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  1. North Dakota

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

    Dakota

  2. Dakota :

    SciTech Connect (OSTI)

    Adams, Brian M.; Ebeida, Mohamed Salah; Eldred, Michael S; Jakeman, John Davis; Swiler, Laura Painton; Stephens, John Adam; Vigil, Dena M.; Wildey, Timothy Michael; Bohnhoff, William J.; Eddy, John P.; Hu, Kenneth T.; Dalbey, Keith R.; Bauman, Lara E; Hough, Patricia Diane

    2014-05-01

    The Dakota (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a exible and extensible interface between simulation codes and iterative analysis methods. Dakota contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quanti cation with sampling, reliability, and stochastic expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the Dakota toolkit provides a exible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a theoretical manual for selected algorithms implemented within the Dakota software. It is not intended as a comprehensive theoretical treatment, since a number of existing texts cover general optimization theory, statistical analysis, and other introductory topics. Rather, this manual is intended to summarize a set of Dakota-related research publications in the areas of surrogate-based optimization, uncertainty quanti cation, and optimization under uncertainty that provide the foundation for many of Dakota's iterative analysis capabilities.

  3. DAKOTA 5.0

    Energy Science and Technology Software Center (OSTI)

    001217MLTPL02 DAKOTA Design Analysis Kit for Optimization and Terascale https://www.cs.sandia.gov/dakota/documentation.html

  4. Burleigh County, North Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    North Dakota Lincoln, North Dakota Lincoln-Fort Rice, North Dakota Lyman, North Dakota Phoenix, North Dakota Regan, North Dakota Wilton, North Dakota Wing, North Dakota Retrieved...

  5. Barnes County, North Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    County, North Dakota Dazey, North Dakota Fingal, North Dakota Kathryn, North Dakota Leal, North Dakota Litchville, North Dakota Nome, North Dakota Oriska, North Dakota...

  6. Cavalier County, North Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Calvin, North Dakota Hannah, North Dakota Langdon, North Dakota Loma, North Dakota Milton, North Dakota Munich, North Dakota Nekoma, North Dakota Osnabrock, North Dakota...

  7. Turner County, South Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Davis, South Dakota Dolton, South Dakota Hurley, South Dakota Irene, South Dakota Marion, South Dakota Monroe, South Dakota Parker, South Dakota Viborg, South Dakota Retrieved...

  8. Beadle County, South Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    A. Places in Beadle County, South Dakota Broadland, South Dakota Cavour, South Dakota Hitchcock, South Dakota Huron, South Dakota Iroquois, South Dakota Virgil, South Dakota...

  9. Rolette County, North Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    North Dakota North Rolette, North Dakota Rolette, North Dakota Rolla, North Dakota Shell Valley, North Dakota South Rolette, North Dakota St. John, North Dakota Turtle...

  10. Walworth County, South Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    A. Places in Walworth County, South Dakota Akaska, South Dakota Glenham, South Dakota Java, South Dakota Lowry, South Dakota Mobridge, South Dakota Selby, South Dakota Retrieved...

  11. Bowman County, North Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    A. Places in Bowman County, North Dakota Bowman, North Dakota Gascoyne, North Dakota Hart, North Dakota Rhame, North Dakota Scranton, North Dakota West Bowman, North Dakota...

  12. Wells County, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    North Dakota Cathay, North Dakota Fessenden, North Dakota Hamberg, North Dakota Harvey, North Dakota Hurdsfield, North Dakota Sykeston, North Dakota Retrieved from "http:...

  13. Cass County, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    North Dakota North River, North Dakota Oxbow, North Dakota Page, North Dakota Prairie Rose, North Dakota Reile's Acres, North Dakota Tower City, North Dakota West Fargo, North...

  14. Mountrail County, North Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    North Dakota New Town, North Dakota Palermo, North Dakota Parshall, North Dakota Plaza, North Dakota Ross, North Dakota Southwest Mountrail, North Dakota Stanley, North...

  15. Day County, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    A. Places in Day County, South Dakota Andover, South Dakota Bristol, South Dakota Butler, South Dakota Grenville, South Dakota Lily, South Dakota Pierpont, South Dakota...

  16. Pembina County, North Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    in Pembina County, North Dakota Bathgate, North Dakota Canton City, North Dakota Cavalier, North Dakota Crystal, North Dakota Drayton, North Dakota Hamilton, North Dakota...

  17. Steele County, North Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    North Dakota M Power LLC Places in Steele County, North Dakota Finley, North Dakota Hope, North Dakota Luverne, North Dakota Sharon, North Dakota Retrieved from "http:...

  18. Faulk County, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Onaka, South Dakota Orient, South Dakota Pulaski, South Dakota Rockham, South Dakota Seneca, South Dakota Southwest Faulk, South Dakota Retrieved from "http:en.openei.orgw...

  19. Douglas County, South Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    County, South Dakota Armour, South Dakota Corsica, South Dakota Delmont, South Dakota Harrison, South Dakota New Holland, South Dakota Retrieved from "http:en.openei.orgw...

  20. Charles Mix County, South Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Zone Subtype A. Places in Charles Mix County, South Dakota Castalia, South Dakota Dante, South Dakota Geddes, South Dakota Lake Andes, South Dakota Marty, South Dakota...

  1. Lincoln County, South Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    South Dakota Hudson, South Dakota Lennox, South Dakota Sioux Falls, South Dakota Tea, South Dakota Worthing, South Dakota Retrieved from "http:en.openei.orgw...

  2. LaMoure County, North Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Edgeley, North Dakota Jud, North Dakota Kulm, North Dakota LaMoure, North Dakota Marion, North Dakota Verona, North Dakota Retrieved from "http:en.openei.orgw...

  3. Roberts County, South Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Country Ethanol LLC Places in Roberts County, South Dakota Claire City, South Dakota Corona, South Dakota New Effington, South Dakota Ortley, South Dakota Peever, South Dakota...

  4. Dickey County, North Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Climate Zone Subtype A. Places in Dickey County, North Dakota Ellendale, North Dakota Forbes, North Dakota Fullerton, North Dakota Ludden, North Dakota Monango, North Dakota...

  5. Codington County, South Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Glacial Lakes Energy Places in Codington County, South Dakota Florence, South Dakota Henry, South Dakota Kranzburg, South Dakota South Shore, South Dakota Wallace, South Dakota...

  6. Bon Homme County, South Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Homme County, South Dakota Broin Enterprises Places in Bon Homme County, South Dakota Avon, South Dakota Scotland, South Dakota Springfield, South Dakota Tabor, South Dakota...

  7. DAKOTA 6.0

    Energy Science and Technology Software Center (OSTI)

    001217MLTPL03 Design Analysis Kit for Optimization and Terascale Applications 6.0 http://dakota.sandia.gov

  8. Davison County, South Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    LLC Places in Davison County, South Dakota Ethan, South Dakota Loomis, South Dakota Mitchell, South Dakota Mount Vernon, South Dakota Retrieved from "http:en.openei.orgw...

  9. Hettinger County, North Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    in Hettinger County, North Dakota Central Hettinger, North Dakota Mott, North Dakota New England, North Dakota Regent, North Dakota Retrieved from "http:en.openei.orgw...

  10. Clark County, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Climate Zone Number 6 Climate Zone Subtype A. Places in Clark County, South Dakota Bradley, South Dakota Clark, South Dakota Garden City, South Dakota Naples, South Dakota...

  11. Stark County, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Dakota Gladstone, North Dakota Richardton, North Dakota South Heart, North Dakota Taylor, North Dakota Retrieved from "http:en.openei.orgwindex.php?titleStarkCounty,Nor...

  12. Hanson County, South Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Biodiesel Producers LLC Places in Hanson County, South Dakota Alexandria, South Dakota Emery, South Dakota Farmer, South Dakota Fulton, South Dakota Retrieved from "http:...

  13. Moody County, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Colman, South Dakota Egan, South Dakota Flandreau, South Dakota Trent, South Dakota Ward, South Dakota Retrieved from "http:en.openei.orgwindex.php?titleMoodyCounty,Sout...

  14. Dunn County, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    A. Places in Dunn County, North Dakota Dodge, North Dakota Dunn Center, North Dakota Halliday, North Dakota Killdeer, North Dakota Retrieved from "http:en.openei.orgw...

  15. Ransom County, North Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    North Dakota Enderlin, North Dakota Fort Ransom, North Dakota Lisbon, North Dakota Sheldon, North Dakota Retrieved from "http:en.openei.orgwindex.php?titleRansomCounty,N...

  16. Kidder County, North Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Climate Zone Number 7 Climate Zone Subtype A. Places in Kidder County, North Dakota Dawson, North Dakota Kickapoo, North Dakota Pettibone, North Dakota Robinson, North Dakota...

  17. Dakota Ethanol | Open Energy Information

    Open Energy Info (EERE)

    Ethanol Jump to: navigation, search Name: Dakota Ethanol Place: Wentworth, South Dakota Zip: 57075 Product: Farmer Coop owner of a 189m litres per year ethanol plant Coordinates:...

  18. McPherson County, South Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Subtype A. Places in McPherson County, South Dakota Central McPherson, South Dakota Eureka, South Dakota Hillsview, South Dakota Leola, South Dakota Long Lake, South Dakota West...

  19. Hand County, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Climate Zone Number 6 Climate Zone Subtype A. Places in Hand County, South Dakota Miller, South Dakota Northwest Hand, South Dakota Ree Heights, South Dakota St. Lawrence,...

  20. Buffalo County, South Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Zone Number 6 Climate Zone Subtype A. Places in Buffalo County, South Dakota Fort Thompson, South Dakota North Buffalo, South Dakota Southeast Buffalo, South Dakota Retrieved...

  1. Sioux County, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Zone Number 6 Climate Zone Subtype A. Places in Sioux County, North Dakota Cannon Ball, North Dakota Fort Yates, North Dakota North Sioux, North Dakota Selfridge, North...

  2. El Insta Czech sro | Open Energy Information

    Open Energy Info (EERE)

    Insta Czech sro Jump to: navigation, search Name: El Insta Czech sro Place: Hruovany u Brna, Czech Republic Zip: 664 62 Product: Czech electrical installations company...

  3. Lyman County, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Climate Zone Number 6 Climate Zone Subtype A. Places in Lyman County, South Dakota Black Dog, South Dakota East Lyman, South Dakota Kennebec, South Dakota Lower Brule, South Dakota...

  4. McHenry County, North Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    McHenry, North Dakota Towner, North Dakota Upham, North Dakota Velva, North Dakota Voltaire, North Dakota Retrieved from "http:en.openei.orgwindex.php?titleMcHenryCounty,...

  5. McCook County, South Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Climate Zone Number 6 Climate Zone Subtype A. Places in McCook County, South Dakota Bridgewater, South Dakota Canistota, South Dakota Montrose, South Dakota Salem, South Dakota...

  6. North Dakota/Incentives | Open Energy Information

    Open Energy Info (EERE)

    Renewable Energy Tax Credit (North Dakota) Corporate Tax Credit Yes Residential Energy Efficiency Rebates (Offered by 5 Utilities) (North Dakota) Utility Rebate Program Yes...

  7. Dakota Valley Wind Project | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Name Dakota Valley Wind Project Facility Dakota Valley Sector Wind energy Facility Type Community Wind Location SD Coordinates 42.548355, -96.524841...

  8. McLean County, North Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Dakota Mercer, North Dakota North Central McLean, North Dakota Riverdale, North Dakota Ruso, North Dakota South McLean, North Dakota Turtle Lake, North Dakota Underwood, North...

  9. South Dakota geothermal handbook

    SciTech Connect (OSTI)

    Not Available

    1980-06-01

    The sources of geothermal fluids in South Dakota are described and some of the problems that exist in utilization and materials selection are described. Methods of heat extraction and the environmental concerns that accompany geothermal fluid development are briefly described. Governmental rules, regulations and legislation are explained. The time and steps necessary to bring about the development of the geothermal resource are explained in detail. Some of the federal incentives that encourage the use of geothermal energy are summarized. (MHR)

  10. North Dakota Recovery Act State Memo | Department of Energy

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

    North Dakota Recovery Act State Memo North Dakota has substantial natural resources, including ... North Dakota to play an important role in the new energy economy of the future. ...

  11. Spink County, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    6 Climate Zone Subtype A. Registered Energy Companies in Spink County, South Dakota Redfield Energy LLC Places in Spink County, South Dakota Ashton, South Dakota Brentford, South...

  12. Edgemont, South Dakota, Disposal Site Fact Sheet

    Office of Legacy Management (LM)

    Edgemont, South Dakota, Disposal Site This fact sheet provides information about the Edgemont, South Dakota, Disposal Site. This site is managed by the U.S. Department of Energy Office of Legacy Management under Title II of the Uranium Mill Tailings Radiation Control Act of 1978. Location of the Edgemont, South Dakota, Disposal Site Site Description and History The former Edgemont uranium mill is located in Edgemont, South Dakota, in Fall River County near the southwest corner of South Dakota.

  13. North Dakota State University

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

    North Dakota Natural Gas Gross Withdrawals (Million Cubic Feet) North Dakota Natural Gas Gross Withdrawals (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 5,413 4,886 5,408 5,186 5,231 5,259 5,595 5,337 4,737 4,987 5,214 5,404 1992 5,278 4,889 5,203 4,783 4,881 4,865 5,024 5,049 4,841 5,203 4,900 5,063 1993 5,424 5,010 5,517 5,467 5,533 5,365 5,541 5,541 5,308 5,388 5,318 5,539 1994 5,466 5,014 5,459 5,418 5,580 5,282 5,365 5,271 4,982 5,325 5,086 4,984 1995 4,914

  14. Czech Sun sro | Open Energy Information

    Open Energy Info (EERE)

    sro Jump to: navigation, search Name: Czech Sun sro Place: Bzenec, Czech Republic Zip: 696 81 Product: Czech project developer currently operating one 0.7MW PV plant in the Czech...

  15. Minn-Dakota Wind Farm I | Open Energy Information

    Open Energy Info (EERE)

    Minn-Dakota Wind Farm I Jump to: navigation, search Name Minn-Dakota Wind Farm I Facility Minn-Dakota Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility...

  16. Haakon County, South Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    6 Climate Zone Subtype A. Places in Haakon County, South Dakota Midland, South Dakota Philip, South Dakota Retrieved from "http:en.openei.orgwindex.php?titleHaakonCounty,So...

  17. Holden, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    ":"","inlineLabel":"","visitedicon":"" Hide Map Holden is a unorganized territory in Adams County, North Dakota. It falls under North Dakota's At-large congressional district....

  18. South Dakota Department of Natural Resources | Open Energy Information

    Open Energy Info (EERE)

    development in South Dakota related to the exploration and development of oil and gas resources. References "South Dakota Department of Natural Resources" Retrieved...

  19. Rapid City, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    under South Dakota's At-large congressional district.12 Contents 1 US Recovery Act Smart Grid Projects in Rapid City, South Dakota 2 Registered Energy Companies in Rapid...

  20. City of Miller, South Dakota (Utility Company) | Open Energy...

    Open Energy Info (EERE)

    Miller, South Dakota (Utility Company) Jump to: navigation, search Name: City of Miller Place: South Dakota Phone Number: (605) 853-2705 Website: millersd.orgmillercity-of-mi...

  1. Comments of Dakota Electric Association | Department of Energy

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

    Dakota Electric Association Comments of Dakota Electric Association DEA has deployed a ... A private Wide Area Network (WAN) was implemented by DEA in 2001 due to lack of ...

  2. Montana-Dakota Utilities Co (Wyoming) | Open Energy Information

    Open Energy Info (EERE)

    Montana-Dakota Utilities Co (Wyoming) (Redirected from MDU Resources Group Inc (Wyoming)) Jump to: navigation, search Name: Montana-Dakota Utilities Co Place: Wyoming Phone Number:...

  3. South Dakota Recovery Act State Memo | Department of Energy

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

    and geothermal power. Through these investments, South Dakota's businesses, the University of South Dakota, non-profits, and local governments are creating quality jobs today and ...

  4. City of Hillsboro, North Dakota (Utility Company) | Open Energy...

    Open Energy Info (EERE)

    Hillsboro, North Dakota (Utility Company) Jump to: navigation, search Name: City of Hillsboro Place: North Dakota Phone Number: 605-338-4042 Website: acupofcoffeeaway.comcity-info...

  5. City of Groton, South Dakota (Utility Company) | Open Energy...

    Open Energy Info (EERE)

    Groton, South Dakota (Utility Company) Jump to: navigation, search Name: City of Groton Place: South Dakota Phone Number: (605) 397-8422 Website: www.grotonsd.govcityelectric...

  6. City of Howard, South Dakota (Utility Company) | Open Energy...

    Open Energy Info (EERE)

    Howard, South Dakota (Utility Company) Jump to: navigation, search Name: City of Howard Place: South Dakota Phone Number: (605) 772-4391 Website: www.cityofhoward.comindex.asp...

  7. ,"North Dakota Crude Oil Reserves in Nonproducing Reservoirs...

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

    Data for" ,"Data 1","North Dakota Crude Oil Reserves in Nonproducing Reservoirs ... to Contents","Data 1: North Dakota Crude Oil Reserves in Nonproducing Reservoirs ...

  8. ,"North Dakota Crude Oil + Lease Condensate Proved Reserves ...

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

    Data for" ,"Data 1","North Dakota Crude Oil + Lease Condensate Proved Reserves ... to Contents","Data 1: North Dakota Crude Oil + Lease Condensate Proved Reserves ...

  9. ,"North Dakota Natural Gas Industrial Consumption (MMcf)"

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

    Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Industrial Consumption (MMcf)",1,"Monthly","102015" ,"Release Date:","12312015" ,"Next...

  10. ,"South Dakota Natural Gas Industrial Consumption (MMcf)"

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

    Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Industrial Consumption (MMcf)",1,"Monthly","102015" ,"Release Date:","12312015" ,"Next...

  11. Recovery Act State Memos South Dakota

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

    prototype for wind and solar ...... 5 * South Dakota ... energy tax credits and grants: 1 For total Recovery Act ... biomass, wind, geothermal, and hydroelectric power. ...

  12. South Dakota/Incentives | Open Energy Information

    Open Energy Info (EERE)

    Type Active Black Hills Power - Commercial Energy Efficiency Programs (South Dakota) Utility Rebate Program Yes Black Hills Power - Residential Customer Rebate Program (South...

  13. QER- Comment of Dakota Resource Council

    Broader source: Energy.gov [DOE]

    Attached are comments from the Dakota Resource Council, a membership-based organization of North Dakotans. Thank you for the opportunity to comment on the Infrastructure Constraints.

  14. North Dakota Natural Gas Processed in North Dakota (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    North Dakota (Million Cubic Feet) North Dakota Natural Gas Processed in North Dakota (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 111,925 177,995 231,935 301,661 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Processed North Dakota-North Dakota

  15. North Dakota Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    for your school's state, county, city, or district. For more information, please visit the High School Coach page. New Dakota Region High School Regional North Dakota North Dakota...

  16. North Dakota Energy Workforce Development

    SciTech Connect (OSTI)

    Carter, Drake

    2014-12-29

    Bismarck State College, along with its partners (Williston State College, Minot State University and Dickinson State University), received funding to help address the labor and social impacts of rapid oilfield development in the Williston Basin of western North Dakota. Funding was used to develop and support both credit and non-credit workforce training as well as four major symposia designed to inform and educate the public; enhance communication and sense of partnership among citizens, local community leaders and industry; and identify and plan to ameliorate negative impacts of oil field development.

  17. North Dakota Natural Gas Plant Liquids Production Extracted in North Dakota

    Gasoline and Diesel Fuel Update (EIA)

    (Million Cubic Feet) North Dakota (Million Cubic Feet) North Dakota Natural Gas Plant Liquids Production Extracted in North Dakota (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 48,504 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: NGPL Production, Gaseous Equivalent North Dakota-North

  18. South Dakota Renewable Electric Power Industry Statistics

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

    Dakota Primary Renewable Energy Capacity Source Hydro ... Conventional 1,594 44.0 Solar - - Wind 629 17.3 WoodWood ...Landfill Gas - - Other Biomass - 0.0 - No data reported. ...

  19. Categorical Exclusion Determinations: North Dakota | Department...

    Energy Savers [EERE]

    ... Carbon Dioxide Storage Efficiency in Deep Saline Formations CX(s) Applied: A9 Date: 0423... University of North Dakota- Novel Dry Cooling Technology for Power Plants CX(s) Applied: ...

  20. Premier Power Plaan Czech JV | Open Energy Information

    Open Energy Info (EERE)

    Plaan Czech JV Jump to: navigation, search Name: Premier Power & Plaan Czech JV Place: Czech Republic Sector: Solar Product: Czech-based company that is developing 19MW of solar PV...

  1. North Dakota Refining Capacity Study

    SciTech Connect (OSTI)

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

    2011-01-05

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

  2. City of Park River, North Dakota (Utility Company) | Open Energy...

    Open Energy Info (EERE)

    Park River, North Dakota (Utility Company) Jump to: navigation, search Name: City of Park River Place: North Dakota Phone Number: 701.284.6150 Website: www.parkrivernd.govoffice2.c...

  3. City of Hope, North Dakota (Utility Company) | Open Energy Information

    Open Energy Info (EERE)

    Hope, North Dakota (Utility Company) Jump to: navigation, search Name: City of Hope Place: North Dakota Phone Number: 701-945-2772 Website: www.hopend.com Outage Hotline:...

  4. Hope, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Hope is a city in Steele County, North Dakota. It falls under North Dakota's At-large...

  5. Bucyrus, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Map This article is a stub. You can help OpenEI by expanding it. Bucyrus is a city in Adams County, North Dakota. It falls under North Dakota's At-large congressional...

  6. Hettinger, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Map This article is a stub. You can help OpenEI by expanding it. Hettinger is a city in Adams County, North Dakota. It falls under North Dakota's At-large congressional...

  7. Reeder, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Map This article is a stub. You can help OpenEI by expanding it. Reeder is a city in Adams County, North Dakota. It falls under North Dakota's At-large congressional...

  8. Haynes, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Map This article is a stub. You can help OpenEI by expanding it. Haynes is a city in Adams County, North Dakota. It falls under North Dakota's At-large congressional...

  9. Adams, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Adams is a city in Walsh County, North Dakota. It falls under North Dakota's At-large...

  10. Minn-Dakota Wind Farm II | Open Energy Information

    Open Energy Info (EERE)

    II Jump to: navigation, search Name Minn-Dakota Wind Farm II Facility Minn-Dakota Wind Farm Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  11. North Dakota Wind II Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    II Wind Farm Jump to: navigation, search Name North Dakota Wind II Wind Farm Facility North Dakota Wind II Sector Wind energy Facility Type Commercial Scale Wind Facility Status In...

  12. Alamo, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Map This article is a stub. You can help OpenEI by expanding it. Alamo is a city in Williams County, North Dakota. It falls under North Dakota's At-large congressional...

  13. City of Big Stone City, South Dakota (Utility Company) | Open...

    Open Energy Info (EERE)

    City, South Dakota (Utility Company) Jump to: navigation, search Name: City of Big Stone City Place: South Dakota Phone Number: (605) 862-8121 Website: www.bigstonecitysd.govoffice...

  14. Dakota Electric Association- Commercial and Industrial Custom Energy Grant Program

    Broader source: Energy.gov [DOE]

    Dakota Electric will conduct an inspection of the project site prior to approval, and grant applications must earn pre-approval from Dakota Electric before any work begins. To qualify for rebates...

  15. City of White, South Dakota (Utility Company) | Open Energy Informatio...

    Open Energy Info (EERE)

    White, South Dakota (Utility Company) Jump to: navigation, search Name: City of White Place: South Dakota Phone Number: 605-629-2601 Website: www.white.govoffice2.comindex Outage...

  16. Traill County, North Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Dakota. Its FIPS County Code is 097. It is classified as ASHRAE 169-2006 Climate Zone Number 7 Climate Zone Subtype A. Places in Traill County, North Dakota Buxton, North...

  17. Aberdeen, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Map This article is a stub. You can help OpenEI by expanding it. Aberdeen is a city in Brown County, South Dakota. It falls under South Dakota's At-large congressional...

  18. EA-351 DC Energy Dakota, LLC | Department of Energy

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

    Order authorizing DC Energy Dakota, LLC to export electric energy to Canada PDF icon ... EA-351 DC Energy Dakota, LLC EA-344 Twin Cities Power-Canada, LLC EA-354 Endure Energy, ...

  19. West Central Electric Coop Inc (South Dakota) | Open Energy Informatio...

    Open Energy Info (EERE)

    West Central Electric Coop Inc (South Dakota) Jump to: navigation, search Name: West Central Electric Coop Inc Place: South Dakota Phone Number: 605-669-8100 Website: www.wce.coop...

  20. West Fargo, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. West Fargo is a city in Cass County, North Dakota. It falls under North Dakota's At-large...

  1. North Dakota Industrial Commission, Oil and Gas Divisioin | Open...

    Open Energy Info (EERE)

    in Bismarck, North Dakota. About The Oil and Gas Division regulates the drilling and production of oil and gas in North Dakota. Our mission is to encourage and promote the...

  2. Alternative Fuels Data Center: North Dakota Transportation Data for

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

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

  3. Energy Incentive Programs, North Dakota | Department of Energy

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

    Dakota Energy Incentive Programs, North Dakota Updated April 2015 North Dakota utilities budgeted about $1 million in 2013 to promote energy efficiency and load management in the state. What public-purpose-funded energy efficiency programs are available in my state? North Dakota has no public-purpose-funded energy efficiency programs. What utility energy efficiency programs are available to me? Otter Tail Power Company offers rebates for efficient air-source heat pumps, electric water heaters,

  4. Energy Incentive Programs, South Dakota | Department of Energy

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

    South Dakota Energy Incentive Programs, South Dakota Updated April 2015 South Dakota utilities budgeted over $3 million in 2013 to promote energy efficiency and load management in the state. What public-purpose-funded energy efficiency programs are available in my state? South Dakota has no public-purpose-funded energy efficiency programs. What utility energy efficiency programs are available to me? Black Hills Power (BHP) offers prescriptive and custom rebates for energy-efficient electric

  5. EIS-0025: Miles City-New Underwood 230-kV Electrical Transmission Line, Montana, North Dakota, and South Dakota

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy’s Western Area Power Administration prepared this statement to assess the environmental and socioeconomic implications of its proposed action to construct a 3.28-mile, 230-kV transmission line between Miles City and Baker, Montana, Hettinger, North Dakota, and New Underwood, South Dakota, in Custer and Fallon Counties in Montana, Adams, Bowman, and Slope Counties in North Dakota and Meade, Pennington, and Perkins Counties in South Dakota.

  6. North Dakota Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Shale Production (Billion Cubic Feet) North Dakota 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 3 3 25 2010's 64 95 203 268 426 - = 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 North Dakota Shale Gas Proved Reserves, Reserves Changes,

  7. DAKOTA JAGUAR 2.1 user's Manual.

    SciTech Connect (OSTI)

    Adams, Brian M.; Lefantzi, Sophia; Chan, Ethan; Ruthruff, Joseph R.

    2011-06-01

    JAGUAR (JAva GUi for Applied Research) is a Java software tool providing an advanced text editor and graphical user interface (GUI) to manipulate DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) input specifications. This document focuses on the features necessary for a user to use JAGUAR.

  8. DAKOTA JAGUAR 3.0 user's manual.

    SciTech Connect (OSTI)

    Adams, Brian M.; Bauman, Lara E; Chan, Ethan; Lefantzi, Sophia; Ruthruff, Joseph R.

    2013-05-01

    JAGUAR (JAva GUi for Applied Research) is a Java software tool providing an advanced text editor and graphical user interface (GUI) to manipulate DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) input specifications. This document focuses on the features necessary to use JAGUAR.

  9. EA-1920: Border Winds 2, North Dakota

    Broader source: Energy.gov [DOE]

    DOE’s Western Area Power Administration is preparing this EA to evaluate the environmental impacts of a proposed wind turbine generation facility in Rolette and Towner Counties in North Dakota. If the proposal is implemented, power generated by this facility would interconnect at an existing substation and would be distributed via an existing transmission line owned and operated by Western.

