National Library of Energy BETA

Sample records for macroeconomic real gross

  1. "Table 2. Real Gross Domestic Product Growth Trends, Projected vs. Actual"

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

    Real Gross Domestic Product Growth Trends, Projected vs. Actual" "Projected Real GDP Growth Trend" " (cumulative average percent growth in projected real GDP from first year shown for each AEO)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013 "AEO

  2. Table 2. Real Gross Domestic Product Growth Trends, Projected vs. Actual

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

    Real Gross Domestic Product Growth Trends, Projected vs. Actual Projected Real GDP Growth Trend (cumulative average percent growth in projected real GDP from first year shown for each AEO) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 AEO 1994 3.09 3.15 2.86 2.78 2.73 2.65 2.62 2.60 2.56 2.53 2.52 2.49 2.45 2.41 2.40 2.36 2.32 2.29 AEO 1995 3.66 2.77 2.53 2.71 2.67 2.61 2.55 2.48 2.46 2.45 2.45 2.43 2.39 2.35 2.31 2.27 2.24 AEO 1996 2.61

  3. Microsoft Word - macroeconomic_aeo2012.docx

    Gasoline and Diesel Fuel Update (EIA)

    Gross State Product The MAM projects regional gross regional product in real per capita terms. The equations are in log form. There is an estimated equation for each of the nine...

  4. Model Documentation Report: Macroeconomic Activity Module (MAM...

    Gasoline and Diesel Fuel Update (EIA)

    Gross State Product The MAM projects regional gross regional product in real per capita terms. The equations are in log form. There is an estimated equation for each of the nine...

  5. Fixed conditions for achieving the real-valued partition function of one-dimensional Gross-Pitaevskii equation coupled with time-dependent potential

    SciTech Connect (OSTI)

    Prayitno, T. B.

    2014-03-24

    We have imposed the conditions in order to preserve the real-valued partition function in the case of onedimensional Gross-Pitaevskii equation coupled by time-dependent potential. In this case we have solved the Gross-Pitaevskii equation by means of the time-dependent perturbation theory by extending the previous work of Kivshar et al. [Phys. Lett A 278, 225–230 (2001)]. To use the method, we have treated the equation as the macroscopic quantum oscillator and found that the expression of the partition function explicitly has complex values. In fact, we have to choose not only the appropriate functions but also the suitable several values of the potential to keep the real-valued partition function.

  6. Samantha Gross

    Broader source: Energy.gov [DOE]

    Samantha Gross is the Director for International Climate and Clean Energy at the Office of International Affairs in the U.S. Department of Energy. She directs U.S. activities under the Clean Energy...

  7. Macroeconomic Activity Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Macroeconomic Activity Module (MAM) used to develop the Annual Energy Outlook for 2014 (AEO2014). The report catalogues and describes the module assumptions, computations, methodology, parameter estimation techniques, and mainframe source code

  8. grossWCI.dvi

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

    Nuclear multifragmentation, Its relation to general physics A rich test-ground of the fundamentals of statistical mechanics. D.H.E. Gross 1 Hahn-Meitner Institute Glienickerstr. 100 14109 Berlin, Germany gross@hmi.de; http://www.hmi.de/people/gross/ 2 Freie Universit¨ at Berlin, Fachbereich Physik. Received: date / Revised version: date Abstract. Heat can flow from cold to hot at any phase separation, even in macroscopic systems. Therefore also Lynden-Bell's famous gravo-thermal catastrophe [1]

  9. Short-Term Energy Outlook Model Documentation: Macro Bridge Procedure to Update Regional Macroeconomic Forecasts with National Macroeconomic Forecasts

    Reports and Publications (EIA)

    2010-01-01

    The Regional Short-Term Energy Model (RSTEM) uses macroeconomic variables such as income, employment, industrial production and consumer prices at both the national and regional1 levels as explanatory variables in the generation of the Short-Term Energy Outlook (STEO). This documentation explains how national macroeconomic forecasts are used to update regional macroeconomic forecasts through the RSTEM Macro Bridge procedure.

  10. Alternative Measures of Welfare in Macroeconomic Models

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

    Alternative Measures of Welfare in Macroeconomic Models Vipin Arora December 2013 Independent Statistics & Analysis www.eia.gov U.S. Energy Information Administration Washington, DC 20585 This paper is released to encourage discussion and critical comment. The analysis and conclusions expressed here are those of the authors and not necessarily those of the U.S. Energy Information Administration. WORKING PAPER SERIES December 2013 Vipin Arora | U.S. Energy Information Administration | This

  11. Assumption to the Annual Energy Outlook 2014 - Macroeconomic...

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

    in this module. A detailed description of the MAM is provided in the EIA publication, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy...

  12. Michael Gross | Photosynthetic Antenna Research Center

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

    Michael Gross Michael Gross Michael Gross Principal Investigator E-mail: mgross@wustl.edu Phone: (314) 935-4814 Website: Washington University in St. Louis Principal Investigator...

  13. ,"Alaska Natural Gas Gross Withdrawals and Production"

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

    "Back to Contents","Data 1: Alaska Natural Gas Gross Withdrawals and Production" ... "Date","Alaska Natural Gas Gross Withdrawals (MMcf)","Alaska Natural ...

  14. ,"Arkansas Natural Gas Gross Withdrawals and Production"

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

    to Contents","Data 1: Arkansas Natural Gas Gross Withdrawals and Production" ... "Date","Arkansas Natural Gas Gross Withdrawals (MMcf)","Arkansas Natural ...

  15. Texas--onshore Natural Gas Gross Withdrawals (Million Cubic Feet...

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

    Gross Withdrawals (Million Cubic Feet) Texas--onshore Natural Gas Gross Withdrawals ... Referring Pages: Natural Gas Gross Withdrawals Texas Onshore Natural Gas Gross Withdrawals ...

  16. Texas--State Offshore Natural Gas Gross Withdrawals (Million...

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

    Gross Withdrawals (Million Cubic Feet) Texas--State Offshore Natural Gas Gross Withdrawals ... Offshore Gross Withdrawals of Natural Gas Natural Gas Gross Withdrawals Texas State ...

  17. Texas Natural Gas Gross Withdrawals Total Offshore (Million Cubic...

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

    Gross Withdrawals Total Offshore (Million Cubic Feet) Texas Natural Gas Gross Withdrawals ... Offshore Gross Withdrawals of Natural Gas Natural Gas Gross Withdrawals Texas Offshore ...

  18. Petroleum Data, Natural Gas Data, Coal Data, Macroeconomic Data, Petroleum Import Data

    SciTech Connect (OSTI)

    2009-01-18

    Supplemental tables to the Annual Energy Outlook (AEO) 2006 for petroleum, natural gas, coal, macroeconomic, and import data

  19. ,"West Virginia Natural Gas Gross Withdrawals (MMcf)"

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

    AM" "Back to Contents","Data 1: West Virginia Natural Gas Gross Withdrawals (MMcf)" "Sourcekey","N9010WV2" "Date","West Virginia Natural Gas Gross Withdrawals (MMcf)" ...

  20. David J. Gross and the Strong Force

    Office of Scientific and Technical Information (OSTI)

    ... Nobel Laureate Says Physics Is in Need of a Revolution Videos: Nobel Lecture by David J. Gross, nobelprize.org (video) Interview with David J. Gross, nobelprize.org (video) ...

  1. ,"New Mexico Natural Gas Gross Withdrawals (MMcf)"

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

    7:01:11 AM" "Back to Contents","Data 1: New Mexico Natural Gas Gross Withdrawals (MMcf)" "Sourcekey","N9010NM2" "Date","New Mexico Natural Gas Gross Withdrawals (MMcf)" ...

  2. Sofia Mancheno-Gross | Department of Energy

    Energy Savers [EERE]

    Sofia Mancheno-Gross Sofia Mancheno-Gross Sofia Mancheno-Gross - Senior Communications Lead Sofia specializes in Communications strategies on behalf of the Office of Energy Efficiency and Renewable Energy. Most Recent Guía Ahorre Energía: Consejos sobre el ahorro de dinero y energía en el hogar November 14

  3. Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals...

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

    Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells Federal Offshore Gulf of Mexico Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from ...

  4. Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals...

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

    Referring Pages: Natural Gas Gross Withdrawals from Shale Gas Wells Federal Offshore Gulf of Mexico Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from ...

  5. Missouri Natural Gas Gross Withdrawals from Oil Wells (Million...

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

    292016 Next Release Date: 2292016 Referring Pages: Natural Gas Gross Withdrawals from Oil Wells Missouri Natural Gas Gross Withdrawals and Production Natural Gas Gross...

  6. An Evaluation of Macroeconomic Models for Use at EIA

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

    An Evaluation of Macroeconomic Models for Use at EIA Vipin Arora December 2013 Independent Statistics & Analysis www.eia.gov U.S. Energy Information Administration Washington, DC 20585 This paper is released to encourage discussion and critical comment. The analysis and conclusions expressed here are those of the authors and not necessarily those of the U.S. Energy Information Administration. WORKING PAPER SERIES December 2013 Vipin Arora | U.S. Energy Information Administration | This paper

  7. ,"Ohio Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Gross Withdrawals and Production",10,"Monthly","22016","1151991" ,"Release ...

  8. ,"Wyoming Natural Gas Gross Withdrawals and Production"

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

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

  9. ,"Utah Natural Gas Gross Withdrawals and Production"

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

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

  10. ,"Texas Natural Gas Gross Withdrawals and Production"

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

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

  11. ,"Michigan Natural Gas Gross Withdrawals and Production"

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

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

  12. ,"Oklahoma Natural Gas Gross Withdrawals and Production"

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

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

  13. ,"Montana Natural Gas Gross Withdrawals and Production"

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

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

  14. ,"Oregon Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Gross Withdrawals and Production",10,"Monthly","22016","1151991" ,"Release ...

  15. David J. Gross and the Strong Force

    Office of Scientific and Technical Information (OSTI)

    published their proposal simultaneously with H. David Politzer, a graduate student at Harvard University who independently came up with the same idea. ... The discovery of Gross,...

  16. ,"Texas Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  17. ,"Kansas Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  18. ,"Pennsylvania Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  19. ,"Kentucky Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  20. ,"Oregon Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301979" ,"Release...

  1. ,"Virginia Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  2. ,"Missouri Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  3. ,"Illinois Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  4. ,"Florida Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  5. ,"Utah Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  6. ,"Indiana Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  7. ,"Nevada Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Nevada Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301991" ,"Release...

  8. ,"Montana Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  9. ,"Ohio Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  10. ,"California Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  11. ,"Mississippi Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  12. ,"Nebraska Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  13. ,"Michigan Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  14. ,"Tennessee Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  15. ,"Oklahoma Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  16. ,"Wyoming Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  17. ,"Maryland Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  18. ,"Louisiana Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  19. ,"Colorado Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  20. ,"Alaska Natural Gas Gross Withdrawals and Production"

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

    ,,"(202) 586-8800",,,"4292016 6:48:19 AM" "Back to Contents","Data 1: Alaska Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AK2","N9011AK2","N9012AK2","NGME...

  1. ,"Arkansas Natural Gas Gross Withdrawals and Production"

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

    ,,"(202) 586-8800",,,"4292016 6:48:21 AM" "Back to Contents","Data 1: Arkansas Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AR2","N9011AR2","N9012AR2","NGME...

  2. ,"Arizona Natural Gas Gross Withdrawals and Production"

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

    ,,"(202) 586-8800",,,"4292016 6:48:23 AM" "Back to Contents","Data 1: Arizona Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AZ2","N9011AZ2","N9012AZ2","NGME...

  3. ,"Arizona Natural Gas Gross Withdrawals and Production"

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

    ,,"(202) 586-8800",,,"4292016 6:48:22 AM" "Back to Contents","Data 1: Arizona Natural Gas Gross Withdrawals and Production" "Sourcekey","N9010AZ2","N9011AZ2","N9012AZ2","NGME...

  4. Quantification of the Potential Gross Economic Impacts of Five...

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

    Quantification of the Potential Gross Economic Impacts of Five Methane Reduction Scenarios Quantification of the Potential Gross Economic Impacts of Five Methane Reduction Scenarios ...

  5. Property:DailyOpWaterUseGross | Open Energy Information

    Open Energy Info (EERE)

    Property Name DailyOpWaterUseGross Property Type Number Description Daily Operation Water Use (afday) Gross. Retrieved from "http:en.openei.orgwindex.php?titleProperty:...

  6. Methodology for the Assessment of the Macroeconomic Impacts of Stricter CAFE Standards - Addendum

    Reports and Publications (EIA)

    2002-01-01

    This assessment of the economic impacts of Corporate Average Fuel Economy (CAFÉ) standards marks the first time the Energy Information Administration has used the new direct linkage of the DRI-WEFA Macroeconomic Model to the National Energy Modeling System (NEMS) in a policy setting. This methodology assures an internally consistent solution between the energy market concepts forecast by NEMS and the aggregate economy as forecast by the DRI-WEFA Macroeconomic Model of the U.S. Economy.

  7. Oregon Natural Gas Gross Withdrawals and Production

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

    2012 2013 2014 View History Gross Withdrawals 821 1,407 1,344 770 770 950 1979-2014 From Gas Wells 821 1,407 1,344 770 770 950 1979-2014 From Oil Wells 0 0 0 0 0 0 1996-2014 From ...

  8. New Mexico Natural Gas Gross Withdrawals (Million Cubic Feet...

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

    Gross Withdrawals (Million Cubic Feet per Day) New Mexico Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 4,406...

  9. New York Natural Gas Gross Withdrawals (Million Cubic Feet per...

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet per Day) New York Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 149 147...

  10. Virginia Natural Gas Gross Withdrawals (Million Cubic Feet per...

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

    Gross Withdrawals (Million Cubic Feet per Day) Virginia Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 271 275...

  11. US--Federal Offshore Natural Gas Gross Withdrawals (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet) US--Federal Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  12. West Virginia Natural Gas Gross Withdrawals (Million Cubic Feet...

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet per Day) West Virginia Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006...

  13. Montana Natural Gas Gross Withdrawals (Million Cubic Feet per...

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet per Day) Montana Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 317 313...

  14. Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals...

    Gasoline and Diesel Fuel Update (EIA)

    Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals (Million Cubic Feet per...

  15. California Natural Gas Gross Withdrawals (Million Cubic Feet...

    Gasoline and Diesel Fuel Update (EIA)

    Gross Withdrawals (Million Cubic Feet per Day) California Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 998...

  16. Kansas Natural Gas Gross Withdrawals (Million Cubic Feet per...

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

    Gross Withdrawals (Million Cubic Feet per Day) Kansas Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 1,049...

  17. Arizona Natural Gas Gross Withdrawals (Million Cubic Feet per...

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

    Arizona Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Arizona Natural Gas Gross Withdrawals (Million Cubic Feet per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct...

