Program - AlabamaSAVES Award Number: DE- EE-0004122 CX(s) Applied: B5.16 Weatherization & Intergovernmental Programs Office Date: 10/28/2015 Location(s): AL Office(s): Golden Field Office September 10, 2015 CX-100360 Categorical Exclusion Determination

  8. Alabama -- SEP Data Dashboard | Department of Energy

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

    Data Dashboard Alabama -- SEP Data Dashboard The data dashboard for Alabama -- SEP, a partner in the Better Buildings Neighborhood Program. File Alabama -- SEP Data Dashboard More Documents & Publications Massachusetts -- SEP Data Dashboard Austin Energy Data Dashboard Washington -- SEP Data Dashboard

  9. Alternative Fuels Data Center: Biodiesel Fuels Education in Alabama

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Biodiesel Fuels Education in Alabama to someone by E-mail Share Alternative Fuels Data Center: Biodiesel Fuels Education in Alabama on Facebook Tweet about Alternative Fuels Data Center: Biodiesel Fuels Education in Alabama on Twitter Bookmark Alternative Fuels Data Center: Biodiesel Fuels Education in Alabama on Google Bookmark Alternative Fuels Data Center: Biodiesel Fuels Education in Alabama on Delicious Rank Alternative Fuels Data Center: Biodiesel Fuels Education in Alabama on Digg Find

  10. Recovery Act State Memos Alabama

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

    Alabama For questions about DOE's Recovery Act activities, please contact the DOE Recovery Act Clearinghouse: 1-888-DOE-RCVY (888-363-7289), Monday through Friday, 9 a.m. to 7 p.m. Eastern Time https://recoveryclearinghouse.energy.gov/contactUs.htm. All numbers and projects listed as of June 1, 2010 TABLE OF CONTENTS RECOVERY ACT SNAPSHOT................................................................................... 1 FUNDING ALLOCATION

  11. ,"Alabama Natural Gas LNG Storage Additions (MMcf)"

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

    Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas LNG Storage Additions (MMcf)",1,"Annual",2014 ,"Release Date:","9302015" ,"Next Release...

  12. ,"Alabama Natural Gas LNG Storage Withdrawals (MMcf)"

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

    Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas LNG Storage Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","9302015" ,"Next Release...

  13. Alabama Residential Energy Code Field Study

    Broader source: Energy.gov [DOE]

    Lead Performer: Institute for Market Transformation – Washington, DCPartners: Alabama Center for Excellence in Clean Energy Technology, Calhoun Community College – Decatur, ALDOE Total Funding: ...

  14. Alabama/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Alabama Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  15. South Alabama Electric Cooperative - Residential Energy Efficiency...

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

    < Back Eligibility Residential Savings Category Geothermal Heat Pumps Heat Pumps Building Insulation Windows Doors Program Info Sector Name Utility Administrator South Alabama...

  16. Taylor, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    dataset (All States, all geography) US Census Bureau Congressional Districts by Places. Retrieved from "http:en.openei.orgwindex.php?titleTaylor,Alabama&oldid25085...

  17. Energy Incentive Programs, Alabama | Department of Energy

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

    What load managementdemand response options are available to me? Alabama Power, a subsidiary of the Southern Company, offers a set of real time pricing programs. Under this ...

  18. Clean Cities: Alabama Clean Fuels coalition

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

    the United States. Bentley actively strives to lead efforts to build an alternative fuel industry in Alabama and leverages public-private partnerships to accomplish this goal....

  19. Alabama Oil and Gas Board | Open Energy Information

    Open Energy Info (EERE)

    Oil and Gas Board Jump to: navigation, search Logo: Alabama Oil and Gas Board Name: Alabama Oil and Gas Board Abbreviation: OGB Address: 420 Hackberry Lane Place: Tuscaloosa,...

  20. City of Huntsville, Alabama (Utility Company) | Open Energy Informatio...

    Open Energy Info (EERE)

    Huntsville, Alabama (Utility Company) (Redirected from Huntsville Utilities) Jump to: navigation, search Name: Huntsville City of Place: Alabama Phone Number: 1-866-478-8845 or...

  1. City of Bessemer Utilities, Alabama | Open Energy Information

    Open Energy Info (EERE)

    Bessemer Utilities, Alabama Jump to: navigation, search Name: City of Bessemer Utilities Place: Alabama Phone Number: (205) 481-4333 Website: www.bessemerutilities.com Outage...

  2. SEP Success Story: Local Program Helps Alabama Manufacturers...

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

    SEP Success Story: Local Program Helps Alabama Manufacturers Add Jobs, Reduce Waste and Increase Profits SEP Success Story: Local Program Helps Alabama Manufacturers Add Jobs, ...

  3. Alabama SEP Final Technical Report

    SciTech Connect (OSTI)

    Grimes, Elizabeth M.

    2014-06-30

    Executive Summary In the fall of 2010, the Alabama Department of Economic and Community Affairs (ADECA) launched the Multi-State Model for Catalyzing the National Home Energy Retrofit Market Project (Multi-State Project). This residential energy efficiency pilot program was a collaborative effort among the states of Alabama, Massachusetts, Virginia, and Washington, and was funded by competitive State Energy Program (SEP) awards through the U.S. Department of Energy (DOE). The objective of this project was to catalyze the home energy efficiency retrofit market in select areas within the state of Alabama. To achieve this goal, the project addressed a variety of marketplace elements that did not exist, or were underdeveloped, at the outset of the effort. These included establishing minimum standards and credentials for marketplace suppliers, educating and engaging homeowners on the benefits of energy efficiency and addressing real or perceived financial barriers to investments in whole-home energy efficiency, among others. The anticipated effect of the activities would be increased market demand for retrofits, improved audit to retrofit conversion rates and growth in overall community understanding of energy efficiency. The four-state collaborative was created with the intent of accelerating market transformation by allowing each state to learn from their peers, each of whom possessed different starting points, resources, and strategies for achieving the overall objective. The four partner states engaged the National Association of State Energy Officials (NASEO) to oversee a project steering committee and to manage the project evaluation for all four states. The steering committee, comprised of key program partners, met on a regular basis to provide overall project coordination, guidance, and progress assessment. While there were variances in program design among the states, there were several common elements: use of the Energy Performance Score (EPS) platform; an audit and home energy rating tool; emphasis on community based coordination and partnerships; marketing and outreach to increase homeowner participation; training for market actors; access to financing options including rebates, incentives, and loan products; and an in depth process evaluation to support continual program improvement and analysis. In Alabama, Nexus Energy Center operated energy efficiency retrofit programs in Huntsville and Birmingham. In the Huntsville community the AlabamaWISE program was available in five Alabama counties: Cullman, Lawrence, Limestone, Madison, and Morgan. In Birmingham, the program was available to residents in Jefferson and Shelby Counties. In both communities, the program was similar in terms of program design but tailored marketing and partnerships to address the unique local conditions and population of each community. ADECA and the Southeast Energy Efficiency Alliance (SEEA) provided overall project management services and common resources to the local program administrator Nexus Energy Center, including contracted services for contractor training, quality assurance testing, data collection and reporting, and compliance. The fundamental components of the AlabamaWISE program included a vertical contractor-based business model; comprehensive energy assessments; third-party quality assurance; rebates for installation of energy saving measures; accessible, low-interest financing; targeted and inbound marketing; Energy Performance Score (EPS) tool to engage and educate homeowners; training for auditors, contractors, and real estate professionals; and online resources for education and program enrollment. Program participants were eligible to receive rebates or financing toward the assessments and upgrades to their home provided they reached at least 20 percent deemed or modeled energy savings. The design of each program focused on addressing several known barriers including: limited homeowner knowledge on the benefits of energy efficiency, lack of financing options, lack of community support for energy efficiency programs, and lack of trained market actors including contractors and real estate professionals. The programs were able to make progress on addressing all of these barriers and were most successful in offering financing options and training market actors. The most challenging barriers proved to be the act of building a market for energy efficiency where none previously existed, convincing homeowners of the value in investing in energy efficiency (and therefore completing retrofits), engaging electric and natural gas utilities to partner on delivery, and achieving the overall project target of 1,365 completed retrofits. The components that proved to be the most valuable to program success were engaged contractor networks that could promote and endorse the program, partnerships with local business and organizations, and the access to rebates, incentives and financing mechanisms. The programs were successful in building relationships with a variety of community participants including: local contractors, Associations of REALTORS, home builders associations, universities, utilities, local and state governments, and other non-profit organizations. Throughout this program, 933 building audits and 795 building retrofits were completed making homes in Alabama more comfortable, less expensive to operate, more valuable to the marketplace, and safer and healthier for families. Continuing on this momentum, Nexus Energy Center plans to continue operating and expanding operations in Alabama as a Home Performance with ENERGY STAR sponsor and will continue to provide energy services and education to communities in Alabama.

  4. Alabama Nuclear Profile - Power Plants

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

    nuclear power plants, summer capacity and net generation, 2010" "Plant name/total reactors","Summer capacity (mw)","Net generation (thousand mwh)","Share of State nuclear net generation (percent)","Owner" "Browns Ferry Unit 1, Unit 2, Unit 3","3,309","24,771",65.3,"Tennessee Valley Authority" "Joseph M Farley Unit 1, Unit 2","1,734","13,170",34.7,"Alabama Power

  5. Final Technical Report. Upgrades to Alabama Power Company Hydroelectric Developments

    SciTech Connect (OSTI)

    Crew, James F.; Johnson, Herbie N.

    2015-03-31

    From 2010 to 2014, Alabama Power Company (“Alabama Power”) performed upgrades on four units at three of the hydropower developments it operates in east-central Alabama under licenses issued by the Federal Energy Regulatory Commission (“FERC”). These three hydropower developments are located on the Coosa River in Coosa, Chilton, and Elmore counties in east-central Alabama.

  6. SEP Success Story: Alabama Institute for Deaf and Blind to Launch...

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

    Alabama Institute for Deaf and Blind to Launch Lighting Project SEP Success Story: Alabama ... SEP Success Story: Local Program Helps Alabama Manufacturers Add Jobs, Reduce Waste and ...

  7. Alternative Fuels Data Center: Alabama Transportation Data for Alternative

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Fuels and Vehicles Alabama Transportation Data for Alternative Fuels and Vehicles to someone by E-mail Share Alternative Fuels Data Center: Alabama Transportation Data for Alternative Fuels and Vehicles on Facebook Tweet about Alternative Fuels Data Center: Alabama Transportation Data for Alternative Fuels and Vehicles on Twitter Bookmark Alternative Fuels Data Center: Alabama Transportation Data for Alternative Fuels and Vehicles on Google Bookmark Alternative Fuels Data Center: Alabama

  8. Alternative Fuels Data Center: Alabama City Leads With Biodiesel and

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    Ethanol Alabama City Leads With Biodiesel and Ethanol to someone by E-mail Share Alternative Fuels Data Center: Alabama City Leads With Biodiesel and Ethanol on Facebook Tweet about Alternative Fuels Data Center: Alabama City Leads With Biodiesel and Ethanol on Twitter Bookmark Alternative Fuels Data Center: Alabama City Leads With Biodiesel and Ethanol on Google Bookmark Alternative Fuels Data Center: Alabama City Leads With Biodiesel and Ethanol on Delicious Rank Alternative Fuels Data

  9. AlabamaSAVES Revolving Loan Program

    Broader source: Energy.gov [DOE]

    NOTE: Starting July 1, 2016, the AlabamaSAVES program will transition into a participating loan program. The program will continue to receive applications for the current program until March 31,...

  10. City of Tuskegee, Alabama (Utility Company) | Open Energy Information

    Open Energy Info (EERE)

    Tuskegee, Alabama (Utility Company) Jump to: navigation, search Name: City of Tuskegee Place: Alabama Phone Number: (334) 720-0799 or (334) 720-0700 Website: www.yourubt.com...

  11. City of Huntsville, Alabama (Utility Company) | Open Energy Informatio...

    Open Energy Info (EERE)

    Huntsville, Alabama (Utility Company) Jump to: navigation, search Name: Huntsville City of Place: Alabama Phone Number: 1-866-478-8845 or 256-535-1200 Website: www.hsvutil.org...

  12. City of Muscle Shoals, Alabama (Utility Company) | Open Energy...

    Open Energy Info (EERE)

    Shoals, Alabama (Utility Company) Jump to: navigation, search Name: City of Muscle Shoals Place: Alabama Phone Number: (256) 386-9293 Website: www.mseb.net Outage Hotline: (256)...

  13. ,"Alabama Natural Gas Gross Withdrawals from Shale Gas (Million...

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

    2015 12:34:05 PM" "Back to Contents","Data 1: Alabama Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSSALMMCF" "Date","Alabama...

  14. ,"Alabama Natural Gas Industrial Price (Dollars per Thousand...

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

    586-8800",,,"1292016 12:15:20 AM" "Back to Contents","Data 1: Alabama Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035AL3" "Date","Alabama...

  15. ,"Alabama Natural Gas Industrial Price (Dollars per Thousand...

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

    586-8800",,,"1292016 12:15:19 AM" "Back to Contents","Data 1: Alabama Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035AL3" "Date","Alabama...

  16. Domestic Coal Distribution 2009 Q1 by Origin State: Alabama

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

    Q1 by Origin State: Alabama (1000 Short Tons) 1 58 Domestic Coal Distribution 2009 Q1 by Origin State: Alabama (1000 Short Tons) Destination State Transportation Mode Electricity...

  17. Domestic Coal Distribution 2009 Q1 by Destination State: Alabama

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

    4 Domestic Coal Distribution 2009 Q1 by Destination State: Alabama (1000 Short Tons) 1 64 Domestic Coal Distribution 2009 Q1 by Destination State: Alabama (1000 Short Tons)...

  18. Domestic Coal Distribution 2009 Q2 by Origin State: Alabama

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

    Q2 by Origin State: Alabama (1000 Short Tons) 1 58 Domestic Coal Distribution 2009 Q2 by Origin State: Alabama (1000 Short Tons) Destination State Transportation Mode Electricity...

  19. Domestic Coal Distribution 2009 Q2 by Destination State: Alabama

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

    61 Domestic Coal Distribution 2009 Q2 by Destination State: Alabama (1000 Short Tons) 1 61 Domestic Coal Distribution 2009 Q2 by Destination State: Alabama (1000 Short Tons)...

  20. Alabama Recovery Act State Memo | Department of Energy

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

    Alabama Recovery Act State Memo Alabama Recovery Act State Memo Alabama has substantial natural resources, including gas, coal, biomass, geothermal, and hydroelectric power. The American Recovery & Reinvestment Act (ARRA) is making a meaningful down payment on the nation's energy and environmental future. The Recovery Act investments in Alabama are supporting a broad range of clean energy projects, from energy efficiency and the electric grid to renewable energy and carbon capture and

  1. Alabama State Historic Preservation Programmatic Agreement | Department of

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

    Energy Alabama State Historic Preservation Programmatic Agreement Alabama State Historic Preservation Programmatic Agreement Fully executed programmatic agreement between the U.S. Department of Energy, the Alabama Energy and Weatherization Offices and the Alabama State Historic Preservation Office regarding EECBG, SEP and WAP undertakings. PDF icon state_historic_preservation_programmatic_agreement_al.pdf More Documents & Publications New Hampshire State Historic Preservation

  2. Energy Upgrades to Alabama Trauma Center Help Improve Patient Care

    Broader source: Energy.gov [DOE]

    In Alabama, a Recovery Act grant is helping a hospital save energy while providing better care to its patients.

  3. ALABAMA GETS WISE ABOUT SELLING UPGRADES | Department of Energy

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

    ALABAMA GETS WISE ABOUT SELLING UPGRADES ALABAMA GETS WISE ABOUT SELLING UPGRADES ALABAMA GETS WISE ABOUT SELLING UPGRADES With goal of sharing knowledge about each state's efforts, the Alabama Department of Economic and Community Affairs (ADECA) teamed up with the National Association of State Energy Offices (NASEO) and the energy departments of Washington, Massachusetts, and Virginia to form a multistate residential energy efficiency collaborative. Using $3 million in seed funding from the

  4. Alabama -- SEP Summary of Reported Data | Department of Energy

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

    Summary of Reported Data Alabama -- SEP Summary of Reported Data Summary of data reported by Better Buildings Neighborhood Program partner Alabama -- SEP. PDF icon Alabama Summary of Reported Data More Documents & Publications Virginia -- SEP Summary of Reported Data NYSERDA Summary of Reported Data Michigan -- SEP Summary of Reported Data

  5. Categorical Exclusion Determination (Georgia-Alabama-SouthCarolina System)

    Energy Savers [EERE]

    | Department of Energy Categorical Exclusion Determination (Georgia-Alabama-SouthCarolina System) Categorical Exclusion Determination (Georgia-Alabama-SouthCarolina System) PDF icon Proposed rate adjustment for the Georgia-Alabama-South Carolina System of Projects More Documents & Publications CX-001068: Categorical Exclusion Determination SOCO-4-E Wholesale Power Rate Schedule Regulation-1

  6. Geology, hydrothermal petrology, stable isotope geochemistry, and fluid inclusion geothermometry of LASL geothermal test well C/T-1 (Mesa 31-1), East Mesa, Imperial Valley, California, USA

    SciTech Connect (OSTI)

    Miller, K.R.; Elders, W.A.

    1980-08-01

    Borehole Mesa 31-1 (LASL C/T-1) is an 1899-m (6231-ft) deep well located in the northwestern part of the East Mesa Geothermal Field. Mesa 31-1 is the first Calibration/Test Well (C/T-1) in the Los Alamos Scientific Laboratory (LASL), Geothermal Log Interpretation Program. The purpose of this study is to provide a compilation of drillhole data, drill cuttings, well lithology, and formation petrology that will serve to support the use of well LASL C/T-1 as a calibration/test well for geothermal logging. In addition, reviews of fluid chemistry, stable isotope studies, isotopic and fluid inclusion geothermometry, and the temperature log data are presented. This study provides the basic data on the geology and hydrothermal alteration of the rocks in LASL C/T-1 as background for the interpretation of wireline logs.

  7. Local Program Helps Alabama Manufacturers Add Jobs, Reduce Waste and

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

    Increase Profits | Department of Energy Local Program Helps Alabama Manufacturers Add Jobs, Reduce Waste and Increase Profits Local Program Helps Alabama Manufacturers Add Jobs, Reduce Waste and Increase Profits April 8, 2014 - 11:30am Addthis ZF North America used Alabama E3 funding to create a recycling program that saves more than $100,000 a year in trash pickup and landfill fees. Pictured here are workers in the Tuscaloosa location, which provides Mercedes with complete axle systems. |

  8. DOE-Sponsored Project Begins Demonstrating CCUS Technology in Alabama |

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

    Department of Energy Project Begins Demonstrating CCUS Technology in Alabama DOE-Sponsored Project Begins Demonstrating CCUS Technology in Alabama August 22, 2012 - 1:00pm Addthis Washington, DC - Carbon dioxide (CO2) injection has begun at the world's first fully integrated coal power and geologic storage project in southwest Alabama, with the goals of assessing integration of the technologies involved and laying the foundation for future use of CO2 for enhanced oil recovery (EOR). The

  9. SEP Success Story: Local Program Helps Alabama Manufacturers Add Jobs,

    Energy Savers [EERE]

    Reduce Waste and Increase Profits | Department of Energy Local Program Helps Alabama Manufacturers Add Jobs, Reduce Waste and Increase Profits SEP Success Story: Local Program Helps Alabama Manufacturers Add Jobs, Reduce Waste and Increase Profits April 8, 2014 - 10:06am Addthis ZF North America used Alabama E3 funding to create a recycling program that saves more than $100,000 a year in trash pickup and landfill fees. Pictured here are workers in the Tuscaloosa location, which provides

  10. Local Program Helps Alabama Manufacturers Add Jobs, Reduce Waste and

    Office of Environmental Management (EM)

    Increase Profits | Department of Energy Local Program Helps Alabama Manufacturers Add Jobs, Reduce Waste and Increase Profits Local Program Helps Alabama Manufacturers Add Jobs, Reduce Waste and Increase Profits April 8, 2014 - 11:30am Addthis ZF North America used Alabama E3 funding to create a recycling program that saves more than $100,000 a year in trash pickup and landfill fees. Pictured here are workers in the Tuscaloosa location, which provides Mercedes with complete axle systems. |

  11. DOE - Office of Legacy Management -- Alabama Ordnance Works - AL 02

    Office of Legacy Management (LM)

    Alabama Ordnance Works - AL 02 FUSRAP Considered Sites Site: Alabama Ordnance Works (AL.02 ) Eliminated from consideration under FUSRAP - Referred to DoD Designated Name: Not Designated Alternate Name: None Location: Sylacauga , Alabama AL.02-1 Evaluation Year: 1987 AL.02-1 Site Operations: Involved in the production of heavy water for the MED. AL.02-1 Site Disposition: Eliminated - No indication of residual radioactive contamination - Referred to DOD AL.02-1 Radioactive Materials Handled: None

  12. Alabama Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    U.S. Offshore U.S. State Offshore Federal Offshore U.S. Alaska Alaska Onshore Alaska Offshore Alaska State Offshore Arkansas California California Onshore California Offshore California State Offshore Federal Offshore California Colorado Federal Offshore Gulf of Mexico Federal Offshore Alabama Federal Offshore Louisiana Federal Offshore Texas Kansas Louisiana Louisiana Onshore Louisiana Offshore Louisiana State Offshore Montana New Mexico North Dakota Ohio Oklahoma Pennsylvania Texas Texas

  13. Alabama Natural Gas Gross Withdrawals and Production

    Gasoline and Diesel Fuel Update (EIA)

    Alaska Arkansas California Colorado Federal Offshore Gulf of Mexico Kansas Louisiana Montana New Mexico North Dakota Ohio Oklahoma Pennsylvania Texas Utah West Virginia Wyoming Other States Total Alabama Arizona Florida Illinois Indiana Kentucky Maryland Michigan Mississippi Missouri Nebraska Nevada New York Oregon South Dakota Tennessee Virginia Period-Unit: Monthly-Million Cubic Feet Monthly-Million Cubic Feet per Day Annual-Million Cubic Feet Download Series History Download Series History

  14. Alabama Pine Pulp Biomass Facility | Open Energy Information

    Open Energy Info (EERE)

    2006 Database Retrieved from "http:en.openei.orgwindex.php?titleAlabamaPinePulpBiomassFacility&oldid397129" Feedback Contact needs updating Image needs updating...

  15. Clay County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Alabama: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 33.279527, -85.8486236 Show Map Loading map... "minzoom":false,"mappingservice":"googl...

  16. Walker County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Walker County, Alabama: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 33.8563605, -87.3016132 Show Map Loading map... "minzoom":false,"mappin...

  17. EECBG Success Story: Managing Storm Aftermath in Alabama

    Broader source: Energy.gov [DOE]

    Thanks to a $2.5 million Energy Efficiency Conservation Block Grant (EECBG), Montgomery, Alabama will revamp its landfill sorting efforts and retrofit its historical city. Learn more.

  18. Chambers County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Chambers County, Alabama: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 32.9028048, -85.354965 Show Map Loading map... "minzoom":false,"mappi...

  19. Alabama -- SEP Summary of Reported Data | Department of Energy

    Energy Savers [EERE]

    -- SEP. PDF icon Alabama Summary of Reported Data More Documents & Publications Virginia -- SEP Summary of Reported Data NYSERDA Summary of Reported Data Michigan -- SEP...

  20. ,"Federal Offshore, Gulf of Mexico, Louisiana & Alabama Nonassociated...

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

    Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore, Gulf of Mexico, Louisiana & Alabama Nonassociated Natural Gas Proved Reserves, Wet After Lease...

  1. ,"Federal Offshore, Gulf of Mexico, Louisiana & Alabama Crude...

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

    Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore, Gulf of Mexico, Louisiana & Alabama Crude Oil plus Lease Condensate Proved Reserves",10,"Annual",2014...

  2. ,"Federal Offshore, Gulf of Mexico, Louisiana & Alabama Associated...

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

    Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore, Gulf of Mexico, Louisiana & Alabama Associated-Dissolved Natural Gas Proved Reserves, Wet After Lease...

  3. ,"Federal Offshore, Gulf of Mexico, Louisiana & Alabama Dry Natural...

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

    Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore, Gulf of Mexico, Louisiana & Alabama Dry Natural Gas Proved Reserves",10,"Annual",2014,"06301981"...

  4. ,"Federal Offshore, Gulf of Mexico, Louisiana & Alabama Coalbed...

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

    Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore, Gulf of Mexico, Louisiana & Alabama Coalbed Methane Proved Reserves, Reserves Changes, and...

  5. Local Program Helps Alabama Manufacturers Add Jobs, Reduce Waste...

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

    ... Electricfil Corporation, located in Elkmont, Alabama, used E3 funding to implement energy-efficient lighting upgrades, start a recycling program for waste within the facility and ...

  6. ALABAMA GETS WISE ABOUT SELLING UPGRADES | Department of Energy

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

    ... In an effort to minimize expenditures, AlabamaWISE invested less in broad marketing ... Amplify efforts through program branding. A successful residential energy efficiency ...

  7. Central Alabama Electric Cooperative- Residential Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    Central Alabama Electric Cooperative, a Touchstone Electric Cooperative, offers the Touchstone Energy Home Program. Touchstone Energy Homes with a dual-fuel or geothermal heat pump qualify for...

  8. Washington County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Washington County, Alabama: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 31.3422346, -88.2461183 Show Map Loading map......

  9. Energy Secretary Bodman Tours Alabama Red Cross Facility and...

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

    Secretary Bodman also joined Alabama Governor Bob Riley, religious leaders and Alabamans at Frazer United Methodist Church for a National Day of Prayer and Remembrance service to ...

  10. 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...

  11. FUPWG Meeting Agenda - Mobile, Alabama | Department of Energy

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

    Mobile, Alabama FUPWG Meeting Agenda - Mobile, Alabama October 16-17, 2012 Hosted by Alabama Power Tuesday, October 16, 2012 8:30 am Welcome Greg Reardon, Alabama Power Bob Chappelle, Mobile Area Chamber of Commerce 8:45 am Chairman's Corner David McAndrew, FEMP 9:00 am Washington Update Tim Unruh, FEMP 9:30 am Air Force Real Property Agency Enhanced Use Lease Program Brian Brown, Air Force Real Property Agency Strategic Asset Utilization Dave Swanson, Air Force Real Property Agency Strategic

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

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Alabama--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","129...

  13. ,"Alabama--State Offshore Natural Gas Marketed Production (MMcf...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Alabama--State Offshore Natural Gas Marketed Production (MMcf)",1,"Annual",2014 ,"Release Date:","1...

  14. Alabama Family Staying Nice and Cozy This Fall

    Broader source: Energy.gov [DOE]

    Recovery Act money to weatherize homes has resulted in much lower energy bills for Alabama families, including Mary, whose bill is about $300 cheaper now.

  15. ,"Alabama Natural Gas Vehicle Fuel Price (Dollars per Thousand...

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

    Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release...

  16. ,"Alabama Natural Gas Price Sold to Electric Power Consumers...

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

    ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

  17. SEP Success Story: Local Program Helps Alabama Manufacturers...

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

    SEP Success Story: Local Program Helps Alabama Manufacturers Add Jobs, Reduce Waste and ... Learn more. Addthis Related Articles SEP Success Story: Helping Wisconsin Small Businesses ...

  18. Perry County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Perry County, Alabama: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 32.598888, -87.3016132 Show Map Loading map... "minzoom":false,"mappings...

  19. Offshore Wind Power USA

    Broader source: Energy.gov [DOE]

    The Offshore Wind Power USA conference provides the latest offshore wind market updates and forecasts.

  20. Reservoir characterization of the Smackover Formation in southwest Alabama

    SciTech Connect (OSTI)

    Kopaska-Merkel, D.C.; Hall, D.R.; Mann, S.D.; Tew, B.H.

    1993-02-01

    The Upper Jurassic Smackover Formation is found in an arcuate belt in the subsurface from south Texas to panhandle Florida. The Smackover is the most prolific hydrocarbon-producing formation in Alabama and is an important hydrocarbon reservoir from Florida to Texas. In this report Smackover hydrocarbon reservoirs in southwest Alabama are described. Also, the nine enhanced- and improved-recovery projects that have been undertaken in the Smackover of Alabama are evaluated. The report concludes with recommendations about potential future enhanced- and improved-recovery projects in Smackover reservoirs in Alabama and an estimate of the potential volume of liquid hydrocarbons recoverable by enhanced- and improved-recovery methods from the Smackover of Alabama.

  1. Alabama Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Alabama Coalbed Methane 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 23 1990's 36 68 89 103 108 109 98 111 123 108 2000's 109 111 117 98 121 113 114 114 107 105 2010's 102 98 91 62 78 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane

  2. Alabama Institute for Deaf and Blind Biodiesel Project Green

    SciTech Connect (OSTI)

    Edmiston, Jessica L

    2012-09-28

    Through extensive collaboration, Alabama Institute for Deaf and Blind (AIDB) is Alabama's first educational entity to initiate a biodiesel public education, student training and production program, Project Green. With state and national replication potential, Project Green benefits local businesses and city infrastructures within a 120-mile radius; provides alternative education to Alabama school systems and to schools for the deaf and blind in Appalachian States; trains students with sensory and/or multiple disabilities in the acquisition and production of biodiesel; and educates the external public on alternative fuels benefits.

  3. Pike County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Pike County is a county in Alabama. Its FIPS County Code is 109. It is classified as ASHRAE...

  4. Alabama Power- Residential Heat Pump and Weatherization Loan Programs

    Broader source: Energy.gov [DOE]

    Alabama Power offers low-interest loans to residential customers to purchase and install new heat pumps and a variety of weatherization measures. The loans require no money down and can be used to...

  5. Origin State Destination State STB EIA STB EIA Alabama

    Gasoline and Diesel Fuel Update (EIA)

    81.4% Illinois Alabama W W W W W W W W Illinois Florida W W W W W W W W Transportation cost per short ton (nominal) Shipments with transportation rates over total shipments...

  6. Marion County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Marion County is a county in Alabama. Its FIPS County Code is 093. It is classified as ASHRAE...

  7. Henry County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Henry County is a county in Alabama. Its FIPS County Code is 067. It is classified as ASHRAE...

  8. Montgomery County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Montgomery County is a county in Alabama. Its FIPS County Code is 101. It is classified as...

  9. City of Evergreen, Alabama (Utility Company) | Open Energy Information

    Open Energy Info (EERE)

    Evergreen Place: Alabama Phone Number: 251-578-1574 Website: www.evergreenal.orgindex.php Outage Hotline: 251-578-1574 References: EIA Form EIA-861 Final Data File for 2010 -...

