National Library of Energy BETA

Sample records for 1979-1985 estimated production

  1. State Energy Production Estimates

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

    Energy Production Estimates 1960 Through 2012 2012 Summary Tables Table P1. Energy Production Estimates in Physical Units, 2012 Alabama 19,455 215,710 9,525 0 Alaska 2,052 351,259...

  2. Pennsylvania Lease Condensate Proved Reserves, Reserve Changes, and

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

    Production 1980 1981 1982 1983 1984 1985 View History Proved Reserves as of Dec. 31 0 0 0 2 2 2 1979-1985 Estimated Production 0 0 0 0 0 0 1979-1985

  3. Weekly Coal Production Estimation Methodology

    Gasoline and Diesel Fuel Update (EIA)

    Weekly Coal Production Estimation Methodology Step 1 (Estimate total amount of weekly U.S. coal production) U.S. coal production for the current week is estimated using a ratio estimation from the given equation below; ̂ () = () × × { + ( - )} (1) ℎ ̂ () =

  4. Hydrogen Production Cost Estimate Using Biomass Gasification...

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

    Cost Estimate Using Biomass Gasification: Independent Review Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review This independent review is the ...

  5. Adjusted Estimates of Texas Natural Gas Production

    Reports and Publications (EIA)

    2005-01-01

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

  6. Methodology for Monthly Crude Oil Production Estimates

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

    5 U.S. Energy Information Administration | Methodology for Monthly Crude Oil Production Estimates 1 Methodology for Monthly Crude Oil Production Estimates Executive summary The U.S. Energy Information Administration (EIA) relies on data from state and other federal agencies and does not currently collect survey data directly from crude oil producers. Summarizing the estimation process in terms of percent of U.S. production: * 20% is based on state agency data, including North Dakota and Alaska.

  7. New Methodology for Natural Gas Production Estimates

    Reports and Publications (EIA)

    2010-01-01

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

  8. How EIA Estimates Natural Gas Production

    Reports and Publications (EIA)

    2004-01-01

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

  9. Texas Dry Natural Gas Reserves Estimated Production (Billion...

    Gasoline and Diesel Fuel Update (EIA)

    Estimated Production (Billion Cubic Feet) Texas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

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

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

    Estimated Production (Billion Cubic Feet) New York 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...

  11. Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell...

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

    of Direct Hydrogen PEM Fuel Cell Systems for Transportation Applications: 2012 Update Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell Systems for Transportation...

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

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

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

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

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

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

  14. ARM - PI Product - Climate Modeling Best Estimate (CMBE)

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

    govDataPI Data ProductsClimate Modeling Best Estimate (CMBE) Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Climate...

  15. Hydrogen Production Cost Estimate Using Biomass Gasification: Independent

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

    Review | Department of Energy Cost Estimate Using Biomass Gasification: Independent Review Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review This independent review is the conclusion arrived at from data collection, document reviews, interviews and deliberation from December 2010 through April 2011 and the technical potential of Hydrogen Production Cost Estimate Using Biomass Gasification The Panel reviewed the current H2A case (Version 2.12, Case 01D) for

  16. ARM - Evaluation Product - Radiatively Important Parameters Best Estimate

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

    (RIPBE) ProductsRadiatively Important Parameters Best Estimate (RIPBE) ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Radiatively Important Parameters Best Estimate (RIPBE) The Radiatively Important Parameters Best Estimate (RIPBE) VAP combines multiple input datastreams, each with their own temporal

  17. ARM - Evaluation Product - Climate Modeling Best Estimate (CMBE...

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

    ProductsClimate Modeling Best Estimate (CMBE) Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you...

  18. Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review

    SciTech Connect (OSTI)

    none,

    2011-10-01

    This independent review is the conclusion arrived at from data collection, document reviews, interviews and deliberation from December 2010 through April 2011 and the technical potential of Hydrogen Production Cost Estimate Using Biomass Gasification. The Panel reviewed the current H2A case (Version 2.12, Case 01D) for hydrogen production via biomass gasification and identified four principal components of hydrogen levelized cost: CapEx; feedstock costs; project financing structure; efficiency/hydrogen yield. The panel reexamined the assumptions around these components and arrived at new estimates and approaches that better reflect the current technology and business environments.

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

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

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

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

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

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

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

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

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

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

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

    Estimated Production (Billion Cubic Feet) Michigan 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 135 149 134 1980's 160 139 133 125 138 132 128 130 126 129 1990's 120 155 145 141 150 163 208 221 240 234 2000's 333 239 242 220 207 211 197 184 157 153 2010's 154 139 138 133 124 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

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

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

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

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

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

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

  5. 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:

  6. Ohio Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

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

    Estimated Production (Billion Cubic Feet) Ohio 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 60 65 105 1980's 137 85 99 179 169 140 149 117 132 130 1990's 127 132 117 121 119 115 121 105 94 94 2000's 79 84 87 82 82 76 78 71 79 79 2010's 73 76 85 166 477 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

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

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

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

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

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

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

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

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

    Estimated Production (Billion Cubic Feet) Virginia Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 6 4 8 15 15 19 18 18 1990's 7 12 25 36 51 52 55 68 61 66 2000's 71 78 75 82 72 70 102 109 126 178 2010's 172 156 153 142 145 - = 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:

  10. West Virginia Dry Natural Gas Reserves Estimated Production (Billion Cubic

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

    Feet) Estimated Production (Billion Cubic Feet) West Virginia 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 124 126 116 1980's 151 137 136 126 165 164 153 168 172 160 1990's 169 176 170 169 172 166 177 167 170 173 2000's 176 158 194 189 170 230 187 192 250 278 2010's 293 395 588 728 985 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  11. ARM - Evaluation Product - Quantitative Precipitation Estimates (QPE) from

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

    the CSAPR ProductsQuantitative Precipitation Estimates (QPE) from the CSAPR ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Quantitative Precipitation Estimates (QPE) from the CSAPR Precipitation rates from cloud systems can give a fundamental insight into the processes occurring in-cloud. While rain

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

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

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

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

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

    Estimated Production (Billion Cubic Feet) Kansas 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 767 855 738 1980's 636 593 440 370 447 503 461 437 546 549 1990's 523 580 590 657 671 673 702 629 548 486 2000's 491 438 471 426 376 380 350 361 357 334 2010's 305 285 281 283 272 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

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

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

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

  15. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate...

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

    Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water ...

  16. U.S. Crude Oil + Lease Condensate Estimated Production from Reserves...

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

    Estimated Production from Reserves (Million Barrels) U.S. Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3...

  17. Cost estimate for muddy water palladium production facility at Mound

    SciTech Connect (OSTI)

    McAdams, R.K.

    1988-11-30

    An economic feasibility study was performed on the ''Muddy Water'' low-chlorine content palladium powder production process developed by Mound. The total capital investment and total operating costs (dollars per gram) were determined for production batch sizes of 1--10 kg in 1-kg increments. The report includes a brief description of the Muddy Water process, the process flow diagram, and material balances for the various production batch sizes. Two types of facilities were evaluated--one for production of new, ''virgin'' palladium powder, and one for recycling existing material. The total capital investment for virgin facilities ranged from $600,000 --$1.3 million for production batch sizes of 1--10 kg, respectively. The range for recycle facilities was $1--$2.3 million. The total operating cost for 100% acceptable powder production in the virgin facilities ranged from $23 per gram for a 1-kg production batch size to $8 per gram for a 10-kg batch size. Similarly for recycle facilities, the total operating cost ranged from $34 per gram to $5 per gram. The total operating cost versus product acceptability (ranging from 50%--100% acceptability) was also evaluated for both virgin and recycle facilities. Because production sizes studied vary widely and because scale-up factors are unknown for batch sizes greater than 1 kg, all costs are ''order-of-magnitude'' estimates. All costs reported are in 1987 dollars.

  18. New Mexico Dry Natural Gas Reserves Estimated Production (Billion Cubic

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

    Feet) Estimated Production (Billion Cubic Feet) New Mexico Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,127 1,099 1,149 1980's 1,064 1,086 942 799 856 843 628 728 731 760 1990's 887 1,013 1,143 1,337 1,362 1,397 1,423 1,547 1,449 1,539 2000's 1,508 1,536 1,524 1,415 1,527 1,493 1,426 1,349 1,349 1,350 2010's 1,220 1,170 1,169 1,155 1,174 - = No Data Reported; -- = Not Applicable; NA =

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

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

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

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

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

    Estimated Production (Billion Cubic Feet) Florida Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 36 39 36 1980's 32 27 20 18 11 8 8 7 5 7 1990's 7 4 7 6 7 6 5 6 5 5 2000's 6 5 4 3 3 2 2 4 3 0 2010's 15 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

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

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

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

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

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

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

  3. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...

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

    Applications: 2007 Update Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2007 Update This report estimates fuel cell system cost...

  4. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...

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

    Applications: 2008 Update Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2008 Update This report estimates fuel cell system cost...

  5. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...

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

    Application Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Application This presentation reports on the status of mass production cost...

  6. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for

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

    Automotive Application | Department of Energy Application Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Application This presentation reports on the status of mass production cost estimation for direct hydrogen PEM fuel cell systems. PDF icon Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Application More Documents & Publications Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive

  7. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using

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

    Water Electrolysis | Department of Energy Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis This is an independent review of the estimated 2009 state-of-the-art cost of producing hydrogen from both alkaline and PEM water electrolyzers for distributed and central production. PDF icon Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water

  8. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for

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

    Automotive Applications: 2007 Update | Department of Energy Applications: 2007 Update Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2007 Update This report estimates fuel cell system cost for systems produced in the years 2007, 2010, and 2015, and is the first annual update of a comprehensive automotive fuel cell cost analysis. PDF icon Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2007

  9. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for

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

    Automotive Applications: 2008 Update | Department of Energy Applications: 2008 Update Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2008 Update This report estimates fuel cell system cost for systems produced in the years 2006, 2010, and 2015, and is the second annual update of a comprehensive automotive fuel cell cost analysis. PDF icon Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2008

  10. Estimating Production Potentials: Expert Bias in Applied Decision Making

    SciTech Connect (OSTI)

    Reece, Wendy Jane

    1998-10-01

    A study was conducted to evaluate how workers predict manufacturing production potentials given positively and negatively framed information. Findings indicate the existence of a bias toward positive information and suggest that this bias may be reduced with experience but is never the less maintained. Experts err in the same way non experts do in differentially processing negative and positive information. Additionally, both experts and non experts tend to overestimate production potentials in a positive direction. The authors propose that these biases should be addressed with further research including cross domain analyses and consideration in training, workplace design, and human performance modeling.

  11. ARM - Evaluation Product - ARM Navigation Best Estimate 10 Hz (NAVBE) and

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

    1-min (NAVBE1M) Value Added Products (VAP) for Ship Deployments ProductsARM Navigation Best Estimate 10 Hz (NAVBE) and 1-min (NAVBE1M) Value Added Products (VAP) for Ship Deployments ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : ARM Navigation Best Estimate 10 Hz (NAVBE) and 1-min (NAVBE1M) Value

  12. Estimation of net primary productivity using a process-based model in Gansu

    Office of Scientific and Technical Information (OSTI)

    Province, Northwest China (Journal Article) | SciTech Connect Journal Article: Estimation of net primary productivity using a process-based model in Gansu Province, Northwest China Citation Details In-Document Search Title: Estimation of net primary productivity using a process-based model in Gansu Province, Northwest China The ecological structure in the arid and semi-arid region of Northwest China with forest, grassland, agriculture, Gobi, and desert, is complex, vulnerable, and unstable.

  13. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for

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

    Automotive Application: 2009 Update | Department of Energy Application: 2009 Update Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Application: 2009 Update This report is the third annual update of a comprehensive automotive fuel cell cost analysis. It contains estimates for material and manufacturing cost of complete 80 kWnet direct hydrogen proton exchange membrane fuel cell systems suitable for powering light duty automobiles. PDF icon Mass Production

  14. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for

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

    Automotive Applications: 2010 Update | Department of Energy Applications: 2010 Update Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2010 Update This report is the fourth annual update of a comprehensive automotive fuel cell cost analysis. It contains estimates for material and manufacturing costs of complete 80 kWnet direct-hydrogen proton exchange membrane fuel cell systems suitable for powering light-duty automobiles. PDF icon Mass

  15. Mass Production Cost Estimation of Direct H2 PEM Fuel Cell Systems for

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

    Transportation Applications: 2013 Update | Department of Energy of Direct H2 PEM Fuel Cell Systems for Transportation Applications: 2013 Update Mass Production Cost Estimation of Direct H2 PEM Fuel Cell Systems for Transportation Applications: 2013 Update This report is the seventh annual update of a comprehensive automotive fuel cell cost analysis conducted by Strategic Analysis under contract to the U.S. Department of Energy. In this multi-year project, SA estimates the material and

  16. U.S. Natural Gas Plant Liquids Reserves, Estimated Production (Million

    Gasoline and Diesel Fuel Update (EIA)

    Barrels) Liquids Reserves, Estimated Production (Million Barrels) U.S. Natural Gas Plant Liquids Reserves, Estimated 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 727 1980's 731 741 721 725 776 753 738 747 754 731 1990's 732 754 773 788 791 791 850 864 833 896 2000's 921 884 802 827 788 811 831 840 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  17. DOE/SC-ARM/TR-115 Aerosol Best Estimate (AEROSOLBE) Value-Added Product

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

    5 Aerosol Best Estimate (AEROSOLBE) Value-Added Product C Flynn D Turner A Koontz D Chand C Sivaraman July 2012 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that

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

    Reports and Publications (EIA)

    2003-01-01

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

  19. Estimating coal production peak and trends of coal imports in China

    SciTech Connect (OSTI)

    Bo-qiang Lin; Jiang-hua Liu

    2010-01-15

    More than 20 countries in the world have already reached a maximum capacity in their coal production (peak coal production) such as Japan, the United Kingdom and Germany. China, home to the third largest coal reserves in the world, is the world's largest coal producer and consumer, making it part of the Big Six. At present, however, China's coal production has not yet reached its peak. In this article, logistic curves and Gaussian curves are used to predict China's coal peak and the results show that it will be between the late 2020s and the early 2030s. Based on the predictions of coal production and consumption, China's net coal import could be estimated for coming years. This article also analyzes the impact of China's net coal import on the international coal market, especially the Asian market, and on China's economic development and energy security. 16 refs., 5 figs., 6 tabs.

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

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

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

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

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

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

  2. Question/comment: An estimate of the direct productive labor hours (DPLH) per l

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

    Question/comment: An estimate of the direct productive labor hours (DPLH) per labor category is not provided in the Request for Proposal for DE-SOL-0005388. Will the Government provide such information so that Offerors may develop a responsive proposal? Response: Historical data reflecting full time equivalent (FTE) support personnel by labor category is provided in Section J.9, Attachment D of the RFP in the table titled Position Qualifications. Each Offeror is expected to propose the labor

  3. Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell Systems

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

    for Transportation Applications: 2012 Update | Department of Energy of Direct Hydrogen PEM Fuel Cell Systems for Transportation Applications: 2012 Update Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell Systems for Transportation Applications: 2012 Update This report is the sixth annual update of a comprehensive automotive fuel cell cost analysis conducted by Strategic Analysis under contract to the U.S. Department of Energy. This 2012 update will cover current status

  4. Worldwide estimates and bibliography of net primary productivity derived from pre-1982 publications

    SciTech Connect (OSTI)

    Esser, G.; Lieth, H.F.H.; Scurlock, J.M.O.; Olson, R.J.

    1997-10-01

    An extensive compilation of more than 700 field estimates of net primary productivity of natural and agricultural ecosystems worldwide was synthesized in Germany in the 1970s and early 1980s. Although the Osnabrueck data set has not been updated since the 1980s, it represents a wealth of information for use in model development and validation. This report documents the development of this data set, its contents, and its recent availability on the Internet from the Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. Caution is advised in using these data, which necessarily include assumptions and conversions that may not be universally applicable to all sites.

  5. Modelling estimation on the impacts of global warming on rice production in China

    SciTech Connect (OSTI)

    Wang Futang

    1997-12-31

    In this paper, based on the validation and sensitivity analyses of two rice growth models (ORYZA1 and DRISIC--Double Rice Cropping Simulation Model for China), and their joining with global warming scenarios projected by GCMs (GFDL, UKMO-H, MPI and DKRZ OPYC, DKRZ LSG, respectively), the modelling experiments were carried out on the potential impacts of global warming on rice production in China. The results show that although there are the some features for each rice cropping patterns because of different models and estimated methods, the rice production for all cropping patterns in China will trend to decrease with different degrees. In average, early, middle and later rice production, as well as, double-early and double-later rice production in different areas of China will decrease 3.7%, 10.5% and 10.4%, as well as, 15.9% and 14.4%, respectively. It do illustrates that the advantage effects induced by elevated CO{sub 2} concentration on photosynthesis does not compensate the adverse effects of temperature increase. Thus, it is necessary to adjusting rice cropping patterns, cultivars and farming techniques to the global warming timely.

  6. Estimates of Radioxenon Released from Southern Hemisphere Medical isotope Production Facilities Using Measured Air Concentrations and Atmospheric Transport Modeling

    SciTech Connect (OSTI)

    Eslinger, Paul W.; Friese, Judah I.; Lowrey, Justin D.; McIntyre, Justin I.; Miley, Harry S.; Schrom, Brian T.

    2014-09-01

    Abstract The International Monitoring System (IMS) of the Comprehensive-Nuclear-Test-Ban-Treaty monitors the atmosphere for radioactive xenon leaking from underground nuclear explosions. Emissions from medical isotope production represent a challenging background signal when determining whether measured radioxenon in the atmosphere is associated with a nuclear explosion prohibited by the treaty. The Australian Nuclear Science and Technology Organisation (ANSTO) operates a reactor and medical isotope production facility in Lucas Heights, Australia. This study uses two years of release data from the ANSTO medical isotope production facility and Xe-133 data from three IMS sampling locations to estimate the annual releases of Xe-133 from medical isotope production facilities in Argentina, South Africa, and Indonesia. Atmospheric dilution factors derived from a global atmospheric transport model were used in an optimization scheme to estimate annual release values by facility. The annual releases of about 6.81014 Bq from the ANSTO medical isotope production facility are in good agreement with the sampled concentrations at these three IMS sampling locations. Annual release estimates for the facility in South Africa vary from 1.21016 to 2.51016 Bq and estimates for the facility in Indonesia vary from 6.11013 to 3.61014 Bq. Although some releases from the facility in Argentina may reach these IMS sampling locations, the solution to the objective function is insensitive to the magnitude of those releases.

  7. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...

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

    It contains estimates for material and manufacturing cost of complete 80 kWnet direct hydrogen proton exchange membrane fuel cell systems suitable for powering light duty ...

  8. ARM Best Estimate Data (ARMBE) Products for Climate Science for a Sustainable Energy Future (CSSEF)

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

    Riihimaki, Laura; Gaustad, Krista; McFarlane, Sally

    This data set was created for the Climate Science for a Sustainable Energy Future (CSSEF) model testbed project and is an extension of the hourly average ARMBE dataset to other extended facility sites and to include uncertainty estimates. Uncertainty estimates were needed in order to use uncertainty quantification (UQ) techniques with the data.

  9. ARM Best Estimate Data (ARMBE) Products for Climate Science for a Sustainable Energy Future (CSSEF)

    SciTech Connect (OSTI)

    Riihimaki, Laura; Gaustad, Krista; McFarlane, Sally

    2014-06-12

    This data set was created for the Climate Science for a Sustainable Energy Future (CSSEF) model testbed project and is an extension of the hourly average ARMBE dataset to other extended facility sites and to include uncertainty estimates. Uncertainty estimates were needed in order to use uncertainty quantification (UQ) techniques with the data.

  10. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis

    SciTech Connect (OSTI)

    none,

    2009-09-01

    This independent review examines DOE cost targets for state-of-the art hydrogen production using water electrolysis.

  11. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis: Independent Review

    SciTech Connect (OSTI)

    Not Available

    2009-09-01

    This independent review examines DOE cost targets for state-of-the art hydrogen production using water electrolysis.

  12. Mass Production Cost Estimation of Direct H2 PEM Fuel Cell Systems...

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

    In this multi-year project, SA estimates the material and manufacturing costs of complete 80 kWnet direct-hydrogen proton exchange membrane (PEM) fuel cell systems suitable for ...

  13. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...

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

    It contains estimates for material and manufacturing costs of complete 80 kWnet direct-hydrogen proton exchange membrane fuel cell systems suitable for powering light-duty ...

  14. Radiatively Important Parameters Best Estimate (RIPBE): An ARM Value-Added Product

    SciTech Connect (OSTI)

    McFarlane, S; Shippert, T; Mather, J

    2011-06-30

    The Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to create a complete set of clearly identified set of parameters on a uniform vertical and temporal grid to use as input to a radiative transfer model. One of the main drivers for RIPBE was as input to the Broadband Heating Rate Profile (BBHRP) VAP, but we also envision using RIPBE files for user-run radiative transfer codes, as part of cloud/aerosol retrieval testbeds, and as input to averaged datastreams for model evaluation.

  15. Savings estimates for the United States Environmental Protection Agency?s ENERGY STAR voluntary product labeling program

    SciTech Connect (OSTI)

    Sanchez, Marla Christine; Sanchez, Marla Christine; Brown, Richard; Homan, Gregory; Webber, Carrie

    2008-06-03

    ENERGY STAR is a voluntary energy efficiency-labeling program operated jointly by the United States Department of Energy and the United States Environmental Protection Agency (US EPA). Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products. ENERGY STAR's central role in the development of regional, national, and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with committed stakeholders. Through 2006, US EPA?S ENERGY STAR labeled products saved 4.8 EJ of primary energy and avoided 82 Tg C equivalent. We project that US EPA?S ENERGY STAR labeled products will save 12.8 EJ and avoid 203 Tg C equivalent over the period 2007-2015. A sensitivity analysis examining two key inputs (carbon factor and ENERGY STAR unit sales) bounds the best estimate of carbon avoided between 54 Tg C and 107 Tg C (1993 to 2006) and between 132 Tg C and 278 Tg C (2007 to 2015).

  16. Coalbed Methane Estimated Production

    Gasoline and Diesel Fuel Update (EIA)

    1,966 1,914 1,886 1,763 1,655 1,466 1989-2013 Federal Offshore U.S. 0 0 0 0 0 0 2005-2013 Pacific (California) 0 0 0 0 0 0 2005-2013 Gulf of Mexico (Louisiana & Alabama) 0 0 0 0 0...

  17. Lease Condensate Estimated Production

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

    78 224 231 274 311 326 1979-2014 Federal Offshore U.S. 48 48 40 40 30 32 1981-2014 Pacific (California) 0 0 0 0 0 0 1979-2014 Gulf of Mexico (Louisiana & Alabama) 28 28 24 20 14 15...

  18. Coalbed Methane Estimated Production

    Gasoline and Diesel Fuel Update (EIA)

    ,914 1,886 1,763 1,655 1,466 1,404 1989-2014 Federal Offshore U.S. 0 0 0 0 0 0 2005-2014 Pacific (California) 0 0 0 0 0 0 2005-2014 Gulf of Mexico (Louisiana & Alabama) 0 0 0 0 0 0 2005-2014 Gulf of Mexico (Texas) 0 0 0 0 0 0 2005-2014 Alaska 0 0 0 0 0 0 2005-2014 Lower 48 States 1,914 1,886 1,763 1,655 1,466 1,404 2005-2014 Alabama 105 102 98 91 62 78 1989-2014 Arkansas 3 3 4 2 2 2 2005-2014 California 0 0 0 0 0 0 2005-2014 Coastal Region Onshore 0 0 0 0 0 0 2005-2014 Los Angeles Basin

  19. VirtualToxLab A platform for estimating the toxic potential of drugs, chemicals and natural products

    SciTech Connect (OSTI)

    Vedani, Angelo; Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056 Basel ; Dobler, Max; Smieko, Martin

    2012-06-01

    The VirtualToxLab is an in silico technology for estimating the toxic potential (endocrine and metabolic disruption, some aspects of carcinogenicity and cardiotoxicity) of drugs, chemicals and natural products. The technology is based on an automated protocol that simulates and quantifies the binding of small molecules towards a series of proteins, known or suspected to trigger adverse effects. The toxic potential, a non-linear function ranging from 0.0 (none) to 1.0 (extreme), is derived from the individual binding affinities of a compound towards currently 16 target proteins: 10 nuclear receptors (androgen, estrogen ?, estrogen ?, glucocorticoid, liver X, mineralocorticoid, peroxisome proliferator-activated receptor ?, progesterone, thyroid ?, and thyroid ?), four members of the cytochrome P450 enzyme family (1A2, 2C9, 2D6, and 3A4), a cytosolic transcription factor (aryl hydrocarbon receptor) and a potassium ion channel (hERG). The interface to the technology allows building and uploading molecular structures, viewing and downloading results and, most importantly, rationalizing any prediction at the atomic level by interactively analyzing the binding mode of a compound with its target protein(s) in real-time 3D. The VirtualToxLab has been used to predict the toxic potential for over 2500 compounds: the results are posted on (http://www.virtualtoxlab.org). The free platform the OpenVirtualToxLab is accessible (in clientserver mode) over the Internet. It is free of charge for universities, governmental agencies, regulatory bodies and non-profit organizations. -- Highlights: ? In silico technology for estimating the toxic potential of drugs and chemicals. ? Simulation of binding towards 16 proteins suspected to trigger adverse effects. ? Mechanistic interpretation and real-time 3D visualization. ? Accessible over the Internet. ? Free of charge for universities, governmental agencies, regulatory bodies and NPOs.

  20. Estimates of global, regional, and national annual CO{sub 2} emissions from fossil-fuel burning, hydraulic cement production, and gas flaring: 1950--1992

    SciTech Connect (OSTI)

    Boden, T.A.; Marland, G.; Andres, R.J.

    1995-12-01

    This document describes the compilation, content, and format of the most comprehensive C0{sub 2}-emissions database currently available. The database includes global, regional, and national annual estimates of C0{sub 2} emissions resulting from fossil-fuel burning, cement manufacturing, and gas flaring in oil fields for 1950--92 as well as the energy production, consumption, and trade data used for these estimates. The methods of Marland and Rotty (1983) are used to calculate these emission estimates. For the first time, the methods and data used to calculate CO, emissions from gas flaring are presented. This C0{sub 2}-emissions database is useful for carbon-cycle research, provides estimates of the rate at which fossil-fuel combustion has released C0{sub 2} to the atmosphere, and offers baseline estimates for those countries compiling 1990 C0{sub 2}-emissions inventories.

  1. Mass Production Cost Estimation For Direct H2 PEM Fuel Cell Systesm for Automotive Applications: 2010 Update

    Fuel Cell Technologies Publication and Product Library (EERE)

    This report is the fourth annual update of a comprehensive automotive fuel cell cost analysis. It contains estimates for material and manufacturing costs of complete 80 kWnet direct‐hydrogen proton ex

  2. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2008 Update

    Fuel Cell Technologies Publication and Product Library (EERE)

    This report estimates fuel cell system cost for systems produced in the years 2006, 2010, and 2015, and is the second annual update of a comprehensive automotive fuel cell cost analysis.

  3. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2009 Update

    Fuel Cell Technologies Publication and Product Library (EERE)

    This report is the third annual update of a comprehensive automotive fuel cell cost analysis. It contains estimates for material and manufacturing cost of complete 80 kWnet direct hydrogen proton exch

  4. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2007 Update

    SciTech Connect (OSTI)

    James, Brian D.; Kalinoski, Jeffrey A.

    2008-02-29

    This report estimates fuel cell system cost for systems produced in the years 2007, 2010, and 2015, and is the first annual update of a comprehensive automotive fuel cell cost analysis.

  5. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications. 2008 Update

    SciTech Connect (OSTI)

    James, Brian D.; Kalinoski, Jeffrey A.

    2009-03-26

    This report estimates fuel cell system cost for systems produced in the years 2006, 2010, and 2015, and is the second annual update of a comprehensive automotive fuel cell cost analysis.

  6. Mass Production Cost Estimation For Direct H2 PEM Fuel Cell Systesm for Automotive Applications. 2010 Update

    SciTech Connect (OSTI)

    James, Brian D.; Kalinoski, Jeffrey A.; Baum, Kevin N.

    2010-09-30

    This report is the fourth annual update of a comprehensive automotive fuel cell cost analysis. It contains estimates for material and manufacturing costs of complete 80 kWnet direct-hydrogen proton exchange membrane fuel cell systems suitable for powering light-duty automobiles.

  7. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications. 2009 Update

    SciTech Connect (OSTI)

    James, Brian D.; Kalinoski, Jeffrey A.; Baum, Kevin N.

    2010-01-01

    This report is the third annual update of a comprehensive automotive fuel cell cost analysis. It contains estimates for material and manufacturing cost of complete 80 kWnet direct hydrogen proton exchange membrane fuel cell systems suitable for powering light duty automobiles.