  10. Plaan Czech s r o | Open Energy Information

    Open Energy Info (EERE)

    Plaan Czech s r o Jump to: navigation, search Name: Plaan Czech s.r.o. Place: Kromeriz, Czech Republic Zip: 767 01 Sector: Renewable Energy, Solar Product: An electrical design and...

  11. EWIS European wind integration study (Smart Grid Project) (Czech...

    Open Energy Info (EERE)

    Czech Republic) Jump to: navigation, search Project Name EWIS European wind integration study Country Czech Republic Coordinates 49.817493, 15.472962 Loading map......

  12. Montana-Dakota Utilities- Commercial Energy Efficiency Incentive Program

    Broader source: Energy.gov [DOE]

    Montana-Dakota Utilities (MDU) offers a variety of rebates to commercial customers for the purchase and installation of energy efficient lighting measures, air conditioning equipment, variable...

  13. Montana-Dakota Utilities- Residential Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    Montana-Dakota Utilities (MDU) offers several residential rebates on energy efficient equipment for natural gas and electric customers. Natural gas customers are eligible for rebates on furnaces...

  14. Central Adams, North Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Central Adams, North Dakota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 46.1382966, -102.6799359 Show Map Loading map......

  15. West Adams, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Adams, North Dakota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 46.1901728, -102.9074546 Show Map Loading map... "minzoom":false,"mappings...

  16. East Adams, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Adams, North Dakota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 46.1228923, -102.293303 Show Map Loading map... "minzoom":false,"mappingse...

  17. ,"South Dakota Natural Gas LNG Storage Withdrawals (MMcf)"

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

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

  18. ,"South Dakota Natural Gas LNG Storage Additions (MMcf)"

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

    LNG Storage Additions (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota...

  19. City of Brookings, South Dakota (Utility Company) | Open Energy...

    Open Energy Info (EERE)

    to: navigation, search Name: Brookings City of Place: South Dakota Phone Number: (605) 692-6325 Website: www.brookingsutilities.com Outage Hotline: (605) 692-6325 References:...

  20. ,"North Dakota Natural Gas Industrial Price (Dollars per Thousand...

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

    Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)",1,"Monthly","102015" ,"Release Date:","12...

  1. ,"South Dakota Natural Gas Industrial Price (Dollars per Thousand...

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

    Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)",1,"Monthly","102015" ,"Release Date:","12...

  2. North Dakota Company Wins Praise for Wind Projects | Department...

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

    | Photo courtesy of Basin Electric Power Cooperative Stephen Graff Former Writer & editor for Energy Empowers, EERE Wind energy is taking off in the Dakotas, contributing ...

  3. ,"South Dakota Natural Gas Deliveries to Electric Power Consumers...

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

    Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Deliveries to Electric Power Consumers (MMcf)",1,"Monthly","102015" ,"Release...

  4. ,"South Dakota Natural Gas Price Sold to Electric Power Consumers...

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

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

  5. ,"North Dakota Natural Gas Deliveries to Electric Power Consumers...

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

    Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Deliveries to Electric Power Consumers (MMcf)",1,"Monthly","102015" ,"Release...

  6. ,"North Dakota Natural Gas Price Sold to Electric Power Consumers...

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

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

  7. Irene, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Irene, South Dakota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 43.0830474, -97.1606081 Show Map Loading map... "minzoom":false,"mappingse...

  8. Clay County, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    South Dakota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 42.8829344, -97.0068393 Show Map Loading map... "minzoom":false,"mappingservice":...

  9. Vermillion, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Vermillion, South Dakota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 42.7794417, -96.9292104 Show Map Loading map... "minzoom":false,"mapp...

  10. Wakonda, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Wakonda, South Dakota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 43.0083269, -97.1067167 Show Map Loading map... "minzoom":false,"mapping...

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

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

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

  12. Prairie Rose, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Rose, North Dakota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 46.8174651, -96.8356389 Show Map Loading map... "minzoom":false,"mappingser...

  13. ,"North Dakota Natural Gas Pipeline and Distribution Use Price...

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

    ies","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","9...

  14. Billings County, North Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Billings County, North Dakota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 47.0560305, -103.3906121 Show Map Loading map......

  15. Dakota County, Nebraska: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Nebraska Dakota City, Nebraska Emerson, Nebraska Homer, Nebraska Hubbard, Nebraska Jackson, Nebraska South Sioux City, Nebraska Retrieved from "http:en.openei.orgw...

  16. POWDERED ACTIVATED CARBON FROM NORTH DAKOTA LIGNITE: AN OPTION...

    Office of Scientific and Technical Information (OSTI)

    CARBON FROM NORTH DAKOTA LIGNITE: AN OPTION FOR DISINFECTION BY-PRODUCT CONTROL IN WATER TREATMENT PLANTS Citation Details In-Document Search Title: POWDERED ACTIVATED...

  17. South Dakota Wind Application Center | Open Energy Information

    Open Energy Info (EERE)

    Dakota. Its stated mission is to "Promote wind energy through project development and education."2 References "SDWAC's "Contact" Page" "SDWAC Homepage" External links...

  18. Energy Department and South Dakota Tribal Leaders Explore Ways...

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

    ... We invited all of the South Dakota tribal leaders to join the conversation. The response ... We approach this daunting task with a dual focus on improving infrastructure resilience ...

  19. Redfield, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Redfield, South Dakota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 44.8758095, -98.5187062 Show Map Loading map... "minzoom":false,"mappin...

  20. West Morton, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    "alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":"" Hide Map West Morton is a unorganized territory in Morton County, North Dakota. It falls under North...

  1. North Dakota's At-large congressional district: Energy Resources...

    Open Energy Info (EERE)

    Electric Motorcars Government of North Dakota M Power LLC Nor-son Construction Plains CO2 Reduction Partnership PCOR Tharaldson Ethanol LLC Wanzek Construction Inc Retrieved...

  2. South Dakota's At-large congressional district: Energy Resources...

    Open Energy Info (EERE)

    At-large congressional district Black Hills Corporation Broin Associates Broin Enterprises Capitaline Advisors LLC Dakota Ethanol Deadwood Biofuels LLC Kramer Energy Group...

  3. South Dakota/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

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

  4. North Dakota/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

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

  5. Great Bend, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Great Bend, North Dakota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 46.1538473, -96.8020228 Show Map Loading map... "minzoom":false,"mapp...

  6. Dakota County, Minnesota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Landfill Biomass Facility Pine Bend Biomass Facility Places in Dakota County, Minnesota Apple Valley, Minnesota Burnsville, Minnesota Coates, Minnesota Eagan, Minnesota Farmington,...

  7. EA-1955: Campbell County Wind Farm; Campbell County, South Dakota...

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

    an EA that analyzes the potential environmental impacts of a proposal to interconnect, via a proposed new substation, a proposed Dakota Plains Energy, LLC, 99-megawatt wind farm...

  8. Ramsey County, North Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Ramsey County, North Dakota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 48.3076017, -98.7287191 Show Map Loading map......

  9. EIS-0401: NextGen Project, South Dakota

    Broader source: Energy.gov [DOE]

    This EIS analyzes WAPA's proposed action for the construction and operation of the proposed NextGen Energy Facility (Project) in South Dakota.

  10. Ward County, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Ward County, North Dakota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 48.2147451, -101.5805256 Show Map Loading map......

  11. Colman, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Inc. Smart Grid Project Utility Companies in Colman, South Dakota Sioux Valley SW Elec Coop References US Census Bureau Incorporated place and minor civil division...

  12. North Dakota Crude Oil + Lease Condensate Proved Reserves (Million...

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

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

  13. South Dakota Quantity of Production Associated with Reported...

    Gasoline and Diesel Fuel Update (EIA)

    Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) South Dakota Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet)...

  14. North Dakota Quantity of Production Associated with Reported...

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

    Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet) North Dakota Quantity of Production Associated with Reported Wellhead Value (Million Cubic Feet)...

  15. Gardner, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Gardner, North Dakota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 47.1471966, -96.9678613 Show Map Loading map... "minzoom":false,"mapping...

  16. South Dakota Renewable Electric Power Industry Statistics

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

    Dakota Primary Renewable Energy Capacity Source Hydro Conventional Primary Renewable Energy Generation Source Hydro Conventional Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 3,623 100.0 Total Net Summer Renewable Capacity 2,223 61.3 Geothermal - - Hydro Conventional 1,594 44.0 Solar - - Wind 629 17.3 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass - - Generation (thousand megawatthours) Total Electricity Net Generation 10,050 100.0 Total

  17. South Dakota Wind Resource Assessment Network (WRAN)

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

    WRAN is a network of instrument stations sited throughout South Dakota. As of 2010, there are eleven stations, and some have been collecting data since 2001. The purpose of the WRAN:

    There are several reasons why the WRAN was built. One of the most obvious is that it will allow verification of the existing resource assessments of our state. South Dakota has tremendous potential as an exporter of wind-generated electricity. There has recently been a great deal of publicity over a Pacific Northwest National Laboratories study conducted in the early 1990s that ranked the contiguous 48 states in terms of their potential to produce windpower. (Click here for the results of this study as given by the American Wind Energy Association.) South Dakota ranked fourth in that study. Also, more recently, detailed maps of the wind resource in South Dakota were produced by the National Renewable Energy Laboratory (NREL). Unfortunately, both of these studies had to rely heavily on computer-generated models and very sparse measured data, because very little appropriate measured data exists. The WRAN will provide valuable data that we anticipate will validate the NREL maps, and perhaps suggest minor adjustments.

    There are many other benefits the WRAN will provide. The data it will measure will be at heights above ground that are more appropriate for predicting the performance of large modern wind turbines, as opposed to data collected at National Weather Service stations whose anemometers are usually only about 9 m (30 feet) above ground. Also, we will collect some different types of data than most wind measurement networks, which will allow a series of important studies of the potential impact and value of South Dakota's windpower. In addition, all of the WRAN data will be made available to the public via this WWWeb site. This will hopefully enable extensive informed discussion among all South Dakotans on such important topics as rural economic development and transmission system expansion. [Copied from http://sdwind.com/about/

  18. EA-1955: Campbell County Wind Farm; Campbell County, South Dakota

    Broader source: Energy.gov [DOE]

    DOE’s Western Area Power Administration (Western) prepared an EA that analyzes the potential environmental impacts of a proposal to interconnect, via a proposed new substation, a proposed Dakota Plains Energy, LLC, 99-megawatt wind farm near Pollock, South Dakota, to Western’s existing transmission line at that location.

  19. North Dakota Renewable Electric Power Industry Statistics

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

    Dakota Primary Renewable Energy Capacity Source Wind Primary Renewable Energy Generation Source Wind Capacity (megawatts) Value Percent of State Total Total Net Summer Electricity Capacity 6,188 100.0 Total Net Summer Renewable Capacity 1,941 31.4 Geothermal - - Hydro Conventional 508 8.2 Solar - - Wind 1,423 23.0 Wood/Wood Waste - - MSW/Landfill Gas - - Other Biomass 10 0.2 Generation (thousand megawatthours) Total Electricity Net Generation 34,740 100.0 Total Renewable Net Generation 6,150

  20. North Dakota Renewable Electric Power Industry Statistics

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

    North Dakota" "Primary Renewable Energy Capacity Source","Wind" "Primary Renewable Energy Generation Source","Wind" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",6188,100 "Total Net Summer Renewable Capacity",1941,31.4 " Geothermal","-","-" " Hydro Conventional",508,8.2 "

  1. South Dakota Renewable Electric Power Industry Statistics

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

    Dakota" "Primary Renewable Energy Capacity Source","Hydro Conventional" "Primary Renewable Energy Generation Source","Hydro Conventional" "Capacity (megawatts)","Value","Percent of State Total" "Total Net Summer Electricity Capacity",3623,100 "Total Net Summer Renewable Capacity",2223,61.3 " Geothermal","-","-" " Hydro Conventional",1594,44 "

  2. Montana Natural Gas Processed in North Dakota (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    North Dakota (Million Cubic Feet) Montana Natural Gas Processed in North Dakota (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 176 865 1,460 1,613 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Processed Montana-North Dakota

  3. Montana Natural Gas Plant Liquids Production Extracted in North Dakota

    Gasoline and Diesel Fuel Update (EIA)

    (Million Cubic Feet) North Dakota (Million Cubic Feet) Montana Natural Gas Plant Liquids Production Extracted in North Dakota (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 303 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: NGPL Production, Gaseous Equivalent Montana-North Dakota

  4. South Dakota Natural Gas Industrial Consumption (Million Cubic...

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

    South Dakota Natural Gas Industrial Consumption (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 513 451 449 370 329 253 260 259 287 329 343 367 2002 ...

  5. Logan County, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Logan County is a county in North Dakota. Its FIPS County Code is 047. It is classified as...

  6. City of Colman, South Dakota (Utility Company) | Open Energy...

    Open Energy Info (EERE)

    index.asp?SEC Facebook: https:www.facebook.compagesColman-South-Dakota341612992034?refhl Outage Hotline: (605) 534-3611 References: EIA Form EIA-861 Final Data File for 2010...

  7. North Dakota Dry Natural Gas New Reservoir Discoveries in Old...

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

    New Reservoir Discoveries in Old Fields (Billion Cubic Feet) North Dakota Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 ...

  8. Adams County, North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Adams County is a county in North Dakota. Its FIPS County Code is 001. It is classified as...

  9. South Dakota State UniversitySGI/DOE Regional Biomass Feedstock...

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

    South Dakota State University SGIDOE Regional Biomass Feedstock Partnership Competitive Grants (Award GO88073; WBS 7.6.2.6) 23-27 March 2015 Technology Area Review: Feedstock ...

  10. Campbell County, South Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Campbell County is a county in South Dakota. Its FIPS County Code is 021. It is classified as...

  11. Williams County, North Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Williams County is a county in North Dakota. Its FIPS County Code is 105. It is classified as...

  12. Grand Forks County, North Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Dakota. Its FIPS County Code is 035. It is classified as ASHRAE 169-2006 Climate Zone Number 7 Climate Zone Subtype A. Registered Energy Companies in Grand Forks County, North...

  13. Potter County, South Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Potter County is a county in South Dakota. Its FIPS County Code is 107. It is classified as...

  14. Dakota Electric Association- Commercial and Industrial Energy Efficiency Rebate Program

    Broader source: Energy.gov [DOE]

    Rebates are limited to 50% of the project cost up to a maximum of $100,000. Customers who wish to participate in this rebate program should call Dakota Electric Association before the new equipme...

  15. Brown County, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

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

  16. Jackson County, South Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

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

  17. Pierce County, North Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Pierce County is a county in North Dakota. Its FIPS County Code is 069. It is classified as...

  18. South Dakota Wind Energy Association | Open Energy Information

    Open Energy Info (EERE)

    South Dakota Wind Energy Association Address: 300 East Capitol Ave. Place: Pierre, SD Zip: 57501 Phone Number: 605.716.2981 Website: www.sdwind.org Coordinates: 44.364176,...

  19. North Dakota Natural Gas Number of Industrial Consumers (Number...

    Gasoline and Diesel Fuel Update (EIA)

    Industrial Consumers (Number of Elements) North Dakota Natural Gas Number of Industrial Consumers (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

  20. Stanley County, South Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Stanley County is a county in South Dakota. Its FIPS County Code is 117. It is classified as...

  1. City of Tyndall, South Dakota (Utility Company) | Open Energy...

    Open Energy Info (EERE)

    Place: South Dakota Phone Number: (605)-589-3481 Website: tyndallsd.comgovernment.html Outage Hotline: (605)-589-3481 References: EIA Form EIA-861 Final Data File for 2010 -...

  2. Nelson County, North Dakota: Energy Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Nelson County is a county in North Dakota. Its FIPS County Code is 063. It is classified as...

  3. sorbent-univerisity-north-dakota | netl.doe.gov

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

    Evaluation of CO2 Capture from Existing Coal-Fired Plants by Hybrid Sorption Using Solid Sorbents (CACHYS(tm)) Project No.: DE-FE0007603 The University of North Dakota (UND) is...

  4. Douglas Electric Coop, Inc (South Dakota) | Open Energy Information

    Open Energy Info (EERE)

    Coop, Inc Place: South Dakota Phone Number: 541.673.6616 Website: douglaselectric.com Outage Hotline: 1.800.233.2733 Outage Map: ebill.douglaselectric.comwoVi References: EIA...

  5. Dewey County, South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Dewey County is a county in South Dakota. Its FIPS County Code is 041. It is classified as...

  6. North Dakota Heat Content of Natural Gas Deliveries to Consumers...

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

    Heat Content of Natural Gas Deliveries to Consumers (BTU per Cubic Foot) North Dakota Heat Content of Natural Gas Deliveries to Consumers (BTU per Cubic Foot) Year Jan Feb Mar Apr ...

  7. South Dakota Heat Content of Natural Gas Deliveries to Consumers...

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

    Heat Content of Natural Gas Deliveries to Consumers (BTU per Cubic Foot) South Dakota Heat Content of Natural Gas Deliveries to Consumers (BTU per Cubic Foot) Year Jan Feb Mar Apr ...

  8. Perkins County, South Dakota: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Hide Map This article is a stub. You can help OpenEI by expanding it. Perkins County is a county in South Dakota. Its FIPS County Code is 105. It is classified as...

  9. South Dakota Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) South Dakota 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 2010's 113 86 71 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Processed South Dakota Natural Gas Plant Processing Natural Gas Processed

  10. DAKOTA Design Analysis Kit for Optimization and Terascale

    Energy Science and Technology Software Center (OSTI)

    2010-02-24

    The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes (computational models) and iterative analysis methods. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and analysis of computational models on high performance computers.A user provides a set of DAKOTA commands in an input file andmore » launches DAKOTA. DAKOTA invokes instances of the computational models, collects their results, and performs systems analyses. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, polynomial chaos, stochastic collocation, and epistemic methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as hybrid optimization, surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. Services for parallel computing, simulation interfacing, approximation modeling, fault tolerance, restart, and graphics are also included.« less

  11. Lower Yellowstone R E A, Inc (North Dakota) | Open Energy Information

    Open Energy Info (EERE)

    Inc (North Dakota) Jump to: navigation, search Name: Lower Yellowstone R E A, Inc Place: North Dakota Phone Number: (406) 488-1602 Website: www.lyrec.com Facebook: https:...

  12. Adams County, North Dakota ASHRAE 169-2006 Climate Zone | Open...

    Open Energy Info (EERE)

    Adams County, North Dakota ASHRAE 169-2006 Climate Zone Jump to: navigation, search County Climate Zone Place Adams County, North Dakota ASHRAE Standard ASHRAE 169-2006 Climate...

  13. City of McLaughlin, South Dakota (Utility Company) | Open Energy...

    Open Energy Info (EERE)

    McLaughlin, South Dakota (Utility Company) Jump to: navigation, search Name: City of McLaughlin Place: South Dakota Phone Number: (605) 823-4428 Outage Hotline: (605) 823-4428...

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

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

    South Dakota 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 2010's 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Plant Fuel Consumption South Dakota Natural Gas Consumption by End Use Plant Fuel Consumption of Natural Gas

  15. North Dakota Coalbed Methane Proved Reserves (Billion Cubic Feet)

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

    North Dakota 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. 31 North Dakota Coalbed Methane Proved Reserves, Reserves

  16. North Dakota Shale Proved Reserves (Billion Cubic Feet)

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

    Shale Proved Reserves (Billion Cubic Feet) North Dakota 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 21 24 368 2010's 1,185 1,649 3,147 5,059 6,442 - = 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 North Dakota Shale Gas

  17. North Dakota Dry Natural Gas Reserves Acquisitions (Billion Cubic Feet)

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

    Acquisitions (Billion Cubic Feet) North Dakota 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 9 5 42 6 22 22 40 43 26 1 2010's 136 169 206 384 322 - = 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 North Dakota Dry

  18. North Dakota Dry Natural Gas Reserves Sales (Billion Cubic Feet)

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

    Sales (Billion Cubic Feet) North Dakota 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 7 8 46 1 11 1 53 39 25 2 2010's 47 113 237 13 557 - = 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 North Dakota Dry Natural Gas Proved Reserves

  19. EIS-0418: PrairieWinds Project, South Dakota

    Broader source: Energy.gov [DOE]

    This EIS analyzes DOE's decision to approve the interconnection request from PrairieWinds for their South Dakota PrairieWinds Project, a 151.5-megawatt (MW) nameplate capacity wind powered generation facility, including 101 General Electric 1.5-MW wind turbine generators, electrical collector lines, collector substation, transmission line, communications system, and wind turbine service access roads.

  20. North Dakota: EERE-Funded Project Recycles Energy, Generates Electricity

    Broader source: Energy.gov [DOE]

    This SEP-funded project in Williston, North Dakota, places generators at oil production well sites to transform wellhead flare gas into high-quality, three-phase electricity,which is then sold to the local rural electric cooperatives. The modern, natural gas-fueled generators burn cleanly with ultra-low emissions ratings that exceed state and federal emissions standards.

  1. EIS-0072: Great Plains Gasification Project, Mercer County, North Dakota

    Broader source: Energy.gov [DOE]

    The Office of Fossil Energy prepared this EIS to evaluate the impacts of a project to construct a 125 million cubic feet per day coal gasification facility located in Mercer County, North Dakota. The Office of Fossil Energy adopted three environmental impact evaluation documents prepared by other Federal agencies to develop this EIS.

  2. EA-1979: Summit Wind Farm; Summit, South Dakota

    Broader source: Energy.gov [DOE]

    Western Area Power Administration (Western) prepared an EA that analyzes the potential environmental impacts of the proposed Summit Wind Farm, a proposed 99-MW wind farm south of Summit, South Dakota. The proposed wind farm would interconnect to Western’s existing transmission line within the footprint of the wind farm. .

  3. EA-1902: Northern Wind Project, Roberts County, South Dakota

    Broader source: Energy.gov [DOE]

    DOE’s Western Area Power Administration is preparing an EA that evaluates the potential environmental impacts of the proposed Northern Wind Project in Summit, Roberts County, South Dakota. Additional information is available on the project webpage, http://www.wapa.gov/ugp/Environment/NorthernWindFarm.htm.

  4. Approach of Czech regulatory body to LBB

    SciTech Connect (OSTI)

    Tendera, P.

    1997-04-01

    At present there are two NPPs equipped with PWR units in Czech Republic. The Dukovany, NPP is about ten years in operation (four units 440 MW - WWBFL model 213) and Tomelin NPP is under construction (two units 1000 MW - WWER model 320). Both NPPs were built to Soviet design and according to Soviet regulations and standards but most of equipment for primary circuits was supplied by home manufacturers. The objective of the Czech LBB program is to prove the LBB status of the primary piping systems of there NPPs and the LBB concept is a part of strategy to meet western style safety standards. The reason for the Czech LBB project is a lack of some standard safety Facilities too. For both Dukovany and Tomelin NPPs a full LBB analysis should be carried out. The application of LBB to the piping system should be also a cost effective means to avoid installations of pipe whip restraints and jet shields. The Czech regulatory body issued non-mandatory requirement, {open_quotes}Leak Before Break{close_quotes} which is in compliance with national legal documents and which is based on the US NRC Regulatory Procedures and US standards (ASMF CODE, ANSI). The requirement has been published in the document {open_quotes}Safety of Nuclear Facilities{close_quotes} No 1/1991 as {open_quotes}Requirements on the Content and Format of Safety Reports and their Supplements{close_quote} and consist of two parts (1) procedure for obtaining proof of evidence {open_quotes}Leak Before Break{close_quotes} (2) leak detection systems for the pressurized reactor primary circuit. At present some changes concerning both parts of the above document will be introduced. The reasons for this modifications will be presented.

  5. Approach for Czech regulatory body to LBB

    SciTech Connect (OSTI)

    Tendera, P.

    1997-04-01

    At present there are two NPPs equipped with PWR units in Czech Republic. The Dukovany NPP is about ten years in operation (four units 440 MW - WWER model 213) and Temelin NPP is under construction (two units 1000 MW-WWER model 320). Both NPPs were built to Soviet design and according to Soviet regulations and standards but most of equipment for primary circuits was supplied by home manufactures. The objective for the Czech LBB programme is to prove the LBB status of the primary piping systems of these NPPs and the LBB concept is a part of strategy to meet western style safety standards. The reason for the Czech LBB project is a lack of some standard safety facilities, too. For both Dukovany and Temolin NPPs a full LBB analysis should be carried out. The application of LBB to the piping system should be also a cost effective means to avoid installations of pipe whip restraints and jet shields. The Czech regulatory body issued non-mandatory requirement {open_quotes}Leak Before Break{close_quotes} which is in compliance with national legal documents and which is based on the US NRC Regulatory Procedures and US standards (ASME, CODE, ANSI). The requirement has been published in the document {open_quotes}Safety of Nuclear Facilities{close_quotes} No. 1/1991 as {open_quotes}Requirements on the Content and Format of Safety Reports and their Supplements{close_quotes} and consists of two parts (1) procedure for obtaining proof of evidence {open_quotes}Leak Before Break{close_quotes} (2) leak detection systems for the pressurized reactor primary circuit. At present some changes concerning both parts of the above document will be introduced. The reasons for this modifications will be presented.

  6. United States and Czech Republic Establish a Joint Civil Nuclear

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

    Cooperation Center in Prague | Department of Energy Czech Republic Establish a Joint Civil Nuclear Cooperation Center in Prague United States and Czech Republic Establish a Joint Civil Nuclear Cooperation Center in Prague June 12, 2013 - 12:17pm Addthis News Media Contact (202) 586-4940 PRAGUE, Czech Republic - The U.S. Department of Energy (DOE) recently joined with the U.S. Embassy in Prague and the Czech Republic's Ministry of Education, Youth and Sports to sign an agreement that

  7. United States and Czech Republic Join Together to Announce Bilateral

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

    Nuclear Energy Research and Development Efforts | Department of Energy Czech Republic Join Together to Announce Bilateral Nuclear Energy Research and Development Efforts United States and Czech Republic Join Together to Announce Bilateral Nuclear Energy Research and Development Efforts September 29, 2011 - 10:08am Addthis PRAGUE, Czech Republic - The U.S. Department of Energy recently joined with the Řež Nuclear Research Institute, the U.S. Embassy in Prague, Texas A&M and the Czech

  8. United States and Czech Republic Join Together to Announce Bilateral

    Energy Savers [EERE]

    Cooperation Center in Prague | Department of Energy Czech Republic Establish a Joint Civil Nuclear Cooperation Center in Prague United States and Czech Republic Establish a Joint Civil Nuclear Cooperation Center in Prague June 12, 2013 - 12:17pm Addthis News Media Contact (202) 586-4940 PRAGUE, Czech Republic - The U.S. Department of Energy (DOE) recently joined with the U.S. Embassy in Prague and the Czech Republic's Ministry of Education, Youth and Sports to sign an agreement that

  9. Energy Department and South Dakota Tribal Leaders Explore Ways to Lower Energy Costs

    Broader source: Energy.gov [DOE]

    Learn how the Energy Department is providing South Dakota tribes with resources and technical assistance to help lower their energy costs.

  10. North Dakota - State Energy Profile Overview - U.S. Energy Information...

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

    ... North Dakota Department of Commerce, Division of Community Services, Office of Renewable Energy and Energy Efficiency, Weatherization Assistance more Play a short video to learn ...

  11. Experiences using DAKOTA stochastic expansion methods in computational simulations.

    SciTech Connect (OSTI)

    Templeton, Jeremy Alan; Ruthruff, Joseph R.