  10. Butler County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Butler County is a county in Alabama. Its FIPS County Code is 013. It is classified as ASHRAE...

  11. Jackson County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Jackson County is a county in Alabama. Its FIPS County Code is 071. It is classified as...

  12. Lee County, Alabama: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Lee County is a county in Alabama. Its FIPS County Code is 081. It is classified as ASHRAE...

  13. Alabama Natural Gas in Underground Storage (Working Gas) (Million...

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

    Working Gas) (Million Cubic Feet) Alabama Natural Gas in Underground Storage (Working Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1995 499 497...

  14. Alabama Natural Gas in Underground Storage (Base Gas) (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Base Gas) (Million Cubic Feet) Alabama Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1995 880 880 880 880...

  15. Two Alabama Elementary Schools Get Cool with New HVAC Units

    Broader source: Energy.gov [DOE]

    Addison Elementary School and Double Springs Elementary School in northwestern Alabama were warm. Some classrooms just didn’t cool fast enough. The buildings, which were built almost 20 years ago, were in need of new HVAC units.

  16. Alabama--State Offshore Natural Gas Dry Production (Million Cubic...

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

    State Offshore Natural Gas Dry Production (Million Cubic Feet) Alabama--State Offshore Natural Gas Dry Production (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

  17. Federal Offshore--Alabama Natural Gas Withdrawals from Oil Wells...

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

    Oil Wells (Million Cubic Feet) Federal Offshore--Alabama Natural Gas Withdrawals from Oil Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  18. Federal Offshore--Alabama Natural Gas Withdrawals from Gas Wells...

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

    Gas Wells (Million Cubic Feet) Federal Offshore--Alabama Natural Gas Withdrawals from Gas Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  19. Alabama--State Offshore Natural Gas Withdrawals from Gas Wells...

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

    Withdrawals from Gas Wells (Million Cubic Feet) Alabama--State Offshore Natural Gas Withdrawals from Gas Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

  20. Alabama Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Alabama Regions National Science Bowl® (NSB) NSB Home About High School High School Students High School Coaches High School Regionals High School Rules, Forms, and Resources Middle School Attending National Event Volunteers 2015 Competition Results News Media WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 P: 202-586-6702 E: Email Us High School Regionals Alabama Regions Print Text Size: A

  1. Alabama Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Alabama Regions National Science Bowl® (NSB) NSB Home About High School Middle School Middle School Students Middle School Coaches Middle School Regionals Middle School Rules, Forms, and Resources Attending National Event Volunteers 2015 Competition Results News Media WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 P: 202-586-6702 E: Email Us Middle School Regionals Alabama Regions Print

  2. Managing Storm Aftermath in Alabama | Department of Energy

    Office of Environmental Management (EM)

    Managing Storm Aftermath in Alabama Managing Storm Aftermath in Alabama June 18, 2010 - 3:19pm Addthis Montgomery's horizontal grinder has normal handling capacity of 108 tons per hour. | Photo Courtesy of Lynda Wool Montgomery's horizontal grinder has normal handling capacity of 108 tons per hour. | Photo Courtesy of Lynda Wool Lindsay Gsell Warm, humid climate and proximity to the Gulf of Mexico produce turbulent weather patterns that regularly bring tornadoes and hurricanes to Montgomery,

  3. Alabama Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Alabama Natural Gas Processed (Million 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 57,208 1970's 0 0 0 0 0 0 25,517 31,610 32,806 1980's 38,572 41,914 38,810 42,181 45,662 48,382 49,341 52,511 55,939 1990's 58,136 76,739 126,910 132,222 136,195 118,688 112,868 114,411 107,334 309,492 2000's 372,136 285,953 290,164 237,377 263,426 255,157 287,278 257,443 253,028 248,232 2010's 242,444 230,546 87,269 89,258 80,590 -

  4. Research and Services at the Alabama A&M University Research...

    Office of Environmental Management (EM)

    Research and Services at the Alabama A&M University Research Institute Research and Services at the Alabama A&M University Research Institute An overview of services and research...

  5. Solar LED Light Pilot Project Illuminates the Way in Alabama | Department

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

    of Energy LED Light Pilot Project Illuminates the Way in Alabama Solar LED Light Pilot Project Illuminates the Way in Alabama September 12, 2012 - 2:15pm Addthis Boaz, Alabama Mayor Tim Walker, along with state representatives and community leaders, cut the ribbon for the state's solar LED light pilot project. | Photo courtesy of Lionel Green, Sand Mountain Reporter. Boaz, Alabama Mayor Tim Walker, along with state representatives and community leaders, cut the ribbon for the state's solar

  6. Integrated Distribution Management System for Alabama Principal Investigator

    SciTech Connect (OSTI)

    Schatz, Joe

    2013-03-31

    Southern Company Services, under contract with the Department of Energy, along with Alabama Power, Alstom Grid (formerly AREVA T&D) and others moved the work product developed in the first phase of the Integrated Distribution Management System (IDMS) from Proof of Concept to true deployment through the activity described in this Final Report. This Project Integrated Distribution Management Systems in Alabama advanced earlier developed proof of concept activities into actual implementation and furthermore completed additional requirements to fully realize the benefits of an IDMS. These tasks include development and implementation of a Distribution System based Model that enables data access and enterprise application integration.

  7. Alabama (with State Offshore) Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Alabama (with State Offshore) Shale 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 2000's 0 0 0 2010's 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas Estimated Production Alabama Shale Gas Proved Reserves, Reserves Changes, and Production Shale Gas

  8. Alabama (with State Offshore) Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Shale Proved Reserves (Billion Cubic Feet) Alabama (with State Offshore) Shale Proved 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 2000's 1 2 0 2010's 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas Proved Reserves as of Dec. 31 Alabama Shale Gas Proved Reserves,

  9. Heavy liquid beneficiation developed for Alabama tar sands

    SciTech Connect (OSTI)

    Not Available

    1986-12-01

    The tar sand deposits in the State of Alabama contain about 1.8 billion barrels of measured and more than 4 billion barrels of speculative in-place bitumen. A comprehensive research program is in progress for the separation of bitumen from these deposits. In general, Alabama tar sands are oil wetted, low grade and highly viscous in nature. In view of these facts, a beneficiation strategy has been developed to recover bitumen enriched concentrate which can be used as a feed material for further processing. Heavy liquid separation tests and results are discussed. A 77% zinc bromide solution, specific gravity of 2.4, was used for the tests. 2 figures.

  10. Alabama Dry Natural Gas Reserves Acquisitions (Billion Cubic Feet)

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

    Acquisitions (Billion Cubic Feet) Alabama Dry Natural Gas Reserves Acquisitions (Billion 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 237 3 0 264 0 431 253 379 21 0 2010's 148 383 21 183 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Dry Natural Gas Reserves Acquisitions Alabama Dry Natural Gas

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

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

    Sales (Billion Cubic Feet) Alabama Dry Natural Gas Reserves Sales (Billion 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 140 1 6 246 29 419 188 302 10 2 2010's 263 573 11 357 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Dry Natural Gas Reserves Sales Alabama Dry Natural Gas Proved Reserves Dry

  12. Alabama--Onshore Natural Gas Dry Production (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Onshore Natural Gas Dry Production (Million Cubic Feet) Alabama--Onshore Natural Gas Dry Production (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 125,180 106,903 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Natural Gas Dry Production Alabama Onshore

  13. Vestas USA | Open Energy Information

    Open Energy Info (EERE)

    USA Jump to: navigation, search Name: Vestas USA Place: Rolling Meadows, Illinois Zip: IL 60008-4030 Sector: Wind energy Product: Vestas Wind Systems American arm. References:...

  14. SEP Success Story: Alabama Institute for Deaf and Blind to Launch Lighting

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

    Project | Department of Energy Alabama Institute for Deaf and Blind to Launch Lighting Project SEP Success Story: Alabama Institute for Deaf and Blind to Launch Lighting Project August 20, 2010 - 9:44am Addthis The Alabama Institute for Deaf and Blind is replacing almost 2,900 lights in 19 buildings across its campuses.| Photo courtesy of Alabama Institute for Deaf and Blind The Alabama Institute for Deaf and Blind is replacing almost 2,900 lights in 19 buildings across its campuses.| Photo

  15. EECBG Success Story: Alabama Justice Center Expands its Solar Capabilities

    Broader source: Energy.gov [DOE]

    At the T.K. Davis Justice Center in Opelika, Alabama, the county is making an effort to reduce costs and help the environment by installing renewable energy projects, including solar panels on the center’s roof and on poles around the property, thanks to funding from an Energy Efficiency and Conservation Block Grant (EECBG). Learn more.

  16. Arlington, VA 22209 USA

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

    600, 1901 North Moore Street Arlington, VA 22209 USA Phone: (703) 522-0086 * Fax: (703) 522-0548 governmentaffairs@hpba.org www.hpba.org U.S. Department of Energy Mr. Daniel Cohen ...

  17. Arlington, VA 22209 USA

    Energy Savers [EERE]

    22209 USA Phone: (703) 522-0086 * Fax: (703) 522-0548 Email: governmentaffairs@hpba.org Web Site: www.hpba.org Before the Department of Energy Docket No. EERE-2014-BT-STD-0036 RIN ...

  18. Solar Unlimited USA | Open Energy Information

    Open Energy Info (EERE)

    USA Jump to: navigation, search Logo: Solar Unlimited USA Name: Solar Unlimited USA Address: 2353 Park Ave. Place: Cedar City, Utah Zip: 84721 Region: Rockies Area Sector: Solar...

  19. Geo processors USA | Open Energy Information

    Open Energy Info (EERE)

    processors USA Jump to: navigation, search Name: Geo-processors USA Place: California Zip: 91204 Sector: Carbon Product: California based Geo-procesors USA has developed an...

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

    Gasoline and Diesel Fuel Update (EIA)

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

  1. Alabama Quantity of Production Associated with Reported Wellhead Value

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

    (Million Cubic Feet) Alabama Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Alabama Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 59,051 56,685 42,925 34,164 35,674 45,488 41,614 1990's 37,229 35,972 51,219 75,474 70,489 54,964 493,069 583,370 560,414 544,020 2000's 521,215 376,241 370,753 348,722 304,212 285,237 274,176 259,062

  2. Slide 1 | Department of Energy

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

    Alabama

  3. NETL CT Imaging Facility

    SciTech Connect (OSTI)

    2013-09-04

    NETL's CT Scanner laboratory is equipped with three CT scanners and a mobile core logging unit that work together to provide characteristic geologic and geophysical information at different scales, non-destructively.

  4. NETL CT Imaging Facility

    ScienceCinema (OSTI)

    None

    2014-05-21

    NETL's CT Scanner laboratory is equipped with three CT scanners and a mobile core logging unit that work together to provide characteristic geologic and geophysical information at different scales, non-destructively.

  5. EECBG Success Story: Solar LED Light Pilot Project Illuminates the Way in Alabama

    Broader source: Energy.gov [DOE]

    A strip of new solar-powered LED streetlights in Boaz, Alabama were installed with grant funds from the Alabama Department of Economic and Community Affairs and $221,900 from the Energy Department through the Energy Efficiency and Conservation Block Grant (EECBG) program. Learn more.

  6. Alabama Institute for Deaf and Blind to Launch Lighting Project

    Broader source: Energy.gov [DOE]

    For over a century, students at the Alabama Institute for Deaf and Blind (AIDB) have proudly displayed the school colors—blue and red—in the hallways, classrooms and dorm rooms. But this school year, they’re “Going Green.” The 152-year-old institute is replacing almost 2,900 lights in 19 buildings across its Talladega, Ala., campuses with energy-efficient fixtures, an upgrade expected to save the institute over $20,000 a year on utility bills.

  7. Federal Offshore--Alabama Natural Gas Marketed Production (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Marketed Production (Million Cubic Feet) Federal Offshore--Alabama Natural Gas Marketed Production (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 79,294 86,515 120,502 143,703 152,055 194,677 170,320 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Natural Gas Marketed Production

  8. Federal Offshore--Louisiana and Alabama Natural Gas Liquids Lease

    Gasoline and Diesel Fuel Update (EIA)

    Condensate, Proved Reserves (Million Barrels) Proved Reserves (Million Barrels) Federal Offshore--Louisiana and Alabama Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 256 230 223 223 278 1990's 258 253 226 235 233 305 422 433 435 430 2000's 433 325 300 251 205 196 185 163 151 134 2010's 129 129 98 88 108 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  9. Federal Offshore--Louisiana and Alabama Natural Gas Liquids Lease

    Gasoline and Diesel Fuel Update (EIA)

    Condensate, Reserves Based Production (Million Barrels) Reserves Based Production (Million Barrels) Federal Offshore--Louisiana and Alabama Natural Gas Liquids Lease Condensate, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 34 28 27 29 32 1990's 33 34 35 35 37 40 49 59 57 61 2000's 76 60 60 53 49 39 37 40 28 28 2010's 28 24 20 14 15 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  10. Gulf of Mexico Federal Offshore - Louisiana and Alabama

    Gasoline and Diesel Fuel Update (EIA)

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Gulf of Mexico Federal Offshore - Louisiana and Alabama Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved 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 1980's 5,875 1990's 5,098 5,085 4,637 4,570 4,982 5,385 5,492

  11. Gulf of Mexico Federal Offshore - Louisiana and Alabama Coalbed Methane

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Gulf of Mexico Federal Offshore - Louisiana and Alabama Coalbed Methane Proved 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 2000's 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane Proved Reserves as of Dec.

  12. Gulf of Mexico Federal Offshore - Louisiana and Alabama Nonassociated

    Gasoline and Diesel Fuel Update (EIA)

    Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Gulf of Mexico Federal Offshore - Louisiana and Alabama Nonassociated Natural Gas, Wet After Lease Separation, Proved 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 1980's 22,897 1990's 17,952 16,943 15,369 15,181 16,226 16,279 16,627 16,241 15,427 14,950 2000's

  13. Alabama (with State Offshore) Crude Oil Reserves in Nonproducing Reservoirs

    Gasoline and Diesel Fuel Update (EIA)

    (Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Alabama (with State Offshore) Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 4 2 2000's 2 4 1 2 2 2 0 0 0 0 2010's 0 1 2 2 15 - = 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

  14. Alabama (with State Offshore) Natural Gas Liquids Lease Condensate,

    Gasoline and Diesel Fuel Update (EIA)

    Reserves Based Production (Million Barrels) Reserves Based Production (Million Barrels) Alabama (with State Offshore) Natural Gas Liquids Lease Condensate, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 8 1980's 12 12 12 11 12 12 11 10 11 12 1990's 10 10 10 8 8 8 7 6 4 4 2000's 5 4 4 3 2 3 2 2 2 2 2010's 2 2 2 2 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  15. Alabama (with State Offshore) Natural Gas Liquids Lease Condensate, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Million Barrels) Proved Reserves (Million Barrels) Alabama (with State Offshore) Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 182 1980's 193 167 158 166 152 143 139 132 130 130 1990's 122 110 118 103 91 72 67 59 50 50 2000's 46 32 29 27 21 30 15 21 14 16 2010's 18 19 18 14 13 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  16. Alabama (with State Offshore) Natural Gas Plant Liquids, Expected Future

    Gasoline and Diesel Fuel Update (EIA)

    Production (Million Barrels) Expected Future Production (Million Barrels) Alabama (with State Offshore) Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 31 1980's 33 25 35 50 48 39 38 34 36 38 1990's 48 35 53 55 51 48 52 34 31 57 2000's 104 32 28 33 29 31 41 32 92 55 2010's 68 68 55 51 59 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  17. Alabama (with State Offshore) Natural Gas Plant Liquids, Reserves Based

    Gasoline and Diesel Fuel Update (EIA)

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

  18. Alabama Associated-Dissolved Natural Gas, Wet After Lease Separation,

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Alabama Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved 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 13 1980's 23 25 1990's 25 23 30 46 56 44 38 30 28 27 2000's 29 26 31 32 32 29 18 20 19 29 2010's 38 48 100 46 141 - = No Data Reported; -- = Not Applicable; NA = Not

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

    Gasoline and Diesel Fuel Update (EIA)

    Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Alabama Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 53 2010's 60 65 69 58 79 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate Proved Reserves, as of Dec.

  20. Alabama Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Net Withdrawals (Million Cubic Feet) Alabama Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 185 30 66 -580 459 -459 132 -46 164 -422 1990's 456 -19 239 215 448 -164 -303 425 32 -219 2000's -285 -136 298 -47 19 114 -7 -209 -73 178 2010's -21 -75 -22 63 -206 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

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

    Gasoline and Diesel Fuel Update (EIA)

    Liquids, Proved Reserves (Million Barrels) Alabama Natural Gas Plant Liquids, Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 213 1980's 226 192 193 216 200 182 177 166 166 168 1990's 170 145 171 158 142 120 119 93 81 107 2000's 150 64 57 60 50 61 56 53 106 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

  2. Recent two-stage coal liquefaction results from Wilsonville, Alabama

    SciTech Connect (OSTI)

    Rao, A.K.; Udani, L.H.; Nalitham, R.V.

    1985-01-01

    This paper presents results from two recent runs conducted at the Advanced Coal Liquefaction R and D facility of Wilsonville, Alabama. The first run was an extended demonstration of sub-bituminous coal liquefaction using an integrated two-stage liquefaction (ITSL) process. The second run employed a bituminous coal in a reconfigured two-stage process (RITLS) wherein the undeashed products from the first stage were hydrotreated prior to separation of coal ash. Good operability and satisfactory yield structure were demonstrated in both the runs.

  3. Alabama Dry Natural Gas Reserves Adjustments (Billion Cubic Feet)

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

    Adjustments (Billion Cubic Feet) Alabama Dry Natural Gas Reserves Adjustments (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 7 -12 -27 1980's 30 42 1990's 197 605 159 -644 27 -45 -44 -31 5 -17 2000's -56 36 72 -36 34 -27 -11 12 -71 46 2010's 32 -49 112 -274 502 - = 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. 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

  5. Alabama Dry Natural Gas Reserves Extensions (Billion Cubic Feet)

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

    Extensions (Billion Cubic Feet) Alabama Dry Natural Gas Reserves Extensions (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 50 42 44 1980's 64 12 1990's 1,014 229 35 378 80 118 177 34 19 1 2000's 175 169 289 315 131 85 146 123 59 20 2010's 28 3 0 0 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring

  6. Alabama Dry Natural Gas Reserves Revision Decreases (Billion Cubic Feet)

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

    Decreases (Billion Cubic Feet) Alabama Dry Natural Gas Reserves Revision Decreases (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 14 45 41 1980's 116 89 1990's 938 207 191 159 2,128 286 97 54 313 140 2000's 69 218 155 122 155 60 208 35 732 328 2010's 173 157 254 75 41 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

  7. Alabama Dry Natural Gas Reserves Revision Increases (Billion Cubic Feet)

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

    Increases (Billion Cubic Feet) Alabama Dry Natural Gas Reserves Revision Increases (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 35 129 1980's 69 119 1990's 759 773 545 44 2,101 481 502 348 309 215 2000's 74 78 130 588 162 135 234 163 283 99 2010's 206 455 99 67 140 - = 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:

  8. Alabama Natural Gas LNG Storage Additions (Million Cubic Feet)

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

    Additions (Million Cubic Feet) Alabama Natural Gas LNG Storage Additions (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 655 908 754 353 838 512 581 465 607 512 1990's 893 511 501 612 944 524 979 960 501 564 2000's 729 504 871 655 509 493 704 868 1,003 1,676 2010's 946 754 562 822 1,664 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next

  9. Alabama Natural Gas LNG Storage Withdrawals (Million Cubic Feet)

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

    Withdrawals (Million Cubic Feet) Alabama Natural Gas LNG Storage Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 470 878 688 933 379 971 449 511 444 934 1990's 437 530 262 396 497 688 1,282 535 469 783 2000's 1,014 641 573 607 528 606 698 1,078 1,076 1,498 2010's 968 829 583 759 1,869 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  10. LAPD Madison, Wisconsin USA

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

    6 th LAPD Madison, Wisconsin USA Sunday, 22 September 2013 Varsity Hall III, Union South 18:00-20:00 Reception and Registration Monday, 23 September 2013 Session I (8:30-12:30) Varsity Hall III, Union South Chairs: J-P. Booth, E. E. Scime Time Speaker Title Index 7:30-8:30 Continental Breakfast 8:30-8:45 D. J. Den Hartog Welcome 8:45-9:35 N. C. Luhmann, Jr. Millimeter Wave and THz Plasma Diagnostic Development AK (1) 9:35-10:00 L. Lin Laser-Based Faraday-Effect Measurement of Magnetic

  11. Alabama - Seds - U.S. Energy Information Administration (EIA...

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

    ... Tools A-Z Index All Reports & Publications EIA Survey Forms EIA Beta Policies PrivacySecurity Copyright & Reuse Accessibility Related Sites U.S. Department of Energy USA.gov ...

  12. DOE - Office of Legacy Management -- Seymour CT Site - CT 02

    Office of Legacy Management (LM)

    Seymour CT Site - CT 02 FUSRAP Considered Sites Seymour, CT Alternate Name(s): Bridgeport Brass Company Seymour Specialty Wire Reactive Metals, Inc. National Distillers and Chemical Co. Havens Plant CT.02-2 CT.02-3 CT.02-6 Location: 15 Franklin Street, Seymour, Connecticut CT.02-4 Historical Operations: Procured, processed and stored uranium oxides, salts, and metals for AEC and processed the products by cold-forming or extruding natural uranium metal. CT.02-3 CT.02-9 Eligibility Determination:

  13. Worldwide Energy and Manufacturing USA Inc formerly Worldwide...

    Open Energy Info (EERE)

    and Manufacturing USA Inc formerly Worldwide Manufacturing USA Jump to: navigation, search Name: Worldwide Energy and Manufacturing USA Inc (formerly Worldwide Manufacturing USA)...

  14. Gulf Of Mexico Natural Gas Processed in Alabama (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Alabama (Million Cubic Feet) Gulf Of Mexico Natural Gas Processed in Alabama (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 117,738 96,587 95,078 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Natural Gas Processed Gulf of Mexico-Alabama

  15. Alabama Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Alabama Coalbed Methane Proved 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 1980's 537 1990's 1,224 1,714 1,968 1,237 976 972 823 1,077 1,029 1,060 2000's 1,241 1,162 1,283 1,665 1,900 1,773 2,068 2,126 1,727 1,342 2010's 1,298 1,210 1,006 413 978 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next

  16. Alabama Dry Natural Gas Expected Future Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Expected Future Production (Billion Cubic Feet) Alabama Dry Natural Gas Expected Future 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 530 514 652 1980's 636 648 1990's 4,125 5,414 5,802 5,140 4,830 4,868 5,033 4,968 4,604 4,287 2000's 4,149 3,915 3,884 4,301 4,120 3,965 3,911 3,994 3,290 2,871 2010's 2,629 2,475 2,228 1,597 2,036 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

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

    Gasoline and Diesel Fuel Update (EIA)

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

  18. Alabama Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Alabama Natural Gas, Wet After Lease Separation Proved 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 693 1980's 682 683 1990's 4,184 5,460 5,870 5,212 4,898 4,930 5,100 5,013 4,643 4,365 2000's 4,269 3,958 3,922 4,345 4,159 4,006 3,963 4,036 3,379 2,948 2010's 2,724 2,570 2,304 1,670 2,121 - = No Data Reported; -- = Not Applicable; NA = Not

  19. Alabama Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) Alabama Nonassociated Natural Gas, Wet After Lease Separation, Proved 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 680 1980's 659 658 1990's 4,159 5,437 5,840 5,166 4,842 4,886 5,062 4,983 4,615 4,338 2000's 4,241 3,931 3,891 4,313 4,127 3,977 3,945 4,016 3,360 2,919 2010's 2,686 2,522 2,204 1,624 1,980

  20. Alabama--State Offshore Natural Gas Marketed Production (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Marketed Production (Million Cubic Feet) Alabama--State Offshore Natural Gas Marketed Production (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 106,586 125,302 220,233 202,559 198,509 203,021 209,752 202,475 2000's 191,550 191,188 193,448 183,621 156,097 143,349 136,805 125,828 117,483 101,272 2010's 94,738 78,649 87,398 75,660 70,827 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure

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

    Gasoline and Diesel Fuel Update (EIA)

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

  2. Alabama--onshore Natural Gas Marketed Production (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Marketed Production (Million Cubic Feet) Alabama--onshore Natural Gas Marketed Production (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 169,220 176,208 174,537 173,399 180,277 185,574 182,641 179,227 2000's 171,917 165,622 162,613 162,524 159,924 153,179 149,415 144,579 140,401 134,757 2010's 128,194 116,932 128,312 120,666 110,226 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  3. Alabama Natural Gas % of Total Electric Utility Deliveries (Percent)

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

    Electric Utility Deliveries (Percent) Alabama Natural Gas % of Total Electric Utility Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.17 0.13 0.23 0.23 0.29 0.60 0.53 2000's 0.81 1.29 1.98 1.68 2.14 1.79 2.34 2.57 2.46 3.30 2010's 3.81 4.53 4.40 4.08 4.23 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016

  4. Alabama Natural Gas % of Total Residential Deliveries (Percent)

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

    Residential Deliveries (Percent) Alabama Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 1.04 1.03 1.02 1.08 0.97 1.03 0.90 2000's 0.95 1.03 0.95 0.92 0.90 0.87 0.87 0.75 0.77 0.75 2010's 0.88 0.78 0.66 0.72 0.77 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages:

  5. Alabama Natural Gas % of Total Vehicle Fuel Deliveries (Percent)

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

    Vehicle Fuel Deliveries (Percent) Alabama Natural Gas % of Total Vehicle Fuel Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.44 0.20 0.15 0.08 0.71 0.57 0.57 2000's 0.57 0.52 0.52 0.52 0.52 0.67 0.47 0.36 0.32 0.29 2010's 0.37 0.64 0.64 0.63 0.63 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages:

  6. Alabama Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Alabama Natural Gas Input Supplemental Fuels (Million 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 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 50 23 91 9 54 14 3 2 17 16 1990's 320 332 171 410 69 0 18 21 2 4 2000's 0 0 0 22 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next

  7. Alabama Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Alabama Natural Gas Lease Fuel 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 1980's 3,600 4,154 4,227 4,139 5,314 5,021 4,277 1990's 6,171 4,907 8,391 8,912 9,381 10,468 10,492 7,020 7,650 9,954 2000's 10,410 9,593 9,521 11,470 11,809 11,291 12,045 11,345 11,136 10,460 2010's 10,163 10,367 12,389 12,456 10,055 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  8. Alabama Natural Gas Number of Commercial Consumers (Number of Elements)

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

    Commercial Consumers (Number of Elements) Alabama Natural Gas Number of Commercial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 53 54,306 55,400 56,822 1990's 56,903 57,265 58,068 57,827 60,320 60,902 62,064 65,919 76,467 64,185 2000's 66,193 65,794 65,788 65,297 65,223 65,294 66,337 65,879 65,313 67,674 2010's 68,163 67,696 67,252 67,136 67,806 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  9. Alabama Natural Gas Number of Industrial Consumers (Number of Elements)

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

    Industrial Consumers (Number of Elements) Alabama Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2 2,313 2,293 2,380 1990's 2,431 2,523 2,509 2,458 2,477 2,491 2,512 2,496 2,464 2,620 2000's 2,792 2,781 2,730 2,743 2,799 2,787 2,735 2,704 2,757 3,057 2010's 3,039 2,988 3,045 3,143 3,244 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  10. Alabama Natural Gas Number of Residential Consumers (Number of Elements)

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

    Residential Consumers (Number of Elements) Alabama Natural Gas Number of Residential Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 656 662,217 668,432 683,528 1990's 686,149 700,195 711,043 730,114 744,394 751,890 766,322 781,711 788,464 775,311 2000's 805,689 807,770 806,389 809,754 806,660 809,454 808,801 796,476 792,236 785,005 2010's 778,985 772,892 767,396 765,957 769,418 - = No Data Reported; -- = Not Applicable; NA = Not

  11. Alabama Natural Gas Percentage Total Commercial Deliveries (Percent)

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

    Commercial Deliveries (Percent) Alabama Natural Gas Percentage Total Commercial Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0.90 0.88 0.87 0.92 1.01 0.86 0.91 2000's 0.80 0.87 0.80 0.80 0.85 0.84 0.86 0.78 0.80 0.78 2010's 0.87 0.80 0.74 0.77 0.79 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring

  12. Alabama Natural Gas Percentage Total Industrial Deliveries (Percent)

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

    Industrial Deliveries (Percent) Alabama Natural Gas Percentage Total Industrial Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2.28 2.23 2.38 2.27 2.36 2.39 2.53 2000's 2.46 2.11 2.13 2.22 2.25 2.29 2.30 2.26 2.13 2.13 2010's 2.12 2.19 2.38 2.42 2.46 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring

  13. Alabama Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) Alabama Natural Gas Pipeline and Distribution Use (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 20,689 19,948 22,109 2000's 22,626 19,978 21,760 18,917 15,911 14,982 14,879 15,690 16,413 18,849 2010's 22,124 23,091 25,349 22,166 18,688 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016

  14. Alabama Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) Alabama Natural Gas Plant Fuel 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 1980's 1,129 1,178 1,249 1,303 1,564 1,634 1,875 1990's 3,710 3,720 4,477 4,453 3,747 3,806 2,827 2,468 2,391 5,336 2000's 5,377 3,491 4,148 3,293 3,914 3,740 6,028 6,269 6,858 6,470 2010's 6,441 6,939 6,616 6,804 6,462 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  15. Alabama Natural Gas Total Consumption (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Total Consumption (Million Cubic Feet) Alabama 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 324,158 329,134 337,270 2000's 353,614 332,693 379,343 350,345 382,367 353,156 391,093 418,512 404,157 454,456 2010's 534,779 598,514 666,712 615,407 634,678 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release

  16. Scheuten Solar USA Inc | Open Energy Information

    Open Energy Info (EERE)

    USA Inc Jump to: navigation, search Name: Scheuten Solar USA, Inc. Place: Rancho Santa Margarita, California Zip: 92688 Sector: Solar Product: Manufacturer of Solar PV systems...

  17. Energy Pro USA | Open Energy Information

    Open Energy Info (EERE)

    Pro USA Jump to: navigation, search Name: Energy Pro USA Place: Chesterfield, Missouri Zip: MO 63017 Product: Energy Pro funds and implements demand side energy savings programs to...