  8. Commissioning the neutron production of a Linac: Development of a simple tool for second cancer risk estimation

    SciTech Connect (OSTI)

    Romero-Expsito, M.; Snchez-Nieto, B.; Terrn, J. A.; Lopes, M. C.; Ferreira, B. C.; Grishchuk, D.; Sandn, C.; Moral-Snchez, S.; Melchor, M.; Domingo, C.; and others

    2015-01-15

    Purpose: Knowing the contribution of neutron to collateral effects in treatments is both a complex and a mandatory task. This work aims to present an operative procedure for neutron estimates in any facility using a neutron digital detector. Methods: The authors previous work established a linear relationship between the total second cancer risk due to neutrons (TR{sup n}) and the number of MU of the treatment. Given that the digital detector also presents linearity with MU, its response can be used to determine the TR{sup n} per unit MU, denoted as m, normally associated to a generic Linac model and radiotherapy facility. Thus, from the number of MU of each patient treatment, the associated risk can be estimated. The feasibility of the procedure was tested by applying it in eight facilities; patients were evaluated as well. Results: From the reading of the detector under selected irradiation conditions, m values were obtained for different machines, ranging from 0.25 10{sup ?4}% per MU for an Elekta Axesse at 10 MV to 6.5 10{sup ?4}% per MU for a Varian Clinac at 18 MV. Using these values, TR{sup n} of patients was estimated in each facility and compared to that from the individual evaluation. Differences were within the range of uncertainty of the authors methodology of equivalent dose and risk estimations. Conclusions: The procedure presented here allows an easy estimation of the second cancer risk due to neutrons for any patient, given the number of MU of the treatment. It will enable the consideration of this information when selecting the optimal treatment for a patient by its implementation in the treatment planning system.

  9. Estimating Methods

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.

  10. Natural Gas Liquids Estimated Production

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

    802 827 788 811 831 840 1979-2008 Federal Offshore U.S. 148 155 123 125 127 94 1981-2008 Pacific (California) 0 0 0 0 0 0 1979-2008 Gulf of Mexico (Louisiana & Alabama) 120 127 98 102 108 80 1981-2008 Gulf of Mexico (Texas) 28 28 25 23 19 14 1981-2008 Alaska 18 18 17 14 13 13 1979-2008 Lower 48 States 784 809 771 797 818 827 1979-2008 Alabama 5 4 5 5 4 9 1979-2008 Arkansas 0 0 0 0 0 0 1979-2008 California 10 10 11 11 11 11 1979-2008 Coastal Region Onshore 1 1 1 1 1 1 1979-2008 Los Angeles

  11. Shale Natural Gas Estimated Production

    Gasoline and Diesel Fuel Update (EIA)

    2,116 3,110 5,336 7,994 10,371 11,415 2007-2013 Alaska 0 0 0 0 0 0 2007-2013 Lower 48 States 2,116 3,110 5,336 7,994 10,371 11,415 2007-2013 Alabama 0 0 0 2007-2010 Arkansas 279...

  12. Shale Natural Gas Estimated Production

    Gasoline and Diesel Fuel Update (EIA)

    3,110 5,336 7,994 10,371 11,415 13,447 2007-2014 Alaska 0 0 0 0 0 0 2007-2014 Lower 48 States 3,110 5,336 7,994 10,371 11,415 13,447 2007-2014 Alabama 0 0 2007-2010 Arkansas 527...

  13. Crude Oil Production

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

    revised monthly production estimates by state published in Petroleum Navigator. Crude oil production quantities are estimated by state and summed to the PADD and the U.S....

  14. Application of high-resolution time-of-flight chemical ionization mass spectrometry measurements to estimate volatility distributions of α-pinene and naphthalene oxidation products

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

    Chhabra, P. S.; Lambe, A. T.; Canagaratna, M. R.; Stark, H.; Jayne, J. T.; Onasch, T. B.; Davidovits, P.; Kimmel, J. R.; Worsnop, D. R.

    2015-01-05

    Recent developments in high-resolution time-of-flight chemical ionization mass spectrometry (HR-ToF-CIMS) have made it possible to directly detect atmospheric organic compounds in real time with high sensitivity and with little or no fragmentation, including low-volatility, highly oxygenated organic vapors that are precursors to secondary organic aerosol formation. Here, using ions identified by high-resolution spectra from an HR-ToF-CIMS with acetate reagent ion chemistry, we develop an algorithm to estimate the vapor pressures of measured organic acids. The algorithm uses identified ion formulas and calculated double bond equivalencies, information unavailable in quadrupole CIMS technology, as constraints for the number of possible oxygen-containing functionalmore » groups. The algorithm is tested with acetate chemical ionization mass spectrometry (acetate-CIMS) spectra of O3 and OH oxidation products of α-pinene and naphthalene formed in a flow reactor with integrated OH exposures ranged from 1.2 × 1011 to 9.7 × 1011 molec s cm−3, corresponding to approximately 1.0 to 7.5 days of equivalent atmospheric oxidation. Measured gas-phase organic acids are similar to those previously observed in environmental chamber studies. For both precursors, we find that acetate-CIMS spectra capture both functionalization (oxygen addition) and fragmentation (carbon loss) as a function of OH exposure. The level of fragmentation is observed to increase with increased oxidation. The predicted condensed-phase secondary organic aerosol (SOA) average acid yields and O/C and H/C ratios agree within uncertainties with previous chamber and flow reactor measurements and ambient CIMS results. While acetate reagent ion chemistry is used to selectively measure organic acids, in principle this method can be applied to additional reagent ion chemistries depending on the application.« less

  15. ARM Climate Modeling Best Estimate Barrow, AK with additional satellite product (ARMBE-CLDRAD NSAC1 V2.1a)

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

    McCoy, Renata; Xie, Shaocheng

    2011-02-07

    The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

  16. ARM Climate Modeling Best Estimate from Darwin, AU with additional satellite product (ARMBE-CLDRAD TWPC3 V2.1a)

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

    McCoy, Renata; Xie, Shaocheng

    2011-02-07

    The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

  17. ARM Climate Modeling Best Estimate from Manus Island, PNG with additional satellite product (ARMBE-CLDRAD TWPC1 V2.1a)

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

    McCoy, Renata; Xie, Shaocheng

    2011-02-07

    The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

  18. ARM Climate Modeling Best Estimate from Nauru with additional satellite product (ARMBE-CLDRAD TWPC2 V2.1a)

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

    McCoy, Renata; Xie, Shaocheng

    2011-02-07

    The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

  19. ARM Climate Modeling Best Estimate from Darwin, AU with additional satellite product (ARMBE-CLDRAD TWPC3 V2.1a)

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

    McCoy, Renata; Xie, Shaocheng

    The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

  20. ARM Climate Modeling Best Estimate from Manus Island, PNG with additional satellite product (ARMBE-CLDRAD TWPC1 V2.1a)

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

    McCoy, Renata; Xie, Shaocheng

    The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

  1. ARM Climate Modeling Best Estimate from Nauru with additional satellite product (ARMBE-CLDRAD TWPC2 V2.1a)

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

    McCoy, Renata; Xie, Shaocheng

    The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

  2. ARM Climate Modeling Best Estimate Barrow, AK with additional satellite product (ARMBE-CLDRAD NSAC1 V2.1a)

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

    McCoy, Renata; Xie, Shaocheng

    The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

  3. Supercooled liquid water Estimation Tool

    Energy Science and Technology Software Center (OSTI)

    2012-05-04

    The Cloud Supercooled liquid water Estimation Tool (SEET) is a user driven Graphical User Interface (GUI) that estimates cloud supercooled liquid water (SLW) content in terms of vertical column and total mass from Moderate resolution Imaging Supercooled liquid water Estimation Tool Spectroradiometer (MODIS) spatially derived cloud products and realistic vertical cloud parameterizations that are user defined. It also contains functions for post-processing of the resulting data in tabular and graphical form.

  4. Bias estimates used in lieu of validation of fission products and minor actinides in MCNP Keff calculations for PWR burnup credit casks

    SciTech Connect (OSTI)

    Mueller, Don E.; Marshall, William J.; Wagner, John C.; Bowen, Douglas G.

    2015-09-01

    The U.S. Nuclear Regulatory Commission (NRC) Division of Spent Fuel Storage and Transportation recently issued Interim Staff Guidance (ISG) 8, Revision 3. This ISG provides guidance for burnup credit (BUC) analyses supporting transport and storage of PWR pressurized water reactor (PWR) fuel in casks. Revision 3 includes guidance for addressing validation of criticality (keff) calculations crediting the presence of a limited set of fission products and minor actinides (FP&MA). Based on previous work documented in NUREG/CR-7109, recommendation 4 of ISG-8, Rev. 3, includes a recommendation to use 1.5 or 3% of the FP&MA worth to conservatively cover the bias due to the specified FP&MAs. This bias is supplementary to the bias and bias uncertainty resulting from validation of keff calculations for the major actinides in SNF and does not address extension to actinides and fission products beyond those identified herein. The work described in this report involves comparison of FP&MA worths calculated using SCALE and MCNP with ENDF/B-V, -VI, and -VII based nuclear data and supports use of the 1.5% FP&MA worth bias when either SCALE or MCNP codes are used for criticality calculations, provided the other conditions of the recommendation 4 are met. The method used in this report may also be applied to demonstrate the applicability of the 1.5% FP&MA worth bias to other codes using ENDF/B V, VI or VII based nuclear data. The method involves use of the applicant s computational method to generate FP&MA worths for a reference SNF cask model using specified spent fuel compositions. The applicant s FP&MA worths are then compared to reference values provided in this report. The applicants FP&MA worths should not exceed the reference results by more than 1.5% of the reference FP&MA worths.

  5. Contribution to the development of DOE ARM Climate Modeling Best Estimate Data (CMBE) products: Satellite data over the ARM permanent and AMF sites: Final Report

    SciTech Connect (OSTI)

    Xie, B; Dong, X; Xie, S

    2012-05-18

    To support the LLNL ARM infrastructure team Climate Modeling Best Estimate (CMBE) data development, the University of North Dakota (UND)'s group will provide the LLNL team the NASA CERES and ISCCP satellite retrieved cloud and radiative properties for the periods when they are available over the ARM permanent research sites. The current available datasets, to date, are as follows: the CERES/TERRA during 200003-200812; the CERES/AQUA during 200207-200712; and the ISCCP during 199601-200806. The detailed parameters list below: (1) CERES Shortwave radiative fluxes (net and downwelling); (2) CERES Longwave radiative fluxes (upwelling) - (items 1 & 2 include both all-sky and clear-sky fluxes); (3) CERES Layered clouds (total, high, middle, and low); (4) CERES Cloud thickness; (5) CERES Effective cloud height; (6) CERES cloud microphysical/optical properties; (7) ISCCP optical depth cloud top pressure matrix; (8) ISCCP derived cloud types (r.g., cirrus, stratus, etc.); and (9) ISCCP infrared derived cloud top pressures. (10) The UND group shall apply necessary quality checks to the original CERES and ISCCP data to remove suspicious data points. The temporal resolution for CERES data should be all available satellite overpasses over the ARM sites; for ISCCP data, it should be 3-hourly. The spatial resolution is the closest satellite field of view observations to the ARM surface sites. All the provided satellite data should be in a format that is consistent with the current ARM CMBE dataset so that the satellite data can be easily merged into the CMBE dataset.

  6. Estimation of ovular fiber production in cotton

    DOE Patents [OSTI]

    Van't Hof, Jack (Brookhaven, NY)

    1998-09-01

    The present invention is a method for rendering cotton fiber cells that are post-anthesis and pre-harvest available for analysis of their physical properties. The method includes the steps of hydrolyzing cotton fiber cells and separating cotton fiber cells from cotton ovules thereby rendering the cells available for analysis. The analysis of the fiber cells is through any suitable means, e.g., visual inspection. Visual inspection of the cells can be accomplished by placing the cells under an instrument for detection, such as microscope or other means.

  7. Estimation of ovular fiber production in cotton

    DOE Patents [OSTI]

    Van`t Hof, J.

    1998-09-01

    The present invention is a method for rendering cotton fiber cells that are post-anthesis and pre-harvest available for analysis of their physical properties. The method includes the steps of hydrolyzing cotton fiber cells and separating cotton fiber cells from cotton ovules thereby rendering the cells available for analysis. The analysis of the fiber cells is through any suitable means, e.g., visual inspection. Visual inspection of the cells can be accomplished by placing the cells under an instrument for detection, such as microscope or other means. 4 figs.

  8. Dry Natural Gas Estimated Production (Summary)

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

    1,594 22,239 23,555 24,912 25,233 26,611 1977-2014 Federal Offshore Gulf of Mexico 1992-2007 Alabama 254 223 218 214 175 176 1977-2014 Alaska 358 317 327 299 285 304 1977-2014...

  9. Dry Natural Gas Reserves Estimated Production

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

    1,594 22,239 23,555 24,912 25,233 26,611 1977-2014 Federal Offshore U.S. 2,377 2,154 1,660 1,360 1,198 1,148 1990-2014 Pacific (California) 37 28 31 22 21 20 1977-2014 Gulf of...

  10. Estimating Appliance and Home Electronic Energy Use | Department of Energy

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

    Electricity & Fuel » Appliances & Electronics » Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use Our appliance and electronic energy use calculator allows you to estimate your annual energy use and cost to operate specific products. The wattage values provided are samples only; actual wattage of products varies depending on product age and features. Enter a wattage value for your own product for the most accurate estimate. Wattage

  11. EIA-914 monthly production report

    Gasoline and Diesel Fuel Update (EIA)

    & Other Liquids Reports Monthly Crude Oil and Natural Gas Production Release date: February 29, 2016 | Next release date: March 31, 2016 These monthly production estimates are based on data from the EIA-914, Monthly Crude Oil, Lease Condensate, and Natural Gas Production Report. Beginning in January 2015, ten states were added to the EIA-914, bringing to 16 the number of states/areas with individual coverage, and crude oil production estimates were introduced. Estimates based on the EIA-914

  12. Cost Estimation Package

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    This chapter focuses on the components (or elements) of the cost estimation package and their documentation.

  13. Check Estimates and Independent Costs

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    Check estimates and independent cost estimates (ICEs) are tools that can be used to validate a cost estimate. Estimate validation entails an objective review of the estimate to ensure that estimate criteria and requirements have been met and well documented, defensible estimate has been developed. This chapter describes check estimates and their procedures and various types of independent cost estimates.

  14. Types of Cost Estimates

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    The chapter describes the estimates required on government-managed projects for both general construction and environmental management.

  15. Estimating Appliance and Home Electronic Energy Use | Department...

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

    and electronic energy use calculator allows you to estimate your annual energy use and cost to operate specific products. The wattage values provided are samples only; actual...

  16. A Protocol for Estimating and Mapping Global EGS Potential |...

    Open Energy Info (EERE)

    with public Reporting Codes * Present results using common visualization and data architecture The goal of the Protocol is the production of regional estimates and maps of EGS...

  17. Reservoir Temperature Estimator

    Energy Science and Technology Software Center (OSTI)

    2014-12-08

    The Reservoir Temperature Estimator (RTEst) is a program that can be used to estimate deep geothermal reservoir temperature and chemical parameters such as CO2 fugacity based on the water chemistry of shallower, cooler reservoir fluids. This code uses the plugin features provided in The Geochemist’s Workbench (Bethke and Yeakel, 2011) and interfaces with the model-independent parameter estimation code Pest (Doherty, 2005) to provide for optimization of the estimated parameters based on the minimization of themore » weighted sum of squares of a set of saturation indexes from a user-provided mineral assemblage.« less

  18. Estimating Specialty Costs

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.

  19. Derived Annual Estimates

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

    74-1988 For Methodology Concerning the Derived Estimates Total Consumption of Offsite-Produced Energy for Heat and Power by Industry Group, 1974-1988 Total Energy *** Electricity...

  20. Cost Estimating Guide

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-05-09

    This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates. No cancellations.

  1. Cost Estimating Guide

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2011-05-09

    This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates.

  2. Microsoft PowerPoint - SEDS Production cover.pptx

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

    Energy Production Estimates 1960 Through 2010 2010 Summary Tables 2010 Summary Tables Table P1. Energy Production Estimates in Physical Units, 2010 Alabama 20,396 222,932 7,102 0...

  3. Magnetic nanoparticle temperature estimation

    SciTech Connect (OSTI)

    Weaver, John B.; Rauwerdink, Adam M.; Hansen, Eric W.

    2009-05-15

    The authors present a method of measuring the temperature of magnetic nanoparticles that can be adapted to provide in vivo temperature maps. Many of the minimally invasive therapies that promise to reduce health care costs and improve patient outcomes heat tissue to very specific temperatures to be effective. Measurements are required because physiological cooling, primarily blood flow, makes the temperature difficult to predict a priori. The ratio of the fifth and third harmonics of the magnetization generated by magnetic nanoparticles in a sinusoidal field is used to generate a calibration curve and to subsequently estimate the temperature. The calibration curve is obtained by varying the amplitude of the sinusoidal field. The temperature can then be estimated from any subsequent measurement of the ratio. The accuracy was 0.3 deg. K between 20 and 50 deg. C using the current apparatus and half-second measurements. The method is independent of nanoparticle concentration and nanoparticle size distribution.

  4. Estimating Appliance and Home Electronic Energy Use | Department...

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

    Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo...

  5. Use of Cost Estimating Relationships

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    Cost Estimating Relationships (CERs) are an important tool in an estimator's kit, and in many cases, they are the only tool. Thus, it is important to understand their limitations and characteristics. This chapter discusses considerations of which the estimator must be aware so the Cost Estimating Relationships can be properly used.

  6. Microsoft PowerPoint - Cost Estimating for Hydro Planning

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

    Cost Estimating for Hydropower Project Planning M Th Mona Thomason Chief, Product Coordination Branch Hydroelectric Design Center 13 J 2012 13 June 2012 US Army Corps of Engineers BUILDING STRONG ® Overview Overview  Background g  USACE hydropower project cost estimating y p p j g process  Challenges in cost estimating & strategies for mitigation of cost risk BUILDING STRONG ® HYDROELECTRIC DESIGN CENTER 2 USACE regulations USACE regulations  ER 1110-1-1300 Cost Engineering

  7. Automated Estimating System

    Energy Science and Technology Software Center (OSTI)

    1996-04-15

    AES6.1 is a PC software package developed to aid in the preparation and reporting of cost estimates. AES6.1 provides an easy means for entering and updating the detailed cost, schedule information, project work breakdown structure, and escalation information contained in a typical project cost estimate through the use of menus and formatted input screens. AES6.1 combines this information to calculate both unescalated and escalated cost for a project which can be reported at varying levelsmore » of detail. Following are the major modifications to AES6.0f: Contingency update was modified to provide greater flexibility for user updates, Schedule Update was modified to provide user ability to schedule Bills of Material at the WBS/Participant/Cost Code level, Schedule Plot was modified to graphically show schedule by WBS/Participant/Cost Code, All Fiscal Year reporting has been modified to use the new schedule format, The Schedule 1-B-7, Cost Schedule, and the WBS/Participant reprorts were modified to determine Phase of Work from the B/M Cost Code, Utility program was modified to allow selection by cost code and update cost code in the Global Schedule update, Generic summary and line item download were added to the utility program, and an option was added to all reports which allows the user to indicate where overhead is to be reported (bottom line or in body of report)« less

  8. Estimation of net primary productivity using a process-based...

    Office of Scientific and Technical Information (OSTI)

    The ecological structure in the arid and semi-arid region of Northwest China with forest, grassland, agriculture, Gobi, and desert, is complex, vulnerable, and unstable. It is a ...

  9. Nonassociated Natural Gas Estimated Production, Wet After Lease...

    Gasoline and Diesel Fuel Update (EIA)

    20,779 21,899 22,704 22,353 22,817 1979-2014 Federal Offshore U.S. 1,779 1,660 1,210 894 691 592 1990-2014 Pacific (California) 1 1 0 0 0 0 1979-2014 Gulf of Mexico (Louisiana &...

  10. Estimated Production of Natural Gas, Wet After Lease Separation

    Gasoline and Diesel Fuel Update (EIA)

    2,537 23,224 24,621 26,097 26,467 28,094 1979-2014 Federal Offshore U.S. 2,438 2,224 1,724 1,429 1,253 1,207 1990-2014 Pacific (California) 37 29 31 22 21 21 1979-2014 Gulf of Mexico (Louisiana & Alabama) 1,947 1,786 1,375 1,121 986 932 1981-2014 Gulf of Mexico (Texas) 454 409 318 286 246 254 1981-2014 Alaska 361 319 328 301 289 305 1979-2014 Lower 48 States 22,176 22,905 24,293 25,796 26,178 27,789 1979-2014 Alabama 261 231 226 221 183 184 1979-2014 Arkansas 698 952 1,080 1,152 1,141 1,143

  11. Associated-Dissolved Natural Gas Estimated Production, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    Separation 2,556 2,445 2,722 3,393 4,114 5,277 1979-2014 Federal Offshore U.S. 659 564 514 535 562 615 1990-2014 Pacific (California) 36 28 31 22 21 21 1979-2014 Gulf of Mexico (Louisiana & Alabama) 522 468 415 411 435 464 1981-2014 Gulf of Mexico (Texas) 101 68 68 102 106 130 1981-2014 Alaska 225 174 176 172 181 204 1979-2014 Lower 48 States 2,331 2,271 2,546 3,221 3,933 5,073 1979-2014 Alabama 5 6 8 17 9 17 1979-2014 Arkansas 4 4 6 9 9 10 1979-2014 California 171 186 260 155 157 147

  12. Question/comment: An estimate of the direct productive labor...

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

    labor hours (DPLH) per labor category is not provided in the Request for Proposal for DE-SOL-0005388. Will the Government provide such information so that Offerors may develop a...

  13. Louisiana Dry Natural Gas Reserves Estimated Production (Billion...

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

    Year-9 1980's 2,482 1,741 1,625 1,691 1,687 1990's 1,596 1,527 1,494 1,457 1,453 1,403 1,521 1,496 1,403 1,421 2000's 1,443 1,479 1,338 1,280 1,322 1,206 1,309 1,257 1,319...

  14. Domestic Uranium Production Report

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

    2. U.S. uranium mine production and number of mines and sources, 2003-14 Production / Mining method 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Underground (estimated contained thousand pounds U3O8) W W W W W W W W W W W W Open Pit (estimated contained thousand pounds U3O8) 0 0 0 0 0 0 0 0 0 0 0 0 In-Situ Leaching (thousand pounds U3O8) W W 2,681 4,259 W W W W W W W W Other1 (thousand pounds U3O8) W W W W W W W W W W W W Total Mine Production (thousand pounds U3O8) E2,200 2,452

  15. Cost Estimating, Analysis, and Standardization

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1984-11-02

    To establish policy and responsibilities for: (a) developing and reviewing project cost estimates; (b) preparing independent cost estimates and analysis; (c) standardizing cost estimating procedures; and (d) improving overall cost estimating and analytical techniques, cost data bases, cost and economic escalation models, and cost estimating systems. Cancels DOE O 5700.2B, dated 8-5-1983; DOE O 5700.8, dated 5-27-1981; and HQ 1130.1A, dated 12-30-1981. Canceled by DOE O 5700.2D, dated 6-12-1992

  16. Domestic Uranium Production Report

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

    10. Uranium reserve estimates at the end of 2013 and 2014 million pounds U3O8 End of 2013 End of 2014 Forward Cost2 Uranium Reserve Estimates1 by Mine and Property Status, Mining Method, and State(s) $0 to $30 per pound $0 to $50 per pound $0 to $100 per pound $0 to $30 per pound $0 to $50 per pound $0 to $100 per pound Properties with Exploration Completed, Exploration Continuing, and Only Assessment Work W W 130.7 W W 154.6 Properties Under Development for Production and Development Drilling W

  17. AN OVERVIEW OF TOOL FOR RESPONSE ACTION COST ESTIMATING (TRACE)

    SciTech Connect (OSTI)

    FERRIES SR; KLINK KL; OSTAPKOWICZ B

    2012-01-30

    Tools and techniques that provide improved performance and reduced costs are important to government programs, particularly in current times. An opportunity for improvement was identified for preparation of cost estimates used to support the evaluation of response action alternatives. As a result, CH2M HILL Plateau Remediation Company has developed Tool for Response Action Cost Estimating (TRACE). TRACE is a multi-page Microsoft Excel{reg_sign} workbook developed to introduce efficiencies into the timely and consistent production of cost estimates for response action alternatives. This tool combines costs derived from extensive site-specific runs of commercially available remediation cost models with site-specific and estimator-researched and derived costs, providing the best estimating sources available. TRACE also provides for common quantity and key parameter links across multiple alternatives, maximizing ease of updating estimates and performing sensitivity analyses, and ensuring consistency.

  18. Robust and intelligent bearing estimation

    DOE Patents [OSTI]

    Claassen, John P. (Albuquerque, NM)

    2000-01-01

    A method of bearing estimation comprising quadrature digital filtering of event observations, constructing a plurality of observation matrices each centered on a time-frequency interval, determining for each observation matrix a parameter such as degree of polarization, linearity of particle motion, degree of dyadicy, or signal-to-noise ratio, choosing observation matrices most likely to produce a set of best available bearing estimates, and estimating a bearing for each observation matrix of the chosen set.

  19. ARM - VAP Product - abrfcprecip

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

    Productsabrfcabrfcprecip Documentation abrfc : XDC documentation Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : ABRFCPRECIP Arkansas-Red Basin River Forecast Center: estimated precipitation Active Dates 1994.06.24 - 2016.03.07 Originating VAP Process Arkansas-Red Basin River Forecast Center : ABRFC Measurements The measurements below provided by this product

  20. Energy savings estimates and cost benefit calculations for high performance

    Office of Scientific and Technical Information (OSTI)

    relocatable classrooms (Technical Report) | SciTech Connect Technical Report: Energy savings estimates and cost benefit calculations for high performance relocatable classrooms Citation Details In-Document Search Title: Energy savings estimates and cost benefit calculations for high performance relocatable classrooms × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and

  1. Source term estimation during incident response to severe nuclear power

    Office of Scientific and Technical Information (OSTI)

    plant accidents (Technical Report) | SciTech Connect Source term estimation during incident response to severe nuclear power plant accidents Citation Details In-Document Search Title: Source term estimation during incident response to severe nuclear power plant accidents × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and is provided as a public service. Visit OSTI to

  2. Examples of Cost Estimation Packages

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    Estimates can be performed in a variety of ways. Some of these are for projects for an undefined scope, a conventional construction project, or where there is a level of effort required to complete the work. Examples of cost estimation packages for these types of projects are described in this appendix.

  3. Derived Annual Estimates of Manufacturing Energy Consumption...

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

    > Derived Annual Estimates - Executive Summary Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988 Figure showing Derived Estimates Executive Summary This...

  4. GAO Cost Estimating and Assessment Guide

    Broader source: Energy.gov [DOE]

    GAO Cost Estimating and Assessment Guide: Twelve Steps of a High-Quality Cost Estimating Process, from the first step of defining the estimate's purpose to the last step of updating the estimate to reflect actual costs and changes.

  5. 2014 Domestic Uranium Production Report

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

    2. U.S. uranium mine production and number of mines and sources, 2003-14" "Production / Mining Method",2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014 "Underground" "(estimated contained thousand pounds U3O8)","W","W","W","W","W","W","W","W","W","W","W","W" "Open Pit" "(estimated contained thousand pounds

  6. Module: Estimating Historical Emissions from Deforestation |...

    Open Energy Info (EERE)

    Website: www.leafasia.orgtoolstechnical-guidance-series-estimating-historical Cost: Free Language: English Module: Estimating Historical Emissions from Deforestation Screenshot...

  7. Estimate Radiological Dose for Animals

    Energy Science and Technology Software Center (OSTI)

    1997-12-18

    Estimate Radiological dose for animals in ecological environment using open literature values for parameters such as body weight, plant and soil ingestion rate, rad. halflife, absorbed energy, biological halflife, gamma energy per decay, soil-to-plant transfer factor, ...etc

  8. Estimates of Green potentials. Applications

    SciTech Connect (OSTI)

    Danchenko, V I

    2003-02-28

    Optimal Cartan-type covers by hyperbolic discs of carriers of Green {alpha}-potentials are obtained in a simply connected domain in the complex plane and estimates of the potentials outside the carriers are presented. These results are applied to problems on the separation of singularities of analytic and harmonic functions. For instance, uniform and integral estimates in terms of Green capacities of components of meromorphic functions are obtained.

  9. Estimated Cost Description Determination Date:

    Office of Environmental Management (EM)

    Revised and posted 2/10/2011 *Title, Location Estimated Cost Description Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain $50,000 FONSI: uncertain Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain Total Estimated Cost $70,000 Attachment: Memo, Moody to Marcinowski, III, SUBJECT: NEPA 2011 APS for DOE-SRS, Dated: Annual NEPA Planning Summary Environmental Assessments (EAs) Expected to be Initiated in the Next

  10. GAO Cost Estimating and Assessment Guide Twelve Steps of a High-Quality Cost Estimating Process

    Office of Environmental Management (EM)

    GAO Cost Estimating and Assessment Guide Twelve Steps of a High-Quality Cost Estimating Process Step Description Associated task 1 Define estimate's purpose Determine estimate's purpose, required level of detail, and overall scope; Determine who will receive the estimate 2 Develop estimating plan Determine the cost estimating team and develop its master schedule; Determine who will do the independent cost estimate; Outline the cost estimating approach; Develop the estimate timeline 3 Define

  11. Hydrogen Production

    SciTech Connect (OSTI)

    2014-09-01

    This 2-page fact sheet provides a brief introduction to hydrogen production technologies. Intended for a non-technical audience, it explains how different resources and processes can be used to produce hydrogen. It includes an overview of research goals as well as “quick facts” about hydrogen energy resources and production technologies.