  18. Virginia Natural Gas Gross Withdrawals and Production

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

    09 2010 2011 2012 2013 2014 View History Gross Withdrawals 140,738 147,255 151,094 146,405 139,382 131,885 1967-2014 From Gas Wells 16,046 23,086 20,375 21,802 26,815 27,052 1967-2014 From Oil Wells 0 0 0 9 9 9 2006-2014 From Shale Gas Wells 18,284 16,433 18,501 17,212 13,016 12,226 2007-2014 From Coalbed Wells 106,408 107,736 112,219 107,383 99,542 92,599 2006-2014 Repressuring 0 0 0 0 0 0 2003-2014 Vented and Flared NA NA NA 0 NA NA 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 1997-2014

  19. Kansas Natural Gas Gross Withdrawals and Production

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

    10 2011 2012 2013 2014 2015 View History Gross Withdrawals 325,591 309,952 296,299 292,467 286,080 292,450 1967-2015 From Gas Wells 247,651 236,834 264,610 264,223 260,715 1967-2014 From Oil Wells 39,071 37,194 0 0 0 1967-2014 From Shale Gas Wells 0 0 0 0 0 2007-2014 From Coalbed Wells 38,869 35,924 31,689 28,244 25,365 2002-2014 Repressuring 548 521 0 NA NA 1967-2014 Vented and Flared 323 307 0 NA NA 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 2002-2014 Marketed Production 324,720 309,124

  20. Pennsylvania Natural Gas Gross Withdrawals and Production

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

    10 2011 2012 2013 2014 2015 View History Gross Withdrawals 572,902 1,310,592 2,256,696 3,259,042 4,214,643 4,768,848 1967-2015 From Gas Wells 173,450 242,305 210,609 207,872 174,576 1967-2014 From Oil Wells 0 0 3,456 2,987 3,564 1967-2014 From Shale Gas Wells 399,452 1,068,288 2,042,632 3,048,182 4,036,504 2007-2014 From Coalbed Wells 0 0 0 0 0 2006-2014 Repressuring 0 0 0 0 0 1967-2014 Vented and Flared 0 0 0 0 0 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 1997-2014 Marketed Production

  1. Kentucky Natural Gas Gross Withdrawals and Production

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

    09 2010 2011 2012 2013 2014 View History Gross Withdrawals 113,300 135,330 124,243 106,122 94,665 78,737 1967-2014 From Gas Wells 111,782 133,521 122,578 106,122 94,665 78,737 1967-2014 From Oil Wells 1,518 1,809 1,665 0 0 0 1967-2014 From Shale Gas Wells 0 0 0 0 0 0 2007-2014 From Coalbed Wells 0 0 0 0 0 0 2006-2014 Repressuring 0 0 0 0 0 0 2006-2014 Vented and Flared 0 0 0 0 0 0 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 2006-2014 Marketed Production 113,300 135,330 124,243 106,122

  2. Louisiana Natural Gas Gross Withdrawals and Production

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

    10 2011 2012 2013 2014 2015 View History Gross Withdrawals 2,218,283 3,040,523 2,955,437 2,366,943 1,987,630 1,941,727 1967-2015 From Gas Wells 911,967 883,712 775,506 780,623 737,185 1967-2014 From Oil Wells 63,638 68,505 49,380 51,948 50,638 1967-2014 From Shale Gas Wells 1,242,678 2,088,306 2,130,551 1,534,372 1,199,807 2007-2014 From Coalbed Wells 0 0 0 0 0 2002-2014 Repressuring 3,606 5,015 0 2,829 3,199 1967-2014 Vented and Flared 4,578 6,302 0 3,912 4,143 1967-2014 Nonhydrocarbon Gases

  3. Nebraska Natural Gas Gross Withdrawals and Production

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

    09 2010 2011 2012 2013 2014 View History Gross Withdrawals 2,916 2,255 1,980 1,328 1,032 402 1967-2014 From Gas Wells 2,734 2,092 1,854 1,317 1,027 400 1967-2014 From Oil Wells 182 163 126 11 5 1 1967-2014 From Shale Gas Wells 0 0 0 0 0 0 2007-2014 From Coalbed Wells 0 0 0 0 0 0 2006-2014 Repressuring 0 0 0 0 0 0 1967-2014 Vented and Flared 9 24 21 0 NA NA 1967-2014 Nonhydrocarbon Gases Removed 0 0 0 0 0 0 2006-2014 Marketed Production 2,908 2,231 1,959 1,328 1,032 402 1967-2014 Dry Production

  4. ,"West Virginia Natural Gas Gross Withdrawals and Production...

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

    Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Natural Gas Gross Withdrawals and Production",10,"Monthly","22016","1151991" ,"Release ...

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

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

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

  6. ,"Other States Total Natural Gas Gross Withdrawals and Production...

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

    Total Natural Gas Gross Withdrawals and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ...

  7. ,"U.S. Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Gross Withdrawals and Production",10,"Monthly","22016","1151973" ,"Release ...

  8. Gross Gamma-Ray Calibration Blocks (May 1978) | Department of...

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

    for, and the Procedures Currently Utilized in, Gross Gamma-Ray Log Calibration (October 1976) Parameter Assignments for Spectral Gamma-Ray Borehole Calibration Models (April 1984

  9. ,"New Mexico Natural Gas Gross Withdrawals from Oil Wells (MMcf...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals from Oil Wells (MMcf)",1,"Annual",2014 ,"Release...

  10. ,"New Mexico Natural Gas Gross Withdrawals from Gas Wells (MMcf...

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals from Gas Wells (MMcf)",1,"Annual",2014 ,"Release...

  11. ,"Oregon Natural Gas Gross Withdrawals from Shale Gas (Million...

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ... Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","1...

  12. ,"Nevada Natural Gas Gross Withdrawals from Shale Gas (Million...

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

    Shale Gas (Million Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ... Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)",1,"Monthly","1...

  13. ,"Federal Offshore Gulf of Mexico Natural Gas Gross Withdrawals...

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

    Gulf of Mexico Natural Gas Gross Withdrawals and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest...

  14. ,"New Mexico Natural Gas Gross Withdrawals and Production"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals and Production",10,"Annual",2014,"06301967" ,"Release...

  15. Kentucky Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    Feet) Coalbed Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells Kentucky Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Coalbed

  16. Maryland Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    Feet) Coalbed Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells Maryland Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Coalbed

  17. Nebraska Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    Feet) Coalbed Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells Nebraska Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Coalbed

  18. Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals...

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

    Gas Wells (Million Cubic Feet) Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov ...

  19. Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals...

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

    Oil Wells (Million Cubic Feet) Federal Offshore--Gulf of Mexico Natural Gas Gross Withdrawals from Oil Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov ...

  20. Physics Nobel winner David Gross gives public lecture at Jefferson...

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

    Physics Nobel winner David Gross gives public lecture at Jefferson Lab on June 12 (Monday) ... "The Coming Revolutions in Fundamental Physics" beginning at 8 p.m. at Jefferson Lab on ...

  1. Missouri Natural Gas Gross Withdrawals from Oil Wells (Million...

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

    from Oil Wells (Million Cubic Feet) Missouri Natural Gas Gross Withdrawals from Oil Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  2. Montana Natural Gas Gross Withdrawals from Gas Wells (Million...

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

    Gas Wells (Million Cubic Feet) Montana Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 4,561 3,826 4,106 ...

  3. Oklahoma Natural Gas Gross Withdrawals from Shale Gas (Million...

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

    Shale Gas (Million Cubic Feet) Oklahoma Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 7,051 6,368 ...

  4. Louisiana Natural Gas Gross Withdrawals from Gas Wells (Million...

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

    Gas Wells (Million Cubic Feet) Louisiana Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 425,704 369,500 ...

  5. Florida Natural Gas Gross Withdrawals from Gas Wells (Million...

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

    Gas Wells (Million Cubic Feet) Florida Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1996 - - - - - - - - - ...

  6. Ohio Natural Gas Gross Withdrawals from Shale Gas (Million Cubic...

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

    Shale Gas (Million Cubic Feet) Ohio Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 1 1 1 1 1 1 1 1 1 1 ...

  7. California Natural Gas Gross Withdrawals from Gas Wells (Million...

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

    Gas Wells (Million Cubic Feet) California Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 13,569 12,155 ...

  8. California Natural Gas Gross Withdrawals from Shale Gas (Million...

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

    Shale Gas (Million Cubic Feet) California Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 ...

  9. Michigan Natural Gas Gross Withdrawals from Gas Wells (Million...

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

    Gas Wells (Million Cubic Feet) Michigan Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 9,579 8,593 ...

  10. Texas Natural Gas Gross Withdrawals from Gas Wells (Million Cubic...

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

    Gas Wells (Million Cubic Feet) Texas Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 507,274 440,015 ...

  11. Oklahoma Natural Gas Gross Withdrawals from Gas Wells (Million...

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

    Gas Wells (Million Cubic Feet) Oklahoma Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 163,978 147,543 ...

  12. Montana Natural Gas Gross Withdrawals from Shale Gas (Million...

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

    Shale Gas (Million Cubic Feet) Montana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 1,239 1,119 1,239 ...

  13. Michigan Natural Gas Gross Withdrawals from Shale Gas (Million...

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

    Shale Gas (Million Cubic Feet) Michigan Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 11,582 10,461 ...

  14. Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million...

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

    Shale Gas (Million Cubic Feet) Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 1,273 1,150 ...

  15. Oregon Natural Gas Gross Withdrawals from Gas Wells (Million...

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

    from Gas Wells (Million Cubic Feet) Oregon Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 246 244 232 ...

  16. Colorado Natural Gas Gross Withdrawals from Shale Gas (Million...

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

    Shale Gas (Million Cubic Feet) Colorado Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 11,749 10,612 ...

  17. Mississippi Natural Gas Gross Withdrawals from Gas Wells (Million...

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

    Gas Wells (Million Cubic Feet) Mississippi Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 14,797 13,076 ...

  18. Colorado Natural Gas Gross Withdrawals from Gas Wells (Million...

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

    Gas Wells (Million Cubic Feet) Colorado Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 15,390 18,697 ...

  19. Pennsylvania Natural Gas Gross Withdrawals from Shale Gas (Million...

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

    from Shale Gas (Million Cubic Feet) Pennsylvania Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0 0 0 ...

  20. Texas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic...

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

    Shale Gas (Million Cubic Feet) Texas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 107,415 97,020 ...

  1. Nevada Natural Gas Gross Withdrawals from Gas Wells (Million...

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

    from Gas Wells (Million Cubic Feet) Nevada Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  2. Fact #564: March 30, 2009 Transportation and the Gross Domestic...

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

    Housing, health care, and food are the only categories with greater shares of the GDP. GDP ... Gross Domestic Product, 2007 Housing 24.3% Health Care 17.4% Food 11.6% ...

  3. Fact# 904: December 21, 2015 Gross Domestic Product and Vehicle...

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

    With the growth of VMT in 2015, the gap between the two series has narrowed for the first time since the Great Recession. GDP and VMT Trends, 1960-2015 Graph showing gross national ...

  4. Property:CoolingTowerWaterUseSummerGross | Open Energy Information

    Open Energy Info (EERE)

    Property Name CoolingTowerWaterUseSummerGross Property Type Number Description Cooling Tower Water use (summer average) (afday) Gross. Retrieved from "http:en.openei.orgw...

  5. ,"U.S. Natural Gas Gross Withdrawals from Shale Gas (Million...

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

    Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" "Sourcekey","NGMEPG0FGSNUSMMCF" "Date","U.S. Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)" ...

  6. Model developer`s appendix to the model documentation report: NEMS macroeconomic activity module

    SciTech Connect (OSTI)

    1994-07-15

    The NEMS Macroeconomic Activity Module (MAM) tested here was used to generate the Annual Energy Outlook 1994 (AEO94). MAM is a response surface model, not a structural model, composed of three submodules: the National Submodule, the Interindustry Submodule, and the Regional Submodule. Contents of this report are as follows: properties of the mathematical solution; NEMS MAM empirical basis; and scenario analysis. Scenario analysis covers: expectations for scenario analysis; historical world oil price scenario; AEO94 high world oil price scenario; AEO94 low world oil price scenario; and immediate increase world oil price scenario.

  7. Gross alpha analytical modifications that improve wastewater treatment compliance

    SciTech Connect (OSTI)

    Tucker, B.J.; Arndt, S.

    2007-07-01

    This paper will propose an improvement to the gross alpha measurement that will provide more accurate gross alpha determinations and thus allow for more efficient and cost-effective treatment of site wastewaters. To evaluate the influence of salts that may be present in wastewater samples from a potentially broad range of environmental conditions, two types of efficiency curves were developed, each using a thorium-230 (Th-230) standard spike. Two different aqueous salt solutions were evaluated, one using sodium chloride, and one using salts from tap water drawn from the Bergen County, New Jersey Publicly Owned Treatment Works (POTW). For each curve, 13 to 17 solutions were prepared, each with the same concentration of Th-230 spike, but differing in the total amount of salt in the range of 0 to 100 mg. The attenuation coefficients were evaluated for the two salt types by plotting the natural log of the counted efficiencies vs. the weight of the sample's dried residue retained on the planchet. The results show that the range of the slopes for each of the attenuation curves varied by approximately a factor of 2.5. In order to better ensure the accuracy of results, and thus verify compliance with the gross alpha wastewater effluent criterion, projects depending on gross alpha measurements of environmental waters and wastewaters should employ gross alpha efficiency curves prepared with salts that mimic, as closely as possible, the salt content of the aqueous environmental matrix. (authors)

  8. Model documentation report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System

    SciTech Connect (OSTI)

    Not Available

    1994-02-07

    This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Macroeconomic Activity Module (MAM) used to develop the Annual Energy Outlook for 1994 (AEO94). The report catalogues and describes the module assumptions, computations, methodology, parameter estimation techniques, and mainframe source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS MAM used for the AEO 1994 production runs for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.

  9. Other States Natural Gas Gross Withdrawals from Gas Wells (Million...

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

    Other States Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 72,328 63,451 67,732 63,118 62,276 59,557 ...

  10. New Mexico Natural Gas Gross Withdrawals and Production

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

    10 2011 2012 2013 2014 2015 View History Gross Withdrawals 1,341,475 1,287,682 1,276,296 1,247,394 1,265,579 1,289,908 1967-2015 From Gas Wells 616,134 556,024 653,057 588,127 ...

  11. Federal Offshore Louisiana Natural Gas Gross Withdrawals and...

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

    Data Series Area 2009 2010 2011 2012 2013 2014 View History Gross Withdrawals NA NA NA 0 0 0 1977-2014 From Gas Wells NA NA NA 0 0 0 1977-2014 From Oil Wells NA NA NA 0 0 0 ...

  12. Kansas Natural Gas Gross Withdrawals from Shale Gas (Million...

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

    Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0 0 0 0 0 0 0 0 0 0 0 2008 0 0 0 0 0 0 0 0 0 0 0 0 ...

  13. Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million...

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

    Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0 0 0 0 0 0 0 0 0 0 0 2008 0 0 0 0 0 0 0 0 ...

  14. Nebraska Natural Gas Gross Withdrawals from Shale Gas (Million...

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

    Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 0 0 0 0 0 0 0 0 0 0 0 0 2008 0 0 0 0 0 0 0 0 0 0 0 0 ...

  15. Real Property - DOE Directives, Delegations, and Requirements

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

    Real Property

  16. Property:CoolingTowerWaterUseAnnlAvgGross | Open Energy Information

    Open Energy Info (EERE)

    Property Name CoolingTowerWaterUseAnnlAvgGross Property Type Number Description Cooling Tower Water use (annual average) (afday) Gross. Retrieved from "http:en.openei.orgw...

  17. Property:CoolingTowerWaterUseWinterGross | Open Energy Information

    Open Energy Info (EERE)

    lingTowerWaterUseWinterGross Property Type Number Description Cooling Tower Water use (winter average) (afday) Gross. Retrieved from "http:en.openei.orgwindex.php?titleProper...