  18. Windkraft Nord USA | Open Energy Information

    Open Energy Info (EERE)

    Nord USA Jump to: navigation, search Name: Windkraft Nord USA Place: San Diego, California Zip: 92122 Product: Subsidiary of WKN AG based in North America. References: Windkraft...

  19. Solar Millennium LLC USA | Open Energy Information

    Open Energy Info (EERE)

    LLC USA Jump to: navigation, search Name: Solar Millennium LLC (USA) Place: Berkeley, California Sector: Solar Product: California-based STEG power plant developer, parabolic...

  20. Coaltec Energy USA Inc | Open Energy Information

    Open Energy Info (EERE)

    Coaltec Energy USA Inc Jump to: navigation, search Name: Coaltec Energy USA, Inc. Place: Carterville, Illinois Zip: 62918 Sector: Biomass Product: Coaltec Energy provides energy...

  1. Think Solar USA | Open Energy Information

    Open Energy Info (EERE)

    Solar USA Jump to: navigation, search Name: Think Solar USA Product: Maker, installer and distributor of parabolic trough STEG power and hot water systems. References: Think Solar...

  2. Energy Optimizers USA | Open Energy Information

    Open Energy Info (EERE)

    Optimizers USA Jump to: navigation, search Name: Energy Optimizers USA Address: 6 S. 3rd Street Place: Tipp City, Ohio Zip: 45371 Sector: Biomass, Carbon, Geothermal energy,...

  3. AREA USA LLC | Open Energy Information

    Open Energy Info (EERE)

    AREA USA LLC Jump to: navigation, search Name: AREA USA LLC Place: Washington, DC Zip: 20004 Sector: Services Product: Washington, D.C.-based division of Fabiani & Company...

  4. Usina Santo Angelo USA | Open Energy Information

    Open Energy Info (EERE)

    Santo Angelo USA Jump to: navigation, search Name: Usina Santo Angelo (USA) Place: Pirajuba, Minas Gerais, Brazil Product: Minas Gerais-based ethanol and energy producer company....

  5. BROAD USA Inc | Open Energy Information

    Open Energy Info (EERE)

    BROAD USA Inc Jump to: navigation, search Name: BROAD USA, Inc Place: Hackensack, New Jersey Zip: 7601 Product: BROAD manufactures absorption chillers powered by clean and...

  6. Norvento USA LLC | Open Energy Information

    Open Energy Info (EERE)

    USA LLC Jump to: navigation, search Name: Norvento USA LLC Place: Boston, Massachusetts Product: Boston-based engineering consultancy and division of Norvento SA. Coordinates:...

  7. Sharp Electronics Corporation USA | Open Energy Information

    Open Energy Info (EERE)

    Electronics Corporation USA Jump to: navigation, search Name: Sharp Electronics Corporation (USA) Place: Huntington Beach, California Zip: 92647 Product: North American division of...

  8. Cost-Effectiveness of ASHRAE Standard 90.1-2010 for the State of Alabama

    SciTech Connect (OSTI)

    Hart, Philip R.; Rosenberg, Michael I.; Xie, YuLong; Zhang, Jian; Richman, Eric E.; Elliott, Douglas B.; Loper, Susan A.; Myer, Michael

    2013-11-29

    Moving to the ANSI/ASHRAE/IES Standard 90.1-2010 version from the Base Code (90.1-2007) is cost-effective for all building types and climate zones in the State of Alabama.

  9. M.; /Bern U.; Auty, D.J.; /Alabama U.; Barbeau, P.S.; /Stanford...

    Office of Scientific and Technical Information (OSTI)

    Neutrinoless Double-Beta Decay in 136Xe with EXO-200 Auger, M.; Bern U.; Auty, D.J.; Alabama U.; Barbeau, P.S.; Stanford U., Phys. Dept.; Beauchamp, E.; Laurentian U.;...

  10. Alabama Natural Gas Number of Gas and Gas Condensate Wells (Number...

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

    Gas and Gas Condensate Wells (Number of Elements) Alabama Natural Gas Number of Gas and Gas Condensate Wells (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

  11. Microsoft Word - DOE-ID-13-048 Alabama EC B3-6.doc

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

    8 SECTION A. Project Title: Using Ionic Liquids for the Development of Renewable Biopolymer-Based Adsorbents for the Extraction of Uranium from Seawater and Testing Under Marine Conditions - University of Alabama SECTION B. Project Description The University of Alabama proposes to study the fundamental engineering parameters for a renewable high-performance adsorbent for the extraction of uranium from seawater based on a proven ionic liquid-chitin platform. Objectives include: 1) Understand how

  12. Microsoft Word - DOE-ID-15-061 Alabama EC B3-6.doc

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

    61 SECTION A. Project Title: Understanding the Interactions of Seawater Ions with Amidoxime through X-Ray Crystallography - The University of Alabama SECTION B. Project Description The University of Alabama (UA) proposes to understand how metal ions from seawater bind to uranium-selective amidoxime functionalized sorbents by experimentally determining the structures of metal complexes with molecules simulating the possible binding sites and characterizing these binding sites spectroscopically to

  13. CT Solar Loan

    Broader source: Energy.gov [DOE]

    The Clean Energy Finance and Investment Authority is offering a pilot loan program, CT Solar Loan, to provide homeowners with 15-year loans for solar PV equipment. The loans are administered...

  14. CT Solar Lease

    Broader source: Energy.gov [DOE]

    CT Solar Lease allows homeowners to lease a photovoltaic (PV) or solar thermal system, with fixed monthly payments, for a term of 20 years, at no upfront down payment.* This program, which takes...

  15. Alabama Natural Gas Underground Storage Volume (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Underground Storage Volume (Million Cubic Feet) Alabama Natural Gas Underground Storage Volume (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1995 1,379 1,377 1,113 1,113 1,140 1,182 1,218 1,436 2,028 1,955 1,766 1,365 1996 1,311 1,014 852 1,006 1,373 2,042 2,247 2,641 3,081 3,198 3,069 2,309 1997 1,778 1,594 1,619 1,749 2,020 2,113 2,156 2,443 2,705 2,956 2,713 2,713 1998 1,963 1,775 1,527 1,772 1,917 2,540 2,531 2,730 2,329 2,942 2,943 2,805 1999 1,992 1,878 1,566

  16. Alabama Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Wellhead Price (Dollars per Thousand Cubic Feet) Alabama Natural Gas Wellhead 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 0.13 0.13 0.13 1970's 0.14 0.15 0.35 0.38 0.74 0.87 0.99 1.47 1.50 2.04 1980's 3.19 4.77 3.44 4.28 3.73 3.71 2.89 2.97 2.65 2.72 1990's 2.75 2.33 2.29 2.46 2.17 1.82 2.62 2.67 2.21 2.32 2000's 3.99 4.23 3.48 5.93 6.66 9.28 7.57 7.44 9.65 4.32 2010's 4.46 - = No Data Reported; -- = Not Applicable;

  17. Alabama Natural Gas Pipeline and Distribution Use Price (Dollars per

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

    Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Alabama 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 0.19 0.20 0.20 1970's 0.20 0.22 0.23 0.26 0.29 0.32 0.47 0.72 1.10 1.32 1980's 1.84 2.59 3.00 3.10 3.15 3.12 3.11 2.37 2.30 2.60 1990's 2.17 3.02 2.24 2.34 2.13 1.93 2.63 2.95 2.55 2.21 2000's 3.13 4.90 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA

  18. Alabama Natural Gas Plant Liquids Production (Million Cubic Feet)

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

    Liquids Production (Million Cubic Feet) Alabama Natural Gas Plant Liquids Production (Million 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 236 1970's 225 281 243 199 501 694 661 933 1,967 4,845 1980's 4,371 4,484 4,727 4,709 5,123 5,236 4,836 4,887 4,774 5,022 1990's 4,939 4,997 5,490 5,589 5,647 5,273 5,361 4,637 4,263 18,079 2000's 24,086 13,754 14,826 11,293 15,133 13,759 21,065 19,831 17,222 17,232 2010's 19,059 17,271 7,133 7,675 7,044 - =

  19. Alabama State Energy Program, Summary of Reported Data From July 1, 2010 - September 30, 2013

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

    Austin, T X S ummary o f R eported Data (July 1 , 2 010 - S eptember 3 0, 2 013) Better B uildings N eighborhood P rogram Report P roduced B y: U.S. D epartment o f E nergy March 2 014 Alabama State Energy P rogram Summary o f Reported D ata F rom July 1 , 2010 - September 3 0, 2013 Better B uildings Neighborhood Program Report Produced By: U.S. Department of Energy June 2014 ALABAMA STATE ENERGY PROGRAM SUMMARY OF REPORTED DATA ACKNOWLEDGMENTS This document presents a summary of data reported

  20. Euro Chef USA: Order (2014-CE-23004)

    Broader source: Energy.gov [DOE]

    DOE ordered Euro Chef USA Inc. to pay a $8,000 civil penalty after finding Euro Chef USA had failed to certify that certain models of cooking products comply with the applicable energy conservation standards.

  1. USA Manufacturing: Order (2013-CE-5336)

    Broader source: Energy.gov [DOE]

    DOE ordered USA Manufacturing to pay a $8,000 civil penalty after finding USA Manufacturing had failed to certify that certain models of walk-in cooler and freezer components comply with the applicable energy conservation standards.

  2. FRONIUS USA LLC | Open Energy Information

    Open Energy Info (EERE)

    48116 USA, Michigan Sector: Solar Product: Focused on welding machines and solar inverters. References: FRONIUS USA LLC1 This article is a stub. You can help OpenEI by...

  3. Absolute Energy USA | Open Energy Information

    Open Energy Info (EERE)

    USA Jump to: navigation, search Name: Absolute Energy (USA) Place: St. Ansgar, Iowa Zip: 50472 Product: Absolute Energy has built a 100 million gallon per year ethanol plant on the...

  4. PNE Wind USA Inc | Open Energy Information

    Open Energy Info (EERE)

    USA Inc Jump to: navigation, search Name: PNE Wind USA Inc Place: Chicago, Illinois Zip: 60601 Sector: Wind energy Product: Chicago-based subsidiary of wind farm project developer,...

  5. Hisense USA: Order (2010-CE-1211)

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE issued an Order after entering into a Compromise Agreement with Hisense USA Corp. after finding Hisense USA had failed to certify that certain models of residential refrigerators, refrigerator-freezers, and freezers comply with the applicable energy conservation standards.

  6. OTB USA Inc | Open Energy Information

    Open Energy Info (EERE)

    OTB USA Inc Jump to: navigation, search Name: OTB USA Inc Address: 1871 Suffolk Rd. Place: Columbus, Ohio Zip: 43221 Sector: Solar Product: Other:Capital Equipment Phone Number:...

  7. Assessment of the geothermal/geopressure potential of the Gulf Coastal Plan of Alabama. Final report

    SciTech Connect (OSTI)

    Wilson, G.V.; Wang, G.C.; Mancini, E.A.; Benson, D.J.

    1980-01-01

    Geothermal and geopressure as well as geologic and geophysical data were studied to evaluate the potential for future development of geothermal resources underlying the Alabama Coastal Plain. Wire-line log data compiled and interpreted from more than 1300 oil and gas test wells included maximum recorded temperatures, mud weights, rock resistivities as related to geopressure, formation tops, fault locations, and depths to basement rock. The Alabama Coastal Plain area is underlain by a conduction dominated, deep sedimentary basin where geothermal gradients are low to moderate (1.0 to 1.8/sup 0/F/100 feet). In some areas of southwest Alabama, abnormally high temperatures are found in association with geopressured zones within the Haynesville Formation of Jurassic age; however, rocks of poor reservoir quality dominate this formation, with the exception of a 200-square-mile area centered in southernmost Clarke County where a porous and permeable sand unit is encased within massive salt deposits of the lower Haynesville. The results of a petrograhic study of the Smackover Formation, which underlies the Haynesville, indicate that this carbonate rock unit has sufficient porosity in some areas to be considered a potential geothermal reservoir. Future development of geothermal resources in south Alabama will be restricted to low or moderate temperature, non-electric applications, which constitute a significant potential energy source for applications in space heating and cooling and certain agricultural and industrial processes.

  8. Energy Secretary Bodman Tours Alabama Red Cross Facility and Attends National Day of Prayer and Remembrance Service with Governor Riley

    Broader source: Energy.gov [DOE]

    MONTGOMERY, AL – Today, Secretary of Energy Samuel W. Bodman traveled to Montgomery, Alabama, to commemorate a National Day of Prayer and Remembrance in honor of victims of Hurricane Katrina.      ...

  9. H2USA | Department of Energy

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

    USA H2USA In 2013 many auto manufacturers announced fuel cell electric vehicle (FCEV) commercialization plans; Toyota, Hyundai, General Motors, Honda, Mercedes/Daimler, and others have committed to putting FCEVs on the road, some as early as the 2015-2017 timeframe. While the cars are coming, hydrogen infrastructure remains the greatest challenge to commercialization of FCEVs. To address this challenge, in 2013 DOE, along with automakers and other key stakeholders, launched H2USA, a new

  10. CT Offshore | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Name: CT Offshore Place: Otterup, Denmark Zip: 5450 Sector: Wind energy Product: Denmark-based consultancy which provides assistance for project...

  11. Computerized economic and statistical investigation of the Alabama liquid asphalt market for public entities

    SciTech Connect (OSTI)

    Morgan, J.E. Jr.

    1986-01-01

    This study outlines the development of an economic data base and techniques utilized in identifying noncompetitive practices in the sealed bid market for liquid asphalt products purchased by public entities in the State of Alabama. It describes the organization of data and methods for displaying salient characteristics of market conduct and performance. Likely areas of anticompetitive activity are identified from an examination of conditional factors influencing collusion in a market and of circumstantial evidence of collusive behavior of the vendors. Methods of detecting and analyzing suspicious behavior are indicated and applied to selected data. The conclusion reached was that collusion was present in the Alabama liquid asphalt market during 1971-1978. An antitrust action was initiated by the State. Damages were calculated from the data base using a GLM regression model. An out-of-court settlement was negotiated by the defendant vendors.

  12. Sol-Up USA, LLC | Open Energy Information

    Open Energy Info (EERE)

    Sol-Up USA, LLC Jump to: navigation, search Logo: Sol-Up USA, LLC Name: Sol-Up USA, LLC Address: 3355 West Spring Mountain Road, Suite 3 Place: Las Vegas, NV Zip: 89102 Sector:...

  13. CT NC0

    Office of Legacy Management (LM)

    x-L* d! CT NC0 - i , ,. i, .' i :.:(e.!' ,A\~, L.,t, - (iI :i' , . y- 2 .L i ._ 1 c\ :- i;! Ii $ 4. Ci:lc:i.nnati. 39, t>:::i.f> (J&l3 q-1 -3 sui3 Jrn T3 FRCM .I iirz 1 ?j ~ 1.3 bL1 T:' IP !REFOI?T TC 5YC?CZCiC~ :EWllIFl;j",tsSS L' I"JIsIc:;. .:;xli3;. iCAN !fA(=;-fL,yg-j L' sc,, E. $.iCLX:i?, -iIJ,x:q()Is. ON hL4X 24 - 25 ) 1.9tic ;i. A. Quiglel;, A.3, 3, M. ChenauEt gpxrIvB OF TP.~ The purpose of t3is trip was tc observe a proposed method for the dchy- dratim of green salt

  14. Siemens Corporate Technology CT | Open Energy Information

    Open Energy Info (EERE)

    Corporate Technology CT Jump to: navigation, search Name: Siemens Corporate Technology (CT) Place: Erlangan, Germany Sector: Solar Product: R&D lab for Siemens AG. Currently...

  15. China Solar Clean Energy Solutions Inc formerly Deli Solar USA...

    Open Energy Info (EERE)

    Inc formerly Deli Solar USA Inc Jump to: navigation, search Name: China Solar & Clean Energy Solutions Inc ( formerly Deli Solar (USA) Inc) Place: Connecticut Zip: 6039 Sector:...

  16. Naturener USA LLC formerly Great Plains Wind Energy | Open Energy...

    Open Energy Info (EERE)

    USA LLC formerly Great Plains Wind Energy Jump to: navigation, search Name: Naturener USA, LLC (formerly Great Plains Wind & Energy) Place: San Francisco, California Zip: 94111...

  17. USA Science and Engineering Festival: Inspiring and Educating...

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

    USA Science and Engineering Festival: Inspiring and Educating the Clean Energy Workforce of Tomorrow USA Science and Engineering Festival: Inspiring and Educating the Clean Energy...

  18. HERA USA Inc formerly Ergenics Inc | Open Energy Information

    Open Energy Info (EERE)

    USA Inc (formerly Ergenics Inc) Place: Ringwood, New Jersey Zip: 7456 Sector: Hydro, Hydrogen Product: Ergenics is a USA based company with extensive experience in the development...

  19. Mitsubishi Electric and Electronics USA Inc | Open Energy Information

    Open Energy Info (EERE)

    and Electronics USA Inc Jump to: navigation, search Name: Mitsubishi Electric and Electronics USA Inc Place: Cypress, California Zip: 90630 Sector: Solar Product: Markets and...

  20. E ON Climate Renewables North America formerly Airtricity USA...

    Open Energy Info (EERE)

    Climate Renewables North America formerly Airtricity USA Jump to: navigation, search Name: E.ON Climate & Renewables North America (formerly Airtricity USA) Place: Chicago,...

  1. FRV USA formerly Fotowatio Renewable Ventures LLC | Open Energy...

    Open Energy Info (EERE)

    USA formerly Fotowatio Renewable Ventures LLC Jump to: navigation, search Name: FRV USA (formerly Fotowatio Renewable Ventures LLC) Place: San Francisco, California Zip: 94104...

  2. Calyxo USA Solar Fields LLC | Open Energy Information

    Open Energy Info (EERE)

    USA Solar Fields LLC Jump to: navigation, search Name: Calyxo USA (Solar Fields LLC) Place: Perrysburg, Ohio Zip: 43551 Sector: Solar Product: Producer of cadmium telluride...

  3. Acciona Wind Energy USA LLC | Open Energy Information

    Open Energy Info (EERE)

    USA LLC Jump to: navigation, search Name: Acciona Wind Energy USA LLC Place: Chicago, Illinois Zip: 60631 Sector: Wind energy Product: US wind farms developer subsidiary of Acciona...

  4. Macquarie Funds Management USA Inc | Open Energy Information

    Open Energy Info (EERE)

    Macquarie Funds Management USA Inc Jump to: navigation, search Name: Macquarie Funds Management (USA) Inc. Place: Carlsbad, California Zip: 92008 Product: Fund of funds arm of...

  5. USA Manufacturing: Proposed Penalty (2013-CE-5336)

    Broader source: Energy.gov [DOE]

    DOE alleged in a Notice of Proposed Civil Penalty that USA Manufacturing failed to certify walk-in cooler or freezer components as compliant with the energy conservation standards.

  6. Solar Systems USA | Open Energy Information

    Open Energy Info (EERE)

    up":"","inlineLabel":"","visitedicon":"" Hide Map References: Solar Systems USA Online Solar Panel Retailer1 This article is a stub. You can help OpenEI by expanding it. Solar...

  7. Hisense USA: Proposed Penalty (2010-CE-1211)

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE alleged in a Notice of Proposed Civil Penalty that Hisense USA Corp. failed to certify a variety of residential refrigerators, refrigerator-freezers, and freezers as compliant with the applicable energy conservation standards.

  8. LES' URENCO-USA Facility | Department of Energy

    Energy Savers [EERE]

    LES' URENCO-USA Facility LES' URENCO-USA Facility PowerPoint slides on LES's URENCO-USA Facility PDF icon LES' URENCO-USA Facility More Documents & Publications Excess Uranium Management 2014 Review of the Potential Impact of DOE Excess Uranium Inventory On the Commercial Markets Memorandum Memorializing Ex Parte Communication

  9. The Wilsonville Advanced Coal Liquefaction Research and Development Facility, Wilsonville, Alabama

    SciTech Connect (OSTI)

    Not Available

    1990-05-01

    This reports presents the operating results for Run 252 at the Advanced Coal Liquefaction R D Facility in Wilsonville, Alabama. This run operated in the Close-Coupled Integrated Two-Stage Liquefaction mode (CC-ITSL) using Illinois No. 6 bituminous coal. The primary run objective was demonstration of unit and system operability in the CC-ITSL mode with catalytic-catalytic reactors and with ash recycle. Run 252 began on 26 November 1986 and continued through 3 February 1987. During this period 214.4 MF tons of Illinois No. 6 coal were fed in 1250 hours of operation. 3 refs., 29 figs., 18 tabs.

  10. Federal Offshore--Louisiana and Alabama Natural Gas Plant Liquids, Expected

    Gasoline and Diesel Fuel Update (EIA)

    Future Production (Million Barrels) Expected Future Production (Million Barrels) Federal Offshore--Louisiana and Alabama Natural Gas Plant Liquids, Expected Future Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 358 336 309 289 297 1990's 261 292 246 255 267 191 199 352 341 403 2000's 487 460 483 347 410 407 390 365 313 301 2010's 340 354 369 292 367 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  11. Federal Offshore--Louisiana and Alabama Natural Gas Plant Liquids, Reserves

    Gasoline and Diesel Fuel Update (EIA)

    Based Production (Million Barrels) Reserves Based Production (Million Barrels) Federal Offshore--Louisiana and Alabama Natural Gas Plant Liquids, Reserves Based Production (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 53 42 46 44 45 1990's 42 46 41 45 46 31 35 64 63 75 2000's 88 87 89 67 78 59 65 68 52 61 2010's 66 57 54 42 47 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  12. Gulf of Mexico Federal Offshore - Louisiana and Alabama Crude Oil + Lease

    Gasoline and Diesel Fuel Update (EIA)

    Condensate Proved Reserves (Million Barrels) Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Gulf of Mexico Federal Offshore - Louisiana and Alabama Crude Oil + Lease Condensate Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 3,704 2010's 4,043 4,567 4,602 4,591 4,352 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  13. Gulf of Mexico Federal Offshore - Louisiana and Alabama Natural Gas Plant

    Gasoline and Diesel Fuel Update (EIA)

    Liquids, Proved Reserves (Million Barrels) Natural Gas Plant Liquids, Proved Reserves (Million Barrels) Gulf of Mexico Federal Offshore - Louisiana and Alabama Natural Gas Plant Liquids, Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 614 566 532 512 575 1990's 519 545 472 490 500 496 621 785 776 833 2000's 921 785 783 598 615 603 575 528 464 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  14. ,"Alabama Natural Gas Underground Storage Volume (MMcf)"

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

    Volume (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 Volume (MMcf)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File Name:","n5030al2m.xls"

  15. Alabama Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion

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

    Cubic Feet) New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Alabama Dry Natural Gas New Reservoir Discoveries in Old Fields (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 0 2 66 1980's 0 8 1990's 3 0 1 0 0 130 0 14 0 0 2000's 0 2 4 4 0 0 7 17 1 0 2010's 0 0 0 0 14 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next

  16. Alabama Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet)

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

    New Field Discoveries (Billion Cubic Feet) Alabama Dry Natural Gas Reserves New Field Discoveries (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 40 4 13 1980's 1 5 1990's 433 35 95 0 1 0 0 0 10 0 2000's 0 42 0 0 3 0 0 0 2 0 2010's 3 2 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: New

  17. Alabama Natural Gas in Underground Storage - Change in Working Gas from

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

    Same Month Previous Year (Million Cubic Feet) Million Cubic Feet) Alabama Natural Gas in Underground Storage - Change in Working Gas from Same Month Previous Year (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1996 -67 -133 -30 123 233 669 826 998 743 933 994 633 1997 156 40 226 203 337 -48 -197 -301 -376 -242 -356 405 1998 185 181 -92 24 -103 427 374 288 -376 -14 230 91 1999 29 103 39 -69 257 -156 88 -31 772 82 214 164 2000 63 175 802 599 219 615 462 381 -131 -196

  18. ,"Alabama (with State Offshore) Shale Proved Reserves (Billion Cubic Feet)"

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

    Shale Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama (with State Offshore) Shale Proved Reserves (Billion Cubic Feet)",1,"Annual",2010 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

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

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

    Coalbed Methane Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Coalbed Methane Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

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

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

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

  1. ,"Alabama Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  2. ,"Alabama Heat Content of Natural Gas Consumed"

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

    Consumed" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Heat Content of Natural Gas Consumed",1,"Monthly","12/2015","01/15/2013" ,"Release Date:","02/29/2016" ,"Next Release Date:","03/31/2016" ,"Excel File

  3. ,"Alabama Natural Gas Underground Storage Withdrawals (MMcf)"

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

    Gas Underground Storage Withdrawals (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 Withdrawals (MMcf)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  4. ,"Alabama Natural Gas Consumption by End Use"

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

    Consumption by End Use" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Consumption by End Use",6,"Monthly","12/2015","1/15/1989" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  5. ,"Alabama Natural Gas Gross Withdrawals Total Offshore (MMcf)"

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

    Total Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File Name:","na1090_sal_2a.xls"

  6. ,"Alabama Natural Gas LNG Storage Net Withdrawals (MMcf)"

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

    LNG Storage Net Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  7. ,"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","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File Name:","n5290al2m.xls"

  8. ,"Alabama Natural Gas Vehicle Fuel Consumption (MMcf)"

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

    Vehicle Fuel Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","12/2015" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  9. ,"Alabama Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"

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

    Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

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

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

    Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  11. ,"Alabama Share of Total U.S. Natural Gas Delivered to Consumers"

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

    Share of Total U.S. Natural Gas Delivered to Consumers" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Share of Total U.S. Natural Gas Delivered to Consumers",5,"Annual",2014,"6/30/1993" ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016"

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

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Alabama Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  13. ,"Federal Offshore--Alabama Natural Gas Marketed Production (MMcf)"

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

    Marketed Production (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Alabama Natural Gas Marketed Production (MMcf)",1,"Annual",1998 ,"Release Date:","2/29/2016" ,"Next Release Date:","3/31/2016" ,"Excel File

  14. Category:Bridgeport, CT | Open Energy Information

    Open Energy Info (EERE)

    in this category, out of 16 total. SVFullServiceRestaurant Bridgeport CT Connecticut Light & Power Co.png SVFullServiceRestauran... 64 KB SVQuickServiceRestaurant Bridgeport CT...

  15. CT Investment Partners LLP | Open Energy Information

    Open Energy Info (EERE)

    CT Investment Partners LLP Jump to: navigation, search Name: CT Investment Partners LLP Place: London, United Kingdom Zip: WC2A 2AZ Sector: Carbon Product: Venture capital arm of...

  16. Federal Offshore--Louisiana and Alabama Crude Oil Reserves in Nonproducing

    Gasoline and Diesel Fuel Update (EIA)

    Reservoirs (Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Federal Offshore--Louisiana and Alabama Crude Oil Reserves in Nonproducing Reservoirs (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's NA NA 1,128 1,133 2000's 1,267 2,352 2,530 2,801 2,581 2,591 1,816 2,231 2,229 2,013 2010's 1,595 2,597 2,130 2,406 2,204 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  17. Gulf of Mexico Federal Offshore - Louisiana and Alabama Dry Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    Expected Future Production (Billion Cubic Feet) Dry Natural Gas Expected Future Production (Billion Cubic Feet) Gulf of Mexico Federal Offshore - Louisiana and Alabama Dry Natural Gas Expected Future 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 28,260 1990's 22,679 21,611 19,653 19,383 20,835 21,392 21,856 21,934 20,774 19,598 2000's 19,788 19,721 18,500 16,728 14,685 13,665 11,824 11,090 10,450 9,362 2010's 8,896 8,156

  18. Gulf of Mexico Federal Offshore - Louisiana and Alabama Natural Gas, Wet

    Gasoline and Diesel Fuel Update (EIA)

    After Lease Separation Proved Reserves (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) Gulf of Mexico Federal Offshore - Louisiana and Alabama Natural Gas, Wet After Lease Separation Proved 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 1980's 28,772 1990's 23,050 22,028 20,006 19,751 21,208 21,664 22,119 22,428 21,261 20,172 2000's 20,466 20,290 19,113 17,168 15,144 14,073 12,201 11,458

  19. Alabama Natural Gas Delivered to Commercial Consumers for the Account of

    Gasoline and Diesel Fuel Update (EIA)

    Others (Million Cubic Feet) Delivered to Commercial Consumers for the Account of Others (Million Cubic Feet) Alabama Natural Gas Delivered to Commercial Consumers for the Account of Others (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 173 2,278 4,498 1990's 4,967 4,112 4,868 4,950 5,043 5,213 5,470 11,432 5,009 8,141 2000's 4,753 4,608 4,882 4,604 4,744 4,891 4,832 4,722 4,999 5,160 2010's 5,494 5,313 5,126 5,935 5,941 - = No Data

  20. Alabama--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet) Alabama--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 0 9 13 1990's 19,861 32,603 112,311 131,508 228,878 212,895 209,013 214,414 222,000 212,673 2000's 201,081 200,862 202,002 194,339 165,630 152,902 145,762 134,451 125,502 109,214 2010's 101,487 84,270 87,398 75,660 70,827 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  1. Alabama Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet)

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

    and Plant Fuel Consumption (Million Cubic Feet) Alabama Natural Gas Lease and Plant Fuel 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 1960's 162 152 150 1970's 214 476 1,070 1,329 1,301 1,968 2,714 5,444 3,371 21,454 1980's 9,990 5,804 5,037 4,729 5,332 5,476 5,442 6,878 6,655 6,152 1990's 9,881 8,627 12,868 13,365 0 14,274 13,319 9,488 10,041 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  2. Alabama Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)

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

    Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Alabama Natural Gas Vehicle Fuel 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 1990's 0.74 6.46 4.60 4.24 3.51 2.92 2.42 1.98 2000's -- -- -- -- 17.32 19.17 2010's 16.24 11.45 17.99 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages:

  3. DuraLamp USA: Order (2010-CE-0912)

    Broader source: Energy.gov [DOE]

    DOE ordered DuraLamp USA, Inc. to pay a $2,500 civil penalty after finding DuraLamp USA had failed to certify that model PAR 30, an incandescent reflector lamp, complies with the applicable energy conservation standards.

  4. Ultra Soy of America DBA USA Biofuels | Open Energy Information

    Open Energy Info (EERE)

    Ultra Soy of America DBA USA Biofuels Jump to: navigation, search Name: Ultra Soy of America (DBA USA Biofuels) Place: Fort Wayne, Indiana Zip: 46898 Sector: Biofuels Product: An...

  5. Smeg USA: Order (2011-CE-14/1909)

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE ordered Smeg USA, Inc. to pay a $6,000 civil penalty after finding Smeg USA had failed to certify that certain models of dishwashers and refrigerators comply with the applicable energy conservation standards.