  12. Figure 7. Projected Production for the High Development Rate...

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

    7. Projected Production for the High Development Rate of Technically Recoverable Oil Estimated at 5 Percent, Mean, and 95 Percent Probabilities for the ANWR Coastal Plain of the...

  13. Figure 6. Projected Production for the Low Development Rate of...

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

    6. Projected Production for the Low Development Rate of Technically Recoverable Oil Estimated at 5 Percent, Mean, and 95 Percent Probabilities for the ANWR Coastal Plain of the...

  14. U. S. Energy Information Administration | Drilling Productivity...

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

    rigs and gas-directed rigs because once a well is completed it may produce both oil and ... from new wells. 4 The estimation of new-well production per rig uses several months of ...

  15. Weldon Spring historical dose estimate

    SciTech Connect (OSTI)

    Meshkov, N.; Benioff, P.; Wang, J.; Yuan, Y.

    1986-07-01

    This study was conducted to determine the estimated radiation doses that individuals in five nearby population groups and the general population in the surrounding area may have received as a consequence of activities at a uranium processing plant in Weldon Spring, Missouri. The study is retrospective and encompasses plant operations (1957-1966), cleanup (1967-1969), and maintenance (1969-1982). The dose estimates for members of the nearby population groups are as follows. Of the three periods considered, the largest doses to the general population in the surrounding area would have occurred during the plant operations period (1957-1966). Dose estimates for the cleanup (1967-1969) and maintenance (1969-1982) periods are negligible in comparison. Based on the monitoring data, if there was a person residing continually in a dwelling 1.2 km (0.75 mi) north of the plant, this person is estimated to have received an average of about 96 mrem/yr (ranging from 50 to 160 mrem/yr) above background during plant operations, whereas the dose to a nearby resident during later years is estimated to have been about 0.4 mrem/yr during cleanup and about 0.2 mrem/yr during the maintenance period. These values may be compared with the background dose in Missouri of 120 mrem/yr.

  16. ARM - Value-Added Products (VAP)

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

    govDataValue-Added Products Showcase Data ARM Best Estimate Data Products (ARMBE) This is a collection of data products that represents "best estimates" derived from several instruments and/or VAPs. We are interested in your feedback; please contact us. VAP Update Information on new, existing, and future value-added products for July l-September 30, 2015 is now available. Have a VAP idea? Use this form to let us know. Datastream Status Further details on the status of VAPs being

  17. Evaluation Product : Micro-ARSCL

    SciTech Connect (OSTI)

    Michael Jensen

    2014-07-31

    Microscale data product based on the increased temporal resolution of the MMCRs which includes information about the local maxima in each Doppler spectrum, uncertainty estimates for the Doppler moments of the primary peak, Doppler moment shape parameters (e.g., skewness and kurtosis), and more accurate identification of radar clutter.

  18. Isotopes Products

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

    Isotopes Products Isotopes Products Isotopes produced at Los Alamos National Laboratory are saving lives, advancing cutting-edge research and keeping the U.S. safe. Products stress and rest Stress and rest Rb-82 PET images in a patient with dipyridamole stress-inducible lateral wall and apical ischemia. (http://www.fac.org.ar/scvc/llave/image/machac/machaci.htm#f2,3,4) Strontium-82 is supplied to our customers for use in Sr-82/Rb-82 generator technologies. The generators in turn are supplied to

  19. Input-output model for MACCS nuclear accident impacts estimation

    SciTech Connect (OSTI)

    Outkin, Alexander V.; Bixler, Nathan E.; Vargas, Vanessa N

    2015-01-27

    Since the original economic model for MACCS was developed, better quality economic data (as well as the tools to gather and process it) and better computational capabilities have become available. The update of the economic impacts component of the MACCS legacy model will provide improved estimates of business disruptions through the use of Input-Output based economic impact estimation. This paper presents an updated MACCS model, bases on Input-Output methodology, in which economic impacts are calculated using the Regional Economic Accounting analysis tool (REAcct) created at Sandia National Laboratories. This new GDP-based model allows quick and consistent estimation of gross domestic product (GDP) losses due to nuclear power plant accidents. This paper outlines the steps taken to combine the REAcct Input-Output-based model with the MACCS code, describes the GDP loss calculation, and discusses the parameters and modeling assumptions necessary for the estimation of long-term effects of nuclear power plant accidents.

  20. Preliminary relative permeability estimates of methanehydrate-bearing sand

    SciTech Connect (OSTI)

    Seol, Yongkoo; Kneafsey, Timothy J.; Tomutsa, Liviu; Moridis,George J.

    2006-05-08

    The relative permeability to fluids in hydrate-bearing sediments is an important parameter for predicting natural gas production from gas hydrate reservoirs. We estimated the relative permeability parameters (van Genuchten alpha and m) in a hydrate-bearing sand by means of inverse modeling, which involved matching water saturation predictions with observations from a controlled waterflood experiment. We used x-ray computed tomography (CT) scanning to determine both the porosity and the hydrate and aqueous phase saturation distributions in the samples. X-ray CT images showed that hydrate and aqueous phase saturations are non-uniform, and that water flow focuses in regions of lower hydrate saturation. The relative permeability parameters were estimated at two locations in each sample. Differences between the estimated parameter sets at the two locations were attributed to heterogeneity in the hydrate saturation. Better estimates of the relative permeability parameters require further refinement of the experimental design, and better description of heterogeneity in the numerical inversions.

  1. Isotopes Products

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

    are saving lives, advancing cutting-edge research and keeping the U.S. safe. Products stress and rest Stress and rest Rb-82 PET images in a patient with dipyridamole...

  2. Hydrogen Production

    Fuel Cell Technologies Publication and Product Library (EERE)

    This 2-page fact sheet provides a brief introduction to hydrogen production technologies. Intended for a non-technical audience, it explains how different resources and processes can be used to produ

  3. Estimated Water Flows in 2005: United States

    SciTech Connect (OSTI)

    Smith, C A; Belles, R D; Simon, A J

    2011-03-16

    Flow charts depicting water use in the United States have been constructed from publicly available data and estimates of water use patterns. Approximately 410,500 million gallons per day of water are managed throughout the United States for use in farming, power production, residential, commercial, and industrial applications. Water is obtained from four major resource classes: fresh surface-water, saline (ocean) surface-water, fresh groundwater and saline (brackish) groundwater. Water that is not consumed or evaporated during its use is returned to surface bodies of water. The flow patterns are represented in a compact 'visual atlas' of 52 state-level (all 50 states in addition to Puerto Rico and the Virgin Islands) and one national water flow chart representing a comprehensive systems view of national water resources, use, and disposition.

  4. Chapter 17: Estimating Net Savings: Common Practices

    SciTech Connect (OSTI)

    Violette, D. M.; Rathbun, P.

    2014-09-01

    This chapter focuses on the methods used to estimate net energy savings in evaluation, measurement, and verification (EM&V) studies for energy efficiency (EE) programs. The chapter provides a definition of net savings, which remains an unsettled topic both within the EE evaluation community and across the broader public policy evaluation community, particularly in the context of attribution of savings to particular program. The chapter differs from the measure-specific Uniform Methods Project (UMP) chapters in both its approach and work product. Unlike other UMP resources that provide recommended protocols for determining gross energy savings, this chapter describes and compares the current industry practices for determining net energy savings, but does not prescribe particular methods.

  5. Mandatory Photovoltaic System Cost Estimate

    Broader source: Energy.gov [DOE]

    If the customer has a ratio of estimated monthly kilowatt-hour (kWh) usage to line extension mileage that is less than or equal to 1,000, the utility must provide the comparison at no cost. If the...

  6. Development of surface mine cost estimating equations

    SciTech Connect (OSTI)

    Not Available

    1980-09-26

    Cost estimating equations were developed to determine capital and operating costs for five surface coal mine models in Central Appalachia, Northern Appalachia, Mid-West, Far-West, and Campbell County, Wyoming. Engineering equations were used to estimate equipment costs for the stripping function and for the coal loading and hauling function for the base case mine and for several mines with different annual production levels and/or different overburden removal requirements. Deferred costs were then determined through application of the base case depreciation schedules, and direct labor costs were easily established once the equipment quantities (and, hence, manpower requirements) were determined. The data points were then fit with appropriate functional forms, and these were then multiplied by appropriate adjustment factors so that the resulting equations yielded the model mine costs for initial and deferred capital and annual operating cost. (The validity of this scaling process is based on the assumption that total initial and deferred capital costs are proportional to the initial and deferred costs for the primary equipment types that were considered and that annual operating cost is proportional to the direct labor costs that were determined based on primary equipment quantities.) Initial capital costs ranged from $3,910,470 in Central Appalachia to $49,296,785; deferred capital costs ranged from $3,220,000 in Central Appalachia to $30,735,000 in Campbell County, Wyoming; and annual operating costs ranged from $2,924,148 in Central Appalachia to $32,708,591 in Campbell County, Wyoming. (DMC)

  7. Estimates and Recommendations for Coincidence Geometry (Technical...

    Office of Scientific and Technical Information (OSTI)

    Estimates and Recommendations for Coincidence Geometry Citation Details In-Document Search Title: Estimates and Recommendations for Coincidence Geometry You are accessing a...

  8. Surface daytime net radiation estimation using artificial neural networks

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

    Jiang, Bo; Zhang, Yi; Liang, Shunlin; Zhang, Xiaotong; Xiao, Zhiqiang

    2014-11-11

    Net all-wave surface radiation (Rn) is one of the most important fundamental parameters in various applications. However, conventional Rn measurements are difficult to collect because of the high cost and ongoing maintenance of recording instruments. Therefore, various empirical Rn estimation models have been developed. This study presents the results of two artificial neural network (ANN) models (general regression neural networks (GRNN) and Neuroet) to estimate Rn globally from multi-source data, including remotely sensed products, surface measurements, and meteorological reanalysis products. Rn estimates provided by the two ANNs were tested against in-situ radiation measurements obtained from 251 global sites between 1991–2010more » both in global mode (all data were used to fit the models) and in conditional mode (the data were divided into four subsets and the models were fitted separately). Based on the results obtained from extensive experiments, it has been proved that the two ANNs were superior to linear-based empirical models in both global and conditional modes and that the GRNN performed better and was more stable than Neuroet. The GRNN estimates had a determination coefficient (R2) of 0.92, a root mean square error (RMSE) of 34.27 W·m–2 , and a bias of –0.61 W·m–2 in global mode based on the validation dataset. In conclusion, ANN methods are a potentially powerful tool for global Rn estimation.« less

  9. Bottom production

    SciTech Connect (OSTI)

    Baines, J.; Baranov, S.P.; Bartalini, P.; Bay, A.; Bouhova, E.; Cacciari, M.; Caner, A.; Coadou, Y.; Corti, G.; Damet, J.; Dell-Orso, R.; De Mello Neto, J.R.T.; Domenech, J.L.; Drollinger, V.; Eerola, P.; Ellis, N.; Epp, B.; Frixione, S.; Gadomski, S.; Gavrilenko, I.; Gennai, S.; George, S.; Ghete, V.M.; Guy, L.; Hasegawa, Y.; Iengo, P.; Jacholkowska, A.; Jones, R.; Kharchilava, A.; Kneringer, E.; Koppenburg, P.; Korsmo, H.; Kramer, M.; Labanca, N.; Lehto, M.; Maltoni, F.; Mangano, M.L.; Mele, S.; Nairz, A.M.; Nakada, T.; Nikitin, N.; Nisati, A.; Norrbin, E.; Palla, F.; Rizatdinova, F.; Robins, S.; Rousseau, D.; Sanchis-Lozano, M.A.; Shapiro, M.; Sherwood, P.; Smirnova, L.; Smizanska, M.; Starodumov, A.; Stepanov, N.; Vogt, R.

    2000-03-15

    In the context of the LHC experiments, the physics of bottom flavoured hadrons enters in different contexts. It can be used for QCD tests, it affects the possibilities of B decays studies, and it is an important source of background for several processes of interest. The physics of b production at hadron colliders has a rather long story, dating back to its first observation in the UA1 experiment. Subsequently, b production has been studied at the Tevatron. Besides the transverse momentum spectrum of a single b, it has also become possible, in recent time, to study correlations in the production characteristics of the b and the b. At the LHC new opportunities will be offered by the high statistics and the high energy reach. One expects to be able to study the transverse momentum spectrum at higher transverse momenta, and also to exploit the large statistics to perform more accurate studies of correlations.

  10. $100 billion mistake: is the windfall revenue estimate too high

    SciTech Connect (OSTI)

    Samuelson, R.J.

    1980-04-26

    An economic analysis of the Windfall Profits Tax (as proposed at the time) suggests that the estimate of a $227 billion revenue over the next decade may be as much as $100 billion too high. This judgment is based on provisions in the law allowing states to deduct severance taxes up to 15 percent on oil before federal taxes are paid and offering tax incentives for tertiary projects. The arithmetic, particularly in the case of enhanced oil recovery, illustrates how the incentives could shift more production from a 70% to a 30% tax rate than the Federal government had estimated. (DCK)

  11. DOE/SC-ARM/TR-100 Raman Lidar Profiles Best Estimate Value-Added...

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

    state or reflect those of the U.S. Government or any agency thereof. DOESC-ARMTR-100 Raman Lidar Profiles Best Estimate Value-Added Product Technical Report R Newsom...

  12. Guidelines for Estimating Unmetered Landscapting Water Use

    SciTech Connect (OSTI)

    None

    2010-07-30

    Guidance to help Federal agencies estimate unmetered landscaping water use as required by Executive Order 13514

  13. ARM - Evaluation Product - Areal Average Albedo (AREALAVEALB)

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

    ProductsAreal Average Albedo (AREALAVEALB) ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Areal Average Albedo (AREALAVEALB) [ ARM research - evaluation data product ] The Areal Averaged Albedo VAP yields areal averaged surface spectral albedo estimates from MFRSR measurements collected under fully

  14. Oil Production

    Energy Science and Technology Software Center (OSTI)

    1989-07-01

    A horizontal and slanted well model was developed and incorporated into BOAST, a black oil simulator, to predict the potential production rates for such wells. The HORIZONTAL/SLANTED WELL MODEL can be used to calculate the productivity index, based on the length and location of the wellbore within the block, for each reservoir grid block penetrated by the horizontal/slanted wellbore. The well model can be run under either pressure or rate constraints in which wellbore pressuresmore » can be calculated as an option of infinite-conductivity. The model can simulate the performance of multiple horizontal/slanted wells in any geometric combination within reservoirs.« less

  15. Hydrogen Production

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

    Production Hydrogen is an energy carrier, not an energy source-hydrogen stores and delivers energy in a usable form, but it must be produced from hydrogen- containing compounds. Hydrogen can be produced using diverse, domestic resources including fossil fuels, such as natural gas and coal (preferentially with carbon capture, utilization, and storage); biomass grown from renewable, non-food crops; or using nuclear energy and renewable energy sources, such as wind, solar, geothermal, and

  16. Hydrogen Production

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

    Production - 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 Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear

  17. Estimated Cost Description Determination Date:

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

    Title, Location Estimated Cost Description Determination Date: 2010 LCLS Undulator 2 is envisioned to be a 0.2 - 2keV FEL x-ray source, capable of delivering x-rays to End Station A (ESA), located in the existing Research Yard at SLAC. It will also be configurable as a non- FEL hard x-ray source capable of delivering a chirped x-ray pulse for single-shot broad-spectrum measurements. The project would entail reconstruction of the electron beam transport to End Station A, construction and

  18. Production Planning Model

    Energy Science and Technology Software Center (OSTI)

    1998-04-20

    PRODMOD is an integrated computational tool for performing dynamic simulation and optimization for the entire high level waste complex at the Savannah River Site (SRS) It is being used at SRS for planning purposes so that all waste can be processed efficiently. The computational tool 1) optimizes waste blending sequences, 2) minimizes waste volume production, 3) reduces waste processing time, 4) provides better process control and understanding, and 5) assists strategic planning, scheduling, and costmore » estimation. PRODMOD has been developed using Aspen Technology''s software development package SPEEDUP. PRODMOD models all the key HLW processing operations at SRS: storage and evaporation: saltcake production and dissolution: filtration (dewatering): precipitation: sludge and precipitate washing: glass, grout, and organics production. Innovative approaches have been used in making PRODMOD a very fast computational tool. These innovative approaches are 1) constructing a dynamic problem as a steady state problem 2) mapping between event-space (batch processes) and time-space (dynamic processes) without sacrificing the details in the batch process. The dynamic nature of the problem is constructed in linear form where time dependence is implicit. The linear constructs and mapping algorithms have made it possible to devise a general purpose optimization scheme which couples the optimization driver with the PRODMOD simulator. The optimization scheme is capable of generating single or multiple optimal input conditions for different types of objective functions over single or multiple years of operations depending on the nature of the objective function and operating constraints.« less

  19. Distributed Dynamic State Estimator, Generator Parameter Estimation and Stability Monitoring Demonstration

    SciTech Connect (OSTI)

    Meliopoulos, Sakis; Cokkinides, George; Fardanesh, Bruce; Hedrington, Clinton

    2013-12-31

    This is the final report for this project that was performed in the period: October1, 2009 to June 30, 2013. In this project, a fully distributed high-fidelity dynamic state estimator (DSE) that continuously tracks the real time dynamic model of a wide area system with update rates better than 60 times per second is achieved. The proposed technology is based on GPS-synchronized measurements but also utilizes data from all available Intelligent Electronic Devices in the system (numerical relays, digital fault recorders, digital meters, etc.). The distributed state estimator provides the real time model of the system not only the voltage phasors. The proposed system provides the infrastructure for a variety of applications and two very important applications (a) a high fidelity generating unit parameters estimation and (b) an energy function based transient stability monitoring of a wide area electric power system with predictive capability. Also the dynamic distributed state estimation results are stored (the storage scheme includes data and coincidental model) enabling an automatic reconstruction and “play back” of a system wide disturbance. This approach enables complete play back capability with fidelity equal to that of real time with the advantage of “playing back” at a user selected speed. The proposed technologies were developed and tested in the lab during the first 18 months of the project and then demonstrated on two actual systems, the USVI Water and Power Administration system and the New York Power Authority’s Blenheim-Gilboa pumped hydro plant in the last 18 months of the project. The four main thrusts of this project, mentioned above, are extremely important to the industry. The DSE with the achieved update rates (more than 60 times per second) provides a superior solution to the “grid visibility” question. The generator parameter identification method fills an important and practical need of the industry. The “energy function” based transient stability monitoring opens up new ways to protect the power grid, better manage disturbances, confine their impact and in general improve the reliability and security of the system. Finally, as a by-product of the proposed research project, the developed system is able to “play back” disturbances by a click of a mouse. The importance of this by-product is evident by considering the tremendous effort exerted after the August 2003 blackout to piece together all the disturbance recordings, align them and recreate the sequence of events. This project has moved the state of art from fault recording by individual devices to system wide disturbance recording with “play back” capability.

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

    SciTech Connect (OSTI)

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

    1998-01-01

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

  1. Residential Lighting Usage Estimate Tool, v1.0

    Broader source: Energy.gov [DOE]

    By improving our understanding of residential lighting-energy usage and quantifying it across many different parameters, the new study will be of use to anyone doing energy estimates – such as utilities, market and investment analysts, and government agencies. It will also help manufacturers design products that not only better serve consumers' needs, but that maximize the energy savings that technologies like SSL make possible.

  2. 2014 Domestic Uranium Production Report

    Gasoline and Diesel Fuel Update (EIA)

    5 2014 Domestic Uranium Production Report Release Date: April 30, 2015 Next Release Date: May 2016 Production / Mining Method 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 (estimated contained thousand pounds U 3 O 8 ) W W W W W W W W W W W W (estimated contained thousand pounds U 3 O 8 ) 0 0 0 0 0 0 0 0 0 0 0 0 (thousand pounds U 3 O 8 ) W W 2,681 4,259 W W W W W W W W (thousand pounds U 3 O 8 ) W W W W W W W W W W W W (thousand pounds U 3 O 8 ) E2,200 2,452 3,045 4,692 4,541

  3. ARM - PI Product - ISDAC Microphysics

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

    ProductsISDAC Microphysics ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : ISDAC Microphysics Best estimate of cloud microphysical parameters derived using data collected by the cloud microphysical probes installed on the National Research Council (NRC) of Canada Convair-580 during ISDAC. These files contain phase, liquid and ice crystal size distributions (Nw(D) and Ni(D) respectively), liquid water

  4. 2007 Estimated International Energy Flows

    SciTech Connect (OSTI)

    Smith, C A; Belles, R D; Simon, A J

    2011-03-10

    An energy flow chart or 'atlas' for 136 countries has been constructed from data maintained by the International Energy Agency (IEA) and estimates of energy use patterns for the year 2007. Approximately 490 exajoules (460 quadrillion BTU) of primary energy are used in aggregate by these countries each year. While the basic structure of the energy system is consistent from country to country, patterns of resource use and consumption vary. Energy can be visualized as it flows from resources (i.e. coal, petroleum, natural gas) through transformations such as electricity generation to end uses (i.e. residential, commercial, industrial, transportation). These flow patterns are visualized in this atlas of 136 country-level energy flow charts.

  5. Domestic Uranium Production Report

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

    3. U.S. uranium concentrate production, shipments, and sales, 2003-14 Activity at U.S. mills and In-Situ-Leach plants 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 Estimated contained U3O8 (thousand pounds) Ore from Mines and Stockpiles Fed to Mills1 0 W W W 0 W W W W W W W Other Feed Materials 2 W W W W W W W W W W W W Total Mill Feed W W W W W W W W W W W W Uranium Concentrate Produced at U.S. Mills (thousand pounds U3O8) W W W W W W W W W W W W Uranium Concentrate Produced at

  6. Theoretical Estimate of Maximum Possible Nuclear Explosion

    DOE R&D Accomplishments [OSTI]

    Bethe, H. A.

    1950-01-31

    The maximum nuclear accident which could occur in a Na-cooled, Be moderated, Pu and power producing reactor is estimated theoretically. (T.R.H.) 2O82 Results of nuclear calculations for a variety of compositions of fast, heterogeneous, sodium-cooled, U-235-fueled, plutonium- and power-producing reactors are reported. Core compositions typical of plate-, pin-, or wire-type fuel elements and with uranium as metal, alloy, and oxide were considered. These compositions included atom ratios in the following range: U-23B to U-235 from 2 to 8; sodium to U-235 from 1.5 to 12; iron to U-235 from 5 to 18; and vanadium to U-235 from 11 to 33. Calculations were performed to determine the effect of lead and iron reflectors between the core and blanket. Both natural and depleted uranium were evaluated as the blanket fertile material. Reactors were compared on a basis of conversion ratio, specific power, and the product of both. The calculated results are in general agreement with the experimental results from fast reactor assemblies. An analysis of the effect of new cross-section values as they became available is included. (auth)

  7. Estimating Waste Inventory and Waste Tank Characterization

    Broader source: Energy.gov [DOE]

    Summary Notes from 28 May 2008 Generic Technical Issue Discussion on Estimating Waste Inventory and Waste Tank Characterization

  8. Cost Model and Cost Estimating Software

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-03-28

    This chapter discusses a formalized methodology is basically a cost model, which forms the basis for estimating software.

  9. Surface daytime net radiation estimation using artificial neural networks

    SciTech Connect (OSTI)

    Jiang, Bo; Zhang, Yi; Liang, Shunlin; Zhang, Xiaotong; Xiao, Zhiqiang

    2014-11-11

    Net all-wave surface radiation (Rn) is one of the most important fundamental parameters in various applications. However, conventional Rn measurements are difficult to collect because of the high cost and ongoing maintenance of recording instruments. Therefore, various empirical Rn estimation models have been developed. This study presents the results of two artificial neural network (ANN) models (general regression neural networks (GRNN) and Neuroet) to estimate Rn globally from multi-source data, including remotely sensed products, surface measurements, and meteorological reanalysis products. Rn estimates provided by the two ANNs were tested against in-situ radiation measurements obtained from 251 global sites between 19912010 both in global mode (all data were used to fit the models) and in conditional mode (the data were divided into four subsets and the models were fitted separately). Based on the results obtained from extensive experiments, it has been proved that the two ANNs were superior to linear-based empirical models in both global and conditional modes and that the GRNN performed better and was more stable than Neuroet. The GRNN estimates had a determination coefficient (R2) of 0.92, a root mean square error (RMSE) of 34.27 Wm2 , and a bias of 0.61 Wm2 in global mode based on the validation dataset. In conclusion, ANN methods are a potentially powerful tool for global Rn estimation.

  10. The economics of biomass production in the United States

    SciTech Connect (OSTI)

    Graham, R.L.; Walsh, M.E.; Lichtenberg, E.; Roningen, V.O.; Shapouri, H.

    1995-12-31

    Biomass crops (e.g. poplar, willow, switchgrass) could become important feedstocks for power, liquid fuel, and chemical production. This paper presents estimates of the potential production of biomass in the US under a range of assumptions. Estimates of potential biomass crop yields and production costs from the Department of Energy`s (DOE) Oak Ridge National Laboratories (ORNL) are combined with measures of land rents from USDA`s Conservation Reserve Program (CRP), to estimate a competitive supply of biomass wood and grass crops. Estimates are made for one potential biomass use--electric power production--where future costs of electricity production from competing fossil fuels set the demand price. The paper outlines the methodology used and limitations of the analysis.

  11. Montana Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Montana 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 12 13 7 2010's 13 13 16 19 42 - = 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 Montana Shale Gas Proved Reserves, Reserves Changes, and Production Shale

  12. Ohio Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 0 2010's 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane Estimated Production Ohio Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane Production

  13. Ohio Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Ohio Shale Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 0 0 14 101 441 - = 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 Ohio Shale Gas Proved Reserves, Reserves Changes, and Production Shale Gas

  14. Colorado Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Colorado Shale Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 1 2010's 1 3 9 18 236 - = 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 Colorado Shale Gas Proved Reserves, Reserves Changes, and Production Shale

  15. Florida Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 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 Estimated Production Florida Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane Production

  16. Kansas Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Kansas 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 2010's 1 3 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas Estimated Production Kansas Shale Gas Proved Reserves, Reserves Changes, and Production Shale Gas

  17. Kentucky Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Kentucky 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 2 2 5 2010's 4 4 4 4 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas Estimated Production Kentucky Shale Gas Proved Reserves, Reserves Changes, and Production Shale G

  18. Michigan Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 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 Estimated Production Michigan Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane Production

  19. Virginia Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Virginia 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 2010's 3 3 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas Estimated Production Virginia Shale Gas Proved Reserves, Reserves Changes, and Production Shale Gas

  20. Wyoming Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Wyoming Shale Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 0 0 7 102 29 - = 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 Wyoming Shale Gas Proved Reserves, Reserves Changes, and Production Shale Gas

  1. Robust bearing estimation for 3-component stations

    SciTech Connect (OSTI)

    CLAASSEN,JOHN P.

    2000-02-01

    A robust bearing estimation process for 3-component stations has been developed and explored. The method, called SEEC for Search, Estimate, Evaluate and Correct, intelligently exploits the inherent information in the arrival at every step of the process to achieve near-optimal results. In particular the approach uses a consistent framework to define the optimal time-frequency windows on which to make estimates, to make the bearing estimates themselves, to construct metrics helpful in choosing the better estimates or admitting that the bearing is immeasurable, and finally to apply bias corrections when calibration information is available to yield a single final estimate. The algorithm was applied to a small but challenging set of events in a seismically active region. It demonstrated remarkable utility by providing better estimates and insights than previously available. Various monitoring implications are noted from these findings.