    2012-01-01

    Uncertainty quantification (UQ) methods bring rigorous statistical connections to the analysis of computational and experiment data, and provide a basis for probabilistically assessing margins associated with safety and reliability. The DAKOTA toolkit developed at Sandia National Laboratories implements a number of UQ methods, which are being increasingly adopted by modeling and simulation teams to facilitate these analyses. This report disseminates results as to the performance of DAKOTA's stochastic expansion methods for UQ on a representative application. Our results provide a number of insights that may be of interest to future users of these methods, including the behavior of the methods in estimating responses at varying probability levels, and the expansion levels for the methodologies that may be needed to achieve convergence.

  12. DAKOTA reliability methods applied to RAVEN/RELAP-7.

    SciTech Connect (OSTI)

    Swiler, Laura Painton; Mandelli, Diego; Rabiti, Cristian; Alfonsi, Andrea

    2013-09-01

    This report summarizes the result of a NEAMS project focused on the use of reliability methods within the RAVEN and RELAP-7 software framework for assessing failure probabilities as part of probabilistic risk assessment for nuclear power plants. RAVEN is a software tool under development at the Idaho National Laboratory that acts as the control logic driver and post-processing tool for the newly developed Thermal-Hydraulic code RELAP-7. Dakota is a software tool developed at Sandia National Laboratories containing optimization, sensitivity analysis, and uncertainty quantification algorithms. Reliability methods are algorithms which transform the uncertainty problem to an optimization problem to solve for the failure probability, given uncertainty on problem inputs and a failure threshold on an output response. The goal of this work is to demonstrate the use of reliability methods in Dakota with RAVEN/RELAP-7. These capabilities are demonstrated on a demonstration of a Station Blackout analysis of a simplified Pressurized Water Reactor (PWR).

  13. South Dakota PrairieWinds Project Executive Summary Executive Summary

    Office of Environmental Management (EM)

    PrairieWinds Project Executive Summary Executive Summary This executive summary is included in the beginning of the Draft Environmental Impact Statement (DEIS) for the South Dakota PrairieWinds Project (Proposed Project) and is also intended to serve as a stand-alone document to provide a summary of the information contained within the full text version of the DEIS. For additional information on the topics contained within this summary please see the DEIS. S.1 INTRODUCTION Basin Electric Power

  14. Advancing our Nuclear Collaboration with the Czech Republic | Department of

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

    Energy our Nuclear Collaboration with the Czech Republic Advancing our Nuclear Collaboration with the Czech Republic September 28, 2011 - 5:36pm Addthis President Obama addresses a crowd in Hradcany Square on April 5, 2009, touching on issues from green energy to nuclear treaties. Daniel B. Poneman Daniel B. Poneman Former Deputy Secretary of Energy This week, I joined with the Řež Nuclear Research Institute, the U.S. Embassy in Prague, Texas A&M and the Czech Nuclear Education Network

  15. EIS-0461: Hyde County Wind Energy Center Project, Hyde and Buffalo Counties, South Dakota

    Broader source: Energy.gov [DOE]

    This EIS will evaluate the environmental impacts of interconnecting the proposed 150 megawatt Hyde County Wind Energy Center Project, in Hyde County, South Dakota, with DOE’s Western Area Power Administration’s existing Fort Thompson Substation in Buffalo County, South Dakota.

  16. South Dakota - State Energy Profile Overview - U.S. Energy Information...

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

    ... Enter Search Term(s): Search eia.gov A-Z Index A-Z Index A B C D E F G H I J K L M N O P Q R S T U V W XYZ U.S. States South Dakota South Dakota Profile State Profile and ...

  17. User guidelines and best practices for CASL VUQ analysis using Dakota.

    SciTech Connect (OSTI)

    Adams, Brian M.; Swiler, Laura Painton; Hooper, Russell; Lewis, Allison; McMahan, Jerry A.,; Smith, Ralph C.; Williams, Brian J.

    2014-03-01

    Sandia's Dakota software (available at http://dakota.sandia.gov) supports science and engineering transformation through advanced exploration of simulations. Specifically it manages and analyzes ensembles of simulations to provide broader and deeper perspective for analysts and decision makers. This enables them to enhance understanding of risk, improve products, and assess simulation credibility. This manual offers Consortium for Advanced Simulation of Light Water Reactors (LWRs) (CASL) partners a guide to conducting Dakota-based VUQ studies for CASL problems. It motivates various classes of Dakota methods and includes examples of their use on representative application problems. On reading, a CASL analyst should understand why and how to apply Dakota to a simulation problem. This SAND report constitutes the product of CASL milestone L3:VUQ.V&V.P8.01 and is also being released as a CASL unlimited release report with number CASL-U-2014-0038-000.

  18. United States and Czech Republic Join Together to Announce Bilateral...

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

    the civil-nuclear field is a state of the art partnership for the 21st century, one that ... "The Czech Republic has a long standing history of research and development in this field ...

  19. United States and Czech Republic Establish a Joint Civil Nuclear...

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

    June 12, 2013 - 12:17pm Addthis News Media Contact (202) 586-4940 PRAGUE, Czech Republic - ... Republic led by the U.S. Department of Commerce, both countries joined together to sign ...

  20. South Dakota Natural Gas LNG Storage Additions (Million Cubic Feet)

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

    Additions (Million Cubic Feet) South Dakota 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 0 0 0 0 0 0 1990's 0 0 24 0 0 0 0 0 44 83 2000's 70 89 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Additions of Liquefied Natural Gas

  1. South Dakota Natural Gas LNG Storage Withdrawals (Million Cubic Feet)

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

    Withdrawals (Million Cubic Feet) South Dakota 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 0 0 0 0 0 0 1990's 0 15 13 0 0 0 143 0 53 74 2000's 66 85 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Withdrawals of Liquefied

  2. South Dakota Natural Gas Lease Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) South Dakota 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 61 76 93 70 125 123 112 1990's 158 393 451 452 437 404 424 911 848 864 2000's 1,003 538 495 553 562 545 508 573 545 568 2010's 562 594 866 916 827 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release

  3. South Dakota Natural Gas Number of Industrial Consumers (Number of

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

    Elements) Industrial Consumers (Number of Elements) South Dakota 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 261 267 270 1990's 275 283 319 355 381 396 444 481 464 445 2000's 416 402 533 526 475 542 528 548 598 598 2010's 580 556 574 566 575 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016

  4. South Dakota Natural Gas Plant Liquids Production (Million Cubic Feet)

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

    Plant Liquids Production (Million Cubic Feet) South Dakota 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 1970's 86 4 0 1980's 0 0 0 0 1990's 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 30 25 21 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: NGPL Production, Gaseous

  5. South Dakota Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Vehicle Fuel Consumption (Million Cubic Feet) South Dakota Natural Gas Vehicle 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 0 0 1990's 0 2 5 7 5 4 4 10 8 10 2000's 10 13 13 16 18 0 W 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Delivered

  6. North Dakota Crude Oil Reserves in Nonproducing Reservoirs (Million

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

    Barrels) Reserves in Nonproducing Reservoirs (Million Barrels) North Dakota 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 17 22 2000's 29 91 62 47 52 56 53 107 148 463 2010's 969 1,421 2,207 3,278 3,456 - = 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

  7. North Dakota Dry Natural Gas Expected Future Production (Billion Cubic

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

    Feet) Expected Future Production (Billion Cubic Feet) North Dakota 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 361 374 439 1980's 537 581 629 600 566 569 541 508 541 561 1990's 586 472 496 525 507 463 462 479 447 416 2000's 433 443 471 448 417 453 479 511 541 1,079 2010's 1,667 2,381 3,569 5,420 6,034 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  8. North Dakota Natural Gas Liquids Lease Condensate, Proved Reserves (Million

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

    Barrels) Liquids Lease Condensate, Proved Reserves (Million Barrels) North Dakota 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 14 1980's 19 16 18 15 16 15 16 14 12 11 1990's 10 9 10 9 9 9 8 7 7 7 2000's 7 7 6 5 4 4 4 4 4 12 2010's 73 9 12 6 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  9. North Dakota Natural Gas Plant Liquids, Expected Future Production (Million

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

    Barrels) Liquids, Expected Future Production (Million Barrels) North Dakota 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 33 1980's 42 52 53 54 57 59 53 53 40 48 1990's 50 47 54 46 46 44 40 40 41 46 2000's 47 50 41 40 39 45 51 54 51 104 2010's 157 193 297 466 540 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  10. North Dakota Natural Gas, Wet After Lease Separation Proved Reserves

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

    (Billion Cubic Feet) Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet) North Dakota 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 485 1980's 594 654 696 673 643 650 610 578 593 625 1990's 650 533 567 585 568 518 512 531 501 475 2000's 487 495 524 497 465 508 539 572 603 1,213 2010's 1,869 2,652 3,974 6,081 6,787 - = No Data Reported; -- = Not Applicable; NA =

  11. North Dakota Nonassociated Natural Gas, Wet After Lease Separation, Proved

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

    Reserves (Billion Cubic Feet) Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) North Dakota 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 284 1980's 355 401 448 416 376 319 317 302 327 312 1990's 316 290 301 311 293 255 257 274 240 225 2000's 223 225 209 181 145 165 182 155 119 143 2010's 152 141 105 91 45 - = No Data

  12. North Dakota Dry Natural Gas Reserves Adjustments (Billion Cubic Feet)

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

    Adjustments (Billion Cubic Feet) North Dakota 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 0 16 -23 1980's -7 31 -1 -9 21 -31 6 -3 6 29 1990's 56 -93 44 49 -47 -2 22 -2 -31 -13 2000's 21 17 18 25 -29 -10 18 12 -7 47 2010's -2 -3 -56 -208 -31 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release

  13. North Dakota Dry Natural Gas Reserves Estimated Production (Billion Cubic

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

    Feet) Estimated Production (Billion Cubic Feet) North Dakota 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 25 28 30 1980's 37 44 51 58 58 59 55 57 73 55 1990's 58 49 43 52 47 43 45 46 46 39 2000's 42 41 53 50 51 53 52 53 65 82 2010's 94 133 230 302 406 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  14. North Dakota Dry Natural Gas Reserves Extensions (Billion Cubic Feet)

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

    Extensions (Billion Cubic Feet) North Dakota 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 2 5 37 1980's 31 69 60 23 28 17 10 5 51 8 1990's 16 11 17 21 7 2 5 25 25 1 2000's 3 3 8 5 7 49 30 59 102 401 2010's 442 572 834 1,523 1,161 - = 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:

  15. North Dakota Dry Natural Gas Reserves Revision Decreases (Billion Cubic

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

    Feet) Decreases (Billion Cubic Feet) North Dakota 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 10 18 14 1980's 18 85 56 113 96 46 51 64 78 52 1990's 50 33 57 27 24 29 22 17 27 31 2000's 15 32 20 44 57 27 31 62 75 81 2010's 722 375 292 640 777 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015

  16. North Dakota Dry Natural Gas Reserves Revision Increases (Billion Cubic

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

    Feet) Increases (Billion Cubic Feet) North Dakota 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 5 21 29 1980's 50 36 47 119 61 118 57 83 125 77 1990's 59 50 61 37 74 24 36 57 47 50 2000's 43 48 79 36 86 49 70 69 63 243 2010's 848 570 924 1,096 861 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  17. North Dakota Natural Gas Exports (Price) All Countries (Dollars per

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

    Thousand Cubic Feet) (Price) All Countries (Dollars per Thousand Cubic Feet) North Dakota Natural Gas Exports (Price) All Countries (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 -- 2000's -- -- -- 5.15 -- -- -- -- -- -- 2010's -- -- -- -- 14.71 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  18. North Dakota Natural Gas Vehicle Fuel Consumption (Million Cubic Feet)

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

    Vehicle Fuel Consumption (Million Cubic Feet) North Dakota Natural Gas Vehicle 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 0 0 1990's 0 1 3 8 8 12 15 41 40 49 2000's 54 67 68 83 93 3 1 1 1 2010's 1 1 1 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Delivered

  19. North Dakota Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) North Dakota 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 201 1980's 239 253 248 257 267 331 293 276 266 313 1990's 334 243 266 274 275 263 255 257 261 250 2000's 264 270 315 316 320 343 357 417 484 1,070 2010's 1,717

  20. North Dakota Dry Natural Gas Production (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    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. 31 North Dakota Coalbed Methane Proved Reserves, Reserves Changes, and Production

    + Lease Condensate Proved

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

    Gasoline and Diesel Fuel Update (EIA)

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

  2. sorbent-univerisity-north-dakota | netl.doe.gov

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

    Evaluation of CO2 Capture from Existing Coal-Fired Plants by Hybrid Sorption Using Solid Sorbents (CACHYS(tm)) Project No.: DE-FE0007603 The University of North Dakota (UND) is scaling up and demonstrating a solid sorbent technology for carbon dioxide (CO2) capture and separation from coal combustion-derived flue gas. The technology - Capture from Existing Coal-Fired Plants by Hybrid Sorption Using Solid Sorbents Capture (CACHYS(tm)) - is a novel solid sorbent process based on the following

  3. EA-1966: Sunflower Wind Project, Hebron, North Dakota

    Broader source: Energy.gov [DOE]

    Western Area Power Administration (Western) prepared an EA to evaluate potential environmental impacts of interconnecting a proposed 80 MW generating facility south of Hebron in Morton and Stark Counties, North Dakota. The proposed wind generating facility of 30-50 wind turbines encompassed approximately 9,000 acres. Ancillary facilities included an underground collection line system, a project substation, one mile of new transmission line, a new switchyard facility on the existing Dickinson-Mandan 230 kV line owned and operated by Western, one permanent meteorological tower, new access roads, and an operations and maintenance building.

  4. Hybrid Solar-Wind Generates Savings for South Dakota City | Department of

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

    Energy Hybrid Solar-Wind Generates Savings for South Dakota City Hybrid Solar-Wind Generates Savings for South Dakota City July 19, 2010 - 4:05pm Addthis What does this project do? The projects will reduce the city's natural gas and electric bills by an estimated $2,700. An array of six solar panels, similar to the ones shown, will be installed at Colton, S.D.'s city hall. | Photo courtesy of Colton. The city of Colton, South Dakota. is a small, agriculturally-based community. So small that

  5. Website Provides Data for Key Oil Play in North Dakota, Eastern Montana |

    Energy Savers [EERE]

    Department of Energy Website Provides Data for Key Oil Play in North Dakota, Eastern Montana Website Provides Data for Key Oil Play in North Dakota, Eastern Montana July 19, 2011 - 1:00pm Addthis Washington, DC - A new web-based geographic information system designed to improve oil production in North Dakota and eastern Montana has been launched with support from the U.S. Department of Energy. The Bakken Decision Support System (BDSS) assembles data for the Bakken and Three Forks Formations

  6. Dakota uncertainty quantification methods applied to the NEK-5000 SAHEX model.

    SciTech Connect (OSTI)

    Weirs, V. Gregory

    2014-03-01

    This report summarizes the results of a NEAMS project focused on the use of uncertainty and sensitivity analysis methods within the NEK-5000 and Dakota software framework for assessing failure probabilities as part of probabilistic risk assessment. NEK-5000 is a software tool under development at Argonne National Laboratory to perform computational fluid dynamics calculations for applications such as thermohydraulics of nuclear reactor cores. Dakota is a software tool developed at Sandia National Laboratories containing optimization, sensitivity analysis, and uncertainty quantification algorithms. The goal of this work is to demonstrate the use of uncertainty quantification methods in Dakota with NEK-5000.

  7. EA-1896: Williston to Stateline Transmission Line Project, Mountrail Williams Electric Cooperative, Williston, North Dakota

    Broader source: Energy.gov [DOE]

    DOE’s Western Area Power Administration is preparing this EA to evaluate the environmental impacts of interconnecting the proposed Stateline I transmission line, in Williston, North Dakota, to Western’s transmission system.

  8. EIS-0437: Interconnection of the Buffalo Ridge III Wind Project, Brookings and Deuel Counties, South Dakota

    Broader source: Energy.gov [DOE]

    This EIS evaluates the environmental impacts of a proposal to interconnect the Heartland Wind, LLC, proposed Buffalo Ridge III Wind Project in Brookings and Deuel Counties, South Dakota, to DOE’s Western Area Power Administration transmission system.

  9. North Dakota State Briefing Book for low-level radioactive waste management

    SciTech Connect (OSTI)

    1981-10-01

    The North Dakota State Briefing Book is one of a series of state briefing books on low-level radioactive waste management practices. It has been prepared to assist state and federal agency officials in planning for safe low-level radioactive waste disposal. The report contains a profile of low-level radioactive waste generators in North Dakota. The profile is the result of a survey of NRC licensees in North Dakota. The briefing book also contains a comprehensive assessment of low-level radioactive waste management issues and concerns as defined by all major interested parties including industry, government, the media, and interest groups. The assessment was developed through personal communications with representatives of interested parties, and through a review of media sources. Lastly, the briefing book provides demographic and socioeconomic data and a discussion of relevant government agencies and activities, all of which may impact waste management practices in North Dakota.

  10. South Dakota Geothermal Commercialization Project. Final report, July 1979-October 1985

    SciTech Connect (OSTI)

    Wegman, S.

    1985-01-01

    This report describes the activities of the South Dakota Energy Office in providing technical assistance, planning, and commercialization projects for geothermal energy. Projects included geothermal prospect identification, area development plans, and active demonstration/commercialization projects. (ACR)

  11. North Dakota, et al. v. EPA, Memorandum Opinion and Order Granting...

    Open Energy Info (EERE)

    North Dakota, et al. v. EPA, Memorandum Opinion and Order Granting Plaintiffs' Motion for Preliminary Injunction Jump to: navigation, search OpenEI Reference LibraryAdd to library...

  12. Analysis of Potential Benefits and Costs of Updating the Commercial Building Energy Code in North Dakota

    SciTech Connect (OSTI)

    Cort, Katherine A.; Belzer, David B.; Winiarski, David W.; Richman, Eric E.

    2004-04-30

    The state of North Dakota is considering updating its commercial building energy code. This report evaluates the potential costs and benefits to North Dakota residents from updating and requiring compliance with ASHRAE Standard 90.1-2001. Both qualitative and quantitative benefits and costs are assessed in the analysis. Energy and economic impacts are estimated using the Building Loads Analysis and System Thermodynamics (BLAST simulation combined with a Life-cycle Cost (LCC) approach to assess correspodning economic costs and benefits.

  13. EERE Success Story-North Dakota: EERE-Funded Project Recycles Energy,

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

    Generates Electricity | Department of Energy North Dakota: EERE-Funded Project Recycles Energy, Generates Electricity EERE Success Story-North Dakota: EERE-Funded Project Recycles Energy, Generates Electricity June 17, 2014 - 2:58pm Addthis Blaise Energy Inc. is using a Renewable Energy Market Development grant, funded by EERE, to demonstrate the commercial viability of its Flare Gas Micro-turbine. The microturbine pilot project places generators at oil production well sites to transform

  14. Allegations Regarding the Department of Energy's State Energy Program Funding to South Dakota

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

    Special Report Allegations Regarding the Department of Energy's State Energy Program Funding to South Dakota OAS-RA-L-14-01 April 2014 Department of Energy Washington, DC 20585 April 14, 2014 MEMORANDUM FOR THE MANAGER OF THE STATE ENERGY PROGRAM FROM: Jack Rouch, Director Central Audits Division Office of Inspector General SUBJECT: INFORMATION: Special Report on "Allegations Regarding the Department of Energy's State Energy Program Funding to South Dakota" BACKGROUND The Department of

  15. South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) South Dakota 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 9 24 50 1 0 0 0 0 10 16 1990's 10 3 10 9 61 37 87 30 4 5 2000's 13 5 3 57 5 4 0 1 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next

  16. South Dakota Natural Gas Number of Commercial Consumers (Number of

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

    Elements) Commercial Consumers (Number of Elements) South Dakota 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 12,480 12,438 12,771 1990's 13,443 13,692 14,133 16,523 15,539 16,285 16,880 17,432 17,972 18,453 2000's 19,100 19,378 19,794 20,070 20,457 20,771 21,149 21,502 21,819 22,071 2010's 22,267 22,570 22,955 23,214 23,591 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  17. South Dakota Natural Gas Number of Residential Consumers (Number of

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

    Elements) Residential Consumers (Number of Elements) South Dakota 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 101,468 102,084 103,538 1990's 105,436 107,846 110,291 128,029 119,544 124,152 127,269 130,307 133,095 136,789 2000's 142,075 144,310 147,356 150,725 148,105 157,457 160,481 163,458 165,694 168,096 2010's 169,838 170,877 173,856 176,204 179,042 - = No Data Reported; -- = Not

  18. South Dakota Natural Gas Total Consumption (Million Cubic Feet)

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

    Total Consumption (Million Cubic Feet) South Dakota 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 36,115 33,042 35,794 2000's 37,939 37,077 41,577 43,881 41,679 42,555 40,739 53,938 65,258 66,185 2010's 72,563 73,605 70,238 81,986 79,964 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  19. North Dakota Natural Gas Imports (No intransit Receipts) (Million Cubic

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

    Feet) Imports (No intransit Receipts) (Million Cubic Feet) North Dakota Natural Gas Imports (No intransit Receipts) (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 0 0 1990's 1,617 4,559 6,110 7,672 9,268 3,416 2000's 60,718 495,568 453,645 435,453 460,237 491,867 514,052 465,973 490,045 480,013 2010's 476,864 448,977 433,721 432,509 433,256 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  20. North Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) North Dakota 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 196 417 102 0 8,335 40,370 49,847 51,543 49,014 54,408 1990's 53,144 52,557 58,496 57,680 57,127 57,393 55,867 53,179 54,672 53,185 2000's 49,190 51,004 53,184 53,192 47,362 51,329 54,361 51,103 50,536 53,495 2010's 54,813 51,303 52,541 45,736 48,394 - = No

  1. North Dakota Natural Gas Number of Commercial Consumers (Number of

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

    Elements) Commercial Consumers (Number of Elements) North Dakota 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 11,905 12,104 12,454 1990's 12,742 12,082 12,353 12,650 12,944 13,399 13,789 14,099 14,422 15,050 2000's 15,531 15,740 16,093 16,202 16,443 16,518 16,848 17,013 17,284 17,632 2010's 17,823 18,421 19,089 19,855 20,687 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  2. North Dakota Natural Gas Number of Residential Consumers (Number of

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

    Elements) Residential Consumers (Number of Elements) North Dakota 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 83,517 84,059 84,643 1990's 85,646 87,880 89,522 91,237 93,398 95,818 97,761 98,326 101,930 104,051 2000's 105,660 106,758 108,716 110,048 112,206 114,152 116,615 118,100 120,056 122,065 2010's 123,585 125,392 130,044 133,975 137,972 - = No Data Reported; -- = Not Applicable; NA =

  3. North Dakota Natural Gas Plant Fuel Consumption (Million Cubic Feet)

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

    Fuel Consumption (Million Cubic Feet) North Dakota 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 2,086 2,165 2,216 1,957 2,737 2,112 2,005 1990's 4,835 4,777 4,753 4,734 5,059 4,542 4,283 4,420 4,471 4,553 2000's 4,738 3,874 5,141 4,548 4,602 4,816 4,364 4,323 4,283 4,521 2010's 4,294 5,473 5,887 6,707 5,736 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure

  4. North Dakota Natural Gas Total Consumption (Million Cubic Feet)

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

    Total Consumption (Million Cubic Feet) North Dakota 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 56,179 49,541 56,418 2000's 56,528 60,819 66,726 60,907 59,986 53,050 53,336 59,453 63,097 54,564 2010's 66,395 72,463 72,740 81,593 83,330 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  5. North Dakota Natural Gas Gross Withdrawals from Coalbed Wells (Million

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 1 0 0 2000's 0 3 1 0 3 1 2 2 1 1 2010's 2 0 1 337 40 3,671 Thousand Cubic Feet)

    (Price) All Countries (Dollars per Thousand Cubic Feet) North Dakota Natural Gas Exports (Price) All Countries (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 -- 2000's -- -- -- 5.15 -- -- -- -- -- -- 2010's -- -- -- -- 14.71 - = No Data

  6. North Dakota Natural Gas Plant Liquids Production Extracted in Illinois

    Gasoline and Diesel Fuel Update (EIA)

    Elements) Commercial Consumers (Number of Elements) North Dakota 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 11,905 12,104 12,454 1990's 12,742 12,082 12,353 12,650 12,944 13,399 13,789 14,099 14,422 15,050 2000's 15,531 15,740 16,093 16,202 16,443 16,518 16,848 17,013 17,284 17,632 2010's 17,823 18,421 19,089 19,855 20,687 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  7. JV Task 90 - Activated Carbon Production from North Dakota Lignite

    SciTech Connect (OSTI)

    Steven Benson; Charlene Crocker; Rokan Zaman; Mark Musich; Edwin Olson

    2008-03-31

    The Energy & Environmental Research Center (EERC) has pursued a research program for producing activated carbon from North Dakota lignite that can be competitive with commercial-grade activated carbon. As part of this effort, small-scale production of activated carbon was produced from Fort Union lignite. A conceptual design of a commercial activated carbon production plant was drawn, and a market assessment was performed to determine likely revenue streams for the produced carbon. Activated carbon was produced from lignite coal in both laboratory-scale fixed-bed reactors and in a small pilot-scale rotary kiln. The EERC was successfully able to upgrade the laboratory-scale activated carbon production system to a pilot-scale rotary kiln system. The activated carbon produced from North Dakota lignite was superior to commercial grade DARCO{reg_sign} FGD and Rheinbraun's HOK activated coke product with respect to iodine number. The iodine number of North Dakota lignite-derived activated carbon was between 600 and 800 mg I{sub 2}/g, whereas the iodine number of DARCO FGD was between 500 and 600 mg I{sub 2}/g, and the iodine number of Rheinbraun's HOK activated coke product was around 275 mg I{sub 2}/g. The EERC performed both bench-scale and pilot-scale mercury capture tests using the activated carbon made under various optimization process conditions. For comparison, the mercury capture capability of commercial DARCO FGD was also tested. The lab-scale apparatus is a thin fixed-bed mercury-screening system, which has been used by the EERC for many mercury capture screen tests. The pilot-scale systems included two combustion units, both equipped with an electrostatic precipitator (ESP). Activated carbons were also tested in a slipstream baghouse at a Texas power plant. The results indicated that the activated carbon produced from North Dakota lignite coal is capable of removing mercury from flue gas. The tests showed that activated carbon with the greatest iodine number was superior to commercial DARCO FGD for mercury capture. The results of the activated carbon market assessment indicate an existing market for water treatment and an emerging application for mercury control. That market will involve both existing and new coal-fired plants. It is expected that 20% of the existing coal-fired plants will implement activated carbon injection by 2015, representing about 200,000 tons of annual demand. The potential annual demand by new plants is even greater. In the mercury control market, two characteristics are going to dominate the customer's buying habit-performance and price. As continued demonstration testing of activated carbon injection at the various coal-fired power plants progresses, the importance of fuel type and plant configuration on the type of activated carbon best suited is being identified.

  8. Small Wind Electric Systems: A North Dakota Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-04-01

    Small Wind Electric Systems: A North Dakota Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  9. Small Wind Electric Systems: A South Dakota Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2007-04-01

    Small Wind Electric Systems: A South Dakota Consumer's Guide provides consumers with information to help them determine whether a small wind electric system can provide all or a portion of the energy they need for their home or business based on their wind resource, energy needs, and economics. Topics include how to make a home more energy efficient, how to choose the correct turbine size, the parts of a wind electric system, how to determine whether enough wind resource exists, how to choose the best site for a turbine, how to connect a system to the utility grid, and whether it's possible to become independent of the utility grid using wind energy. In addition, the cover of the guide contains a list of contacts for more information.