  6. Dual energy CT for attenuation correction with PET/CT

    SciTech Connect (OSTI)

    Xia, Ting; Alessio, Adam M.; Kinahan, Paul E.

    2014-01-15

    Purpose: The authors evaluate the energy dependent noise and bias properties of monoenergetic images synthesized from dual-energy CT (DECT) acquisitions. These monoenergetic images can be used to estimate attenuation coefficients at energies suitable for positron emission tomography (PET) and single-photon emission computed tomography (SPECT) imaging. This is becoming more relevant with the increased use of quantitative imaging by PET/CT and SPECT/CT scanners. There are, however, potential variations in the noise and bias of synthesized monoenergetic images as a function of energy. Methods: The authors used analytic approximations and simulations to estimate the noise and bias of synthesized monoenergetic images of water-filled cylinders with different shapes and the NURBS-based cardiac-torso (NCAT) phantom from 40 to 520 keV, the range of SPECT and PET energies. The dual-kVp spectra were based on the GE Lightspeed VCT scanner at 80 and 140 kVp with added filtration of 0.5 mm Cu. The authors evaluated strategies of noise suppression with sinogram smoothing and dose minimization with reduction of tube currents at the two kVp settings. The authors compared the impact of DECT-based attenuation correction with single-kVp CT-based attenuation correction on PET quantitation for the NCAT phantom for soft tissue and high-Z materials of bone and iodine contrast enhancement. Results: Both analytic calculations and simulations displayed the expected minimum noise value for a synthesized monoenergetic image at an energy between the mean energies of the two spectra. In addition the authors found that the normalized coefficient of variation in the synthesized attenuation map increased with energy but reached a plateau near 160 keV, and then remained constant with increasing energy up to 511 keV and beyond. The bias was minimal, as the linear attenuation coefficients of the synthesized monoenergetic images were within 2.4% of the known true values across the entire energy range. Compared with no sinogram smoothing, sinogram smoothing can dramatically reduce noise in the DECT-derived attenuation map. Through appropriate selection of tube currents for high and low kVp scans, DECT can deliver roughly the same amount of radiation dose as that of a single kVp CT scan, but could be used for PET attenuation correction with reduced bias in contrast agent regions by a factor of ?2.6 and slightly reduced RMSE for the total image. Conclusions: When DECT is used for attenuation correction at higher energies, there is a noise amplification that is dependent on the energy of the synthesized monoenergetic image of linear attenuation coefficients. Sinogram smoothing reduces the noise amplification in DECT-derived attenuation maps without increasing bias. With an appropriate selection of CT techniques, a DECT scan with the same radiation dose as a single CT scan can result in a PET image with improved quantitative accuracy.

  7. DOE - Office of Legacy Management -- Dorr Corp - CT 14

    Office of Legacy Management (LM)

    Dorr Corp - CT 14 FUSRAP Considered Sites Site: Dorr Corp. (CT.14 ) Eliminated from consideration under FUSRAP - Referred to NRC Designated Name: Not Designated Alternate Name: Dorr - Oliver Corporation CT.14-2 Location: 737 Canal Street , Stamford , Connecticut CT.14-2 Evaluation Year: 1990 CT.14-3 Site Operations: Conducted heat treatment tests of source material using depleted uranium in an enclosed calciner CT.14-2 Site Disposition: Eliminated - No Authority - AEC licensed CT.14-3

  8. Program in Functional Genomics of Autoimmunity and Immunology of yhe University of Kentucky and the University of Alabama

    SciTech Connect (OSTI)

    Alan M Kaplan

    2012-10-12

    This grant will be used to augment the equipment infrastructure and core support at the University of Kentucky and the University of Alabama particularly in the areas of genomics/informatics, molecular analysis and cell separation. In addition, we will promote collaborative research interactions through scientific workshops and exchange of scientists, as well as joint exploration of the role of immune receptors as targets in autoimmunity and host defense, innate and adaptive immune responses, and mucosal immunity in host defense.

  9. Alabama Natural Gas in Underground Storage - Change in Working Gas from

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

    Same Month Previous Year (Percent) Percent) Alabama Natural Gas in Underground Storage - Change in Working Gas from Same Month Previous Year (Percent) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1996 221.1 244.8 179.6 64.8 86.8 112.2 130.5 1997 36.2 10.9 111.7 57.1 68.4 -5.0 -17.0 -19.4 -19.9 -12.1 -19.0 36.2 1998 31.5 45.0 -21.4 4.3 -12.4 46.2 38.7 23.0 -24.8 -0.8 15.1 6.0 1999 3.8 17.6 11.5 -11.9 35.3 -11.6 6.5 -2.0 67.7 4.7 12.2 10.2 2000 7.9 25.4 213.4 116.8 22.2 51.5 32.4 25.3

  10. Closeout Report: Experimental High Energy Physics Group at the University of South Alabama

    SciTech Connect (OSTI)

    Jenkins, Charles M; Godang, Romulus

    2013-06-25

    The High Energy Physics group at the University of South Alabama has been supported by this research grant (DE-FG02-96ER40970) since 1996. One researcher, Dr. Merrill Jenkins, has been supported on this grant during this time worked on fixed target experiments at the Fermi National Accelerator Laboratory, west of Chicago, Illinois. These experiments have been E-705, E-771, E-871 (HyperCP) and E-921 (CKM) before it was canceled for budgetary reasons. After the cancellation of CKM, Dr. Jenkins joined the Compact Muon Solenoid (CMS) experiment as an associate member via the High Energy Physics Group at the Florida State University. A second, recently tenured faculty member, Dr. Romulus Godang joined the group in 2009 and has been supported by this grant since then. Dr. Godang is working on the BaBaR experiment at SLAC and has joined the Belle-II experiment located in Japan at KEK. According to the instructions sent to us by our grant monitor, we are to concentrate on the activities over the last three years in this closeout report.

  11. DOE - Office of Legacy Management -- Fenn Machinery Co - CT 11

    Office of Legacy Management (LM)

    Fenn Machinery Co - CT 11 FUSRAP Considered Sites Site: Fenn Machinery Co. (CT.11 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: New Britain , Connecticut CT.11-1 Evaluation Year: 1987 CT.11-1 Site Operations: Performed short-term tests on small quantities of uranium metal to explore potential for swaging, circa mid-1950 CT.11-1 CT.11-3 Site Disposition: Eliminated - Potential for contamination considered remote due to limited scope of

  12. DOE - Office of Legacy Management -- New Canaan Site - CT 08

    Office of Legacy Management (LM)

    Canaan Site - CT 08 FUSRAP Considered Sites Site: NEW CANAAN SITE (CT.08) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: New Canaan , Connecticut CT.08-1 Evaluation Year: 1985 CT.08-2 Site Operations: None; Investigation of area prompted by public query; no site found in New Canaan. CT.08-1 Site Disposition: Eliminated - No AEC site located in this city CT.08-2 Radioactive Materials Handled: No Primary Radioactive Materials Handled: None

  13. DOE - Office of Legacy Management -- Torrington Co - CT 09

    Office of Legacy Management (LM)

    Torrington Co - CT 09 FUSRAP Considered Sites Site: TORRINGTON CO. (CT.09 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: Torrington Co. - Specialties Division CT.09-1 Location: Torrington , Connecticut CT.09-1 Evaluation Year: 1987 CT.09-1 Site Operations: Performed swaging experiments on small quantities of uranium rods circa 1951 to 1953 as a subcontractor to Bridgeport Brass Co. CT.09-1 Site Disposition: Eliminated - Potential for contamination

  14. DOE - Office of Legacy Management -- American Brass Co - CT 01

    Office of Legacy Management (LM)

    Brass Co - CT 01 FUSRAP Considered Sites Site: American Brass Co (CT.01 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: Anaconda Company Brass Division CT.01-1 Location: 414 Meadow Street , Waterbury , Connecticut CT.01-1 Evaluation Year: 1986 CT.01-2 Site Operations: Limited work with copper clad uranium billets during the 1950s. CT.01-1 Site Disposition: Eliminated - Potential for contamination considered remote based upon the limited scope of

  15. DOE - Office of Legacy Management -- American Cyanamid Co - CT 13

    Office of Legacy Management (LM)

    Cyanamid Co - CT 13 FUSRAP Considered Sites Site: American Cyanamid Co (CT.13 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Stamford , Connecticut CT.13-1 Evaluation Year: 1987 CT.13-1 Site Operations: Produced boron and possibly handled small amounts of refined radioactive source material circa 1940's. Also possibly performed research work on irradiated "J" slugs in 1952 and 1953. CT.13-1 CT.13-3 Site Disposition:

  16. USA Biomass Power Producers Alliance | Open Energy Information

    Open Energy Info (EERE)

    Biomass Power Producers Alliance Jump to: navigation, search Name: USA Biomass Power Producers Alliance Place: Sacramento, California Sector: Biomass Product: National trade...

  17. Ormat Technologies Inc. North Brawley, California USA | Open...

    Open Energy Info (EERE)

    Not Provided DOI Not Provided Check for DOI availability: http:crossref.org Online Internet link for Ormat Technologies Inc. North Brawley, California USA Citation Ormat...

  18. Euro Chef USA: Proposed Penalty (2014-CE-23004)

    Broader source: Energy.gov [DOE]

    DOE alleged in a Notice of Proposed Civil Penalty that Euro Chef USA Inc. failed to certify cooking products as compliant with the applicable energy conservation standards.

  19. DOE Analysis Related to H2USA | Department of Energy

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

    More Documents & Publications National Fuel Cell and Hydrogen Energy Overview: Total Energy USA 2012 Fuel Cell Technologies Program Overview: 2012 DOE Polymer and Composite ...

  20. International Energy Services USA Inc | Open Energy Information

    Open Energy Info (EERE)

    Inc Jump to: navigation, search Name: International Energy Services USA Inc Place: Washington, Washington, DC Sector: Renewable Energy Product: Owns various renewable energy...

  1. File:INL-geothermal-west-usa.pdf | Open Energy Information

    Open Energy Info (EERE)

    INL-geothermal-west-usa.pdf Jump to: navigation, search File File history File usage Western United States Geothermal Resources Size of this preview: 653 599 pixels. Other...

  2. DOE - Office of Legacy Management -- Combustion Engineering Co - CT 03

    Office of Legacy Management (LM)

    Combustion Engineering Co - CT 03 FUSRAP Considered Sites Site: Combustion Engineering, CT (CT.03 ) Cleanup in progress by U.S. Army Corps of Engineers. Designated Name: Combustion Engineering Alternate Name: CE Site Asea Brown Boveri S1C Prototype CT.03-1 Location: 1000 Prospect Hill Road, Windsor, Connecticut CT.03-2 Evaluation Year: 1994 CT.03-1 Site Operations: Used natural, enriched, and highly enriched uranium to make fuel assemblies for the AEC. CT.03-3 CT.03-4 Site Disposition: Eligible

  3. Global Assessment of Hydrogen Technologies Tasks 3 & 4 Report Economic, Energy, and Environmental Analysis of Hydrogen Production and Delivery Options in Select Alabama Markets: Preliminary Case Studies

    SciTech Connect (OSTI)

    Fouad, Fouad H.; Peters, Robert W.; Sisiopiku, Virginia P.; Sullivan Andrew J.; Gillette, Jerry; Elgowainy, Amgad; Mintz, Marianne

    2007-12-01

    This report documents a set of case studies developed to estimate the cost of producing, storing, delivering, and dispensing hydrogen for light-duty vehicles for several scenarios involving metropolitan areas in Alabama. While the majority of the scenarios focused on centralized hydrogen production and pipeline delivery, alternative delivery modes were also examined. Although Alabama was used as the case study for this analysis, the results provide insights into the unique requirements for deploying hydrogen infrastructure in smaller urban and rural environments that lie outside the DOEs high priority hydrogen deployment regions. Hydrogen production costs were estimated for three technologies steam-methane reforming (SMR), coal gasification, and thermochemical water-splitting using advanced nuclear reactors. In all cases examined, SMR has the lowest production cost for the demands associated with metropolitan areas in Alabama. Although other production options may be less costly for larger hydrogen markets, these were not examined within the context of the case studies.

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

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

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

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

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

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

  6. ,"Alabama Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

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

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  7. ,"Alabama Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

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

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  8. ,"Federal Offshore--Louisiana and Alabama Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)"

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

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

  9. ,"Federal Offshore--Louisiana and Alabama Natural Gas Plant Liquids, Expected Future Production (Million Barrels)"

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

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

  10. Deputy Secretary Daniel Poneman USA Today Op-Ed September 13...

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

    Deputy Secretary Daniel Poneman USA Today Op-Ed September 13, 2011 Deputy Secretary Daniel Poneman USA Today Op-Ed September 13, 2011 PDF icon 091411Poneman USA Today op-ed.pdf...

  11. DOE - Office of Legacy Management -- Sperry Products Inc - CT 07

    Office of Legacy Management (LM)

    Sperry Products Inc - CT 07 FUSRAP Considered Sites Site: SPERRY PRODUCTS, INC. (CT.07) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Danbury , Connecticut CT.07-1 Evaluation Year: 1994 CT.07-2 Site Operations: Performed tests involving non-destructive inspection techniques in the 1950s. CT.07-3 Site Disposition: Eliminated - Potential for contamination considered remote based on the limited scope of activities performed at the site

  12. DOE - Office of Legacy Management -- Wesleyan University - CT 12

    Office of Legacy Management (LM)

    Wesleyan University - CT 12 FUSRAP Considered Sites Site: Wesleyan University (CT.12 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Middletown , Connecticut CT.12-1 Evaluation Year: 1995 CT.12-2 Site Operations: Spectrographic research on small quantities of uranium wire (several inches in length) in Physics Department circa late 1950. CT.12-1 Site Disposition: Eliminated - Potential for contamination considered remote due to the

  13. Chevron U.S.A. Inc.- 14-119-LNG

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy gives notice of receipt of an Application filed August 27, 2014 by Chevron U.S.A. Inc. (Chevron), requesting blanket authorization to export liquefied natural gas (LNG)...

  14. TianRun USA Inc | Open Energy Information

    Open Energy Info (EERE)

    Minnesota Sector: Wind energy Product: Minnesota-based investment arm of Goldwind Science & Technology, Beijing Tianrun invested USD 3m to set up the TianRun USA subsidiary in...

  15. DuraLamp USA: Proposed Penalty (2010-CE-0912)

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE alleged in a Notice of Proposed Civil Penalty that DuraLamp USA, Inc. failed to certify a variety of general service fluorescent lamps as compliant with the applicable energy conservation standards.

  16. Smeg USA: Proposed Penalty (2011-CE-14/1909)

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE alleged in a Notice of Proposed Civil Penalty that Smeg USA, Inc. failed to certify a variety of dishwashers and refrigerators as compliant with the applicable energy conservation standards.

  17. De'Longhi USA: Order (2010-CE-2114)

    Broader source: Energy.gov [DOE]

    DOE issued an Order after entering into a Compromise Agreement with De'Longhi USA, Inc. to resolve a case involving the failure to certify that a variety of dehumidifiers comply with the applicable energy conservation standards.

  18. De'Longhi USA: Proposed Penalty (2010-CE-2114)

    Broader source: Energy.gov [DOE]

    DOE alleged in a Notice of Proposed Civil Penalty that De'Longhi USA, Inc. failed to certify a variety of dehumidifiers as compliant with the applicable energy conservation standards.

  19. 2012 USA Science & Engineering Festival | Princeton Plasma Physics...

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

    USA Science & Engineering Festival View larger image IMG 0658 View larger image IMG 0659 View larger image IMG 0664 View larger image IMG 0667 View larger image IMG 0682 View...

  20. PROJECT PROFILE: Fraunhofer USA, Center for Sustainable Energy Systems CSE

    Energy Savers [EERE]

    (SHINES) | Department of Energy Fraunhofer USA, Center for Sustainable Energy Systems CSE (SHINES) PROJECT PROFILE: Fraunhofer USA, Center for Sustainable Energy Systems CSE (SHINES) Title: SunDial - An Integrated SHINES System to Enable High-Penetration Feeder-Level Photovoltaics Fraunhofer logo.png Funding Opportunity: Sustainable and Holistic Integration of Energy Storage and Solar PV SunShot Subprogram: Systems Integration Location: Boston, Massachusetts Partners: National Grid, EnerNOC

  1. USA Science and Engineering Festival: Inspiring and Educating the Clean

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

    Energy Workforce of Tomorrow | Department of Energy USA Science and Engineering Festival: Inspiring and Educating the Clean Energy Workforce of Tomorrow USA Science and Engineering Festival: Inspiring and Educating the Clean Energy Workforce of Tomorrow April 23, 2014 - 9:52am Addthis The Energy Department has several free resources that help educators teach students about clean energy including (clockwise, from top left) the <a

  2. EA-332 Nexen Marketing U.S.A. Inc. | Department of Energy

    Energy Savers [EERE]

    Nexen Marketing U.S.A. Inc. EA-332 Nexen Marketing U.S.A. Inc. Order authorizing Nexen Marketing U.S.A. Inc. to export electric energy to Canada PDF icon EA-332 Nexen Marketing U.S.A. Inc. More Documents & Publications EA-332-A

  3. EA-332-A Nexen Marketing U.S.A. Inc. | Department of Energy

    Energy Savers [EERE]

    -A Nexen Marketing U.S.A. Inc. EA-332-A Nexen Marketing U.S.A. Inc. Order authorizing Nexen Marketing U.S.A. Inc. to export electric energy to Canada PDF icon EA-332-A Nexen Marketing U.S.A. Inc. More Documents & Publications EA-332

  4. ,"Gulf of Mexico Federal Offshore - Louisiana and Alabama Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

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

    Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Gulf of Mexico Federal Offshore - Louisiana and Alabama Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic

  5. Implications of CT noise and artifacts for quantitative {sup 99m}Tc SPECT/CT imaging

    SciTech Connect (OSTI)

    Hulme, K. W.; Kappadath, S. C.

    2014-04-15

    Purpose: This paper evaluates the effects of computed tomography (CT) image noise and artifacts on quantitative single-photon emission computed-tomography (SPECT) imaging, with the aim of establishing an appropriate range of CT acquisition parameters for low-dose protocols with respect to accurate SPECT attenuation correction (AC). Methods: SPECT images of two geometric and one anthropomorphic phantom were reconstructed iteratively using CT scans acquired at a range of dose levels (CTDI{sub vol} = 0.4 to 46 mGy). Resultant SPECT image quality was evaluated by comparing mean signal, background noise, and artifacts to SPECT images reconstructed using the highest dose CT for AC. Noise injection was performed on linear-attenuation (?) maps to determine the CT noise threshold for accurate AC. Results: High levels of CT noise (? ? 200400 HU) resulted in low ?-maps noise (? ? 1%3%). Noise levels greater than ?10% in 140 keV ?-maps were required to produce visibly perceptible increases of ?15% in {sup 99m}Tc SPECT images. These noise levels would be achieved at low CT dose levels (CTDI{sub vol} = 4 ?Gy) that are over 2 orders of magnitude lower than the minimum dose for diagnostic CT scanners. CT noise could also lower (bias) the expected ? values. The relative error in reconstructed SPECT signal trended linearly with the relative shift in ?. SPECT signal was, on average, underestimated in regions corresponding with beam-hardening artifacts in CT images. Any process that has the potential to change the CT number of a region by ?100 HU (e.g., misregistration between CT images and SPECT images due to motion, the presence of contrast in CT images) could introduce errors in ?{sub 140} {sub keV} on the order of 10%, that in turn, could introduce errors on the order of ?10% into the reconstructed {sup 99m}Tc SPECT image. Conclusions: The impact of CT noise on SPECT noise was demonstrated to be negligible for clinically achievable CT parameters. Because CT dose levels that affect SPECT quantification is low (CTDI{sub vol} ? 4 ?Gy), the low dose limit for the CT exam as part of SPECT/CT will be guided by CT image quality requirements for anatomical localization and artifact reduction. A CT technique with higher kVp in combination with lower mAs is recommended when low-dose CT images are used for AC to minimize beam-hardening artifacts.

  6. Geologic setting, petrophysical characteristics, and regional heterogeneity patterns of the Smackover in southwest Alabama. Draft topical report on Subtasks 2 and 3

    SciTech Connect (OSTI)

    Kopaska-Merkel, D.C.; Mann, S.D.; Tew, B.H.

    1992-06-01

    This is the draft topical report on Subtasks 2 and 3 of DOE contract number DE-FG22-89BC14425, entitled ``Establishment of an oil and gas database for increased recovery and characterization of oil and gas carbonate reservoir heterogeneity.`` This volume constitutes the final report on Subtask 3, which had as its primary goal the geological modeling of reservoir heterogeneity in Smackover reservoirs of southwest Alabama. This goal was interpreted to include a thorough analysis of Smackover reservoirs, which was required for an understanding of Smackover reservoir heterogeneity. This report is divided into six sections (including this brief introduction). Section two, entitled ``Geologic setting,`` presents a concise summary of Jurassic paleogeography, structural setting, and stratigraphy in southwest Alabama. This section also includes a brief review of sedimentologic characteristics and stratigraphic framework of the Smackover, and a summary of the diagenetic processes that strongly affected Smackover reservoirs in Alabama. Section three, entitled ``Analytical methods,`` summarizes all nonroutine aspects of the analytical procedures used in this project. The major topics are thin-section description, analysis of commercial porosity and permeability data, capillary-pressure analysis, and field characterization. ``Smackover reservoir characteristics`` are described in section four, which begins with a general summary of the petrographic characteristics of porous and permeable Smackover strata. This is followed by a more-detailed petrophysical description of Smackover reservoirs.

  7. Eni USA Gas Marketing LLC- FE Dkt. No.- 15-13-LNG

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy gives notice of receipt of an Application filed January 21, 2015 by Eni USA Gas Marketing LLC (ENI USA Gas Marketing), requesting blanket authorization to export...

  8. Solar World USA not SolarWorld AG | Open Energy Information

    Open Energy Info (EERE)

    World USA not SolarWorld AG Jump to: navigation, search Name: Solar World USA (not SolarWorld AG) Place: Colorado Springs, Colorado Zip: 80907 Sector: Solar Product: Solar World...

  9. SEMI-ANNUAL REPORTS FOR PIERIDAE ENERGY (USA), LTD - DKT. NO...

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

    PIERIDAE ENERGY (USA), LTD - DKT. NO. 14-179-LNG - ORDER 3639 SEMI-ANNUAL REPORTS FOR PIERIDAE ENERGY (USA), LTD - DKT. NO. 14-179-LNG - ORDER 3639 PDF icon October 2015 More ...

  10. Advanced Li-Ion Polymer Battery Cell Manufacturing Plant in USA...

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

    Li-Ion Polymer Battery Cell Manufacturing Plant in USA Advanced Li-Ion Polymer Battery Cell Manufacturing Plant in USA 2012 DOE Hydrogen and Fuel Cells Program and Vehicle ...

  11. FUJIFILM Hunt Chemicals U.S.A. Achieves Compressed Air System...

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

    U.S.A. Achieves Compressed Air System Energy-Reduction Goals with a Three-Phased Strategy FUJIFILM Hunt Chemicals U.S.A. Achieves Compressed Air System Energy-Reduction Goals...

  12. Upcoming H2USA Workshop: Hydrogen Fueling Station Component Listings

    Broader source: Energy.gov [DOE]

    H2USA will host an online workshop about hydrogen fueling station component listings on April 22 from 2 to 3:30 p.m. Eastern Daylight Time. This workshop will focus on the need for components for hydrogen fueling stations to be listed by Nationally Recognized Testing Laboratories (NRTLs).

  13. National Fuel Cell and Hydrogen Energy Overview: Total Energy USA 2012 |

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

    Department of Energy National Fuel Cell and Hydrogen Energy Overview: Total Energy USA 2012 National Fuel Cell and Hydrogen Energy Overview: Total Energy USA 2012 Presentation by Sunita Satyapal at the Total Energy USA 2012 meeting in Houston, Texas, on November 27, 2012. PDF icon National Fuel Cell and Hydrogen Energy Overview More Documents & Publications U.S. Department of Energy Fuel Cell Activities: Progress and Future Directions: Total Energy USA 2012 Overview of Hydrogen and Fuel

  14. ENG-Canada-USA Government Procurement (clean 11 Feb 2010 printed) |

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

    Department of Energy ENG-Canada-USA Government Procurement (clean 11 Feb 2010 printed) ENG-Canada-USA Government Procurement (clean 11 Feb 2010 printed) PDF icon ENG-Canada-USA Government Procurement (clean 11 Feb 2010 printed) More Documents & Publications DOE F 551.1 hd_hydrogen_2007.xls Energy Storage Systems 2010 Update Conference

  15. bectso-ct121 | netl.doe.gov

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

    ... Comprehensive Report to Congress Comprehensive Report to Congress on the Clean Coal Technology Program: Demonstration of Innovative Applications of Technology for the CT-121 FGD ...

  16. Predix and Robots in CT Systems | GE Global Research

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

    Robots and Predix make Beijing's CT factory brilliant Click to email this to a friend (Opens in new window) Share on Facebook (Opens in new window) Click to share (Opens in new window) Click to share on LinkedIn (Opens in new window) Click to share on Tumblr (Opens in new window) Robots and Predix make Beijing's CT factory brilliant Guoshuang Cai 2015.04.16 GE Healthcare's Beijing plant is one of the largest factories producing computed tomography (CT) systems in the world. More than 1,000 CT

  17. CT. L-2 United States Government

    Office of Legacy Management (LM)

    7325.8 (a-a9J - EFG (OMOJ CT. L-2 United States Government 8 ",> I,: Ti -& d .- " * memorandum (' -. r_l DATE: AUG 10 1993 REPLY TO ATTN OF: EM-421 (W. Williams, 903-8149) SUSJECT: Hazard Assessment for Radioactive Contamination at the Seymour Site, Seymour, Connecticut To' L. Price, OR - We have reviewed the Hazard Assessment for the Radioactive Contamination at the Sevmour Site. Sevmour, Connecticut dated May 1993. This hazard assessment is related to residual radioaciive

  18. "EMM Region","PC","IGCC","PC","Conv. CT","Adv. CT","Conv. CC...

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

    CT","Conv. CC","Adv. CC","Adv. CC wCCS","Fuel Cell","Nuclear","Biomass","MSW","On-shore Wind","Off-shore Wind","Solar Thermal","Solar PV" ,,,"wCCS" "1 (ERCT)",0.91,0.92,0.92,0.93...

  19. SU-E-T-70: Commissioning a Multislice CT Scanner for X-Ray CT Polymer Gel Dosimetry

    SciTech Connect (OSTI)

    Johnston, H; Hilts, M; Jirasek, A

    2014-06-01

    Purpose: To commission a multislice computed tomography (CT) scanner for fast and reliable readout of radiation therapy (RT) dose distributions using CT polymer gel dosimetry (PGD). Methods: Commissioning was performed for a 16-slice CT scanner using images acquired through a 1L cylinder filled with water. Additional images were collected using a single slice machine for comparison purposes. The variability in CT number associated with the anode heel effect was evaluated and used to define a new slice-by-slice background image subtraction technique. Image quality was assessed for the multislice system by comparing image noise and uniformity to that of the single slice machine. The consistency in CT number across slices acquired simultaneously using the multislice detector array was also evaluated. Finally, the variability in CT number due to increasing x-ray tube load was measured for the multislice scanner and compared to the tube load effects observed on the single slice machine. Results: Slice-by-slice background subtraction effectively removes the variability in CT number across images acquired simultaneously using the multislice scanner and is the recommended background subtraction method when using a multislice CT system. Image quality for the multislice machine was found to be comparable to that of the single slice scanner. Further study showed CT number was consistent across image slices acquired simultaneously using the multislice detector array for each detector configuration of the slice thickness examined. In addition, the multislice system was found to eliminate variations in CT number due to increasing x-ray tube load and reduce scanning time by a factor of 4 when compared to imaging a large volume using a single slice scanner. Conclusion: A multislice CT scanner has been commissioning for CT PGD, allowing images of an entire dose distribution to be acquired in a matter of minutes. Funding support provided by the Natural Sciences and Engineering Research Council of Canada (NSERC)

  20. GEOLOGIC SCREENING CRITERIA FOR SEQUESTRATION OF CO2 IN COAL: QUANTIFYING POTENTIAL OF THE BLACK WARRIOR COALBED METHANE FAIRWAY, ALABAMA

    SciTech Connect (OSTI)

    Jack C. Pashin; Richard E. Carroll; Richard H. Groshong Jr.; Dorothy E. Raymond; Marcella McIntyre; J. Wayne Payton

    2004-01-01

    Sequestration of CO{sub 2} in coal has potential benefits for reducing greenhouse gas emissions from the highly industrialized Carboniferous coal basins of North America and Europe and for enhancing coalbed methane recovery. Hence, enhanced coalbed methane recovery operations provide a basis for a market-based environmental solution in which the cost of sequestration is offset by the production and sale of natural gas. The Black Warrior foreland basin of west-central Alabama contains the only mature coalbed methane production fairway in eastern North America, and data from this basin provide an excellent basis for quantifying the carbon sequestration potential of coal and for identifying the geologic screening criteria required to select sites for the demonstration and commercialization of carbon sequestration technology. Coalbed methane reservoirs in the upper Pottsville Formation of the Black Warrior basin are extremely heterogeneous, and this heterogeneity must be considered to screen areas for the application of CO{sub 2} sequestration and enhanced coalbed methane recovery technology. Major screening factors include stratigraphy, geologic structure, geothermics, hydrogeology, coal quality, sorption capacity, technology, and infrastructure. Applying the screening model to the Black Warrior basin indicates that geologic structure, water chemistry, and the distribution of coal mines and reserves are the principal determinants of where CO{sub 2} can be sequestered. By comparison, coal thickness, temperature-pressure conditions, and coal quality are the key determinants of sequestration capacity and unswept coalbed methane resources. Results of this investigation indicate that the potential for CO{sub 2} sequestration and enhanced coalbed methane recovery in the Black Warrior basin is substantial and can result in significant reduction of greenhouse gas emissions while increasing natural gas reserves. Coal-fired power plants serving the Black Warrior basin in Alabama emit approximately 31 MMst (2.4 Tcf) of CO{sub 2} annually. The total sequestration capacity of the Black Warrior coalbed methane fairway at 350 psi is about 189 MMst (14.9 Tcf), which is equivalent to 6.1 years of greenhouse gas emissions from the coal-fired power plants. Applying the geologic screening model indicates that significant parts of the coalbed methane fairway are not accessible because of fault zones, coal mines, coal reserves, and formation water with TDS content less than 3,000 mg/L. Excluding these areas leaves a sequestration potential of 60 MMst (4.7 Tcf), which is equivalent to 1.9 years of emissions. Therefore, if about10 percent of the flue gas stream from nearby power plants is dedicated to enhanced coalbed methane recovery, a meaningful reduction of CO{sub 2} emissions can be realized for nearly two decades. If the fresh-water restriction were removed for the purposes of CO{sub 2} sequestration, an additional 10 MMst (0.9 Tcf) of CO{sub 2} could feasibly be sequestered. The amount of unswept coalbed methane in the fairway is estimated to be 1.49 Tcf at a pressure of 50 psi. Applying the screening model results in an accessible unswept gas resource of 0.44 Tcf. Removal of the fresh-water restriction would elevate this number to 0.57 Tcf. If a recovery factor of 80 percent can be realized, then enhanced recovery activities can result in an 18 percent expansion of coalbed methane reserves in the Black Warrior basin.