  2. ARM - PI Product - Radiative Flux Analysis

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

    ProductsRadiative Flux Analysis ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Radiative Flux Analysis The Radiative Flux Analysis is a technique for using surface broadband radiation measurements for detecting periods of clear (i.e. cloudless) skies, and using the detected clear-sky data to fit functions which are then used to produce continuous clear-sky estimates. The clear-sky estimates and

  3. Time and Resource Estimation Tool

    Energy Science and Technology Software Center (OSTI)

    2004-06-08

    RESTORE is a computer software tool that allows one to model a complex set of steps required to accomplish a goal (e.g., repair a ruptured natural gas pipeline and restore service to customers). However, the time necessary to complete step may be uncertain and may be affected by conditions, such as the weather, the time of day, the day of the week. Therefore, "nature" can influence which steps are taken and the time needed tomore » complete each step. In addition, the tool allows one to model the costs for each step, which also may be uncertain. RESTORE allows the user to estimate the time and cost, both of which may be uncertain, to achieve an intermediate stage of completion, as well as overall completion. The software also makes it possible to model parallel, competing groups of activities (i.e., parallel paths) so that progreSs at a ‘merge point’ can proceed before other competing activities are completed. For example, RESTORE permits one to model a workaround and a simultaneous complete repair to determine a probability distribution for the earliest time service can be restored to a critical customer. The tool identifies the ‘most active path’ through the network of tasks, which is extremely important information for assessing the most effective way to speed-up or slow-down progress. Unlike other project planning and risk analysis tools, RESTORE provides an intuitive, graphical, and object-oriented environment for structuring a model and setting its parameters.« less

  4. Reliability Estimates for Power Supplies

    SciTech Connect (OSTI)

    Lee C. Cadwallader; Peter I. Petersen

    2005-09-01

    Failure rates for large power supplies at a fusion facility are critical knowledge needed to estimate availability of the facility or to set priorties for repairs and spare components. A study of the "failure to operate on demand" and "failure to continue to operate" failure rates has been performed for the large power supplies at DIII-D, which provide power to the magnet coils, the neutral beam injectors, the electron cyclotron heating systems, and the fast wave systems. When one of the power supplies fails to operate, the research program has to be either temporarily changed or halted. If one of the power supplies for the toroidal or ohmic heating coils fails, the operations have to be suspended or the research is continued at de-rated parameters until a repair is completed. If one of the power supplies used in the auxiliary plasma heating systems fails the research is often temporarily changed until a repair is completed. The power supplies are operated remotely and repairs are only performed when the power supplies are off line, so that failure of a power supply does not cause any risk to personnel. The DIII-D Trouble Report database was used to determine the number of power supply faults (over 1,700 reports), and tokamak annual operations data supplied the number of shots, operating times, and power supply usage for the DIII-D operating campaigns between mid-1987 and 2004. Where possible, these power supply failure rates from DIII-D will be compared to similar work that has been performed for the Joint European Torus equipment. These independent data sets support validation of the fusion-specific failure rate values.

  5. Economical Production of Pu-238

    SciTech Connect (OSTI)

    Steven D. Howe; Douglas Crawford; Jorge Navarro; Terry Ring

    2013-02-01

    All space exploration missions traveling beyond Jupiter must use radioisotopic power sources for electrical power. The best isotope to power these sources is plutonium-238. The US supply of Pu-238 is almost exhausted and will be gone within the next decade. The Department of Energy has initiated a production program with a $10M allocation from NASA but the cost is estimated at over $100 M to get to production levels. The Center for Space Nuclear Research has conceived of a potentially better process to produce Pu-238 earlier and for significantly less cost. The new process will also produce dramatically less waste. Potentially, the front end costs could be provided by private industry such that the government only had to pay for the product produced. Under a NASA Phase I NIAC grant, the CSNR has evaluated the feasibility of using a low power, commercially available nuclear reactor to produce at least 1.5 kg of Pu-238 per year. The impact on the neutronics of the reactor have been assessed, the amount of Neptunium target material estimated, and the production rates calculated. In addition, the size of the post-irradiation processing facility has been established. In addition, a new method for fabricating the Pu-238 product into the form used for power sources has been identified to reduce the cost of the final product. In short, the concept appears to be viable, can produce the amount of Pu-238 needed to support the NASA missions, can be available within a few years, and will cost significantly less than the current DOE program.

  6. Monthly Biodiesel Production Report

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

    U.S. Biodiesel production capacity and production million gallons Period Annual Production ... B100 is the industry designation for pure biodiesel; a biodiesel blend contains both pure ...

  7. Monthly Biodiesel Production Report

    Reports and Publications (EIA)

    2016-01-01

    Presents monthly data on inventory held by biodiesel producers, production capacity, production, and sales quantities. Production capacity is reported at the national and state levels.

  8. Production of Advanced Biofuels via Liquefaction - Hydrothermal

    Office of Scientific and Technical Information (OSTI)

    Liquefaction Reactor Design: April 5, 2013 (Technical Report) | SciTech Connect Production of Advanced Biofuels via Liquefaction - Hydrothermal Liquefaction Reactor Design: April 5, 2013 Citation Details In-Document Search Title: Production of Advanced Biofuels via Liquefaction - Hydrothermal Liquefaction Reactor Design: April 5, 2013 This report provides detailed reactor designs and capital costs, and operating cost estimates for the hydrothermal liquefaction reactor system, used for

  9. ARM KAZR-ARSCL Value Added Product

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

    Jensen, Michael

    The Ka-band ARM Zenith Radars (KAZRs) have replaced the long-serving Millimeter Cloud Radars, or MMCRs. Accordingly, the primary MMCR Value Added Product (VAP), the Active Remote Sensing of CLouds (ARSCL) product, is being replaced by a KAZR-based version, the KAZR-ARSCL VAP. KAZR-ARSCL provides cloud boundaries and best-estimate time-height fields of radar moments.

  10. EIA-914 Monthly Gas Production Report Methodology

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

    914 Monthly Gas Production Report Methodology Current as of April 2010 1 Much of the methodology described below was implemented in April 2010, and it was applied historically to all of 2009 as well as to the current months. Fundamentally, there are two parts to the process: the sampling and the estimation. Both represent changes to previous methodologies, and each is described separately below. Sampling Methodology The EIA-914 survey collects natural gas production volume information on a

  11. ARM KAZR-ARSCL Value Added Product

    SciTech Connect (OSTI)

    Jensen, Michael

    2012-09-28

    The Ka-band ARM Zenith Radars (KAZRs) have replaced the long-serving Millimeter Cloud Radars, or MMCRs. Accordingly, the primary MMCR Value Added Product (VAP), the Active Remote Sensing of CLouds (ARSCL) product, is being replaced by a KAZR-based version, the KAZR-ARSCL VAP. KAZR-ARSCL provides cloud boundaries and best-estimate time-height fields of radar moments.

  12. Characterization and estimation of permeability correlation structure from performance data

    SciTech Connect (OSTI)

    Ershaghi, I.; Al-Qahtani, M.

    1997-08-01

    In this study, the influence of permeability structure and correlation length on the system effective permeability and recovery factors of 2-D cross-sectional reservoir models, under waterflood, is investigated. Reservoirs with identical statistical representation of permeability attributes are shown to exhibit different system effective permeability and production characteristics which can be expressed by a mean and variance. The mean and variance are shown to be significantly influenced by the correlation length. Detailed quantification of the influence of horizontal and vertical correlation lengths for different permeability distributions is presented. The effect of capillary pressure, P{sub c1} on the production characteristics and saturation profiles at different correlation lengths is also investigated. It is observed that neglecting P{sub c} causes considerable error at large horizontal and short vertical correlation lengths. The effect of using constant as opposed to variable relative permeability attributes is also investigated at different correlation lengths. Next we studied the influence of correlation anisotropy in 2-D reservoir models. For a reservoir under five-spot waterflood pattern, it is shown that the ratios of breakthrough times and recovery factors of the wells in each direction of correlation are greatly influenced by the degree of anisotropy. In fully developed fields, performance data can aid in the recognition of reservoir anisotropy. Finally, a procedure for estimating the spatial correlation length from performance data is presented. Both the production performance data and the system`s effective permeability are required in estimating the correlation length.

  13. Early Internal and External Dose Magnitude Estimation

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

    Internal and External Dose Estimation (initial version: 08/2008, current version: 10/2015) Early Internal and External Dose Magnitude Estimation The Radiation Emergency Assistance Center/Training Site REAC/TS PO Box 117, MS-39 Oak Ridge, TN 37831 (865)576-3131 http://orise.orau.gov/reacts prepared by: Stephen L. (Steve) Sugarman, MS, CHP, CHCM Health Physics Project Manager Cytogenetic Biodosimetry Laboratory Coordinator Early Internal and External Dose Estimation (initial version: 08/2008,

  14. State energy data report 1994: Consumption estimates

    SciTech Connect (OSTI)

    1996-10-01

    This document provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), operated by EIA. SEDS provides State energy consumption estimates to members of Congress, Federal and State agencies, and the general public, and provides the historical series needed for EIA`s energy models. Division is made for each energy type and end use sector. Nuclear electric power is included.

  15. Annual Coded Wire Tag Program; Oregon Missing Production Groups, 1993 Annual Report.

    SciTech Connect (OSTI)

    Garrison, Robert L.; Lewis, Mark A.; Murray, William M.

    1994-04-01

    The goal of this project is to develop the ability to estimate hatchery production survival values and evaluate effectiveness of Oregon hatcheries.

  16. Annual Coded Wire Program: Oregon Missing Production Groups: 1992 Annual Report.

    SciTech Connect (OSTI)

    Garrison, Robert L.; Isaac, Dennis L.; Lewis, Mark A.; Murry, William M.

    1992-12-01

    The goal of this project is to develop the ability to estimate hatchery production survival values and evaluate effectiveness of Oregon hatcheries.

  17. An Estimator of Propagation of Cascading Failure

    SciTech Connect (OSTI)

    Dobson, Ian; Wierzbicki, Kevin; Carreras, Benjamin A; Lynch, Vickie E; Newman, David E

    2006-01-01

    The authors suggest a statistical estimator to measure the extent to which failures propagate in cascading failures such as large blackouts.

  18. Interruption Cost Estimate Calculator | Open Energy Information

    Open Energy Info (EERE)

    Cost Estimate (ICE) Calculator This calculator is a tool designed for electric reliability planners at utilities, government organizations or other entities that are...

  19. ORISE: Radiation Dose Estimates and Other Compendia

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

    Nuclear Medicine" (M. Stabin, in Pediatric Nuclear Medicine, S. Treves, ed., Springer-Verlag, 1995). The compendium of dose estimates for pregnant women was published...

  20. Guidelines for Estimating Unmetered Industrial Water Use

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

    Guidelines for Estimating Unmetered Industrial Water Use Prepared for U.S. Department of ... PNNL would like to thank the Federal Water Working Group of the Interagency Energy ...

  1. Summary of Electrolytic Hydrogen Production: Milestone Completion Report |

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

    Department of Energy Electrolytic Hydrogen Production: Milestone Completion Report Summary of Electrolytic Hydrogen Production: Milestone Completion Report This report provides an overview of the current state of electrolytic hydrogen production techonologies and an economic analysis of the processes and systems available as of December 2003. PDF icon 36734.pdf More Documents & Publications Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis

  2. Energy and Cost Savings Calculators for Energy-Efficient Products |

    Office of Environmental Management (EM)

    Department of Energy Efficient Products » Energy and Cost Savings Calculators for Energy-Efficient Products Energy and Cost Savings Calculators for Energy-Efficient Products Estimate energy and cost savings for energy- and water-efficient product categories using these interactive calculators provided by the Federal Energy Management Program or ENERGY STAR. Commercial Heating and Cooling Air-Cooled Chillers Boilers Commercial Heat Pumps Commercial Rooftop Air Conditioners Residential

  3. Cost Estimating Handbook for Environmental Restoration

    SciTech Connect (OSTI)

    1990-09-01

    Environmental restoration (ER) projects have presented the DOE and cost estimators with a number of properties that are not comparable to the normal estimating climate within DOE. These properties include: An entirely new set of specialized expressions and terminology. A higher than normal exposure to cost and schedule risk, as compared to most other DOE projects, due to changing regulations, public involvement, resource shortages, and scope of work. A higher than normal percentage of indirect costs to the total estimated cost due primarily to record keeping, special training, liability, and indemnification. More than one estimate for a project, particularly in the assessment phase, in order to provide input into the evaluation of alternatives for the cleanup action. While some aspects of existing guidance for cost estimators will be applicable to environmental restoration projects, some components of the present guidelines will have to be modified to reflect the unique elements of these projects. The purpose of this Handbook is to assist cost estimators in the preparation of environmental restoration estimates for Environmental Restoration and Waste Management (EM) projects undertaken by DOE. The DOE has, in recent years, seen a significant increase in the number, size, and frequency of environmental restoration projects that must be costed by the various DOE offices. The coming years will show the EM program to be the largest non-weapons program undertaken by DOE. These projects create new and unique estimating requirements since historical cost and estimating precedents are meager at best. It is anticipated that this Handbook will enhance the quality of cost data within DOE in several ways by providing: The basis for accurate, consistent, and traceable baselines. Sound methodologies, guidelines, and estimating formats. Sources of cost data/databases and estimating tools and techniques available at DOE cost professionals.

  4. Estimating Price Elasticity using Market-Level Appliance Data

    SciTech Connect (OSTI)

    Fujita, K. Sydny

    2015-08-04

    This report provides and update to and expansion upon our 2008 LBNL report “An Analysis of the Price Elasticity of Demand for Appliances,” in which we estimated an average relative price elasticity of -0.34 for major household appliances (Dale and Fujita 2008). Consumer responsiveness to price change is a key component of energy efficiency policy analysis; these policies influence consumer purchases through price both explicitly and implicitly. However, few studies address appliance demand elasticity in the U.S. market and public data sources are generally insufficient for rigorous estimation. Therefore, analysts have relied on a small set of outdated papers focused on limited appliance types, assuming long-term elasticities estimated for other durables (e.g., vehicles) decades ago are applicable to current and future appliance purchasing behavior. We aim to partially rectify this problem in the context of appliance efficiency standards by revisiting our previous analysis, utilizing data released over the last ten years and identifying additional estimates of durable goods price elasticities in the literature. Reviewing the literature, we find the following ranges of market-level price elasticities: -0.14 to -0.42 for appliances; -0.30 to -1.28 for automobiles; -0.47 to -2.55 for other durable goods. Brand price elasticities are substantially higher for these product groups, with most estimates -2.0 or more elastic. Using market-level shipments, sales value, and efficiency level data for 1989-2009, we run various iterations of a log-log regression model, arriving at a recommended range of short run appliance price elasticity between -0.4 and -0.5, with a default value of -0.45.

  5. Evaluation Helps Pesticide Program Finish Project Four Years Sooner Than Estimated

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

    Case Study Series-Demonstrating Value of Program Evaluation 
 Office of Pesticide Programs U.S. Environmental Protection Agency 
 Evaluation Helps Pesticide Program Finish Project Four Years Sooner Than Estimated A jump in efficiency will likely result in the U.S. Environmental Protection Agency (EPA) completing its pesticide product re-registration process in 2014, four years sooner than previously estimated. This was due in part to the Office of Pesticide Programs' (OPP) implementation of

  6. Power, Optimization, Waste Estimating, Resourcing Tool

    Energy Science and Technology Software Center (OSTI)

    2009-08-13

    Planning, Optimization, Waste Estimating, Resourcing tool (POWERtool) is a comprehensive relational database software tool that can be used to develop and organize a detailed project scope, plan work tasks, develop bottoms-up field cost and waste estimates for facility Deactivation and Decommissioning (D&D), equipment, and environmental restoration (ER) projects and produces resource-loaded schedules.

  7. Systematic Approach for Decommissioning Planning and Estimating

    SciTech Connect (OSTI)

    Dam, A. S.

    2002-02-26

    Nuclear facility decommissioning, satisfactorily completed at the lowest cost, relies on a systematic approach to the planning, estimating, and documenting the work. High quality information is needed to properly perform the planning and estimating. A systematic approach to collecting and maintaining the needed information is recommended using a knowledgebase system for information management. A systematic approach is also recommended to develop the decommissioning plan, cost estimate and schedule. A probabilistic project cost and schedule risk analysis is included as part of the planning process. The entire effort is performed by a experienced team of decommissioning planners, cost estimators, schedulers, and facility knowledgeable owner representatives. The plant data, work plans, cost and schedule are entered into a knowledgebase. This systematic approach has been used successfully for decommissioning planning and cost estimating for a commercial nuclear power plant. Elements of this approach have been used for numerous cost estimates and estimate reviews. The plan and estimate in the knowledgebase should be a living document, updated periodically, to support decommissioning fund provisioning, with the plan ready for use when the need arises.

  8. Property:Estimated End Date | Open Energy Information

    Open Energy Info (EERE)

    Estimated End Date Jump to: navigation, search Property Name Estimated End Date Property Type String Pages using the property "Estimated End Date" Showing 4 pages using this...

  9. Guidance on Utility Rate Estimations and Weather Normalization...

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

    Utility Rate Estimations and Weather Normalization in an ESPC Guidance on Utility Rate Estimations and Weather Normalization in an ESPC Document explains how to use estimated...

  10. 2014 Domestic Uranium Production Report

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

    3. U.S. uranium concentrate production, shipments, and sales, 2003-14" "Activity at U.S. Mills and In-Situ-Leach Plants",2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014 "Estimated contained U3O8 (thousand pounds)" "Ore from Underground Mines and Stockpiles Fed to Mills 1",0,"W","W","W",0,"W","W","W","W","W","W","W" "Other Feed Materials

  11. Montana Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Montana Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 12 12 13 14 12 2010's 10 6 3 1 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane Estimated Production Montana Coalbed Methane Proved Reserves, Reserves Changes, and

  12. New Mexico Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Shale Production (Billion Cubic Feet) New Mexico 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 2 0 2 2010's 6 9 13 16 28 - = 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 New Mexico Shale Gas Proved Reserves, Reserves Changes, and

  13. 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,

  14. Oklahoma Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Oklahoma Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 58 68 82 69 55 2010's 45 39 68 65 61 - = 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 Estimated Production Oklahoma Coalbed Methane Proved Reserves, Reserves

  15. Pennsylvania Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Pennsylvania Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 3 5 5 11 16 2010's 3 4 15 13 11 - = 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 Estimated Production Pennsylvania Coalbed Methane Proved Reserves, Reserves

  16. Pennsylvania Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Shale Production (Billion Cubic Feet) Pennsylvania 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 1 1 65 2010's 396 1,068 2,036 3,076 4,009 - = 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 Pennsylvania Shale Gas Proved Reserves, Reserves

  17. Kansas Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Kansas Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 17 25 38 47 43 2010's 41 37 34 30 27 - = 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 Estimated Production Kansas Coalbed Methane Proved Reserves, Reserves Changes,

  18. Kentucky Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 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 Estimated Production Kentucky Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane

  19. Michigan Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Michigan 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 148 122 132 2010's 120 106 108 101 96 - = 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 Michigan Shale Gas Proved Reserves, Reserves Changes, and

  20. Arkansas Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Arkansas Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 2 3 3 3 3 2010's 3 4 2 2 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane Estimated Production Arkansas Coalbed Methane Proved Reserves, Reserves Changes, and

  1. Arkansas Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Arkansas 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 94 279 527 2010's 794 940 1,027 1,026 1,038 - = 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 Arkansas Shale Gas Proved Reserves, Reserves Changes, and

  2. Utah Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Utah Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 74 83 103 97 82 75 66 73 71 71 2010's 66 60 55 50 47 - = 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 Estimated Production Utah Coalbed Methane Proved Reserves,

  3. Virginia Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Virginia Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 56 81 85 101 111 2010's 97 100 99 93 108 - = 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 Estimated Production Virginia Coalbed Methane Proved Reserves, Reserves

  4. Wyoming Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Wyoming Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 133 278 302 344 320 336 378 401 573 535 2010's 566 506 426 331 264 - = 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 Estimated Production Wyoming Coalbed Methane

  5. ARM - Evaluation Product - Micro-ARSCL

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

    ProductsMicro-ARSCL Citation DOI: 10.5439/1225811 [ What is this? ] ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Micro-ARSCL Microscale data product based on the increased temporal resolution of the MMCRs which includes information about the local maxima in each Doppler spectrum, uncertainty estimates

  6. Enhancing e-waste estimates: Improving data quality by multivariate Input–Output Analysis

    SciTech Connect (OSTI)

    Wang, Feng; Huisman, Jaco; Stevels, Ab; Baldé, Cornelis Peter

    2013-11-15

    Highlights: • A multivariate Input–Output Analysis method for e-waste estimates is proposed. • Applying multivariate analysis to consolidate data can enhance e-waste estimates. • We examine the influence of model selection and data quality on e-waste estimates. • Datasets of all e-waste related variables in a Dutch case study have been provided. • Accurate modeling of time-variant lifespan distributions is critical for estimate. - Abstract: Waste electrical and electronic equipment (or e-waste) is one of the fastest growing waste streams, which encompasses a wide and increasing spectrum of products. Accurate estimation of e-waste generation is difficult, mainly due to lack of high quality data referred to market and socio-economic dynamics. This paper addresses how to enhance e-waste estimates by providing techniques to increase data quality. An advanced, flexible and multivariate Input–Output Analysis (IOA) method is proposed. It links all three pillars in IOA (product sales, stock and lifespan profiles) to construct mathematical relationships between various data points. By applying this method, the data consolidation steps can generate more accurate time-series datasets from available data pool. This can consequently increase the reliability of e-waste estimates compared to the approach without data processing. A case study in the Netherlands is used to apply the advanced IOA model. As a result, for the first time ever, complete datasets of all three variables for estimating all types of e-waste have been obtained. The result of this study also demonstrates significant disparity between various estimation models, arising from the use of data under different conditions. It shows the importance of applying multivariate approach and multiple sources to improve data quality for modelling, specifically using appropriate time-varying lifespan parameters. Following the case study, a roadmap with a procedural guideline is provided to enhance e-waste estimation studies.

  7. Biological production of products from waste gases

    DOE Patents [OSTI]

    Gaddy, James L. (Fayetteville, AR)

    2002-01-22

    A method and apparatus are designed for converting waste gases from industrial processes such as oil refining, and carbon black, coke, ammonia, and methanol production, into useful products. The method includes introducing the waste gases into a bioreactor where they are fermented to various products, such as organic acids, alcohols, hydrogen, single cell protein, and salts of organic acids by anaerobic bacteria within the bioreactor. These valuable end products are then recovered, separated and purified.

  8. Covered Product Category: Cool Roof Products

    Broader source: Energy.gov [DOE]

    FEMP provides acquisition guidance across a variety of product categories, including cool roof products, which are an ENERGY STAR®-qualified product category. Federal laws and requirements mandate that agencies meet these efficiency requirements in all procurement and acquisition actions that are not specifically exempted by law.

  9. State Energy Data Report, 1991: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1993-05-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to the Government, policy makers, and the public; and (2) to provide the historical series necessary for EIA`s energy models.

  10. Parallel State Estimation Assessment with Practical Data

    SciTech Connect (OSTI)

    Chen, Yousu; Jin, Shuangshuang; Rice, Mark J.; Huang, Zhenyu

    2014-10-31

    This paper presents a full-cycle parallel state estimation (PSE) implementation using a preconditioned conjugate gradient algorithm. The developed code is able to solve large-size power system state estimation within 5 seconds using real-world data, comparable to the Supervisory Control And Data Acquisition (SCADA) rate. This achievement allows the operators to know the system status much faster to help improve grid reliability. Case study results of the Bonneville Power Administration (BPA) system with real measurements are presented. The benefits of fast state estimation are also discussed.

  11. State energy data report 1995 - consumption estimates

    SciTech Connect (OSTI)

    1997-12-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public, and (2) to provide the historical series necessary for EIA`s energy models.

  12. State energy data report 1993: Consumption estimates

    SciTech Connect (OSTI)

    1995-07-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sector. The estimates are developed in the State Energy Data System (SEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining SEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. SEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public; and (2) to provide the historical series necessary for EIA`s energy models.

  13. Fuel Cycle Services Needs Estimator v.2.0

    Energy Science and Technology Software Center (OSTI)

    2008-03-18

    The "Fuel Cycle Services Needs Estimator", Version 2.0 allows users to estimate the amount of uranium enrichment services needed and amount of spent nuclear fuel produced by a given fleet of nuclear power reactors through 2050 based on user-determined information about the size of a reactor fleet and average characteristics of reactors in that fleet. The program helps users evaluate the current and future supply of nuclear fuel cycle services. The program also allows usersmore » to compare the enrichment needs and spent fuel production of more up to seven defined nuclear power reactor fleets and to aggregate estimated needs. Version 2.0 of the program has an additions of new graphs to show results of calculations (calculation capabilities and other graphing tools included in version 1.o), maps showing flows of material based on calculation results, and additional calculation capabilities that allow the user to compare supply to demand (demand calculations included in version 1.0). Default values for seven selected nuclear energy programs in East Asia are included for reference and comparison. The program was designed using the dynamic simulation software, Powersim.« less

  14. A simple method to estimate interwell autocorrelation

    SciTech Connect (OSTI)

    Pizarro, J.O.S.; Lake, L.W.

    1997-08-01

    The estimation of autocorrelation in the lateral or interwell direction is important when performing reservoir characterization studies using stochastic modeling. This paper presents a new method to estimate the interwell autocorrelation based on parameters, such as the vertical range and the variance, that can be estimated with commonly available data. We used synthetic fields that were generated from stochastic simulations to provide data to construct the estimation charts. These charts relate the ratio of areal to vertical variance and the autocorrelation range (expressed variously) in two directions. Three different semivariogram models were considered: spherical, exponential and truncated fractal. The overall procedure is demonstrated using field data. We find that the approach gives the most self-consistent results when it is applied to previously identified facies. Moreover, the autocorrelation trends follow the depositional pattern of the reservoir, which gives confidence in the validity of the approach.

  15. Preliminary CBECS End-Use Estimates

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

    For the past three CBECS (1989, 1992, and 1995), we used a statistically-adjusted engineering (SAE) methodology to estimate end-use consumption. The core of the SAE methodology...

  16. Estimating Temperature Distributions In Geothermal Areas Using...

    Open Energy Info (EERE)

    "education level" (which depends on the amount and structure of information used for teaching) and (b) the distance of the point at which the estimate is made from the area for...

  17. gtp_flow_power_estimator.xlsx

    Broader source: Energy.gov [DOE]

    This simple spreadsheet model estimates either the flow rate required to produce a specified level of power output, or the power output that can be produced from a specified flow rate.

  18. U.S. Uranium Reserves Estimates

    Gasoline and Diesel Fuel Update (EIA)

    Methodology The U.S. uranium ore reserves reported by EIA for specific MFC categories represent the sums of quantities estimated to occur in known deposits on properties where data...

  19. Buildings GHG Mitigation Estimator Worksheet, Version 1

    Broader source: Energy.gov [DOE]

    Xcel document describes Version 1 of the the Buildings GHG Mitigation Estimator tool. This tool assists federal agencies in estimating the greenhouse gas mitigation reduction from implementing energy efficiency measures across a portfolio of buildings. It is designed to be applied to groups of office buildings, for example, at a program level (regional or site) that can be summarized at the agency level. While the default savings and cost estimates apply to office buildings, users can define their own efficiency measures, costs, and savings estimates for inclusion in the portfolio assessment. More information on user-defined measures can be found in Step 2 of the buildings emission reduction guidance. The output of this tool is a prioritized set of activities that can help the agency to achieve its greenhouse gas reduction targets most cost-effectively.

  20. Sub-Second Parallel State Estimation

    SciTech Connect (OSTI)

    Chen, Yousu; Rice, Mark J.; Glaesemann, Kurt R.; Wang, Shaobu; Huang, Zhenyu

    2014-10-31

    This report describes the performance of Pacific Northwest National Laboratory (PNNL) sub-second parallel state estimation (PSE) tool using the utility data from the Bonneville Power Administrative (BPA) and discusses the benefits of the fast computational speed for power system applications. The test data were provided by BPA. They are two-days worth of hourly snapshots that include power system data and measurement sets in a commercial tool format. These data are extracted out from the commercial tool box and fed into the PSE tool. With the help of advanced solvers, the PSE tool is able to solve each BPA hourly state estimation problem within one second, which is more than 10 times faster than todays commercial tool. This improved computational performance can help increase the reliability value of state estimation in many aspects: (1) the shorter the time required for execution of state estimation, the more time remains for operators to take appropriate actions, and/or to apply automatic or manual corrective control actions. This increases the chances of arresting or mitigating the impact of cascading failures; (2) the SE can be executed multiple times within time allowance. Therefore, the robustness of SE can be enhanced by repeating the execution of the SE with adaptive adjustments, including removing bad data and/or adjusting different initial conditions to compute a better estimate within the same time as a traditional state estimators single estimate. There are other benefits with the sub-second SE, such as that the PSE results can potentially be used in local and/or wide-area automatic corrective control actions that are currently dependent on raw measurements to minimize the impact of bad measurements, and provides opportunities to enhance the power grid reliability and efficiency. PSE also can enable other advanced tools that rely on SE outputs and could be used to further improve operators actions and automated controls to mitigate effects of severe events on the grid. The power grid continues to grow and the number of measurements is increasing at an accelerated rate due to the variety of smart grid devices being introduced. A parallel state estimation implementation will have better performance than traditional, sequential state estimation by utilizing the power of high performance computing (HPC). This increased performance positions parallel state estimators as valuable tools for operating the increasingly more complex power grid.

  1. DOE/SC-ARM/TR-097 Radiatively Important Parameters Best Estimate

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

    7 Radiatively Important Parameters Best Estimate (RIPBE): An ARM Value-Added Product S McFarlane T Shippert J Mather June 2011 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or

  2. Chapter 3: FY 2006 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    The Office of Energy Efficiency and Renewable Energy (EERE) estimates expected benefits for its overall portfolio and for each of its 11 programs. Benefits for the FY 2006 budget request are estimated for the midterm (2010-2025) and long term (2030-2050). Two separate models suited to these periods are employedNEMS-GPRA06 for the midterm and MARKAL-GPRA06 for the long term.

  3. Chapter 3: FY 2005 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    The Office of Energy Efficiency and Renewable Energy (EERE) estimates expected benefits for its overall portfolio and for each of its 11 programs. Benefits for the FY 2005 budget request are estimated for the midterm (2010-2025) and long term (2030-2050). Two separate models suited to these periods are employedNEMS-GPRA05 for the midterm and MARKAL-GPRA05 for the long term.