  10. North Dakota Natural Gas Plant Liquids Production (Million Cubic Feet)

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

    Liquids Production (Million Cubic Feet) North Dakota 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 5,150 5,428 4,707 1970's 4,490 3,592 3,199 2,969 2,571 2,404 2,421 2,257 2,394 2,986 1980's 3,677 5,008 5,602 7,171 7,860 8,420 6,956 7,859 6,945 6,133 1990's 6,444 6,342 6,055 5,924 5,671 5,327 4,937 5,076 5,481 5,804 2000's 6,021 6,168 5,996 5,818 6,233 6,858 7,254 7,438 7,878 10,140 2010's 11,381

  11. North Dakota Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) North Dakota 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 42,828 41,318 37,818 1970's 36,830 33,252 32,131 0 0 0 0 0 0 1980's 50,900 57,608 71,745 77,524 81,008 72,678 86,329 67,867 59,841 1990's 62,042 59,228 50,462 51,713 55,150 49,861 47,942 51,657 52,777 52,191 2000's 54,738 58,536 59,894 58,479 60,261 63,240 65,575 69,653 76,762 87,977 2010's 91,539 112,206 208,598 270,001

  12. North Dakota Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,082 1,093 1,096 1,091 1,068 1,131 1,140 1,077 1,013 1,099 1,112 1,089 2014 1,087 1,084 1,074 1,077 1,083 1,079 1,078 1,106 1,123 1,100 1,105 1,096 2015 1,036 1,078 1,072 1,084 1,084 1,089 1,117 1,095 1,078 1,093 1,097 1,112 2016 1,095 1,095

    % of Total Residential Deliveries (Percent) North Dakota Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  13. South Dakota Natural Gas % of Total Residential Deliveries (Percent)

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Foot) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 1,028 1,030 1,029 1,028 1,028 1,029 1,031 1,030 1,029 1,031 1,030 1,034 2014 1,034 1,034 1,035 1,036 1,039 1,041 1,039 1,045 1,045 1,049 1,048 1,048 2015 1,048 1,048 1,047 1,051 1,054 1,059 1,062 1,060 1,056 1,053 1,053 1,058 2016 1,060 1,058

    % of Total Residential Deliveries (Percent) South Dakota Natural Gas % of Total Residential Deliveries (Percent) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7

  14. COFIRING OF BIOMASS AT THE UNIVERSITY OF NORTH DAKOTA

    SciTech Connect (OSTI)

    Phillip N. Hutton

    2002-01-01

    A project funded by the U.S. Department of Energy's National Energy Technology Laboratory was completed by the Energy & Environmental Research Center to explore the potential for cofiring biomass at the University of North Dakota (UND). The results demonstrate how 25% sunflower hulls can be cofired with subbituminous coal and provide a 20% return on investment or 5-year payback for the modifications required to enable firing biomass. Significant outcomes of the study are as follows. A complete resource assessment presented all biomass options to UND within a 100-mile radius. Among the most promising options in order of preference were sunflower hulls, wood residues, and turkey manure. The firing of up to 28% sunflower hulls by weight was completed at the university's steam plant to identify plant modifications that would be necessary to enable cofiring sunflower hulls. The results indicated investments in a new equipment could be less than $408,711. Data collected from test burns, which were not optimized for biomass firing, resulted in a 15% reduction in sulfur and NO{sub x} emissions, no increase in opacity, and slightly better boiler efficiency. Fouling and clinkering potential were not evaluated; however, no noticeable detrimental effects occurred during testing. As a result of this study, UND has the potential to achieve a cost savings of approximately $100,000 per year from a $1,500,000 annual fossil fuel budget by implementing the cofiring of 25% sunflower hulls.

  15. South Dakota Natural Gas LNG Storage Net Withdrawals (Million Cubic Feet)

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

    Net Withdrawals (Million Cubic Feet) South Dakota 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 0 0 0 0 0 0 1990's 0 -15 11 0 0 0 -143 0 -9 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Net Withdrawals of Liquefied Natural Gas from Storage South Dakota

  16. North Dakota Natural Gas Exports to All Countries (Million Cubic Feet)

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

    Exports to All Countries (Million Cubic Feet) North Dakota Natural Gas Exports to All Countries (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 0 2000's 0 0 0 66 0 0 0 0 0 0 2010's 0 0 0 0 11 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Exports (Summary) North Dakota U.S. Natural

  17. EIS-0462: Crowned Ridge Wind Energy Center Project, Grant and Codington Counties, South Dakota

    Broader source: Energy.gov [DOE]

    This EIS analyzes DOE's decision to approve a grid interconnection request by NextEra Energy Resources for its proposed 150-megawatt (MW) Crowned Ridge Wind Energy Center Project with the Western Area Power Administration's existing Watertown Substation in Codington County, South Dakota.

  18. EIS-0435: Modification of the Groton Generation Station Interconnection Agreement, Brown County, South Dakota

    Broader source: Energy.gov [DOE]

    This EIS evaluates the environmental impacts of a proposal for DOE's Western Area Power Administration to modify its Large Generator Connection Agreement for the Groton Generation Station in Brown County, South Dakota. The modification would allow Basin Electric Power Cooperative, which operates the generation station, to produce power above the current operating limit of 50 average megawatts.

  19. EIS-0134: Charlie Creek-Belfield Transmission Line Project, North Dakota

    Broader source: Energy.gov [DOE]

    The Western Area Power Administration developed this EIS to assess the environmental impact of constructing a high voltage transmission line between Charlie Creek and Belfield, North Dakota, and a new substation near Belfield to as a means of adding transmission capacity to the area.

  20. EECBG Success Story: Hybrid Solar-Wind Generates Savings for South Dakota City

    Broader source: Energy.gov [DOE]

    The small town of Colton, South Dakota is using an Energy Efficiency and Conservation Block Grant (EECBG) to implement a comprehensive Energy Independence Community (EIC) Initiative that will reduce the town's natural gas and electric bills by an estimated $2,700. Learn more.

  1. Long term contracts, expansion, innovation and stability: North Dakota's lignite mines thrive

    SciTech Connect (OSTI)

    Buchsbaum, L.

    2009-08-15

    North Dakota's lignite coal industry is mainly located in three countries in the central part of the state. Its large surface lignite mines are tied through long-term (20-40 years) contracts to power plants. The article talks about operations at three of the most productive mines - the Freedom mine, Falkirk mine and Center Mine. 4 figs.

  2. Energy Department Completes Salt Coolant Material Transfer to Czech Republic for Advanced Reactor Research

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy recently joined with the U.S. Embassy in Prague and the Czech Republic’s Ministry of Industry and Trade to complete the transfer of 75 kilograms of fluoride salt from the Department’s Oak Ridge National Laboratory to the Czech Nuclear Research Institute Řež.

  3. DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis.

    SciTech Connect (OSTI)

    Eldred, Michael Scott; Vigil, Dena M.; Dalbey, Keith R.; Bohnhoff, William J.; Adams, Brian M.; Swiler, Laura Painton; Lefantzi, Sophia; Hough, Patricia Diane; Eddy, John P.

    2011-12-01

    The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a theoretical manual for selected algorithms implemented within the DAKOTA software. It is not intended as a comprehensive theoretical treatment, since a number of existing texts cover general optimization theory, statistical analysis, and other introductory topics. Rather, this manual is intended to summarize a set of DAKOTA-related research publications in the areas of surrogate-based optimization, uncertainty quantification, and optimization under uncertainty that provide the foundation for many of DAKOTA's iterative analysis capabilities.

  4. Evaluation of hydrothermal resources of North Dakota. Phase III final technical report

    SciTech Connect (OSTI)

    Harris, K.L.; Howell, F.L.; Wartman, B.L.; Anderson, S.B.

    1982-08-01

    The hydrothermal resources of North Dakota were evaluated. This evaluation was based on existing data on file with the North Dakota Geological Survey (NDGS) and other state and federal agencies, and field and laboratory studies conducted. The principal sources of data used during the study were WELLFILE, the computer library of oil and gas well data developed during the Phase I study, and WATERCAT, a computer library system of water well data assembled during the Phase II study. A field survey of the shallow geothermal gradients present in selected groundwater observation holes was conducted. Laboratory determinations of the thermal conductivity of core samples were done to facilitate heat-flow calculations on those holes-of-convenience cased.

  5. EIS-0469: Wilton IV Wind Energy Center; Burleigh County, North Dakota

    Broader source: Energy.gov [DOE]

    Western Area Power Administration is evaluating the potential environmental impacts of interconnecting NextEra Energy Resources proposed Wilton IV Wind Energy Center Project, near Bismarck, North Dakota, to Western’s existing Wilton/Baldwin substation and allowing NextEra’s existing wind projects in this area to operate above 50 annual MW. Western is preparing a Supplemental Draft EIS to address substantial changes to the proposal, including 30 turbine locations and 5 alternate turbine locations in Crofte Township.

  6. Standing Rock Sioux Tribe - Lakota/Dakota Nation: Establishment of Renewable Energy & Energy Development Office

    Energy Savers [EERE]

    8540 fwasinzi@standingrock.org Establishment of Renewable Energy & Energy Development Office Standing Rock Sioux Tribe - Lakota/Dakota Nation OVERVIEW: BACKGROUND INFORMATION ON STANDING ROCK RESERVATION SITTING BULL COLLEGE WIND TURBINE EECBG ENERGY EFFICIENCY & WIND TURBINE INSTALLATION AT SITTING BULL COLLEGE WIND ASSESSMENT STUDY ESTABLISHMENT OF RENEWABLE ENERGY & ENERGY DEVELOPMENT OFFICE (REEDO) STANDING ROCK ONE OF SEVEN RESERVATIONS OF THE GREAT SIOUX NATION LOCATED IN

  7. CASL-U-2015-0087-000 Dakota, A Multilevel Parallel Object-Oriented Framework

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

    87-000 Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.1 User's Manual Brian M. Adams Mohamed S. Ebeida Michael S. Eldred John D. Jakeman Laura P. Swiler J. Adam Stephens Dena M. Vigil Timothy M. Wildey William J. Bohnhoff Keith R. Dalbey John P. Eddy Kenneth T. Hu Lara E. Bauman Patricia D. Hough Sandia National Laboratory November 7, 2014 SAND2014-4633 Unlimited Release July

  8. Proposals in for Czech firms; cooperation likely with eastern Germany

    SciTech Connect (OSTI)

    Alperowicz, N.

    1993-02-10

    Two Western groups - Shell and a consortium made up of Agip, Conoco, and Total - have offered to buy the refining operations of Chemopetrol Litvinov and Kaucuk Kralupy, both in the Czech republic. Meanwhile, Amoco, Neste, and PCD are looking at the possibility of acquiring some of the plastics plants at Litvinov. Amoco is interested in the polypropylene operations, Neste in polyethylene, and PCD in both. The two Czech firms are included in the second wave of privatization, which will begin in midyear. So far, there have been no offers for the 80,000-m.t./year polystyrene and 60,000-m.t./year styrene butadiene rubber operations belonging to Kralupy, although Atochem representatives recently visited the plants. Litvinov is carrying out revamping operations at its core unit, a 12-year-old, 450,000-m.t./year ethylene plant. The plant, currently running at 400,000 m.t./year, supplies downstream plants, Neratovice, and sells on the export markets. An existing ethylene pipeline between Litvinov and Bohlen in eastern Germany, which used to supply an average 100,000 m.t./year of ethylene to Bohen in exchange for naphtha, is virtually unused. One proposal involves reactivating this exchange to secure ethylene feedstock for plants in eastern Germany. According to some sources, a preliminary decision has been made to shut down the 100,000-m.t./year ethylene plant at Leuna and possibly to expand the Bohlen cracker by 100,000 m.t./year, to 400,000 m.t./year by the late 1990s.

  9. Advanced power assessment for Czech lignite. Task 3.6, Volume 1

    SciTech Connect (OSTI)

    Sondreal, E.A.; Mann, M.D.; Weber, G.W.; Young, B.C.

    1995-12-01

    The US has invested heavily in research, development, and demonstration of efficient and environmentally acceptable technologies for the use of coal. The US has the opportunity to use its leadership position to market a range of advanced coal-based technologies internationally. For example, coal mining output in the Czech Republic has been decreasing. This decrease in demand can be attributed mainly to the changing structure of the Czech economy and to environmental constraints. The continued production of energy from indigenous brown coals is a major concern for the Czech Republic. The strong desire to continue to use this resource is a challenge. The Energy and Environmental Research Center undertook two major efforts recently. One effort involved an assessment of opportunities for commercialization of US coal technologies in the Czech Republic. This report is the result of that effort. The technology assessment focused on the utilization of Czech brown coals. These coals are high in ash and sulfur, and the information presented in this report focuses on the utilization of these brown coals in an economically and environmentally friendly manner. Sections 3--5 present options for utilizing the as-mined coal, while Sections 6 and 7 present options for upgrading and generating alternative uses for the lignite. Contents include Czech Republic national energy perspectives; powering; emissions control; advanced power generation systems; assessment of lignite-upgrading technologies; and alternative markets for lignite.

  10. South Dakota Natural Gas Lease and Plant Fuel Consumption (Million Cubic

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

    Feet) and Plant Fuel Consumption (Million Cubic Feet) South Dakota 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 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 0 0 63 61 76 93 70 125 123 112 1990's 158 393 451 452 437 404 424 911 848 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release

  11. South Dakota Natural Gas Number of Gas and Gas Condensate Wells (Number of

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

    Elements) Gas and Gas Condensate Wells (Number of Elements) South Dakota 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 Year-6 Year-7 Year-8 Year-9 1980's 53 1990's 54 54 38 47 55 56 61 60 59 60 2000's 71 68 69 61 61 69 69 71 71 89 2010's 102 100 95 65 68 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  12. South Dakota Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic

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

    Feet) Vehicle Fuel Price (Dollars per Thousand Cubic Feet) South Dakota 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 4.13 4.08 4.19 3.17 3.89 3.76 3.48 4.95 4.83 2000's 4.48 -- 4.14 -- -- -- -- -- -- -- 2010's -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date:

  13. Geothermal heating project at St. Mary's Hospital, Pierre, South Dakota. Final report

    SciTech Connect (OSTI)

    Not Available

    1984-12-01

    St. Mary's Hospital, Pierre, South Dakota, with the assistance of the US Department of Energy, drilled a 2176 ft well into the Madison Aquifer ot secure 108/sup 0/F artesian flow water at 385 gpm (475 psig shut-in pressure). The objective was to provide heat for domestic hot water and to space heat 163,768 sq. ft. Cost savings for the first three years were significant and, with the exception of a shutdown to replace some corroded pipe, the system has operated reliably and continuously for the last four years.

  14. North Dakota Associated-Dissolved Natural Gas, Wet After Lease Separation,

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

    Proved Reserves (Billion Cubic Feet) Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet) North Dakota 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 201 1980's 239 253 248 257 267 331 293 276 266 313 1990's 334 243 266 274 275 263 255 257 261 250 2000's 264 270 315 316 320 343 357 417 484 1,070 2010's 1,717

  15. North Dakota Renewable Electric Power Industry Net Generation, by Energy Source

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

    Dakota" "Energy Source",2006,2007,2008,2009,2010 "Geothermal","-","-","-","-","-" "Hydro Conventional",1521,1305,1253,1475,2042 "Solar","-","-","-","-","-" "Wind",369,621,1693,2998,4096 "Wood/Wood Waste","-","-","-","-","-" "MSW Biogenic/Landfill

  16. North Dakota Renewable Electric Power Industry Net Summer Capacity, by Energy Source

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

    Dakota" "Energy Source",2006,2007,2008,2009,2010 "Geothermal","-","-","-","-","-" "Hydro Conventional",443,486,486,508,508 "Solar","-","-","-","-","-" "Wind",164,383,776,1202,1423 "Wood/Wood Waste","-","-","-","-","-" "MSW/Landfill

  17. North Dakota Total Electric Power Industry Net Generation, by Energy Source

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

    Dakota" "Energy Source",2006,2007,2008,2009,2010 "Fossil",28987,29283,29721,29712,28552 " Coal",28879,29164,29672,29607,28462 " Petroleum",42,51,49,45,38 " Natural Gas",7,17,"s",17,16 " Other Gases",59,53,"-",44,36 "Nuclear","-","-","-","-","-" "Renewables",1894,1940,2959,4484,6150 "Pumped

  18. North Dakota Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Dakota" "Energy Source",2006,2007,2008,2009,2010 "Fossil",4222,4212,4212,4243,4247 " Coal",4127,4119,4119,4148,4153 " Petroleum",77,75,75,71,71 " Natural Gas",10,10,10,15,15 " Other Gases",8,8,8,8,8 "Nuclear","-","-","-","-","-" "Renewables",617,879,1272,1720,1941 "Pumped Storage","-","-","-","-","-"

  19. South Dakota Renewable Electric Power Industry Net Generation, by Energy Source

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

    Dakota" "Energy Source",2006,2007,2008,2009,2010 "Geothermal","-","-","-","-","-" "Hydro Conventional",3397,2917,2993,4432,5239 "Solar","-","-","-","-","-" "Wind",149,150,145,421,1372 "Wood/Wood Waste","-","-","-","-","-" "MSW Biogenic/Landfill

  20. South Dakota Renewable Electric Power Industry Net Summer Capacity, by Energy Source

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

    Dakota" "Energy Source",2006,2007,2008,2009,2010 "Geothermal","-","-","-","-","-" "Hydro Conventional",1516,1463,1463,1594,1594 "Solar","-","-","-","-","-" "Wind",43,43,193,320,629 "Wood/Wood Waste","-","-","-","-","-" "MSW/Landfill

  1. South Dakota Total Electric Power Industry Net Generation, by Energy Source

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

    Dakota" "Energy Source",2006,2007,2008,2009,2010 "Fossil",3586,3069,3912,3306,3439 " Coal",3316,2655,3660,3217,3298 " Petroleum",5,63,23,8,6 " Natural Gas",266,351,229,80,135 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",3546,3067,3140,4859,6611 "Pumped

  2. South Dakota Total Electric Power Industry Net Summer Capacity, by Energy Source

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

    Dakota" "Energy Source",2006,2007,2008,2009,2010 "Fossil",1374,1364,1449,1448,1401 " Coal",492,492,497,497,497 " Petroleum",232,226,230,230,228 " Natural Gas",649,645,722,722,676 " Other Gases","-","-","-","-","-" "Nuclear","-","-","-","-","-" "Renewables",1559,1506,1656,1914,2223 "Pumped

  3. North Dakota Natural Gas Number of Gas and Gas Condensate Wells (Number of

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

    Elements) Gas and Gas Condensate Wells (Number of Elements) North Dakota 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 Year-6 Year-7 Year-8 Year-9 1980's 61 1990's 103 100 104 101 104 99 108 104 99 96 2000's 94 95 100 117 117 148 200 200 194 196 2010's 188 239 211 200 200 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016

  4. ,"North Dakota 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","North Dakota Coalbed Methane Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  5. ,"North Dakota Dry Natural Gas Production (Million Cubic Feet)"

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

    Production (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Dry Natural Gas Production (Million Cubic Feet)",1,"Monthly","12/2013" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  6. ,"North Dakota Natural Gas Gross Withdrawals from Gas Wells (MMcf)"

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

    Gas Wells (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Gross Withdrawals from Gas Wells (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  7. ,"North Dakota Natural Gas Gross Withdrawals from Oil Wells (MMcf)"

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

    Oil Wells (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Gross Withdrawals from Oil Wells (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  8. ,"North Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  9. ,"North Dakota 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","North Dakota Natural Gas Liquids Lease Condensate, Proved Reserves (Million Barrels)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  10. ,"North Dakota 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","North Dakota Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  11. ,"North Dakota 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","North Dakota Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  12. ,"North Dakota 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","North Dakota Shale Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  13. ,"South Dakota Dry Natural Gas Production (Million Cubic Feet)"

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

    Dry Natural Gas Production (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Dry Natural Gas Production (Million Cubic Feet)",1,"Monthly","12/2013" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  14. ,"South Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  15. ,"South Dakota 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","South Dakota Natural Gas LNG Storage Net Withdrawals (MMcf)",1,"Annual",1998 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  16. ,"South Dakota Natural Gas Nonhydrocarbon Gases Removed (MMcf)"

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

    Nonhydrocarbon Gases Removed (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Nonhydrocarbon Gases Removed (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  17. ,"South Dakota Natural Gas Residential Consumption (MMcf)"

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

    Residential Consumption (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Residential Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  18. ,"South Dakota 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","South Dakota Natural Gas Vehicle Fuel Consumption (MMcf)",1,"Monthly","2/2016" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  19. ,"South Dakota 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","South Dakota Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  20. JV 38-APPLICATION OF COFIRING AND COGENERATION FOR SOUTH DAKOTA SOYBEAN PROCESSORS

    SciTech Connect (OSTI)

    Darren D. Schmidt

    2002-11-01

    Cogeneration of heat and electricity is being considered by the South Dakota Soybean Processors for its facility in Volga, South Dakota, and a new facility to be located in Brewster, Minnesota. The Energy & Environmental Research Center has completed a feasibility study, with 40% funding provided from the U.S. Department of Energy's Jointly Sponsored Research Program to determine the potential application of firing biomass fuels combined with coal and comparative economics of natural gas-fired turbines. Various biomass fuels are available at each location. The most promising options based on availability are as follows. The economic impact of firing 25% biomass with coal can increase return on investment by 0.5 to 1.5 years when compared to firing natural gas. The results of the comparative economics suggest that a fluidized-bed cogeneration system will have the best economic performance. Installation for the Brewster site is recommended based on natural gas prices not dropping below a $4.00/MMBtu annual average delivered cost. Installation at the Volga site is only recommended if natural gas prices substantially increase to $5.00/MMBtu on average. A 1- to 2-year time frame will be needed for permitting and equipment procurement.

  1. Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis :

    SciTech Connect (OSTI)

    Adams, Brian M.; Ebeida, Mohamed Salah; Eldred, Michael S.; Jakeman, John Davis; Swiler, Laura Painton; Stephens, John Adam; Vigil, Dena M.; Wildey, Timothy Michael; Bohnhoff, William J.; Eddy, John P.; Hu, Kenneth T.; Dalbey, Keith R.; Bauman, Lara E; Hough, Patricia Diane

    2014-05-01

    The Dakota (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a exible and extensible interface between simulation codes and iterative analysis methods. Dakota contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quanti cation with sampling, reliability, and stochastic expansion methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the Dakota toolkit provides a exible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a user's manual for the Dakota software and provides capability overviews and procedures for software execution, as well as a variety of example studies.

  2. Sequence Stratigraphy of the Dakota Sandstone, Eastern San Juan Basin, New Mexico, and its Relationship to Reservoir Compartmentalization

    SciTech Connect (OSTI)

    Varney, Peter J.

    2002-04-23

    This research established the Dakota-outcrop sequence stratigraphy in part of the eastern San Juan Basin, New Mexico, and relates reservoir quality lithologies in depositional sequences to structure and reservoir compartmentalization in the South Lindrith Field area. The result was a predictive tool that will help guide further exploration and development.

  3. DAKOTA, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 reference manual

    SciTech Connect (OSTI)

    Griffin, Joshua D. (Sandai National Labs, Livermore, CA); Eldred, Michael Scott; Martinez-Canales, Monica L.; Watson, Jean-Paul; Kolda, Tamara Gibson; Adams, Brian M.; Swiler, Laura Painton; Williams, Pamela J.; Hough, Patricia Diane; Gay, David M.; Dunlavy, Daniel M.; Eddy, John P.; Hart, William Eugene; Guinta, Anthony A.; Brown, Shannon L.

    2006-10-01

    The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a reference manual for the commands specification for the DAKOTA software, providing input overviews, option descriptions, and example specifications.

  4. Introduction to PGAS Languages

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

    PGAS Languages Introduction to PGAS Languages Introduction Partitioned Global Address Space Languages (PGAS) provide a parallel programming model based on the assumption that the global memory adress space is logically partitioned with a portion of the memory being assigned to a specific processor. Two common PGAS languages are Unified Parallel C (UPC) and Co-array Fortran (CAF). The first implementation of this tutorial is based on UPC and CAF. This tutorial assumes that you have some

  5. South Dakota Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) South Dakota 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 2,910 2,805 6,020 2000's 6,269 5,774 6,065 6,318 6,217 5,751 5,421 5,690 4,686 3,240 2010's 5,806 6,692 6,402 6,888 5,221 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages:

  6. South Dakota Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)

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

    Wellhead Price (Dollars per Thousand Cubic Feet) South Dakota 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 1970's 2.11 1980's 2.75 3.08 3.37 3.67 2.51 2.46 2.71 1.95 1.11 1990's 1.56 1.12 1.79 2.13 1.73 1.59 2.09 2.47 2.13 2000's 3.56 3.42 2.95 4.98 5.49 7.44 6.40 7.22 7.94 NA 2010's NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  7. North Dakota Dry Natural Gas Reserves New Field Discoveries (Billion Cubic

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

    Feet) New Field Discoveries (Billion Cubic Feet) North Dakota 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 25 8 47 1980's 20 34 44 5 4 1 2 2 0 1 1990's 0 0 0 0 0 3 3 0 0 0 2000's 0 0 0 0 0 5 1 0 6 6 2010's 25 10 16 1 4 - = 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. North Dakota Natural Gas Imports Price (Dollars per Thousand Cubic Feet)

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

    Price (Dollars per Thousand Cubic Feet) North Dakota Natural Gas Imports 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 1.55 0.97 1.26 1.67 1.71 1.88 2000's 6.10 4.10 3.04 5.31 5.82 8.23 6.71 6.75 8.72 3.92 2010's 4.41 4.04 2.72 3.59 5.00 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  9. North Dakota Natural Gas Lease and Plant Fuel Consumption (Million Cubic

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

    Feet) and Plant Fuel Consumption (Million Cubic Feet) North Dakota 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 17,133 16,163 14,691 1970's 14,067 13,990 12,773 12,462 11,483 12,008 15,998 13,697 12,218 3,950 1980's 1,017 13,759 3,514 4,100 4,563 4,710 3,974 5,194 4,014 3,388 1990's 6,939 11,583 8,462 8,256 11,306 11,342 11,603 8,572 8,309 - = No Data Reported; -- = Not Applicable; NA =

  10. North Dakota Natural Gas Pipeline and Distribution Use (Million Cubic Feet)

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

    (Million Cubic Feet) North Dakota 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 4,744 413 9,506 2000's 10,567 13,563 14,230 14,109 14,035 13,306 13,023 13,317 11,484 8,870 2010's 13,745 13,575 15,619 14,931 14,604 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016

  11. North Dakota Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic

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

    Feet) Vehicle Fuel Price (Dollars per Thousand Cubic Feet) North Dakota 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 4.31 3.34 4.25 4.61 4.19 2.71 1.54 3.92 4.01 4.50 2000's 5.51 6.32 3.88 6.84 8.61 10.21 11.11 8.25 11.32 8.69 2010's 8.84 8.08 6.17 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  12. North Dakota Natural Gas Delivered to Commercial Consumers for the Account

    Gasoline and Diesel Fuel Update (EIA)

    of Others (Million Cubic Feet) Delivered to Commercial Consumers for the Account of Others (Million Cubic Feet) North Dakota 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 103 716 2,082 1990's 2,585 3,223 3,035 2,908 2,199 2,224 1,454 1,207 1,631 1,178 2000's 1,157 1,031 977 617 773 704 653 693 732 776 2010's 764 795 837 981 968 - = No Data Reported; -- = Not

  13. South Dakota Natural Gas Delivered to Commercial Consumers for the Account

    Gasoline and Diesel Fuel Update (EIA)

    of Others (Million Cubic Feet) Delivered to Commercial Consumers for the Account of Others (Million Cubic Feet) South Dakota 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 298 321 695 1990's 1,161 1,723 1,603 1,724 1,124 1,406 2,008 1,742 1,466 1,802 2000's 1,711 1,535 1,739 1,832 1,758 1,617 1,703 1,943 1,931 2,059 2010's 2,100 2,030 1,721 2,235 2,268 - = No Data

  14. JV Task 99-Integrated Risk Analysis and Contaminant Reduction, Watford City, North Dakota

    SciTech Connect (OSTI)

    Jaroslav Solc; Barry W. Botnen

    2007-05-31

    The Energy & Environmental Research Center (EERC) conducted a limited site investigation and risk analyses for hydrocarbon-contaminated soils and groundwater at a Construction Services, Inc., site in Watford City, North Dakota. Site investigation confirmed the presence of free product and high concentrations of residual gasoline-based contaminants in several wells, the presence of 1,2-dichloroethane, and extremely high levels of electrical conductivity indicative of brine residuals in the tank area south of the facility. The risk analysis was based on compilation of information from the site-specific geotechnical investigation, including multiphase extraction pilot test, laser induced fluorescence probing, evaluation of contaminant properties, receptor survey, capture zone analysis and evaluation of well head protection area for municipal well field. The project results indicate that the risks associated with contaminant occurrence at the Construction Services, Inc. site are low and, under current conditions, there is no direct or indirect exposure pathway between the contaminated groundwater and soils and potential receptors.