  1. Explosive Detection in Aviation Applications Using CT

    SciTech Connect (OSTI)

    Martz, H E; Crawford, C R

    2011-02-15

    CT scanners are deployed world-wide to detect explosives in checked and carry-on baggage. Though very similar to single- and dual-energy multi-slice CT scanners used today in medical imaging, some recently developed explosives detection scanners employ multiple sources and detector arrays to eliminate mechanical rotation of a gantry, photon counting detectors for spectral imaging, and limited number of views to reduce cost. For each bag scanned, the resulting reconstructed images are first processed by automated threat recognition algorithms to screen for explosives and other threats. Human operators review the images only when these automated algorithms report the presence of possible threats. The US Department of Homeland Security (DHS) has requirements for future scanners that include dealing with a larger number of threats, higher probability of detection, lower false alarm rates and lower operating costs. One tactic that DHS is pursuing to achieve these requirements is to augment the capabilities of the established security vendors with third-party algorithm developers. A third-party in this context refers to academics and companies other than the established vendors. DHS is particularly interested in exploring the model that has been used very successfully by the medical imaging industry, in which university researchers develop algorithms that are eventually deployed in commercial medical imaging equipment. The purpose of this paper is to discuss opportunities for third-parties to develop advanced reconstruction and threat detection algorithms.

  2. ,"Gulf of Mexico Federal Offshore - Louisiana and Alabama Dry Natural Gas Expected Future Production (Billion Cubic Feet)"

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

    Dry Natural Gas Expected Future Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Gulf of Mexico Federal Offshore - Louisiana and Alabama Dry Natural Gas Expected Future Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next

  3. ,"Gulf of Mexico Federal Offshore - Louisiana and Alabama Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)"

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

    Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Gulf of Mexico Federal Offshore - Louisiana and Alabama Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  4. ,"Gulf of Mexico Federal Offshore - Louisiana and Alabama Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)"

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

    Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Gulf of Mexico Federal Offshore - Louisiana and Alabama Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014

  5. American Ref-Fuel of SE CT Biomass Facility | Open Energy Information

    Open Energy Info (EERE)

    Ref-Fuel of SE CT Biomass Facility Jump to: navigation, search Name American Ref-Fuel of SE CT Biomass Facility Facility American Ref-Fuel of SE CT Sector Biomass Facility Type...

  6. MicroCT: Semi-Automated Analysis of CT Reconstructed Data of Home Made Explosive Materials Using the Matlab MicroCT Analysis GUI

    SciTech Connect (OSTI)

    Seetho, I M; Brown, W D; Kallman, J S; Martz, H E; White, W T

    2011-09-22

    This Standard Operating Procedure (SOP) provides the specific procedural steps for analyzing reconstructed CT images obtained under the IDD Standard Operating Procedures for data acquisition [1] and MicroCT image reconstruction [2], per the IDD Quality Assurance Plan for MicroCT Scanning [3]. Although intended to apply primarily to MicroCT data acquired in the HEAFCAT Facility at LLNL, these procedures may also be applied to data acquired at Tyndall from the YXLON cabinet and at TSL from the HEXCAT system. This SOP also provides the procedural steps for preparing the tables and graphs to be used in the reporting of analytical results. This SOP applies to R and D work - for production applications, use [4].

  7. MicroCT: Automated Analysis of CT Reconstructed Data of Home Made Explosive Materials Using the Matlab MicroCT Analysis GUI

    SciTech Connect (OSTI)

    Seetho, I M; Brown, W D; Kallman, J S; Martz, H E; White, W T

    2011-09-22

    This Standard Operating Procedure (SOP) provides the specific procedural steps for analyzing reconstructed CT images obtained under the IDD Standard Operating Procedures for data acquisition [1] and MicroCT image reconstruction [2], per the IDD Quality Assurance Plan for MicroCT Scanning [3]. Although intended to apply primarily to MicroCT data acquired in the HEAFCAT Facility at LLNL, these procedures may also be applied to data acquired at Tyndall from the YXLON cabinet and at TSL from the HEXCAT system. This SOP also provides the procedural steps for preparing the tables and graphs to be used in the reporting of analytical results. This SOP applies to production work - for R and D there are two other semi-automated methods as given in [4, 5].

  8. DOE - Office of Legacy Management -- New England Lime Co - CT 10

    Office of Legacy Management (LM)

    England Lime Co - CT 10 FUSRAP Considered Sites Site: NEW ENGLAND LIME CO. (CT.10) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: NELCO (Magnesium Division) CT.10-1 Location: Canaan , Connecticut CT.10-2 Evaluation Year: 1987 CT.10-1 Site Operations: AEC source for magnesium and calcium. Conducted limited tests to evaluate potential for recovery of magnesium from uranium residues. CT.10-2 Site Disposition: Eliminated - Potential for contamination

  9. DOE - Office of Legacy Management -- Yale Heavy Ion Linear Accelerator - CT

    Office of Legacy Management (LM)

    05 Yale Heavy Ion Linear Accelerator - CT 05 FUSRAP Considered Sites Site: Yale Heavy Ion Linear Accelerator (CT.05) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: New Haven , Connecticut CT.05-1 Evaluation Year: 1987 CT.05-3 Site Operations: Research and development with solvents. CT.05-1 Site Disposition: Eliminated - Potential for contamination remote based on limited amount of materials handled CT.05-3 Radioactive Materials

  10. DOE - Office of Legacy Management -- American Chain and Cable Co - CT 15

    Office of Legacy Management (LM)

    Chain and Cable Co - CT 15 FUSRAP Considered Sites Site: American Chain and Cable Co (CT.15 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Bridgeport , Connecticut CT.15-1 Evaluation Year: 1987 CT.15-1 Site Operations: Research and development involving uranium metal reclamation. CT.15-1 CT.15-2 Site Disposition: Eliminated - Potential for contamination considered remote based on the limited quantity of materials and short duration of

  11. Vascular Flora of the Rocky Flats Area, Jefferson County, Colorado, USA |

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

    Department of Energy Vascular Flora of the Rocky Flats Area, Jefferson County, Colorado, USA Vascular Flora of the Rocky Flats Area, Jefferson County, Colorado, USA August 2010 Jody K. Nelson PDF icon Vascular Flora of the Rocky Flats Area, Jefferson County, Colorado, USA More Documents & Publications Smooth Brome Monitoring at Rocky Flats-2005 Results EA-0847: Final Environmental Assessment Landfill Cover Revegetation at the Rocky Flats Environmental Technology Site

  12. MOU signed between CIAE and Jefferson National Lab, USA. (China Nuclear

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

    Industry News, General News) | Jefferson Lab https://www.jlab.org/news/articles/mou-signed-between-ciae-and-jefferson-national-lab-usa-china-nuclear-industry-news-ge... MOU signed between CIAE and Jefferson National Lab, USA. (News) Recently, the deputy director of Jefferson National Lab, USA visited the China Institute of Atomic Energy (CIAE). An MOU on the collaboration between the two institutions were signed during the visit. The medium-and-high energy physics group at CIAE has been

  13. EXC-12-0010 - In the Matter of DLU Lighting USA | Department of Energy

    Office of Environmental Management (EM)

    10 - In the Matter of DLU Lighting USA EXC-12-0010 - In the Matter of DLU Lighting USA On September 6, 2012, OHA issued a decision denying an Application for Exception filed by DLU Lighting USA (DLU) for relief from the provisions of 10 C.F.R. Part 430, Energy Conservation Program: Energy Conservation Standards and Test Procedures for General Service Fluorescent Lamps and Incandescent Reflector Lamps (Lighting Efficiency Standards). In its exception request, DLU asserted that it will suffer a

  14. Recent Photovoltaic Performance Data in the USA (Presentation)

    SciTech Connect (OSTI)

    Jordan, D.

    2014-03-01

    This paper presents performance data from nearly 50,000 Photovoltaic systems totaling 1.7 Gigawatts installed capacity in the USA from 2009 to 2012. 90% of the systems performed to within 10% or better of expected performance. Only 2-4% of the data indicate issues significantly affecting the system performance. Special causes of underperformance and their impacts are delineated by reliability category. Delays and interconnections dominate project-related issues particularly in the first year, but total less than 0.5% of all systems. Hardware-related issues are dominated by inverter problems totaling less than 0.4% and underperforming modules to less than 0.1%.

  15. DOW CHEMICAL U.S.A. + WESTERN DIVISION

    Office of Legacy Management (LM)

    DOW CHEMICAL U.S.A. + WESTERN DIVISION 2855 MITCHELL DRIVE WALNUT CREEK. CtyLlFORNlA 94598 October 29,1976 415 944-2300 (., L,'; ! - J. 022 . William J. Thornton Health Protection Branch Safety and Environmental Control Division U.S. Energy Research and Development Administration Oak Ridge Operations P. 0. Box E Oak Ridge, Tennessee 37830 Dear Mr. Thornton: This letter is in response to your request of September 24,1976 for information on records of radiological condition of the laboratories at

  16. Comparison of the ENERGYGAUGE USA and BEopt Building Energy Simulation Programs

    SciTech Connect (OSTI)

    Parker, Danny S.; Cummings, Jamie E.

    2009-08-01

    This report compares two hourly energy simulation softwares, BEopt and Energy Gauge USA, to ensure accuracy and evaluate agreement on the impact of various energy efficiency improvements.

  17. 189,"Alabama Electric Coop Inc",1,"Lowman","Chatom",100,19.94,"OH","AC",230,230,1351.5,"ACSR","Single",1,1,"Wooden H-Frame",500

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

    189,"Alabama Electric Coop Inc",1,"Lowman","Chatom",100,19.94,"OH","AC",230,230,1351.5,"ACSR","Single",1,1,"Wooden H-Frame",500 189,"Alabama Electric Coop Inc",2,"Chatom","Waynesboro",42.7,32.11,"OH","AC",230,230,1351.5,"ACSR","Single",1,1,"Wooden H-Frame",469 189,"Alabama Electric Coop

  18. 189,"Alabama Electric Coop Inc",1,"Lowman","Chatom",100,19.94,"OH","AC",230,230,1351.5,"ACSR","Single",1,1,"Wooden H-Frame",500

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

    189,"Alabama Electric Coop Inc",1,"Lowman","Chatom",100,19.94,"OH","AC",230,230,1351.5,"ACSR","Single",1,1,"Wooden H-Frame",500 189,"Alabama Electric Coop Inc",2,"Chatom","Waynesboro",42.7,32.11,"OH","AC",230,230,1351.5,"ACSR","Single",1,1,"Wooden H-Frame",469 189,"Alabama Electric Coop

  19. BAIC CT T SK Holdings JV | Open Energy Information

    Open Energy Info (EERE)

    JV Place: Beijing Municipality, China Product: China-based JV to manufacture and sell electric cars. References: BAIC, CT&T & SK Holdings JV1 This article is a stub. You can...

  20. Ozone contactor hydraulic considerations in meeting CT disinfection

    Office of Scientific and Technical Information (OSTI)

    requirements (Journal Article) | SciTech Connect Ozone contactor hydraulic considerations in meeting CT disinfection requirements Citation Details In-Document Search Title: Ozone contactor hydraulic considerations in meeting CT disinfection requirements Tracer studies were performed in bench and pilot scale ozone diffusion contactors to determine actual contact times for the bench and pilot scale units and to characterize the flow pattern through these reactors. It was recognized that the

  1. CT Scan of Earth Links Mantle Plumes with Volcanic Hotspots

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

    CT Scan of Earth Links Mantle Plumes with Volcanic Hotspots CT Scan of Earth Links Mantle Plumes with Volcanic Hotspots Simulations Run at NERSC Show How Seismic Waves Travel Through Mantle September 2, 2015 Robert Sanders, rlsanders@berkeley.edu, (510) 643-6998 NERSC PI: Barbara Romanowicz Lead Institution: University of California, Berkeley Project Title: Imaging and Calibration of Mantle Structure at Global and Regional Scales Using Full-Waveform Seismic Tomography NERSC Resources Used:

  2. Domestic* Foreign* Total Alabama

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

    754 6,007 Mississippi 3,603 - 3,603 Missouri 596 - 596 Montana 39,612 653 40,265 New Mexico 26,262 - 26,262 North Dakota 30,055 - 30,055 Ohio 21,155 635 21,790 Oklahoma 1,782...

  3. Alabama Natural Gas Summary

    Gasoline and Diesel Fuel Update (EIA)

    4.46 1967-2010 Pipeline and Distribution Use 1967-2005 Citygate 6.46 5.80 5.18 4.65 4.93 NA 1984-2015 Residential 15.79 15.08 16.20 15.47 14.59 13.95 1967-2015 Commercial 13.34 12.36 12.56 12.35 11.92 11.03 1967-2015 Industrial 6.64 5.57 4.35 4.98 5.49 3.94 1997-2015 Vehicle Fuel 16.24 11.45 17.99 1990-2012 Electric Power 4.85 W 3.09 4.14 4.74 3.06 1997-2015 Dry Proved Reserves (Billion Cubic Feet) Proved Reserves as of 12/31 2,629 2,475 2,228 1,597 2,036 1977-2014 Adjustments 32 -49 112 -274

  4. Alabama Natural Gas Summary

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

    Production (Million Cubic Feet) Gross Withdrawals NA NA NA NA NA NA 1991-2015 From Gas Wells NA NA NA NA NA NA 1991-2015 From Oil Wells NA NA NA NA NA NA 1991-2015 From Shale Gas ...

  5. Alabama Natural Gas Prices

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

    4.46 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 6.46 5.80 5.18 4.65 4.93 NA 1984-2015 Residential Price 15.79 15.08 16.20 15.47 14.59 13.95 1967-2015 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 99.0 1989-2015 Commercial Price 13.34 12.36 12.56 12.35 11.92 11.03 1967-2015 Percentage of Total Commercial Deliveries included in Prices 79.3 78.9 76.2 76.6 78.4 77.6 1990-2015 Industrial Price 6.64 5.57 4.35 4.98 5.49 3.94

  6. Alabama Proved Nonproducing Reserves

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

    0 1 2 2 15 1996-2014 Lease Condensate (million bbls) 0 0 0 0 1 0 1998-2014 Total Gas (billion cu ft) 126 162 102 40 73 36 1996-2014 Nonassociated Gas (billion cu ft) 126 162 101 38 71 26 1996-2014 Associated Gas (billion cu ft) 0 0 1 2 2 1

  7. ,"Alabama Natural Gas Prices"

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

    Date:","3312016" ,"Excel File Name:","ngprisumdcusalm.xls" ,"Available from Web Page:","http:www.eia.govdnavngngprisumdcusalm.htm" ,"Source:","Energy ...

  8. Alabama Natural Gas Prices

    Gasoline and Diesel Fuel Update (EIA)

    Jul-15 Aug-15 Sep-15 Oct-15 Nov-15 Dec-15 View History Citygate Price 3.80 4.04 3.81 3.83 3.61 3.27 1989-2015 Residential Price 20.35 20.60 20.38 19.12 17.67 14.30 1989-2015 Percentage of Total Residential Deliveries included in Prices 100.0 68.8 100.0 100.0 100.0 100.0 2002-2015 Commercial Price 11.89 11.93 11.75 11.40 11.47 10.73 1989-2015 Percentage of Total Commercial Deliveries included in Prices 70.5 69.7 69.7 68.6 69.9 76.2 1989-2015 Industrial Price 3.82 3.91 3.68 3.48 3.33 3.48

  9. DOE - Office of Legacy Management -- Metals Selling Corp - CT 0-01

    Office of Legacy Management (LM)

    Selling Corp - CT 0-01 FUSRAP Considered Sites Site: METALS SELLING CORP. (CT.0-01 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Putnam , Connecticut CT.0-01-1 Evaluation Year: 1986 CT.0-01-1 Site Operations: Performed grinding of (non-radioactive) magnesium circa 1950 -1952 as a sub-contractor to Mallinckrodt Corp. CT.0-01-1 Site Disposition: Eliminated - No indication that radioactive materials were handled at this location

  10. GEOLOGIC SCREENING CRITERIA FOR SEQUESTRATION OF CO2 IN COAL: QUANTIFYING POTENTIAL OF THE BLACK WARRIOR COALBED METHANE FAIRWAY, ALABAMA

    SciTech Connect (OSTI)

    Jack C. Pashin; Richard E. Carroll; Richard H. Groshong, Jr.; Dorothy E. Raymond; Marcella McIntyre; J. Wayne Payton

    2003-01-01

    Sequestration of CO{sub 2} in coal has potential to reduce greenhouse gas emissions from coal-fired power plants while enhancing coalbed methane recovery. Data from more than 4,000 coalbed methane wells in the Black Warrior basin of Alabama provide an opportunity to quantify the carbon sequestration potential of coal and to develop a geologic screening model for the application of carbon sequestration technology. This report summarizes stratigraphy and sedimentation, structural geology, geothermics, hydrology, coal quality, gas capacity, and production characteristics of coal in the Black Warrior coalbed methane fairway and the implications of geology for carbon sequestration and enhanced coalbed methane recovery. Coal in the Black Warrior basin is distributed among several fluvial-deltaic coal zones in the Lower Pennsylvanian Pottsville Formation. Most coal zones contain one to three coal beds that are significant targets for coalbed methane production and carbon sequestration, and net coal thickness generally increases southeastward. Pottsville strata have effectively no matrix permeability to water, so virtually all flow is through natural fractures. Faults and folds influence the abundance and openness of fractures and, hence, the performance of coalbed methane wells. Water chemistry in the Pottsville Formation ranges from fresh to saline, and zones with TDS content lower than 10,000 mg/L can be classified as USDW. An aquifer exemption facilitating enhanced recovery in USDW can be obtained where TDS content is higher than 3,000 mg/L. Carbon dioxide becomes a supercritical fluid above a temperature of 88 F and a pressure of 1,074 psi. Reservoir temperature exceeds 88 F in much of the study area. Hydrostatic pressure gradients range from normal to extremely underpressured. A large area of underpressure is developed around closely spaced longwall coal mines, and areas of natural underpressure are distributed among the coalbed methane fields. The mobility and reactivity of supercritical CO{sub 2} in coal-bearing strata is unknown, and potential exists for supercritical conditions to develop below a depth of 2,480 feet following abandonment of the coalbed methane fields. High-pressure adsorption isotherms confirm that coal sorbs approximately twice as much CO{sub 2} as CH{sub 4} and approximately four times as much CO{sub 2} as N{sub 2}. Analysis of isotherm data reveals that the sorption performance of each gas can vary by a factor of two depending on rank and ash content. Gas content data exhibit extreme vertical and lateral variability that is the product of a complex burial history involving an early phase of thermogenic gas generation and an ongoing stage of late biogenic gas generation. Production characteristics of coalbed methane wells are helpful for identifying areas that are candidates for carbon sequestration and enhanced coalbed methane recovery. Many geologic and engineering factors, including well construction, well spacing, and regional structure influence well performance. Close fault spacing limits areas where five-spot patterns may be developed for enhanced gas recovery, but large structural panels lacking normal faults are in several gas fields and can be given priority as areas to demonstrate and commercialize carbon sequestration technology in coalbed methane reservoirs.

  11. CT reconstruction techniques for improved accuracy of lung CT airway measurement

    SciTech Connect (OSTI)

    Rodriguez, A.; Ranallo, F. N.; Judy, P. F.; Gierada, D. S.; Fain, S. B.

    2014-11-01

    Purpose: To determine the impact of constrained reconstruction techniques on quantitative CT (qCT) of the lung parenchyma and airways for low x-ray radiation dose. Methods: Measurement of small airways with qCT remains a challenge, especially for low x-ray dose protocols. Images of the COPDGene quality assurance phantom (CTP698, The Phantom Laboratory, Salem, NY) were obtained using a GE discovery CT750 HD scanner for helical scans at x-ray radiation dose-equivalents ranging from 1 to 4.12 mSv (12100 mA s currenttime product). Other parameters were 40 mm collimation, 0.984 pitch, 0.5 s rotation, and 0.625 mm thickness. The phantom was sandwiched between 7.5 cm thick water attenuating phantoms for a total length of 20 cm to better simulate the scatter conditions of patient scans. Image data sets were reconstructed using STANDARD (STD), DETAIL, BONE, and EDGE algorithms for filtered back projection (FBP), 100% adaptive statistical iterative reconstruction (ASIR), and Veo reconstructions. Reduced (half) display field of view (DFOV) was used to increase sampling across airway phantom structures. Inner diameter (ID), wall area percent (WA%), and wall thickness (WT) measurements of eight airway mimicking tubes in the phantom, including a 2.5 mm ID (42.6 WA%, 0.4 mm WT), 3 mm ID (49.0 WA%, 0.6 mm WT), and 6 mm ID (49.0 WA%, 1.2 mm WT) were performed with Airway Inspector (Surgical Planning Laboratory, Brigham and Womens Hospital, Boston, MA) using the phase congruency edge detection method. The average of individual measures at five central slices of the phantom was taken to reduce measurement error. Results: WA% measures were greatly overestimated while IDs were underestimated for the smaller airways, especially for reconstructions at full DFOV (36 cm) using the STD kernel, due to poor sampling and spatial resolution (0.7 mm pixel size). Despite low radiation dose, the ID of the 6 mm ID airway was consistently measured accurately for all methods other than STD FBP. Veo reconstructions showed slight improvement over STD FBP reconstructions (4%9% increase in accuracy). The most improved ID and WA% measures were for the smaller airways, especially for low dose scans reconstructed at half DFOV (18 cm) with the EDGE algorithm in combination with 100% ASIR to mitigate noise. Using the BONE + ASIR at half BONE technique, measures improved by a factor of 2 over STD FBP even at a quarter of the x-ray dose. Conclusions: The flexibility of ASIR in combination with higher frequency algorithms, such as BONE, provided the greatest accuracy for conventional and low x-ray dose relative to FBP. Veo provided more modest improvement in qCT measures, likely due to its compatibility only with the smoother STD kernel.

  12. Characterization of the nanoDot OSLD dosimeter in CT

    SciTech Connect (OSTI)

    Scarboro, Sarah B.; Cody, Dianna; Followill, David; Court, Laurence; Stingo, Francesco C.; Kry, Stephen F.; Alvarez, Paola; Zhang, Di; McNitt-Gray, Michael

    2015-04-15

    Purpose: The extensive use of computed tomography (CT) in diagnostic procedures is accompanied by a growing need for more accurate and patient-specific dosimetry techniques. Optically stimulated luminescent dosimeters (OSLDs) offer a potential solution for patient-specific CT point-based surface dosimetry by measuring air kerma. The purpose of this work was to characterize the OSLD nanoDot for CT dosimetry, quantifying necessary correction factors, and evaluating the uncertainty of these factors. Methods: A characterization of the Landauer OSL nanoDot (Landauer, Inc., Greenwood, IL) was conducted using both measurements and theoretical approaches in a CT environment. The effects of signal depletion, signal fading, dose linearity, and angular dependence were characterized through direct measurement for CT energies (80140 kV) and delivered doses ranging from ?5 to >1000 mGy. Energy dependence as a function of scan parameters was evaluated using two independent approaches: direct measurement and a theoretical approach based on Burlin cavity theory and Monte Carlo simulated spectra. This beam-quality dependence was evaluated for a range of CT scanning parameters. Results: Correction factors for the dosimeter response in terms of signal fading, dose linearity, and angular dependence were found to be small for most measurement conditions (<3%). The relative uncertainty was determined for each factor and reported at the two-sigma level. Differences in irradiation geometry (rotational versus static) resulted in a difference in dosimeter signal of 3% on average. Beam quality varied with scan parameters and necessitated the largest correction factor, ranging from 0.80 to 1.15 relative to a calibration performed in air using a 120 kV beam. Good agreement was found between the theoretical and measurement approaches. Conclusions: Correction factors for the measurement of air kerma were generally small for CT dosimetry, although angular effects, and particularly effects due to changes in beam quality, could be more substantial. In particular, it would likely be necessary to account for variations in CT scan parameters and measurement location when performing CT dosimetry using OSLD.

  13. Realistic simulation of reduced-dose CT with noise modeling and sinogram synthesis using DICOM CT images

    SciTech Connect (OSTI)

    Won Kim, Chang; Kim, Jong Hyo

    2014-01-15

    Purpose: Reducing the patient dose while maintaining the diagnostic image quality during CT exams is the subject of a growing number of studies, in which simulations of reduced-dose CT with patient data have been used as an effective technique when exploring the potential of various dose reduction techniques. Difficulties in accessing raw sinogram data, however, have restricted the use of this technique to a limited number of institutions. Here, we present a novel reduced-dose CT simulation technique which provides realistic low-dose images without the requirement of raw sinogram data. Methods: Two key characteristics of CT systems, the noise equivalent quanta (NEQ) and the algorithmic modulation transfer function (MTF), were measured for various combinations of object attenuation and tube currents by analyzing the noise power spectrum (NPS) of CT images obtained with a set of phantoms. Those measurements were used to develop a comprehensive CT noise model covering the reduced x-ray photon flux, object attenuation, system noise, and bow-tie filter, which was then employed to generate a simulated noise sinogram for the reduced-dose condition with the use of a synthetic sinogram generated from a reference CT image. The simulated noise sinogram was filtered with the algorithmic MTF and back-projected to create a noise CT image, which was then added to the reference CT image, finally providing a simulated reduced-dose CT image. The simulation performance was evaluated in terms of the degree of NPS similarity, the noise magnitude, the bow-tie filter effect, and the streak noise pattern at photon starvation sites with the set of phantom images. Results: The simulation results showed good agreement with actual low-dose CT images in terms of their visual appearance and in a quantitative evaluation test. The magnitude and shape of the NPS curves of the simulated low-dose images agreed well with those of real low-dose images, showing discrepancies of less than +/?3.2% in terms of the noise power at the peak height and +/?1.2% in terms of the spatial frequency at the peak height. The magnitudes of the noise measured for 12 different combinations the phantom size, tube current, and reconstruction kernel for the simulated and real low-dose images were very similar, with differences of 0.1 to 4.7%. Thep value for a statistical testing of the difference in the noise magnitude ranged from 0.99 to 0.11, showing that there was no difference statistically between the noise magnitudes of the real and simulated low-dose images using our method. The strength and pattern of the streak noise in an anthropomorphic phantom was also consistent with expectations. Conclusions: A novel reduced-dose CT simulation technique was developed which uses only CT images while not requiring raw sinogram data. Our method can provide realistic simulation results under reduced-dose conditions both in terms of the noise magnitude and the textual appearance. This technique has the potential to promote clinical research for patient dose reductions.

  14. Advanced Li-Ion Polymer Battery Cell Manufacturing Plant in USA |

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

    Department of Energy Li-Ion Polymer Battery Cell Manufacturing Plant in USA Advanced Li-Ion Polymer Battery Cell Manufacturing Plant in USA 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting PDF icon arravt001_es_koo_2012_p.pdf More Documents & Publications Advanced Li-Ion Polymer Battery Cell Manufacturing Plant in USA Li-Ion Battery Cell Manufacturing 2010 DOE, Li-Ion Battery Cell Manufacturing

  15. Reply Comments of T-Mobile USA, Inc. | Department of Energy

    Energy Savers [EERE]

    T-Mobile USA, Inc. Reply Comments of T-Mobile USA, Inc. T-Mobile USA, Inc. ("T-Mobile") hereby submits these reply comments in response to the above-captioned Request for Information ("RFI")1 issued by the Department of Energy ("DOE"). T-Mobile appreciates the opportunity to submit reply comments and commends the DOE for undertaking a comprehensive examination of the communications requirements necessary to deploy smart grid technology so consumers can experience

  16. Evolution of spatial resolution in breast CT at UC Davis

    SciTech Connect (OSTI)

    Gazi, Peymon M.; Yang, Kai; Burkett, George W.; Aminololama-Shakeri, Shadi; Anthony Seibert, J.; Boone, John M.

    2015-04-15

    Purpose: Dedicated breast computed tomography (bCT) technology for the purpose of breast cancer screening has been a focus of research at UC Davis since the late 1990s. Previous studies have shown that improvement in spatial resolution characteristics of this modality correlates with greater microcalcification detection, a factor considered a potential limitation of bCT. The aim of this study is to improve spatial resolution as characterized by the modulation transfer function (MTF) via changes in the scanner hardware components and operational schema. Methods: Four prototypes of pendant-geometry, cone-beam breast CT scanners were designed and developed spanning three generations of design evolution. To improve the system MTF in each bCT generation, modifications were made to the imaging components (x-ray tube and flat-panel detector), system geometry (source-to-isocenter and detector distance), and image acquisition parameters (technique factors, number of projections, system synchronization scheme, and gantry rotational speed). Results: Characterization of different generations of bCT systems shows these modifications resulted in a 188% improvement of the limiting MTF properties from the first to second generation and an additional 110% from the second to third. The intrinsic resolution degradation in the azimuthal direction observed in the first generation was corrected by changing the acquisition from continuous to pulsed x-ray acquisition. Utilizing a high resolution detector in the third generation, along with modifications made in system geometry and scan protocol, resulted in a 125% improvement in limiting resolution. An additional 39% improvement was obtained by changing the detector binning mode from 2 2 to 1 1. Conclusions: These results underscore the advancement in spatial resolution characteristics of breast CT technology. The combined use of a pulsed x-ray system, higher resolution flat-panel detector and changing the scanner geometry and image acquisition logic resulted in a significant fourfold improvement in MTF.