  18. Louisiana Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet)

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

    Gross Withdrawals Total Offshore (Million Cubic Feet) Louisiana Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,838,521 4,600,197 4,750,119 1980's 4,617,585 4,584,491 4,246,464 3,635,942 4,070,279 3,542,827 3,279,165 3,610,041 3,633,594 3,577,685 1990's 3,731,764 3,550,230 3,442,437 3,508,112 3,673,494 3,554,147 3,881,697 3,941,802 3,951,997 3,896,569 2000's 3,812,991 153,871 137,192 133,456

  19. Louisiana--State Offshore Natural Gas Gross Withdrawals (Million Cubic

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

    Feet) Gross Withdrawals (Million Cubic Feet) Louisiana--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 498,876 487,512 1980's 417,312 381,938 366,546 322,588 319,638 256,736 207,265 225,599 214,645 204,005 1990's 182,240 148,429 138,101 157,011 159,513 94,044 192,527 180,848 192,956 164,523 2000's 141,567 153,871 137,192 133,456 129,245 107,584 97,479 72,868 86,198 76,386 2010's 69,836

  20. Louisiana--onshore Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Louisiana--onshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 1,535,033 1,538,511 1,552,603 1,608,633 1,469,698 1,357,155 1,386,478 1,434,389 2000's 1,342,963 1,370,802 1,245,270 1,244,672 1,248,050 1,202,328 1,280,758 1,309,960 1,301,523 1,482,252 2010's 2,148,447 2,969,297 2,882,193 2,289,193 1,925,968 - = No Data Reported; -- = Not Applicable; NA = Not Available;

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

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

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

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

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

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

  3. Alaska Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet)

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

    Gross Withdrawals Total Offshore (Million Cubic Feet) Alaska Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 72,813 71,946 1980's 63,355 71,477 66,852 68,776 68,315 62,454 63,007 69,656 101,440 122,595 1990's 144,064 171,665 216,377 233,198 224,301 113,552 126,051 123,854 133,111 125,841 2000's 263,958 262,937 293,580 322,010 334,125 380,568 354,816 374,204 388,188 357,490 2010's 370,148 364,702

  4. Alaska--onshore Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Alaska--onshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2,409,336 2,545,144 2,861,599 3,256,352 3,247,533 3,257,096 3,245,736 3,236,241 2000's 3,265,436 3,164,843 3,183,857 3,256,295 3,309,960 3,262,379 2,850,934 3,105,086 3,027,696 2,954,896 2010's 2,826,952 2,798,220 2,857,485 2,882,956 2,803,429 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  5. Calif--onshore Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Calif--onshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 386,382 346,733 334,987 322,544 326,919 317,137 315,701 347,667 2000's 334,983 336,629 322,138 303,480 287,205 291,271 301,921 286,584 281,088 258,983 2010's 273,136 237,388 214,509 219,386 218,512 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  6. California Natural Gas Gross Withdrawals Total Offshore (Million Cubic

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

    Feet) Gross Withdrawals Total Offshore (Million Cubic Feet) California Natural Gas Gross Withdrawals Total Offshore (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 5,417 19,929 20,394 1980's 19,980 26,692 31,904 38,084 60,207 84,062 77,355 67,835 60,308 59,889 1990's 58,055 59,465 62,473 58,635 60,765 60,694 73,092 80,516 81,868 84,547 2000's 83,882 78,209 74,884 64,961 61,622 60,773 47,217 52,805 51,931 47,281 2010's 46,755 41,742

  7. Federal Offshore California Natural Gas Gross Withdrawals (Million Cubic

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

    Feet) Gross Withdrawals (Million Cubic Feet) Federal Offshore California Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 5,417 5,166 5,431 1980's 5,900 12,763 17,751 24,168 46,363 64,558 59,078 54,805 49,167 50,791 1990's 49,972 51,855 55,231 52,150 53,561 54,790 66,784 73,345 74,985 77,809 2000's 76,075 70,947 67,816 58,095 54,655 54,088 40,407 45,516 44,902 41,229 2010's 41,200 36,579 27,262 27,454

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

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

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

  9. Federal Offshore--Louisiana Natural Gas Gross Withdrawals (Million Cubic

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

    Feet) Gross Withdrawals (Million Cubic Feet) Federal Offshore--Louisiana Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 3,838,521 4,101,321 4,262,607 1980's 4,200,273 4,202,553 3,879,918 3,313,354 3,750,641 3,286,091 3,071,900 3,384,442 3,418,949 3,373,680 1990's 3,549,524 3,401,801 3,304,336 3,351,101 3,513,981 3,460,103 3,689,170 3,760,953 3,759,040 3,732,046 2000's 3,671,424 NA NA NA NA NA NA NA NA NA

  10. Physics Nobel winner David Gross gives public lecture at Jefferson Lab on

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

    June 12 (Monday) | Jefferson Lab Nobel winner David Gross gives public lecture at Jefferson Lab on June 12 (Monday) Physics Nobel winner David Gross gives public lecture at Jefferson Lab on June 12 (Monday) June 6, 2006 David Gross David Gross, Nobel Prize recipient and lecturer David Gross, Nobel Prize recipient is scheduled to give a free, public lecture titled "The Coming Revolutions in Fundamental Physics" beginning at 8 p.m. at Jefferson Lab on (Monday) June 12. He is one of

  11. California--State Offshore Natural Gas Gross Withdrawals (Million Cubic

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

    Feet) Gross Withdrawals (Million Cubic Feet) California--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 14,763 14,963 1980's 14,080 13,929 14,153 13,916 13,844 19,504 18,277 13,030 11,141 9,098 1990's 8,083 7,610 7,242 6,484 7,204 5,904 6,309 7,171 6,883 6,738 2000's 7,808 7,262 7,068 6,866 6,966 6,685 6,809 7,289 7,029 6,052 2010's 5,554 5,163 5,051 5,470 5,961 - = No Data Reported; -- =

  12. Table 6.4 Natural Gas Gross Withdrawals and Natural Gas Well Productivity, 1960-2011

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

    Natural Gas Gross Withdrawals and Natural Gas Well Productivity, 1960-2011 Year Natural Gas Gross Withdrawals From Crude Oil, Natural Gas, Coalbed, and Shale Gas Wells Natural Gas Well Productivity Texas 1 Louisiana 1 Oklahoma Other States 1 Federal Gulf of Mexico 2 Total Onshore Offshore Total Gross With- drawals From Natural Gas Wells 3 Producing Wells 4 Average Productivity Federal State Total Million Cubic Feet Million Cubic Feet Million Cubic Feet Number Cubic Feet per Well 1960 6,964,900

  13. Virginia Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 19,038 37,808 41,230 2000's 36,700 33,118 34,936 35,256 48,784 66,951 60,321 90,573 76,983 94,829 2010's 139,755 142,284 189,848 171,588 158,672 243,116

    09 2010 2011 2012 2013 2014 View History Gross Withdrawals 140,738 147,255 151,094 146,405 139,382 131,885 1967-2014 From Gas Wells 16,046 23,086 20,375 21,802 26,815 27,052 1967-2014 From Oil Wells 0 0 0 9 9 9 2006-2014 From Shale Gas Wells 18,284

  14. Other States Total Natural Gas Gross Withdrawals and Production

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

    Monthly-Million Cubic Feet Monthly-Million Cubic Feet per Day Annual-Million Cubic Feet Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History Gross Withdrawals 5,864,402 6,958,125 8,225,321 689,082 633,853 596,357 1991-2015 From Gas Wells 2,523,173 2,599,172 3,177,021 362,605 328,809 1991-2014 From Oil Wells 691,643 728,857 279,627 23,391 22,817 1991-2014 From

  15. Oregon Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 24,171 52,846 49,661 2000's 69,451 82,542 55,854 74,400 88,734 87,998 75,186 101,503 116,637 108,705 2010's 108,827 60,252 81,444 101,930 90,099 113,988

    09 2010 2011 2012 2013 2014 View History Gross Withdrawals 821 1,407 1,344 770 770 950 1979-2014 From Gas Wells 821 1,407 1,344 770 770 950 1979-2014 From Oil Wells 0 0 0 0 0 0 1996-2014 From Shale Gas Wells 0 0 0 0 0 0 2007-2014 From Coalbed Wells 0

  16. Pennsylvania Natural Gas Gross Withdrawals from Coalbed Wells (Million

    Gasoline and Diesel Fuel Update (EIA)

    Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 20,430 30,240 31,353 2000's 20,597 22,632 50,251 41,238 76,186 80,640 100,946 143,954 141,011 210,542 2010's 245,559 306,266 393,775 362,349 390,816 439,248

    10 2011 2012 2013 2014 2015 View History Gross Withdrawals 572,902 1,310,592 2,256,696 3,259,042 4,214,643 4,768,848 1967-2015 From Gas Wells 173,450 242,305 210,609 207,872 174,576 1967-2014 From Oil Wells 0 0 3,456 2,987 3,564 1967-2014

  17. Gross national happiness as a framework for health impact assessment

    SciTech Connect (OSTI)

    Pennock, Michael; Ura, Karma

    2011-01-15

    The incorporation of population health concepts and health determinants into Health Impact Assessments has created a number of challenges. The need for intersectoral collaboration has increased; the meaning of 'health' has become less clear; and the distinctions between health impacts, environmental impacts, social impacts and economic impacts have become increasingly blurred. The Bhutanese concept of Gross National Happiness may address these issues by providing an over-arching evidence-based framework which incorporates health, social, environmental and economic contributors as well as a number of other key contributors to wellbeing such as culture and governance. It has the potential to foster intersectoral collaboration by incorporating a more limited definition of health which places the health sector as one of a number of contributors to wellbeing. It also allows for the examination of the opportunity costs of health investments on wellbeing, is consistent with whole-of-government approaches to public policy and emerging models of social progress.

  18. Grade Assignments for Models Used for Calibration of Gross-Count Gamma-Ray

    Energy Savers [EERE]

    Logging Systems (December 1983) | Department of Energy Grade Assignments for Models Used for Calibration of Gross-Count Gamma-Ray Logging Systems (December 1983) Grade Assignments for Models Used for Calibration of Gross-Count Gamma-Ray Logging Systems (December 1983) Grade Assignments for Models Used for Calibration of Gross-Count Gamma-Ray Logging Systems (December 1983) PDF icon Grade Assignments for Models Used for Calibration of Gross-Count Gamma-Ray Logging Systems (December 1983) More

  19. Spatial confinement and thermal deconfinement in the Gross-Neveu model

    SciTech Connect (OSTI)

    Malbouisson, J. M. C.; Khanna, F. C.; Malbouisson, A. P. C.

    2007-06-19

    We discuss the occurrence of spatial confinement and thermal deconfinement in the massive, D-dimensional, Gross-Neveu model with compactified spatial dimensions.

  20. Other States Natural Gas Gross Withdrawals from Coalbed Wells (Million

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

    Cubic Feet) Coalbed Wells (Million Cubic Feet) Other States Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2002 0 0 0 0 0 0 0 0 0 0 0 0 2003 5,335 4,954 5,465 5,228 5,405 5,163 4,817 5,652 5,165 5,347 4,814 5,420 2004 5,684 5,278 5,822 5,570 5,758 5,500 5,132 6,022 5,502 5,697 5,129 5,774 2005 5,889 5,469 6,033 5,771 5,967 5,699 5,318 6,240 5,702 5,903 5,315 5,983 2006 16,225 14,883 16,627 15,979 16,802 16,447 16,891

  1. Kentucky Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2,194 5,782 5,686 2000's 4,202 4,433 13,712 3,667 4,833 17,181 12,287 19,376 9,584 8,399 2010's 19,284 15,575 31,194 14,536 26,919 52,015

    09 2010 2011 2012 2013 2014 View History Gross Withdrawals 113,300 135,330 124,243 106,122 94,665 78,737 1967-2014 From Gas Wells 111,782 133,521 122,578 106,122 94,665 78,737 1967-2014 From Oil Wells 1,518 1,809 1,665 0 0 0 1967-2014 From Shale Gas Wells 0 0 0 0 0

  2. Nebraska Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

    Gasoline and Diesel Fuel Update (EIA)

    Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 2,687 5,080 4,582 2000's 5,522 4,290 4,947 4,593 3,340 8,066 7,787 10,908 7,230 3,331 2010's 3,949 4,223 7,696 5,080 4,132 4,634

    09 2010 2011 2012 2013 2014 View History Gross Withdrawals 2,916 2,255 1,980 1,328 1,032 402 1967-2014 From Gas Wells 2,734 2,092 1,854 1,317 1,027 400 1967-2014 From Oil Wells 182 163 126 11 5 1 1967-2014 From Shale Gas Wells 0 0 0 0 0 0 2007-2014 From Coalbed Wells 0 0 0

  3. New York Natural Gas Gross Withdrawals from Coalbed Wells (Million Cubic

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

    Feet) Coalbed Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Coalbed Wells New York Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Coalbed

  4. Oregon Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)

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

    Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Shale Gas Wells Oregon Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Shale Gas

  5. Missouri Natural Gas Gross Withdrawals from Oil Wells (Million Cubic Feet)

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

    from Oil Wells (Million Cubic Feet) Missouri Natural Gas Gross Withdrawals from Oil Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 NA NA 2010's NA NA NA 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Oil Wells Missouri Natural Gas Gross Withdrawals

  6. Nevada Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet)

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

    from Gas Wells (Million Cubic Feet) Nevada Natural Gas Gross Withdrawals from Gas Wells (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 2010's 0 0 0 0 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Gas Wells Nevada Natural Gas Gross Withdrawals and

  7. Nevada Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)

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

    Shale Gas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 4/29/2016 Next Release Date: 5/31/2016 Referring Pages: Natural Gas Gross Withdrawals from Shale Gas Wells Nevada Natural Gas Gross Withdrawals and Production Natural Gas Gross Withdrawals from Shale

  8. Fact #564: March 30, 2009 Transportation and the Gross Domestic Product, 2007

    Broader source: Energy.gov [DOE]

    Transportation plays a major role in the U.S. economy. About 10% of the U.S. Gross Domestic Product (GDP) in 2007 is related to transportation. Housing, health care, and food are the only...

  9. EIA Energy Efficiency-Table 4e. Gross Output by Selected Industries...

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

    e Page Last Modified: May 2010 Table 4e. Gross Output1by Selected Industries, 1998, 2002, and 2006 (Billion 2000 Dollars 2) MECS Survey Years NAICS Subsector and Industry 1998 2002...

  10. EIA Energy Efficiency-Table 3e. Gross Output by Selected Industries...

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

    e Page Last Modified: May 2010 Table 3e. Gross Output1 by Selected Industries, 1998, 2002, and 2006 (Current Billion Dollars) MECS Survey Years NAICS Subsector and Industry 1998...

  11. Fact #621: May 3, 2010 Gross Vehicle Weight vs. Empty Vehicle Weight

    Office of Energy Efficiency and Renewable Energy (EERE)

    The gross weight of a vehicle (GVW) is the weight of the empty vehicle plus the weight of the maximum payload that the vehicle was designed to carry. In cars and small light trucks, the difference...

  12. The one-dimensional Gross-Pitaevskii equation and its some excitation states

    SciTech Connect (OSTI)

    Prayitno, T. B.

    2015-04-16

    We have derived some excitation states of the one-dimensional Gross-Pitaevskii equation coupled by the gravitational potential. The methods that we have used here are taken by pursuing the recent work of Kivshar et. al. by considering the equation as a macroscopic quantum oscillator. To obtain the states, we have made the appropriate transformation to reduce the three-dimensional Gross-Pitaevskii equation into the one-dimensional Gross-Pitaevskii equation and applying the time-independent perturbation theory in the general solution of the one-dimensional Gross-Pitaevskii equation as a linear superposition of the normalized eigenfunctions of the Schrödinger equation for the harmonic oscillator potential. Moreover, we also impose the condition by assuming that some terms in the equation should be so small in order to preserve the use of the perturbation method.

  13. 23 V.S.A. Section 1392 Gross Weight Limits on Highways | Open...

    Open Energy Info (EERE)

    Section 1392 Gross Weight Limits on HighwaysLegal Abstract Statute establishes the motor vehicle weight, load size, not to exceed 80,000 pounds without a permit. Published NA...

  14. Economic Effects of High Oil Prices (released in AEO2006)

    Reports and Publications (EIA)

    2006-01-01

    The Annual Energy Outlook 2006 projections of future energy market conditions reflect the effects of oil prices on the macroeconomic variables that affect oil demand, in particular, and energy demand in general. The variables include real gross domestic product (GDP) growth, inflation, employment, exports and imports, and interest rates.

  15. Badging, Real ID

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

    Office » Badging, Real ID Badging, Real ID Effective Nov. 3, 2014, the Lab will implement requirements of the REAL ID Act. Contact Badge Office (505) 667-6901 Email Badge requirements US citizen employees must present a photo ID and proof of US citizenship. See Security Smart on Proof of United States Citizenship for the Badge Office (pdf). Foreign national guests and employees must have an approved visit and present a valid passport and documentation of US legal status and work authorizations.