  4. ARM - Lesson Plans: Estimating Local Sea Level

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

    Estimating Local Sea Level Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Lesson Plans: Estimating Local Sea Level Objective The objective is to train students' skills in observing the local environment based upon the sea level variations. Materials Each student or group of students will

  5. Estimates of US biomass energy consumption 1992

    SciTech Connect (OSTI)

    Not Available

    1994-05-06

    This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass-derived primary energy used by the US economy. It presents estimates of 1991 and 1992 consumption. The objective of this report is to provide updated estimates of biomass energy consumption for use by Congress, Federal and State agencies, biomass producers and end-use sectors, and the public at large.

  6. Communications Product Governance Team

    Broader source: Energy.gov [DOE]

    The Office of Energy Efficiency and Renewable Energy (EERE) Product Governance Team (PGT) reviews and approves the publications, exhibits, logos, and templates for all EERE communications products. The PGT manages the product review process.

  7. Grid-based Production

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

    Grid-based Production Grid-based Production PDSF is a Tier 2 site for ALICE and as such has the infrastructure in place to run automated grid-based ALICE production jobs. The main...

  8. Monthly Biodiesel Production Report

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

    Biodiesel (B100) production by Petroleum Administration for Defense District (PADD) ... Source: U.S. Energy Information Administration, Form EIA-22M "Monthly Biodiesel Production ...

  9. Monthly Biodiesel Production Report

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

    Biodiesel producers and production capacity by state, December 2015 State Number of ... Source: U.S. Energy Information Administration, Form EIA-22M "Monthly Biodiesel Production ...

  10. Estimated recharge rates at the Hanford Site

    SciTech Connect (OSTI)

    Fayer, M.J.; Walters, T.B.

    1995-02-01

    The Ground-Water Surveillance Project monitors the distribution of contaminants in ground water at the Hanford Site for the U.S. Department of Energy. A subtask called {open_quotes}Water Budget at Hanford{close_quotes} was initiated in FY 1994. The objective of this subtask was to produce a defensible map of estimated recharge rates across the Hanford Site. Methods that have been used to estimate recharge rates at the Hanford Site include measurements (of drainage, water contents, and tracers) and computer modeling. For the simulations of 12 soil-vegetation combinations, the annual rates varied from 0.05 mm/yr for the Ephrata sandy loam with bunchgrass to 85.2 mm/yr for the same soil without vegetation. Water content data from the Grass Site in the 300 Area indicated that annual rates varied from 3.0 to 143.5 mm/yr during an 8-year period. The annual volume of estimated recharge was calculated to be 8.47 {times} 10{sup 9} L for the potential future Hanford Site (i.e., the portion of the current Site bounded by Highway 240 and the Columbia River). This total volume is similar to earlier estimates of natural recharge and is 2 to 10x higher than estimates of runoff and ground-water flow from higher elevations. Not only is the volume of natural recharge significant in comparison to other ground-water inputs, the distribution of estimated recharge is highly skewed to the disturbed sandy soils (i.e., the 200 Areas, where most contaminants originate). The lack of good estimates of the means and variances of the supporting data (i.e., the soil map, the vegetation/land use map, the model parameters) translates into large uncertainties in the recharge estimates. When combined, the significant quantity of estimated recharge, its high sensitivity to disturbance, and the unquantified uncertainty of the data and model parameters suggest that the defensibility of the recharge estimates should be improved.

  11. ARM Climate Research Facility Spectral Surface Albedo Value-Added Product (VAP) Report

    SciTech Connect (OSTI)

    McFarlane, S; Gaustad, K; Long, C; Mlawer, E

    2011-07-15

    This document describes the input requirements, output data products, and methodology for the Spectral Surface Albedo (SURFSPECALB) value-added product (VAP). The SURFSPECALB VAP produces a best-estimate near-continuous high spectral resolution albedo data product using measurements from multifilter radiometers (MFRs). The VAP first identifies best estimates for the MFR downwelling and upwelling shortwave irradiance values, and then calculates narrowband spectral albedo from these best-estimate irradiance values. The methodology for finding the best-estimate values is based on a simple process of screening suspect data and backfilling screened and missing data with estimated values when possible. The resulting best-estimate MFR narrowband spectral albedos are used to determine a daily surface type (snow, 100% vegetation, partial vegetation, or 0% vegetation). For non-snow surfaces, a piecewise continuous function is used to estimate a high spectral resolution albedo at 1 min temporal and 10 cm-1 spectral resolution.

  12. Transmission Losses Product (pbl/products)

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

    Wind Smoothing and Intertie Service (Pilot) Firstgov Pricing for Transmission Losses Product Bonneville Power Administration (BPA) Power Services offers to sell transmission...

  13. A comparison of spatial averaging and Cadzow's method for array wavenumber estimation

    SciTech Connect (OSTI)

    Harris, D.B.; Clark, G.A.

    1989-10-31

    We are concerned with resolving superimposed, correlated seismic waves with small-aperture arrays. The limited time-bandwidth product of transient seismic signals complicates the task. We examine the use of MUSIC and Cadzow's ML estimator with and without subarray averaging for resolution potential. A case study with real data favors the MUSIC algorithm and a multiple event covariance averaging scheme.

  14. ,"U.S. Weekly Supply Estimates"

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

    ...182016","8201982" ,"Data 3","Refiner and Blender Net Inputs",6,"Weekly","3182016","492004" ,"Data 4","Refiner and Blender Net Production",20,"Weekly","3182016","820...

  15. Methanol production from Eucalyptus wood chips. Final report

    SciTech Connect (OSTI)

    Fishkind, H.H.

    1982-06-01

    This feasibility study includes all phases of methanol production from seedling to delivery of finished methanol. The study examines: production of 55 million, high quality, Eucalyptus seedlings through tissue culture; establishment of a Eucalyptus energy plantation on approximately 70,000 acres; engineering for a 100 million gallon-per-day methanol production facility; potential environmental impacts of the whole project; safety and health aspects of producing and using methanol; and development of site specific cost estimates.

  16. Building unbiased estimators from non-Gaussian likelihoods with application to shear estimation

    SciTech Connect (OSTI)

    Madhavacheril, Mathew S.; Sehgal, Neelima; McDonald, Patrick; Slosar, Ane E-mail: pvmcdonald@lbl.gov E-mail: anze@bnl.gov

    2015-01-01

    We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the work of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong's estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g|=0.2.

  17. Building unbiased estimators from non-gaussian likelihoods with application to shear estimation

    SciTech Connect (OSTI)

    Madhavacheril, Mathew S.; Slosar, Anze; McDonald, Patrick; Sehgal, Neelima

    2015-01-01

    We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the work of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrongs estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.

  18. Building unbiased estimators from non-gaussian likelihoods with application to shear estimation

    SciTech Connect (OSTI)

    Madhavacheril, Mathew S.; McDonald, Patrick; Sehgal, Neelima; Slosar, Anze

    2015-01-15

    We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the work of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrongs estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors ?g/g for shears up to |g| = 0.2.

  19. Building unbiased estimators from non-gaussian likelihoods with application to shear estimation

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

    Madhavacheril, Mathew S.; McDonald, Patrick; Sehgal, Neelima; Slosar, Anze

    2015-01-15

    We develop a general framework for generating estimators of a given quantity which are unbiased to a given order in the difference between the true value of the underlying quantity and the fiducial position in theory space around which we expand the likelihood. We apply this formalism to rederive the optimal quadratic estimator and show how the replacement of the second derivative matrix with the Fisher matrix is a generic way of creating an unbiased estimator (assuming choice of the fiducial model is independent of data). Next we apply the approach to estimation of shear lensing, closely following the workmore » of Bernstein and Armstrong (2014). Our first order estimator reduces to their estimator in the limit of zero shear, but it also naturally allows for the case of non-constant shear and the easy calculation of correlation functions or power spectra using standard methods. Both our first-order estimator and Bernstein and Armstrong’s estimator exhibit a bias which is quadratic in true shear. Our third-order estimator is, at least in the realm of the toy problem of Bernstein and Armstrong, unbiased to 0.1% in relative shear errors Δg/g for shears up to |g| = 0.2.« less

  20. State energy data report 1996: Consumption estimates

    SciTech Connect (OSTI)

    1999-02-01

    The State Energy Data Report (SEDR) provides annual time series estimates of State-level energy consumption by major economic sectors. The estimates are developed in the Combined State Energy Data System (CSEDS), which is maintained and operated by the Energy Information Administration (EIA). The goal in maintaining CSEDS is to create historical time series of energy consumption by State that are defined as consistently as possible over time and across sectors. CSEDS exists for two principal reasons: (1) to provide State energy consumption estimates to Members of Congress, Federal and State agencies, and the general public and (2) to provide the historical series necessary for EIA`s energy models. To the degree possible, energy consumption has been assigned to five sectors: residential, commercial, industrial, transportation, and electric utility sectors. Fuels covered are coal, natural gas, petroleum, nuclear electric power, hydroelectric power, biomass, and other, defined as electric power generated from geothermal, wind, photovoltaic, and solar thermal energy. 322 tabs.

  1. Estimating exposure of terrestrial wildlife to contaminants

    SciTech Connect (OSTI)

    Sample, B.E.; Suter, G.W. II

    1994-09-01

    This report describes generalized models for the estimation of contaminant exposure experienced by wildlife on the Oak Ridge Reservation. The primary exposure pathway considered is oral ingestion, e.g. the consumption of contaminated food, water, or soil. Exposure through dermal absorption and inhalation are special cases and are not considered hereIN. Because wildlife mobile and generally consume diverse diets and because environmental contamination is not spatial homogeneous, factors to account for variation in diet, movement, and contaminant distribution have been incorporated into the models. To facilitate the use and application of the models, life history parameters necessary to estimate exposure are summarized for 15 common wildlife species. Finally, to display the application of the models, exposure estimates were calculated for four species using data from a source operable unit on the Oak Ridge Reservation.

  2. Estimating vehicle height using homographic projections

    DOE Patents [OSTI]

    Cunningham, Mark F; Fabris, Lorenzo; Gee, Timothy F; Ghebretati, Jr., Frezghi H; Goddard, James S; Karnowski, Thomas P; Ziock, Klaus-peter

    2013-07-16

    Multiple homography transformations corresponding to different heights are generated in the field of view. A group of salient points within a common estimated height range is identified in a time series of video images of a moving object. Inter-salient point distances are measured for the group of salient points under the multiple homography transformations corresponding to the different heights. Variations in the inter-salient point distances under the multiple homography transformations are compared. The height of the group of salient points is estimated to be the height corresponding to the homography transformation that minimizes the variations.

  3. Estimating Fuel Cycle Externalities: Analytical Methods and Issues, Report 2

    SciTech Connect (OSTI)

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

    1994-07-01

    The activities that produce electric power typically range from extracting and transporting a fuel, to its conversion into electric power, and finally to the disposition of residual by-products. This chain of activities is called a fuel cycle. A fuel cycle has emissions and other effects that result in unintended consequences. When these consequences affect third parties (i.e., those other than the producers and consumers of the fuel-cycle activity) in a way that is not reflected in the price of electricity, they are termed ''hidden'' social costs or externalities. They are the economic value of environmental, health and any other impacts, that the price of electricity does not reflect. How do you estimate the externalities of fuel cycles? Our previous report describes a methodological framework for doing so--called the damage function approach. This approach consists of five steps: (1) characterize the most important fuel cycle activities and their discharges, where importance is based on the expected magnitude of their externalities, (2) estimate the changes in pollutant concentrations or other effects of those activities, by modeling the dispersion and transformation of each pollutant, (3) calculate the impacts on ecosystems, human health, and any other resources of value (such as man-made structures), (4) translate the estimates of impacts into economic terms to estimate damages and benefits, and (5) assess the extent to which these damages and benefits are externalities, not reflected in the price of electricity. Each step requires a different set of equations, models and analysis. Analysts generally believe this to be the best approach for estimating externalities, but it has hardly been used! The reason is that it requires considerable analysis and calculation, and to this point in time, the necessary equations and models have not been assembled. Equally important, the process of identifying and estimating externalities leads to a number of complex issues that also have not been fully addressed. This document contains two types of papers that seek to fill part of this void. Some of the papers describe analytical methods that can be applied to one of the five steps of the damage function approach. The other papers discuss some of the complex issues that arise in trying to estimate externalities. This report, the second in a series of eight reports, is part of a joint study by the U.S. Department of Energy (DOE) and the Commission of the European Communities (EC)* on the externalities of fuel cycles. Most of the papers in this report were originally written as working papers during the initial phases of this study. The papers provide descriptions of the (non-radiological) atmospheric dispersion modeling that the study uses; reviews much of the relevant literature on ecological and health effects, and on the economic valuation of those impacts; contains several papers on some of the more complex and contentious issues in estimating externalities; and describes a method for depicting the quality of scientific information that a study uses. The analytical methods and issues that this report discusses generally pertain to more than one of the fuel cycles, though not necessarily to all of them. The report is divided into six parts, each one focusing on a different subject area.

  4. 2006 Status Report Savings Estimates for the ENERGY STAR(R)Voluntary Labeling Program

    SciTech Connect (OSTI)

    Webber, Carrie A.; Brown, Richard E.; Sanchez, Marla; Homan,Gregory K.

    2006-03-07

    ENERGY STAR(R) is a voluntary labeling program designed toidentify and promote energy-efficient products, buildings and practices.Operated jointly by the Environmental Protection Agency (EPA) and theU.S. Department of Energy (DOE), ENERGY STAR labels exist for more thanthirty products, spanning office equipment, residential heating andcooling equipment, commercial and residential lighting, home electronics,and major appliances. This report presents savings estimates for a subsetof ENERGY STAR labeled products. We present estimates of the energy,dollar and carbon savings achieved by the program in the year 2005, whatwe expect in 2006, and provide savings forecasts for two marketpenetration scenarios for the periods 2006 to 2015 and 2006 to 2025. Thetarget market penetration forecast represents our best estimate of futureENERGY STAR savings. It is based on realistic market penetration goalsfor each of the products. We also provide a forecast under the assumptionof 100 percent market penetration; that is, we assume that all purchasersbuy ENERGY STAR-compliant products instead of standard efficiencyproducts throughout the analysis period.

  5. A model for estimation of potential generation of waste electrical and electronic equipment in Brazil

    SciTech Connect (OSTI)

    Araujo, Marcelo Guimaraes; Magrini, Alessandra; Mahler, Claudio Fernando; Bilitewski, Bernd

    2012-02-15

    Highlights: Black-Right-Pointing-Pointer Literature of WEEE generation in developing countries is reviewed. Black-Right-Pointing-Pointer We analyse existing estimates of WEEE generation for Brazil. Black-Right-Pointing-Pointer We present a model for WEEE generation estimate. Black-Right-Pointing-Pointer WEEE generation of 3.77 kg/capita year for 2008 is estimated. Black-Right-Pointing-Pointer Use of constant lifetime should be avoided for non-mature market products. - Abstract: Sales of electrical and electronic equipment are increasing dramatically in developing countries. Usually, there are no reliable data about quantities of the waste generated. A new law for solid waste management was enacted in Brazil in 2010, and the infrastructure to treat this waste must be planned, considering the volumes of the different types of electrical and electronic equipment generated. This paper reviews the literature regarding estimation of waste electrical and electronic equipment (WEEE), focusing on developing countries, particularly in Latin America. It briefly describes the current WEEE system in Brazil and presents an updated estimate of generation of WEEE. Considering the limited available data in Brazil, a model for WEEE generation estimation is proposed in which different methods are used for mature and non-mature market products. The results showed that the most important variable is the equipment lifetime, which requires a thorough understanding of consumer behavior to estimate. Since Brazil is a rapidly expanding market, the 'boom' in waste generation is still to come. In the near future, better data will provide more reliable estimation of waste generation and a clearer interpretation of the lifetime variable throughout the years.

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

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

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

  7. Estimated United States Residential Energy Use in 2005

    SciTech Connect (OSTI)

    Smith, C A; Johnson, D M; Simon, A J; Belles, R D

    2011-12-12

    A flow chart depicting energy flow in the residential sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 11,000 trillion British Thermal Units (trBTUs) of electricity and fuels were used throughout the United States residential sector in lighting, electronics, air conditioning, space heating, water heating, washing appliances, cooking appliances, refrigerators, and other appliances. The residential sector is powered mainly by electricity and natural gas. Other fuels used include petroleum products (fuel oil, liquefied petroleum gas and kerosene), biomass (wood), and on-premises solar, wind, and geothermal energy. The flow patterns represent a comprehensive systems view of energy used within the residential sector.

  8. Guidelines for Estimating Unmetered Landscaping Water Use

    SciTech Connect (OSTI)

    McMordie Stoughton, Kate

    2010-07-28

    The document lays-out step by step instructions to estimate landscaping water using two alternative approaches: evapotranspiration method and irrigation audit method. The evapotranspiration method option calculates the amount of water needed to maintain a healthy turf or landscaped area for a given location based on the amount of water transpired and evaporated from the plants. The evapotranspiration method offers a relatively easy one-stop-shop for Federal agencies to develop an initial estimate of annual landscape water use. The document presents annual irrigation factors for 36 cities across the U.S. that represents the gallons of irrigation required per square foot for distinct landscape types. By following the steps outlined in the document, the reader can choose a location that is a close match their location and landscape type to provide a rough estimate of annual irrigation needs without the need to research specific data on their site. The second option presented in the document is the irrigation audit method, which is the physical measurement of water applied to landscaped areas through irrigation equipment. Steps to perform an irrigation audit are outlined in the document, which follow the Recommended Audit Guidelines produced by the Irrigation Association.[5] An irrigation audit requires some knowledge on the specific procedures to accurately estimate how much water is being consumed by the irrigation equipment.

  9. Estimating the uncertainty in underresolved nonlinear dynamics

    SciTech Connect (OSTI)

    Chorin, Alelxandre; Hald, Ole

    2013-06-12

    The Mori-Zwanzig formalism of statistical mechanics is used to estimate the uncertainty caused by underresolution in the solution of a nonlinear dynamical system. A general approach is outlined and applied to a simple example. The noise term that describes the uncertainty turns out to be neither Markovian nor Gaussian. It is argued that this is the general situation.

  10. Cost estimate for a proposed GDF Suez LNG testing program

    SciTech Connect (OSTI)

    Blanchat, Thomas K.; Brady, Patrick Dennis; Jernigan, Dann A.; Luketa, Anay Josephine; Nissen, Mark R.; Lopez, Carlos; Vermillion, Nancy; Hightower, Marion Michael

    2014-02-01

    At the request of GDF Suez, a Rough Order of Magnitude (ROM) cost estimate was prepared for the design, construction, testing, and data analysis for an experimental series of large-scale (Liquefied Natural Gas) LNG spills on land and water that would result in the largest pool fires and vapor dispersion events ever conducted. Due to the expected cost of this large, multi-year program, the authors utilized Sandia's structured cost estimating methodology. This methodology insures that the efforts identified can be performed for the cost proposed at a plus or minus 30 percent confidence. The scale of the LNG spill, fire, and vapor dispersion tests proposed by GDF could produce hazard distances and testing safety issues that need to be fully explored. Based on our evaluations, Sandia can utilize much of our existing fire testing infrastructure for the large fire tests and some small dispersion tests (with some modifications) in Albuquerque, but we propose to develop a new dispersion testing site at our remote test area in Nevada because of the large hazard distances. While this might impact some testing logistics, the safety aspects warrant this approach. In addition, we have included a proposal to study cryogenic liquid spills on water and subsequent vaporization in the presence of waves. Sandia is working with DOE on applications that provide infrastructure pertinent to wave production. We present an approach to conduct repeatable wave/spill interaction testing that could utilize such infrastructure.

  11. A Review of Cost Estimation in New Technologies - Implications...

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

    This report reviews literature on cost estimation in several areas involving major capital ... projects, and cost estimating techniques and problems for chemical process plants. ...

  12. An Analytical Approach for Tail-Pipe Emissions Estimation with...

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

    An Analytical Approach for Tail-Pipe Emissions Estimation with Coupled Engine and Aftertreatment System An Analytical Approach for Tail-Pipe Emissions Estimation with Coupled Engine ...

  13. Estimating Carbon Supply Curves for Global Forests and Other...

    Open Energy Info (EERE)

    Estimating Carbon Supply Curves for Global Forests and Other Land Uses Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Estimating Carbon Supply Curves for Global Forests...

  14. Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive...

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

    Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive Applications: Fuel Cell Tech Team Review Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive...

  15. DC Microgrids Scoping Study: Estimate of Technical and Economic...

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

    Microgrids Scoping Study: Estimate of Technical and Economic Benefits (March 2015) DC Microgrids Scoping Study: Estimate of Technical and Economic Benefits (March 2015) Microgrid ...

  16. INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE ...

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

    INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE (ICE) Standard Operating Procedures INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE (ICE) Standard Operating...

  17. Error estimates for fission neutron outputs (Conference) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Error estimates for fission neutron outputs Citation Details In-Document Search Title: Error estimates for fission neutron outputs You are accessing a document from the...

  18. Estimating Costs and Efficiency of Storage, Demand, and Heat...

    Office of Environmental Management (EM)

    Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters A water heater's...

  19. Statistical Surrogate Models for Estimating Probability of High...

    Office of Scientific and Technical Information (OSTI)

    Statistical Surrogate Models for Estimating Probability of High-Consequence Climate Change. Citation Details In-Document Search Title: Statistical Surrogate Models for Estimating ...

  20. Analysis Procedures to Estimate Seismic Demands of Structures...

    Office of Environmental Management (EM)

    to Estimate Seismic Demands of Structures Presentation from the May 2015 Seismic Lessons-Learned Panel Meeting. PDF icon Analysis Procedures to Estimate Seismic Demands of...

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

    Open Energy Info (EERE)

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

  2. Property:Number of Plants Included in Planned Estimate | Open...

    Open Energy Info (EERE)

    Number of Plants Included in Planned Estimate Jump to: navigation, search Property Name Number of Plants Included in Planned Estimate Property Type String Description Number of...

  3. Estimating the Benefits and Costs of Distributed Energy Technologies...

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

    Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and Summary Estimating the Benefits and Costs of Distributed Energy Technologies Workshop -...

  4. Radiological Source Term Estimates for the February 14, 2014...

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

    Radiological Source Term Estimates for the February 14, 2014 WIPP Release Event Radiological Source Term Estimates for the February 14, 2014 WIPP Release Event This document was...

  5. Estimating the Impact (Energy, Emissions and Economics) of the...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Estimating the Impact (Energy, Emissions and Economics) of the US Fluid Power Industry Citation Details In-Document Search Title: Estimating the Impact (Energy, ...

  6. A Review of Geothermal Resource Estimation Methodology | Open...

    Open Energy Info (EERE)

    Geothermal Resource Estimation Methodology Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: A Review of Geothermal Resource Estimation...

  7. Estimation and Control of Diesel Engine Processes Utilizing Variable...

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

    Estimation and Control of Diesel Engine Processes Utilizing Variable Intake Valve Actuation Estimation and Control of Diesel Engine Processes Utilizing Variable Intake Valve ...

  8. Estimating Motor Efficiency in the Field | Department of Energy

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

    Estimating Motor Efficiency in the Field Estimating Motor Efficiency in the Field Some utility companies and public agencies offer rebates to encourage customers to upgrade their ...

  9. Energy Efficiency Product Standards

    Broader source: Energy.gov [DOE]

    New Jersey Energy Efficiency Product Standards, enacted in 2005, include minimum standards for eight products, which were preempted by the federal Energy Policy Act of 2005. Future standards, if...

  10. Monthly Biodiesel Production Report

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

    U.S. Biodiesel production, sales, and stocks million gallons Period B100 production Sales of B100 Sales of B100 included in biodiesel blends Ending stocks of B100 B100 stock change ...

  11. Monthly Biodiesel Production Report

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

    U.S. Inputs to biodiesel production million pounds Period Canola oil Corn oil Cottonseed ... Source: U.S. Energy Information Administration, Form EIA-22M "Monthly Biodiesel Production ...

  12. Indexes of Consumption and Production

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

    and backward-index estimates; that is, the two-way indexed estimate is the weighted average of the estimates obtained by forward and backward indexing, with higher weight...

  13. Hydrogen Production: Photobiological

    Broader source: Energy.gov [DOE]

    The photobiological hydrogen production process uses microorganisms and sunlight to turn water, and sometimes organic matter, into hydrogen.

  14. Handbook for quick cost estimates. A method for developing quick approximate estimates of costs for generic actions for nuclear power plants

    SciTech Connect (OSTI)

    Ball, J.R.

    1986-04-01

    This document is a supplement to a ''Handbook for Cost Estimating'' (NUREG/CR-3971) and provides specific guidance for developing ''quick'' approximate estimates of the cost of implementing generic regulatory requirements for nuclear power plants. A method is presented for relating the known construction costs for new nuclear power plants (as contained in the Energy Economic Data Base) to the cost of performing similar work, on a back-fit basis, at existing plants. Cost factors are presented to account for variations in such important cost areas as construction labor productivity, engineering and quality assurance, replacement energy, reworking of existing features, and regional variations in the cost of materials and labor. Other cost categories addressed in this handbook include those for changes in plant operating personnel and plant documents, licensee costs, NRC costs, and costs for other government agencies. Data sheets, worksheets, and appropriate cost algorithms are included to guide the user through preparation of rough estimates. A sample estimate is prepared using the method and the estimating tools provided.

  15. Coal production 1989

    SciTech Connect (OSTI)

    Not Available

    1990-11-29

    Coal Production 1989 provides comprehensive information about US coal production, the number of mines, prices, productivity, employment, reserves, and stocks to a wide audience including Congress, federal and state agencies, the coal industry, and the general public. 7 figs., 43 tabs.

  16. The ARM Best Estimate Station-based Surface (ARMBESTNS) Data set

    SciTech Connect (OSTI)

    Qi,Tang; Xie,Shaocheng

    2015-08-06

    The ARM Best Estimate Station-based Surface (ARMBESTNS) data set merges together key surface measurements from the Southern Great Plains (SGP) sites. It is a twin data product of the ARM Best Estimate 2-dimensional Gridded Surface (ARMBE2DGRID) data set. Unlike the 2DGRID data set, the STNS data are reported at the original site locations and show the original information, except for the interpolation over time. Therefore, users have the flexibility to process the data with the approach more suitable for their applications.

  17. Numerical Estimation of the Spent Fuel Ratio

    SciTech Connect (OSTI)

    Lindgren, Eric R.; Durbin, Samuel; Wilke, Jason; Margraf, J.; Dunn, T. A.

    2016-01-01

    Sabotage of spent nuclear fuel casks remains a concern nearly forty years after attacks against shipment casks were first analyzed and has a renewed relevance in the post-9/11 environment. A limited number of full-scale tests and supporting efforts using surrogate materials, typically depleted uranium dioxide (DUO 2 ), have been conducted in the interim to more definitively determine the source term from these postulated events. However, the validity of these large- scale results remain in question due to the lack of a defensible spent fuel ratio (SFR), defined as the amount of respirable aerosol generated by an attack on a mass of spent fuel compared to that of an otherwise identical surrogate. Previous attempts to define the SFR in the 1980's have resulted in estimates ranging from 0.42 to 12 and include suboptimal experimental techniques and data comparisons. Because of the large uncertainty surrounding the SFR, estimates of releases from security-related events may be unnecessarily conservative. Credible arguments exist that the SFR does not exceed a value of unity. A defensible determination of the SFR in this lower range would greatly reduce the calculated risk associated with the transport and storage of spent nuclear fuel in dry cask systems. In the present work, the shock physics codes CTH and ALE3D were used to simulate spent nuclear fuel (SNF) and DUO 2 targets impacted by a high-velocity jet at an ambient temperature condition. These preliminary results are used to illustrate an approach to estimate the respirable release fraction for each type of material and ultimately, an estimate of the SFR. This page intentionally blank

  18. State energy data report 1992: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1994-05-01

    This is a report of energy consumption by state for the years 1960 to 1992. The report contains summaries of energy consumption for the US and by state, consumption by source, comparisons to other energy use reports, consumption by energy use sector, and describes the estimation methodologies used in the preparation of the report. Some years are not listed specifically although they are included in the summary of data.

  19. Generalized REGression Package for Nonlinear Parameter Estimation

    Energy Science and Technology Software Center (OSTI)

    1995-05-15

    GREG computes modal (maximum-posterior-density) and interval estimates of the parameters in a user-provided Fortran subroutine MODEL, using a user-provided vector OBS of single-response observations or matrix OBS of multiresponse observations. GREG can also select the optimal next experiment from a menu of simulated candidates, so as to minimize the volume of the parametric inference region based on the resulting augmented data set.

  20. Knowledge Based Estimation of Material Release Transients

    Energy Science and Technology Software Center (OSTI)

    1998-07-29

    KBERT is an easy to use desktop decision support tool for estimating public and in-facility worker doses and consequences of radioactive material releases in non-reactort nuclear facilities. It automatically calculates release and respirable fractions based on published handbook data, and calculates material transport concurrently with personnel evacuation simulations. Any facility layout can be modeled easily using the intuitive graphical user interface.