  17. bectso-ct121 | netl.doe.gov

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

    2 Demonstration of Innovative Applications of Technology for the CT-121 FGD Process - Project Brief [PDF-265KB] Southern Company Services, Newnan, GA PROGRAM PUBLICATIONS Final Reports Demonstration of Innovative Applications of Technology for the CT-121 FGD Process, Final Report (Jan 1997) Volume 1, Executive Summary [PDF-4.6MB] Volume 2, Operation [PDF-32.8MB] Volume 2 Appendices [PDF-6.3MB] Volume 3, Equipment Vol 3a, Materials and Maintenance [PDF-34.6MB] Vol 3b, Instrumentation and Control

  18. Automatic CT simulation optimization for radiation therapy: A general strategy

    SciTech Connect (OSTI)

    Li, Hua Chen, Hsin-Chen; Tan, Jun; Gay, Hiram; Michalski, Jeff M.; Mutic, Sasa; Yu, Lifeng; Anastasio, Mark A.; Low, Daniel A.

    2014-03-15

    Purpose: In radiation therapy, x-ray computed tomography (CT) simulation protocol specifications should be driven by the treatment planning requirements in lieu of duplicating diagnostic CT screening protocols. The purpose of this study was to develop a general strategy that allows for automatically, prospectively, and objectively determining the optimal patient-specific CT simulation protocols based on radiation-therapy goals, namely, maintenance of contouring quality and integrity while minimizing patient CT simulation dose. Methods: The authors proposed a general prediction strategy that provides automatic optimal CT simulation protocol selection as a function of patient size and treatment planning task. The optimal protocol is the one that delivers the minimum dose required to provide a CT simulation scan that yields accurate contours. Accurate treatment plans depend on accurate contours in order to conform the dose to actual tumor and normal organ positions. An image quality index, defined to characterize how simulation scan quality affects contour delineation, was developed and used to benchmark the contouring accuracy and treatment plan quality within the predication strategy. A clinical workflow was developed to select the optimal CT simulation protocols incorporating patient size, target delineation, and radiation dose efficiency. An experimental study using an anthropomorphic pelvis phantom with added-bolus layers was used to demonstrate how the proposed prediction strategy could be implemented and how the optimal CT simulation protocols could be selected for prostate cancer patients based on patient size and treatment planning task. Clinical IMRT prostate treatment plans for seven CT scans with varied image quality indices were separately optimized and compared to verify the trace of target and organ dosimetry coverage. Results: Based on the phantom study, the optimal image quality index for accurate manual prostate contouring was 4.4. The optimal tube potentials for patient sizes of 38, 43, 48, 53, and 58 cm were 120, 140, 140, 140, and 140 kVp, respectively, and the corresponding minimum CTDIvol for achieving the optimal image quality index 4.4 were 9.8, 32.2, 100.9, 241.4, and 274.1 mGy, respectively. For patients with lateral sizes of 43–58 cm, 120-kVp scan protocols yielded up to 165% greater radiation dose relative to 140-kVp protocols, and 140-kVp protocols always yielded a greater image quality index compared to the same dose-level 120-kVp protocols. The trace of target and organ dosimetry coverage and the γ passing rates of seven IMRT dose distribution pairs indicated the feasibility of the proposed image quality index for the predication strategy. Conclusions: A general strategy to predict the optimal CT simulation protocols in a flexible and quantitative way was developed that takes into account patient size, treatment planning task, and radiation dose. The experimental study indicated that the optimal CT simulation protocol and the corresponding radiation dose varied significantly for different patient sizes, contouring accuracy, and radiation treatment planning tasks.

  19. NATIONAL GEODATABASE OF TIDAL STREAM POWER RESOURCE IN USA

    SciTech Connect (OSTI)

    Smith, Brennan T; Neary, Vincent S; Stewart, Kevin M

    2012-01-01

    A geodatabase of tidal constituents is developed to present the regional assessment of tidal stream power resource in the USA. Tidal currents are numerically modeled with the Regional Ocean Modeling System (ROMS) and calibrated with the available measurements of tidal current speeds and water level surfaces. The performance of the numerical model in predicting the tidal currents and water levels is assessed by an independent validation. The geodatabase is published on a public domain via a spatial database engine with interactive tools to select, query and download the data. Regions with the maximum average kinetic power density exceeding 500 W/m2 (corresponding to a current speed of ~1 m/s), total surface area larger than 0.5 km2 and depth greater than 5 m are defined as hotspots and documented. The regional assessment indicates that the state of Alaska (AK) has the largest number of locations with considerably high kinetic power density, followed by, Maine (ME), Washington (WA), Oregon (OR), California (CA), New Hampshire (NH), Massachusetts (MA), New York (NY), New Jersey (NJ), North and South Carolina (NC, SC), Georgia (GA), and Florida (FL).

  20. Prostate CT segmentation method based on nonrigid registration in ultrasound-guided CT-based HDR prostate brachytherapy

    SciTech Connect (OSTI)

    Yang, Xiaofeng Rossi, Peter; Ogunleye, Tomi; Marcus, David M.; Jani, Ashesh B.; Curran, Walter J.; Liu, Tian; Mao, Hui

    2014-11-01

    Purpose: The technological advances in real-time ultrasound image guidance for high-dose-rate (HDR) prostate brachytherapy have placed this treatment modality at the forefront of innovation in cancer radiotherapy. Prostate HDR treatment often involves placing the HDR catheters (needles) into the prostate gland under the transrectal ultrasound (TRUS) guidance, then generating a radiation treatment plan based on CT prostate images, and subsequently delivering high dose of radiation through these catheters. The main challenge for this HDR procedure is to accurately segment the prostate volume in the CT images for the radiation treatment planning. In this study, the authors propose a novel approach that integrates the prostate volume from 3D TRUS images into the treatment planning CT images to provide an accurate prostate delineation for prostate HDR treatment. Methods: The authors approach requires acquisition of 3D TRUS prostate images in the operating room right after the HDR catheters are inserted, which takes 13 min. These TRUS images are used to create prostate contours. The HDR catheters are reconstructed from the intraoperative TRUS and postoperative CT images, and subsequently used as landmarks for the TRUSCT image fusion. After TRUSCT fusion, the TRUS-based prostate volume is deformed to the CT images for treatment planning. This method was first validated with a prostate-phantom study. In addition, a pilot study of ten patients undergoing HDR prostate brachytherapy was conducted to test its clinical feasibility. The accuracy of their approach was assessed through the locations of three implanted fiducial (gold) markers, as well as T2-weighted MR prostate images of patients. Results: For the phantom study, the target registration error (TRE) of gold-markers was 0.41 0.11 mm. For the ten patients, the TRE of gold markers was 1.18 0.26 mm; the prostate volume difference between the authors approach and the MRI-based volume was 7.28% 0.86%, and the prostate volume Dice overlap coefficient was 91.89% 1.19%. Conclusions: The authors have developed a novel approach to improve prostate contour utilizing intraoperative TRUS-based prostate volume in the CT-based prostate HDR treatment planning, demonstrated its clinical feasibility, and validated its accuracy with MRIs. The proposed segmentation method would improve prostate delineations, enable accurate dose planning and treatment delivery, and potentially enhance the treatment outcome of prostate HDR brachytherapy.

  1. Test of 3D CT reconstructions by EM + TV algorithm from undersampled data

    SciTech Connect (OSTI)

    Evseev, Ivan; Ahmann, Francielle; Silva, Hamilton P. da

    2013-05-06

    Computerized tomography (CT) plays an important role in medical imaging for diagnosis and therapy. However, CT imaging is connected with ionization radiation exposure of patients. Therefore, the dose reduction is an essential issue in CT. In 2011, the Expectation Maximization and Total Variation Based Model for CT Reconstruction (EM+TV) was proposed. This method can reconstruct a better image using less CT projections in comparison with the usual filtered back projection (FBP) technique. Thus, it could significantly reduce the overall dose of radiation in CT. This work reports the results of an independent numerical simulation for cone beam CT geometry with alternative virtual phantoms. As in the original report, the 3D CT images of 128 Multiplication-Sign 128 Multiplication-Sign 128 virtual phantoms were reconstructed. It was not possible to implement phantoms with lager dimensions because of the slowness of code execution even by the CORE i7 CPU.

  2. Pieridae Energy (USA) Ltd. FE Dkt. No. 14-179-LNG

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy gives notice of receipt of an application filed on October 24, 2014, by Pieridae Energy (USA) Ltd (Pieridae) requesting long-term, multi-contract authority as further...

  3. U.S. Department of Energy Awards a Contract to USA Repository...

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

    U.S. Department of Energy Awards a Contract to USA Repository Services for Management and Operating Contractor Support for the Yucca Mountain Project October 30, 2008 - 4:14pm ...

  4. Global Economic Effects of USA Biofuel Policy and the Potential Contribution from Advanced Biofuels

    SciTech Connect (OSTI)

    Gbadebo Oladosu; Keith Kline; Paul Leiby; Rocio Uria-Martinez; Maggie Davis; Mark Downing; Laurence Eaton

    2012-01-01

    This study evaluates the global economic effects of the USA renewable fuel standards (RFS2), and the potential contribution from advanced biofuels. Our simulation results imply that these mandates lead to an increase of 0.21 percent in the global gross domestic product (GDP) in 2022, including an increase of 0.8 percent in the USA and 0.02 percent in the rest of the world (ROW); relative to our baseline, no-RFS scenario. The incremental contributions to GDP from advanced biofuels in 2022 are estimated at 0.41 percent and 0.04 percent in the USA and ROW, respectively. Although production costs of advanced biofuels are higher than for conventional biofuels in our model, their economic benefits result from reductions in oil use, and their smaller impacts on food markets compared with conventional biofuels. Thus, the USA advanced biofuels targets are expected to have positive economic benefits.

  5. M.; Weaver, J.N.; Wiedemann, H. (Stanford Univ., CA (USA). Stanford

    Office of Scientific and Technical Information (OSTI)

    the 2 MeV microwave gun for the SSRL 150 MeV linac Borland, M.; Weaver, J.N.; Wiedemann, H. (Stanford Univ., CA (USA). Stanford Synchrotron Radiation Lab.); Green, M.C.; Nelson,...

  6. EXS-16-0009- In the Matter of Alcatel-Lucent USA

    Broader source: Energy.gov [DOE]

    On February 23, 2016, OHA granted an Application for Stay filed by Alcatel-Lucent USA (Alcatel).  Alcatel requested a stay of enforcement of DOE's February 2014 Energy Conservation Standards for...

  7. Overview of Station Analysis Tools Developed in Support of H2USA

    Broader source: Energy.gov [DOE]

    Access the recording and download presentation slides from the Fuel Cell Technologies Office webinar "Overview of Station Analysis Tools Developed in Support of H2USA" held on May 12, 2015.

  8. 2007-2009 USA Emission Solutions for Heavy-Duty Diesel Engines | Department

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

    of Energy -2009 USA Emission Solutions for Heavy-Duty Diesel Engines 2007-2009 USA Emission Solutions for Heavy-Duty Diesel Engines 2002 DEER Conference Presentation: Southwest Research Institute PDF icon 2002_deer_leet.pdf More Documents & Publications Low Emisssions Potential of EGR-SCR-DPF and Advanced Fuel Formulations - A Progress Report State-of-the-Art and Emergin Truck Engine Technologies Variable Charge Motion for 2007-2010 Heavy Duty Diesel Engines

  9. Waste-to-energy: A review of the status and benefits in USA

    SciTech Connect (OSTI)

    Psomopoulos, C.S. Bourka, A.; Themelis, N.J.

    2009-05-15

    The USA has significant experience in the field of municipal solid waste management. The hierarchy of methodologies for dealing with municipal solid wastes consists of recycling and composting, combustion with energy recovery (commonly called waste-to-energy) and landfilling. This paper focuses on waste-to-energy and especially its current status and benefits, with regard to GHG, dioxin and mercury emissions, energy production and land saving, on the basis of experience of operating facilities in USA.

  10. Non-medical Uses of Computed Tomography (CT) and Nuclear Magnetic Resonance

    Office of Scientific and Technical Information (OSTI)

    (NMR) Non-medical Uses of Computed Tomography (CT) and Nuclear Magnetic Resonance (NMR) Resources with Additional Information Computed Tomography (CT) Scanner CT Scanner - Courtesy Stanford University Department of Energy Resources Engineering Computed tomography (CT) and Nuclear Magnetic Resonance (NMR) have been used to resolve industrial problems, for materials characterizations, and to provide non-destructive evaluations for discovering flaws in parts before their use, resulting in

  11. Listeriosis Prevention Knowledge Among Pregnant Women in the USA

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

    Ogunmodede, Folashade; Jones, Jeffery L.; Scheftel, Joni; Kirkland, Elizabeth; Schulkin, Jay; Lynfield, Ruth

    2005-01-01

    Background: Listeriosis is a food-borne disease often associated with ready-to-eat foods. It usually causes mild febrile gastrointestinal illness in immunocompetent persons. In pregnant women, it may cause more severe infection and often crosses the placenta to infect the fetus, resulting in miscarriage, fetal death or neonatal morbidity. Simple precautions during pregnancy can prevent listeriosis. However, many women are unaware of these precautions and listeriosis education is often omitted from prenatal care. Methods: Volunteer pregnant women were recruited to complete a questionnaire to assess their knowledge of listeriosis and its prevention, in two separate studies. One study was a nationalmore » survey of 403 women from throughout the USA, and the other survey was limited to 286 Minnesota residents. Results: In the multi-state survey, 74 of 403 respondents (18%) had some knowledge of listeriosis, compared with 43 of 286 (15%) respondents to the Minnesota survey. The majority of respondents reported hearing about listeriosis from a medical professional. In the multi-state survey, 33% of respondents knew listeriosis could be prevented by not eating delicatessen meats, compared with 17% in the Minnesota survey ( p = 0.01). Similarly, 31% of respondents to the multi-state survey compared with 19% of Minnesota survey respondents knew listeriosis could be prevented by avoiding unpasteurized dairy products (p = 0.05). As for preventive behaviors, 18% of US and 23% of Minnesota respondents reported avoiding delicatessen meats and ready-to-eat foods during pregnancy, whereas 86% and 88%, respectively, avoided unpasteurized dairy products. Conclusions: Most pregnant women have limited knowledge of listeriosis prevention. Even though most respondents avoided eating unpasteurized dairy products, they were unaware of the risk associated with ready-to-eat foods. Improved education of pregnant women regarding the risk and sources of listeriosis in pregnancy is needed.« less

  12. Area balance and strain in an extensional fault system: Strategies for improved oil recovery in fractured chalk, Gilbertown Field, southwestern Alabama. Annual report, March 1996--March 1997

    SciTech Connect (OSTI)

    Pashin, J.C.; Raymond, D.E.; Rindsberg, A.K.; Alabi, G.G.; Groshong, R.H.

    1997-08-01

    Gilbertown Field is the oldest oil field in Alabama and produces oil from chalk of the Upper Cretaceous Selma Group and from sandstone of the Eutaw Formation along the southern margin of the Gilbertown fault system. Most of the field has been in primary recovery since establishment, but production has declined to marginally economic levels. This investigation applies advanced geologic concepts designed to aid implementation of improved recovery programs. The Gilbertown fault system is detached at the base of Jurassic salt. The fault system began forming as a half graben and evolved in to a full graben by the Late Cretaceous. Conventional trapping mechanisms are effective in Eutaw sandstone, whereas oil in Selma chalk is trapped in faults and fault-related fractures. Burial modeling establishes that the subsidence history of the Gilbertown area is typical of extensional basins and includes a major component of sediment loading and compaction. Surface mapping and fracture analysis indicate that faults offset strata as young as Miocene and that joints may be related to regional uplift postdating fault movement. Preliminary balanced structural models of the Gilbertown fault system indicate that synsedimentary growth factors need to be incorporated into the basic equations of area balance to model strain and predict fractures in Selma and Eutaw reservoirs.

  13. DOE - Office of Legacy Management -- Olin Mathieson - CT 0-02

    Office of Legacy Management (LM)

    Olin Mathieson - CT 0-02 FUSRAP Considered Sites Site: OLIN MATHIESON (CT.0-02 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: United Nuclear Corporation CT.0-02-1 Location: New Haven , Connecticut CT.0-02-1 Evaluation Year: 1987 CT.0-02-1 Site Operations: Began fabrication of nuclear reactor fuel elements for AEC circa late-1950s. Later became part of a group forming United Nuclear Corp. and were then licensed by AEC. Performed work for U.S. Navy and

  14. SciThur PM: Imaging 06: Canada's National Computed Tomography (CT) Survey

    SciTech Connect (OSTI)

    Wardlaw, GM; Martel, N; Blackler, W; Asselin, J-F

    2014-08-15

    The value of computed tomography (CT) in medical imaging is reflected in its' increased use and availability since the early 1990's; however, given CT's relatively larger exposures (vs. planar x-ray) greater care must be taken to ensure that CT procedures are optimised in terms of providing the smallest dose possible while maintaining sufficient diagnostic image quality. The development of CT Diagnostic Reference Levels (DRLs) supports this process. DRLs have been suggested/supported by international/national bodies since the early 1990's and widely adopted elsewhere, but not on a national basis in Canada. Essentially, CT DRLs provide guidance on what is considered good practice for common CT exams, but require a representative sample of CT examination data to make any recommendations. Canada's National CT Survey project, in collaboration with provincial/territorial authorities, has collected a large national sample of CT practice data for 7 common examinations (with associated clinical indications) of both adult and pediatric patients. Following completion of data entry into a common database, a survey summary report and recommendations will be made on CT DRLs from this data. It is hoped that these can then be used by local regions to promote CT practice optimisation and support any dose reduction initiatives.

  15. Utilizing a simple CT dosimetry phantom for the comprehension of the operational characteristics of CT AEC systems

    SciTech Connect (OSTI)

    Tsalafoutas, Ioannis A.; Varsamidis, Athanasios; Thalassinou, Stella; Efstathopoulos, Efstathios P.

    2013-11-15

    Purpose: To investigate the utility of the nested polymethylacrylate (PMMA) phantom (which is available in many CT facilities for CTDI measurements), as a tool for the presentation and comparison of the ways that two different CT automatic exposure control (AEC) systems respond to a phantom when various scan parameters and AEC protocols are modified.Methods: By offsetting the two phantom's components (the head phantom and the body ring) half-way along their longitudinal axis, a phantom with three sections of different x-ray attenuation was created. Scan projection radiographs (SPRs) and helical scans of the three-section phantom were performed on a Toshiba Aquilion 64 and a Philips Brilliance 64 CT scanners, with different scan parameter selections [scan direction, pitch factor, slice thickness, and reconstruction interval (ST/RI), AEC protocol, and tube potential used for the SPRs]. The dose length product (DLP) values of each scan were recorded and the tube current (mA) values of the reconstructed CT images were plotted against the respective Z-axis positions on the phantom. Furthermore, measurements of the noise levels at the center of each phantom section were performed to assess the impact of mA modulation on image quality.Results: The mA modulation patterns of the two CT scanners were very dissimilar. The mA variations were more pronounced for Aquilion 64, where changes in any of the aforementioned scan parameters affected both the mA modulations curves and DLP values. However, the noise levels were affected only by changes in pitch, ST/RI, and AEC protocol selections. For Brilliance 64, changes in pitch affected the mA modulation curves but not the DLP values, whereas only AEC protocol and SPR tube potential selection variations affected both the mA modulation curves and DLP values. The noise levels increased for smaller ST/RI, larger weight category AEC protocol, and larger SPR tube potential selection.Conclusions: The nested PMMA dosimetry phantom can be effectively utilized for the comprehension of CT AEC systems performance and the way that different scan conditions affect the mA modulation patterns, DLP values, and image noise. However, in depth analysis of the reasons why these two systems exhibited such different behaviors in response to the same phantom requires further investigation which is beyond the scope of this study.

  16. Upright cone beam CT imaging using the onboard imager

    SciTech Connect (OSTI)

    Fave, Xenia Martin, Rachael; Yang, Jinzhong; Balter, Peter; Court, Laurence; Carvalho, Luis; Pan, Tinsu

    2014-06-15

    Purpose: Many patients could benefit from being treated in an upright position. The objectives of this study were to determine whether cone beam computed tomography (CBCT) could be used to acquire upright images for treatment planning and to demonstrate whether reconstruction of upright images maintained accurate geometry and Hounsfield units (HUs). Methods: A TrueBeam linac was programmed in developer mode to take upright CBCT images. The gantry head was positioned at 0, and the couch was rotated to 270. The x-ray source and detector arms were extended to their lateral positions. The x-ray source and gantry remained stationary as fluoroscopic projections were taken and the couch was rotated from 270 to 90. The x-ray tube current was normalized to deposit the same dose (measured using a calibrated Farmer ion chamber) as that received during a clinical helical CT scan to the center of a cylindrical, polyethylene phantom. To extend the field of view, two couch rotation scans were taken with the detector offset 15 cm superiorly and then 15 cm inferiorly. The images from these two scans were stitched together before reconstruction. Upright reconstructions were compared to reconstructions from simulation CT scans of the same phantoms. Two methods were investigated for correcting the HUs, including direct calibration and mapping the values from a simulation CT. Results: Overall geometry, spatial linearity, and high contrast resolution were maintained in upright reconstructions. Some artifacts were created and HU accuracy was compromised; however, these limitations could be removed by mapping the HUs from a simulation CT to the upright reconstruction for treatment planning. Conclusions: The feasibility of using the TrueBeam linac to take upright CBCT images was demonstrated. This technique is straightforward to implement and could be of enormous benefit to patients with thoracic tumors or those who find a supine position difficult to endure.

  17. ANL CT Reconstruction Algorithm for Utilizing Digital X-ray

    Energy Science and Technology Software Center (OSTI)

    2004-05-01

    Reconstructs X-ray computed tomographic images from large data sets known as 16-bit binary sinograms when using a massively parallelized computer architecture such as a Beowuif cluster by parallelizing the X-ray CT reconstruction routine. The algorithm uses the concept of generation of an image from carefully obtained multiple 1-D or 2-D X-ray projections. The individual projections are filtered using a digital Fast Fourier Transform. The literature refers to this as filtered back projection.

  18. Study of the impacts of regulations affecting the acceptance of Integrated Community Energy Systems: public utility, energy facility siting and municipal franchising regulatory programs in Alabama. Preliminary background report

    SciTech Connect (OSTI)

    Feurer, D.A.; Weaver, C.L.; Gallagher, K.C.; Hejna, D.; Rielley, K.J.

    1980-01-01

    The Alabama legislature has created the Public Service Commission which has general supervisory powers over utilities. The PSC consists of a president and two associates, who are elected to four-year terms. The PSC has no jurisdiction over municipal utilities and, as a result, local governments retain the power to regulate the operation of their municipally-owned utilities. Municipalities also retain their police power over streets and highways within their territory. Public utility regulatory statutes, energy facility siting programs, and municipal franchising authority are examined to identify how they may impact on the ability of an organization, whether or not it be a regulated utility, to construct and operate an ICES.

  19. UCRL-JC- I250 M. Dreicer, USA; A. Aaricrog, Riso National Laboratory,

    Office of Scientific and Technical Information (OSTI)

    ? . UCRL-JC- I250 M. Dreicer, USA; A. Aaricrog, Riso National Laboratory, Radiology and Agroecoiogy, Russia; L. Anspaugh, LLNL, USA; N . P . Arkhipov the RIA "Pripyate," Ukraine; K J. Johansson, University of Agricul fic and Technical Cen This paper was prepared for submittal to the European Commission, M A , WHO International Conference, Vienna, Austria "One Decade After Chernobyl: Summing up the Consequences of the Accide April 8-12, 1996 u64211tVl.O (3.96) ON O f W f S DOCU 2 .

  20. U.S. Department of Energy Awards a Contract to USA Repository Services for

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

    Management and Operating Contractor Support for the Yucca Mountain Project | Department of Energy a Contract to USA Repository Services for Management and Operating Contractor Support for the Yucca Mountain Project U.S. Department of Energy Awards a Contract to USA Repository Services for Management and Operating Contractor Support for the Yucca Mountain Project October 30, 2008 - 4:14pm Addthis Washington, D.C. -- The U.S. Department of Energy (DOE) today awarded a $2.5 billion management

  1. Preliminary Analysis of Modules Deployed at PV-USA for 18-24 Years |

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

    Department of Energy Preliminary Analysis of Modules Deployed at PV-USA for 18-24 Years Preliminary Analysis of Modules Deployed at PV-USA for 18-24 Years Presented at the PV Module Reliability Workshop, February 26 - 27 2013, Golden, Colorado PDF icon pvmrw13_ps1_pvusa_pineda.pdf More Documents & Publications Cost of Capital Developments in High Efficiency Engine Technologies and an Introduction to SwRI's Dedicated EGR Concept Vehicle Technologies Office Merit Review 2014: Trip

  2. SEMI-ANNUAL REPORTS FOR GASFIN DEVELOPMENT USA, LLC - FE DKT. NO. 13-06-LNG

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

    - ORDER 3253 | Department of Energy GASFIN DEVELOPMENT USA, LLC - FE DKT. NO. 13-06-LNG - ORDER 3253 SEMI-ANNUAL REPORTS FOR GASFIN DEVELOPMENT USA, LLC - FE DKT. NO. 13-06-LNG - ORDER 3253 PDF icon April 2013 PDF icon October 2013 PDF icon April 2014 PDF icon October 2014 PDF icon April 2015 PDF icon October 2015 More Documents & Publications SEMI-ANNUAL REPORT - GULF LNG LIQUEFACTION COMPANY, LLC - FE DKT. NO. 12-47-LNG - ORDER 3104 SEMI-ANNUAL REPORTS FOR - EOS LNG - FTA - FE DKT. NO.

  3. SEMI-ANNUAL REPORTS FOR PIERIDAE ENERGY (USA), LTD - DKT. NO. 14-179-LNG -

    Energy Savers [EERE]

    ORDER 3639 | Department of Energy PIERIDAE ENERGY (USA), LTD - DKT. NO. 14-179-LNG - ORDER 3639 SEMI-ANNUAL REPORTS FOR PIERIDAE ENERGY (USA), LTD - DKT. NO. 14-179-LNG - ORDER 3639 PDF icon October 2015 More Documents & Publications SEMI-ANNUAL REPORTS FOR DOMINION COVE POINT, LP - DKt. NO. 11-115-LNG - ORDER 3019 SEMI-ANNUAL REPORTS FOR GULF COAST LNG EXPORT, LLC - FE DKT. NO. 12-05-LNG - ORDER 3163 SEMI-ANNUAL REPORTS FOR DOWNEAST LNG, INC. - FT DKT. NO. 14-172-LNG - ORDER NO. 3600

  4. ORDER 3770: BEAR HEAD LNG CORPORATION and BEAR HEAD LNG (USA), LLC |

    Energy Savers [EERE]

    Department of Energy 3770: BEAR HEAD LNG CORPORATION and BEAR HEAD LNG (USA), LLC ORDER 3770: BEAR HEAD LNG CORPORATION and BEAR HEAD LNG (USA), LLC OPINION AND ORDER GRANTING LONG-TERM, MULTI-CONTRACT AUTHORIZATION TO EXPORT U.S.-SOURCED NATURAL GAS BY PIPELINE TO CANADA FOR LIQUEFACTION AND RE-EXPORT IN THE FORM OF LIQUEFIED NATURAL GAS TO NON-FREE TRADE AGREEMENT COUNTRIES On February 5, 2016, the Energy Department issued an authorization to Bear Head LNG Corporation and Bear Head LNG

  5. Webinar: DOE Analysis Related to H2USA | Department of Energy

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

    DOE Analysis Related to H2USA," originally presented on July 24, 2013. In addition to this text version of the audio, you can access the presentation slides. Sunita Satyapal: [Audio starts mid-sentence] ...companies typically have internal models that cannot be shared publically while the focus of the DOE model is on transparency and accessibility of the analysis as well as the assumption. [Next slide] So if we go to the next slide as a quick overview of H2USA, which many know is being

  6. Ultralow dose computed tomography attenuation correction for pediatric PET CT using adaptive statistical iterative reconstruction

    SciTech Connect (OSTI)

    Brady, Samuel L.; Shulkin, Barry L.

    2015-02-15

    Purpose: To develop ultralow dose computed tomography (CT) attenuation correction (CTAC) acquisition protocols for pediatric positron emission tomography CT (PET CT). Methods: A GE Discovery 690 PET CT hybrid scanner was used to investigate the change to quantitative PET and CT measurements when operated at ultralow doses (1035 mA s). CT quantitation: noise, low-contrast resolution, and CT numbers for 11 tissue substitutes were analyzed in-phantom. CT quantitation was analyzed to a reduction of 90% volume computed tomography dose index (0.39/3.64; mGy) from baseline. To minimize noise infiltration, 100% adaptive statistical iterative reconstruction (ASiR) was used for CT reconstruction. PET images were reconstructed with the lower-dose CTAC iterations and analyzed for: maximum body weight standardized uptake value (SUV{sub bw}) of various diameter targets (range 837 mm), background uniformity, and spatial resolution. Radiation dose and CTAC noise magnitude were compared for 140 patient examinations (76 post-ASiR implementation) to determine relative dose reduction and noise control. Results: CT numbers were constant to within 10% from the nondose reduced CTAC image for 90% dose reduction. No change in SUV{sub bw}, background percent uniformity, or spatial resolution for PET images reconstructed with CTAC protocols was found down to 90% dose reduction. Patient population effective dose analysis demonstrated relative CTAC dose reductions between 62% and 86% (3.2/8.30.9/6.2). Noise magnitude in dose-reduced patient images increased but was not statistically different from predose-reduced patient images. Conclusions: Using ASiR allowed for aggressive reduction in CT dose with no change in PET reconstructed images while maintaining sufficient image quality for colocalization of hybrid CT anatomy and PET radioisotope uptake.

  7. Automated matching and segmentation of lymphoma on serial CT examinations

    SciTech Connect (OSTI)

    Yan Jiayong; Zhao Binsheng; Curran, Sean; Zelenetz, Andrew; Schwartz, Lawrence H.