  16. ,"Texas--State Offshore Natural Gas Gross Withdrawals (MMcf)"

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1060_rtxsf_2a.xls"

  17. ,"US--Federal Offshore Natural Gas Gross Withdrawals (MMcf)"

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

    Federal Offshore Natural Gas Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","US--Federal Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  18. ,"US--State Offshore Natural Gas Gross Withdrawals (MMcf)"

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

    State Offshore Natural Gas Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","US--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

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

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1060_ralsf_2a.xls"

  20. ,"Alaska--State Offshore Natural Gas Gross Withdrawals (MMcf)"

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1060_raksf_2a.xls"

  1. ,"California--State Offshore Natural Gas Gross Withdrawals (MMcf)"

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  2. ,"Federal Offshore California Natural Gas Gross Withdrawals (MMcf)"

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore California Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  3. ,"Federal Offshore Gulf of Mexico Natural Gas Gross Withdrawals and Production"

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

    Gulf of Mexico Natural Gas Gross Withdrawals and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore Gulf of Mexico Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1997" ,"Release Date:","4/29/2016" ,"Next Release

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

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Alabama Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  5. ,"Federal Offshore--Louisiana Natural Gas Gross Withdrawals (MMcf)"

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Louisiana Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  6. ,"Federal Offshore--Texas Natural Gas Gross Withdrawals (MMcf)"

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

    Natural Gas Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore--Texas Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  7. ,"Louisiana--State Offshore Natural Gas Gross Withdrawals (MMcf)"

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

    Gross Withdrawals (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana--State Offshore Natural Gas Gross Withdrawals (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  8. Gross error detection and stage efficiency estimation in a separation process

    SciTech Connect (OSTI)

    Serth, R.W.; Srikanth, B. . Dept. of Chemical and Natural Gas Engineering); Maronga, S.J. . Dept. of Chemical and Process Engineering)

    1993-10-01

    Accurate process models are required for optimization and control in chemical plants and petroleum refineries. These models involve various equipment parameters, such as stage efficiencies in distillation columns, the values of which must be determined by fitting the models to process data. Since the data contain random and systematic measurement errors, some of which may be large (gross errors), they must be reconciled to obtain reliable estimates of equipment parameters. The problem thus involves parameter estimation coupled with gross error detection and data reconciliation. MacDonald and Howat (1988) studied the above problem for a single-stage flash distillation process. Their analysis was based on the definition of stage efficiency due to Hausen, which has some significant disadvantages in this context, as discussed below. In addition, they considered only data sets which contained no gross errors. The purpose of this article is to extend the above work by considering alternative definitions of state efficiency and efficiency estimation in the presence of gross errors.

  9. Real ID Act in brief

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

    Real Estate Approvals Real Estate Approvals Real Estate Approvals Policy Flash 2011-61, Acquisition Guide Chapter 17.3, Acquisition, Use, and Disposal of Real Estate (attachment)

    Visitors » Badging, Badge Office » Real ID Act in brief Real ID Act in brief Effective Nov. 3, 2014, the Lab will implement requirements of the REAL ID Act. Contact Badge Office (505) 667-6901 Email REAL ID Act in brief REAL ID is a coordinated effort by the states and the Federal Government to improve the

  10. Real Property Asset Management

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

    2003-09-24

    The directive establishes an integrated corporate-level, performance based approach to the life-cycle management of our real property assets. It links real property asset planning, programming, budgeting and evaluation to the Department's multi-faceted missions. Successful implementation of this order will enable the Department to carry out our stewardship responsibilities, and will ensure that our facilities and infrastructure are properly sized and in a condition to meet our mission requirements today and in the future. Chg 1, dated 2-8-08. Chg 2, dated 4-25-11

  11. Real Property Asset Management

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

    2003-09-24

    The directive establishes an integrated corporate-level, performance based approach to the life-cycle management of our real property assets. It links real property asset planning, programming, budgeting and evaluation to the Department's multi-faceted missions. Successful implementation of this order will enable the Department to carry out our stewardship responsibilities, and will ensure that our facilities and infrastructure are properly sized and in a condition to meet our mission requirements today and in the future. Cancels: DOE O 430.1A. Chg 1, dated 2-8-08. Chg 2, dated 4-25-11

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

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

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

  13. Alaska--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Alaska--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 72,813 71,946 1980's 63,355 71,477 66,852 68,776 68,315 62,454 63,007 69,656 101,440 122,595 1990's 144,064 171,665 216,377 233,198 224,301 113,552 126,051 123,854 133,111 125,841 2000's 263,958 262,937 293,580 322,010 334,125 380,568 354,816 374,204 388,188 357,490 2010's 370,148 364,702 307,306

  14. Federal Offshore--Texas Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) Federal Offshore--Texas Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 88,258 249,255 554,076 1980's 696,181 775,351 875,204 844,711 909,778 834,870 1,054,537 1,232,554 1,278,548 1,346,940 1990's 1,447,164 1,396,001 1,332,883 1,276,099 1,308,154 1,283,493 1,338,413 1,286,539 1,180,967 1,157,128 2000's 1,136,062 NA NA NA NA NA NA NA NA NA 2010's NA NA 0 0 0 - = No Data

  15. US--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet)

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

    Gross Withdrawals (Million Cubic Feet) US--State Offshore Natural Gas Gross Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 755,671 780,911 1980's 747,743 702,765 693,177 552,610 513,279 446,237 403,050 406,377 434,211 459,617 1990's 462,652 458,800 552,294 607,435 704,469 489,576 597,239 590,815 615,249 558,692 2000's 655,609 678,580 696,905 710,240 680,911 684,671 629,652 618,042 653,704 586,953 2010's 575,601 549,151 489,505

  16. ASYMPTOTICALLY FREE GAUGE THEORIES - I* David J. Gross+ National Accelerator Laboratory

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

    national accelerator laboratory NAL-PUB-73/49-THY July, 1973 ASYMPTOTICALLY FREE GAUGE THEORIES - I* David J. Gross+ National Accelerator Laboratory and Joseph Henry Laboratories Princeton University Princeton, New Jersey 08540 and Frank Wilczek Joseph Henry Laboratories Princeton University Princeton, New Jersey 08540 * Research supported in part by the United States Air Force Office of Scientific Research under Contract F-44620-71-6-0180 t Alfred P. Sloan Foundation Research Fellow 2% Oaerated

  17. Real Estate Approvals | Department of Energy

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

    Real Estate Approvals Real Estate Approvals Real Estate Approvals Policy Flash 2011-61, Acquisition Guide Chapter 17.3, Acquisition, Use, and Disposal of Real Estate (attachment)

  18. Real Estate Approvals | Department of Energy

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

    Real Estate Approvals Real Estate Approvals Real Estate Approvals Policy Flash 2011-61, Acquisition Guide Chapter 17.3, Acquisition, Use, and Disposal of Real Estate (attachment)

  19. Macroeconomic Activity Module

    Gasoline and Diesel Fuel Update (EIA)

    of employment by industry is industrial output. Both current and lagged output values enter in the employment specification, reflecting the tendency of firms to hire employees in...

  20. Technology survey for real-time monitoring of plutonium in a vitrifier off-gas system

    SciTech Connect (OSTI)

    Berg, J.M.; Veirs, D.K.

    1996-01-01

    We surveyed several promising measurement technologies for the real-time monitoring of plutonium in a vitrifier off-gas system. The vitrifier is being developed by Westinghouse Savannah River Corp. and will be used to demonstrate vitrification of plutonium dissolved in nitric acid for fissile material disposition. The risk of developing a criticality hazard in the off-gas processing equipment can be managed by using available measurement technologies. We identified several potential technologies and methods for detecting plutonium that are sensitive enough to detect the accumulation of a mass sufficient to form a criticality hazard. We recommend gross alpha-monitoring technologies as the most promising option for Westinghouse Savannah River Corp. to consider because that option appears to require the least additional development. We also recommend further consideration for several other technologies because they offer specific advantages and because gross alpha-monitoring could prove unsuitable when tested for this specific application.

  1. Real time Faraday spectrometer

    DOE Patents [OSTI]

    Smith, Jr., Tommy E. (Fremont, CA); Struve, Kenneth W. (Albuquerque, NM); Colella, Nicholas J. (Livermore, CA)

    1991-01-01

    This invention uses a dipole magnet to bend the path of a charged particle beam. As the deflected particles exit the magnet, they are spatially dispersed in the bend-plane of the magnet according to their respective momenta and pass to a plurality of chambers having Faraday probes positioned therein. Both the current and energy distribution of the particles is then determined by the non-intersecting Faraday probes located along the chambers. The Faraday probes are magnetically isolated from each other by thin metal walls of the chambers, effectively providing real time current-versus-energy particle measurements.

  2. ,"Maryland Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  3. ,"Michigan Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  4. ,"Mississippi Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  5. ,"Missouri Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  6. ,"Montana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  7. ,"Nebraska Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  8. ,"New Mexico Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1989" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  9. ,"New Mexico Natural Gas Gross Withdrawals from Gas Wells (MMcf)"

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

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

  10. ,"New Mexico Natural Gas Gross Withdrawals from Oil Wells (MMcf)"

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

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

  11. ,"New Mexico Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  12. ,"New York Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

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

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

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

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

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

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

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

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

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

  16. ,"Ohio Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  17. ,"Oklahoma Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  18. ,"Pennsylvania Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1991" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  19. ,"Pennsylvania Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

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

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

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

  1. ,"Tennessee Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  2. ,"Texas Natural Gas Gross Withdrawals Total Offshore (MMcf)"

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

    Total Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1090_stx_2a.xls"

  3. ,"Texas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  4. ,"U.S. Natural Gas Gross Withdrawals Offshore (MMcf)"

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

    Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Gross Withdrawals Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1090_nus_2a.xls" ,"Available

  5. ,"Utah Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  6. ,"Virginia Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  7. ,"West Virginia Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

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

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

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

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

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

    Total Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1090_sal_2a.xls"

  10. ,"Alaska Natural Gas Gross Withdrawals Total Offshore (MMcf)"

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

    Total Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1090_sak_2a.xls"

  11. ,"California Natural Gas Gross Withdrawals Total Offshore (MMcf)"

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

    Total Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1090_sca_2a.xls"

  12. ,"California Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1989" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  13. ,"California Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  14. ,"Colorado Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1989" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  15. ,"Colorado Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  16. ,"Florida Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1989" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  17. ,"Florida Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  18. ,"Illinois Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1991" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  19. ,"Illinois Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  20. ,"Indiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  1. ,"Kansas Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1989" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  2. ,"Kansas Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  3. ,"Kentucky Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  4. ,"Louisiana Natural Gas Gross Withdrawals Total Offshore (MMcf)"

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

    Total Offshore (MMcf)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Gross Withdrawals Total Offshore (MMcf)",1,"Annual",2014 ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File Name:","na1090_sla_2a.xls"

  5. ,"Louisiana Natural Gas Gross Withdrawals and Production"

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

    and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Gross Withdrawals and Production",10,"Monthly","2/2016","1/15/1989" ,"Release Date:","4/29/2016" ,"Next Release Date:","5/31/2016" ,"Excel File

  6. ,"Louisiana Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet)"

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

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

  7. Real time automated inspection

    DOE Patents [OSTI]

    Fant, K.M.; Fundakowski, R.A.; Levitt, T.S.; Overland, J.E.; Suresh, B.R.; Ulrich, F.W.

    1985-05-21

    A method and apparatus are described relating to the real time automatic detection and classification of characteristic type surface imperfections occurring on the surfaces of material of interest such as moving hot metal slabs produced by a continuous steel caster. A data camera transversely scans continuous lines of such a surface to sense light intensities of scanned pixels and generates corresponding voltage values. The voltage values are converted to corresponding digital values to form a digital image of the surface which is subsequently processed to form an edge-enhanced image having scan lines characterized by intervals corresponding to the edges of the image. The edge-enhanced image is thresholded to segment out the edges and objects formed by the edges by interval matching and bin tracking. Features of the objects are derived and such features are utilized to classify the objects into characteristic type surface imperfections. 43 figs.

  8. Real time automated inspection

    DOE Patents [OSTI]

    Fant, Karl M.; Fundakowski, Richard A.; Levitt, Tod S.; Overland, John E.; Suresh, Bindinganavle R.; Ulrich, Franz W.

    1985-01-01

    A method and apparatus relating to the real time automatic detection and classification of characteristic type surface imperfections occurring on the surfaces of material of interest such as moving hot metal slabs produced by a continuous steel caster. A data camera transversely scans continuous lines of such a surface to sense light intensities of scanned pixels and generates corresponding voltage values. The voltage values are converted to corresponding digital values to form a digital image of the surface which is subsequently processed to form an edge-enhanced image having scan lines characterized by intervals corresponding to the edges of the image. The edge-enhanced image is thresholded to segment out the edges and objects formed by the edges are segmented out by interval matching and bin tracking. Features of the objects are derived and such features are utilized to classify the objects into characteristic type surface imperfections.

  9. Real-Time Benchmark Suite

    Energy Science and Technology Software Center (OSTI)

    1992-01-17

    This software provides a portable benchmark suite for real time kernels. It tests the performance of many of the system calls, as well as the interrupt response time and task response time to interrupts. These numbers provide a baseline for comparing various real-time kernels and hardware platforms.

  10. Radiation Levels in Real Time?

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

    Levels in Real Time? There's an App for That Gamma radiation levels in the southern Nevada area will soon be accessible around the world at the touch of a finger. Makers of the ...

  11. Other States Natural Gas Gross Withdrawals from Oil Wells (Million Cubic

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

    Feet) Oil Wells (Million Cubic Feet) Other States Natural Gas Gross Withdrawals from Oil Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 3,459 3,117 3,336 1,781 1,806 1,881 1,841 1,820 1,781 1,699 1,247 1,228 1992 4,284 3,872 4,141 4,027 4,047 3,883 3,964 3,957 3,892 4,169 4,146 4,334 1993 4,123 3,693 4,049 3,865 3,942 3,786 3,915 3,924 3,861 4,146 4,114 4,200 1994 3,639 3,242 3,557 3,409 3,488 3,384 3,552 3,643 3,597 3,796 3,818 3,991 1995 3,937 3,524

  12. Other States Natural Gas Gross Withdrawals from Shale Gas (Million Cubic

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

    Feet) Shale Gas (Million Cubic Feet) Other States Natural Gas Gross Withdrawals from Shale Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 13,204 11,926 13,204 12,778 13,204 12,778 13,204 13,204 12,778 13,204 12,778 13,204 2008 12,755 11,932 12,755 12,343 12,755 12,343 12,755 12,755 12,343 12,755 12,343 12,755 2009 12,222 11,039 12,222 11,827 12,222 11,827 12,222 12,222 11,827 12,222 11,827 12,222 2010 11,842 10,659 11,705 11,180 11,541 11,189 11,357 11,589

  13. Failure of the gross theory of beta decay in neutron deficient nuclei

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

    Firestone, R. B.; Schwengner, R.; Zuber, K.

    2015-05-28

    The neutron deficient isotopes 117-121Xe, 117-124Cs, and 122-124Ba were produced by a beam of 28Si from the LBNL SuperHILAC on a target of natMo. The isotopes were mass separated and their beta decay schemes were measured with a Total Absorption Spectrometer (TAS). The beta strengths derived from these data decreased dramatically to levels above ≈1 MeV for the even-even decays; 3–4 MeV for even-Z, odd-N decays; 4–5 MeV for the odd-Z, even-N decays; and 7–8 MeV for the odd-Z, odd-N decays. The decreasing strength to higher excitation energies in the daughters contradicts the predictions of the Gross Theory of Betamore » Decay. The integrated beta strengths are instead found to be consistent with shell model predictions where the single-particle beta strengths are divided amoung many low-lying levels. The experimental beta strengths determined here have been used calculate the half-lives of 143 neutron deficient nuclei with Z=51–64 to a precision of 20% with respect to the measured values.« less

  14. Failure of the gross theory of beta decay in neutron deficient nuclei

    SciTech Connect (OSTI)

    Firestone, R. B.; Schwengner, R.; Zuber, K.

    2015-05-28

    The neutron deficient isotopes 117-121Xe, 117-124Cs, and 122-124Ba were produced by a beam of 28Si from the LBNL SuperHILAC on a target of natMo. The isotopes were mass separated and their beta decay schemes were measured with a Total Absorption Spectrometer (TAS). The beta strengths derived from these data decreased dramatically to levels above ?1 MeV for the even-even decays; 34 MeV for even-Z, odd-N decays; 45 MeV for the odd-Z, even-N decays; and 78 MeV for the odd-Z, odd-N decays. The decreasing strength to higher excitation energies in the daughters contradicts the predictions of the Gross Theory of Beta Decay. The integrated beta strengths are instead found to be consistent with shell model predictions where the single-particle beta strengths are divided amoung many low-lying levels. The experimental beta strengths determined here have been used calculate the half-lives of 143 neutron deficient nuclei with Z=5164 to a precision of 20% with respect to the measured values.

  15. Weak decay processes in pre-supernova core evolution within the gross theory

    SciTech Connect (OSTI)

    Ferreira, R. C.; Dimarco, A. J.; Samana, A. R.; Barbero, C. A.

    2014-03-20

    The beta decay and electron capture rates are of fundamental importance in the evolution of massive stars in a pre-supernova core. The beta decay process gives its contribution by emitting electrons in the plasma of the stellar core, thereby increasing pressure, which in turn increases the temperature. From the other side, the electron capture removes free electrons from the plasma of the star core contributing to the reduction of pressure and temperature. In this work we calculate the beta decay and electron capture rates in stellar conditions for 63 nuclei of relevance in the pre-supernova stage, employing Gross Theory as the nuclear model. We use the abundances calculated with the Saha equations in the hypothesis of nuclear statistical equilibrium to evaluate the time derivative of the fraction of electrons. Our results are compared with other evaluations available in the literature. They have shown to be one order less or equal than the calculated within other models. Our results indicate that these differences may influence the evolution of the star in the later stages of pre-supernova.