  1. Notices Total Estimated Number of Annual

    Energy Savers [EERE]

    372 Federal Register / Vol. 78, No. 181 / Wednesday, September 18, 2013 / Notices Total Estimated Number of Annual Burden Hours: 10,128. Abstract: Enrollment in the Federal Student Aid (FSA) Student Aid Internet Gateway (SAIG) allows eligible entities to securely exchange Title IV, Higher Education Act (HEA) assistance programs data electronically with the Department of Education processors. Organizations establish Destination Point Administrators (DPAs) to transmit, receive, view and update

  2. Communications circuit including a linear quadratic estimator

    DOE Patents [OSTI]

    Ferguson, Dennis D.

    2015-07-07

    A circuit includes a linear quadratic estimator (LQE) configured to receive a plurality of measurements a signal. The LQE is configured to weight the measurements based on their respective uncertainties to produce weighted averages. The circuit further includes a controller coupled to the LQE and configured to selectively adjust at least one data link parameter associated with a communication channel in response to receiving the weighted averages.

  3. Annual Coded Wire Tag Program; Oregon Missing Production Groups, 1994 Annual Report.

    SciTech Connect (OSTI)

    Garrison, Robert L.; Isaac, Dennis L.; Lewis, Mark A.

    1994-12-01

    The goal of this program is to develop the ability to estimate hatchery production survival values and evaluate effectiveness of Oregon hatcheries. To accomplish this goal. We are tagging missing production groups within hatcheries to assure each production group is identifiable to allow future evaluation upon recovery of tag data.

  4. Ethanol Demand in United States Gasoline Production

    SciTech Connect (OSTI)

    Hadder, G.R.

    1998-11-24

    The Oak Ridge National Laboratory (OWL) Refinery Yield Model (RYM) has been used to estimate the demand for ethanol in U.S. gasoline production in year 2010. Study cases examine ethanol demand with variations in world oil price, cost of competing oxygenate, ethanol value, and gasoline specifications. For combined-regions outside California summer ethanol demand is dominated by conventional gasoline (CG) because the premised share of reformulated gasoline (RFG) production is relatively low and because CG offers greater flexibility for blending high vapor pressure components like ethanol. Vapor pressure advantages disappear for winter CG, but total ethanol used in winter RFG remains low because of the low RFG production share. In California, relatively less ethanol is used in CG because the RFG production share is very high. During the winter in California, there is a significant increase in use of ethanol in RFG, as ethanol displaces lower-vapor-pressure ethers. Estimated U.S. ethanol demand is a function of the refiner value of ethanol. For example, ethanol demand for reference conditions in year 2010 is 2 billion gallons per year (BGY) at a refiner value of $1.00 per gallon (1996 dollars), and 9 BGY at a refiner value of $0.60 per gallon. Ethanol demand could be increased with higher oil prices, or by changes in gasoline specifications for oxygen content, sulfur content, emissions of volatile organic compounds (VOCS), and octane numbers.

  5. Mississippi (with State off) Coalbed Methane Production (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 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 Estimated Production Mississippi Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane Production

  6. New Mexico--East Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) New Mexico--East 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 2 0 1 2010's 3 5 10 13 25 - = 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 NM, East Shale Gas Proved Reserves, Reserves Changes, and Production

  7. New Mexico--West Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) New Mexico--West Shale Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 1 2010's 3 4 3 3 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas Estimated Production NM, West Shale Gas Proved Reserves, Reserves Changes, and Production

  8. New York Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 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 Estimated Production New York Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane Production

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

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 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 Estimated Production North Dakota Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane Production

  10. Alaska (with Total Offshore) Coalbed Methane Production (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 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 Estimated Production Alaska Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane Production

  11. California (with State off) Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 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 Estimated Production California Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane Production

  12. Hydrogen Station Cost Estimates: Comparing Hydrogen Station Cost Calculator Results with other Recent Estimates

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

    Hydrogen Station Cost Estimates Comparing Hydrogen Station Cost Calculator Results with other Recent Estimates M. Melaina and M. Penev National Renewable Energy Laboratory Technical Report NREL/TP-5400-56412 September 2013 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at

  13. Pension Estimate System PIA, Bechtel Jacobs Company, LLC | Department of

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

    Energy Pension Estimate System PIA, Bechtel Jacobs Company, LLC Pension Estimate System PIA, Bechtel Jacobs Company, LLC Pension Estimate System PIA, Bechtel Jacobs Company, LLC PDF icon Pension Estimate System PIA, Bechtel Jacobs Company, LLC More Documents & Publications Electronic Document Management System PIA, BechtelJacobs Company, LLC Dosimetry Records System PIA, bechtel Jacobs Company, LLC Medgate, PIA, Bechtel Jacobs

  14. Price controls and international petroleum product prices

    SciTech Connect (OSTI)

    Deacon, R.T.; Mead, W.J.; Agarwal, V.B.

    1980-02-01

    The effects of Federal refined-product price controls upon the price of motor gasoline in the United States through 1977 are examined. A comparison of domestic and foreign gasoline prices is made, based on the prices of products actually moving in international trade. There is also an effort to ascribe US/foreign market price differentials to identifiable cost factors. Primary emphasis is on price comparisons at the wholesale level, although some retail comparisons are presented. The study also examines the extent to which product price controls are binding, and attempts to estimate what the price of motor gasoline would have been in the absence of controls. The time period under consideration is from 1969 through 1977, with primary focus on price relationships in 1970-1971 (just before US controls) and 1976-1977. The foreign-domestic comparisons are made with respect to four major US cities, namely, Boston, New York, New Orleans, and Los Angeles. 20 figures, 14 tables.

  15. Hydrogen Production by Water Biophotolysis

    SciTech Connect (OSTI)

    Ghirardi, Maria L.; King, Paul W.; Mulder, David W.; Eckert, Carrie; Dubini, Alexandra; Maness, Pin-Ching; Yu, Jianping

    2014-01-22

    The use of microalgae for production of hydrogen gas from water photolysis has been studied for many years, but its commercialization is still limited by multiple challenges. Most of the barriers to commercialization are attributed to the existence of biological regulatory mechanisms that, under anaerobic conditions, quench the absorbed light energy, down-regulate linear electron transfer, inactivate the H2-producing enzyme, and compete for electrons with the hydrogenase. Consequently, the conversion efficiency of absorbed photons into H2 is significantly lower than its estimated potential of 1213 %. However, extensive research continues towards addressing these barriers by either trying to understand and circumvent intracellular regulatory mechanisms at the enzyme and metabolic level or by developing biological systems that achieve prolonged H2 production albeit under lower than 1213 % solar conversion efficiency. This chapter describes the metabolic pathways involved in biological H2 photoproduction from water photolysis, the attributes of the two hydrogenases, [FeFe] and [NiFe], that catalyze biological H2 production, and highlights research related to addressing the barriers described above. These highlights include: (a) recent advances in improving our understanding of the O2 inactivation mechanism in different classes of hydrogenases; (b) progress made in preventing competitive pathways from diverting electrons from H2 photoproduction; and (c) new developments in bypassing the non-dissipated proton gradient from down-regulating photosynthetic electron transfer. As an example of a major success story, we mention the generation of truncated-antenna mutants in Chlamydomonas and Synechocystis that address the inherent low-light saturation of photosynthesis. In addition, we highlight the rationale and progress towards coupling biological hydrogenases to non-biological, photochemical charge-separation as a means to bypass the barriers of photobiological systems.

  16. Coal Production 1992

    SciTech Connect (OSTI)

    Not Available

    1993-10-29

    Coal Production 1992 provides comprehensive information about US coal production, the number of mines, prices, productivity, employment, productive capacity, and recoverable reserves to a wide audience including Congress, Federal and State agencies, the coal industry, and the general public. In 1992, there were 3,439 active coal mining operations made up of all mines, preparation plants, and refuse operations. The data in Table 1 cover the 2,746 mines that produced coal, regardless of the amount of production, except for bituminous refuse mines. Tables 2 through 33 include data from the 2,852 mining operations that produced, processed, or prepared 10 thousand or more short tons of coal during the period, except for bituminous refuse, and includes preparation plants with 5 thousand or more employee hours. These mining operations accounted for over 99 percent of total US coal production and represented 83 percent of all US coal mining operations in 1992.

  17. U.S. Weekly Supply Estimates

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

    Percent Operable Utilization 88.3 87.3 88.3 89.1 89.0 88.4 1990-2016 Refiner and Blender ... Fuel Ethanol 878 882 882 878 888 867 2010-2016 Refiner and Blender Net Production Finished ...

  18. Position estimation of transceivers in communication networks

    DOE Patents [OSTI]

    Kent, Claudia A. (Pleasanton, CA); Dowla, Farid (Castro Valley, CA)

    2008-06-03

    This invention provides a system and method using wireless communication interfaces coupled with statistical processing of time-of-flight data to locate by position estimation unknown wireless receivers. Such an invention can be applied in sensor network applications, such as environmental monitoring of water in the soil or chemicals in the air where the position of the network nodes is deemed critical. Moreover, the present invention can be arranged to operate in areas where a Global Positioning System (GPS) is not available, such as inside buildings, caves, and tunnels.

  19. Process Equipment Cost Estimation, Final Report

    Office of Scientific and Technical Information (OSTI)

    Process Equipment Cost Estimation Final Report January 2002 H.P. Loh U.S. Department of Energy National Energy Technology Laboratory P.O. Box 10940, 626 Cochrans Mill Road Pittsburgh, PA 15236-0940 and P.O. Box 880, 3610 Collins Ferry Road Morgantown, WV 26507-0880 and Jennifer Lyons and Charles W. White, III EG&G Technical Services, Inc. 3604 Collins Ferry Road, Suite 200 Morgantown, WV 26505 DOE/NETL-2002/1169 ii Disclaimer This report was prepared as an account of work sponsored by an

  20. Estimated United States Transportation Energy Use 2005

    SciTech Connect (OSTI)

    Smith, C A; Simon, A J; Belles, R D

    2011-11-09

    A flow chart depicting energy flow in the transportation sector of the United States economy in 2005 has been constructed from publicly available data and estimates of national energy use patterns. Approximately 31,000 trillion British Thermal Units (trBTUs) of energy were used throughout the United States in transportation activities. Vehicles used in these activities include automobiles, motorcycles, trucks, buses, airplanes, rail, and ships. The transportation sector is powered primarily by petroleum-derived fuels (gasoline, diesel and jet fuel). Biomass-derived fuels, electricity and natural gas-derived fuels are also used. The flow patterns represent a comprehensive systems view of energy used within the transportation sector.

  1. WEATHER PREDICTIONS AND SURFACE RADIATION ESTIMATES

    Office of Legacy Management (LM)

    ARLV - 3 51 - 4 / WEATHER PREDICTIONS AND SURFACE RADIATION ESTIMATES for the RULISON EVENT Final Report Albert H . S t o u t , Ray E . White, and V i r g i l E. Quinn Environmental Science Services Administration A i r Resources Laboratory - Las Vegas PROPERW OF U. S. GOVERNMENT Prepared Under Contract SF-54-351 f o r the Nevada Operations O f f i c e U . ' S . Atomic Energy Commission January 1970 LEGAL NOTSCCE ; L *U . . . . . - . T h i s r e p o r t w a s prepared a s an account o f

  2. Cell Total Activity Final Estimate.xls

    Office of Legacy Management (LM)

    WSSRAP Cell Total Activity Final Estimate (calculated September 2002, Fleming) (Waste streams & occupied cell volumes from spreadsheet titled "cell waste volumes-8.23.02 with macros.xls") Waste Stream a Volume (cy) Mass (g) 2 Radiological Profile 3 Nuclide Activity (Ci) 4 Total % of Total U-238 U-234 U-235 Th-228 Th-230 Th-232 Ra-226 Ra-228 Rn-222 5 Activity if > 1% Raffinate Pits Work Zone (Ci) Raffinate processed through CSS Plant 1 159990 1.49E+11 Raffinate 6.12E+01 6.12E+01

  3. ARM - VAP Product - armbestns

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

    Productsarmbestnsarmbestns Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1178332 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : ARMBESTNS Station-based Surface Products Active Dates 2011.01.01 - 2011.12.31 Originating VAP Process Station-based Surface Products : ARMBESTNS Measurements The measurements below provided by this product

  4. Microbial production of epoxides

    DOE Patents [OSTI]

    Clark, Thomas R.; Roberto, Francisco F.

    2003-06-10

    A method for microbial production of epoxides and other oxygenated products is disclosed. The method uses a biocatalyst of methanotrophic bacteria cultured in a biphasic medium containing a major amount of a non-aqueous polar solvent. Regeneration of reducing equivalents is carried out by using endogenous hydrogenase activity together with supplied hydrogen gas. This method is especially effective with gaseous substrates and cofactors that result in liquid products.

  5. Production | Department of Energy

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

    Research & Development » Algal Biofuels » Production Production PNNL image Algae production R&D focuses on exploring resource use and availability, algal biomass development and improvements, characterizing algal biomass components, and the ecology and engineering of cultivation systems. Resource Use Resources necessary to grow algae sustainably include non-arable land, non-potable water, waste nutrient streams, waste carbon dioxide, sufficient sunlight, and supporting infrastructure

  6. Production | Department of Energy

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

    Production Production PNNL image Algae production R&D focuses on exploring resource use and availability, algal biomass development and improvements, characterizing algal biomass components, and the ecology and engineering of cultivation systems. Resource Use Resources necessary to grow algae sustainably include non-arable land, non-potable water, waste nutrient streams, waste carbon dioxide, sufficient sunlight, and supporting infrastructure to access downstream processing operations.

  7. Shielding and activity estimator for template-based nuclide identification methods

    DOE Patents [OSTI]

    Nelson, Karl Einar

    2013-04-09

    According to one embodiment, a method for estimating an activity of one or more radio-nuclides includes receiving one or more templates, the one or more templates corresponding to one or more radio-nuclides which contribute to a probable solution, receiving one or more weighting factors, each weighting factor representing a contribution of one radio-nuclide to the probable solution, computing an effective areal density for each of the one more radio-nuclides, computing an effective atomic number (Z) for each of the one more radio-nuclides, computing an effective metric for each of the one or more radio-nuclides, and computing an estimated activity for each of the one or more radio-nuclides. In other embodiments, computer program products, systems, and other methods are presented for estimating an activity of one or more radio-nuclides.

  8. Review of health and productivity gains from better IEQ

    SciTech Connect (OSTI)

    Fisk, William J.

    2000-08-01

    The available scientific data suggest that existing technologies and procedures can improve indoor environmental quality (IEQ) in a manner that significantly increases productivity and health. While there is considerable uncertainty in the estimates of the magnitudes of productivity gains that may be obtained, the projected gains are very large. For the U.S., the estimated potential annual savings and productivity gains are $6 to $14 billion from reduced respiratory disease, $2 to $4 billion from reduced allergies and asthma, $10 to $30 billion from reduced sick building syndrome symptoms, and $20 to $160 billion from direct improvements in worker performance that are unrelated to health. Productivity gains that are quantified and demonstrated could serve as a strong stimulus for energy efficiency measures that simultaneously improve the indoor environment.

  9. Security Administration Production Office,

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

    and Services: Victoria Steward 43 years Facilities, Infrastructure and Services: Erby L. Harris and David Vann Production: Charles H. Neal Quality Assurance: Gary W. Eckert 41...

  10. Microsystem product development.

    SciTech Connect (OSTI)

    Polosky, Marc A.; Garcia, Ernest J.

    2006-04-01

    Over the last decade the successful design and fabrication of complex MEMS (MicroElectroMechanical Systems), optical circuits and ASICs have been demonstrated. Packaging and integration processes have lagged behind MEMS research but are rapidly maturing. As packaging processes evolve, a new challenge presents itself, microsystem product development. Product development entails the maturation of the design and all the processes needed to successfully produce a product. Elements such as tooling design, fixtures, gages, testers, inspection, work instructions, process planning, etc., are often overlooked as MEMS engineers concentrate on design, fabrication and packaging processes. Thorough, up-front planning of product development efforts is crucial to the success of any project.

  11. J/ψ Production

    Office of Scientific and Technical Information (OSTI)

    much larger than possible excitation, temperature for example, of the system created in ... Therefore, study- ing open charm and charmonium production will yield important ...

  12. Furfuryl alcohol cellular product

    DOE Patents [OSTI]

    Sugama, T.; Kukacka, L.E.

    1982-05-26

    Self-extinguishing rigid foam products are formed by polymerization of furfuryl alcohol in the presence of a lightweight, particulate, filler, zinc chloride and selected catalysts.

  13. Procurable Products, Services

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

    printed wiring boards (PWB) using performance and design specifications. Commercial products and services procurement The following items are purchased through Just-In-Time...

  14. Product Efficiency Cases

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

    granting an Application for Exception filed by Technical Consumer Products, Inc. (TCP) for relief from the provisions of 10 C.F.R. Part 430, Energy Conservation Program:...

  15. ,"Weekly Blender Net Production"

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

    Blender Net Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Weekly Blender Net ...

  16. Weekly Blender Net Production

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

    Blender Net Production (Thousand Barrels per Day) Period: Weekly 4-Week Average Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & ...

  17. Crude Oil Domestic Production

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

    Data Series: Crude Oil Domestic Production Refinery Crude Oil Inputs Refinery Gross Inputs Refinery Operable Capacity (Calendar Day) Refinery Percent Operable Utilization Net ...

  18. Shale Gas Production

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

    Gas Production (Billion Cubic Feet) Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes 2009 2010 2011 2012...

  19. Sunforce Products | Open Energy Information

    Open Energy Info (EERE)

    energy Product: Manufacturer and distributor of solar and wind power generation and battery charging products. References: Sunforce Products1 This article is a stub. You can...

  20. Estimates of Savings Achievable from Irrigation Controller

    SciTech Connect (OSTI)

    Williams, Alison; Fuchs, Heidi; Whitehead, Camilla Dunham

    2014-03-28

    This paper performs a literature review and meta-analysis of water savings from several types of advanced irrigation controllers: rain sensors (RS), weather-based irrigation controllers (WBIC), and soil moisture sensors (SMS).The purpose of this work is to derive average water savings per controller type, based to the extent possible on all available data. After a preliminary data scrubbing, we utilized a series of analytical filters to develop our best estimate of average savings. We applied filters to remove data that might bias the sample such as data self-reported by manufacturers, data resulting from studies focusing on high-water users, or data presented in a non-comparable format such as based on total household water use instead of outdoor water use. Because the resulting number of studies was too small to be statistically significant when broken down by controller type, this paper represents a survey and synthesis of available data rather than a definitive statement regarding whether the estimated water savings are representative.

  1. Risk Estimation Methodology for Launch Accidents.

    SciTech Connect (OSTI)

    Clayton, Daniel James; Lipinski, Ronald J.; Bechtel, Ryan D.

    2014-02-01

    As compact and light weight power sources with reliable, long lives, Radioisotope Power Systems (RPSs) have made space missions to explore the solar system possible. Due to the hazardous material that can be released during a launch accident, the potential health risk of an accident must be quantified, so that appropriate launch approval decisions can be made. One part of the risk estimation involves modeling the response of the RPS to potential accident environments. Due to the complexity of modeling the full RPS response deterministically on dynamic variables, the evaluation is performed in a stochastic manner with a Monte Carlo simulation. The potential consequences can be determined by modeling the transport of the hazardous material in the environment and in human biological pathways. The consequence analysis results are summed and weighted by appropriate likelihood values to give a collection of probabilistic results for the estimation of the potential health risk. This information is used to guide RPS designs, spacecraft designs, mission architecture, or launch procedures to potentially reduce the risk, as well as to inform decision makers of the potential health risks resulting from the use of RPSs for space missions.

  2. The Impact of Ethanol Production on U.S. and Regional Gasoline Prices and on the Profitability of the U.S. Oil Refinery Industry

    SciTech Connect (OSTI)

    Du, Xiaodong; Hayes, Dermot J.

    2008-04-01

    This report details pooled regional time-series data and panel data estimation used to quantify the impact of monthly ethanol production on monthly retail regular gasoline prices.

  3. Estimating Terrorist Risk with Possibility Theory

    SciTech Connect (OSTI)

    J.L. Darby

    2004-11-30

    This report summarizes techniques that use possibility theory to estimate the risk of terrorist acts. These techniques were developed under the sponsorship of the Department of Homeland Security (DHS) as part of the National Infrastructure Simulation Analysis Center (NISAC) project. The techniques have been used to estimate the risk of various terrorist scenarios to support NISAC analyses during 2004. The techniques are based on the Logic Evolved Decision (LED) methodology developed over the past few years by Terry Bott and Steve Eisenhawer at LANL. [LED] The LED methodology involves the use of fuzzy sets, possibility theory, and approximate reasoning. LED captures the uncertainty due to vagueness and imprecision that is inherent in the fidelity of the information available for terrorist acts; probability theory cannot capture these uncertainties. This report does not address the philosophy supporting the development of nonprobabilistic approaches, and it does not discuss possibility theory in detail. The references provide a detailed discussion of these subjects. [Shafer] [Klir and Yuan] [Dubois and Prade] Suffice to say that these approaches were developed to address types of uncertainty that cannot be addressed by a probability measure. An earlier report discussed in detail the problems with using a probability measure to evaluate terrorist risk. [Darby Methodology]. Two related techniques are discussed in this report: (1) a numerical technique, and (2) a linguistic technique. The numerical technique uses traditional possibility theory applied to crisp sets, while the linguistic technique applies possibility theory to fuzzy sets. Both of these techniques as applied to terrorist risk for NISAC applications are implemented in software called PossibleRisk. The techniques implemented in PossibleRisk were developed specifically for use in estimating terrorist risk for the NISAC program. The LEDTools code can be used to perform the same linguistic evaluation as performed in PossibleRisk. [LEDTools] LEDTools is a general purpose linguistic evaluation tool and allows user defined universes of discourse and approximate reasoning rules, whereas PossibleRisk uses predefined universes of discourse (risk, attack, success, loss, and consequence) and rules. Also LEDTools has the capability to model a large number of threat scenarios with a graph and to integrate the scenarios (paths from the graph) into the linguistic evaluation. Example uses of PossibleRisk and LEDTools for the possibilistic evaluation of terrorist risk are provided in this report.

  4. "Variable","Average Absolute Percent Differences","Percent of Projections Over- Estimated"

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

    Annual Energy Outlook Retrospective Review, 2014" "Variable","Average Absolute Percent Differences","Percent of Projections Over- Estimated" "Gross Domestic Product" "Real Gross Domestic Product (Average Cumulative Growth)* (Table 2)",0.9204312786,45.77777778 "Petroleum" "Imported Refiner Acquisition Cost of Crude Oil (Constant $) (Table 3a)",37.71300779,17.33333333 "Imported Refiner Acquisition Cost of Crude Oil

  5. Energy Production from Zoo Animal Wastes

    SciTech Connect (OSTI)

    Klasson, KT

    2003-04-07

    Elephant and rhinoceros dung was used to investigate the feasibility of generating methane from the dung. The Knoxville Zoo produces 30 cubic yards (23 m{sup 3}) of herbivore dung per week and cost of disposal of this dung is $105/week. The majority of this dung originates from the Zoo's elephant and rhinoceros population. The estimated weight of the dung is 20 metric tons per week and the methane production potential determined in experiments was 0.033 L biogas/g dung (0.020 L CH{sub 4}/g dung), and the digestion of elephant dung was enhanced by the addition of ammonium nitrogen. Digestion was better overall at 37 C when compared to digestion at 50 C. Based on the amount of dung generated at the Knoxville Zoo, it is estimated that two standard garden grills could be operated 24 h per day using the gas from a digester treating 20 metric ton herbivore dung per week.

  6. Buy Energy-Efficient Products (Fact Sheet), Federal Energy Management Program (FEMP)

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

    FEMP estimates that Federal purchases of energy-efficient products could have saved the government a half billion dollars in 2011. Photo from: iStock 17416102 Buy Energy- Efficient Products A Guide for Federal Purchasers and Specifiers Efficient product purchases can really add up. In a single year, they could save the Federal Government almost a half billion dollars worth of energy. Every day, Federal employees and contractors make product choices. With each choice comes an opportunity to

  7. Figure 6. Projected Production for the Low Development Rate of Technically

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

    Recoverable Oil 6. Projected Production for the Low Development Rate of Technically Recoverable Oil Estimated at 5 Percent, Mean, and 95 Percent Probabilities for the ANWR Coastal Plain of the Alaska North Slope fig6.jpg (41132

  8. New developments in capital cost estimating

    SciTech Connect (OSTI)

    Stutz, R.A.; Zocher, M.A.

    1988-01-01

    The new developments in cost engineering revolve around the ability to capture information that in the past could not be automated. The purpose of automation is not to eliminate the expert cost engineer. The goal is to use available technology to have more information available to the professionals in the cost engineering field. In that sense, the demand for expertise increases in order to produce the highest quality estimate and project possible from all levels of cost engineers. We cannot overemphasize the importance of using a good source of expert information in building these types of programs. ''Garbage in, garbage out'' still applies in this form of programming. Expert systems technology will become commonplace in many vertical markets; it is important to undersand what can and cannot be accomplished in our field, and where this technology will lead us in the future.

  9. Contractor: Contract Number: Contract Type: Total Estimated

    Office of Environmental Management (EM)

    Contract Number: Contract Type: Total Estimated Contract Cost: Performance Period Total Fee Paid FY2004 $294,316 FY2005 $820,074 FY2006 $799,449 FY2007 $877,898 FY2008 $866,608 FY2009 $886,404 FY2010 $800,314 FY2011 $871,280 FY2012 $824,517 FY2013 Cumulative Fee Paid $7,040,860 $820,074 $799,449 $877,898 $916,130 $886,608 Computer Sciences Corporation DE-AC06-04RL14383 $895,358 $899,230 $907,583 Cost Plus Award Fee $134,100,336 $8,221,404 Fee Available Contract Period: Fee Information Minimum

  10. Cost estimation for solid waste management in industrialising regions - Precedents, problems and prospects

    SciTech Connect (OSTI)

    Parthan, Shantha R.; Milke, Mark W.; Wilson, David C.; Cocks, John H.

    2012-03-15

    Highlights: Black-Right-Pointing-Pointer We review cost estimation approaches for solid waste management. Black-Right-Pointing-Pointer Unit cost method and benchmarking techniques used in industrialising regions (IR). Black-Right-Pointing-Pointer Variety in scope, quality and stakeholders makes cost estimation challenging in IR. Black-Right-Pointing-Pointer Integrate waste flow and cost models using cost functions to improve cost planning. - Abstract: The importance of cost planning for solid waste management (SWM) in industrialising regions (IR) is not well recognised. The approaches used to estimate costs of SWM can broadly be classified into three categories - the unit cost method, benchmarking techniques and developing cost models using sub-approaches such as cost and production function analysis. These methods have been developed into computer programmes with varying functionality and utility. IR mostly use the unit cost and benchmarking approach to estimate their SWM costs. The models for cost estimation, on the other hand, are used at times in industrialised countries, but not in IR. Taken together, these approaches could be viewed as precedents that can be modified appropriately to suit waste management systems in IR. The main challenges (or problems) one might face while attempting to do so are a lack of cost data, and a lack of quality for what data do exist. There are practical benefits to planners in IR where solid waste problems are critical and budgets are limited.

  11. Top-down methane emissions estimates for the San Francisco Bay Area from 1990 to 2012

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

    Fairley, David; Fischer, Marc L.

    2015-01-30

    Methane is a potent greenhouse gas (GHG) that is now included in both California State and San Francisco Bay Area (SFBA) bottom-up emission inventories as part of California's effort to reduce anthropogenic GHG emissions. Here we provide a top-down estimate of methane (CH4) emissions from the SFBA by combining atmospheric measurements with the comparatively better estimated emission inventory for carbon monoxide (CO). Local enhancements of CH4 and CO are estimated using measurements from 14 air quality sites in the SFBA combined together with global background measurements. Mean annual CH4 emissions are estimated from the product of Bay Area Air Qualitymore » Management District (BAAQMD) emission inventory CO and the slope of ambient local CH4 to CO. The resulting top-down estimates of CH4 emissions are found to decrease slightly from 1990 to 2012, with a mean value of 240 ± 60 GgCH4 yr⁻¹ (at 95% confidence) in the most recent (2009–2012) period, and correspond to reasonably a constant factor of 1.5–2.0 (at 95% confidence) times larger than the BAAQMD CH4 emission inventory. However, we note that uncertainty in these emission estimates is dominated by the variation in CH4:CO enhancement ratios across the observing sites and we expect the estimates could represent a lower-limit on CH4 emissions because BAAQMD monitoring sites focus on urban air quality and may be biased toward CO rather than CH4 sources.« less

  12. Top-down methane emissions estimates for the San Francisco Bay Area from 1990 to 2012

    SciTech Connect (OSTI)

    Fairley, David; Fischer, Marc L.