    2007-01-15

    In patients with lymphoma, identification and quantification of the tumor extent on serial CT examinations is critical for assessing tumor response to therapy. In this paper, we present a computer method to automatically match and segment lymphomas in follow-up CT images. The method requires that target lymph nodes in baseline CT images be known. A fast, approximate alignment technique along the x, y, and axial directions is developed to provide a good initial condition for the subsequent fast free form deformation (FFD) registration of the baseline and the follow-up images. As a result of the registration, the deformed lymph node contours from the baseline images are used to automatically determine internal and external markers for the marker-controlled watershed segmentation performed in the follow-up images. We applied this automated registration and segmentation method retrospectively to 29 lymph nodes in 9 lymphoma patients treated in a clinical trial at our cancer center. A radiologist independently delineated all lymph nodes on all slices in the follow-up images and his manual contours served as the ''gold standard'' for evaluation of the method. Preliminary results showed that 26/29 (89.7%) lymph nodes were correctly matched; i.e., there was a geometrical overlap between the deformed lymph node from the baseline and its corresponding mass in the follow-up images. Of the matched 26 lymph nodes, 22 (84.6%) were successfully segmented; for these 22 lymph nodes, several metrics were calculated to quantify the method's performance. Among them, the average distance and the Hausdorff distance between the contours generated by the computer and those generated by the radiologist were 0.9 mm (stdev. 0.4 mm) and 3.9 mm (stdev. 2.1 mm), respectively.

  8. DOE Zero Energy Ready Home Case Study: BPC Green Builders, Danbury, CT |

    Energy Savers [EERE]

    Department of Energy Danbury, CT DOE Zero Energy Ready Home Case Study: BPC Green Builders, Danbury, CT DOE Zero Energy Ready Home Case Study: BPC Green Builders, Danbury, CT Case study of a DOE Zero Energy Ready home in Danbury, CT, that scored HERS 35 without PV. This 2-story, 1,650-ft2 cabin built by a custom home builder for his own family meets Passive House Standards with 5.5-in. of foil-faced polysiocyanurate foam boards lining the outside walls, R-55 of rigid EPS foam under the slab,

  9. DOE Zero Energy Ready Home Case Study: Brookside Development, Derby, CT |

    Energy Savers [EERE]

    Department of Energy Brookside Development, Derby, CT DOE Zero Energy Ready Home Case Study: Brookside Development, Derby, CT DOE Zero Energy Ready Home Case Study: Brookside Development, Derby, CT Case study of a DOE Zero Energy Ready home in Derby, CT, that achieves a HERS score of 45 without PV or HERS 26 with PV. The production home is one of a development of 7 two-story, 4,000+-ft2 certified homes that have 2x4 walls filled with 1.5 in. closed-cell spray foam, 2-in. fiberglass batt,

  10. Semi-automatic delineation using weighted CT-MRI registered images...

    Office of Scientific and Technical Information (OSTI)

    cancer Citation Details In-Document Search Title: Semi-automatic delineation using weighted CT-MRI registered images for radiotherapy of nasopharyngeal cancer Purpose: ...

  11. AMENDMENT OF SOLICITATION/MODIFICATION OF CONTR.l\CT

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

    CONTR.l\CT 2. AMENDMENT/MODIFICATION NO. j3. EFFECTIVE DATE 179 I see Block l6C 6.1SSUEDBY CODE 100603 Office of River Protection U~S .. Department of Energy Office of River Protection P.O. Box 450 Richland WA 99352 8. NAME AND ADDRESS OF CONTRACTOR (No., street county, State and ZiP Code) WASHINGTON RIVER PROTECTION SOLUTIONS LLC Attn: KAREN VACCA C/0 URS ENERGY & CONSTRUCTION, INC. PO BOX 73 I 720 PARK BLVD BOISE ID 837290073 CODE 806500521 I FACILITY CODE 11. THIS ITEM ONLY APPLIE ,. The

  12. CT Scans of Cores Metadata, Barrow, Alaska 2015

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

    Katie McKnight; Tim Kneafsey; Craig Ulrich

    2015-03-11

    Individual ice cores were collected from Barrow Environmental Observatory in Barrow, Alaska, throughout 2013 and 2014. Cores were drilled along different transects to sample polygonal features (i.e. the trough, center and rim of high, transitional and low center polygons). Most cores were drilled around 1 meter in depth and a few deep cores were drilled around 3 meters in depth. Three-dimensional images of the frozen cores were constructed using a medical X-ray computed tomography (CT) scanner. TIFF files can be uploaded to ImageJ (an open-source imaging software) to examine soil structure and densities within each core.

  13. LG Electronics U.S.A. v. DOE, Stipulation of Voluntary Dismissal

    Broader source: Energy.gov [DOE]

    LG Electronics U.S.A., Inc. v. U.S. Dept. of Energy, Civil Action Number 1:09-cv-02297-JDB - LG voluntarily dismissed its claims against the DOE and agrees to remove the ENERGY STAR labels from various refrigerator-freezers.

  14. Quant-CT: Segmenting and Quantifying Computed Tomography

    Energy Science and Technology Software Center (OSTI)

    2011-10-01

    Quant-CT is currently a plugin to ImageJ, designed as a Java-class that provides control mechanism for the user to choose volumes of interest within porous material, followed by the selection of image subsamples for automated tuning of parameters for filters and classifiers, and finally measurement of material geometry, porosity, and visualization. Denoising is mandatory before any image interpretation, and we implemented a new 3D java code that performs bilateral filtering of data. Segmentation of themore » dense material is essential before any quantifications about geological sample structure, and we invented new schemes to deal with over segmentation when using statistical region merging algorithm to pull out grains that compose imaged material. It make uses of ImageJ API and other standard and thirty-party APIs. Quant-CT conception started in 2011 under Scidac-e sponsor, and details of the first prototype were documented in publications below. While it is used right now for microtomography images, it can potentially be used by anybody with 3D image data obtained by experiment or produced by simulation.« less

  15. Simultaneous CT and SPECT tomography using CZT detectors

    DOE Patents [OSTI]

    Paulus, Michael J. (Knoxville, TN); Sari-Sarraf, Hamed (Lubbock, TX); Simpson, Michael L. (Knoxville, TN); Britton, Jr., Charles L. (Alcoa, TN)

    2002-01-01

    A method for simultaneous transmission x-ray computed tomography (CT) and single photon emission tomography (SPECT) comprises the steps of: injecting a subject with a tracer compound tagged with a .gamma.-ray emitting nuclide; directing an x-ray source toward the subject; rotating the x-ray source around the subject; emitting x-rays during the rotating step; rotating a cadmium zinc telluride (CZT) two-sided detector on an opposite side of the subject from the source; simultaneously detecting the position and energy of each pulsed x-ray and each emitted .gamma.-ray captured by the CZT detector; recording data for each position and each energy of each the captured x-ray and .gamma.-ray; and, creating CT and SPECT images from the recorded data. The transmitted energy levels of the x-rays lower are biased lower than energy levels of the .gamma.-rays. The x-ray source is operated in a continuous mode. The method can be implemented at ambient temperatures.

  16. Site Characterization for CO{sub 2} Storage from Coal-fired Power Facilities in the Black Warrior Basin of Alabama

    SciTech Connect (OSTI)

    Clark, Peter; Pashin, Jack; Carlson, Eric; Goodliffe, Andrew; McIntyre-Redden, Marcella; Mann, Steven; Thompson, Mason

    2012-08-31

    Coal-fired power plants produce large quantities of carbon dioxide. In order to mitigate the greenhouse gas emissions from these power plants, it is necessary to separate and store the carbon dioxide. Saline formations provide a potential sink for carbon dioxide and delineating the capacity of the various known saline formations is a key part of building a storage inventory. As part of this effort, a project was undertaken to access the storage capacity of saline reservoirs in the Black Warrior Basin of Alabama. This basin has been a productive oil and gas reservoir that is well characterized to the west of the two major coal-fired power plants that are north of Birmingham. The saline zones were thought to extend as far east as the Sequatchie Anticline which is just east of the power plants. There is no oil or gas production in the area surrounding the power plants so little is known about the formations in that area. A geologic characterization well was drilled on the Gorgas Power Plant site, which is the farthest west of two power plants in the area. The well was planned to be drilled to approximately 8,000 feet, but drilling was halted at approximately 5,000 feet when a prolific freshwater zone was penetrated. During drilling, a complete set of cores through all of the potential injection zones and the seals above these zones were acquired. A complete set of openhole logs were run along with a vertical seismic profile (VSP). Before drilling started two approximately perpendicular seismic lines were run and later correlated with the VSP. While the zones that were expected were found at approximately the predicted depths, the zones that are typically saline through the reservoir were found to be saturated with a light crude oil. Unfortunately, both the porosity and permeability of these zones were small enough that no meaningful hydrocarbon production would be expected even with carbon dioxide flooding. iv While this part of the basin was found to be unsuitable for carbon dioxide injection, there is still a large storage capacity in the basin to the west of the power plants. It will, however, require pipeline construction to transport the carbon dioxide to the injection sites.

  17. Alabama Offshore-Alabama Natural Gas Plant Processing

    Gasoline and Diesel Fuel Update (EIA)

    2012 2013 2014 View History Natural Gas Processed (Million Cubic Feet) 53,348 53,771 49,474 2012-2014 Total Liquids Extracted (Thousand Barrels) 2,695 2,767 2,519 2012-2014 NGPL Production, Gaseous Equivalent (Million Cubic Feet) 3,978 3,721

  18. Alabama Onshore-Alabama Natural Gas Plant Processing

    Gasoline and Diesel Fuel Update (EIA)

    2011 2012 2013 2014 View History Natural Gas Processed (Million Cubic Feet) 100,491 33,921 35,487 31,116 2011-2014 Total Liquids Extracted (Thousand Barrels) 2,614 2,781 2,620 2012-2014 NGPL Production, Gaseous Equivalent (Million Cubic Feet) 3,132 3,323

  19. Segmentation-free empirical beam hardening correction for CT

    SciTech Connect (OSTI)

    Schller, Sren; Sawall, Stefan; Stannigel, Kai; Hlsbusch, Markus; Ulrici, Johannes; Hell, Erich; Kachelrie, Marc

    2015-02-15

    Purpose: The polychromatic nature of the x-ray beams and their effects on the reconstructed image are often disregarded during standard image reconstruction. This leads to cupping and beam hardening artifacts inside the reconstructed volume. To correct for a general cupping, methods like water precorrection exist. They correct the hardening of the spectrum during the penetration of the measured object only for the major tissue class. In contrast, more complex artifacts like streaks between dense objects need other techniques of correction. If using only the information of one single energy scan, there are two types of corrections. The first one is a physical approach. Thereby, artifacts can be reproduced and corrected within the original reconstruction by using assumptions in a polychromatic forward projector. These assumptions could be the used spectrum, the detector response, the physical attenuation and scatter properties of the intersected materials. A second method is an empirical approach, which does not rely on much prior knowledge. This so-called empirical beam hardening correction (EBHC) and the previously mentioned physical-based technique are both relying on a segmentation of the present tissues inside the patient. The difficulty thereby is that beam hardening by itself, scatter, and other effects, which diminish the image quality also disturb the correct tissue classification and thereby reduce the accuracy of the two known classes of correction techniques. The herein proposed method works similar to the empirical beam hardening correction but does not require a tissue segmentation and therefore shows improvements on image data, which are highly degraded by noise and artifacts. Furthermore, the new algorithm is designed in a way that no additional calibration or parameter fitting is needed. Methods: To overcome the segmentation of tissues, the authors propose a histogram deformation of their primary reconstructed CT image. This step is essential for the proposed algorithm to be segmentation-free (sf). This deformation leads to a nonlinear accentuation of higher CT-values. The original volume and the gray value deformed volume are monochromatically forward projected. The two projection sets are then monomially combined and reconstructed to generate sets of basis volumes which are used for correction. This is done by maximization of the image flatness due to adding additionally a weighted sum of these basis images. sfEBHC is evaluated on polychromatic simulations, phantom measurements, and patient data. The raw data sets were acquired by a dual source spiral CT scanner, a digital volume tomograph, and a dual source micro CT. Different phantom and patient data were used to illustrate the performance and wide range of usability of sfEBHC across different scanning scenarios. The artifact correction capabilities are compared to EBHC. Results: All investigated cases show equal or improved image quality compared to the standard EBHC approach. The artifact correction is capable of correcting beam hardening artifacts for different scan parameters and scan scenarios. Conclusions: sfEBHC generates beam hardening-reduced images and is furthermore capable of dealing with images which are affected by high noise and strong artifacts. The algorithm can be used to recover structures which are hardly visible inside the beam hardening-affected regions.

  20. Investigation of statistical iterative reconstruction for dedicated breast CT

    SciTech Connect (OSTI)

    Makeev, Andrey; Glick, Stephen J.

    2013-08-15

    Purpose: Dedicated breast CT has great potential for improving the detection and diagnosis of breast cancer. Statistical iterative reconstruction (SIR) in dedicated breast CT is a promising alternative to traditional filtered backprojection (FBP). One of the difficulties in using SIR is the presence of free parameters in the algorithm that control the appearance of the resulting image. These parameters require tuning in order to achieve high quality reconstructions. In this study, the authors investigated the penalized maximum likelihood (PML) method with two commonly used types of roughness penalty functions: hyperbolic potential and anisotropic total variation (TV) norm. Reconstructed images were compared with images obtained using standard FBP. Optimal parameters for PML with the hyperbolic prior are reported for the task of detecting microcalcifications embedded in breast tissue.Methods: Computer simulations were used to acquire projections in a half-cone beam geometry. The modeled setup describes a realistic breast CT benchtop system, with an x-ray spectra produced by a point source and an a-Si, CsI:Tl flat-panel detector. A voxelized anthropomorphic breast phantom with 280 ?m microcalcification spheres embedded in it was used to model attenuation properties of the uncompressed woman's breast in a pendant position. The reconstruction of 3D images was performed using the separable paraboloidal surrogates algorithm with ordered subsets. Task performance was assessed with the ideal observer detectability index to determine optimal PML parameters.Results: The authors' findings suggest that there is a preferred range of values of the roughness penalty weight and the edge preservation threshold in the penalized objective function with the hyperbolic potential, which resulted in low noise images with high contrast microcalcifications preserved. In terms of numerical observer detectability index, the PML method with optimal parameters yielded substantially improved performance (by a factor of greater than 10) compared to FBP. The hyperbolic prior was also observed to be superior to the TV norm. A few of the best-performing parameter pairs for the PML method also demonstrated superior performance for various radiation doses. In fact, using PML with certain parameter values results in better images, acquired using 2 mGy dose, than FBP-reconstructed images acquired using 6 mGy dose.Conclusions: A range of optimal free parameters for the PML algorithm with hyperbolic and TV norm-based potentials is presented for the microcalcification detection task, in dedicated breast CT. The reported values can be used as starting values of the free parameters, when SIR techniques are used for image reconstruction. Significant improvement in image quality can be achieved by using PML with optimal combination of parameters, as compared to FBP. Importantly, these results suggest improved detection of microcalcifications can be obtained by using PML with lower radiation dose to the patient, than using FBP with higher dose.

  1. SU-E-J-43: Deformed Planning CT as An Electron Density Substitute for Cone-Beam CT

    SciTech Connect (OSTI)

    Mishra, K; Godley, A

    2014-06-01

    Purpose: To confirm that deforming the planning CT to the daily Cone-Beam CTs (CBCT) can provide suitable electron density for adaptive planning. We quantify the dosimetric difference between plans calculated on deformed planning CTs (DPCT) and daily CT-on-rails images (CTOR). CTOR is used as a test of the method as CTOR already contains accurate electron density to compare against. Methods: Five prostate only IMRT patients, each with five CTOR images, were selected and re-planned on Panther (Prowess Inc.) with a uniform 5 mm PTV expansion, prescribed 78 Gy. The planning CT was deformed to match each CTOR using ABAS (Elekta Inc.). Contours were drawn on the CTOR, and copied to the DPCT. The original treatment plan was copied to both the CTOR and DPCT, keeping the center of the prostate as the isocenter. The plans were then calculated using the collapsed cone heterogeneous dose engine of Prowess and typical DVH planning parameters used to compare them. Results: Each DPCT was visually compared to its CTOR with no differences observed. The agreement of the copied CTOR contours with the DPCT anatomy further demonstrated the deformation accuracy. The plans calculated using CTOR and DPCT were compared. Over the 25 plan pairs, the average difference between them for prostate D100, D98 and D95 were 0.5%, 0.2%, and 0.2%; PTV D98, D95 and mean dose: 0.3%, 0.2% and 0.3%; bladder V70, V60 and mean dose: 1.1%, 0.7%, and 0.2%; and rectum mean dose: 0.3%. (D100 is the dose covering 100% of the target; V70 is the volume of the organ receiving 70 Gy). Conclusion: We observe negligible difference between the dose calculated on the DPCT and the CTOR, implying that deformed planning CTs are a suitable substitute for electron density. The method can now be applied to CBCTs. Research version of Panther provided by Prowess Inc. Research version of ABAS provided by Elekta Inc.

  2. Google Earth locations of USA and seafloor hydrothermal vents with associated rare earth element data

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

    Andrew Fowler

    2016-02-10

    Google Earth .kmz files that contain the locations of geothermal wells and thermal springs in the USA, and seafloor hydrothermal vents that have associated rare earth element data. The file does not contain the actual data, the actual data is available through the GDR website in two tier 3 data sets entitled "Compilation of Rare Earth Element Analyses from US Geothermal Fields and Mid Ocean Ridge (MOR) Hydrothermal Vents" and "Rare earth element content of thermal fluids from Surprise Valley, California"

  3. Issued by Sandia National Laboratories, Albuquerque, New Mexico, USA for the

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

    9-4908 P Issued by Sandia National Laboratories, Albuquerque, New Mexico, USA for the US National Nuclear Security Administration (NNSA) Office of Research & Development for National Security Science & Technology, NA-121. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000. ON THE COVER: Peridynamics simulation of uniaxial pull

  4. Bear Head LNG Corporation and Bear Head LNG (USA), LLC- FE Dkt No. 15-14-NG

    Broader source: Energy.gov [DOE]

    On January 23, 2015, Bear Head LNG Corporation and Bear Head LNG (USA), LLC (together, “Bear Head LNG”), filed an application for long-term, multi-contract authorization to engage in imports from,...

  5. Energy Efficiency is Beautiful! L'Oréal USA Joins Better Plants with Aggressive Energy Efficiency Commitment

    Broader source: Energy.gov [DOE]

    The Department of Energy welcomed L'Oréal USA to the Better Buildings, Better Plants Program (Better Plants) and it is a beautiful partnership. As the nation’s largest cosmetics manufacturer, L...

  6. Alabama Nuclear Profile - All Fuels

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

    total electric power industry, summer capacity and net generation, by energy source, 2010" "Primary energy source","Summer capacity (mw)","Share of State total (percent)","Net generation (thousand mwh)","Share of State total (percent)" "Nuclear","5,043",15.6,"37,941",24.9 "Coal","11,441",35.3,"63,050",41.4 "Hydro and Pumped

  7. Alabama Nuclear Profile - Browns Ferry

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

    Browns Ferry" "Unit","Summer capacity (mw)","Net generation (thousand mwh)","Summer capacity factor (percent)","Type","Commercial operation date","License expiration date" 1,"1,101","8,072",83.7,"BWR","application/vnd.ms-excel","application/vnd.ms-excel"

  8. Alabama Natural Gas Plant Processing

    Gasoline and Diesel Fuel Update (EIA)

    48,232 242,444 230,546 87,269 89,258 80,590 1969-2014 Total Liquids Extracted (Thousand Barrels) 11,667 13,065 12,265 5,309 5,548 5,139 1983-2014 NGPL Production, Gaseous Equivalent (Million Cubic Feet) 17,232 19,059 17,271 7,133 7,675 7,04

  9. Estimates of the Global Indirect Energy-Use Emission Impacts of USA Biofuel Policy

    SciTech Connect (OSTI)

    Oladosu, Gbadebo A

    2012-01-01

    This paper evaluates the indirect energy-use emission implications of increases in the use of biofuels in the USA between 2001 and 2010 as mandates within a dynamic global computable general equilibrium model. The study incorporates explicit markets for biofuels, petroleum and other fossil fuels, and accounts for interactions among all sectors of an 18-region global economy. It considers bilateral trade, as well as the dynamics of capital allocation and investment. Simulation results show that the biofuel mandates in the USA generate an overall reduction in global energy use and emissions over the simulation period from 2001 to 2030. Consequently, the indirect energy-use emission change or emission leakage under the mandate is negative. That is, global emission reductions are larger than the direct emission savings from replacing petroleum with biofuels under the USA RFS2 over the last decade. Under our principal scenario this enhanced the direct emission reduction from biofuels by about 66%. The global change in lifecycle energy-use emissions for this scenario was estimated to be about 93 million tons of CO2e in 2010, 45 million tons of CO2e in 2020, and an increase of 5 million tons of CO2e in 2030, relative to the baseline scenario. Sensitivity results of six alternative scenarios provided additional insights into the pattern of the regional and global effects of biofuel mandates on energy-use emissions.

  10. Area balance and strain in an extensional fault system: Strategies for improved oil recovery in fractured chalk, Gilbertown Field, southwestern Alabama -- Year 2. Annual report, March 1997--March 1998

    SciTech Connect (OSTI)

    Pashin, J.C.; Raymond, D.E.; Rindsberg, A.K.; Alabi, G.G.; Carroll, R.E.

    1998-09-01

    Gilbertown Field is the oldest oil field in Alabama and has produced oil from fractured chalk of the Cretaceous Selma Group and glauconitic sandstone of the Eutaw Formation. Nearly all of Gilbertown Field is still in primary recovery, although waterflooding has been attempted locally. The objective of this project is to analyze the geologic structure and burial history of Mesozoic and Tertiary strata in Gilbertown Field and adjacent areas in order to suggest ways in which oil recovery can be improved. Indeed, the decline of oil production to marginally economic levels in recent years has made this type of analysis timely and practical. Key technical advancements being sought include understanding the relationship of requisite strain to production in Gilbertown reservoirs, incorporation of synsedimentary growth factors into models of area balance, quantification of the relationship between requisite strain and bed curvature, determination of the timing of hydrocarbon generation, and identification of the avenues and mechanisms of fluid transport.

  11. Patient dose estimation from CT scans at the Mexican National Neurology and Neurosurgery Institute

    SciTech Connect (OSTI)

    Alva-Sánchez, Héctor

    2014-11-07

    In the radiology department of the Mexican National Institute of Neurology and Neurosurgery, a dedicated institute in Mexico City, on average 19.3 computed tomography (CT) examinations are performed daily on hospitalized patients for neurological disease diagnosis, control scans and follow-up imaging. The purpose of this work was to estimate the effective dose received by hospitalized patients who underwent a diagnostic CT scan using typical effective dose values for all CT types and to obtain the estimated effective dose distributions received by surgical and non-surgical patients. Effective patient doses were estimated from values per study type reported in the applications guide provided by the scanner manufacturer. This retrospective study included all hospitalized patients who underwent a diagnostic CT scan between 1 January 2011 and 31 December 2012. A total of 8777 CT scans were performed in this two-year period. Simple brain scan was the CT type performed the most (74.3%) followed by contrasted brain scan (6.1%) and head angiotomography (5.7%). The average number of CT scans per patient was 2.83; the average effective dose per patient was 7.9 mSv; the mean estimated radiation dose was significantly higher for surgical (9.1 mSv) than non-surgical patients (6.0 mSv). Three percent of the patients had 10 or more brain CT scans and exceeded the organ radiation dose threshold set by the International Commission on Radiological Protection for deterministic effects of the eye-lens. Although radiation patient doses from CT scans were in general relatively low, 187 patients received a high effective dose (>20 mSv) and 3% might develop cataract from cumulative doses to the eye lens.

  12. Deformable image registration based automatic CT-to-CT contour propagation for head and neck adaptive radiotherapy in the routine clinical setting

    SciTech Connect (OSTI)

    Kumarasiri, Akila Siddiqui, Farzan; Liu, Chang; Yechieli, Raphael; Shah, Mira; Pradhan, Deepak; Zhong, Hualiang; Chetty, Indrin J.; Kim, Jinkoo

    2014-12-15

    Purpose: To evaluate the clinical potential of deformable image registration (DIR)-based automatic propagation of physician-drawn contours from a planning CT to midtreatment CT images for head and neck (H and N) adaptive radiotherapy. Methods: Ten H and N patients, each with a planning CT (CT1) and a subsequent CT (CT2) taken approximately 3–4 week into treatment, were considered retrospectively. Clinically relevant organs and targets were manually delineated by a radiation oncologist on both sets of images. Four commercial DIR algorithms, two B-spline-based and two Demons-based, were used to deform CT1 and the relevant contour sets onto corresponding CT2 images. Agreement of the propagated contours with manually drawn contours on CT2 was visually rated by four radiation oncologists in a scale from 1 to 5, the volume overlap was quantified using Dice coefficients, and a distance analysis was done using center of mass (CoM) displacements and Hausdorff distances (HDs). Performance of these four commercial algorithms was validated using a parameter-optimized Elastix DIR algorithm. Results: All algorithms attained Dice coefficients of >0.85 for organs with clear boundaries and those with volumes >9 cm{sup 3}. Organs with volumes <3 cm{sup 3} and/or those with poorly defined boundaries showed Dice coefficients of ∼0.5–0.6. For the propagation of small organs (<3 cm{sup 3}), the B-spline-based algorithms showed higher mean Dice values (Dice = 0.60) than the Demons-based algorithms (Dice = 0.54). For the gross and planning target volumes, the respective mean Dice coefficients were 0.8 and 0.9. There was no statistically significant difference in the Dice coefficients, CoM, or HD among investigated DIR algorithms. The mean radiation oncologist visual scores of the four algorithms ranged from 3.2 to 3.8, which indicated that the quality of transferred contours was “clinically acceptable with minor modification or major modification in a small number of contours.” Conclusions: Use of DIR-based contour propagation in the routine clinical setting is expected to increase the efficiency of H and N replanning, reducing the amount of time needed for manual target and organ delineations.

  13. QER Public Meeting in Providence, RI & Hartford, CT: New England Regional

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

    Infrastructure Constraints | Department of Energy Providence, RI & Hartford, CT: New England Regional Infrastructure Constraints QER Public Meeting in Providence, RI & Hartford, CT: New England Regional Infrastructure Constraints Meeting Date and Location: April 21, 2014 9:00A.M.. to 1:00 P.M. EST (Providence, RI) - 1:00 P.M. EST to 5:00 P.M. EST (Hartford, CT) Providence: Rhode Island Convention Center, 1 Sabin St., Ballroom B, Providence, RI Hartford: Connecticut Department of

  14. Iterative image-domain decomposition for dual-energy CT

    SciTech Connect (OSTI)

    Niu, Tianye; Dong, Xue; Petrongolo, Michael; Zhu, Lei

    2014-04-15

    Purpose: Dual energy CT (DECT) imaging plays an important role in advanced imaging applications due to its capability of material decomposition. Direct decomposition via matrix inversion suffers from significant degradation of image signal-to-noise ratios, which reduces clinical values of DECT. Existing denoising algorithms achieve suboptimal performance since they suppress image noise either before or after the decomposition and do not fully explore the noise statistical properties of the decomposition process. In this work, the authors propose an iterative image-domain decomposition method for noise suppression in DECT, using the full variance-covariance matrix of the decomposed images. Methods: The proposed algorithm is formulated in the form of least-square estimation with smoothness regularization. Based on the design principles of a best linear unbiased estimator, the authors include the inverse of the estimated variance-covariance matrix of the decomposed images as the penalty weight in the least-square term. The regularization term enforces the image smoothness by calculating the square sum of neighboring pixel value differences. To retain the boundary sharpness of the decomposed images, the authors detect the edges in the CT images before decomposition. These edge pixels have small weights in the calculation of the regularization term. Distinct from the existing denoising algorithms applied on the images before or after decomposition, the method has an iterative process for noise suppression, with decomposition performed in each iteration. The authors implement the proposed algorithm using a standard conjugate gradient algorithm. The method performance is evaluated using an evaluation phantom (Catphan600) and an anthropomorphic head phantom. The results are compared with those generated using direct matrix inversion with no noise suppression, a denoising method applied on the decomposed images, and an existing algorithm with similar formulation as the proposed method but with an edge-preserving regularization term. Results: On the Catphan phantom, the method maintains the same spatial resolution on the decomposed images as that of the CT images before decomposition (8 pairs/cm) while significantly reducing their noise standard deviation. Compared to that obtained by the direct matrix inversion, the noise standard deviation in the images decomposed by the proposed algorithm is reduced by over 98%. Without considering the noise correlation properties in the formulation, the denoising scheme degrades the spatial resolution to 6 pairs/cm for the same level of noise suppression. Compared to the edge-preserving algorithm, the method achieves better low-contrast detectability. A quantitative study is performed on the contrast-rod slice of Catphan phantom. The proposed method achieves lower electron density measurement error as compared to that by the direct matrix inversion, and significantly reduces the error variation by over 97%. On the head phantom, the method reduces the noise standard deviation of decomposed images by over 97% without blurring the sinus structures. Conclusions: The authors propose an iterative image-domain decomposition method for DECT. The method combines noise suppression and material decomposition into an iterative process and achieves both goals simultaneously. By exploring the full variance-covariance properties of the decomposed images and utilizing the edge predetection, the proposed algorithm shows superior performance on noise suppression with high image spatial resolution and low-contrast detectability.

  15. DOE Zero Energy Ready Home Case Study: BPC Green Builders, Danbury, CT

    Broader source: Energy.gov [DOE]

    Case study of a DOE Zero Energy Ready home in Danbury, CT, that scored HERS 35 without PV. This 2-story, 1,650-ft2 cabin built by a custom home builder for his own family meets Passive House...

  16. Frequency and patterns of abnormality detected by iodine-123 amine emission CT after cerebral infarction

    SciTech Connect (OSTI)

    Brott, T.G.; Gelfand, M.J.; Williams, C.C.; Spilker, J.A.; Hertzberg, V.S.

    1986-03-01

    Single photon emission computed tomography (SPECT) was performed in 31 patients with cerebral infarction and 13 who had had transient ischemic attacks, using iodine-123-labeled N,N,N'-trimethyl-N'-(2-hydroxyl-3-methyl-5-iodobenzyl)-1,3-propanediamin e (I-123-HIPDM) as the radiopharmaceutical. SPECT scans were compared with computed tomographic (CT) scans. SPECT was as sensitive as CT in detecting cerebral infarction (94% vs. 84%). The abnormalities were larger on the SPECT scans than on the CT scans in 19 cases, equal in seven, and smaller in five (SPECT abnormalities greater than or equal to CT abnormalities in 86% of cases). Fifteen of 30 patients with hemispheric infarction had decreased perfusion (decreased uptake of I-123-HIPDM) to the cerebellar hemisphere contralateral to the cerebral hemisphere involved by the infarction (crossed cerebellar diaschisis). Nine of these 15 patients had major motor deficits, while only one of the 15 without crossed cerebellar diaschisis had a major motor deficit.