  16. Real Goods Solar Campbell | Open Energy Information

    Open Energy Info (EERE)

    Goods Solar Campbell Jump to: navigation, search Logo: Real Goods Solar Campbell Name: Real Goods Solar Campbell Address: 1624 Dell Avenue Place: Campbell, California Zip: 95008...

  17. Real Goods Solar Ukiah | Open Energy Information

    Open Energy Info (EERE)

    navigation, search Logo: Real Goods Solar Ukiah Name: Real Goods Solar Ukiah Address: 301 L Kunzler Ranch Rd Place: Ukiah, California Zip: 95482 Sector: Solar Year Founded: 1978...

  18. Colonia Real Estate | Open Energy Information

    Open Energy Info (EERE)

    Estate Jump to: navigation, search Name: Colonia Real Estate Place: Germany Product: German property developer. References: Colonia Real Estate1 This article is a stub. You can...

  19. Real Property and Asset Management

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

    2003-09-24

    The directive establishes an integrated corporate-level, performance based approach to the life-cycle management of our real property assets. It links real property asset planning, programming, budgeting and evaluation to the Department's multi-faceted missions. Successful implementation of this order will enable the Department to carry out stewardship responsibilities, and will ensure that facilities and infrastructure are properly sized and in a condition to meet our mission requirements today and in the future. Supersedes DOE O 430.1A Chg 1.

  20. DISPOSAL OF EXCESS REAL PROPERTY

    Office of Legacy Management (LM)

    . . : '* FEB 1972. : . .. - .. ..' *. ,; --.. . *..,,, :. :-, -, ' :.: t:-,...: : ,. -.". .- v ;; -'.1.;, ; . , DISPOSAL OF EXCESS REAL PROPERTY PARCEL 228 " . ;: 'i: .-. ' ' . -- - , *: , ; b;- .;.= ' i .; ,s ' ; .: '- :. ,S,, - ; * ^. ',. *. ;;: : ' " . - .. ,'~', approval is requested to report as excess a 20-acre;tract of landand improvements. The tract is located within the Oak Ridge comnunity near the intersection of Melton Lake Drive and the Oak Ridge Turnpike and is

  1. Join the Commercial Real Estate Energy Alliance

    SciTech Connect (OSTI)

    2009-03-01

    This fact sheet describes the Commercial Real Estate Energy Alliance, it's membership, and activities.

  2. Building America: Making Real Progress

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

    America: Making Real Progress for U.S. Homes The U.S. Department of Energy (DOE) Building America Program conducts innovative housing research on energy efficiency to benefit the residential building industry and the public. The program has produced more than 100 innovations and accel- erated the adoption of energy-saving technologies. Since 1995, this work has helped households across the nation save up to $54 billion and avoid the emissions of 500 million tons of carbon dioxide. DOE esti-

  3. Radiation Levels in Real Time?

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

    Levels in Real Time? There's an App for That! Gamma radiation levels in the southern Nevada area will soon be accessible around the world at the touch of a finger. Makers of the cell phone application EcoData: Radiation are expanding their global network of radiation monitoring stations to include up-to-date readings from the Community Environmental Monitoring Program (CEMP) based out of southern Nevada. The CEMP was established in 1981 to monitor manmade and natural radiation levels surrounding

  4. REAL ESTATE PROPERTY GUIDE 2014 | Department of Energy

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

    4 REAL ESTATE PROPERTY GUIDE 2014 PDF icon Real Estate Desk Guide - 2014 update.pdf More Documents & Publications 2013 Real Property Desk Guide REAL ESTATE PROPERTY GUIDE 2013 2015 Federal Real Property Council Reporting Guidance

  5. Bully Real Estate AS | Open Energy Information

    Open Energy Info (EERE)

    Real Estate AS Jump to: navigation, search Name: Bully Real Estate AS Place: Praha 2, Czech Republic Zip: 120 00 Product: Czech Republic-based company going ahead as a...

  6. Real Goods Solar Denver | Open Energy Information

    Open Energy Info (EERE)

    Real Goods Solar Denver Name: Real Goods Solar Denver Address: 7003 E. 47th Ave Dr, Unit 700 Place: Denver, Colorado Zip: 80218 Sector: Solar Year Founded: 1978 Phone Number:...

  7. Real time infrared aerosol analyzer

    DOE Patents [OSTI]

    Johnson, Stanley A.; Reedy, Gerald T.; Kumar, Romesh

    1990-01-01

    Apparatus for analyzing aerosols in essentially real time includes a virtual impactor which separates coarse particles from fine and ultrafine particles in an aerosol sample. The coarse and ultrafine particles are captured in PTFE filters, and the fine particles impact onto an internal light reflection element. The composition and quantity of the particles on the PTFE filter and on the internal reflection element are measured by alternately passing infrared light through the filter and the internal light reflection element, and analyzing the light through infrared spectrophotometry to identify the particles in the sample.

  8. Simulation of gross and net erosion of high-Z materials in the DIII-D divertor

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

    Wampler, William R.; Ding, R.; Stangeby, P. C.; Elder, J. D.; Tskhakaya, D.; Kirschner, A.; Guo, H. Y.; Chan, V. S.; McLean, A. G.; Snyder, P. B.; et al

    2015-12-17

    The three-dimensional Monte Carlo code ERO has been used to simulate dedicated DIII-D experiments in which Mo and W samples with different sizes were exposed to controlled and well-diagnosed divertor plasma conditions to measure the gross and net erosion rates. Experimentally, the net erosion rate is significantly reduced due to the high local redeposition probability of eroded high-Z materials, which according to the modelling is mainly controlled by the electric field and plasma density within the Chodura sheath. Similar redeposition ratios were obtained from ERO modelling with three different sheath models for small angles between the magnetic field and themore » material surface, mainly because of their similar mean ionization lengths. The modelled redeposition ratios are close to the measured value. Decreasing the potential drop across the sheath can suppress both gross and net erosion because sputtering yield is decreased due to lower incident energy while the redeposition ratio is not reduced owing to the higher electron density in the Chodura sheath. Taking into account material mixing in the ERO surface model, the net erosion rate of high-Z materials is shown to be strongly dependent on the carbon impurity concentration in the background plasma; higher carbon concentration can suppress net erosion. As a result, the principal experimental results such as net erosion rate and profile and redeposition ratio are well reproduced by the ERO simulations.« less

  9. Real time analysis under EDS

    SciTech Connect (OSTI)

    Schneberk, D.

    1985-07-01

    This paper describes the analysis component of the Enrichment Diagnostic System (EDS) developed for the Atomic Vapor Laser Isotope Separation Program (AVLIS) at Lawrence Livermore National Laboratory (LLNL). Four different types of analysis are performed on data acquired through EDS: (1) absorption spectroscopy on laser-generated spectral lines, (2) mass spectrometer analysis, (3) general purpose waveform analysis, and (4) separation performance calculations. The information produced from this data includes: measures of particle density and velocity, partial pressures of residual gases, and overall measures of isotope enrichment. The analysis component supports a variety of real-time modeling tasks, a means for broadcasting data to other nodes, and a great degree of flexibility for tailoring computations to the exact needs of the process. A particular data base structure and program flow is common to all types of analysis. Key elements of the analysis component are: (1) a fast access data base which can configure all types of analysis, (2) a selected set of analysis routines, (3) a general purpose data manipulation and graphics package for the results of real time analysis. Each of these components are described with an emphasis upon how each contributes to overall system capability. 3 figs.

  10. Real Time Pricing and the Real Live Firm

    SciTech Connect (OSTI)

    Moezzi, Mithra; Goldman, Charles; Sezgen, Osman; Bharvirkar, Ranjit; Hopper, Nicole

    2004-05-26

    Energy economists have long argued the benefits of real time pricing (RTP) of electricity. Their basis for modeling customers response to short-term fluctuations in electricity prices are based on theories of rational firm behavior, where management strives to minimize operating costs and optimize profit, and labor, capital and energy are potential substitutes in the firm's production function. How well do private firms and public sector institutions operating conditions, knowledge structures, decision-making practices, and external relationships comport with these assumptions and how might this impact price response? We discuss these issues on the basis of interviews with 29 large (over 2 MW) industrial, commercial, and institutional customers in the Niagara Mohawk Power Corporation service territory that have faced day-ahead electricity market prices since 1998. We look at stories interviewees told about why and how they respond to RTP, why some customers report that they can't, and why even if they can, they don't. Some firms respond as theorized, and we describe their load curtailment strategies. About half of our interviewees reported that they were unable to either shift or forego electricity consumption even when prices are high ($0.50/kWh). Reasons customers gave for why they weren't price-responsive include implicit value placed on reliability, pricing structures, lack of flexibility in adjusting production inputs, just-in-time practices, perceived barriers to onsite generation, and insufficient time. We draw these observations into a framework that could help refine economic theory of dynamic pricing by providing real-world descriptions of how firms behave and why.

  11. 2015 Federal Real Property Council Reporting Guidance | Department...

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

    2015 Federal Real Property Council Reporting Guidance 2015 Federal Real Property Council Reporting Guidance Real Property Reporting: EO 13327 requires agencies to report annually ...

  12. In-Situ, Real Time Measurement of Elemental Constituents | Department...

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

    In-Situ, Real Time Measurement of Elemental Constituents In-Situ, Real Time Measurement of Elemental Constituents New Laser System Provides Real-Time Measurements for Improved ...

  13. Student's algorithm solves real-world problem

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

    Student's algorithm solves real-world problem Supercomputing Challenge: student's algorithm solves real-world problem Students learn how to use powerful computers to analyze, model, and solve real-world problems. April 3, 2012 Jordon Medlock of Albuquerque's Manzano High School won the 2012 Lab-sponsored Supercomputing Challenge Jordon Medlock of Albuquerque's Manzano High School won the 2012 Lab-sponsored Supercomputing Challenge by creating a computer algorithm that automates the process of

  14. Real Goods Solar Fullerton | Open Energy Information

    Open Energy Info (EERE)

    Goods Solar Fullerton Name: Real Goods Solar Fullerton Address: 2466 E Fender Ave Unit F Place: Fullerton, California Zip: 92831 Sector: Solar Year Founded: 1989 Phone Number:...

  15. Acquisition, Use, and Disposal of Real Estate

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

    Acquisition of Capital Assets, or current version DOE Order 430.1B, Real Property Asset Management, or current version Overview This section provides internal Departmental ...

  16. Real States EOOD | Open Energy Information

    Open Energy Info (EERE)

    real estate company active in PV project development. Coordinates: 42.697085, 23.32455 Show Map Loading map... "minzoom":false,"mappingservice":"googlemaps3","type":"...

  17. REAL ESTATE PROPERTY GUIDE 2014 | Department of Energy

    Energy Savers [EERE]

    REAL ESTATE PROPERTY GUIDE 2014 PDF icon Real Estate Desk Guide - 2014 update.pdf More Documents & Publications 2013 Real Property Desk Guide REAL ESTATE PROPERTY GUIDE 2013 OPAM ...

  18. REAL ESTATE PROPERTY GUIDE 2013 | Department of Energy

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

    3 REAL ESTATE PROPERTY GUIDE 2013 PDF icon Real Estate Desk Guide - 2013 update.pdf More Documents & Publications REAL ESTATE PROPERTY GUIDE 2014 2013 Real Property Desk Guide OPAM Policy Acquisition Guides

  19. Chapter 12, Survey Design and Implementation Cross-Cutting Protocols for Estimating Gross Savings: The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures

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

    Chapter 12: Survey Design and Implementation Cross-Cutting Protocols for Estimating Gross Savings Robert Baumgartner, Tetra Tech Subcontract Report NREL/SR-7A30-53827 April 2013 The Uniform Methods Project: Methods for Determining Energy Efficiency Savings for Specific Measures 12 - 1 Chapter 12 - Table of Contents 1 Introduction ............................................................................................................................ 2 2 The Total Survey Error Framework

  20. Solar Real-Time Pricing: Is Real-Time Electricity Pricing Beneficial...

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

    PDF icon Solar Real-Time Pricing: Is Real-Time Electriciy Pricing Beneficial to Solar PV in New York City? More Documents & Publications FERC Presendation: Demand Response as Power ...

  1. Real Performance for Real Buildings - 2014 BTO Peer Review | Department of

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

    Energy Real Performance for Real Buildings - 2014 BTO Peer Review Real Performance for Real Buildings - 2014 BTO Peer Review Presenter: Shanti Pless, National Renewable Energy Laboratory This project aims to develop deployable resources to assist building decision makers in understanding and replicating the benefits of using measureable energy performance targets to better connect design and operations. By using energy modeling to produce whole-building energy impact ranges, this project

  2. Senior Real Property Officer (SRPO) Responsibilities About Senior Real Property Officers (SRPO)

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

    Senior Real Property Officer (SRPO) Responsibilities About Senior Real Property Officers (SRPO) The SRPO is a senior-level manager who develops and implements agency asset management plans. The SRPO is responsible for ensuring that the asset management plan meets the following requirements: Identify and categorize real property owned, leased, or managed by the SRPO's agency Identify and pursue goals with appropriate deadlines for real property and measure agency progress Prioritize actions to be

  3. Sensitivity of Global Terrestrial Gross Primary Production to Hydrologic States Simulated by the Community Land Model Using Two Runoff Parameterizations

    SciTech Connect (OSTI)

    Lei, Huimin; Huang, Maoyi; Leung, Lai-Yung R.; Yang, Dawen; Shi, Xiaoying; Mao, Jiafu; Hayes, Daniel J.; Schwalm, C.; Wei, Yaxing; Liu, Shishi

    2014-09-01

    The terrestrial water and carbon cycles interact strongly at various spatio-temporal scales. To elucidate how hydrologic processes may influence carbon cycle processes, differences in terrestrial carbon cycle simulations induced by structural differences in two runoff generation schemes were investigated using the Community Land Model 4 (CLM4). Simulations were performed with runoff generation using the default TOPMODEL-based and the Variable Infiltration Capacity (VIC) model approaches under the same experimental protocol. The comparisons showed that differences in the simulated gross primary production (GPP) are mainly attributed to differences in the simulated leaf area index (LAI) rather than soil moisture availability. More specifically, differences in runoff simulations can influence LAI through changes in soil moisture, soil temperature, and their seasonality that affect the onset of the growing season and the subsequent dynamic feedbacks between terrestrial water, energy, and carbon cycles. As a result of a relative difference of 36% in global mean total runoff between the two models and subsequent changes in soil moisture, soil temperature, and LAI, the simulated global mean GPP differs by 20.4%. However, the relative difference in the global mean net ecosystem exchange between the two models is small (2.1%) due to competing effects on total mean ecosystem respiration and other fluxes, although large regional differences can still be found. Our study highlights the significant interactions among the water, energy, and carbon cycles and the need for reducing uncertainty in the hydrologic parameterization of land surface models to better constrain carbon cycle modeling.

  4. Business Models Guide: Real Estate Agent | Department of Energy

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

    Models Guide: Real Estate Agent Business Models Guide: Real Estate Agent With excellent marketing skills, a keen understanding of financing options, and a broad knowledge of the industry, real estate agents are natural advocates for smart energy efficiency upgrades. PDF icon Business Models Guide: Real Estate Agent More Documents & Publications Working with the Real Estate Sector Business Models and Case Examples for Working with the Real Estate Sector Trends in Real Estate and Energy

  5. Real time sensor for therapeutic radiation delivery

    DOE Patents [OSTI]

    Bliss, Mary; Craig, Richard A.; Reeder, Paul L.

    1998-01-01

    The invention is a real time sensor for therapeutic radiation. A probe is placed in or near the patient that senses in real time the dose at the location of the probe. The strength of the dose is determined by either an insertion or an exit probe. The location is determined by a series of vertical and horizontal sensing elements that gives the operator a real time read out dose location relative to placement of the patient. The increased accuracy prevents serious tissue damage to the patient by preventing overdose or delivery of a dose to a wrong location within the body.