    2015-01-30

    Methane is a potent greenhouse gas (GHG) that is now included in both California State and San Francisco Bay Area (SFBA) bottom-up emission inventories as part of California's effort to reduce anthropogenic GHG emissions. Here we provide a top-down estimate of methane (CH4) emissions from the SFBA by combining atmospheric measurements with the comparatively better estimated emission inventory for carbon monoxide (CO). Local enhancements of CH4 and CO are estimated using measurements from 14 air quality sites in the SFBA combined together with global background measurements. Mean annual CH4 emissions are estimated from the product of Bay Area Air Quality Management District (BAAQMD) emission inventory CO and the slope of ambient local CH4 to CO. The resulting top-down estimates of CH4 emissions are found to decrease slightly from 1990 to 2012, with a mean value of 240 60 GgCH4 yr? (at 95% confidence) in the most recent (20092012) period, and correspond to reasonably a constant factor of 1.52.0 (at 95% confidence) times larger than the BAAQMD CH4 emission inventory. However, we note that uncertainty in these emission estimates is dominated by the variation in CH4:CO enhancement ratios across the observing sites and we expect the estimates could represent a lower-limit on CH4 emissions because BAAQMD monitoring sites focus on urban air quality and may be biased toward CO rather than CH4 sources.

  13. Louisiana Coalbed Methane Proved Reserves, Reserves Changes, and Production

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

    8 0 0 0 0 0 2009-2014 Acquisitions 0 0 0 0 0 0 2009-2014 Extensions 0 0 0 0 0 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 1

  14. Microsoft PowerPoint - SEDS Production cover.pptx

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

    1 2011 Summary Tables Table P1. Energy Production Estimates in Physical Units, 2011 Alabama 19,381 195,581 8,374 0 Alaska 2,149 356,225 204,829 0 Arizona 8,111 168 37 1,345...

  15. Calendar Year 2009 Program Benefits for ENERGY STAR Labeled Products

    SciTech Connect (OSTI)

    Homan, Gregory K; Sanchez, Marla C.; Brown, Richard E.

    2010-11-15

    ENERGY STAR is a voluntary energy efficiency labeling program operated jointly by the Environmental Protection Agency (US EPA) and the U.S. Department of Energy (US DOE), designed to identify and promote energy-efficient products, buildings and practices. Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products, and currently labels more than thirty products, spanning office equipment, heating, cooling and ventilation equipment, commercial and residential lighting, home electronics, and major appliances. ENERGY STAR's central role in the development of regional, national and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with stakeholders. This report presents savings estimates from the use ENERGY STAR labeled products. We present estimates of energy, dollar, and carbon savings achieved by the program in the year 2009, annual forecasts for 2010 and 2011, and cumulative savings estimates for the period 1993 through 2009 and cumulative forecasts for the period 2010 through 2015. Through 2009 the program saved 9.5 Quads of primary energy and avoided the equivalent of 170 million metric tons carbon (MMTC). The forecast for the period 2009-2015 is 11.5 Quads or primary energy saved and 202 MMTC emissions avoided. The sensitivity analysis bounds the best estimate of carbon avoided between 110 MMTC and 231 MMTC (1993 to 2009) and between 130 MMTC and 285 MMTC (2010 to 2015).

  16. New DOE Modeling Tool Estimates Economic Benefits of Offshore...

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

    Modeling Tool Estimates Economic Benefits of Offshore Wind Plants New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants October 1, 2013 - 3:28pm Addthis To help ...

  17. Property:EstimatedCostLowUSD | Open Energy Information

    Open Energy Info (EERE)

    Name EstimatedCostLowUSD Property Type Quantity Description the low estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one...

  18. Property:EstimatedCostHighUSD | Open Energy Information

    Open Energy Info (EERE)

    Name EstimatedCostHighUSD Property Type Quantity Description the high estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one...

  19. Property:EstimatedCostMedianUSD | Open Energy Information

    Open Energy Info (EERE)

    Name EstimatedCostMedianUSD Property Type Quantity Description the median estimate of cost in USD Use this type to express a monetary value in US Dollars. The default unit is one...

  20. Microsoft PowerPoint - 15.1615_Cost Estimating Panel

    Energy Savers [EERE]

    Cost Estimate (ICE) - Same Basis as Project Cost Estimate (PCE) Sa e as s as ojec Cos s a e ( C ) - Reconcilable with PCE to Facilitate Validation * Independent Cost Review...

  1. Glass Property Models and Constraints for Estimating the Glass...

    Office of Scientific and Technical Information (OSTI)

    waste loading in HLW and LAW glasses are possible over current system planning estimates. ... be used to estimate the likely HLW and LAW glass volumes that would result if the ...

  2. Product Realization Environment

    Energy Science and Technology Software Center (OSTI)

    1997-06-12

    PRE provides a common framework for information flow and product information management based on Common Object Request Brokering Architecture (CORBA). More specific goals for PRE are using the technologies to improve business practices, to decrease product cycle time, and developing tools to rapidly access specialists (e.g. designers, engineers, scientists) expertise both as preserved knowledge and for real time collaboration. The PRE framework will utilize an object based approach (CORBA) to integrate product development with themore »enterprise by providing software integration for business, engineering, and manufacturing practices across organizational boundaries.« less

  3. Simplified subsea production wellhead

    SciTech Connect (OSTI)

    Lewis, H.R.

    1980-10-28

    A simplified subsea production wellhead which permits (1) pumpdown tool operations for routine well maintenance and (2) vertical entry to the wellbore for major workover operations. The wellhead can be lowered by the production pipeline to a wellhead site on the sea floor. The production wellhead includes a diverter spool for releasably attaching to a subsea well. Pumpdown tools can be used with the diverter spool. If vertical entry of the subsea well is required, the diverter spool can be released, raised and moved horizontally to one side of the subsea well, giving vertical entry. After workover operations, the diverter spool is again moved over the subsea well and reattached.

  4. DOE Zero Energy Ready Home Savings and Cost Estimate Summary

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy Zero Energy Ready Home Savings and Cost Estimate Summary, October 2015

  5. Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive

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

    Applications: Fuel Cell Tech Team Review | Department of Energy Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive Applications: Fuel Cell Tech Team Review Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive Applications: Fuel Cell Tech Team Review This presentation reports on direct hydrogen PEMFC manufacturing cost estimation for automotive applications. PDF icon Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive Applications: Fuel Cell Tech

  6. Modeling the Potential Effects of New Tobacco Products and Policies. A Dynamic Population Model for Multiple Product Use and Harm

    SciTech Connect (OSTI)

    Vugrin, Eric D.; Rostron, Brian L.; Verzi, Stephen J.; Brodsky, Nancy S.; Brown, Theresa J.; Choiniere, Conrad J.; Coleman, Blair N.; Paredes, Antonio; Apelberg, Benjamin J.

    2015-03-27

    Background Recent declines in US cigarette smoking prevalence have coincided with increases in use of other tobacco products. Multiple product tobacco models can help assess the population health impacts associated with use of a wide range of tobacco products. Methods and Findings We present a multi-state, dynamical systems population structure model that can be used to assess the effects of tobacco product use behaviors on population health. The model incorporates transition behaviors, such as initiation, cessation, switching, and dual use, related to the use of multiple products. The model tracks product use prevalence and mortality attributable to tobacco use for the overall population and by sex and age group. The model can also be used to estimate differences in these outcomes between scenarios by varying input parameter values. We demonstrate model capabilities by projecting future cigarette smoking prevalence and smoking-attributable mortality and then simulating the effects of introduction of a hypothetical new lower-risk tobacco product under a variety of assumptions about product use. Sensitivity analyses were conducted to examine the range of population impacts that could occur due to differences in input values for product use and risk. We demonstrate that potential benefits from cigarette smokers switching to the lower-risk product can be offset over time through increased initiation of this product. Model results show that population health benefits are particularly sensitive to product risks and initiation, switching, and dual use behaviors. Conclusion Our model incorporates the variety of tobacco use behaviors and risks that occur with multiple products. As such, it can evaluate the population health impacts associated with the introduction of new tobacco products or policies that may result in product switching or dual use. Further model development will include refinement of data inputs for non-cigarette tobacco products and inclusion of health outcomes such as morbidity and disability.

  7. Modeling the Potential Effects of New Tobacco Products and Policies. A Dynamic Population Model for Multiple Product Use and Harm

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

    Vugrin, Eric D.; Rostron, Brian L.; Verzi, Stephen J.; Brodsky, Nancy S.; Brown, Theresa J.; Choiniere, Conrad J.; Coleman, Blair N.; Paredes, Antonio; Apelberg, Benjamin J.

    2015-03-27

    Background Recent declines in US cigarette smoking prevalence have coincided with increases in use of other tobacco products. Multiple product tobacco models can help assess the population health impacts associated with use of a wide range of tobacco products. Methods and Findings We present a multi-state, dynamical systems population structure model that can be used to assess the effects of tobacco product use behaviors on population health. The model incorporates transition behaviors, such as initiation, cessation, switching, and dual use, related to the use of multiple products. The model tracks product use prevalence and mortality attributable to tobacco use formore » the overall population and by sex and age group. The model can also be used to estimate differences in these outcomes between scenarios by varying input parameter values. We demonstrate model capabilities by projecting future cigarette smoking prevalence and smoking-attributable mortality and then simulating the effects of introduction of a hypothetical new lower-risk tobacco product under a variety of assumptions about product use. Sensitivity analyses were conducted to examine the range of population impacts that could occur due to differences in input values for product use and risk. We demonstrate that potential benefits from cigarette smokers switching to the lower-risk product can be offset over time through increased initiation of this product. Model results show that population health benefits are particularly sensitive to product risks and initiation, switching, and dual use behaviors. Conclusion Our model incorporates the variety of tobacco use behaviors and risks that occur with multiple products. As such, it can evaluate the population health impacts associated with the introduction of new tobacco products or policies that may result in product switching or dual use. Further model development will include refinement of data inputs for non-cigarette tobacco products and inclusion of health outcomes such as morbidity and disability.« less

  8. Modeling the Potential Effects of New Tobacco Products and Policies: A Dynamic Population Model for Multiple Product Use and Harm

    SciTech Connect (OSTI)

    Vugrin, Eric D.; Rostron, Brian L.; Verzi, Stephen J.; Brodsky, Nancy S.; Brown, Theresa J.; Choiniere, Conrad J.; Coleman, Blair N.; Paredes, Antonio; Apelberg, Benjamin J.

    2015-03-27

    Background Recent declines in US cigarette smoking prevalence have coincided with increases in use of other tobacco products. Multiple product tobacco models can help assess the population health impacts associated with use of a wide range of tobacco products. Methods and Findings We present a multi-state, dynamical systems population structure model that can be used to assess the effects of tobacco product use behaviors on population health. The model incorporates transition behaviors, such as initiation, cessation, switching, and dual use, related to the use of multiple products. The model tracks product use prevalence and mortality attributable to tobacco use for the overall population and by sex and age group. The model can also be used to estimate differences in these outcomes between scenarios by varying input parameter values. We demonstrate model capabilities by projecting future cigarette smoking prevalence and smoking-attributable mortality and then simulating the effects of introduction of a hypothetical new lower-risk tobacco product under a variety of assumptions about product use. Sensitivity analyses were conducted to examine the range of population impacts that could occur due to differences in input values for product use and risk. We demonstrate that potential benefits from cigarette smokers switching to the lower-risk product can be offset over time through increased initiation of this product. Model results show that population health benefits are particularly sensitive to product risks and initiation, switching, and dual use behaviors. Conclusion Our model incorporates the variety of tobacco use behaviors and risks that occur with multiple products. As such, it can evaluate the population health impacts associated with the introduction of new tobacco products or policies that may result in product switching or dual use. Further model development will include refinement of data inputs for non-cigarette tobacco products and inclusion of health outcomes such as morbidity and disability.

  9. Biological Hydrogen Production Workshop

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL) held a Biological Hydrogen Production Workshop on September 24–25, 2013, in Golden, Colorado. The workshop...

  10. Forest products technologies

    SciTech Connect (OSTI)

    None, None

    2006-07-18

    Report highlights DOE Industrial Technology Program co-funded R&D resulting in commercial energy-efficient technologies and emerging technologies helping the forest products industry save energy.

  11. Offshore Development and Production

    Reports and Publications (EIA)

    1999-01-01

    Natural gas production in the federal offshore has increased substantially in recent years, gaining more than 400 billion cubic feet between 1993 and 1997 to a level of 5.14 trillion cubic feet.

  12. Biomass Energy Production Incentive

    Broader source: Energy.gov [DOE]

    In 2007 South Carolina enacted the Energy Freedom and Rural Development Act, which provides production incentives for certain biomass-energy facilities. Eligible systems earn $0.01 per kilowatt-h...

  13. Product Pipeline Reports Tutorial

    Gasoline and Diesel Fuel Update (EIA)

    Petroleum > Petroleum Survey Forms> Petroleum Survey Forms Tutorial Product Pipeline Reports Tutorial Content on this page requires a newer version of Adobe Flash Player. Get Adobe Flash player

  14. Mississippi (with State off) Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    off) Shale Production (Billion Cubic Feet) Mississippi (with State off) 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 2010's 2 5 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas Estimated Production Mississippi Shale Gas Proved Reserves, Reserves Changes, and

  15. New Mexico--East Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) New Mexico--East Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 25 26 23 23 26 2010's 27 27 28 26 24 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Coalbed Methane Estimated Production NM, East Coalbed Methane Proved Reserves,

  16. New Mexico--West Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) New Mexico--West Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 489 484 371 420 406 2010's 375 347 327 330 349 - = 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 Estimated Production NM, West Coalbed Methane Proved

  17. Louisiana (with State Offshore) Coalbed Methane Production (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Production (Billion Cubic Feet) Louisiana (with State Offshore) Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 1 1 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 Estimated Production Louisiana Coalbed Methane Proved

  18. Louisiana (with State Offshore) Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Shale Production (Billion Cubic Feet) Louisiana (with State Offshore) Shale Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 1 23 293 2010's 1,232 2,084 2,204 1,510 1,191 - = 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 Louisiana Shale Gas Proved

  19. Louisiana--North Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Louisiana--North Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 1 1 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 Estimated Production North Louisiana Coalbed Methane Proved Reserves, Reserves

  20. Louisiana--North Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Shale Production (Billion Cubic Feet) Louisiana--North 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 1 23 293 2010's 1,232 2,084 2,204 1,509 1,169 - = 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 Louisiana Shale Gas Proved Reserves,

  1. Louisiana--South Onshore Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 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 Estimated Production LA, South Onshore Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane

  2. Louisiana--South Onshore Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Shale Production (Billion Cubic Feet) Louisiana--South Onshore 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 2010's 0 0 1 22 - = 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 LA, South Onshore Shale Gas Proved Reserves, Reserves Changes, and

  3. Louisiana--State Offshore Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 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 Estimated Production LA, State Offshore Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane

  4. Lower 48 Federal Offshore Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 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 Estimated Production Federal Offshore U.S. Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane

  5. Lower 48 States Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Lower 48 States Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 1,732 1,758 1,753 1,966 1,914 2010's 1,886 1,763 1,655 1,466 1,404 - = 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 Estimated Production Lower 48 States

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

    Gasoline and Diesel Fuel Update (EIA)

    Alabama (with State Offshore) Shale Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas Estimated Production Alabama Shale Gas Proved Reserves, Reserves Changes, and Production Shale Gas

  7. Alaska (with Total Offshore) Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 0 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: Shale Natural Gas Estimated Production Alaska Shale Gas Proved Reserves, Reserves Changes, and Production Shale Gas

  8. California (with State off) Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    off) Shale Production (Billion Cubic Feet) California (with State off) 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 2010's 101 90 89 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas Estimated Production California Shale Gas Proved Reserves, Reserves Changes, and

  9. Texas (with State Offshore) Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Texas (with State Offshore) Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 0 2010's 0 0 11 8 9 - = 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 Estimated Production Texas Coalbed Methane Proved Reserves, Reserves

  10. Texas (with State Offshore) Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Texas (with State Offshore) Shale Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 988 1,503 1,789 2010's 2,218 2,900 3,649 3,876 4,156 - = 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 Texas Shale Gas Proved

  11. Texas--RRC District 1 Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Shale Production (Billion Cubic Feet) Texas--RRC District 1 Shale Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 11 2010's 41 156 362 630 822 - = 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 TX, RRC District 1 Shale Gas Proved Reserves,

  12. Texas--RRC District 10 Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Shale Production (Billion Cubic Feet) Texas--RRC District 10 Shale Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 0 0 5 5 8 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas Estimated Production TX, RRC District 10 Shale Gas Proved Reserves, Reserves

  13. Texas--RRC District 5 Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Shale Production (Billion Cubic Feet) Texas--RRC District 5 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 437 769 954 2010's 1,053 1,266 1,256 1,128 1,022 - = 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 TX, RRC District 5 Shale Gas

  14. Texas--RRC District 6 Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Shale Production (Billion Cubic Feet) Texas--RRC District 6 Shale Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 3 28 2010's 219 382 486 409 270 - = 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 TX, RRC District 6 Shale Gas Proved Reserves,

  15. Texas--RRC District 8 Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Shale Production (Billion Cubic Feet) Texas--RRC District 8 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 1 4 3 2010's 7 5 22 62 78 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Shale Natural Gas Estimated Production TX, RRC District 8 Shale Gas Proved Reserves, Reserves

  16. Texas--RRC District 9 Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Shale Production (Billion Cubic Feet) Texas--RRC District 9 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 460 586 643 2010's 725 612 626 619 639 - = 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 TX, RRC District 9 Shale Gas Proved

  17. Texas--State Offshore Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 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 Estimated Production TX, State Offshore Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane

  18. U.S. Shale Production (Billion Cubic Feet)

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

    Production (Billion Cubic Feet) U.S. 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 1,293 2,116 3,110 2010's 5,336 7,994 10,371 11,415 13,447 - = 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 U.S. Shale Gas Proved Reserves, Reserves

  19. Utah Natural Gas Liquids Lease Condensate, Reserves Based Production

    Gasoline and Diesel Fuel Update (EIA)

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

  20. West Virginia Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Production (Billion Cubic Feet) West Virginia Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 30 18 25 28 31 2010's 17 18 9 8 11 - = 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 Estimated Production West Virginia Coalbed Methane Proved Reserves,

  1. ARM - Evaluation Product - Critical soil quantities for describing land

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

    properties ProductsCritical soil quantities for describing land properties ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Critical soil quantities for describing land properties The ARMBELAND is a subset of the ARM Best Estimate (ARMBE) products for supporting community land-atmospheric research and

  2. Ethanol production from lignocellulose

    DOE Patents [OSTI]

    Ingram, Lonnie O. (Gainesville, FL); Wood, Brent E. (Gainesville, FL)

    2001-01-01

    This invention presents a method of improving enzymatic degradation of lignocellulose, as in the production of ethanol from lignocellulosic material, through the use of ultrasonic treatment. The invention shows that ultrasonic treatment reduces cellulase requirements by 1/3 to 1/2. With the cost of enzymes being a major problem in the cost-effective production of ethanol from lignocellulosic material, this invention presents a significant improvement over presently available methods.

  3. Pretreated densified biomass products

    DOE Patents [OSTI]

    Dale, Bruce E; Ritchie, Bryan; Marshall, Derek

    2014-03-18

    A product comprising at least one densified biomass particulate of a given mass having no added binder and comprised of a plurality of lignin-coated plant biomass fibers is provided, wherein the at least one densified biomass particulate has an intrinsic density substantially equivalent to a binder-containing densified biomass particulate of the same given mass and h a substantially smooth, non-flakey outer surface. Methods for using and making the product are also described.

  4. MTBE Production Economics

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

    MTBE Production Economics Tancred C. M. Lidderdale Contents 1. Summary 2. MTBE Production Costs 3. Relationship between price of MTBE and Reformulated Gasoline 4. Influence of Natural Gas Prices on the Gasoline Market 5. Regression Results 6. Data Sources 7. End Notes 1. Summary Last year the price of MTBE (methyl tertiary butyl ether) increased dramatically on two occasions (Figure 1) (see Data Sources at end of article.): 1. Between April and June 2000, the price (U.S. Gulf Coast waterborne

  5. LENNOX HEARTH PRODUCTS

    Office of Environmental Management (EM)

    LENNOX HEARTH PRODUCTS April 1, 2011 Mr. Daniel Cohen U.S. Department of Energy Assistant General Council for Legislation, Regulation and Energy Efficiency Office of the General Counsel 1000 Independence Avenue, SW Washington, DC 20585 RE: Regulatory Burden RFI Dear Mr. Cohen: Lennox Hearth Products (LHP) is hereby responding to the Department of Energy's (DOE's) request for information - published at 76 Fed. Reg. 6123 (February 3, 2011) - seeking comment and information to assist the DOE in

  6. Coal production, 1991

    SciTech Connect (OSTI)

    Not Available

    1992-10-01

    Coal production in the United States in 1991 declined to a total of 996 million short tons, ending the 6-year upward trend in coal production that began in 1985. The 1991 figure is 33 million short tons below the record level of 1.029 billion short tons produced in 1990 (Table 1). Tables 2 through 33 in this report include data from mining operations that produced, prepared, and processed 10,000 or more short tons during the year. These mines yielded 993 million short tons, or 99.7 percent of the total coal production in 1991, and their summary statistics are discussed below. The majority of US coal (587 million short tons) was produced by surface mining (Table 2). Over half of all US surface mine production occurred in the Western Region, though the 60 surface mines in this area accounted for only 5 percent of the total US surface mines. The high share of production was due to the very large surface mines in Wyoming, Texas and Montana. Nearly three quarters of underground production was in the Appalachian Region, which accounted for 92 percent of underground mines. Continuous mining methods produced the most coal among those underground operations that responded. Of the 406 million short tons, 59 percent (239 million short tons) was produced by continuous mining methods, followed by longwall (29 percent, or 119 million short tons), and conventional methods (11 percent, or 46 million short tons).

  7. Mo99 Production Plant Layout

    SciTech Connect (OSTI)

    Woloshun, Keith Albert; Dale, Gregory E.; Naranjo, Angela Carol

    2015-06-25

    The NorthStar Medical Technologies 99Mo production facility configuration is envisioned to be 8 accelerator pairs irradiating 7 100Mo targets (one spare accelerator pair undergoing maintenance while the other 7 pairs are irradiating targets). The required shielding in every direction for the accelerators is initially estimated to be 10 feet of concrete. With the accelerator pairs on one (ground) level and spaced with the required shielding between adjacent pairs, the only practical path for target insertion and removal while minimizing floor space is vertical. The current scheme then requires a target vertical lift of nominally 10 feet through a shield stack. It is envisioned that the lift will be directly into a hot cell where an activated target can be removed from its holder and a new target attached and lowered. The hot cell is on a rail system so that a single hot cell can service all active target locations, as well as deliver the ready targets to the separations lab. On this rail system, coupled to the hot cell, will be a helium recovery and clean-up system. All helium coolant equipment is located on the upper level near to the target removal point.

  8. Residential Lighting End-Use Consumption Study: Estimation Framework and Initial Estimates

    SciTech Connect (OSTI)

    Gifford, Will R.; Goldberg, Miriam L.; Tanimoto, Paulo M.; Celnicker, Dane R.; Poplawski, Michael E.

    2012-12-01

    The U.S. DOE Residential Lighting End-Use Consumption Study is an initiative of the U.S. Department of Energys (DOEs) Solid-State Lighting Program that aims to improve the understanding of lighting energy usage in residential dwellings. The study has developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications (e.g., by dwelling type AND lamp type or fixture type AND control type).

  9. Calendar Year 2008 Program Benefits for ENERGY STAR Labeled Products

    SciTech Connect (OSTI)

    Homan, GregoryK; Sanchez, Marla; Brown, RichardE; Lai, Judy

    2010-08-24

    This paper presents current and projected savings for ENERGY STAR labeled products, and details the status of the model as implemented in the September 2009 spreadsheets. ENERGY STAR is a voluntary energy efficiency labeling program operated jointly by the Environmental Protection Agency (US EPA) and the U.S. Department of Energy (US DOE), designed to identify and promote energy-efficient products, buildings and practices. Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products, and currently labels more than thirty products, spanning office equipment, heating, cooling and ventilation equipment, commercial and residential lighting, home electronics, and major appliances. ENERGY STAR's central role in the development of regional, national and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with stakeholders. This report presents savings estimates for ENERGY STAR labeled products. We present estimates of energy, dollar, and carbon savings achieved by the program in the year 2008, annual forecasts for 2009 and 2010, and cumulative savings estimates for the period 1993 through 2008 and cumulative forecasts for the period 2009 through 2015. Through 2008 the program saved 8.8 Quads of primary energy and avoided the equivalent of 158 metric tones carbon (MtC). The forecast for the period 2009-2015 is 18.1 Quads or primary energy saved and 316 MtC emissions avoided. The sensitivity analysis bounds the best estimate of carbon avoided between 104 MtC and 213 MtC (1993 to 2008) and between 206 MtC and 444 MtC (2009 to 2015). In this report we address the following questions for ENERGY STAR labeled products: (1) How are ENERGY STAR impacts quantified; (2) What are the ENERGY STAR achievements; and (3) What are the limitations to our method?

  10. Technology's Impact on Production

    SciTech Connect (OSTI)

    Rachel Amann; Ellis Deweese; Deborah Shipman

    2009-06-30

    As part of a cooperative agreement with the United States Department of Energy (DOE) - entitled Technology's Impact on Production: Developing Environmental Solutions at the State and National Level - the Interstate Oil and Gas Compact Commission (IOGCC) has been tasked with assisting state governments in the effective, efficient, and environmentally sound regulation of the exploration and production of natural gas and crude oil, specifically in relation to orphaned and abandoned wells and wells nearing the end of productive life. Project goals include: (1) Developing (a) a model framework for prioritization and ranking of orphaned or abandoned well sites; (b) a model framework for disbursement of Energy Policy Act of 2005 funding; and (c) a research study regarding the current status of orphaned wells in the nation. (2) Researching the impact of new technologies on environmental protection from a regulatory perspective. Research will identify and document (a) state reactions to changing technology and knowledge; (b) how those reactions support state environmental conservation and public health; and (c) the impact of those reactions on oil and natural gas production. (3) Assessing emergent technology issues associated with wells nearing the end of productive life. Including: (a) location of orphaned and abandoned well sites; (b) well site remediation; (c) plugging materials; (d) plug placement; (e) the current regulatory environment; and (f) the identification of emergent technologies affecting end of life wells. New Energy Technologies - Regulating Change, is the result of research performed for Tasks 2 and 3.

  11. Estimated Carbon Dioxide Emissions in 2008: United States

    SciTech Connect (OSTI)

    Smith, C A; Simon, A J; Belles, R D

    2011-04-01

    Flow charts depicting carbon dioxide emissions in the United States have been constructed from publicly available data and estimates of state-level energy use patterns. Approximately 5,800 million metric tons of carbon dioxide were emitted throughout the United States for use in power production, residential, commercial, industrial, and transportation applications in 2008. Carbon dioxide is emitted from the use of three major energy resources: natural gas, coal, and petroleum. The flow patterns are represented in a compact 'visual atlas' of 52 state-level (all 50 states, the District of Columbia, and one national) carbon dioxide flow charts representing a comprehensive systems view of national CO{sub 2} emissions. Lawrence Livermore National Lab (LLNL) has published flow charts (also referred to as 'Sankey Diagrams') of important national commodities since the early 1970s. The most widely recognized of these charts is the U.S. energy flow chart (http://flowcharts.llnl.gov). LLNL has also published charts depicting carbon (or carbon dioxide potential) flow and water flow at the national level as well as energy, carbon, and water flows at the international, state, municipal, and organizational (i.e. United States Air Force) level. Flow charts are valuable as single-page references that contain quantitative data about resource, commodity, and byproduct flows in a graphical form that also convey structural information about the system that manages those flows. Data on carbon dioxide emissions from the energy sector are reported on a national level. Because carbon dioxide emissions are not reported for individual states, the carbon dioxide emissions are estimated using published energy use information. Data on energy use is compiled by the U.S. Department of Energy's Energy Information Administration (U.S. EIA) in the State Energy Data System (SEDS). SEDS is updated annually and reports data from 2 years prior to the year of the update. SEDS contains data on primary resource consumption, electricity generation, and energy consumption within each economic sector. Flow charts of state-level energy usage and explanations of the calculations and assumptions utilized can be found at: http://flowcharts.llnl.gov. This information is translated into carbon dioxide emissions using ratios of carbon dioxide emissions to energy use calculated from national carbon dioxide emissions and national energy use quantities for each particular sector. These statistics are reported annually in the U.S. EIA's Annual Energy Review. Data for 2008 (US. EIA, 2010) was updated in August of 2010. This is the first presentation of a comprehensive state-level package of flow charts depicting carbon dioxide emissions for the United States.

  12. ARM - Evaluation Product - MICROBASE Ensemble Data Products (MICROBASEEN)

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

    for Cloud Retrievals ProductsMICROBASE Ensemble Data Products (MICROBASEEN) for Cloud Retrievals ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : MICROBASE Ensemble Data Products (MICROBASEEN) for Cloud Retrievals [ ARM research - evaluation data product ] MICROBASE Ensemble Data Products (MICROBASEEN)

  13. "Period","Annual Production Capacity",,"Monthly B100 Production...

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

    Biodiesel production capacity and production" "million gallons" "Period","Annual ... is the industry designation for pure biodiesel; a biodiesel blend contains both pure ...