  15. Radon Dose Determination for Cave Guides in Czech Republic

    SciTech Connect (OSTI)

    Thinova, Lenka; Rovenska, Katerina

    2008-08-07

    According to recommended approach there are six (from total of twelve) open-to-public caves in Czech Republic, reaching near to an effective lung-dose of 6mSv/year. A conservative approach for estimating the potential effective lung-dose in caves (or underground) is based on two season's measurements, using solid state alpha track detector (Kodak in plastic diffusion chamber). The obtained dataset is converted into an annual effective dose, in agreement with the ICRP65 recommendation, using the 'cave factor' 1.5. The value of 'cave factor' which depends on the spectrum of aerosol particles, or on the proportional representation of the unattached/attached ratio (6.5 : 93.5 for residential places, 13.6 : 86.4 for caves due to lower concentration of free aerosols) and on the equilibrium factor. Thus conversion factor is 1.5 times higher in comparison with ICRP 65. Is this correct? Because a more precisely determined dose value would have a significant impact on radon remedies, or on restricting the time workers stay underground, a series of measurement was initiated in 2003 with the aim to specify input data, computation and errors in effective dose assessment in each one of the evaluated caves separately. The enhancement of personal dosimetry for underground work places includes a study of the given questions, from the following points of view in each cave: continual radon measurement; regular measurements of radon and its daughters to estimate the equilibrium factor and the presence of free {sup 218}Po; regular indoor air flow measurements to study the location of the radon supply and its transfer among individual areas of the cave; natural radioactive element content evaluation in subsoil and in water inside/outside, a study of the radon sources in the cave; determination of the free fraction from continual unattached and attached fraction measurement (grid and filter); thoron measurement. Air flow measurements provide very interesting information about the origin of 'radon pockets' with very high radon concentration, and enable study of the location of the radon supply and its transfer among individual areas of the cave. Most of the results show the equilibrium factor around F = 0.2-0.7 and the unattached fraction around 2%-30%. One of the most important question remains: how accurately was the unattached fraction measured? Part of this project was to verify the influence of etched track detector position in the cave.

  16. Environmental Assessment and Finding of No Significant Impact: Wind Energy Center Edgeley/Kulm Project, North Dakota

    SciTech Connect (OSTI)

    N /A

    2003-04-15

    The proposed Edgeley/Kulm Project is a 21-megawatt (MW) wind generation project proposed by Florida Power and Light (FPL) Energy North Dakota Wind LLC (Dakota Wind) and Basin Electric Power Cooperative (Basin). The proposed windfarm would be located in La Moure County, south central North Dakota, near the rural farming communities of Kulm and Edgeley. The proposed windfarm is scheduled to be operational by the end of 2003. Dakota Wind and other project proponents are seeking to develop the proposed Edgeley/Kulm Project to provide utilities and, ultimately, electric energy consumers with electricity from a renewable energy source at the lowest possible cost. A new 115-kilovolt (kV) transmission line would be built to transmit power generated by the proposed windfarm to an existing US Department of Energy Western Area Power Administration (Western) substation located near Edgeley. The proposed interconnection would require modifying Western's Edgeley Substation. Modifying the Edgeley Substation is a Federal proposed action that requires Western to review the substation modification and the proposed windfarm project for compliance with Section 102(2) of the National Environmental Policy Act (NEPA) of 1969, 42 U.S.C. 4332, and Department of Energy NEPA Implementing Procedures (10 CFR Part 1021). Western is the lead Federal agency for preparation of this Environmental Assessment (EA). The US Fish and Wildlife Service (USFWS) is a cooperating agency with Western in preparing the EA. This document follows regulation issued by the Council on Environmental Quality (CEQ) for implementing procedural provisions of NEPA (40 CFR 1500-1508), and is intended to disclose potential impacts on the quality of the human environment resulting from the proposed project. If potential impacts are determined to be significant, preparation of an Environmental Impact Statement would be required. If impacts are determined to be insignificant, Western would complete a Finding of No Significant Impact (FONSI). Environmental protection measures that would be included in the design of the proposed project are included.

  17. Tectonic Setting and Characteristics of Natural Fractures in MesaVerde and Dakota Reservoirs of the San Juan Basin

    SciTech Connect (OSTI)

    LORENZ,JOHN C.; COOPER,SCOTT P.

    2000-12-20

    The Cretaceous strata that fill the San Juan Basin of northwestern New Mexico and southwestern Colorado were shortened in a generally N-S to NN13-SSW direction during the Laramide orogeny. This shortening was the result of compression of the strata between southward indentation of the San Juan Uplift at the north edge of the basin and northward to northeastward indentation of the Zuni Uplift from the south. Right-lateral strike-slip motion was concentrated at the eastern and western basin margins of the basin to form the Hogback Monocline and the Nacimiento Uplift at the same time, and small amounts of shear may have been pervasive within the basin as well. Vertical extension fractures, striking N-S to NNE-SSW with local variations (parallel to the Laramide maximum horizontal compressive stress), formed in both Mesaverde and Dakota sandstones under this system, and are found in outcrops and in the subsurface of the San Juan Basin. The immature Mesaverde sandstones typically contain relatively long, irregular, vertical extension fractures, whereas the quartzitic Dakota sandstones contain more numerous, shorter, sub-parallel, closely spaced, extension fractures. Conjugate shear planes in several orientations are also present locally in the Dakota strata.

  18. Environmental assessment of no remedial action at the inactive uraniferous lignite ashing sites at Belfield and Bowman, North Dakota

    SciTech Connect (OSTI)

    1997-06-01

    The Belfield and Bowman sites were not included on the original congressional list of processing sites to be designated by the Secretary of Energy. Instead, the sites were nominated for designation by the Dakota Resource Council in a letter to the DOE (September 7, 1979). In a letter to the DOE (September 12, 1979), the state of North Dakota said that it did not believe the sites would qualify as processing sites under the Uranium Mill Tailings Radiation Control Act (UMTRCA) because the activities at the sites involved only the ashing of uraniferous lignite coal and the ash was shipped out of state for actual processing. Nevertheless, on October 11, 1979, the state of North Dakota agreed to the designation of the sites because they met the spirit of the law (reduce public exposure to radiation resulting from past uranium operations). Therefore, these sites were designated by the Secretary of Energy for remedial action. Because of the relatively low health impacts determined for these sites, they were ranked as low priority and scheduled to be included in the final group of sites to be remediated.

  19. Overview of large scale experiments performed within the LBB project in the Czech Republic

    SciTech Connect (OSTI)

    Kadecka, P.; Lauerova, D.

    1997-04-01

    During several recent years NRI Rez has been performing the LBB analyses of safety significant primary circuit pipings of NPPs in Czech and Slovak Republics. The analyses covered the NPPs with reactors WWER 440 Type 230 and 213 and WWER 1000 Type 320. Within the relevant LBB projects undertaken with the aim to prove the fulfilling of the requirements of LBB, a series of large scale experiments were performed. The goal of these experiments was to verify the properties of the components selected, and to prove the quality and/or conservatism of assessments used in the LBB-analyses. In this poster, a brief overview of experiments performed in Czech Republic under guidance of NRI Rez is presented.

  20. DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, developers manual.

    SciTech Connect (OSTI)

    Eldred, Michael Scott; Dalbey, Keith R.; Bohnhoff, William J.; Adams, Brian M.; Swiler, Laura Painton; Hough, Patricia Diane; Gay, David M.; Eddy, John P.; Haskell, Karen H.

    2010-05-01

    The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a developers manual for the DAKOTA software and describes the DAKOTA class hierarchies and their interrelationships. It derives directly from annotation of the actual source code and provides detailed class documentation, including all member functions and attributes.

  1. Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 developers manual.

    SciTech Connect (OSTI)

    Griffin, Joshua D. (Sandia National lababoratory, Livermore, CA); Eldred, Michael Scott; Martinez-Canales, Monica L.; Watson, Jean-Paul; Kolda, Tamara Gibson (Sandia National lababoratory, Livermore, CA); Giunta, Anthony Andrew; Adams, Brian M.; Swiler, Laura Painton; Williams, Pamela J.; Hough, Patricia Diane (Sandia National lababoratory, Livermore, CA); Gay, David M.; Dunlavy, Daniel M.; Eddy, John P.; Hart, William Eugene; Brown, Shannon L.

    2006-10-01

    The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a developers manual for the DAKOTA software and describes the DAKOTA class hierarchies and their interrelationships. It derives directly from annotation of the actual source code and provides detailed class documentation, including all member functions and attributes.

  2. Visualizing the Surface Infrastructure Used to Move 2 MtCO2/year from the Dakota Gasification Company to the Weyburn CO2 Enhanced Oil Recovery Project: Version of July 1, 2009

    SciTech Connect (OSTI)

    Dooley, James J.

    2009-07-09

    Google Earth Pro has been employed to create an interactive flyover of the worlds largest operational carbon dioxide capture and storage project. The visualization focuses on the transport and storage of 2 MtCO2/year which is captured from the Dakota Gasification Facility (Beula, North Dakota) and transported 205 miles and injected into the Weyburn oil field in Southeastern Saskatchewan.

  3. A study of mining-induced seismicity in Czech mines with longwall coal exploitation

    SciTech Connect (OSTI)

    Holub, K.

    2007-01-15

    A review is performed for the data of local and regional seismographical networks installed in mines of the Ostrava-Karvina Coal Basin (Czech Republic), where underground anthracite mining is carried out and dynamic events occur in the form of rockbursts. The seismological and seismoacoustic observations data obtained in panels that are in limiting state are analyzed. This aggregate information is a basic for determining hazardous zones and assigning rockburst prevention measures.

  4. Advanced power assessment for Czech lignite task 3.6. Topical report

    SciTech Connect (OSTI)

    Sondreal, E.A.; Mann, M.D.; Weber, G.W.; Young, B.C.

    1995-12-01

    Major reforms in the Czech energy sector have been initiated to reverse 40 years of central planning, subsidized energy pricing, unchecked pollution from coal-fired plants, concerns over nuclear safety and fuel cycle management, and dependence on the former U.S.S.R. for oil, gas, and nuclear fuel processing. Prices for electricity, heat, and natural gas paid by industry are close to western levels, but subsidized prices for households are as much as 40% lower and below economic cost. State control of major energy enterprises is being reduced by moving toward government-regulated, investor-owned companies to raise needed capital, but with a strategic stake retained by the state. Foreign firms will participate in privatization, but they are not expected to acquire a controlling interest in Czech energy companies. Economic conditions in the Czech Republic are now improving after the disruptions caused by restructuring since 1989 and separation of the former Czech and Slovak Federal Republics in January 1993. The downturn in the economy after 1989 was concentrated in energy-intensive heavy industry, and recovery is paced by consumer trade, services, light industry and construction. Energy use in relation to gross domestic product (GDP) has declined, but it is still significantly higher than in OECD (Organization for Economic Cooperation and Development) countries. The GDP increased by 2% in 1994 after dropping 22% between 1989 and 1993. A positive balance of payments has been achieved, with foreign investment offsetting a small trade deficit. The government`s external debt is only 4% of GDP. This report studies the application of lignite resources within the newly formulated energy policies of the republic, in light of a move toward privatization and stronger air pollution regulations. Lignite has represented the major energy source for the country.

  5. Management of Spent and Disused Sealed Radioactive Sources in the Czech Republic - 12124

    SciTech Connect (OSTI)

    Podlaha, J.

    2012-07-01

    The Czech Republic is a country with a well-developed peaceful utilization of nuclear energy and ionizing radiation. Sealed Radioactive Sources (further also SRS) are broadly used in many areas in the Czech Republic, e.g. in research, industry, medicine, education, agriculture, etc. Legislation in the field of ionizing radiation source utilization has been fully harmonized with European Community legislation. SRS utilization demands a proper system which must ensure the safe use of SRS, including the management of disused (spent) and orphaned SRS. In the Czech Republic, a comprehensive system of SRS management has been established that is comparable with systems in other developed countries. The system covers both legal and institutional aspects. The Central Register of Ionizing Radiation Sources is an important part of the system. It is a tracking system that covers all activities related to SRS, from their production or import to the end of their use (recycling or disposal). Many spent SRS are recycled and can be used for other purposes after inspection, repacking or reprocessing. When the disused SRS are not intended for further use, they are managed as radioactive waste (RAW). The system of SRS management also ensures the suitable resolution of situations connected with improper SRS handling (in the case of orphaned sources, accidents, etc.). (author)

  6. South Dakota 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) South Dakota 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 0.24 0.22 0.20 1970's 0.20 0.20 0.30 0.33 0.31 0.50 0.55 0.63 0.78 1.20 1980's 1.71 2.20 2.91 3.31 3.32 3.46 2.69 2.17 2.05 1.91 1990's 2.13 1.42 1.22 1.80 1.36 1.03 1.75 2.13 1.68 2.12 2000's 3.76 3.28 NA -- -- -- - = No Data Reported; -- = Not

  7. North Dakota Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)

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

    Wellhead Price (Dollars per Thousand Cubic Feet) North Dakota 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 0.16 0.17 0.16 1970's 0.16 0.17 0.17 0.20 0.20 0.23 0.34 0.35 0.46 1.28 1980's 1.19 1.94 2.30 2.27 2.26 1.90 1.35 1.30 2.00 1.78 1990's 1.79 1.67 1.97 1.84 2.16 2.14 2.32 2000's 3.94 3.53 2.73 3.53 5.73 8.40 6.52 6.67 8.55 3.74 2010's 3.92 - = No Data Reported; -- = Not Applicable; NA = Not

  8. North Dakota 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) North Dakota 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 0.27 0.17 0.17 1970's 0.20 0.20 0.25 0.29 0.31 0.51 0.57 0.75 0.95 1.55 1980's 1.81 2.34 4.11 3.80 3.42 2.77 2.56 2.40 2.49 2.03 1990's 1.61 1.35 1.28 1.84 1.34 1.01 1.70 2.07 1.77 2.12 2000's 3.62 2.14 NA -- -- -- - = No Data Reported; -- = Not

  9. Spearfish High School, Sparfish, South Dakota solar energy system performance evaluation, September 1980-June 1981

    SciTech Connect (OSTI)

    Howard, B.D.

    1981-01-01

    Spearfish High School in South Dakota contains 43,000 square feet of conditioned space. Its active solar energy system is designed to supply 57% of the space heating and 50% of the hot water demand. The system is equipped with 8034 square feet of flat plate collectors, 4017 cubic feet of rock bin sensible heat storage, and auxiliary equipment including 8 heat pumps, 6 of which are solar supplied and instrumented, air conditioning units, and natural-gas-fired boilers. Performance data are given for the system including the solar fraction, solar savings ratio, conventional fuel savings, system performance factor and solar system coefficient of performance. Insolation, solar energy utilization and operation data are also given. The performance of the collector, storage, domestic hot water and space heating subsystems, the operating energy, energy savings, and weather conditions are also evaluated. Appended are a system description, performance evaluation techniques and equations, site history, long-term weather data, sensor technology, and typical monthly data. (LEW)

  10. Economic Impact of Harvesting Corn Stover under Time Constraint: The Case of North Dakota

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

    Maung, Thein A.; Gustafson, Cole R.

    2013-01-01

    This study examines the impact of stochastic harvest field time on profit maximizing potential of corn cob/stover collection in North Dakota. Three harvest options are analyzed using mathematical programming models. Our findings show that under the first corn grain only harvest option, farmers are able to complete harvesting corn grain and achieve maximum net income in a fairly short amount of time with existing combine technology. However, under the second simultaneous corn grain and cob (one-pass) harvest option, farmers generate lower net income compared to the net income of the first option. This is due to the slowdown in combinemore » harvest capacity as a consequence of harvesting corn cobs. Under the third option of separate corn grain and stover (two-pass) harvest option, time allocation is the main challenge and our evidence shows that with limited harvest field time available, farmers find it optimal to allocate most of their time harvesting grain and then proceed to harvest and bale stover if time permits at the end of harvest season. The overall findings suggest is that it would be more economically efficient to allow a firm that is specialized in collecting biomass feedstock to participate in cob/stover harvest business.« less

  11. Chemical migration by contact metamorphism between pegmatite/country rocks: natural analogs for radionuclides migration. [Black Hills, South Dakota

    SciTech Connect (OSTI)

    Laul, J.C.; Walker, R.J.; Shearer, C.K.; Papike, J.J.; Simon, S.B.

    1983-10-01

    Comparison of trace element signatures of country rocks as a function of distance from the contact with two pegmatites, Tin Mountain and Etta, in the Black Hills of South Dakota, suggests that some elements such as K, Li, Rb, Cs, As, Sb, Zn and Pb, have migrated to distances of 4 to 40 meters during contact metamorphism. The relative degree of migration varies depending on the element. On the other hand, there is virtually no migration of rare earth elements (REE), Al, Sc, Cr, Hf, U, and Th. Biotite and muscovite are effective trace element traps for Li, Rb and Cs. Biotite has a greater affinity for Rb, Cs and Li than muscovite.

  12. ,"North Dakota 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","North Dakota Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release

  13. ,"North Dakota 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","North Dakota Natural Gas, Wet After Lease Separation Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  14. ,"North Dakota 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","North Dakota Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015"

  15. Storm-water characterization and lagoon sediment analysis, Grand Forks Air Force Base, North Dakota. Final report

    SciTech Connect (OSTI)

    Garland, J.G.; Vaughn, R.W.; Scott, P.T.

    1990-08-01

    Sampling was conducted in the wastewater treatment lagoons and stormwater runoff at Grand Forks AFB. The base was concerned about whether the unlined lagoons were creating a potential groundwater contamination problem and whether their stormwater runoff met North Dakota state stream standards. Lagoon sediment did not contain Extraction Procedure hazardous chemicals. Stormwater runoff exceeded state standards for boron, phosphates, and phenols and contained trace levels of methylene chloride. Characterization of lagoon influent showed it to be generally representative of domestic sewage, but also contained trace levels of boron, phenols, toluene, cyanide, chloroform, methylene chloride and ethyl benzene.

  16. EIS-0478: Antelope Valley Station to Neset Transmission Project, Mercer, Dunn, Billings, Williams, McKenzie, and Mountrail Counties, North Dakota

    Broader source: Energy.gov [DOE]

    USDA Rural Utilities Service prepared an EIS that evaluates the potential environmental impacts of constructing, operating, and maintaining a proposed transmission line and associated facilities in western North Dakota. DOE’s Western Area Power Administration, a cooperating agency, would modify its existing Williston Substation to allow a connection of the proposed new transmission line to Western’s transmission system.

  17. DAKOTA, a multilevel parellel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis:version 4.0 uers's manual.

    SciTech Connect (OSTI)

    Griffin, Joshua D.; Eldred, Michael Scott; Martinez-Canales, Monica L.; Watson, Jean-Paul; Kolda, Tamara Gibson; Giunta, Anthony Andrew; Adams, Brian M.; Swiler, Laura Painton; Williams, Pamela J.; Hough, Patricia Diane; Gay, David M.; Dunlavy, Daniel M.; Eddy, John P.; Hart, William Eugene; Brown, Shannon L.

    2006-10-01

    The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a user's manual for the DAKOTA software and provides capability overviews and procedures for software execution, as well as a variety of example studies.

  18. EA-1943: Long Baseline Neutrino Facility/Deep Underground Neutrino Experiment (LBNF/DUNE) at Fermilab, Batavia, Illinois and the Sanford Underground Research Facility, Lead, South Dakota

    Broader source: Energy.gov [DOE]

    This EA evaluates the environmental impacts of using the existing Main Injector Accelerator at Fermilab to produce a pure beam of muon neutrinos. The neutrinos would be examined at a "near detector" proposed to be constructed at Fermilab, and at a "far detector," at the Sanford Underground Research Facility (SURF) in Lead, South Dakota. NOTE: This Project was previously designated (DOE/EA-1799).

  19. DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual.

    SciTech Connect (OSTI)

    Eldred, Michael Scott; Dalbey, Keith R.; Bohnhoff, William J.; Adams, Brian M.; Swiler, Laura Painton; Hough, Patricia Diane; Gay, David M.; Eddy, John P.; Haskell, Karen H.

    2010-05-01

    The DAKOTA (Design Analysis Kit for Optimization and Terascale Applications) toolkit provides a flexible and extensible interface between simulation codes and iterative analysis methods. DAKOTA contains algorithms for optimization with gradient and nongradient-based methods; uncertainty quantification with sampling, reliability, and stochastic finite element methods; parameter estimation with nonlinear least squares methods; and sensitivity/variance analysis with design of experiments and parameter study methods. These capabilities may be used on their own or as components within advanced strategies such as surrogate-based optimization, mixed integer nonlinear programming, or optimization under uncertainty. By employing object-oriented design to implement abstractions of the key components required for iterative systems analyses, the DAKOTA toolkit provides a flexible and extensible problem-solving environment for design and performance analysis of computational models on high performance computers. This report serves as a user's manual for the DAKOTA software and provides capability overviews and procedures for software execution, as well as a variety of example studies.

  20. EA-1943: Construction and Operation of the Long Baseline Neutrino Facility and Deep Underground Neutrino Experiment at Fermilab, Batavia, Illinois, and Sanford Underground Research Facility, Lead, South Dakota

    Broader source: Energy.gov [DOE]

    This EA evaluates the environmental impacts of using the existing Main Injector Accelerator at Fermilab to produce a pure beam of muon neutrinos. The neutrinos would be examined at a "near detector" proposed to be constructed at Fermilab, and at a "far detector," at the Sanford Underground Research Facility (SURF) in Lead, South Dakota. NOTE: This Project was previously designated (DOE/EA-1799).

  1. Plain Language Training | Department of Energy

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

    Plain Language Training Plain Language Training The Department has an active and popular Plain Language Training Program. Between April 2013 and March 2014, there were six Plain ...

  2. CLAMR (Compute Language Adaptive Mesh Refinement)

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

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

  3. JV Task-130 Technological Synergies for Recovery of Organic Pollutants from a Coal Seam at Garrison, North Dakota

    SciTech Connect (OSTI)

    Jaroslav Solc

    2009-03-15

    The Energy & Environmental Research Center (EERC) initiated remediation of hydrocarbon-contaminated soils and groundwater associated with gasoline release at the Farmers Union Oil station in Garrison, North Dakota. The remedial strategy implemented is based on application of two innovative concepts: (1) simultaneous operation of soil vapor and multiphase extraction systems allowing for water table control in challenging geotechnical conditions and (2) controlled hot-air circulation between injection and extraction wells to accelerated in situ volatilization and stripping of contaminants of concern (COC) alternatively using the same wells as either extraction or injection points. A proactive remedial approach is required to reduce high COC levels in the source and impacted areas and to eliminate long-term health risks associated with contaminant migration to water-bearing zones used as a regional water supply source. This report compiles results of Phase I focused on design, construction, and start-up of remediation systems.

  4. SUBTASK 1.7 EVALUATION OF KEY FACTORS AFFECTING SUCCESSFUL OIL PRODUCTION IN THE BAKKEN FORMATION, NORTH DAKOTA PHASE II

    SciTech Connect (OSTI)

    Darren D. Schmidt; Steven A. Smith; James A. Sorensen; Damion J. Knudsen; John A. Harju; Edward N. Steadman

    2011-10-31

    Production from the Bakken and Three Forks Formations continues to trend upward as forecasts predict significant production of oil from unconventional resources nationwide. As the U.S. Geological Survey reevaluates the 3.65 billion bbl technically recoverable estimate of 2008, technological advancements continue to unlock greater unconventional oil resources, and new discoveries continue within North Dakota. It is expected that the play will continue to expand to the southwest, newly develop in the northeastern and northwestern corners of the basin in North Dakota, and fully develop in between. Although not all wells are economical, the economic success rate has been near 75% with more than 90% of wells finding oil. Currently, only about 15% of the play has been drilled, and recovery rates are less than 5%, providing a significant future of wells to be drilled and untouched hydrocarbons to be pursued through improved stimulation practices or enhanced oil recovery. This study provides the technical characterizations that are necessary to improve knowledge, provide characterization, validate generalizations, and provide insight relative to hydrocarbon recovery in the Bakken and Three Forks Formations. Oil-saturated rock charged from the Bakken shales and prospective Three Forks can be produced given appropriate stimulation treatments. Highly concentrated fracture stimulations with ceramic- and sand-based proppants appear to be providing the best success for areas outside the Parshall and Sanish Fields. Targeting of specific lithologies can influence production from both natural and induced fracture conductivity. Porosity and permeability are low, but various lithofacies units within the formation are highly saturated and, when targeted with appropriate technology, release highly economical quantities of hydrocarbons.

  5. Agreement between the U.S. Department of Energy and the Czech Ministry of Industry and Trade for Cooperation in Civilian Nuclear Energy Research & Development

    Broader source: Energy.gov [DOE]

    The DOE-MOIT R&D agreement establishes a legal framework for comprehensive cooperation between the U.S. DOE and the Czech MOIT on civilian nuclear energy R&D.

  6. Standing Rock Sioux Tribe - Lakota/Dakota Nation Feasibility Study Supporting Wind Development and Establishment of Renewable Energy and Energy Development Office

    Energy Savers [EERE]

    (Washee Zee) 701-854-3437 fwasinzi@standingrock.org Standing Rock Sioux Tribe - Lakota/Dakota Nation  BACKGROUND INFORMATION ON STANDING ROCK RESERVATION  SITTING BULL COLLEGE WIND TURBINE  EECBG ENERGY EFFICIENCY & WIND TURBINE INSTALLATION AT SITTING BULL COLLEGE  WIND ASSESSMENT STUDY  ESTABLISHMENT OF RENEWABLE ENERGY & ENERGY DEVELOPMENT OFFICE (REEDO)  WIND FEASIBILITY STUDY  OCETI SAKOWIN POWER PROJECT  ONE OF SEVEN RESERVATIONS OF THE GREAT SIOUX NATION

  7. Plain Language Training Classes | Department of Energy

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

    Plain Language Training Classes Plain Language Training Classes February 18, 2016 7:30AM to 10:30AM MST Plain Language Training Classes When you write, do you write what you want ...

  8. Enhanced oil recovery by CO/sub 2/ miscible displacement in the Little Knife Field, Billings County, North Dakota

    SciTech Connect (OSTI)

    Desch, J.B.; Larsen, W.K.; Lindsay, R.F.; Nettle, R.L.