  6. Real time sensor for therapeutic radiation delivery

    DOE Patents [OSTI]

    Bliss, M.; Craig, R.A.; Reeder, P.L.

    1998-01-06

    The invention is a real time sensor for therapeutic radiation. A probe is placed in or near the patient that senses in real time the dose at the location of the probe. The strength of the dose is determined by either an insertion or an exit probe. The location is determined by a series of vertical and horizontal sensing elements that gives the operator a real time read out dose location relative to placement of the patient. The increased accuracy prevents serious tissue damage to the patient by preventing overdose or delivery of a dose to a wrong location within the body. 14 figs.

  7. Natural Gas Gross Withdrawals

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

    Federal Offshore Gulf of Mexico 122,038 116,075 106,086 112,137 108,556 101,200 1997-2016 Kansas 23,819 23,559 22,451 22,896 22,535 20,900 1991-2016 Louisiana 164,270 166,973 ...

  8. What is Gross Up?

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

    reimbursement amount. You do not see the money in your pocket, but rather it offsets taxes that would have reduced the payment if we had not paid you the additional amount. For...

  9. Natural Gas Gross Withdrawals

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

    2010 2011 2012 2013 2014 2015 View History U.S. 26,816,085 28,479,026 29,542,313 29,522,551 31,345,546 32,965,038 1936-2015 U.S. Offshore 2,875,945 2,416,644 2,044,643 1,859,469 1,818,267 1977-2014 U.S. State Offshore 575,601 549,151 489,505 505,318 514,809 1978-2014 Federal Offshore U.S. 2,300,344 1,867,492 1,555,138 1,354,151 1,303,458 1977-2014 Alaska 3,197,100 3,162,922 3,164,791 3,215,358 3,168,566 3,175,163 1967-2015 Alaska Onshore 2,826,952 2,798,220 2,857,485 2,882,956 2,803,429

  10. Natural Gas Gross Withdrawals

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

    Sep-15 Oct-15 Nov-15 Dec-15 Jan-16 Feb-16 View History U.S. 2,750,252 2,817,792 2,743,783 2,823,547 2,823,205 2,668,567 1973-2016 Alaska 261,150 279,434 289,770 304,048 298,809 273,296 1991-2016 Arkansas 81,546 83,309 79,289 80,509 77,827 71,965 1991-2016 California 18,928 18,868 18,261 18,749 18,796 17,195 1991-2016 Colorado 138,325 144,845 139,733 142,189 143,369 134,150 1991-2016 Federal Offshore Gulf of Mexico 122,038 116,075 106,086 112,137 108,556 101,200 1997-2016 Kansas 23,819 23,559

  11. Natural Gas Gross Withdrawals

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

    Monthly-Million Cubic Feet per Day Annual-Million Cubic Feet Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2010 2011 2012 2013 2014 2015 View History U.S. 26,816,085 28,479,026 29,542,313 29,522,551 31,345,546 32,965,038 1936-2015 U.S. Offshore 2,875,945 2,416,644 2,044,643 1,859,469 1,818,267 1977-2014 U.S. State Offshore 575,601 549,151 489,505 505,318 514,809 1978-2014 Federal Offshore U.S.

  12. Natural Gas Gross Withdrawals

    Gasoline and Diesel Fuel Update (EIA)

    Feet Monthly-Million Cubic Feet per Day Annual-Million Cubic Feet Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes...

  13. REAL TIME SYSTEM OPERATIONS 2006-2007

    SciTech Connect (OSTI)

    Eto, Joseph H.; Parashar, Manu; Lewis, Nancy Jo

    2008-08-15

    The Real Time System Operations (RTSO) 2006-2007 project focused on two parallel technical tasks: (1) Real-Time Applications of Phasors for Monitoring, Alarming and Control; and (2) Real-Time Voltage Security Assessment (RTVSA) Prototype Tool. The overall goal of the phasor applications project was to accelerate adoption and foster greater use of new, more accurate, time-synchronized phasor measurements by conducting research and prototyping applications on California ISO's phasor platform - Real-Time Dynamics Monitoring System (RTDMS) -- that provide previously unavailable information on the dynamic stability of the grid. Feasibility assessment studies were conducted on potential application of this technology for small-signal stability monitoring, validating/improving existing stability nomograms, conducting frequency response analysis, and obtaining real-time sensitivity information on key metrics to assess grid stress. Based on study findings, prototype applications for real-time visualization and alarming, small-signal stability monitoring, measurement based sensitivity analysis and frequency response assessment were developed, factory- and field-tested at the California ISO and at BPA. The goal of the RTVSA project was to provide California ISO with a prototype voltage security assessment tool that runs in real time within California ISO?s new reliability and congestion management system. CERTS conducted a technical assessment of appropriate algorithms, developed a prototype incorporating state-of-art algorithms (such as the continuation power flow, direct method, boundary orbiting method, and hyperplanes) into a framework most suitable for an operations environment. Based on study findings, a functional specification was prepared, which the California ISO has since used to procure a production-quality tool that is now a part of a suite of advanced computational tools that is used by California ISO for reliability and congestion management.

  14. Working with the Real Estate Sector | Department of Energy

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

    the Real Estate Sector Working with the Real Estate Sector Better Buildings Neighborhood Program Workforce Peer Exchange Call: Working with the Real Estate Sector, Call Slides and Discussion Summary, March 1, 2012. This call discussed effective strategies for working with the real estate sector. PDF icon Call Slides and Discussion Summary More Documents & Publications Trends in Real Estate and Energy Efficiency Mastermind Session: Connecting the Dots Between the Real Estate Market and

  15. Comparison of Real World Energy Consumption to Models and DOE...

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

    PDF icon Comparison of Real World Energy Consumption to Models and Department of Energy ... Vehicle Technologies Office Merit Review 2015: Analyzing Real-World Light Duty ...

  16. Real-space formulation of the electrostatic potential and total...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Real-space formulation of the electrostatic potential and total energy of solids Citation Details In-Document Search Title: Real-space formulation of the ...

  17. Business Models Guide: Real Estate Agent | Department of Energy

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

    Models Guide: Real Estate Agent Business Models Guide: Real Estate Agent With excellent marketing skills, a keen understanding of financing options, and a broad knowledge of the ...

  18. Working with Real Estate Home Inspectors, Exterminators, and...

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

    Working with Real Estate Home Inspectors, Exterminators, and Other "Nontraditional" Partners Working with Real Estate Home Inspectors, Exterminators, and Other "Nontraditional"...

  19. Mastermind Session: Connecting the Dots Between the Real Estate...

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

    More Documents & Publications Working with the Real Estate Sector Trends in Real Estate and Energy Efficiency Mastermind Session: Combining Energy Efficiency and Health Services

  20. Real Goods Solar Santa Cruz | Open Energy Information

    Open Energy Info (EERE)

    Cruz Jump to: navigation, search Logo: Real Goods Solar Santa Cruz Name: Real Goods Solar Santa Cruz Address: 1115 Thompson Avenue, 1 Place: Santa Cruz, California Zip: 95062...

  1. Real-Time Chemical Imaging of Bacterial Biofilm Development

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

    Real-Time Chemical Imaging of Bacterial Biofilm Development Real-Time Chemical Imaging of Bacterial Biofilm Development Print Wednesday, 25 August 2010 00:00 Scientists have ...

  2. Competition Provides Students with Real-World Engineering Experience...

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

    Competition Provides Students with Real-World Engineering Experience Competition Provides Students with Real-World Engineering Experience April 10, 2013 - 12:00am Addthis Fifteen...

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

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

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

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

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

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

  5. Real Goods Solar San Rafael | Open Energy Information

    Open Energy Info (EERE)

    Rafael Jump to: navigation, search Logo: Real Goods Solar San Rafael Name: Real Goods Solar San Rafael Address: 27 Simms Street Place: San Rafael, California Zip: 94901 Sector:...

  6. Capturing Energy Upgrades in the Real Estate Transaction | Department...

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

    Capturing Energy Upgrades in the Real Estate Transaction Capturing Energy Upgrades in the Real Estate Transaction Because green building techniques and products may impact the ...

  7. FY 2014 Real Property Data Related to Operations and Maintenance...

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

    Real Property Data Related to Operations and Maintenance Guidance FY 2014 Real Property Data Related to Operations and Maintenance Guidance PDF icon FY2014DataRelatedtoOperati...

  8. Steps to Establish a Real-Time Transmission Monitoring System...

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

    Steps to Establish a Real-Time Transmission Monitoring System for Transmission Owners and Operators within the Eastern and Western Interconnections Steps to Establish a Real-Time ...

  9. Genetically encoded sensors enable real-time observation of metabolite...

    Office of Scientific and Technical Information (OSTI)

    Genetically encoded sensors enable real-time observation of metabolite production Citation ... Title: Genetically encoded sensors enable real-time observation of metabolite production ...

  10. Development of Real-Time, Gas Quality Sensor Technology - Fact...

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

    Real-Time, Gas Quality Sensor Technology - Fact Sheet 2015 Development of Real-Time, Gas Quality Sensor Technology - Fact Sheet 2015 The Gas Technology Institute, in collaboration ...

  11. Trends in Real Estate and Energy Efficiency -- Update on Program...

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

    in Real Estate and Energy Efficiency -- Update on Program Experience Better Buildings Residential Network Program Sustainability Peer Exchange Call Series: Trends in Real Estate ...

  12. Advances in Integrating Energy Efficiency into the Real Estate...

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

    Advances in Integrating Energy Efficiency into the Real Estate Market (301) Advances in Integrating Energy Efficiency into the Real Estate Market (301) April 21

  13. Working with Real Estate Home Inspectors, Exterminators, and...

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

    Real Estate Home Inspectors, Exterminators, and Other "Nontraditional" Partners Working with Real Estate Home Inspectors, Exterminators, and Other "Nontraditional" Partners Better ...

  14. Trends in Real Estate and Energy Efficiency | Department of Energy

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

    Efficiency Trends in Real Estate and Energy Efficiency Better Buildings Residential Network Peer Exchange Call Series: Trends in Real Estate and Energy Efficiency, call slides and ...

  15. Real-Time Chemical Imaging of Bacterial Biofilm Development

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

    Real-Time Chemical Imaging of Bacterial Biofilm Development Print Scientists have ... The ability to image the chemical reactions in living cells in real time, especially in ...

  16. Tracking Living Cells as They Differentiate in Real Time

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

    Tracking Living Cells as They Differentiate in Real Time Print Protein phosphorylation ... cells, enabling them to follow cellular chemical changes in real time, without bias. ...

  17. Real Time Diagnostics for Algae-final-sm

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

    Real-time Monitoring And Diagnostics Detecting pathogens and predators to quickly recover ... Real-time Monitoring With Online Algal Reflectance Monitor System Researchers have ...

  18. Tracking Living Cells as They Differentiate in Real Time

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

    Tracking Living Cells as They Differentiate in Real Time Tracking Living Cells as They Differentiate in Real Time Print Thursday, 27 September 2012 00:00 Protein phosphorylation ...

  19. Wireless technology collects real-time information from oil and...

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

    Wireless technology collects real-time information from oil and gas wells Wireless technology collects real-time information from oil and gas wells The patented system delivers ...

  20. Distributed Intelligence Architecture for Real-Time Control,...

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

    Distributed Intelligence Architecture for Real-Time Control, Protection and Instrumentation Systems Architecture of complex, high-speed, Real-Time Instrumentation, Acquisition, Control ...

  1. Real and effective thermal equilibrium in artificial square spin...

    Office of Scientific and Technical Information (OSTI)

    Real and effective thermal equilibrium in artificial square spin ices Citation Details In-Document Search Title: Real and effective thermal equilibrium in artificial square spin ...

  2. Continuous, real time microwave plasma element sensor

    DOE Patents [OSTI]

    Woskov, P.P.; Smatlak, D.L.; Cohn, D.R.; Wittle, J.K.; Titus, C.H.; Surma, J.E.

    1995-12-26

    Microwave-induced plasma is described for continuous, real time trace element monitoring under harsh and variable conditions. The sensor includes a source of high power microwave energy and a shorted waveguide made of a microwave conductive, refractory material communicating with the source of the microwave energy to generate a plasma. The high power waveguide is constructed to be robust in a hot, hostile environment. It includes an aperture for the passage of gases to be analyzed and a spectrometer is connected to receive light from the plasma. Provision is made for real time in situ calibration. The spectrometer disperses the light, which is then analyzed by a computer. The sensor is capable of making continuous, real time quantitative measurements of desired elements, such as the heavy metals lead and mercury. 3 figs.

  3. Continuous, real time microwave plasma element sensor

    DOE Patents [OSTI]

    Woskov, Paul P.; Smatlak, Donna L.; Cohn, Daniel R.; Wittle, J. Kenneth; Titus, Charles H.; Surma, Jeffrey E.

    1995-01-01

    Microwave-induced plasma for continuous, real time trace element monitoring under harsh and variable conditions. The sensor includes a source of high power microwave energy and a shorted waveguide made of a microwave conductive, refractory material communicating with the source of the microwave energy to generate a plasma. The high power waveguide is constructed to be robust in a hot, hostile environment. It includes an aperture for the passage of gases to be analyzed and a spectrometer is connected to receive light from the plasma. Provision is made for real time in situ calibration. The spectrometer disperses the light, which is then analyzed by a computer. The sensor is capable of making continuous, real time quantitative measurements of desired elements, such as the heavy metals lead and mercury.

  4. Real-Time Occupancy Change Analyzer

    Energy Science and Technology Software Center (OSTI)

    2005-03-30

    The Real-Time Occupancy Change Analyzer (ROCA) produces an occupancy grid map of an environment around the robot, scans the environment to generate a current obstacle map relative to a current robot position, and converts the current obstacle map to a current occupancy grid map. Changes in the occupancy grid can be reported in real time to support a number of tracking capabilities. The benefit of ROCA is that rather than only providing a vector tomore » the detected change, it provides the actual x,y position of the change.« less

  5. In vivo real-time dosimetric verification in high dose rate prostate brachytherapy

    SciTech Connect (OSTI)

    Seymour, Erin L.; Downes, Simon J.; Fogarty, Gerald B.; Izard, Michael A.; Metcalfe, Peter

    2011-08-15

    Purpose: To evaluate the performance of a diode array in the routine verification of planned dose to points inside the rectum from prostate high dose rate (HDR) brachytherapy using a real-time planning system. Methods: A dosimetric study involving 28 patients was undertaken where measured doses received during treatment were compared to those calculated by the treatment planning system (TPS). After the ultrasound imaging required for treatment planning had been recorded, the ultrasound probe was replaced with a geometric replica that contained an 8 mm diameter cylindrical cavity in which a PTW diode array type 9112 was placed. The replica probe was then positioned inside the rectum with the individual diode positions determined using fluoroscopy. Dose was then recorded during the patients' treatment and compared to associated coordinates in the planning system. Results: Factors influencing diode response and experimental uncertainty were initially investigated to estimate the overall uncertainty involved in dose measurements, which was determined to be {+-}10%. Data was acquired for 28 patients' first fractions, 11 patients' second fractions, and 13 patients' third fractions with collection dependent upon circumstances. Deviations between the diode measurements and predicted values ranged from -42% to +35% with 71% of measurements experiencing less than a 10% deviation from the predicted values. If the {+-}10% measurement uncertainty was combined with a tolerated dose discrepancy of {+-}10% then over 95% of the diode results exhibited agreement with the calculated data to within {+-}20%. It must also be noted that when large dose discrepancies were apparent they did not necessarily occur for all five diodes in the one measurement. Conclusions: This technique provided a method that could be utilized to detect gross errors in dose delivery of a real-time prostate HDR plan. Limitations in the detection system used must be well understood if meaningful results are to be achieved.

  6. Real Time Grid Reliability Management 2005

    SciTech Connect (OSTI)

    Eto, Joe; Eto, Joe; Lesieutre, Bernard; Lewis, Nancy Jo; Parashar, Manu

    2008-07-07

    The increased need to manage California?s electricity grid in real time is a result of the ongoing transition from a system operated by vertically-integrated utilities serving native loads to one operated by an independent system operator supporting competitive energy markets. During this transition period, the traditional approach to reliability management -- construction of new transmission lines -- has not been pursued due to unresolved issues related to the financing and recovery of transmission project costs. In the absence of investments in new transmission infrastructure, the best strategy for managing reliability is to equip system operators with better real-time information about actual operating margins so that they can better understand and manage the risk of operating closer to the edge. A companion strategy is to address known deficiencies in offline modeling tools that are needed to ground the use of improved real-time tools. This project: (1) developed and conducted first-ever demonstrations of two prototype real-time software tools for voltage security assessment and phasor monitoring; and (2) prepared a scoping study on improving load and generator response models. Additional funding through two separate subsequent work authorizations has already been provided to build upon the work initiated in this project.