  17. Low-Dose Spiral CT Scans for Early Lung Cancer Detection

    Broader source: Energy.gov [DOE]

    Low-dose spiral computed tomography (CT) scanning is a noninvasive medical imaging test that has been used for the early detection of lung cancer for over 16 years (Sone et al. 1998; Henschke et.al. 1999).

  18. TH-E-17A-01: Internal Respiratory Surrogate for 4D CT Using Fourier...

    Office of Scientific and Technical Information (OSTI)

    E-17A-01: Internal Respiratory Surrogate for 4D CT Using Fourier Transform and Anatomical Features Citation Details In-Document Search Title: TH-E-17A-01: Internal Respiratory...

  19. 63,01,1,1,,10,1,"ALABAMA POWER CO","BANKHEAD DM",0,,19500,1293,,,94,26502,0,0,28822,0,0,32683,0,0,28931,0,0,6736,0,0,7563,0,0,13317,0,0,10181,0,0,6601,0,0,8862,0,0,12066,0,0,25204,0,0,0002,7,50022,"WAT","HY"

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

    63,01,1,1,,10,1,"ALABAMA POWER CO","BANKHEAD DM",0,,19500,1293,,,94,26502,0,0,28822,0,0,32683,0,0,28931,0,0,6736,0,0,7563,0,0,13317,0,0,10181,0,0,6601,0,0,8862,0,0,12066,0,0,25204,0,0,0002,7,50022,"WAT","HY" 63,01,1,2,2,10,35,"ALABAMA POWER CO","BARRY",0,"LIGHT

  20. High energy x-ray phase contrast CT using glancing-angle grating interferometers

    SciTech Connect (OSTI)

    Sarapata, A.; Stayman, J. W.; Siewerdsen, J. H.; Finkenthal, M.; Stutman, D.; Pfeiffer, F.

    2014-02-15

    Purpose: The authors present initial progress toward a clinically compatible x-ray phase contrast CT system, using glancing-angle x-ray grating interferometry to provide high contrast soft tissue images at estimated by computer simulation dose levels comparable to conventional absorption based CT. Methods: DPC-CT scans of a joint phantom and of soft tissues were performed in order to answer several important questions from a clinical setup point of view. A comparison between high and low fringe visibility systems is presented. The standard phase stepping method was compared with sliding window interlaced scanning. Using estimated dose values obtained with a Monte-Carlo code the authors studied the dependence of the phase image contrast on exposure time and dose. Results: Using a glancing angle interferometer at high x-ray energy (∼45 keV mean value) in combination with a conventional x-ray tube the authors achieved fringe visibility values of nearly 50%, never reported before. High fringe visibility is shown to be an indispensable parameter for a potential clinical scanner. Sliding window interlaced scanning proved to have higher SNRs and CNRs in a region of interest and to also be a crucial part of a low dose CT system. DPC-CT images of a soft tissue phantom at exposures in the range typical for absorption based CT of musculoskeletal extremities were obtained. Assuming a human knee as the CT target, good soft tissue phase contrast could be obtained at an estimated absorbed dose level around 8 mGy, similar to conventional CT. Conclusions: DPC-CT with glancing-angle interferometers provides improved soft tissue contrast over absorption CT even at clinically compatible dose levels (estimated by a Monte-Carlo computer simulation). Further steps in image processing, data reconstruction, and spectral matching could make the technique fully clinically compatible. Nevertheless, due to its increased scan time and complexity the technique should be thought of not as replacing, but as complimentary to conventional CT, to be used in specific applications.

  1. Objective assessment of image quality and dose reduction in CT iterative reconstruction

    SciTech Connect (OSTI)

    Vaishnav, J. Y. Jung, W. C.; Popescu, L. M.; Zeng, R.; Myers, K. J.

    2014-07-15

    Purpose: Iterative reconstruction (IR) algorithms have the potential to reduce radiation dose in CT diagnostic imaging. As these algorithms become available on the market, a standardizable method of quantifying the dose reduction that a particular IR method can achieve would be valuable. Such a method would assist manufacturers in making promotional claims about dose reduction, buyers in comparing different devices, physicists in independently validating the claims, and the United States Food and Drug Administration in regulating the labeling of CT devices. However, the nonlinear nature of commercially available IR algorithms poses challenges to objectively assessing image quality, a necessary step in establishing the amount of dose reduction that a given IR algorithm can achieve without compromising that image quality. This review paper seeks to consolidate information relevant to objectively assessing the quality of CT IR images, and thereby measuring the level of dose reduction that a given IR algorithm can achieve. Methods: The authors discuss task-based methods for assessing the quality of CT IR images and evaluating dose reduction. Results: The authors explain and review recent literature on signal detection and localization tasks in CT IR image quality assessment, the design of an appropriate phantom for these tasks, possible choices of observers (including human and model observers), and methods of evaluating observer performance. Conclusions: Standardizing the measurement of dose reduction is a problem of broad interest to the CT community and to public health. A necessary step in the process is the objective assessment of CT image quality, for which various task-based methods may be suitable. This paper attempts to consolidate recent literature that is relevant to the development and implementation of task-based methods for the assessment of CT IR image quality.

  2. The effects of mapping CT images to Monte Carlo materials on GEANT4 proton simulation accuracy

    SciTech Connect (OSTI)

    Barnes, Samuel; McAuley, Grant; Slater, James; Wroe, Andrew

    2013-04-15

    Purpose: Monte Carlo simulations of radiation therapy require conversion from Hounsfield units (HU) in CT images to an exact tissue composition and density. The number of discrete densities (or density bins) used in this mapping affects the simulation accuracy, execution time, and memory usage in GEANT4 and other Monte Carlo code. The relationship between the number of density bins and CT noise was examined in general for all simulations that use HU conversion to density. Additionally, the effect of this on simulation accuracy was examined for proton radiation. Methods: Relative uncertainty from CT noise was compared with uncertainty from density binning to determine an upper limit on the number of density bins required in the presence of CT noise. Error propagation analysis was also performed on continuously slowing down approximation range calculations to determine the proton range uncertainty caused by density binning. These results were verified with Monte Carlo simulations. Results: In the presence of even modest CT noise (5 HU or 0.5%) 450 density bins were found to only cause a 5% increase in the density uncertainty (i.e., 95% of density uncertainty from CT noise, 5% from binning). Larger numbers of density bins are not required as CT noise will prevent increased density accuracy; this applies across all types of Monte Carlo simulations. Examining uncertainty in proton range, only 127 density bins are required for a proton range error of <0.1 mm in most tissue and <0.5 mm in low density tissue (e.g., lung). Conclusions: By considering CT noise and actual range uncertainty, the number of required density bins can be restricted to a very modest 127 depending on the application. Reducing the number of density bins provides large memory and execution time savings in GEANT4 and other Monte Carlo packages.

  3. Semi-automatic delineation using weighted CT-MRI registered images for

    Office of Scientific and Technical Information (OSTI)

    radiotherapy of nasopharyngeal cancer (Journal Article) | SciTech Connect Semi-automatic delineation using weighted CT-MRI registered images for radiotherapy of nasopharyngeal cancer Citation Details In-Document Search Title: Semi-automatic delineation using weighted CT-MRI registered images for radiotherapy of nasopharyngeal cancer Purpose: To develop a delineation tool that refines physician-drawn contours of the gross tumor volume (GTV) in nasopharynx cancer, using combined pixel value

  4. Overview of Station Analysis Tools Developed in Support of H2USA

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

    5/12/2015 U.S. DEPARTMENT OF ENERGY FUEL CELL TECHNOLOGIES OFFICE Overview of Station Analysis Tools Developed in Support of H2USA Presenter(s): Amgad Elgowainy, PhD Marc Melaina, PhD 5/12/2015 Fuel Cell Technologies Office | 2 5/12/2015 Question and Answer * Please type your questions into the question box hydrogenandfuelcells.energy.gov Fuel Cell Technologies Office | 3 5/12/2015 * Welcome and House Keeping - 5 minutes * Hydrogen Refueling Station Analysis Model (HRSAM) - 20 minutes - Amgad

  5. WM2015 Conference, March, 15-19, 2015, Phoenix, Arizona, USA

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

    March, 15-19, 2015, Phoenix, Arizona, USA † Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000. This research is funded by WIPP programs administered by the Office of Environmental Management (EM) of the U.S Department of Energy. Impacts of an Additional Exhaust Shaft on WIPP

  6. Determination of CT number and density profile of binderless, pre-treated and tannin-based Rhizophora spp. particleboards using computed tomography imaging and electron density phantom

    SciTech Connect (OSTI)

    Yusof, Mohd Fahmi Mohd Hamid, Puteri Nor Khatijah Abdul; Tajuddin, Abdul Aziz; Bauk, Sabar; Hashim, Rokiah

    2015-04-29

    Plug density phantoms were constructed in accordance to CT density phantom model 062M CIRS using binderless, pre-treated and tannin-based Rhizophora Spp. particleboards. The Rhizophora Spp. plug phantoms were scanned along with the CT density phantom using Siemens Somatom Definition AS CT scanner at three CT energies of 80, 120 and 140 kVp. 15 slices of images with 1.0?mm thickness each were taken from the central axis of CT density phantom for CT number and CT density profile analysis. The values were compared to water substitute plug phantom from the CT density phantom. The tannin-based Rhizophora Spp. gave the nearest value of CT number to water substitute at 80 and 120 kVp CT energies with ?{sup 2} value of 0.011 and 0.014 respectively while the binderless Rhizphora Spp. gave the nearest CT number to water substitute at 140 kVp CT energy with ?{sup 2} value of 0.023. The tannin-based Rhizophora Spp. gave the nearest CT density profile to water substitute at all CT energies. This study indicated the suitability of Rhizophora Spp. particleboard as phantom material for the use in CT imaging studies.

  7. USA National Phenology Network: Plant and Animal Life-Cycle Data Related to Climate Change

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

    Phenology refers to recurring plant and animal life cycle stages, such as leafing and flowering, maturation of agricultural plants, emergence of insects, and migration of birds. It is also the study of these recurring plant and animal life cycle stages, especially their timing and relationships with weather and climate. Phenology affects nearly all aspects of the environment, including the abundance and diversity of organisms, their interactions with one another, their functions in food webs, and their seasonable behavior, and global-scale cycles of water, carbon, and other chemical elements. Phenology records can help us understand plant and animal responses to climate change; it is a key indicator. The USA-NPN brings together citizen scientists, government agencies, non-profit groups, educators, and students of all ages to monitor the impacts of climate change on plants and animals in the United States. The network harnesses the power of people and the Internet to collect and share information, providing researchers with far more data than they could collect alone.[Extracts copied from the USA-NPN home page and from http://www.usanpn.org/about].

  8. Switchgrass Cultivar/Ecotype Selection and Management for Biofuels in the Upper Southeast USA

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

    Lemus, Rocky; Parrish, David J.; Wolf, Dale D.

    2014-01-01

    Switchgrass ( Panicum virgatum L.), a perennial warm-season grass indigenous to the eastern USA, has potential as a biofuels feedstock. The objective of this study was to investigate the performance of upland and lowland switchgrass cultivars under different environments and management treatments. Four cultivars of switchgrass were evaluated from 2000 to 2001 under two management regimes in plots established in 1992 at eight locations in the upper southeastern USA. Two management treatments included 1) a single annual harvest (in late October to early November) and a single application of 50 kg N/ha/yr and 2) two annual harvests (in midsummer andmore » November) and a split application of 100 kg N/ha/yr. Biomass yields averaged 15 Mg/ha/yr and ranged from 10 to 22 Mg/ha/yr across cultivars, managements, locations, and years. There was no yield advantage in taking two harvests of the lowland cultivars (Alamo and Kanlow). When harvested twice, upland cultivars (Cave-in-Rock and Shelter) provided yields equivalent to the lowland ecotypes. Tiller density was 36% lower in stands cutting only once per year, but the stands appeared vigorous after nine years of such management. Lowland cultivars and a one-cutting management (after the tops have senesced) using low rates of applied N (50 kg/ha) are recommended.« less

  9. MO-E-17A-03: Monte Carlo CT Dose Calculation: A Comparison Between Experiment and Simulation Using ARCHER-CT

    SciTech Connect (OSTI)

    Liu, T; Du, X; Su, L; Gao, Y; Ji, W; Xu, X; Zhang, D; Shi, J; Liu, B; Kalra, M

    2014-06-15

    Purpose: To compare the CT doses derived from the experiments and GPU-based Monte Carlo (MC) simulations, using a human cadaver and ATOM phantom. Methods: The cadaver of an 88-year old male and the ATOM phantom were scanned by a GE LightSpeed Pro 16 MDCT. For the cadaver study, the Thimble chambers (Model 105?0.6CT and 106?0.6CT) were used to measure the absorbed dose in different deep and superficial organs. Whole-body scans were first performed to construct a complete image database for MC simulations. Abdomen/pelvis helical scans were then conducted using 120/100 kVps, 300 mAs and a pitch factor of 1.375:1. For the ATOM phantom study, the OSL dosimeters were used and helical scans were performed using 120 kVp and x, y, z tube current modulation (TCM). For the MC simulations, sufficient particles were run in both cases such that the statistical errors of the results by ARCHER-CT were limited to 1%. Results: For the human cadaver scan, the doses to the stomach, liver, colon, left kidney, pancreas and urinary bladder were compared. The difference between experiments and simulations was within 19% for the 120 kVp and 25% for the 100 kVp. For the ATOM phantom scan, the doses to the lung, thyroid, esophagus, heart, stomach, liver, spleen, kidneys and thymus were compared. The difference was 39.2% for the esophagus, and within 16% for all other organs. Conclusion: In this study the experimental and simulated CT doses were compared. Their difference is primarily attributed to the systematic errors of the MC simulations, including the accuracy of the bowtie filter modeling, and the algorithm to generate voxelized phantom from DICOM images. The experimental error is considered small and may arise from the dosimeters. R01 grant (R01EB015478) from National Institute of Biomedical Imaging and Bioengineering.

  10. Comparison of Daytime and Nighttime Populations Adjacent to Interstate Highways in Metropolitan Areas Using LandScan USA

    SciTech Connect (OSTI)

    Johnson, Paul E

    2007-01-01

    An article of similar title was published in the International Journal of Radioactive Materials Transport in 1999. The study concluded that the daytime and nighttime populations are not substantially different for the metropolitan areas examined. This study revisits the issue, but using the LandScan USA high resolution population distribution data, which includes daytime and night-time population. Segments of Interstate highway beltways, along with the direct route through the city, for Atlanta, St. Louis, and Kansas City are examined with an 800m buffer from either side of the highways. The day/night ratio of population is higher using the LandScan USA data. LandScan USA daytime and night-time data will be incorporated into the TRAGIS routing model in future.

  11. Improved Oil Recovery from Upper Jurassic Smackover Carbonates through the Application of Advanced Technologies at Womack Hill Oil Field, Choctaw and Clarke Counties, Alabama, Eastern Gulf Coastal Plan (Phase II)

    SciTech Connect (OSTI)

    Ernest A. Mancini; Joe Benson; David Hilton; David Cate; Lewis Brown

    2006-05-29

    The principal research efforts for Phase II of the project were drilling an infill well strategically located in Section 13, T. 10 N., R. 2 W., of the Womack Hill Field, Choctaw and Clarke Counties, Alabama, and obtaining fresh core from the upper Smackover reservoir to test the feasibility of implementing an immobilized enzyme technology project in this field. The Turner Land and Timber Company 13-10 No. 1 well was successfully drilled and tested at a daily rate of 132 barrels of oil in Section 13. The well has produced 27,720 barrels of oil, and is currently producing at a rate of 60 barrels of oil per day. The 13-10 well confirmed the presence of 175,000 barrels of attic (undrained) oil in Section 13. As predicted from reservoir characterization, modeling and simulation, the top of the Smackover reservoir in the 13-10 well is structurally high to the tops of the Smackover in offsetting wells, and the 13-10 well has significantly more net pay than the offsetting wells. The drilling and testing of the 13-10 well showed that the eastern part of the field continues to have a strong water drive and that there is no need to implement a pressure maintenance program in this part of the Womack Hill Field at this time. The success achieved in drilling and testing the 13-10 infill well demonstrates the benefits of building a geologic model to target areas in mature fields that have the potential to contain undrained oil, thus increasing the productivity and profitability of these fields. Microbial cultures that grew at 90 C and converted ethanol to acid were recovered from fresh cuttings from the Smackover carbonate reservoir in an analogous field to the Womack Hill Field in southwest Alabama; however, no viable microorganisms were found in the Smackover cores recovered from the drilling of the 13-10 well in Womack Hill Field. Further evaluation is, therefore, required prior to implementing an immobilized enzyme technology project in the Womack Hill Field.

  12. Risk Assessment of Geologic Formation Sequestration in The Rocky Mountain Region, USA

    SciTech Connect (OSTI)

    Lee, Si-Yong; McPherson, Brian

    2013-08-01

    The purpose of this report is to describe the outcome of a targeted risk assessment of a candidate geologic sequestration site in the Rocky Mountain region of the USA. Specifically, a major goal of the probabilistic risk assessment was to quantify the possible spatiotemporal responses for Area of Review (AoR) and injection-induced pressure buildup associated with carbon dioxide (CO?) injection into the subsurface. Because of the computational expense of a conventional Monte Carlo approach, especially given the likely uncertainties in model parameters, we applied a response surface method for probabilistic risk assessment of geologic CO? storage in the Permo-Penn Weber formation at a potential CCS site in Craig, Colorado. A site-specific aquifer model was built for the numerical simulation based on a regional geologic model.

  13. Bowtie filters for dedicated breast CT: Theory and computational implementation

    SciTech Connect (OSTI)

    Kontson, Kimberly Jennings, Robert J.

    2015-03-15

    Purpose: To design bowtie filters with improved properties for dedicated breast CT to improve image quality and reduce dose to the patient. Methods: The authors present three different bowtie filters designed for a cylindrical 14-cm diameter phantom with a uniform composition of 40/60 breast tissue, which vary in their design objectives and performance improvements. Bowtie design #1 is based on single material spectral matching and produces nearly uniform spectral shape for radiation incident upon the detector. Bowtie design #2 uses the idea of basis material decomposition to produce the same spectral shape and intensity at the detector, using two different materials. Bowtie design #3 eliminates the beam hardening effect in the reconstructed image by adjusting the bowtie filter thickness so that the effective attenuation coefficient for every ray is the same. All three designs are obtained using analytical computational methods and linear attenuation coefficients. Thus, the designs do not take into account the effects of scatter. The authors considered this to be a reasonable approach to the filter design problem since the use of Monte Carlo methods would have been computationally intensive. The filter profiles for a cone-angle of 0° were used for the entire length of each filter because the differences between those profiles and the correct cone-beam profiles for the cone angles in our system are very small, and the constant profiles allowed construction of the filters with the facilities available to us. For evaluation of the filters, we used Monte Carlo simulation techniques and the full cone-beam geometry. Images were generated with and without each bowtie filter to analyze the effect on dose distribution, noise uniformity, and contrast-to-noise ratio (CNR) homogeneity. Line profiles through the reconstructed images generated from the simulated projection images were also used as validation for the filter designs. Results: Examples of the three designs are presented. Initial verification of performance of the designs was done using analytical computations of HVL, intensity, and effective attenuation coefficient behind the phantom as a function of fan-angle with a cone-angle of 0°. The performance of the designs depends only weakly on incident spectrum and tissue composition. For all designs, the dynamic range requirement on the detector was reduced compared to the no-bowtie-filter case. Further verification of the filter designs was achieved through analysis of reconstructed images from simulations. Simulation data also showed that the use of our bowtie filters can reduce peripheral dose to the breast by 61% and provide uniform noise and CNR distributions. The bowtie filter design concepts validated in this work were then used to create a computational realization of a 3D anthropomorphic bowtie filter capable of achieving a constant effective attenuation coefficient behind the entire field-of-view of an anthropomorphic breast phantom. Conclusions: Three different bowtie filter designs that vary in performance improvements were described and evaluated using computational and simulation techniques. Results indicate that the designs are robust against variations in breast diameter, breast composition, and tube voltage, and that the use of these filters can reduce patient dose and improve image quality compared to the no-bowtie-filter case.

  14. Technical Note: Measurement of bow tie profiles in CT scanners using radiochromic film

    SciTech Connect (OSTI)

    Whiting, Bruce R.; Dohatcu, Andreea C.; Evans, Joshua D.; Williamson, Jeffrey F.; Politte, David G.

    2015-06-15

    Purpose: To provide a noninvasive technique to measure the intensity profile of the fan beam in a computed tomography (CT) scanner that is cost effective and easily implemented without the need to access proprietary scanner information or service modes. Methods: The fabrication of an inexpensive aperture is described, which is used to expose radiochromic film in a rotating CT gantry. A series of exposures is made, each of which is digitized on a personal computer document scanner, and the resulting data set is analyzed to produce a self-consistent calibration of relative radiation exposure. The bow tie profiles were analyzed to determine the precision of the process and were compared to two other measurement techniques, direct measurements from CT gantry detectors and a dynamic dosimeter. Results: The radiochromic film method presented here can measure radiation exposures with a precision of ?6% root-mean-square relative error. The intensity profiles have a maximum 25% root-mean-square relative error compared with existing techniques. Conclusions: The proposed radiochromic film method for measuring bow tie profiles is an inexpensive (?$100 USD + film costs), noninvasive method to measure the fan beam intensity profile in CT scanners.

  15. DOE Zero Energy Ready Home Case Study: Brookside Development, Derby, CT

    Broader source: Energy.gov [DOE]

    Case study of a DOE Zero Energy Ready home in Derby, CT, that achieves a HERS score of 45 without PV or HERS 26 with PV. The production home is one of a development of 7 two-story, 4,000+-ft2...

  16. The feasibility of head motion tracking in helical CT: A step toward motion correction

    SciTech Connect (OSTI)

    Kim, Jung-Ha; Nuyts, Johan; Kuncic, Zdenka; Fulton, Roger

    2013-04-15

    Purpose: To establish a practical and accurate motion tracking method for the development of rigid motion correction methods in helical x-ray computed tomography (CT). Methods: A commercially available optical motion tracking system provided 6 degrees of freedom pose measurements at 60 Hz. A 4 Multiplication-Sign 4 calibration matrix was determined to convert raw pose data acquired in tracker coordinates to a fixed CT coordinate system with origin at the isocenter of the scanner. Two calibration methods, absolute orientation (AO), and a new method based on image registration (IR), were compared by means of landmark analysis and correlation coefficient in phantom images coregistered using the derived motion transformations. Results: Transformations calculated using the IR-derived calibration matrix were found to be more accurate, with positional errors less than 0.5 mm (mean RMS), and highly correlated image voxel intensities. The AO-derived calibration matrix yielded larger mean RMS positional errors ( Asymptotically-Equal-To 1.0 mm), and poorer correlation coefficients. Conclusions: The authors have demonstrated the feasibility of accurate motion tracking for retrospective motion correction in helical CT. Their new IR-based calibration method based on image registration and function minimization was simpler to perform and delivered more accurate calibration matrices. This technique is a useful tool for future work on rigid motion correction in helical CT and potentially also other imaging modalities.

  17. TU-F-18C-07: Hardware Advances for MTF Improvement in Dedicated Breast CT

    SciTech Connect (OSTI)

    Gazi, P; Burkett, G; Yang, K; Boone, J

    2014-06-15

    Purpose: In this study, we have designed and implemented a prototype dedicated breast CT system (bCT) to improve the spatial resolution characteristics, in order to improve detection of micro-calcifications. Methods: A 10.8 kW water-cooled, tungsten anode x-ray tube, running up to 240 mA at 60 kV, coupled with an x-ray generator specifically designed for this application, and 0.3 mm of added copper filter was used to generate x-ray pulses. A CsI CMOS flat panel detector with a pixel pitch of 0.075 mm in native binning mode was used. The system geometry was designed in a way to achieve an FOV on par with similar bCT prototypes, resulting in a magnification factor of 1.39. A 0.013 mm tungsten wire was used to generate point spread functions. Multiple scans were performed with different numbers of projections, different reconstruction kernel sizes and different reconstruction filters to study the effects of each parameter on MTF. The resulting MTFs were then evaluated quantitatively using the generated PFSs. Duplicate scans with the same parameters were performed on two other dedicated breast CT systems to compare the performance of the new prototype. Results: The results of the MTF experiments demonstrate a significant improvement in the spatial resolution characteristics. In the new prototype, using the pulsed x-ray source results in a restoration of the azimuthal MTF degradation, due to motion blurring previously seen in other bCT systems. Moreover, employing the higher resolution x-ray detector considerably improves the MTF. The MTF at 10% of the new system is at 3.5 1/mm, a factor of 4.36 greater than an earlier bCT scanner. Conclusion: The MTF analysis of the new prototype bCT shows that using the new hardware and control results in a significant improvement in visualization of finer detail. This suggests that the visualization of micro-calcifications will be significantly improved.

  18. SU-E-I-58: Detecting Tumors with Extremely Low Contrast in CT Images

    SciTech Connect (OSTI)

    Sheng, K; Gou, S; Kupelian, P; Steiberg, M; Low, D

    2014-06-01

    Purpose: Tumors such as the prostate focal lesions and the brain metastases have extremely low CT contrast and MRI is usually used for target delineation. The target contours are propagated to the CT for treatment planning and patient positioning. We have employed an advanced denoising method eliminating the noise and allow magnification of subtle contrast of these focal lesions on CT. Methods: Five prostate and two brain metastasis patients with MRI T2, diffusion or dynamic contrast enhanced (DCE) images confirmed focal lesions were included. One brain patients had 5 metastases. A block matching 3D (BM3D) algorithm was adapted to reduce the noise of kVCT images used for treatment planning. The gray-level range of the resultant images was narrowed to magnify the tumor-normal tissue contrast. Results: For the prostate patients, denoised kVCT images showed focal regions at 5, 8,11-1, 2, and 8–10 oclock for the 5 patients, this is highly consistent to the radiologist confirmed focal lesions based on MRI at 5, 7, 11-1, 2 and 8–10 oclock in the axial plane. These CT focal regions matched well with the MRI focal lesions in the cranio-caudal position. The average increase in density compared to background prostate glands was 0.86%, which corresponds to ∼50% increase in cellularity and is lower than the average CT noise level of 2.4%. For the brain patients, denoised kVCT showed 5/6 metastases. The high CT-density region of a metastasis is 2-mm off from its corresponding elevated MRI perfusion center. Overall the detecting sensitivity was 91%. Conclusion: It has been preliminarily demonstrated that the higher tumor cellularity can be detected using kVCT. The low contrast-to-noise information requires advanced denoising to reveal. The finding is significant to radiotherapy by providing an additional tool to locate focal lesions for confirming MRI-CT registration and providing a highly accessible outcome assessment tool.

  19. Statistical model based iterative reconstruction (MBIR) in clinical CT systems: Experimental assessment of noise performance

    SciTech Connect (OSTI)

    Li, Ke; Tang, Jie; Chen, Guang-Hong

    2014-04-15

    Purpose: To reduce radiation dose in CT imaging, the statistical model based iterative reconstruction (MBIR) method has been introduced for clinical use. Based on the principle of MBIR and its nonlinear nature, the noise performance of MBIR is expected to be different from that of the well-understood filtered backprojection (FBP) reconstruction method. The purpose of this work is to experimentally assess the unique noise characteristics of MBIR using a state-of-the-art clinical CT system. Methods: Three physical phantoms, including a water cylinder and two pediatric head phantoms, were scanned in axial scanning mode using a 64-slice CT scanner (Discovery CT750 HD, GE Healthcare, Waukesha, WI) at seven different mAs levels (5, 12.5, 25, 50, 100, 200, 300). At each mAs level, each phantom was repeatedly scanned 50 times to generate an image ensemble for noise analysis. Both the FBP method with a standard kernel and the MBIR method (Veo{sup }, GE Healthcare, Waukesha, WI) were used for CT image reconstruction. Three-dimensional (3D) noise power spectrum (NPS), two-dimensional (2D) NPS, and zero-dimensional NPS (noise variance) were assessed both globally and locally. Noise magnitude, noise spatial correlation, noise spatial uniformity and their dose dependence were examined for the two reconstruction methods. Results: (1) At each dose level and at each frequency, the magnitude of the NPS of MBIR was smaller than that of FBP. (2) While the shape of the NPS of FBP was dose-independent, the shape of the NPS of MBIR was strongly dose-dependent; lower dose lead to a redder NPS with a lower mean frequency value. (3) The noise standard deviation (?) of MBIR and dose were found to be related through a power law of ????(dose){sup ??} with the component ? ? 0.25, which violated the classical ????(dose){sup ?0.5} power law in FBP. (4) With MBIR, noise reduction was most prominent for thin image slices. (5) MBIR lead to better noise spatial uniformity when compared with FBP. (6) A composite image generated from two MBIR images acquired at two different dose levels (D1 and D2) demonstrated lower noise than that of an image acquired at a dose level of D1+D2. Conclusions: The noise characteristics of the MBIR method are significantly different from those of the FBP method. The well known tradeoff relationship between CT image noise and radiation dose has been modified by MBIR to establish a more gradual dependence of noise on dose. Additionally, some other CT noise properties that had been well understood based on the linear system theory have also been altered by MBIR. Clinical CT scan protocols that had been optimized based on the classical CT noise properties need to be carefully re-evaluated for systems equipped with MBIR in order to maximize the method's potential clinical benefits in dose reduction and/or in CT image quality improvement.

  20. Reliability and Geographic Trends of 50,000 Photovoltaic Systems in the USA: Preprint

    SciTech Connect (OSTI)

    Jordan, D. C.; Kurtz, S. R.

    2014-09-01

    This paper presents performance and reliability data from nearly 50,000 photovoltaic (PV) systems totaling 1.7 gigawatts installed capacity in the USA from 2009 to 2012 and their geographic trends. About 90% of the normal systems and about 85% of all systems, including systems with known issues, performed to within 10% or better of expected performance. Although considerable uncertainty may exist due to the nature of the data, hotter climates appear to exhibit some degradation not seen in the more moderate climates. Special causes of underperformance and their impacts are delineated by reliability category. Hardware-related issues are dominated by inverter problems (totaling less than 0.5%) and underperforming modules (totaling less than 0.1%). Furthermore, many reliability categories show a significant decrease in occurrence from year 1 to subsequent years, emphasizing the need for higher-quality installations but also the need for improved standards development. The probability of PV system damage because of hail is below 0.05%. Singular weather events can have a significant impact such as a single lightning strike to a transformer or the impact of a hurricane. However, grid outages are more likely to have a significant impact than PV system damage when extreme weather events occur.