    1982-01-01

    A CO/sub 2/ minitest employing the miscible displacement process was conducted in the Mission Canyon Formation (lower Mississippian) at Little Knife Field, North Dakota. The Mission Canyon is a dolomitized carbonate reservoir which is undergoing primary depletion. Four wells were drilled in an inverted four-spot configuration, covering five acres. The central well served as the injection well and was surrounded by three non-producing observation wells. A WAG-type injection sequence utilized five alternate slugs of formation water and CO/sub 2/. Preflush injection began December 11, 1980, followed by the WAG slugs from January 7 to March 25, 1981. Drive water injection commenced immediately and was completed on September 24, 1981. Injection rates were maintained at 1150 B/D during water injection and 40 T/D during CO/sub 2/ injection. Tracers were used during the waterflood preflush and with the water during the WAG. A pressure core behind the flood front was obtained to confirm residual-oil saturations in the project interval. Overall rock recovery was excellent, 90%, but sample recovery under reservoir pressure was less than anticipated. Invasion of drilling fluids during coring was checked by introduction of a radioactive tracer into the coring fluid. Project analysis is still ongoing and once completed, the simulation models will be updated and used to predict field-wide applicability. (JMT)

  9. Mass transfer during wall-rock alteration: An example from a quartz-graphite vein, Black Hills, South Dakota

    SciTech Connect (OSTI)

    Galbreath, K.C.; Duke, E.F.; Papike, J.J. ); Laul, J.C. )

    1988-07-01

    Mass transfer and fluid-rock interaction have been evaluated along two sample traverses in low-sillimanite grade quartz-mica schist adjacent to a synmetamorphic quartz-graphite vein in the southern Black Hills, South Dakota. In an {approximately}17 cm halo between apparently unaltered schist and the vein contact is an outer zone of cryptic alteration and three inner zones of visible alteration. The cryptic zone consists of the original prograde metamorphic mineral assemblage plus anomalously high amounts of tourmaline. The outermost visible zone contains abundant graphite. The second visible zone is defined by intensive bleaching of the schist. The innermost visible zone, immediately adjacent to the vein, is tourmaline + quartz + plagioclase + limonite + graphite. The vein is composed almost entirely of quartz, but also contains trace amounts of graphite. Mass balance calculations indicate that Al was essentially inert. The predominant chemical changes during wall-rock alteration were addition of B and C from the vein-forming fluid along with loss of K from the wall rocks, corresponding to precipitation of tourmaline and graphite, and the progressive destruction of microcline, biotite, and muscovite toward the vein. In addition, the elements V, Cr, Cu, Zn, Pb, As, Sb, W, and Au were introduced into the country rock, whereas Si, Rb, Ba, and Cs were removed. Fluid-rock interaction modeling suggests that between one and four equivalent masses of fluid interacted chemically with the most altered mineral assemblages. In addition, greater than one equivalent mass of reactive fluid penetrated to distances of at least 5 cm from the vein contact.

  10. Little Knife Field CO/sub 2/ minitest, Billings County, North Dakota. Final report. Volume 1. Technical report

    SciTech Connect (OSTI)

    Upton, J.E.

    1983-07-01

    A carbon dioxide minitest was conducted in the Mission Canyon Formation (lower Mississippian) at Little Knife Field, North Dakota. The Mission Canyon is a dolomitized carbonate reservoir which is undergoing primary depletion. Four wells were drilled in an inverted four-spot configuration, covering five acres. The central well served as the injection well and was surrounded by three non-producing observation wells. Oriented cores were cut in each well for detailed reservoir characterization and laboratory testing. In addition, a well test program was conducted which involved two pulse tests and injectivity tests on the individual wells. Results from these tests were used as part of the input data for two reservoir simulation models. Various parameters in the computer models were varied to determine the most efficient injection plan for the specific reservoir characteristics. The pattern sweep efficiency for carbon dioxide approached 52 percent in the minitest area. Displacement efficiency, as indicated by simulation study, was 50 percent of the oil-in-place at the start of the project, compared with an efficiency of 37 percent for waterflood. Thirty-one hundred cubic feet of CO/sub 2/ were required per incremental barrel of displaced oil. The absence of producing wells and the fact that only one zone within the Mission Canyon Formation was flooded, favorably influenced these figures. The Little Knife CO/sub 2/ minitest confirmed, by field testing, the results of laboratory CO/sub 2/ miscible displacement tests. The minitest indicated that the CO/sub 2/ miscible displacement process has technical potential for commercialization in a dolomitized carbonate reservoir that has not been extensively waterflooded and has an indicated high remaining oil saturation. 159 figures, 46 tables.

  11. L3 Interactive Data Language

    Energy Science and Technology Software Center (OSTI)

    2006-09-05

    The L3 system is a computational steering environment for image processing and scientific computing. It consists of an interactive graphical language and interface. Its purpose is to help advanced users in controlling their computational software and assist in the management of data accumulated during numerical experiments. L3 provides a combination of features not found in other environments; these are: - textual and graphical construction of programs - persistence of programs and associated data - directmore » mapping between the scripts, the parameters, and the produced data - implicit hierarchial data organization - full programmability, including conditionals and functions - incremental execution of programs The software includes the l3 language and the graphical environment. The language is a single-assignment functional language; the implementation consists of lexer, parser, interpreter, storage handler, and editing support, The graphical environment is an event-driven nested list viewer/editor providing graphical elements corresponding to the language. These elements are both the represenation of a users program and active interfaces to the values computed by that program.« less

  12. Slide 1 | Department of Energy

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

    South Dakota

  13. Sample Contract Language for Construction Using Energy-Efficient...

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

    Sample Contract Language for Construction Using Energy-Efficient Products Sample Contract Language for Construction Using Energy-Efficient Products Document covers sample language ...

  14. Conference on alternatives for pollution control from coal-fired low emission sources, Plzen, Czech Republic. Plzen Proceedings

    SciTech Connect (OSTI)

    Not Available

    1994-07-01

    The Conference on Alternatives for Pollution Control from Coal-Fired Emission Sources presented cost-effective approaches for pollution control of low emission sources (LES). It also identified policies and strategies for implementation of pollution control measures at the local level. Plzen, Czech Republic, was chosen as the conference site to show participants first hand the LES problems facing Eastern Europe today. Collectively, these Proceedings contain clear reports on: (a) methods for evaluating the cost effectiveness of alternative approaches to control pollution from small coal-fired boilers and furnaces; (b) cost-effective technologies for controlling pollution from coal-fired boilers and furnaces; (c) case studies of assessment of cost effective pollution control measures for selected cities in eastern Europe; and (d) approaches for actually implementing pollution control measures in cities in Eastern Europe. It is intended that the eastern/central European reader will find in these Proceedings useful measures that can be applied to control emissions and clean the air in his city or region. The conference was sponsored by the United States Agency for International Development (AID), the United States Department of Energy (DOE), and the Czech Ministry of Industry and Trade. Selected papers have been indexed separately for inclusion in the Energy Science and Technology Database.

  15. JV Task 109 - Risk Assessment and Feasibility of Remedial Alternatives for Coal Seam at Garrison, North Dakota

    SciTech Connect (OSTI)

    Jarda Solc

    2008-01-01

    The Energy & Environmental Research Center (EERC) conducted an evaluation of alternative technologies for remediation of hydrocarbon-contaminated coal seam, including impacted soils and groundwater in Garrison, North Dakota. Geotechnical characteristics of the impacted fractured coal seam provide for rapid off-site contaminant transport, with the currently identified impacted zone covering an area of about 40 acres. Regardless of the exposure mechanism (free, dissolved, or vapor phase), results of laboratory tests confirmed secondary release of gasoline-based compounds from contaminated coal to water reaching concentrations documented from the impacted areas. Coal laboratory tests confirmed low risks associated with spontaneous ignition of gasoline-contaminated coal. High contaminant recovery efficiency for the vacuum-enhanced recovery pilot tests conducted at three selected locations confirmed its feasibility for full-scale remediation. A total of 3500 gallons (13.3 m{sup 3}) of contaminated groundwater and over 430,000 ft{sup 3} (12,200 m{sup 3}) of soil vapor were extracted during vacuum-enhanced recovery testing conducted July 17-24, 2007, resulting in the removal of about 1330 lb (603 kg) of hydrocarbons, an equivalent of about 213 gallons of product. The summary of project activities is as follows: (1) Groundwater and vapor monitoring for existing wells, including domestic wells, conducted on a monthly basis from December 12, 2006, to June 6, 2007. This monitoring activity conducted prior to initiation of the EERC field investigation was requested by NDDH in a letter dated December 1, 2006. (2) Drilling of 20 soil borings, including installation of extraction and monitoring wells conducted April 30-May 4 and May 14-18, 2007. (3) Groundwater sampling and water-table monitoring conducted June 11-13, 2007. (4) Evaluation of the feasibility of using a camera survey for delineation of mining voids conducted May 16 and September 10-11, 2007. (5) Survey of all wells at the site. (6) Laboratory testing of the coal samples conducted from August to October 2007. (7) Vacuum-enhanced pilot tests at three locations: Cenex corner, Tesoro corner, and cavity area, conducted July 17-24, 2007. (8) Verification of plume delineation for a full-scale design and installation of six monitoring wells September 10-13, 2007. (9) Groundwater sampling and monitoring conducted September 11-12, September 26, and October 3, 2007. (10) Feasibility evaluation of alternative technologies/strategies for the subject site.

  16. Extension Modules for the Python Interpretive language

    Energy Science and Technology Software Center (OSTI)

    2006-12-29

    Python is an interpreted computer language, freely available to all, which may be extended by user developed "modules". These modules ay be written in a complied language such as 'C', and then linked into the Python program

  17. PGAS Language Codes (UPC, Coarray Fortran)

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

    Unified Parallel C is a partitioned global address space (PGAS) language and an extension of the C programming language. It is designed for HPC systems and allows the programmer to ...

  18. Language of a fly proves surprising

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

    Language of a fly proves surprising Language of a fly proves surprising Researchers has developed a novel way to view the world through the eyes of a common fly and partially...

  19. Guidance on Alternative Contract Language Regarding Energy Savings...

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

    Contract Language Regarding Energy Savings Performance Contract Terminations and Cancellations Guidance on Alternative Contract Language Regarding Energy Savings ...

  20. QA Standard Contract Language | Department of Energy

    Energy Savers [EERE]

    Standard Contract Language QA Standard Contract Language The success of the Office of Environmental Management (EM) depends upon the extent of its products and services to satisfy customer requirements and expectations. PDF icon QA Standard Contract Language More Documents & Publications Requirements Flowdown and Graded Approach to QA Focus Group Meeting (Topical Meeting) QA Corporate Board Meeting - March 2009

  1. 1993 International conference on nuclear waste management and environmental remediation, Prague, Czech Republic, September 5--11, 1993. Combined foreign trip report

    SciTech Connect (OSTI)

    Slate, S.C.; Allen, R.E.

    1993-12-01

    The purpose of the trip was to attend the 1993 International Conference on Nuclear Waste Management and Environmental Remediation. The principal objective of this conference was to facilitate a truly international exchange of information on the management of nuclear wastes as well as contaminated facilities and sites emanating from nuclear operations. The conference was sponsored by the American Society of Mechanical Engineers, the Czech and Slovak Mechanical Engineering Societies, and the Czech and Slovak Nuclear Societies in cooperation with the Commission of the European Communities, the International Atomic Energy Agency, and the OECD Nuclear Agency. The conference was cosponsored by the American Nuclear Society, the Atomic Energy Society of Japan, the Canadian Nuclear Society, the (former USSR) Nuclear Society, and the Japan Society of Mechanical Engineers. This was the fourth in a series of biennial conferences, which started in Hong Kong, in 1987. This report summarizes shared aspects of the trip; however, each traveler`s observations and recommendations are reported separately.

  2. Successful Completion of the Largest Shipment of Russian Research Reactor High-Enriched Uranium Spent Nuclear Fuel from Czech Republic to Russian Federation

    SciTech Connect (OSTI)

    Michael Tyacke; Dr. Igor Bolshinsky; Jeff Chamberlin

    2008-07-01

    On December 8, 2007, the largest shipment of high-enriched uranium spent nuclear fuel was successfully made from a Russian-designed nuclear research reactor in the Czech Republic to the Russian Federation. This accomplishment is the culmination of years of planning, negotiations, and hard work. The United States, Russian Federation, and the International Atomic Energy Agency have been working together on the Russian Research Reactor Fuel Return (RRRFR) Program in support of the Global Threat Reduction Initiative. In February 2003, RRRFR Program representatives met with the Nuclear Research Institute in Re, Czech Republic, and discussed the return of their high-enriched uranium spent nuclear fuel to the Russian Federation for reprocessing. Nearly 5 years later, the shipment was made. This paper discusses the planning, preparations, coordination, and cooperation required to make this important international shipment.

  3. The changing character of household waste in the Czech Republic between 1999 and 2009 as a function of home heating methods

    SciTech Connect (OSTI)

    Dolealov, Markta; Beneov, Libue; Zvodsk, Anita

    2013-09-15

    Highlights: The character of household waste in the three different types of households were assesed. The quantity, density and composition of household waste were determined. The physicochemical characteristics were determined. The changing character of household waste during past 10 years was described. The potential of energy recovery of household waste in Czech republic was assesed. - Abstract: The authors of this paper report on the changing character of household waste, in the Czech Republic between 1999 and 2009 in households differentiated by their heating methods. The data presented are the result of two projects, financed by the Czech Ministry of Environment, which were undertaken during this time period with the aim of focusing on the waste characterisation and complete analysis of the physicochemical properties of the household waste. In the Czech Republic, the composition of household waste varies significantly between different types of households based on the methods of home heating employed. For the purposes of these studies, the types of homes were divided into three categories urban, mixed and rural. Some of the biggest differences were found in the quantities of certain subsample categories, especially fine residue (matter smaller than 20 mm), between urban households with central heating and rural households that primarily employ solid fuel such coal or wood. The use of these solid fuels increases the fraction of the finer categories because of the higher presence of ash. Heating values of the residual household waste from the three categories varied very significantly, ranging from 6.8 MJ/kg to 14.2 MJ/kg in 1999 and from 6.8 MJ/kg to 10.5 MJ/kg in 2009 depending on the type of household and season. The same factors affect moisture of residual household waste which varied from 23.2% to 33.3%. The chemical parameters also varied significantly, especially in the quantities of Tl, As, Cr, Zn, Fe and Mn, which were higher in rural households. Because knowledge about the properties of household waste, as well as its physicochemical characteristics, is very important not only for future waste management, but also for the prediction of the behaviour and influence of the waste on the environment as the country continues to streamline its legislation to the European Unions solid waste mandates, the results of these studies were employed by the Czech Ministry of Environment to optimise the national waste management strategy.

  4. Multi-language Struct Support in Babel

    SciTech Connect (OSTI)

    Ebner, D; Prantl, A; Epperly, T W

    2011-03-22

    Babel is an open-source language interoperability framework tailored to the needs of high-performance scientific computing. As an integral element of the Common Component Architecture (CCA) it is used in a wide range of research projects. In this paper we describe how we extended Babel to support interoperable tuple data types (structs). Structs are a common idiom in scientific APIs; they are an efficient way to pass tuples of nonuniform data between functions, and are supported natively by most programming languages. Using our extended version of Babel, developers of scientific code can now pass structs as arguments between functions implemented in any of the supported languages. In C, C++ and Fortran 2003, structs can be passed without the overhead of data marshaling or copying, providing language interoperability at minimal cost. Other supported languages are Fortran 77, Fortran 90, Java and Python. We will show how we designed a struct implementation that is interoperable with all of the supported languages and present benchmark data compare the performance of all language bindings, highlighting the differences between languages that offer native struct support and an object-oriented interface with getter/setter methods.

  5. A Fast Dynamic Language for Technical Computing Stefan Karpinski...

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

    Fast Dynamic Language for Technical Computing Stefan Karpinski, Jeff Bezanson, Viral B. Shah & Alan Edelman u a l j i Two Language Problem People love dynamic environments for...

  6. Cyber Security Procurement Language for Control Systems Version...

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

    Procurement Language for Control Systems Version 1.8 Cyber Security Procurement Language for Control Systems Version 1.8 Supervisory Control and Data Acquisition (SCADA), Process ...

  7. Constructing Hardware in a Scale Embedded Language

    Energy Science and Technology Software Center (OSTI)

    2014-08-21

    Chisel is a new open-source hardware construction language developed at UC Berkeley that supports advanced hardware design using highly parameterized generators and layered domain-specific hardware languages. Chisel is embedded in the Scala programming language, which raises the level of hardware design abstraction by providing concepts including object orientation, functional programming, parameterized types, and type inference. From the same source, Chisel can generate a high-speed C++-based cycle-accurate software simulator, or low-level Verilog designed to pass onmore » to standard ASIC or FPGA tools for synthesis and place and route.« less

  8. UPC Language Specifications V1.2

    SciTech Connect (OSTI)

    UPC Consortium

    2005-05-31

    UPC is an explicitly parallel extension to the ISO C 99Standard. UPC follows the partitioned global address space programming model. This document is the formal specification for the UPC language syntax and semantics.

  9. A common language for computer security incidents

    SciTech Connect (OSTI)

    John D. Howard; Thomas A Longstaff

    1998-10-01

    Much of the computer security information regularly gathered and disseminated by individuals and organizations cannot currently be combined or compared because a common language has yet to emerge in the field of computer security. A common language consists of terms and taxonomies (principles of classification) which enable the gathering, exchange and comparison of information. This paper presents the results of a project to develop such a common language for computer security incidents. This project results from cooperation between the Security and Networking Research Group at the Sandia National Laboratories, Livermore, CA, and the CERT{reg_sign} Coordination Center at Carnegie Mellon University, Pittsburgh, PA. This Common Language Project was not an effort to develop a comprehensive dictionary of terms used in the field of computer security. Instead, the authors developed a minimum set of high-level terms, along with a structure indicating their relationship (a taxonomy), which can be used to classify and understand computer security incident information. They hope these high-level terms and their structure will gain wide acceptance, be useful, and most importantly, enable the exchange and comparison of computer security incident information. They anticipate, however, that individuals and organizations will continue to use their own terms, which may be more specific both in meaning and use. They designed the common language to enable these lower-level terms to be classified within the common language structure.

  10. Timing of the deposition of uppermost Cretaceous and Paleocene coal-bearing deposits in the Greater Glendive area, Montana and North Dakota

    SciTech Connect (OSTI)

    1996-02-01

    With the aid of a grant from the National Geographic Society, a cooperative agreement with the State University of New York at Stony Brook, and contract with the U.S. Department of Energy, Late Cretaceous and Paleocene geologic and paleontologic field studies were undertaken in Makoshika, State Park and vicinity, Dawson County, Montana. This region was chosen as a study area because of its potential for yielding new fossil localities and extensive exposures both above and below the K/T boundary, as suggested by previous research by David W. Krause and Joseph H. Hartman. Related field studies were also undertaken in areas adjacent to the Cedar Creek Anticline in North Dakota. This work was part of ongoing research to document change in the composition of mammalian and molluscan faunas during the Late Cretaceous and Paleocene and to relate observed patterns to floral and invertebrate changes in composition. This study focuses on the record of mammals and mollusks in the Makoshika stratigraphic section and places old and new observations into a paleomagnetic and palynomorph framework. Of particular interest is the appearance and diversification of archaic ungulate mammals. Simultaneous dinosaur extinction with ungulate radiation has been invoked in gradual, as opposed to catastrophic, models of faunal change at the K/T boundary. However, supposed Cretaceous localities bearing archaic ungulates and other mammals of {open_quotes}Paleocene aspect{close_quotes} may be the product of faunal reworking. Elsewhere in the Williston Basin (e.g., Garfield and McCone Counties, Montana), the molluscan record of uppermost Cretaceous and Paleocene strata indicates the extinction of all of the highly sculptured unionid bivalves just prior to the onset of coal swamps and subsequent coal formation.

  11. Exploring HPCS Languages in Scientific Computing

    SciTech Connect (OSTI)

    Barrett, Richard F; Alam, Sadaf R; de Almeida, Valmor F; Bernholdt, David E; Elwasif, Wael R; Kuehn, Jeffery A; Poole, Stephen W; Shet, Aniruddha G

    2008-01-01

    As computers scale up dramatically to tens and hundreds of thousands of cores, develop deeper computational and memory hierarchies, and increased heterogeneity, developers of scientific software are increasingly challenged to express complex parallel simulations effectively and efficiently. In this paper, we explore the three languages developed under the DARPA High-Productivity Computing Systems (HPCS) program to help address these concerns: Chapel, Fortress, and X10. These languages provide a variety of features not found in currently popular HPC programming environments and make it easier to express powerful computational constructs, leading to new ways of thinking about parallel programming. Though the languages and their implementations are not yet mature enough for a comprehensive evaluation, we discuss some of the important features, and provide examples of how they can be used in scientific computing. We believe that these characteristics will be important to the future of high-performance scientific computing, whether the ultimate language of choice is one of the HPCS languages or something else.

  12. SolarBridge Technologies: Helping Solar Modules Speak the Language...

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

    SolarBridge Technologies: Helping Solar Modules Speak the Language of the Energy Grid SolarBridge Technologies: Helping Solar Modules Speak the Language of the Energy Grid June 5, ...

  13. Contract Language for Energy-Consuming Product Purchases | Department of

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

    Energy Products & Technologies » Energy-Efficient Products » Contract Language for Energy-Consuming Product Purchases Contract Language for Energy-Consuming Product Purchases Federal agencies are required to use specific contract language when purchasing energy-consuming products that are qualified by ENERGY STAR or designated by the Federal Energy Management Program (FEMP). See energy-efficient product purchasing requirements. Federal Acquisition Regulation Contract Language Federal

  14. Recommendation 186: Option Periods in Prime Contract Language

    Broader source: Energy.gov [DOE]

    The inclusion of option periods in the language of all future DOE Request for Proposals for prime contracts when appropriate.

  15. South Dakota-North Dakota Natural Gas Plant Processing

    Gasoline and Diesel Fuel Update (EIA)

    2012 2013 2014 View History Natural Gas Processed (Million Cubic Feet) 113 86 71 2012-2014 Total Liquids Extracted (Thousand Barrels) 23 19 16 2012-2014 NGPL Production, Gaseous Equivalent (Million Cubic Feet) 21 2014

  16. North Dakota-North Dakota Natural Gas Plant Processing

    Gasoline and Diesel Fuel Update (EIA)

    11,925 177,995 231,935 301,661 2011-2014 Total Liquids Extracted (Thousand Barrels) 17,895 24,546 34,872 2012-2014 NGPL Production, Gaseous Equivalent (Million Cubic Feet) 48,504

  17. Montana-Dakota Utilities Co (South Dakota) | Open Energy Information

    Open Energy Info (EERE)

    Outage Hotline: 1-800-638-3278 References: Energy Information Administration.1 EIA Form 861 Data Utility Id 12199 This article is a stub. You can help OpenEI...

  18. Montana-Dakota Utilities Co (South Dakota) | Open Energy Information

    Open Energy Info (EERE)

    1,944 46 693 25 901 10,059 8,559 2008-03 612 6,451 6,584 469 5,566 1,922 51 741 25 1,132 12,758 8,531 2008-03 612 6,451 6,584 469 5,566 1,922 51 741 25 1,132 12,758 8,531...

  19. Flexible Language Constructs for Large Parallel Programs

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

    Rosing, Matt; Schnabel, Robert

    1994-01-01

    The goal of the research described in this article is to develop flexible language constructs for writing large data parallel numerical programs for distributed memory (multiple instruction multiple data [MIMD]) multiprocessors. Previously, several models have been developed to support synchronization and communication. Models for global synchronization include single instruction multiple data (SIMD), single program multiple data (SPMD), and sequential programs annotated with data distribution statements. The two primary models for communication include implicit communication based on shared memory and explicit communication based on messages. None of these models by themselves seem sufficient to permit the natural and efficient expression ofmore » the variety of algorithms that occur in large scientific computations. In this article, we give an overview of a new language that combines many of these programming models in a clean manner. This is done in a modular fashion such that different models can be combined to support large programs. Within a module, the selection of a model depends on the algorithm and its efficiency requirements. In this article, we give an overview of the language and discuss some of the critical implementation details.« less

  20. Preparation of the Second Shipment of Spent Nuclear Fuel from the Ustav Jaderneho Vyzkumu Rez (UJV Rez), a.s., Czech Republic to the Russian Federation for Reprocessing - 13478

    SciTech Connect (OSTI)

    Trtilek, Radek; Podlaha, Josef [UJV Rez, a. s., Hlavni 130, 25068 Husinec-Rez (Czech Republic)] [UJV Rez, a. s., Hlavni 130, 25068 Husinec-Rez (Czech Republic)

    2013-07-01

    After more than 50 years of operation of the LVR-15 research reactor operated by the UJV Rez, a. s. (formerly Nuclear Research Institute - NRI), a large amount of the spent nuclear fuel (SNF) of Russian origin has been accumulated. In 2005 UJV Rez, a. s. jointed the Russian Research Reactor Fuel Return (RRRFR) program under the United States (US) - Russian Global Threat Reduction Initiative (GTRI) and started the process of SNF shipment from the LVR-15 research reactor back to the Russian Federation (RF). In 2007 the first shipment of SNF was realized. In 2011, preparation of the second shipment of spent fuel from the Czech Republic started. The experience obtained from the first shipment will be widely used, but some differences must be taken into the account. The second shipment will be realized in 2013 and will conclude the return transport of all, both fresh and spent, high-enriched nuclear fuel from the Czech Republic to the Russian Federation. After the shipment is completed, there will be only low-enriched nuclear fuel on the territory of the Czech Republic, containing maximum of 20% of U-235, which is the conventionally recognized limit between the low- and high-enriched nuclear materials. The experience (technical, organizational, administrative, logistic) obtained from the each SNF shipment as from the Czech Republic as from other countries using the Russian type research reactors are evaluated and projected onto preparation of next shipment of high enriched nuclear fuel back to the Russian Federation. The results shown all shipments provided by the UJV Rez, a. s. in the frame of the GTRI Program have been performed successfully and safely. It is expected the experience and results will be applied to preparation and completing of the Chinese Miniature Neutron Source Reactors (MNSR) Spent Nuclear Fuel Repatriation in the near future. (authors)

  1. South Dakota Natural Gas Prices

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

    2010 2011 2012 2013 2014 2015 View History Wellhead Price NA 1979-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 5.54 5.21 4.67 4.83 6.14 4.17 1984-2015 Residential Price 8.77 8.59 8.39 8.23 9.27 8.21 1967-2015 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2015 Commercial Price 7.13 6.98 6.45 6.59 7.65 6.11 1967-2015 Percentage of Total Commercial Deliveries included in Prices 80.9 81.7 81.6 81.6 81.6 81.0 1990-2015

  2. South Dakota Natural Gas Prices

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

    Sep-15 Oct-15 Nov-15 Dec-15 Jan-16 Feb-16 View History Citygate Price 4.53 3.84 3.87 3.72 3.61 3.71 1989-2016 Residential Price 14.21 10.32 7.95 6.56 6.28 6.57 1989-2016 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 2002-2016 Commercial Price 7.07 5.68 5.27 5.29 4.99 5.31 1989-2016 Percentage of Total Commercial Deliveries included in Prices 69.1 75.5 80.8 83.0 84.7 82.6 1989-2016 Industrial Price 5.63 4.78 4.25 4.25 4.34 4.02 2001-2016

  3. South Dakota Natural Gas Summary

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

    53 3.84 3.87 3.72 3.61 3.71 1989-2016 Residential 14.21 10.32 7.95 6.56 6.28 6.57 1989-2016 Commercial 7.07 5.68 5.27 5.29 4.99 5.31 1989-2016 Industrial 5.63 4.78 4.25 4.25 4.34 4.02 2001-2016 Electric Power 3.31 2.90 2.92 2.25 2.57 2.08 2002-2016 Production (Million Cubic Feet) Gross Withdrawals NA NA NA NA NA NA 1991-2016 From Gas Wells NA NA NA NA NA NA 1991-2016 From Oil Wells NA NA NA NA NA NA 1991-2016 From Shale Gas Wells NA NA NA NA NA NA 2007-2016 From Coalbed Wells NA NA NA NA NA NA

  4. North Dakota Natural Gas Summary

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

    2 1967-2010 Imports 4.41 4.04 2.72 3.59 5.00 1994-2014 Exports -- -- -- -- 14.71 1999-2014 Pipeline and Distribution Use 1967-2005 Citygate 5.50 5.06 4.43 4.99 6.37 4.46 1984-2015 Residential 8.08 8.10 7.43 7.43 8.86 NA 1967-2015 Commercial 7.03 7.00 6.04 6.32 7.74 NA 1967-2015 Industrial 5.22 5.10 4.48 4.14 5.61 3.14 1997-2015 Vehicle Fuel 8.84 8.08 6.17 1990-2012 Electric Power 6.51 8.66 6.44 -- 4.08 2.89 1997-2015 Dry Proved Reserves (Billion Cubic Feet) Proved Reserves as of 12/31 1,667

  5. South Dakota Natural Gas Summary

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

    NA 1979-2010 Pipeline and Distribution Use 1967-2005 Citygate 5.54 5.21 4.67 4.83 6.14 4.17 1984-2015 Residential 8.77 8.59 8.39 8.23 9.27 8.21 1967-2015 Commercial 7.13 6.98 6.45 6.59 7.65 6.11 1967-2015 Industrial 5.92 6.25 5.37 5.67 6.88 4.98 1997-2015 Vehicle Fuel -- -- -- 1991-2012 Electric Power 5.50 5.04 3.54 4.35 4.98 3.31 1998-2015 Production (Million Cubic Feet) Number of Producing Gas Wells 102 100 95 65 68 1989-2014 Gross Withdrawals 12,540 12,449 15,085 16,205 15,307 1967-2014 From

  6. North Dakota Natural Gas Prices

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

    Pipeline and Distribution Use Price 1967-2005 Citygate Price 5.50 5.06 4.43 4.99 6.37 4.46 1984-2015 Residential Price 8.08 8.10 7.43 7.43 8.86 NA 1967-2015 Percentage of Total ...