  7. A monotonicity conjecture for real cubic maps

    SciTech Connect (OSTI)

    Dawson, S.P.; Galeeva, R.; Milnor, J.; Tresser, C.

    1993-12-01

    This will be an outline of work in progress. We study the conjecture that the topological entropy of a real cubic map depends ``monotonely`` on its parameters, in the sense that each locus of constant entropy in parameter space is a connected set. This material will be presented in more detail in a later paper.

  8. Real-time distributed multimedia systems

    SciTech Connect (OSTI)

    Rahurkar, S.S.; Bourbakis, N.G.

    1996-12-31

    This paper presents a survey on distributed multimedia systems and discusses real-time issues. In particular, different subsystems are reviewed that impact on multimedia networking, the networking for multimedia, the networked multimedia systems, and the leading edge research and developments efforts and issues in networking.

  9. FY 2014 Federal Real Property Reporting Requirement | Department of Energy

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

    Federal Real Property Reporting Requirement FY 2014 Federal Real Property Reporting Requirement PDF icon FIMS FRPP FY 2014 Reporting Instructions Signed Sep 18 2014 .pdf More Documents & Publications Guidance for Fiscal Year 2015 Facilities Information Management System Data Validations FY09_Federal_Real_Property_Reporting_Requirements.pdf FY 2012 Federal Real Property Reporting Requirement

  10. Acquisition, Use, and Disposal of Real Estate | Department of Energy

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

    Acquisition, Use, and Disposal of Real Estate Acquisition, Use, and Disposal of Real Estate More Documents & Publications Acquisition Guide Chapter 17.3, Acquisition, Use, and Disposal of Real Estate OPAM Policy Acquisition Guides Acquisition, Use, and Disposal of Real Estate

  11. 2013 guidance fo real Property Inventory Reporting | Department of Energy

    Energy Savers [EERE]

    guidance fo real Property Inventory Reporting 2013 guidance fo real Property Inventory Reporting PDF icon SIGNED_FY13_Rpt_Instructions REV - 2013.08.15.pdf More Documents & Publications FY 2012 Federal Real Property Reporting Requirement FY09_Federal_Real_Property_Reporting_Requirements.pdf Guidance for Fiscal Year 2015 Facilities Information Management System Data Validations

  12. Acquisition, Use, and Disposal of Real Estate | Department of Energy

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

    Acquisition, Use, and Disposal of Real Estate Acquisition, Use, and Disposal of Real Estate PDF icon Acquisition, Use, and Disposal of Real Estate More Documents & Publications OPAM Policy Acquisition Guides Chapter 17 - Special Contracting Methods Acquisition Guide Chapter 17.3, Acquisition, Use, and Disposal of Real Estate

  13. FY 2012 Federal Real Property Reporting Requirement | Department of Energy

    Energy Savers [EERE]

    Federal Real Property Reporting Requirement FY 2012 Federal Real Property Reporting Requirement PDF icon FRPC Reporting Instructions 2012 final.pdf More Documents & Publications 2013 guidance fo real Property Inventory Reporting FY09_Federal_Real_Property_Reporting_Requirements.pdf Guidance for Fiscal Year 2015 Facilities Information Management System Data Validations

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

    Energy Savers [EERE]

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

  15. The RealGas and RealGasH2O Options of the TOUGH+ Code for the...

    Office of Scientific and Technical Information (OSTI)

    The RealGas and RealGasH2O Options of the TOUGH+ Code for the Simulation of Coupled Fluid ... Title: The RealGas and RealGasH2O Options of the TOUGH+ Code for the Simulation of Coupled ...

  16. Technical Qualifications for Treating Photovoltaic Assets as Real Property by Real Estate Investment Trusts (REITs)

    SciTech Connect (OSTI)

    Feldman, D.; Mendelsohn, M.; Coughlin, J.

    2012-06-01

    It has been proposed that Real Estate Investment Trusts (REITs) have the potential to lower the cost and increase the adoption of photovoltaic systems (PV) by offering a more attractive source of capital. The purpose of this paper is to explain the fundamental physical characteristics of PV and compare them to the characteristics of 'real' property, to help determine whether REITs can own PV systems.

  17. Real time gamma-ray signature identifier

    DOE Patents [OSTI]

    Rowland, Mark; Gosnell, Tom B.; Ham, Cheryl; Perkins, Dwight; Wong, James

    2012-05-15

    A real time gamma-ray signature/source identification method and system using principal components analysis (PCA) for transforming and substantially reducing one or more comprehensive spectral libraries of nuclear materials types and configurations into a corresponding concise representation/signature(s) representing and indexing each individual predetermined spectrum in principal component (PC) space, wherein an unknown gamma-ray signature may be compared against the representative signature to find a match or at least characterize the unknown signature from among all the entries in the library with a single regression or simple projection into the PC space, so as to substantially reduce processing time and computing resources and enable real-time characterization and/or identification.

  18. Visualizations for Real-time Pricing Demonstration

    SciTech Connect (OSTI)

    Marinovici, Maria C.; Hammerstrom, Janelle L.; Widergren, Steven E.; Dayley, Greg K.

    2014-10-13

    In this paper, the visualization tools created for monitoring the operations of a real-time pricing demonstration system that runs at a distribution feeder level are presented. The information these tools provide gives insights into demand behavior from automated price responsive devices, distribution feeder characteristics, impact of weather on system’s development, and other significant dynamics. Given the large number of devices that bid into a feeder-level real-time electricity market, new techniques are explored to summarize the present state of the system and contrast that with previous trends as well as future projections. To better understand the system behavior and correctly inform decision-making procedures, effective visualization of the data is imperative.

  19. Performance bound for real OTEC heat engines

    SciTech Connect (OSTI)

    Wu, C.

    1987-01-01

    Maximum power and efficiency at the maximum power of an irreversible OTEC heat engine are treated. When time is explicitly considered in the energy exchanges between the heat engine and its surroundings, it is found that there is a bound on the efficiency of the real OTEC heat engine at the maximum power condition. This bound can guide the evaluation of existing OTEC systems or influence design of future OTEC heat engines.

  20. American Road: Clean Diesels for the Real World | Department...

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

    American Road: Clean Diesels for the Real World American Road: Clean Diesels for the Real World Perspectives on clean diesels and public policy as it is developing in the US, as ...

  1. Efficient Real-Time Time-Dependent Density Functional Theory...

    Office of Scientific and Technical Information (OSTI)

    Efficient Real-Time Time-Dependent Density Functional Theory Method and its Application to a Collision of an Ion with a 2D Material Title: Efficient Real-Time Time-Dependent ...

  2. Ames Lab 101: Real-Time 3D Imaging

    ScienceCinema (OSTI)

    Zhang, Song

    2012-08-29

    Ames Laboratory scientist Song Zhang explains his real-time 3-D imaging technology. The technique can be used to create high-resolution, real-time, precise, 3-D images for use in healthcare, security, and entertainment applications.

  3. The Department's real property assets are vital to the accomplishment...

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

    The Department&8217;s real property assets are vital to the accomplishment of its mission The Department&8217;s real property assets are vital to the accomplishment of its mission ...

  4. Forming rotated SAR images by real-time motion compensation....

    Office of Scientific and Technical Information (OSTI)

    Forming rotated SAR images by real-time motion compensation. Citation Details In-Document Search Title: Forming rotated SAR images by real-time motion compensation. Proper waveform...

  5. Autonomous global sky monitoring with real-time robotic follow...

    Office of Scientific and Technical Information (OSTI)

    Conference: Autonomous global sky monitoring with real-time robotic follow-up Citation Details In-Document Search Title: Autonomous global sky monitoring with real-time robotic...

  6. Looking at Transistor Gate Oxide Formation in Real Time

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

    Looking at Transistor Gate Oxide Formation in Real Time Print The oxide gate layer is ... Now, for the first time, a group of researchers has obtained real-time oxidation results ...

  7. Real-Time Quantitative Imaging of Failure Events in Materials...

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

    Real-Time Quantitative Imaging of Failure Events in Materials Under Load at Temperatures Above 1,600 C Real-Time Quantitative Imaging of Failure Events in Materials Under Load at ...

  8. Figure ES2. Annual Indices of Real Disposable Income, Vehicle...

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

    ES2 Figure ES2. Annual Indices of Real Disposable Income, Vehicle-Miles Traveled, Consumer Price Index (CPI-U), and Real Average Retail Gasoline Price, 1978-2004, 1985100...

  9. Trends in Real Estate and Energy Efficiency | Department of Energy

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

    Efficiency Trends in Real Estate and Energy Efficiency Better Buildings Residential Network Peer Exchange Call Series: Trends in Real Estate and Energy Efficiency, call slides and discussion summary, January 22, 2015. PDF icon Call Slides and Discussion Summary More Documents & Publications DOE ZERH Webinar: Sales and Value Recognition of ZERH Working with the Real Estate Sector Mastermind Session: Connecting the Dots Between the Real Estate Market and Residential

  10. Workplace Charging Challenge Partner: El Camino Real Charter High School |

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

    Department of Energy El Camino Real Charter High School Workplace Charging Challenge Partner: El Camino Real Charter High School Workplace Charging Challenge Partner: El Camino Real Charter High School Joined the Challenge: September 2014 Headquarters: Woodland Hills, CA Charging Location: Woodland Hills, CA Domestic Employees: 225 El Camino Real Charter High School (ECRCHS) has installed 4 plug-in electric vehicle (PEV) chargers, with plans to expand if demand increases. The charging

  11. Jefferson Lab experiment works to clarify Real Compton Scattering |

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

    Jefferson Lab experiment works to clarify Real Compton Scattering Real Compton Scattering experiment spokespeople The Real Compton Scattering experiment spokespeople take a short break for a photo. From left is Bogdan Wojtsekhowski, JLab staff scientist; Charles Hyde-Wright, physics professor at Old Dominion University; and Alan Nathan, physics professor at the University of Illinois and chair of the JLab Users Group. Jefferson Lab experiment works to clarify Real Compton Scattering January

  12. 17.3 - Acquisition, Use and Disposal of Real Property

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

    Chapter 17.3 (March 2011) 1 Acquisition, Use, and Disposal of Real Estate References DEAR 917.74 - Acquisition, Use, and Disposal of Real Estate DOE Directives DOE Order 413.3B, Program and Project Management for the Acquisition of Capital Assets, or current version DOE Order 430.1B, Real Property Asset Management, or current version Overview This section provides internal Departmental information and DOE and NNSA points of contact for issues dealing with real estate acquisition, use, and

  13. Funding Opportunity Announcement: Enabling Extreme Real-Time Grid

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

    Integration of Solar Energy (ENERGISE) | Department of Energy Enabling Extreme Real-Time Grid Integration of Solar Energy (ENERGISE) Funding Opportunity Announcement: Enabling Extreme Real-Time Grid Integration of Solar Energy (ENERGISE) Funding Opportunity Announcement: Enabling Extreme Real-Time Grid Integration of Solar Energy (ENERGISE) Funding Number: DE-FOA-0001495 Funding Amount: $25,000,000 Description The Enabling Extreme Real-Time Grid Integration of Solar Energy (ENERGISE) funding

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

    Energy Savers [EERE]

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

  15. The Department's real property assets are vital to the accomplishment...

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

    .........18 Improve Sustainability......aligned with the four key performance metrics defined by the Federal Real Property ...

  16. Model Documentation Report: Macroeconomic Activity Module (MAM...

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

    ... Because the capital stock does not change much in the short ... of reserves in the banking system and the fractional reserve ... or emission permits: This class of simulations levies some ...

  17. Model Documentation Report: Macroeconomic Activity Module of...

    Gasoline and Diesel Fuel Update (EIA)

    are covered in order to meet client needs regarding investment and financial allocation strategies. (See Table A10.) Inflation: Inflation (VI) is modeled as a...

  18. Model Documentation Report: Macroeconomic Activity Module of...

    Gasoline and Diesel Fuel Update (EIA)

    of employment by industry is industry output. Both current and lagged output values enter in the employment specification, reflecting the tendency for hiring to lag output...

  19. Energy Information Administration NEMS Macroeconomic Activity...

    Gasoline and Diesel Fuel Update (EIA)

    of employment by industry is industrial output. Both current and lagged output values enter in the employment specification, reflecting the tendency of firms to hire employees in...

  20. A Continuous Measure of Gross Primary Production for the Conterminous U.S. Derived from MODIS and AmeriFlux Data

    SciTech Connect (OSTI)

    Xia, Jingfeng; Zhuang, Qianlai; Law, Beverly E.; Chen, Jiquan; Baldocchi, Dennis D.; Cook, David R.; Oren, Ram; Richardson, Andrew D.; Wharton, Sonia; Ma, Siyan; Martin, Timothy A.; Verma, Shashi B.; Suyker, Andrew E.; Scott, Russell L.; Monson, Russell K.; Litvak, Marcy; Hollinger, David Y.; Sun, Ge; Davis, Kenneth J.; Bolstad, Paul V.; Burns, Sean P.; Curtis, Peter S.; Drake, Bert G.; Falk, Matthias; Fischer, Marc L.; Foster, David R.; Gu, Lianhong; Hadley, Julian L.; Katul, Gabriel G.; Matamala, Roser; McNulty, Steve; Meyers, Tilden P.; Munger, J. William; Noormets, Asko; Oechel, Walter C.; U, Kyaw Tha Paw; Schmid, Hans Peter; Starr, Gregory; Torn, Margaret S.; Wofsy, Steven C.

    2009-01-28

    The quantification of carbon fluxes between the terrestrial biosphere and the atmosphere is of scientific importance and also relevant to climate-policy making. Eddy covariance flux towers provide continuous measurements of ecosystem-level exchange of carbon dioxide spanning diurnal, synoptic, seasonal, and interannual time scales. However, these measurements only represent the fluxes at the scale of the tower footprint. Here we used remotely-sensed data from the Moderate Resolution Imaging Spectroradiometer (MODIS) to upscale gross primary productivity (GPP) data from eddy covariance flux towers to the continental scale. We first combined GPP and MODIS data for 42 AmeriFlux towers encompassing a wide range of ecosystem and climate types to develop a predictive GPP model using a regression tree approach. The predictive model was trained using observed GPP over the period 2000-2004, and was validated using observed GPP over the period 2005-2006 and leave-one-out cross-validation. Our model predicted GPP fairly well at the site level. We then used the model to estimate GPP for each 1 km x 1 km cell across the U.S. for each 8-day interval over the period from February 2000 to December 2006 using MODIS data. Our GPP estimates provide a spatially and temporally continuous measure of gross primary production for the U.S. that is a highly constrained by eddy covariance flux data. Our study demonstrated that our empirical approach is effective for upscaling eddy flux GPP data to the continental scale and producing continuous GPP estimates across multiple biomes. With these estimates, we then examined the patterns, magnitude, and interannual variability of GPP. We estimated a gross carbon uptake between 6.91 and 7.33 Pg C yr{sup -1} for the conterminous U.S. Drought, fires, and hurricanes reduced annual GPP at regional scales and could have a significant impact on the U.S. net ecosystem carbon exchange. The sources of the interannual variability of U.S. GPP were dominated by these extreme climate events and disturbances.