  14. Domestic Uranium Production Report

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

    9. Summary production statistics of the U.S. uranium industry, 1993-2014 Year Exploration and development surface drilling (million feet) Exploration and development drilling expenditures 1 (million dollars) Mine production of uranium (million pounds U3O8) Uranium concentrate production (million pounds U3O8) Uranium concentrate shipments (million pounds U3O8) Employment (person-years) 1993 1.1 5.7 2.1 3.1 3.4 871 1994 0.7 1.1 2.5 3.4 6.3 980 1995 1.3 2.6 3.5 6.0 5.5 1,107 1996 3.0 7.2 4.7 6.3

  15. PRODUCTION OF PURIFIED URANIUM

    DOE Patents [OSTI]

    Burris, L. Jr.; Knighton, J.B.; Feder, H.M.

    1960-01-26

    A pyrometallurgical method for processing nuclear reactor fuel elements containing uranium and fission products and for reducing uranium compound; to metallic uranium is reported. If the material proccssed is essentially metallic uranium, it is dissolved in zinc, the sulution is cooled to crystallize UZn/sub 9/ , and the UZn/sub 9/ is distilled to obtain uranium free of fission products. If the material processed is a uranium compound, the sollvent is an alloy of zinc and magnesium and the remaining steps are the same.

  16. Fuel Ethanol Oxygenate Production

    Gasoline and Diesel Fuel Update (EIA)

    Product: Fuel Ethanol Methyl Tertiary Butyl Ether Merchant Plants Captive Plants Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product Area Jul-15 Aug-15 Sep-15 Oct-15 Nov-15 Dec-15 View History U.S. 30,256 29,621 28,543 30,139 29,594 31,075 1981-2015 East Coast (PADD 1) 876 854 692 664 664

  17. IDC RP2 & 3 US Industry Standard Cost Estimate Summary.

    SciTech Connect (OSTI)

    Harris, James M.; Huelskamp, Robert M.

    2015-01-01

    Sandia National Laboratories has prepared a ROM cost estimate for budgetary planning for the IDC Reengineering Phase 2 & 3 effort, using a commercial software cost estimation tool calibrated to US industry performance parameters. This is not a cost estimate for Sandia to perform the project. This report provides the ROM cost estimate and describes the methodology, assumptions, and cost model details used to create the ROM cost estimate. ROM Cost Estimate Disclaimer Contained herein is a Rough Order of Magnitude (ROM) cost estimate that has been provided to enable initial planning for this proposed project. This ROM cost estimate is submitted to facilitate informal discussions in relation to this project and is NOT intended to commit Sandia National Laboratories (Sandia) or its resources. Furthermore, as a Federally Funded Research and Development Center (FFRDC), Sandia must be compliant with the Anti-Deficiency Act and operate on a full-cost recovery basis. Therefore, while Sandia, in conjunction with the Sponsor, will use best judgment to execute work and to address the highest risks and most important issues in order to effectively manage within cost constraints, this ROM estimate and any subsequent approved cost estimates are on a 'full-cost recovery' basis. Thus, work can neither commence nor continue unless adequate funding has been accepted and certified by DOE.

  18. Mississippi State Biodiesel Production Project

    SciTech Connect (OSTI)

    Rafael Hernandez; Todd French; Sandun Fernando; Tingyu Li; Dwane Braasch; Juan Silva; Brian Baldwin

    2008-03-20

    Biodiesel is a renewable fuel conventionally generated from vegetable oils and animal fats that conforms to ASTM D6751. Depending on the free fatty acid content of the feedstock, biodiesel is produced via transesterification, esterification, or a combination of these processes. Currently the cost of the feedstock accounts for more than 80% of biodiesel production cost. The main goal of this project was to evaluate and develop non-conventional feedstocks and novel processes for producing biodiesel. One of the most novel and promising feedstocks evaluated involves the use of readily available microorganisms as a lipid source. Municipal wastewater treatment facilities (MWWTF) in the USA produce (dry basis) of microbial sludge annually. This sludge is composed of a variety of organisms, which consume organic matter in wastewater. The content of phospholipids in these cells have been estimated at 24% to 25% of dry mass. Since phospholipids can be transesterified they could serve as a ready source of biodiesel. Examination of the various transesterification methods shows that in situ conversion of lipids to FAMEs provides the highest overall yield of biodiesel. If one assumes a 7.0% overall yield of FAMEs from dry sewage sludge on a weight basis, the cost per gallon of extracted lipid would be $3.11. Since the lipid is converted to FAMEs, also known as biodiesel, in the in Situ extraction process, the product can be used as is for renewable fuel. As transesterification efficiency increases the cost per gallon drops quickly, hitting $2.01 at 15.0% overall yield. An overall yield of 10.0% is required to obtain biodiesel at $2.50 per gallon, allowing it to compete with soybean oil in the marketplace. Twelve plant species with potential for oil production were tested at Mississippi State, MS. Of the species tested, canola, rapeseed and birdseed rape appear to have potential in Mississippi as winter annual crops because of yield. Two perennial crops were investigated, Chinese tallow tree and tung tree. High seed yields from these species are possible because, there stature allows for a third dimension in yield (up). Harvest regimes have already been worked out with tung, and the large seed makes shedding of the seed with tree shakers possible. While tallow tree seed yields can be mind boggling (12,000 kg seed/ha at 40% oil), genotypes that shed seed easily are currently not known. Efficient methods were developed to isolate polyunsaturated fatty acid methyl esters from bio-diesel. The hypothesis to isolate this class of fatty acids, which are used as popular dietary supplements and prescription medicine (OMACOR), was that they bind transition metal ions much stronger than their harmful saturated analogs. AgBF4 has the highest extraction ability among all the metal ions tested. Glycerol is a key product from the production of biodiesel. It is produced during the transesterification process by cleaving the fatty acids from the glycerol backbone (the fatty acids are used as part of the biodiesel, which is a fatty acid methyl ester). Glycerol is a non-toxic compound with many uses; however, if a surplus exists in the future, more uses for the produced glycerol needs to be found. Another phase of the project was to find an add-on process to the biodiesel production process that will convert the glycerol by-product into more valuable substances for end uses other than food or cosmetics, focusing at present on 1,3-propanediol and lactic acid.All three MSU cultures produced products at concentrations below that of the benchmark microorganisms. There was one notable isolate the caught the eye of the investigators and that was culture J6 due to the ability of this microorganism to co-produce both products and one in particularly high concentrations. This culture with more understanding of its metabolic pathways could prove a useful biological agent for the conversion of glycerol. Heterogeneous catalysis was examined as an alternative to overcome the disadvantages of homogeneous transesterification, such as the presence of salts in the glycerine phase and the continuous lost of catalyst. A maximum soy biodiesel yield of 85% was obtained by BaO in 14 minutes, whereas, PbO, MnO2, CaO and MgO gave a maximum yields of 84%, 80%, 78% and 66% respectively at 215C. The overall reaction order of PbO, MnO2, BaO, CaO and MgO was found to be 1, 1, 3, 1 and 1 respectively. The highest rate constant was observed for BaO, which was 0.0085 g2.mole-2.min-1. The performance of biodiesel in terms of type (e.g., NOx, and CO) and quantity of emissions was tested using soy biodiesel, blends of biodiesel and ethanol, and differently aged diesel engines. It was determined that saturated methyl esters, and relatively high oxygen content in the fuel, caused by addition of ethanol, increased the NOx emissions from new diesel engines compared to petroleum diesel.

  19. Parameter estimation with Sandage-Loeb test

    SciTech Connect (OSTI)

    Geng, Jia-Jia; Zhang, Jing-Fei; Zhang, Xin E-mail: jfzhang@mail.neu.edu.cn

    2014-12-01

    The Sandage-Loeb (SL) test directly measures the expansion rate of the universe in the redshift range of 2 ∼< z ∼< 5 by detecting redshift drift in the spectra of Lyman-α forest of distant quasars. We discuss the impact of the future SL test data on parameter estimation for the ΛCDM, the wCDM, and the w{sub 0}w{sub a}CDM models. To avoid the potential inconsistency with other observational data, we take the best-fitting dark energy model constrained by the current observations as the fiducial model to produce 30 mock SL test data. The SL test data provide an important supplement to the other dark energy probes, since they are extremely helpful in breaking the existing parameter degeneracies. We show that the strong degeneracy between Ω{sub m} and H{sub 0} in all the three dark energy models is well broken by the SL test. Compared to the current combined data of type Ia supernovae, baryon acoustic oscillation, cosmic microwave background, and Hubble constant, the 30-yr observation of SL test could improve the constraints on Ω{sub m} and H{sub 0} by more than 60% for all the three models. But the SL test can only moderately improve the constraint on the equation of state of dark energy. We show that a 30-yr observation of SL test could help improve the constraint on constant w by about 25%, and improve the constraints on w{sub 0} and w{sub a} by about 20% and 15%, respectively. We also quantify the constraining power of the SL test in the future high-precision joint geometric constraints on dark energy. The mock future supernova and baryon acoustic oscillation data are simulated based on the space-based project JDEM. We find that the 30-yr observation of SL test would help improve the measurement precision of Ω{sub m}, H{sub 0}, and w{sub a} by more than 70%, 20%, and 60%, respectively, for the w{sub 0}w{sub a}CDM model.

  20. Accelerate Energy Productivity 2030 Launch

    Broader source: Energy.gov [DOE]

    Today, the Department of Energy kicked off Accelerate Energy Productivity 2030. This initiative supports President Obama’s goal to double our energy productivity by 2030.

  1. Reporting LED Luminaire Product Performance

    SciTech Connect (OSTI)

    2008-12-01

    This brochure on LED product performance is an outcome of a joint DOE-NGLIA effort to assure and improve the quality of SSL products.

  2. Going Global: Tight Oil Production

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

    oil and unconventional techniques Global tight oil production has significant energy security implications 2 GOING GLOBAL: TIGHT OIL PRODUCTION Top Ten Countries with Largest ...

  3. Covered Product Categories (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-08-01

    Overview of the U.S. Department of Energy Federal Energy Management Program Energy-Efficient Product Procurement Program and its designated product category list.

  4. Coal Combustion Products

    Broader source: Energy.gov [DOE]

    Coal combustion products (CCPs) are solid materials produced when coal is burned to generate electricity. Since coal provides the largest segment of U.S. electricity generation (45 percent in 2010), finding a sustainable solution for CCPs is an important environmental challenge.

  5. Matrix Methods for Estimating the Coherence Functions from Estimates of the Cross-Spectral Density Matrix

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

    Smallwood, D. O.

    1996-01-01

    It is shown that the usual method for estimating the coherence functions (ordinary, partial, and multiple) for a general multiple-input! multiple-output problem can be expressed as a modified form of Cholesky decomposition of the cross-spectral density matrix of the input and output records. The results can be equivalently obtained using singular value decomposition (SVD) of the cross-spectral density matrix. Using SVD suggests a new form of fractional coherence. The formulation as a SVD problem also suggests a way to order the inputs when a natural physical order of the inputs is absent.

  6. Battery Calendar Life Estimator Manual Modeling and Simulation

    SciTech Connect (OSTI)

    Jon P. Christophersen; Ira Bloom; Ed Thomas; Vince Battaglia

    2012-10-01

    The Battery Life Estimator (BLE) Manual has been prepared to assist developers in their efforts to estimate the calendar life of advanced batteries for automotive applications. Testing requirements and procedures are defined by the various manuals previously published under the United States Advanced Battery Consortium (USABC). The purpose of this manual is to describe and standardize a method for estimating calendar life based on statistical models and degradation data acquired from typical USABC battery testing.

  7. Estimating emissions of 20 VOCs. 2: Diffused aeration (Journal Article) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Estimating emissions of 20 VOCs. 2: Diffused aeration Citation Details In-Document Search Title: Estimating emissions of 20 VOCs. 2: Diffused aeration A relationship developed in a companion paper to estimate emissions from surface-aerated reactors that accounts for both gas- and liquid-phase mass-transfer resistances is extended to reactors with diffused-aeration systems. The method accurately predicts the observed stripping rate of 20 volatile organic compounds (VOCs) with

  8. The Efficacy of Galaxy Shape Parameters in Photometric Redshift Estimation:

    Office of Scientific and Technical Information (OSTI)

    A Neural Network Approach (Journal Article) | SciTech Connect SciTech Connect Search Results Journal Article: The Efficacy of Galaxy Shape Parameters in Photometric Redshift Estimation: A Neural Network Approach Citation Details In-Document Search Title: The Efficacy of Galaxy Shape Parameters in Photometric Redshift Estimation: A Neural Network Approach We present a determination of the effects of including galaxy morphological parameters in photometric redshift estimation with an

  9. Using Photogrammetry to Estimate Tank Waste Volumes from Video

    SciTech Connect (OSTI)

    Field, Jim G.

    2013-03-27

    Washington River Protection Solutions (WRPS) contracted with HiLine Engineering & Fabrication, Inc. to assess the accuracy of photogrammetry tools as compared to video Camera/CAD Modeling System (CCMS) estimates. This test report documents the results of using photogrammetry to estimate the volume of waste in tank 241-C-I04 from post-retrieval videos and results using photogrammetry to estimate the volume of waste piles in the CCMS test video.

  10. Methodology for EIA Weekly Underground Natural Gas Storage Estimates

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

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

  11. Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic

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

    Downscaling with Doppler Lidar Wind Measurements | Department of Energy Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements Previous estimates of the wind resources in Uttarakhand, India, suggest minimal wind resources in this region. To explore whether or not the complex terrain in fact provides localized regions

  12. Guidelines for Estimating Unmetered Industrial Water Use | Department of

    Office of Environmental Management (EM)

    Energy Industrial Water Use Guidelines for Estimating Unmetered Industrial Water Use Document describes a systematic approach to estimate industrial water use in evaporative cooling systems, steam boiler systems, and facility wash applications. It assists Federal agencies in the baseline development by providing a methodology to calculate unmetered sources of industrial water use utilizing engineering estimates. PDF icon est_unmetered_industrial_wtr.pdf More Documents & Publications

  13. Product Guide Product Guide Volumes Category Prices Table Crude...

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

    suppliers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . -- 49 Product Guide Volumes Category Prices Table Energy Information Administration Petroleum...

  14. Product Guide Product Guide Volumes Category Prices Table Crude...

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

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . -- 49 Product Guide Volumes Category Prices Table Energy Information Administration Petroleum Marketing...

  15. Estimating the Benefits and Costs of Distributed Energy Technologies...

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

    Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and Summary Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and...

  16. Estimating the Benefits and Costs of Distributed Energy Technologies...

    Energy Savers [EERE]

    1 Presentations Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 1 Presentations On September 30 and October 1, 2014, the Department of Energy...

  17. Estimating the Benefits and Costs of Distributed Energy Technologies...

    Office of Environmental Management (EM)

    2 Presentations Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 2 Presentations On September 30 and October 1, 2014, the Department of Energy...

  18. Autocorrelation Function Statistics and Implication to Decay Ratio Estimation

    SciTech Connect (OSTI)

    March-Leuba, Jose A.

    2016-01-01

    This document summarizes the results of a series of computer simulations to attempt to identify the statistics of the autocorrelation function, and implications for decay ratio estimation.

  19. Estimation of Gas Leak Rates Through Very Small Orifices

    Office of Scientific and Technical Information (OSTI)

    Estimation of Gas Leak Rates Through Very Small Orifices and Channels by Herbert J. Bomelburg February 1977 Prepared for the Nuclear Regulatory Commission -..- Pacific Northwest...

  20. On parameterization of the inverse problem for estimating aquifer...

    Office of Scientific and Technical Information (OSTI)

    Title: On parameterization of the inverse problem for estimating aquifer properties using tracer data Authors: Kowalsky, M. B. ; Finsterle, S. ; Commer, M. ; Williams, K. H. ; ...

  1. Report Now Available: DC Microgrids Scoping Study--Estimate of...

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

    of Technical and Economic Benefits (March 2015) Report Now Available: DC Microgrids Scoping Study--Estimate of Technical and Economic Benefits (March 2015) March 31, ...

  2. Estimating Renewable Energy Economic Potential in the United...

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

    Estimating Renewable Energy Economic Potential in the United States: Methodology and ... 2. Capacity additions and growth II. Economic Potential 1. Summary of initial results ...

  3. Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping...

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

    Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping Analysis. January 22, 2002-July 22, 2002 A report showing a comparative scooping economic analysis of 19 pathways for ...

  4. Issues and Methods for Estimating the Percentage Share of Ethanol...

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

    Energy Information Administration 1 Issues and Methods for Estimating the Share of Ethanol in the Motor Gasoline Supply U.S. Energy Information Administration October 6, 2011...

  5. Estimating Costs and Efficiency of Storage, Demand, and Heat...

    Energy Savers [EERE]

    Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters Estimating Costs and Efficiency of Storage, Demand, and Heat Pump Water Heaters A water heater's energy ...

  6. Estimating the Opportunity Cost of REDD+: A Training Manual ...

    Open Energy Info (EERE)

    the Opportunity Cost of REDD+: A Training Manual Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Estimating the Opportunity Cost of REDD+: A Training Manual Agency...

  7. Cost Estimating Guide - DOE Directives, Delegations, and Requirements

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

    1, Cost Estimating Guide by Ruben Sanchez Functional areas: Budget and Financial Management, Financial Management This Guide provides uniform guidance and best practices that...

  8. Output-Based Error Estimation and Adaptation for Uncertainty...

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

    Output-Based Error Estimation and Adaptation for Uncertainty Quantification Isaac M. Asher and Krzysztof J. Fidkowski University of Michigan US National Congress on Computational...

  9. Battery Life Estimation (BLE) and Data Analysis - Energy Innovation...

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

    Energy Storage Energy Analysis Energy Analysis Find More Like This Return to Search Battery Life Estimation (BLE) and Data Analysis Argonne National Laboratory Contact ANL About...

  10. Estimating the Value of Electricity Storage Resources in Electricity...

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

    research and development for electricity storage technologies and applications. PDF icon EAC - Estimating the Value of Electricity Storage Resources in Electricity Markets Oct ...

  11. Quality Guidline for Cost Estimation Methodology for NETL Assessments...

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

    and Benefits 2 Power Plant Cost Estimation Methodology Quality Guidelines for Energy System Studies April 2011 Disclaimer This report was prepared as an account of work...

  12. Analytical Estimations for Thermal Crosstalk Retention and Scaling...

    Office of Scientific and Technical Information (OSTI)

    and Scaling Limits in Resistive Memory. Citation Details In-Document Search Title: Analytical Estimations for Thermal Crosstalk Retention and Scaling Limits in Resistive Memory. ...

  13. Derivative-free optimization for parameter estimation in computational...

    Office of Scientific and Technical Information (OSTI)

    in computational nuclear physics Citation Details In-Document Search Title: Derivative-free optimization for parameter estimation in computational nuclear physics Authors: ...

  14. Wind Resource Estimation and Mapping at the National Renewable...

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

    Resource Estimation and Mapping at the National Renewable Energy Laboratory April 1999 * NRELCP-500-26245 M. Schwartz Presented at the ASES Solar '99 Conference Portland, Maine...

  15. Estimating atmospheric parameters and reducing noise for multispectral imaging

    DOE Patents [OSTI]

    Conger, James Lynn

    2014-02-25

    A method and system for estimating atmospheric radiance and transmittance. An atmospheric estimation system is divided into a first phase and a second phase. The first phase inputs an observed multispectral image and an initial estimate of the atmospheric radiance and transmittance for each spectral band and calculates the atmospheric radiance and transmittance for each spectral band, which can be used to generate a "corrected" multispectral image that is an estimate of the surface multispectral image. The second phase inputs the observed multispectral image and the surface multispectral image that was generated by the first phase and removes noise from the surface multispectral image by smoothing out change in average deviations of temperatures.

  16. Regional Scale Surface CO2 Exchange Estimates Using a Boundary...

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

    Estimates Using a Boundary Layer Budget Method over the Southern Great Plains Williams, Ian University of Chicago Riley, William Lawrence Berkeley National Laboratory...

  17. Energy savings estimates and cost benefit calculations for high...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Energy savings estimates and cost benefit calculations for high performance relocatable classrooms Citation Details In-Document Search Title: Energy savings ...

  18. A Simple, Fast Method of Estimating Fractured Reservoir Geometry...

    Open Energy Info (EERE)

    Fractured Reservoir Geometry from Tracer Tests Abstract A simple method of estimating flow geometry and pore geometry from conservative tracer tests in single phase geothermal...

  19. Estimation of the relationship between remotely sensed anthropogenic...

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Search Results Journal Article: Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use Citation Details ...

  20. Reconciling estimates of the contemporary North American carbon...

    Office of Scientific and Technical Information (OSTI)

    of carbon stocks and flux, and the uncertainties inherent in each approach. The alternative approaches to estimating continental scale carbon fluxes that we explored here can...

  1. Glass Property Models and Constraints for Estimating the Glass...

    Office of Scientific and Technical Information (OSTI)

    glass formulation and melter testing data have suggested that significant increases in waste loading in HLW and LAW glasses are possible over current system planning estimates....

  2. Retrofit Energy Savings Estimation Model | Open Energy Information

    Open Energy Info (EERE)

    Desktop Application Website: btech.lbl.govtoolsresemresem.htm Cost: Free Language: English References: Retrofit Energy Savings Estimation Model1 Logo: Retrofit...

  3. Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic...

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

    Previous estimates of the wind resources in Uttarakhand, India, suggest minimal wind resources in this region. To explore whether or not the complex terrain in fact provides ...

  4. Geothermal reservoir temperatures estimated from the oxygen isotope...

    Open Energy Info (EERE)

    applied to thermal systems of Yellowstone Park, Wyoming, Long Valley, California, and Raft River, Idaho to estimate deep reservoir temperatures of 360, 240, and 142C,...

  5. Covered Product Category: Cool Roof Products | Department of Energy

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

    Cool Roof Products Covered Product Category: Cool Roof Products The Federal Energy Management Program (FEMP) provides acquisition guidance for cool roof products, which are an ENERGY STAR-qualified product category. Federal laws and requirements mandate that agencies meet these efficiency requirements in all procurement and acquisition actions that are not specifically exempted by law. Most manufacturers display the ENERGY STAR label on complying models. For a model not displaying this label,

  6. Product Codes for Tracking Energy-Efficient Product Purchases | Department

    Energy Savers [EERE]

    of Energy Codes for Tracking Energy-Efficient Product Purchases Product Codes for Tracking Energy-Efficient Product Purchases The Federal Energy Management Program (FEMP) has mapped United Nations Standard Products and Services Codes (UNSPSCs) and Environmental Attribute Codes (ENACs) to the FEMP designated and ENERGY STAR qualified product categories subject to federal efficiency requirements. Federal agencies may find this mapping useful in tracking and reporting on sustainable acquisition

  7. Production Target Design Report

    SciTech Connect (OSTI)

    Woloshun, Keith Albert; Dale, Gregory E.; Olivas, Eric Richard

    2015-07-28

    The Northstar 99Mo production target, a cylindrical length of 100Mo rod, has evolved considerably since its first conception.The cylinder was very early sliced into disks to increase the heat transfer area, first to 1 mm thick disks then to the current 0.5 mm thick.The coolant was changed early in the target development from water to helium to eliminate corrosion and dissolution.The diameter has increased from initially 6 mm to 12 mm, the current diameter of the test target now at ANL, to nominally 28 mm (26-30.6 mm, depending upon optimal beam spot size and shape).The length has also changed to improve the production to cost ratio, so now the target is nominally 41 mm long (excluding coolant gaps between disks), and irradiated on both ends.This report summarizes the current status of the plant target design.

  8. Weekly Refiner Net Production

    Gasoline and Diesel Fuel Update (EIA)

    Net Production (Thousand Barrels per Day) Period: Weekly 4-Week Average Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Product/Region 02/05/16 02/12/16 02/19/16 02/26/16 03/04/16 03/11/16 View History Finished Motor Gasoline 1,708 1,811 1,620 1,497 1,512 1,554 2010-2016 East Coast (PADD 1) 64 59 65 68 71 64 2010-2016 Midwest (PADD 2) 350 361 354 363 367 347 2010-2016 Gulf Coast (PADD 3) 1,050 1,097 909 778 795 808 2010-2016 Rocky

  9. Weekly Ethanol Production

    Gasoline and Diesel Fuel Update (EIA)

    Ethanol Plant Production (Thousand Barrels per Day) Period: Weekly 4-Week Average Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Product/Region 02/05/16 02/12/16 02/19/16 02/26/16 03/04/16 03/11/16 View History Fuel Ethanol 969 975 994 987 978 999 2010-2016 East Coast (PADD 1) W W W W W W 2010-2016 Midwest (PADD 2) 889 892 913 904 897 917 2010-2016 Gulf Coast (PADD 3) W W W W W W 2010-2016 Rocky Mountain (PADD 4) W W W W W W

  10. FEMP Designated Product: Lavatory Faucets

    Broader source: Energy.gov [DOE]

    FEMP suspended its product designation and purchasing specification for commercial faucets until further notice.

  11. PRODUCTION OF TRIFLUOROACETIC ACID

    DOE Patents [OSTI]

    Haworth, W.N.; Stacey, M.

    1949-07-19

    A method is given for the production of improved yields of trifluoroacetic acid. The compound is prepared by oxidizing m-aminobenzotrifluoride with an alkali metal or alkaline earth metal permanganate at a temperature in the range of 80 deg C to 100 deg C while dissolved ln a mixture of water with glacial acetic acid and/or trifluoroacetic acid. Preferably a mixture of water and trifluoroacetic acid ls used as the solvent.

  12. NGPL Production, Gaseous Equivalent

    Gasoline and Diesel Fuel Update (EIA)

    NGPL Production, Gaseous Equivalent Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area Jul-15 Aug-15 Sep-15 Oct-15 Nov-15 Dec-15 View History U.S. 145,534 147,972 144,086 152,538 148,859 150,870 1973-2015

  13. probabilistic energy production forecasts

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

    probabilistic energy production forecasts - 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 Testing Nuclear Fuel Cycle Defense Waste Management

  14. substantially reduced production costs

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

    production costs - 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 Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear

  15. Joined ceramic product

    DOE Patents [OSTI]

    Henager, Jr., Charles W [Kennewick, WA; Brimhall, John L. (West Richland, WA) [West Richland, WA

    2001-08-21

    According to the present invention, a joined product is at least two ceramic parts, specifically bi-element carbide parts with a bond joint therebetween, wherein the bond joint has a metal silicon phase. The bi-element carbide refers to compounds of MC, M.sub.2 C, M.sub.4 C and combinations thereof, where M is a first element and C is carbon. The metal silicon phase may be a metal silicon carbide ternary phase, or a metal silicide.

  16. Coal combustion products (CCPs

    Office of Environmental Management (EM)

    Coal combustion products (CCPs) are solid materials produced when coal is burned to generate electricity. Since coal provides the largest segment of U.S. electricity generation (45 percent in 2010), finding a sustainable solution for CCPs is an important environmental challenge. When properly managed, CCPs offer society environmental and economic benefits without harm to public health and safety. Research supported by the U.S. Department of Energy's (DOE) Office of Fossil Energy (FE) has made an

  17. Nuclear Facilities Production Facilities

    National Nuclear Security Administration (NNSA)

    Facilities Production Facilities Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000. Sand 2011-4582P. ENERGY U.S. DEPARTMENT OF Gamma Irradiation Facility (GIF) The GIF provides test cells for the irradiation of experiments with high-intensity gamma ray sources. The main features

  18. Charged pion production in $$\

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

    Eberly, B.; et al.

    2015-11-23

    Charged pion production via charged-current νμ interactions on plastic scintillator (CH) is studied using the MINERvA detector exposed to the NuMI wideband neutrino beam at Fermilab. Events with hadronic invariant mass W < 1.4 GeV and W < 1.8 GeV are selected in separate analyses: the lower W cut isolates single pion production, which is expected to occur primarily through the Δ(1232) resonance, while results from the higher cut include the effects of higher resonances. Cross sections as functions of pion angle and kinetic energy are compared to predictions from theoretical calculations and generator-based models for neutrinos ranging in energymore » from 1.5–10 GeV. The data are best described by calculations which include significant contributions from pion intranuclear rescattering. As a result, these measurements constrain the primary interaction rate and the role of final state interactions in pion production, both of which need to be well understood by neutrino oscillation experiments.« less

  19. 2014 Domestic Uranium Production Report

    Gasoline and Diesel Fuel Update (EIA)

    Domestic Uranium Production Report 2014 Domestic Uranium Production Report Release Date: April 30, 2015 Next Release Date: May 2016 Table 9. Summary production statistics of the U.S. uranium industry, 1993-2014 Exploration and Development Surface Drilling Exploration and Development Drilling Expenditures 1 Mine Production of Uranium Uranium Concentrate Production Uranium Concentrate Shipments Employment Year (million feet) (million dollars) (million pounds U 3 O 8 ) (million pounds U 3 O 8 )

  20. Product Demonstrations | Department of Energy

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

    Product Demonstrations Product Demonstrations The Consortium will pursue a number of demonstrations following the general procedure used by DOE's GATEWAY demonstration program. Specific products to be featured in a demonstration may be selected by the host site or may be suggested for a given installation by the Consortium based on the product's anticipated performance in that installation. In the latter case, products will be evaluated for suitability based on performance relative to other