  7. ,"South Dakota Natural Gas Prices"

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

    Date:","04292016" ,"Excel File Name:","ngprisumdcussdm.xls" ,"Available from Web Page:","http:www.eia.govdnavngngprisumdcussdm.htm" ,"Source:","Energy ...

  8. ,"North Dakota Natural Gas Prices"

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

    Date:","04292016" ,"Excel File Name:","ngprisumdcusndm.xls" ,"Available from Web Page:","http:www.eia.govdnavngngprisumdcusndm.htm" ,"Source:","Energy ...

  9. North Dakota Natural Gas Prices

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

    Sep-15 Oct-15 Nov-15 Dec-15 Jan-16 Feb-16 View History Citygate Price 5.00 4.58 4.16 3.94 3.76 3.84 1989-2016 Residential Price NA 9.60 6.57 5.61 5.51 5.62 1989-2016 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 2002-2016 Commercial Price 7.91 NA 5.68 5.23 5.26 5.22 1989-2016 Percentage of Total Commercial Deliveries included in Prices 87.0 NA 93.2 94.3 94.6 94.4 1989-2016 Industrial Price 2.81 2.76 2.58 2.88 2.43 2.83 2001-2016 Percentage of

  10. North Dakota Proved Nonproducing Reserves

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

    63 969 1,421 2,207 3,278 3,456 1996-2014 Lease Condensate (million bbls) 8 42 6 6 0 1 1998-2014 Total Gas (billion cu ft) 510 920 1,324 2,360 3,619 3,559 1996-2014 Nonassociated Gas (billion cu ft) 23 20 18 9 2 3 1996-2014 Associated Gas (billion cu ft) 487 900 1,306 2,351 3,617 3,55

  11. North Dakota Natural Gas Summary

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

    5.00 4.58 4.16 3.94 3.76 3.84 1989-2016 Residential NA 9.60 6.57 5.61 5.51 5.62 1989-2016 Commercial 7.91 NA 5.68 5.23 5.26 5.22 1989-2016 Industrial 2.81 2.76 2.58 2.88 2.43 2.83 2001-2016 Electric Power 3.09 2.67 2.08 2.07 2.45 2.22 2002-2016 Production (Million Cubic Feet) Gross Withdrawals 47,895 50,958 49,659 51,265 50,019 47,916 1991-2016 From Gas Wells NA NA NA NA NA NA 1991-2016 From Oil Wells NA NA NA NA NA NA 1991-2016 From Shale Gas Wells NA NA NA NA NA NA 2007-2016 From Coalbed Wells

  12. ,"North Dakota Natural Gas Summary"

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

    5,"Monthly","22016","1151989" ,"Data 2","Production",10,"Monthly","22016","1151989" ,"Data 3","Consumption",6,"Monthly","22016","1151989" ,"Release Date:","4292016" ...

  13. ,"South Dakota Natural Gas Summary"

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

    5,"Monthly","22016","1151989" ,"Data 2","Production",10,"Monthly","22016","1151991" ,"Data 3","Consumption",6,"Monthly","22016","1151989" ,"Release Date:","4292016" ...

  14. Sample Contract Language for Construction Using Energy-Efficient Products |

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

    Department of Energy Sample Contract Language for Construction Using Energy-Efficient Products Sample Contract Language for Construction Using Energy-Efficient Products Document covers sample language that federal agencies can use in contracts specifying or purchasing energy-efficient products in construction projects. This includes the following products qualified by ENERGY STAR or designated by the Federal Energy Management Program: Air conditioners Ballasts Boilers Chillers Doors Electric

  15. Assessing group interaction with social language network analysis.

    SciTech Connect (OSTI)

    Pennebaker, James; Scholand, Andrew Joseph; Tausczik, Yla R.

    2010-04-01

    In this paper we discuss a new methodology, social language network analysis (SLNA), that combines tools from social language processing and network analysis to assess socially situated working relationships within a group. Specifically, SLNA aims to identify and characterize the nature of working relationships by processing artifacts generated with computer-mediated communication systems, such as instant message texts or emails. Because social language processing is able to identify psychological, social, and emotional processes that individuals are not able to fully mask, social language network analysis can clarify and highlight complex interdependencies between group members, even when these relationships are latent or unrecognized.

  16. EM Conducts Third Annual Spanish Language Training with Record...

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

    Fire Training Institute and the San Diego Fire Department. The third annual Spanish language program, which involves 16 hours of training, attracted 45 emergency responders from...

  17. Guidance on Alternative Contract Language Regarding Energy Savings...

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

    Guidance on Alternative Contract Language Regarding Energy Savings Performance Contract Terminations and Cancellations Prepared by the U.S. Department of Energy Federal Energy ...

  18. Browse Societies by Language -- E-print Network Societies by...

    Office of Scientific and Technical Information (OSTI)

    If you wish to view societies in another language, please select from the following options. Chinese Dutch English French German Italian Japanese Nordic Spanish and Portuguese ...

  19. Network Markup Language Base Schema version 1

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

    GFD-R-P.206 NML-WG nml-wg@ogf.org Jeroen van der Ham, UvA (editor) Freek Dijkstra, SURFsara Roman Łapacz, PSNC Jason Zurawski, Internet2 May 2013 Network Markup Language Base Schema version 1 Status of This Document Grid Final Draft (GFD), Proposed Recommendation (R-P). Copyright Notice Copyright c Open Grid Forum (2008-2013). Some Rights Reserved. Distribution is unlim- ited. Abstract This document describes a set of normative schemas which allow the description of computer network topologies.

  20. Languages and interfaces for facial animation

    SciTech Connect (OSTI)

    Magnenat-Thalmann, N.

    1995-05-01

    This paper describes high-level tools for specifying, controlling, and synchronizing temporal and spatial characteristics for 3D animation of facial expressions. The proposed approach consists of hierarchical levels of controls. Specification of expressions, phonemes, emotions, sentences, and head movements by means of a high-level language is shown. The various aspects of synchronization are also emphasized. Then, association of the control different interactive devices and media which allows the animator greater flexibility and freedom, is discussed. Experiments with input accessories such as the keyboard of a music synthesizer and gestures from the DataGlove are illustrated.

  1. Advanced power assessment for Czech lignite, Task 3.6, Part 2. The 2nd international conference on energy and environment: Transitions in East Central Europe

    SciTech Connect (OSTI)

    Sondreal, E.A.; Mann, M.D.; Weber, G.W.; Young, B.C.

    1995-12-01

    On November 1-5, 1994, the Energy & Environmental Research Center (EERC) and Power Research Institute of Prague cosponsored their second conference since 1991 in the Czech Republic, entitled ``Energy and Environment: Transitions in East Central Europe.`` This conference was a continuation of the EERC`s joint commitment, initiated in 1190, to facilitate solutions to short- and long-term energy and environmental problems in East Central Europe. Production of energy from coal in an environmentally acceptable manner is a critical issue facing East Central Europe, because the region continues to rely on coal as its primary energy source. The goal of the conference was to develop partnerships between industry, government, and the research community in East Central Europe and the United States to solve energy and environmental issues in a manner that fosters economic development. Among the topics addressed at the conference were: conventional and advanced energy generation systems; economic operation of energy systems; air pollution controls; power system retrofitting and repowering, financing options; regulatory issues; energy resource options; waste utilization and disposal; and long-range environmental issues. Selected papers in the proceedings have been processed separately for inclusion in the Energy Science and Technology database.

  2. Understanding and representing natural language meaning

    SciTech Connect (OSTI)

    Waltz, D.L.; Maran, L.R.; Dorfman, M.H.; Dinitz, R.; Farwell, D.

    1982-12-01

    During this contract period the authors have: (a) continued investigation of events and actions by means of representation schemes called 'event shape diagrams'; (b) written a parsing program which selects appropriate word and sentence meanings by a parallel process known as activation and inhibition; (c) begun investigation of the point of a story or event by modeling the motivations and emotional behaviors of story characters; (d) started work on combining and translating two machine-readable dictionaries into a lexicon and knowledge base which will form an integral part of our natural language understanding programs; (e) made substantial progress toward a general model for the representation of cognitive relations by comparing English scene and event descriptions with similar descriptions in other languages; (f) constructed a general model for the representation of tense and aspect of verbs; (g) made progress toward the design of an integrated robotics system which accepts English requests, and uses visual and tactile inputs in making decisions and learning new tasks.

  3. Cross-language information retrieval using PARAFAC2.

    SciTech Connect (OSTI)

    Bader, Brett William; Chew, Peter; Abdelali, Ahmed; Kolda, Tamara Gibson

    2007-05-01

    A standard approach to cross-language information retrieval (CLIR) uses Latent Semantic Analysis (LSA) in conjunction with a multilingual parallel aligned corpus. This approach has been shown to be successful in identifying similar documents across languages - or more precisely, retrieving the most similar document in one language to a query in another language. However, the approach has severe drawbacks when applied to a related task, that of clustering documents 'language-independently', so that documents about similar topics end up closest to one another in the semantic space regardless of their language. The problem is that documents are generally more similar to other documents in the same language than they are to documents in a different language, but on the same topic. As a result, when using multilingual LSA, documents will in practice cluster by language, not by topic. We propose a novel application of PARAFAC2 (which is a variant of PARAFAC, a multi-way generalization of the singular value decomposition [SVD]) to overcome this problem. Instead of forming a single multilingual term-by-document matrix which, under LSA, is subjected to SVD, we form an irregular three-way array, each slice of which is a separate term-by-document matrix for a single language in the parallel corpus. The goal is to compute an SVD for each language such that V (the matrix of right singular vectors) is the same across all languages. Effectively, PARAFAC2 imposes the constraint, not present in standard LSA, that the 'concepts' in all documents in the parallel corpus are the same regardless of language. Intuitively, this constraint makes sense, since the whole purpose of using a parallel corpus is that exactly the same concepts are expressed in the translations. We tested this approach by comparing the performance of PARAFAC2 with standard LSA in solving a particular CLIR problem. From our results, we conclude that PARAFAC2 offers a very promising alternative to LSA not only for multilingual document clustering, but also for solving other problems in cross-language information retrieval.

  4. Operating Systems Support for Advanced Programming Languages

    SciTech Connect (OSTI)

    Kubiatowicz, John

    2012-10-29

    As machines grow in scale and complexity, techniques to make the most effective use of network, memory, and processor resources will also become increasingly important. Programming models that rely on one-sided communication or global address space support have demonstrated advantages for productivity and performance, but they are most effective when used with proper OS support. We propose to develop OS and runtime support for programming models like UPC, GA, Charm++, and HPCS languages, which rely on one-sided communication. Rather than a full OS model, we envision applications bundled with only the necessary OS functions linked in to the application in user space -- relying on the hypervisor for protaction, resource sharing, and mangagement of Quality of Service guarantees. Our services will include support for remote reads and writes to memory, along with remote active message handlers, which are essential for support of fast noncontiguous memory operations, atomic operations, and event-driven applications.

  5. Well test report and CO/sub 2/ injection plan for the Little Knife Field CO/sub 2/ minitest Billings County, North Dakota. First annual report, September 1979-August 1980

    SciTech Connect (OSTI)

    Upton, J.E.

    1981-11-01

    Gulf Oil Exploration and Production Company in conjunction with the Department of Energy is conducting a field test of the CO/sub 2/ miscible displacement process. The project is being conducted in the Mission Canyon Formation (lower Mississippian), a dolomitized carbonate reservoir which is currently in the middle stage of primary depletion. Location of the field is in west-central North Dakota at the approximate center of the Williston Basin. Four wells were drilled in an inverted four-spot configuration within the five-acre minitest. The central well is the injection well surrounded by three non-producing observation wells. Oriented cores were obtained from each well for detailed reservoir characterization and laboratory testing. In addition, pulse and injectivity tests were obtained. Results from these tests were used to upgrade two reservoir simulation models. Various parameters within the models were modified to determine the most efficient injection plan. A WAG-type injection sequence involving alternate slugs of water and CO/sub 2/ will be employed. The test is designed to establish the incremental recovery, over waterflooding, by a miscible CO/sub 2/ flood in an oil reservoir.

  6. 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 South Dakota. Preliminary background report

    SciTech Connect (OSTI)

    Feurer, D A; Weaver, C L; Gallagher, K C; Hejna, D; Rielley, K J

    1980-01-01

    The South Dakota Public Utilities Commission is authorized by statute to regulate gas and electric utilities. The Commission consists of three elected commissioners each of whom serves for a six year term. The Commissioners are elected by district and each must, at the time of election, be a resident of the district from which he has been elected. Each Commissioner must reside in the state capital and devote his entire time to the duties of his office. The Commission is part of the Department of Commerce and Consumer Protection. Municipal power to regulate privately owned electric and gas public utilities was terminated in 1975. A municipally-owned electric utility has the authority to regulate the sale, use, and rates of electric power and energy which it provides. The Commission has no authority to regulate steam, heat, and refrigeration systems; that power resides in cities. 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.

  7. Specifying structural constraints of architectural patterns in the ARCHERY language

    SciTech Connect (OSTI)

    Sanchez, Alejandro; Barbosa, Luis S.; Riesco, Daniel

    2015-03-10

    ARCHERY is an architectural description language for modelling and reasoning about distributed, heterogeneous and dynamically reconfigurable systems in terms of architectural patterns. The language supports the specification of architectures and their reconfiguration. This paper introduces a language extension for precisely describing the structural design decisions that pattern instances must respect in their (re)configurations. The extension is a propositional modal logic with recursion and nominals referencing components, i.e., a hybrid µ-calculus. Its expressiveness allows specifying safety and liveness constraints, as well as paths and cycles over structures. Refinements of classic architectural patterns are specified.

  8. LEARNING SEMANTICS-ENHANCED LANGUAGE MODELS APPLIED TO UNSUEPRVISED WSD

    SciTech Connect (OSTI)

    VERSPOOR, KARIN; LIN, SHOU-DE

    2007-01-29

    An N-gram language model aims at capturing statistical syntactic word order information from corpora. Although the concept of language models has been applied extensively to handle a variety of NLP problems with reasonable success, the standard model does not incorporate semantic information, and consequently limits its applicability to semantic problems such as word sense disambiguation. We propose a framework that integrates semantic information into the language model schema, allowing a system to exploit both syntactic and semantic information to address NLP problems. Furthermore, acknowledging the limited availability of semantically annotated data, we discuss how the proposed model can be learned without annotated training examples. Finally, we report on a case study showing how the semantics-enhanced language model can be applied to unsupervised word sense disambiguation with promising results.

  9. Closing_Language_Patent_Waiver_Grant_Cases.pdf | Department of...

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

    ClosingLanguagePatentWaiverGrantCases.pdf More Documents & Publications Identified Patent Waiver W(I)2009-004 Identified Patent Waiver W(I)2010-004 Advance Patent Waiver...

  10. The Swift Parallel Scripting Language for ALCF Systems | Argonne Leadership

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

    Computing Facility Projects bgclang Compiler Cobalt Scheduler GLEAN Petrel Swift The Swift Parallel Scripting Language for ALCF Systems Swift is an implicitly parallel functional language that makes it easier to script higher-level applications or workflows composed from serial or parallel programs. Recently made available across ALCF systems, it has been used to script application workflows in a broad range of diverse disciplines from protein structure prediction to modeling global

  11. Cybersecurity Procurement Language for Energy Delivery (April 2014) |

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

    Department of Energy Procurement Language for Energy Delivery (April 2014) Cybersecurity Procurement Language for Energy Delivery (April 2014) Energy delivery systems, which are used to monitor and control the production, transfer, and distribution of energy, are critical to the effective and reliable operation of North America's energy infrastructure. Our twenty-first-century way of life is made possible by the vast network of processes enabled by these systems, as well as the

  12. Final Report for CORBA for Fourth Generation Language

    SciTech Connect (OSTI)

    Svetlana Shasharina

    2005-06-28

    The standard for object based networking is the Common Object Request Broker Architecture (CORBA). However, CORBA is not available for Fourth Generation Languages (4GL's) such as Visual Numerics? PV-WAVE or Research Systems? Interactive Data Language (RSI-IDL), which are widely used by scientists and engineers for data visualization and analysis. The proposed work would provide a set of tools to allow 4GL's to interoperate with CORBA.

  13. Selecting tense, aspect, and connecting words in language generation

    SciTech Connect (OSTI)

    Gaasterland, T.; Dorr, B.

    1995-12-31

    Generating language that reflects the temporal organization of represented knowledge requires a language generation model that integrates contemporary theories of tense and aspect, temporal representations, and methods to plan text. This paper presents a model that produces complex sentences that reflect temporal relations present in underlying temporal concepts. The main result of this work is the successful application of constrained linguistic theories of tense and aspect to a generator which produces meaningful event combinations and selects appropriate connecting words that relate them.

  14. A prototype functional language implementation for hierarchical- memory architectures

    SciTech Connect (OSTI)

    Wolski, R.; Feo, J.; Cann, D.

    1992-01-14

    Programming languages are the most important tool at a programmers' disposal. All other tools correct, visualize, or evaluate the product crafted by this tool. The advent of multiprocessor computer systems has greatly complicated the programmer's task an increased his need for high-level languages capable of automatically taming these architectures. In this paper, we describe a prototype implementation of Sisal for multiprocessor, hierarchical-memory systems. The implementation includes explicit compiler and runtime control that effectively exploits the different levels of memory and manages interprocess communications (IPC). We give preliminary performance results for this system on the BBN TC2000.

  15. Vectorization of an applicative language: Current results and future directions

    SciTech Connect (OSTI)

    Cann, D.C.

    1990-11-01

    The most important and challenging problem facing researchers today is the effective use of parallel processors. Few would deny that the biggest obstacle is the inadequacy of current software tools -- an inadequacy born of imperative programming. As an alternative, applicative and functional programming languages provide a cleaner and simpler parallel programming model. They hide architectural idiosyncrasies, guarantee determinancy, enforce software engineering principles, and in many ways simplify compilation. Regrettably these languages have acquired a reputation for inefficiency. In this report, we show that applicative programs do not require special hardware for efficient execution, and with little effort can automatically exploit concurrent and vector processors. 17 refs., 1 fig., 5 tabs.

  16. Microsoft Word - 2013-07-15_Rev_FINAL_LF_2nd_PP_RSS_Language

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

    1. CFCT AND NEW LARGE SINGLE LOADS 2. RESOURCE SUPPORT SERVICES 2.1 Placeholder: Language under revision in the Clean-Up Amendment process. 2.2 Placeholder: Language under...

  17. Microsoft Word - FINAL_Slice_2nd PP RSS Language_08012011.doc

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

    1. CFCT AND NEW LARGE SINGLE LOADS 2. RESOURCE SUPPORT SERVICES 2.1 Placeholder: Language under revision in the Clean-Up Amendment process. 2.2 Placeholder: Language under...

  18. coNCePTuaL -- A Network Correctness and Performance Testing Language

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

    coNCePTuaL -- A Network Correctness and Performance Testing Language coNCePTuaL -- A Network Correctness and Performance Testing Language coNCePTuaL is a tool designed to...

  19. Garbage collection for functional languages in a distributed system

    SciTech Connect (OSTI)

    Eckart, J.D.

    1987-01-01

    Garbage collection is a helpful facility provided by many applicative languages such as Prolog, SISAL, FP, and Lisp. While these, and other, languages provide easy recognition of actions that may be executed in parallel, the garbage-collection algorithms used for single-machine environments become significantly more inefficient in multi-machine environments. Thus, in order to make effective use of these languages, more-efficient algorithms for collecting inter-machine structures is needed. Reference marking is the algorithm developed to meet these needs. It takes advantage of the semantics of applicative languages allowing each parallel action to be responsible for collecting any discarded structures it was responsible for creating. Simulation results comparing the performance of reference marking with other distributed garbage-collection algorithms are given. A variety of problem types and sizes are examined to determine the effects of particular styles of computation on each of the garbage-collection algorithms. The results gathered demonstrate the usefulness of the reference-marking algorithm in both uni- and multi-machine systems.

  20. UPC Language and Library Specifications, Version 1.3

    SciTech Connect (OSTI)

    UPC Consortium; Bonachea, Dan; Funck, Gary

    2013-11-16

    UPC is an explicitly parallel extension to the ISO C 99 Standard. UPC follows the partitioned global address space programming model. This document is the formal specification for the UPC language and library syntax and semantics, and supersedes prior specification version 1.2 (LBNL-59208).

  1. Domain-Specific Languages for Composing Signature Discovery Workflows

    SciTech Connect (OSTI)

    Jacob, Ferosh; Gray, Jeff; Wynne, Adam S.; Liu, Yan; Baker, Nathan A.

    2012-10-23

    Domain-agnostic signature discovery entails investigation across multiple scientific disciplines. The breadth and cross-disciplinary nature of this work requires that existing executables be integrated with new capabilities into workflows, representing a wide range of user tasks. An algorithm may be written in multiple programming languages for various hardware platforms, and so workflow composition requires integrating executables from any number of remote hosts. This raises an engineering issue on how to generate web service wrappers for these heterogeneous executables and to compose them into a scientific workflow environment (e.g., Taverna). In this paper, we introduce two simple Domain-Specific Languages (DSLs) to automate these processes. Our Service Description Language (SDL) describes key elements of a signature discovery service and automatically generates its implementation code. The Workflow Description Language (WDL) describes the pipeline of services and generates deployable artifacts for the Taverna workflow management system. We demonstrate our approach with a real-world workflow composed of services wrapping remote executables.

  2. A Global View Programming Abstraction for Transitioning MPI Codes to PGAS Languages

    SciTech Connect (OSTI)

    Mintz, Tiffany M [ORNL] [ORNL; Hernandez, Oscar R [ORNL] [ORNL; Bernholdt, David E [ORNL] [ORNL

    2014-01-01

    The multicore generation of scientific high performance computing has provided a platform for the realization of Exascale computing, and has also underscored the need for new paradigms in coding parallel applications. The current standard for writing parallel applications requires programmers to use languages designed for sequential execution. These languages have abstractions that only allow programmers to operate on the process centric local view of data. To provide suitable languages for parallel execution, many research efforts have designed languages based on the Partitioned Global Address Space (PGAS) programming model. Chapel is one of the more recent languages to be developed using this model. Chapel supports multithreaded execution with high-level abstractions for parallelism. With Chapel in mind, we have developed a set of directives that serve as intermediate expressions for transitioning scientific applications from languages designed for sequential execution to PGAS languages like Chapel that are being developed with parallelism in mind.

  3. Geometry Description Markup Language for Physics Simulation And Analysis Applications.

    SciTech Connect (OSTI)

    Chytracek, R.; McCormick, J.; Pokorski, W.; Santin, G.; /European Space Agency

    2007-01-23

    The Geometry Description Markup Language (GDML) is a specialized XML-based language designed as an application-independent persistent format for describing the geometries of detectors associated with physics measurements. It serves to implement ''geometry trees'' which correspond to the hierarchy of volumes a detector geometry can be composed of, and to allow to identify the position of individual solids, as well as to describe the materials they are made of. Being pure XML, GDML can be universally used, and in particular it can be considered as the format for interchanging geometries among different applications. In this paper we will present the current status of the development of GDML. After having discussed the contents of the latest GDML schema, which is the basic definition of the format, we will concentrate on the GDML processors. We will present the latest implementation of the GDML ''writers'' as well as ''readers'' for either Geant4 [2], [3] or ROOT [4], [10].

  4. ,"North Dakota Natural Gas Residential Consumption (MMcf)"

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

    39187,835 39217,350 39248,208 39278,190 39309,163 39340,258 39370,575 39401,1193 39431,1917 39462,2034 39493,1839 39522,1382 39553,821 39583,474 39614,345 39644,192 39675,169...

  5. South Dakota Natural Gas Plant Processing

    Gasoline and Diesel Fuel Update (EIA)

    2009 2010 2011 2012 2013 2014 View History Natural Gas Processed (Million Cubic Feet) 113 86 71 2012-2014 Total Liquids Extracted (Thousand Barrels) 23 19 16 2012-2014 NGPL Production, Gaseous Equivalent (Million Cubic Feet) 0 0 0 30 25 21 1977

  6. South Dakota Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 432 394 426 422 413 406 446 457 434 478 482 523 1992 496 485 488 507 538 486 505 500 477 492 479 504 1993 501 452 524 491 516 496 537 540 535 590 549 474 1994 419 354 418 406 440 457 552 632 639 634 645 668 1995 677 603 673 644 653 635 652 673 611 556 570 580 1996 563 545 652 655 699 694 717 723 686 727 693 706 1997 712 682 715 748 773 742 752 804 797 813 775 795 1998 803 744 821 807 718 633 676 675 655 663 635 650 1999 647 608 680 687

  7. South Dakota Supplemental Supplies of Natural Gas

    Gasoline and Diesel Fuel Update (EIA)

    Propane-Air 1980-2007 Biomass 1999-2005 Other 1980-2005

  8. Categorical Exclusion Determinations: South Dakota | Department...

    Office of Environmental Management (EM)

    Offices(s): Western Area Power Administration-Upper ... Construction of the Rapid City-Dry 115 kilovolt Transmission Line ... Office(s): Energy Efficiency and Renewable Energy, ...

  9. Recovery Act State Memos North Dakota

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

    ... To qualify for RRVCA's weatherization services, which are provided free of charge, families or individuals earning 200 percent or less of the federal poverty level or who qualify ...

  10. Government of North Dakota | Open Energy Information

    Open Energy Info (EERE)

    ,"searchmarkers":"","locations":"text":"","title":"","link":null,"lat":46.805371,"lon":-100.779319,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""...

  11. North Dakota Dry Natural Gas Proved Reserves

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

    ,079 1,667 2,381 3,569 5,420 6,034 1977-2014 Adjustments 47 -2 -3 -56 -208 -31 1977-2014 Revision Increases 243 848 570 924 1,096 861 1977-2014 Revision Decreases 81 722 375 292 640 777 1977-2014 Sales 2 47 113 237 13 557 2000-2014 Acquisitions 1 136 169 206 384 322 2000-2014 Extensions 401 442 572 834 1,523 1,161 1977-2014 New Field Discoveries 6 25 10 16 1 4 1977-2014 New Reservoir Discoveries in Old Fields 5 2 17 23 10 37 1977-2014 Estimated Production 82 94 133 230 302 406

  12. North Dakota Renewable Electric Power Industry Statistics

    Gasoline and Diesel Fuel Update (EIA)

    Wind Primary Renewable Energy Generation Source Wind ... Hydro Conventional 508 8.2 Solar - - Wind 1,423 23.0 Wood... Absolute percentage less than 0.05. - No data reported. ...

  13. North Dakota Natural Gas Liquids Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 598 541 598 579 598 579 598 598 579 598 579 598 2008 1,572 1,470 1,572 1,521 1,572 1,521 1,572 1,572 1,521 1,572 1,521 1,572 2009 3,011 2,719 3,011 2,914 3,011 2,914 3,011 3,011 2,914 3,011 2,914 3,011 2010 3,782 3,686 4,182 4,656 5,141 5,034 5,947 6,072 6,098 6,851 6,855 6,757 2011 7,040 6,402 7,453 7,457 7,819 8,244 9,999 10,744 10,958 12,645 12,690 13,549 2012 14,518 13,934 15,737 16,160 17,677 17,703 19,188 20,318 20,552

  14. North Dakota Natural Gas Plant Processing

    Gasoline and Diesel Fuel Update (EIA)

    2009 2010 2011 2012 2013 2014 View History Natural Gas Processed (Million Cubic Feet) 87,977 91,539 112,206 208,598 270,001 337,490 1967-2014 Total Liquids Extracted (Thousand Barrels) 7,852 8,842 10,199 19,186 26,000 36,276 1983-2014 NGPL Production, Gaseous Equivalent (Million Cubic Feet) 10,140 11,381 14,182 26,114 36,840 50,590 1967

  15. North Dakota Number of Natural Gas Consumers

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1996 18 12 17 15 21 64 67 60 36 32 9 8 1997 6 6 8 6 5 5 10 24 47 13 28 5 1998 5 4 5 3 5 5 5 5 5 6 5 5 1999 5 6 7 7 7 8 6 8 6 6 5 5 2000 5 5 5 5 5 5 5 5 8 8 8 9 2001 9 7 7 6 7 6 9 8 8 8 7 7 2002 9 10 15 14 12 13 14 13 9 10 10 10 2003 11 10 10 10 11 11 11 12 9 10 9 9 2004 10 10 12 12 18 13 14 11 7 8 5 6 2005 6 6 7 6 7 8 9 8 8 8 7 7 2006 8 5 5 5 3 4 4 4 5 4 3 3 2007 6 4 4 4 2 3 3 3 4 3 2 2 2008 567 495 642 623 697 761 801 818 853 935

  16. Dakota Electric Association | Open Energy Information

    Open Energy Info (EERE)

    10,251 135,181 100,086 2008-04 5,997 63,601 92,843 379 4,132 4,498 4,231 66,295 2,720 10,607 134,028 100,061 2008-03 7,218 74,279 92,881 442 4,648 4,489 4,596 66,933 2,716 12,256...

  17. Dakota Electric Association - Commercial and Industrial Energy...

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

    Industrial Agricultural Savings Category Geothermal Heat Pumps Lighting Chillers Heat Pumps Air conditioners Compressed air Energy Mgmt. SystemsBuilding Controls Motors Motor VFDs...

  18. North Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    4,239,993 MWh Coal Power 29,812,959 MWh Gas Power 757 MWh Petroleum Power 48,076 MWh Nuclear Power 0 MWh Other 838 MWh Total Energy Production 34,102,623 MWh Percent of Total...

  19. South Dakota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    4,717,288 MWh Coal Power 3,190,913 MWh Gas Power 122,133 MWh Petroleum Power 10,089 MWh Nuclear Power 0 MWh Other 31,318 MWh Total Energy Production 8,071,741 MWh Percent of...

  20. South Dakota PrairieWinds Project

    Office of Environmental Management (EM)

    Department of Energy South Carolina Opens Nation's Largest Wind Drivetrain Testing Facility South Carolina Opens Nation's Largest Wind Drivetrain Testing Facility November 21, 2013 - 11:03am Addthis NEWS MEDIA CONTACT (202) 586-4940 NORTH CHARLESTON, S.C. - Today, U.S. Deputy Secretary of Energy Daniel Poneman joined with officials from Clemson University to dedicate the nation's largest and one of the world's most advanced wind energy testing facilities in North Charleston, S.C. Led by

  1. Clean Cities: North Dakota Clean Cities coalition

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

    Clean Cities. Moffitt is the communications director for the Clean Fuel & Vehicle Technology program of the American Lung Association of the Upper Midwest. He joined the...

  2. North Dakota Supplemental Supplies of Natural Gas

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

    53,495 54,813 51,303 52,541 45,736 48,394 1967-2014 Synthetic 53,495 54,813 51,303 52,541 45,736 48,394 1980-2014 Propane-Air 0 0 1980

  3. South Dakota State Historic Preservation Programmatic Agreement

    Broader source: Energy.gov [DOE]

    Fully executed programmatic agreement between DOE, State Energy Office and State Historic Preservation Office.

  4. Review guidelines on software languages for use in nuclear power plant safety systems. Final report

    SciTech Connect (OSTI)

    Hecht, H.; Hecht, M.; Graff, S.; Green, W.; Lin, D.; Koch, S.; Tai, A.; Wendelboe, D.

    1996-06-01

    Guidelines for the programming and auditing of software written in high level languages for safety systems are presented. The guidelines are derived from a framework of issues significant to software safety which was gathered from relevant standards and research literature. Language-specific adaptations of these guidelines are provided for the following high level languages: Ada, C/C++, Programmable Logic Controller (PLC) Ladder Logic, International Electrotechnical Commission (IEC) Standard 1131-3 Sequential Function Charts, Pascal, and PL/M. Appendices to the report include a tabular summary of the guidelines and additional information on selected languages.s

  5. Energy Audits and Retro-Commissioning: State and Local Policy Design Guide and Sample Policy Language

    SciTech Connect (OSTI)

    2013-07-29

    Provides guidance and sample policy language to help state and local governments enact and implement policies addressing energy assessments of or improvements to existing commercial buildings

  6. Visual language recognition with a feed-forward network of spiking neurons

    SciTech Connect (OSTI)

    Rasmussen, Craig E; Garrett, Kenyan; Sottile, Matthew; Shreyas, Ns

    2010-01-01

    An analogy is made and exploited between the recognition of visual objects and language parsing. A subset of regular languages is used to define a one-dimensional 'visual' language, in which the words are translational and scale invariant. This allows an exploration of the viewpoint invariant languages that can be solved by a network of concurrent, hierarchically connected processors. A language family is defined that is hierarchically tiling system recognizable (HREC). As inspired by nature, an algorithm is presented that constructs a cellular automaton that recognizes strings from a language in the HREC family. It is demonstrated how a language recognizer can be implemented from the cellular automaton using a feed-forward network of spiking neurons. This parser recognizes fixed-length strings from the language in parallel and as the computation is pipelined, a new string can be parsed in each new interval of time. The analogy with formal language theory allows inferences to be drawn regarding what class of objects can be recognized by visual cortex operating in purely feed-forward fashion and what class of objects requires a more complicated network architecture.

  7. Selected Translated Abstracts of Chinese-Language Climate Change Publications

    SciTech Connect (OSTI)

    Cushman, R.M.; Burtis, M.D.

    1999-05-01

    This report contains English-translated abstracts of important Chinese-language literature concerning global climate change for the years 1995-1998. This body of literature includes the topics of adaptation, ancient climate change, climate variation, the East Asia monsoon, historical climate change, impacts, modeling, and radiation and trace-gas emissions. In addition to the biological citations and abstracts translated into English, this report presents the original citations and abstracts in Chinese. Author and title indexes are included to assist the reader in locating abstracts of particular interest.

  8. Aspen: A Domain Specific Language for Performance Modeling

    SciTech Connect (OSTI)

    Spafford, Kyle L; Vetter, Jeffrey S

    2012-01-01

    We present a new approach to analytical performance modeling using Aspen, a domain specific language. Aspen (Abstract Scalable Performance Engineering Notation) fills an important gap in existing performance modeling techniques and is designed to enable rapid exploration of new algorithms and architectures. It includes a formal specification of an application's performance behavior and an abstract machine model. We provide an overview of Aspen's features and demonstrate how it can be used to express a performance model for a three dimensional Fast Fourier Transform. We then demonstrate the composability and modularity of Aspen by importing and reusing the FFT model in a molecular dynamics model. We have also created a number of tools that allow scientists to balance application and system factors quickly and accurately.

  9. Towards a Semantic Lexicon for Biological Language Processing

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

    Verspoor, Karin

    2005-01-01

    This paper explores the use of the resources in the National Library of Medicine's Unified Medical Language System (UMLS) for the construction of a lexicon useful for processing texts in the field of molecular biology. A lexicon is constructed from overlapping terms in the UMLS SPECIALIST lexicon and the UMLS Metathesaurus to obtain both morphosyntactic and semantic information for terms, and the coverage of a domain corpus is assessed. Over 77% of tokens in the domain corpus are found in the constructed lexicon, validating the lexicon's coverage of the most frequent terms in the domain and indicating that the constructedmore » lexicon is potentially an important resource for biological text processing.« less

  10. South Dakota Natural Gas Plant Liquids Production Extracted in North Dakota

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0 0 0 0 0 0 0 0 0 0 0 2008 0 0 0 0 0 0 0 0 0 0 0 0 2009 0 0 0 0 0 0 0 0 0 0 0 0 2010 0 0 0 0 0 0 0 0 0 0 0 0 2011 0 0 0 0 0 0 0 0 0 0 0 0 2012 0 0 0 0 0 0 0 0 0 0 0 0 2013 0 0 0 0 0 0 0 0 0 0 0 0 2014 NA NA NA NA NA NA NA NA NA NA NA NA 2015 NA NA NA NA NA NA NA NA NA NA NA NA 2016 NA NA

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 6,928 5,607 5,043 2000's 4,323 4,211 10,584 11,181

  11. South Dakota Natural Gas Processed in North Dakota (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2001 513 451 449 370 329 253 260 259 287 329 343 367 2002 1,045 851 1,343 795 706 635 637 739 724 901 1,185 1,023 2003 1,123 1,200 1,067 1,001 851 805 803 744 768 836 995 988 2004 1,023 1,049 987 863 770 781 768 774 756 780 1,196 1,219 2005 1,113 1,186 942 915 805 842 706 711 762 761 942 975 2006 1,044 963 974 886 758 704 706 710 748 906 1,078 949 2007 1,146 1,283 1,137 1,851 1,769 1,819 1,784 1,786 1,847 1,868 2,099 2,312 2008 2,772 2,620

  12. The tyranny of the vital few : the Pareto principle in language design.

    SciTech Connect (OSTI)

    Siy, Harvey; Perry, James; McCoy, James Andrew; Winter, Victor Lono; Farkas, Benjamin D.; Srinivasan, Satish

    2010-08-01

    Modern high-level programming languages often contain constructs whose semantics are non-trivial. In practice however, software developers generally restrict the use of such constructs to settings in which their semantics is simple (programmers use language constructs in ways they understand and can reason about). As a result, when developing tools for analyzing and manipulating software, a disproportionate amount of effort ends up being spent developing capabilities needed to analyze constructs in settings that are infrequently used. This paper takes the position that such distinctions between theory and practice are an important measure of the analyzability of a language.

  13. Benchmarking and Disclosure: State and Local Policy Design Guide and Sample Policy Language

    SciTech Connect (OSTI)

    Existing Commercial Buildings Working Group

    2012-05-16

    Provides sample policy language based on a synthesis of existing state and local policies, and discussion on key provisions, for the design of a commercial benchmarking and disclosure policy.

  14. Domain-Specific Languages For Developing and Deploying Signature Discovery Workflows

    SciTech Connect (OSTI)

    Jacob, Ferosh; Wynne, Adam S.; Liu, Yan; Gray, Jeff

    2013-12-02

    Domain-agnostic Signature Discovery entails scientific investigation across multiple domains through the re-use of existing algorithms into workflows. The existing algorithms may be written in any programming language for various hardware architectures (e.g., desktops, commodity clusters, and specialized parallel hardware platforms). This raises an engineering issue in generating Web services for heterogeneous algorithms so that they can be composed into a scientific workflow environment (e.g., Taverna). In this paper, we present our software tool that defines two simple Domain-Specific Languages (DSLs) to automate these processes: SDL and WDL. Our Service Description Language (SDL) describes key elements of a signature discovery algorithm and generates the service code. The Workflow Description Language (WDL) describes the pipeline of services and generates deployable artifacts for the Taverna workflow management system. We demonstrate our tool with a landscape classification example that is represented by BLAST workflows composed of services that wrap original scripts.

  15. Workshop on programming languages for high performance computing (HPCWPL): final report.

    SciTech Connect (OSTI)

    Murphy, Richard C.

    2007-05-01

    This report summarizes the deliberations and conclusions of the Workshop on Programming Languages for High Performance Computing (HPCWPL) held at the Sandia CSRI facility in Albuquerque, NM on December 12-13, 2006.

  16. Co-Array Python: A Parallel Extension to the Python Language.

    SciTech Connect (OSTI)

    Rasmussen, Craig; Sottile, Mathew J.; Nieplocha, Jarek; Numrich, Robert W.; Jones, Eric; Marco Danelutto, Marco Vanneschi, Domenico Laforenza

    2004-12-07

    A Parallel extension to the Python language is introduced that is modeled after the Co-Array Fortran extension to Fortran 95. A new Python module, CoArray

  17. Contract DE-AC02-07CH11358 Modifications Language Changes

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

    AC02-07CH11358 Modifications Language Changes Modification 183 October 23, 2015 Part I, Section H - Special Contract Requirements (replace Mod 171) Part II, Section I - Contract...

  18. Statistical language analysis for automatic exfiltration event detection.

    SciTech Connect (OSTI)

    Robinson, David Gerald

    2010-04-01

    This paper discusses the recent development a statistical approach for the automatic identification of anomalous network activity that is characteristic of exfiltration events. This approach is based on the language processing method eferred to as latent dirichlet allocation (LDA). Cyber security experts currently depend heavily on a rule-based framework for initial detection of suspect network events. The application of the rule set typically results in an extensive list of uspect network events that are then further explored manually for suspicious activity. The ability to identify anomalous network events is heavily dependent on the experience of the security personnel wading through the network log. Limitations f this approach are clear: rule-based systems only apply to exfiltration behavior that has previously been observed, and experienced cyber security personnel are rare commodities. Since the new methodology is not a discrete rule-based pproach, it is more difficult for an insider to disguise the exfiltration events. A further benefit is that the methodology provides a risk-based approach that can be implemented in a continuous, dynamic or evolutionary fashion. This permits uspect network activity to be identified early with a quantifiable risk associated with decision making when responding to suspicious activity.

  19. Plain Language: A Commitment to Writing You Can Understand | Department of

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

    Energy Plain Language: A Commitment to Writing You Can Understand Plain Language: A Commitment to Writing You Can Understand The Plain Writing Act of 2010 requires federal agencies to write "clear Government communication that the public can understand and use." President Obama also emphasized the importance of establishing "a system of transparency, public participation, and collaboration" in his January 21, 2009, Memorandum on Transparency and Open Government. We here

  20. Review guidelines for software languages for use in nuclear power plant safety systems: Final report. Revision 1

    SciTech Connect (OSTI)

    Hecht, M.; Decker, D.; Graff, S.; Green, W.; Lin, D.; Dinsmore, G.; Koch, S.

    1997-10-01

    Guidelines for the programming and auditing of software written in high level languages for safety systems are presented. The guidelines are derived from a framework of issues significant to software safety which was gathered from relevant standards and research literature. Language-specific adaptations of these guidelines are provided for the following high level languages: Ada83 and Ada95; C and C++; International Electrochemical Commission (IEC) Standard 1131-3 Ladder Logic, Sequential Function Charts, Structured Text, and Function Block Diagrams; Pascal; and PL/M. Appendices to the report include a tabular summary of the guidelines and additional information on selected languages.

  1. Czech Republic: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    EIA Natural Gas Reserves 3,072,000,000 Cubic Meters (cu m) 92 2010 CIA World Factbook Oil Reserves 15,000,000 Barrels (bbl) 86 2010 CIA World Factbook Energy Maps featuring...

  2. Language Classification using N-grams Accelerated by FPGA-based Bloom Filters

    SciTech Connect (OSTI)

    Jacob, A; Gokhale, M

    2007-09-13

    N-Gram (n-character sequences in text documents) counting is a well-established technique used in classifying the language of text in a document. In this paper, n-gram processing is accelerated through the use of reconfigurable hardware on the XtremeData XD1000 system. Our design employs parallelism at multiple levels, with parallel Bloom Filters accessing on-chip RAM, parallel language classifiers, and parallel document processing. In contrast to another hardware implementation (HAIL algorithm) that uses off-chip SRAM for lookup, our highly scalable implementation uses only on-chip memory blocks. Our implementation of end-to-end language classification runs at 85x comparable software and 1.45x the competing hardware design.

  3. User manual for IOSYM: an input-oriented simulation language for continuous systems

    SciTech Connect (OSTI)

    Polito, J.

    1981-03-01

    IOSYM is an extension of the GASP IV simulation language. It permits systems which are sequences of continuous processes to be modeled graphically. Normally the system can be described by data input only. The language permits stochastic sequencing and termination criteria for processes and allows crossing conditions for ending operations that are more general than GASP IV. Extensive capability exists for conditional branching and logical modification of the network. IOSYM has been used to model the cost of geothermal drilling where the various costly processes of drilling are represented by IOSYM operations. The language is much more general, however, since it retains most of GASP IV's discrete event capabilities and permits easy modeling of continuous processes.

  4. Revising the worksheet with L3: a language and environment foruser-script interaction

    SciTech Connect (OSTI)

    Hohn, Michael H.

    2008-01-22

    This paper describes a novel approach to the parameter anddata handling issues commonly found in experimental scientific computingand scripting in general. The approach is based on the familiarcombination of scripting language and user interface, but using alanguage expressly designed for user interaction and convenience. The L3language combines programming facilities of procedural and functionallanguages with the persistence and need-based evaluation of data flowlanguages. It is implemented in Python, has access to all Pythonlibraries, and retains almost complete source code compatibility to allowsimple movement of code between the languages. The worksheet interfaceuses metadata produced by L3 to provide selection of values through thescriptit self and allow users to dynamically evolve scripts withoutre-running the prior versions. Scripts can be edited via text editors ormanipulated as structures on a drawing canvas. Computed values are validscripts and can be used further in other scripts via simplecopy-and-paste operations. The implementation is freely available underan open-source license.

  5. A prototype functional language implementation for hierarchical- memory architectures. Revision 1

    SciTech Connect (OSTI)

    Wolski, R.; Feo, J.; Cann, D.

    1992-01-14

    Programming languages are the most important tool at a programmers` disposal. All other tools correct, visualize, or evaluate the product crafted by this tool. The advent of multiprocessor computer systems has greatly complicated the programmer`s task an increased his need for high-level languages capable of automatically taming these architectures. In this paper, we describe a prototype implementation of Sisal for multiprocessor, hierarchical-memory systems. The implementation includes explicit compiler and runtime control that effectively exploits the different levels of memory and manages interprocess communications (IPC). We give preliminary performance results for this system on the BBN TC2000.

  6. Selected translated abstracts of Russian-language climate-change publications: II, Clouds. Issue 159

    SciTech Connect (OSTI)

    Burtis, M.D.

    1994-01-01

    This report presents abstracts (translated into English) of important Russian-language literature concerning clouds as they relate to climate change. In addition to the bibliographic citations and abstracts translated into English, this report presents the original citations and abstracts in Russian. Author and title indexes are included to assist the reader in locating abstracts of particular interest.

  7. Selected translated abstracts of Russian-language climate-change publications: I, Surface energy budget

    SciTech Connect (OSTI)

    Burtis, M.D.

    1992-09-01

    This report presents abstracts (translated into English) of important Russian-language literature concerning the surface energy budget as it relates to climate change. In addition to the bibliographic citations and abstracts translated into English, this report presents the original citations and abstracts in Russian. Author and title indexes are included, to assist the reader in locating abstracts of particular interest.

  8. Selected translated abstracts of Russian-language climate-change publications. 4: General circulation models

    SciTech Connect (OSTI)

    Burtis, M.D.; Razuvaev, V.N.; Sivachok, S.G.

    1996-10-01

    This report presents English-translated abstracts of important Russian-language literature concerning general circulation models as they relate to climate change. Into addition to the bibliographic citations and abstracts translated into English, this report presents the original citations and abstracts in Russian. Author and title indexes are included to assist the reader in locating abstracts of particular interest.

  9. Selected Translated Abstracts of Russian-Language Climate-Change Publications, II. Clouds

    SciTech Connect (OSTI)

    Ravina, C.B.

    1994-01-01

    This report presents abstracts (translated into English) of important Russian-language literature concerning clouds as they relate to climate change. In addition to the bibliographic citations and abstracts translated into English, this report presents the original citations and abstracts in Russian. Author and title indexes are included, to assist the reader in locating abstracts of particular interest.

  10. A Study of Successive Over-relaxation Method Parallelization over Modern HPC Languages

    SciTech Connect (OSTI)

    Mittal, Sparsh [ORNL

    2014-01-01

    Successive over-relaxation (SOR) is a computationally intensive, yet extremely important iterative solver for solving linear systems. Due to recent trends of exponential growth in amount of data generated and increasing problem sizes, serial platforms have proved to be insucient in providing the required computational power. In this paper, we present parallel implementations of red-black SOR method using three modern programming languages namely Chapel, D and Go. We employ SOR method for solving 2D steady-state heat conduction problem. We discuss the optimizations incorporated and the features of these languages which are crucial for improving the program performance. Experiments have been performed using 2, 4, and 8 threads and performance results are compared with serial execution. The analysis of results provides important insights into working of SOR method.

  11. A Best Practice for Developing Availability Guarantee Language in Photovoltaic (PV) O&M Agreements.

    SciTech Connect (OSTI)

    Klise, Geoffrey Taylor; Balfour, John

    2015-11-01

    This document outlines the foundation for developing language that can be utilized in an Equipment Availability Guarantee, typically included in an O&M services agreement between a PV system or plant owner and an O&M services provider, or operator. Many of the current PV O&M service agreement Availability Guarantees are based on contracts used for traditional power generation, which create challenges for owners and operators due to the variable nature of grid-tied photovoltaic generating technologies. This report documents language used in early PV availability guarantees and presents best practices and equations that can be used to more openly communicate how the reliability of the PV system and plant equipment can be expressed in an availability guarantee. This work will improve the bankability of PV systems by providing greater transparency into the equipment reliability state to all parties involved in an O&M services contract.

  12. ISO 18629 PSL : A Standardized Language for Specifying and Exchanging Process Information

    SciTech Connect (OSTI)

    Pouchard, Line Catherine; Cutting-Decelle, A. F.; Michel, Jean-Jacques; Gruninger, Michael

    2006-01-01

    As enterprise integration increases, developers face increasingly complex problems related to interoperability. When enterprises collaborate, a common frame of reference or at least a common terminology is necessary for human-to-human, human-to-machine, and machine-to-machine communication. Ontology engineering offers a direction towards solving the inter-operability problems brought about by semantic obstacles related to the definitions of business terms and software classes. Ontology engineering is a set of tasks related to the development of ontologies for a particular domain. This paper is aimed at presenting the approach of ISO 18629, i.e., the Process Specification Language (PSL), to this problem. In the first part, the architecture of the standard is described, with the main features of the language. Then, the problems of the interoperability with PSL and the conformance to the standard are presented. The paper ends with an example showing the use of the standard for interoperability.

  13. Language barrier broken with Multilingual WorldWideScience.org BETA | OSTI,

    Office of Scientific and Technical Information (OSTI)

    US Dept of Energy, Office of Scientific and Technical Information Language barrier broken with Multilingual WorldWideScience.org BETA Multilingual WordWideScience Officials at the June 11 launch of Multilingual WorldWideScience.org BETA at the International Council for Scientific and Technical Information (ICSTI) annual conference held in Helsinki, Finland. Pictured, from left, Dr. Walter Warnick, U.S. Department of Energy Office of Scientific and Technical Information (OSTI) Director; Yuri

  14. Natural language processing-based COTS software and related technologies survey.

    SciTech Connect (OSTI)

    Stickland, Michael G.; Conrad, Gregory N.; Eaton, Shelley M.

    2003-09-01

    Natural language processing-based knowledge management software, traditionally developed for security organizations, is now becoming commercially available. An informal survey was conducted to discover and examine current NLP and related technologies and potential applications for information retrieval, information extraction, summarization, categorization, terminology management, link analysis, and visualization for possible implementation at Sandia National Laboratories. This report documents our current understanding of the technologies, lists software vendors and their products, and identifies potential applications of these technologies.

  15. Guidance on Alternative Contract Language Regarding Energy Savings Performance Contract Terminations and Cancellations

    Broader source: Energy.gov [DOE]

    This guidance relates to alternative task order language which could be used to identify, at the time of task order award, certain costs that would normally form the basis of a claim following a Cancellation or a claim following a Termination for Convenience after Full Project Acceptance of energy conservation measures and water conservation measures contemplated under a task order (Post-Acceptance Termination for Convenience).

  16. Standard generalized markup language: A guide for transmitting encoded bibliographic records

    SciTech Connect (OSTI)

    Not Available

    1994-09-01

    This document provides the guidance necessary to transmit to DOE`s Office of Scientific and Technical Information (OSTI) an encoded bibliographic record that conforms to International Standard ISO 8879, Information Processing -- Text and office systems -- Standard Generalized Markup Language (SGML). Included in this document are element and attribute tag definitions, sample bibliographic records, the bibliographic document type definition, and instructions on how to transmit a bibliographic record electronically to OSTI.

  17. New report offers best practice for transparent contract language of PV O&M

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

    agreements offers best practice for transparent contract language of PV O&M agreements - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery

  18. Tool For Editing Structured Query Language Text Within ORACLE Forms Applications

    Energy Science and Technology Software Center (OSTI)

    1991-02-01

    SQTTEXT is an ORACLE SQL*Forms application that allows a programmer to view and edit all the Structured Query Language (SQL) text for a given application on one screen. This application is an outgrowth of the prototyping of an on-line system dictionary for the Worldwide Household Goods Information system for Transportation-Modernization decision support system being prototyped by the Oak Ridge National Laboratory, but it can be applied to all SQL*Forms software development, debugging, and maintenance.

  19. Microsoft Word - FINAL Class 1 Revise TRUPACT-III Management Language 05-20-11.doc

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

    May 24, 2011 Mr. John Kieling , Acting Bureau Chief Hazardous Waste Bureau New Mexico Environment Department 2905 Rodeo Park Drive East, Building 1 Santa Fe, New Mexico 87505-6303 Subject: Notification of a Class 1 Permit Modification to the Hazardous Waste Facility Permit, Permit Number: NM4890139088-TSDF Dear Mr. Kieling: Enclosed is a Class 1 Permit Modification Notification to: * Revise TRUPACT-III Management Language * Revise Procedure Reference for the Bolting Station in Table E-1 We

  20. PyDecay/GraphPhys: A Unified Language and Storage System for Particle Decay Process Descriptions

    SciTech Connect (OSTI)

    Dunietz, Jesse N.; /MIT /SLAC

    2011-06-22

    To ease the tasks of Monte Carlo (MC) simulation and event reconstruction (i.e. inferring particle-decay events from experimental data) for long-term BaBar data preservation and analysis, the following software components have been designed: a language ('GraphPhys') for specifying decay processes, common to both simulation and data analysis, allowing arbitrary parameters on particles, decays, and entire processes; an automated visualization tool to show graphically what decays have been specified; and a searchable database storage mechanism for decay specifications. Unlike HepML, a proposed XML standard for HEP metadata, the specification language is designed not for data interchange between computer systems, but rather for direct manipulation by human beings as well as computers. The components are interoperable: the information parsed from files in the specification language can easily be rendered as an image by the visualization package, and conversion between decay representations was implemented. Several proof-of-concept command-line tools were built based on this framework. Applications include building easier and more efficient interfaces to existing analysis tools for current projects (e.g. BaBar/BESII), providing a framework for analyses in future experimental settings (e.g. LHC/SuperB), and outreach programs that involve giving students access to BaBar data and analysis tools to give them a hands-on feel for scientific analysis.