  1. Real Time Simulation of Power Grid Disruptions

    SciTech Connect (OSTI)

    Chinthavali, Supriya; Dimitrovski, Aleksandar D; Fernandez, Steven J; Groer, Christopher S; Nutaro, James J; Olama, Mohammed M; Omitaomu, Olufemi A; Shankar, Mallikarjun; Spafford, Kyle L; Vacaliuc, Bogdan

    2012-11-01

    DOE-OE and DOE-SC workshops (Reference 1-3) identified the key power grid problem that requires insight addressable by the next generation of exascale computing is coupling of real-time data streams (1-2 TB per hour) as the streams are ingested to dynamic models. These models would then identify predicted disruptions in time (2-4 seconds) to trigger the smart grid s self healing functions. This project attempted to establish the feasibility of this approach and defined the scientific issues, and demonstrated example solutions to important smart grid simulation problems. These objectives were accomplished by 1) using the existing frequency recorders on the national grid to establish a representative and scalable real-time data stream; 2) invoking ORNL signature identification algorithms; 3) modeling dynamically a representative region of the Eastern interconnect using an institutional cluster, measuring the scalability and computational benchmarks for a national capability; and 4) constructing a prototype simulation for the system s concept of smart grid deployment. The delivered ORNL enduring capability included: 1) data processing and simulation metrics to design a national capability justifying exascale applications; 2) Software and intellectual property built around the example solutions; 3) demonstrated dynamic models to design few second self-healing.

  2. Real-time characterization of partially observed epidemics using surrogate models.

    SciTech Connect (OSTI)

    Safta, Cosmin; Ray, Jaideep; Lefantzi, Sophia; Crary, David; Sargsyan, Khachik; Cheng, Karen

    2011-09-01

    We present a statistical method, predicated on the use of surrogate models, for the 'real-time' characterization of partially observed epidemics. Observations consist of counts of symptomatic patients, diagnosed with the disease, that may be available in the early epoch of an ongoing outbreak. Characterization, in this context, refers to estimation of epidemiological parameters that can be used to provide short-term forecasts of the ongoing epidemic, as well as to provide gross information on the dynamics of the etiologic agent in the affected population e.g., the time-dependent infection rate. The characterization problem is formulated as a Bayesian inverse problem, and epidemiological parameters are estimated as distributions using a Markov chain Monte Carlo (MCMC) method, thus quantifying the uncertainty in the estimates. In some cases, the inverse problem can be computationally expensive, primarily due to the epidemic simulator used inside the inversion algorithm. We present a method, based on replacing the epidemiological model with computationally inexpensive surrogates, that can reduce the computational time to minutes, without a significant loss of accuracy. The surrogates are created by projecting the output of an epidemiological model on a set of polynomial chaos bases; thereafter, computations involving the surrogate model reduce to evaluations of a polynomial. We find that the epidemic characterizations obtained with the surrogate models is very close to that obtained with the original model. We also find that the number of projections required to construct a surrogate model is O(10)-O(10{sup 2}) less than the number of samples required by the MCMC to construct a stationary posterior distribution; thus, depending upon the epidemiological models in question, it may be possible to omit the offline creation and caching of surrogate models, prior to their use in an inverse problem. The technique is demonstrated on synthetic data as well as observations from the 1918 influenza pandemic collected at Camp Custer, Michigan.

  3. Registration of clinical volumes to beams-eye-view images for real-time tracking

    SciTech Connect (OSTI)

    Bryant, Jonathan H.; Rottmann, Joerg; Lewis, John H.; Mishra, Pankaj; Berbeco, Ross I.; Keall, Paul J.

    2014-12-15

    Purpose: The authors combine the registration of 2D beams eye view (BEV) images and 3D planning computed tomography (CT) images, with relative, markerless tumor tracking to provide automatic absolute tracking of physician defined volumes such as the gross tumor volume (GTV). Methods: During treatment of lung SBRT cases, BEV images were continuously acquired with an electronic portal imaging device (EPID) operating in cine mode. For absolute registration of physician-defined volumes, an intensity based 2D/3D registration to the planning CT was performed using the end-of-exhale (EoE) phase of the four dimensional computed tomography (4DCT). The volume was converted from Hounsfield units into electron density by a calibration curve and digitally reconstructed radiographs (DRRs) were generated for each beam geometry. Using normalized cross correlation between the DRR and an EoE BEV image, the best in-plane rigid transformation was found. The transformation was applied to physician-defined contours in the planning CT, mapping them into the EPID image domain. A robust multiregion method of relative markerless lung tumor tracking quantified deviations from the EoE position. Results: The success of 2D/3D registration was demonstrated at the EoE breathing phase. By registering at this phase and then employing a separate technique for relative tracking, the authors are able to successfully track target volumes in the BEV images throughout the entire treatment delivery. Conclusions: Through the combination of EPID/4DCT registration and relative tracking, a necessary step toward the clinical implementation of BEV tracking has been completed. The knowledge of tumor volumes relative to the treatment field is important for future applications like real-time motion management, adaptive radiotherapy, and delivered dose calculations.

  4. Real-World Hydrogen Technology Validation: Preprint

    SciTech Connect (OSTI)

    Sprik, S.; Kurtz, J.; Wipke, K.; Ramsden, T.; Ainscough, C.; Eudy, L.; Saur, G.

    2012-03-01

    The Department of Energy, the Department of Defense's Defense Logistics Agency, and the Department of Transportation's Federal Transit Administration have funded learning demonstrations and early market deployments to provide insight into applications of hydrogen technologies on the road, in the warehouse, and as stationary power. NREL's analyses validate the technology in real-world applications, reveal the status of the technology, and facilitate the development of hydrogen and fuel cell technologies, manufacturing, and operations. This paper presents the maintenance, safety, and operation data of fuel cells in multiple applications with the reported incidents, near misses, and frequencies. NREL has analyzed records of more than 225,000 kilograms of hydrogen that have been dispensed through more than 108,000 hydrogen fills with an excellent safety record.

  5. In-line real time air monitor

    DOE Patents [OSTI]

    Wise, Marcus B.; Thompson, Cyril V.

    1998-01-01

    An in-line gas monitor capable of accurate gas composition analysis in a continuous real time manner even under strong applied vacuum conditions operates by mixing an air sample with helium forming a sample gas in two complementary sample loops embedded in a manifold which includes two pairs of 3-way solenoid valves. The sample gas is then analyzed in an ion trap mass spectrometer on a continuous basis. Two valve drivers actuate the two pairs of 3-way valves in a reciprocating fashion, so that there is always flow through the in-line gas monitor via one or the other of the sample loops. The duty cycle for the two pairs of 3-way valves is varied by tuning the two valve drivers to a duty cycle typically between 0.2 to 0.7 seconds.

  6. REAL TIME DATA FOR REMEDIATION ACTIVITIES [11505

    SciTech Connect (OSTI)

    BROCK CT

    2011-01-13

    Health physicists from the CH2M HILL Plateau Remediation Company collaborated with Berkeley Nucleonics Corporation to modify the SAM 940 isotope identifier instrument to be used for nuclear waste remediation. These modifications coupled with existing capabilities of the SAM 940 have proven to be invaluable during remediation activities, reducing disposal costs by allowing swift remediation of targeted areas that have been identified as having isotopes of concern (IOC), and eliminating multiple visits to sites by declaring an excavation site clear of IOCs before demobilizing from the site. These advantages are enabled by accumulating spectral data for specific isotopes that is nearly 100 percent free of false positives, which are filtered out in 'real time.'

  7. Real time speech formant analyzer and display

    DOE Patents [OSTI]

    Holland, G.E.; Struve, W.S.; Homer, J.F.

    1987-02-03

    A speech analyzer for interpretation of sound includes a sound input which converts the sound into a signal representing the sound. The signal is passed through a plurality of frequency pass filters to derive a plurality of frequency formants. These formants are converted to voltage signals by frequency-to-voltage converters and then are prepared for visual display in continuous real time. Parameters from the inputted sound are also derived and displayed. The display may then be interpreted by the user. The preferred embodiment includes a microprocessor which is interfaced with a television set for displaying of the sound formants. The microprocessor software enables the sound analyzer to present a variety of display modes for interpretive and therapeutic used by the user. 19 figs.

  8. Real time speech formant analyzer and display

    DOE Patents [OSTI]

    Holland, George E.; Struve, Walter S.; Homer, John F.

    1987-01-01

    A speech analyzer for interpretation of sound includes a sound input which converts the sound into a signal representing the sound. The signal is passed through a plurality of frequency pass filters to derive a plurality of frequency formants. These formants are converted to voltage signals by frequency-to-voltage converters and then are prepared for visual display in continuous real time. Parameters from the inputted sound are also derived and displayed. The display may then be interpreted by the user. The preferred embodiment includes a microprocessor which is interfaced with a television set for displaying of the sound formants. The microprocessor software enables the sound analyzer to present a variety of display modes for interpretive and therapeutic used by the user.

  9. In-line real time air monitor

    DOE Patents [OSTI]

    Wise, M.B.; Thompson, C.V.

    1998-07-14

    An in-line gas monitor capable of accurate gas composition analysis in a continuous real time manner even under strong applied vacuum conditions operates by mixing an air sample with helium forming a sample gas in two complementary sample loops embedded in a manifold which includes two pairs of 3-way solenoid valves. The sample gas is then analyzed in an ion trap mass spectrometer on a continuous basis. Two valve drivers actuate the two pairs of 3-way valves in a reciprocating fashion, so that there is always flow through the in-line gas monitor via one or the other of the sample loops. The duty cycle for the two pairs of 3-way valves is varied by tuning the two valve drivers to a duty cycle typically between 0.2 to 0.7 seconds. 3 figs.

  10. Working with Real Estate Home Inspectors, Exterminators, and Other

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

    "Nontraditional" Partners | Department of Energy Real Estate Home Inspectors, Exterminators, and Other "Nontraditional" Partners Working with Real Estate Home Inspectors, Exterminators, and Other "Nontraditional" Partners Better Buildings Neighborhood Program Workforce / Business Partners Peer Exchange Call: Working with Real Estate Home Inspectors, Exterminators, and other "Nontraditional" Partners, Call Slides and Discussion Summary, February 28,

  11. Department of Energy and Commercial Real Estate Executives Launch Alliance

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

    to Reduce Energy Consumption of Buildings | Department of Energy Commercial Real Estate Executives Launch Alliance to Reduce Energy Consumption of Buildings Department of Energy and Commercial Real Estate Executives Launch Alliance to Reduce Energy Consumption of Buildings April 9, 2009 - 12:00am Addthis WASHINGTON, D.C. - Top executives from 19 commercial real estate companies met with U.S. Department of Energy (DOE) officials in New York City today to discuss plans to dramatically reduce

  12. Real Time Tailpipe Emission Measurements | Department of Energy

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

    More Documents & Publications Real-Time Simultaneous Measurements of Size, Density, and Composition of Single Ultrafine Diesel Tailpipe Particles Microsoft PowerPoint - 4. ORNL- ...

  13. Real-Time Simultaneous Measurements of Size, Density, and Composition...

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

    Simultaneous Measurements of Size, Density, and Composition of Single Ultrafine Diesel Tailpipe Particles Real-Time Simultaneous Measurements of Size, Density, and Composition of ...

  14. Funding Opportunity Announcement: Enabling Extreme Real-Time...

    Office of Environmental Management (EM)

    Funding Opportunity Announcement: Enabling Extreme Real-Time Grid Integration of Solar Energy ... These software and hardware solutions will be highly scalable, data-driven, and capable ...

  15. Real-Time Chemical Imaging of Bacterial Biofilm Development

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

    Real-Time Chemical Imaging of Bacterial Biofilm Development Print Scientists have developed a robust and label-free method to probe the chemical underpinnings of developing bacterial ...

  16. Building America Webinar: Building America: Research for Real...

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

    Building America Webinar: Building America: Research for Real-World Results This presentation was delivered on Dec. 17, 2014, by Eric Werling, Building America Research ...

  17. Computing Eigenvalues of Real Symmetric Matrices Using Rational...

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

    matrices are real symmetric, most such methods rely on complex arithmetic, to solve the linear systems that arise in their implementations. An appealing technique for overcoming...

  18. 2012 Federal Real Property Council Reporting Guidance | Department...

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

    2012 Data Dictionary FINAL.pdf More Documents & Publications 2015 Federal Real Property Council Reporting Guidance FRPC User Guidance -for FY2006 FRPC User Guidance -for FY2006...

  19. Autonomous global sky monitoring with real-time robotic follow...

    Office of Scientific and Technical Information (OSTI)

    anomalous behavior, selecting targets for detailed investigation, and making real-time anomaly detection to enable rapid recognition and a swift response to transients as...

  20. "Table 2. Real Average Annual Coal Transportation Costs, By Primary...

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

    Real Average Annual Coal Transportation Costs, By Primary Transport Mode and Supply Region" "(2013 dollars per ton)" "Coal Supply Region",2008,2009,2010,2011,2012,2013 "Railroad"...

  1. Table 1. Real Average Transportation and Delivered Costs of Coal...

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

    Real Average Transportation and Delivered Costs of Coal, By Year and Primary Transport Mode" "Year","Average Transportation Cost of Coal (Dollars per Ton)","Average Delivered Cost...

  2. Tracking Living Cells as They Differentiate in Real Time

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

    Tracking Living Cells as They Differentiate in Real Time Print Protein phosphorylation regulates protein function in a cell, either activating or inactivating the proteins...

  3. Scientists Probe Lithium-Sulfur Batteries in Real Time - Joint...

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

    7, 2012, Videos Scientists Probe Lithium-Sulfur Batteries in Real Time Lithium-sulfur batteries are a promising technology that could some day power electric vehicles. Scientists ...

  4. MHK Projects/Leancon Real Sea Test | Open Energy Information

    Open Energy Info (EERE)

    Leancon Real Sea Test < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... "minzoom":false,"mappingservice":"googlemaps3","type":"ROADM...

  5. Real time PV manufacturing diagnostic system

    SciTech Connect (OSTI)

    Kochergin, Vladimir; Crawford, Michael A.

    2015-09-01

    The main obstacle Photovoltaic (PV) industry is facing at present is the higher cost of PV energy compared to that of fossil energy. While solar cell efficiencies continue to make incremental gains these improvements are so far insufficient to drive PV costs down to match that of fossil energy. Improved in-line diagnostics however, has the potential to significantly increase the productivity and reduce cost by improving the yield of the process. On this Phase I/Phase II SBIR project MicroXact developed and demonstrated at CIGS pilot manufacturing line a high-throughput in-line PV manufacturing diagnostic system, which was verified to provide fast and accurate data on the spatial uniformity of thickness, an composition of the thin films comprising the solar cell as the solar cell is processed reel-to-reel. In Phase II project MicroXact developed a stand-alone system prototype and demonstrated the following technical characteristics: 1) ability of real time defect/composition inconsistency detection over 60cm wide web at web speeds up to 3m/minute; 2) Better than 1mm spatial resolution on 60cm wide web; 3) an average better than 20nm spectral resolution resulting in more than sufficient sensitivity to composition imperfections (copper-rich and copper-poor regions were detected). The system was verified to be high vacuum compatible. Phase II results completely validated both technical and economic feasibility of the proposed concept. MicroXact’s solution is an enabling technique for in-line PV manufacturing diagnostics to increase the productivity of PV manufacturing lines and reduce the cost of solar energy, thus reducing the US dependency on foreign oil while simultaneously reducing emission of greenhouse gasses.

  6. Towards a Real-Time Cluster Computing Infrastructure

    SciTech Connect (OSTI)

    Hui, Peter SY; Chikkagoudar, Satish; Chavarría-Miranda, Daniel; Johnston, Mark R.

    2011-11-01

    Real-time computing has traditionally been considered largely in the context of single-processor and embedded systems, and indeed, the terms real-time computing, embedded systems, and control systems are often mentioned in closely related contexts. However, real-time computing in the context of multinode systems, specifically high-performance, cluster-computing systems, remains relatively unexplored, largely due to the fact that until now, there has not been a need for such an environment. In this paper, we motivate the need for a cluster computing infrastructure capable of supporting computation over large datasets in real-time. Our motivating example is an analytical framework to support the next generation North American power grid, which is growing both in size and complexity. With streaming sensor data in the future power grid potentially reaching rates on the order of terabytes per day, the task of analyzing this data subject to real-time guarantees becomes a daunting task which will require the power of high-performance cluster computing capable of functioning under real-time constraints. One specific challenge that such an environment presents is the need for real-time networked communication between cluster nodes. In this paper, we discuss the need for real-time high-performance cluster computation, along with our work-in-progress towards an infrastructure which will ultimately enable such an environment.

  7. Real-time hydro coordination and economic hydro optimization

    SciTech Connect (OSTI)

    Dasigenis, A.T.; Garcia-San Pedro, A.R.

    1995-12-31

    This paper addresses the real-time aspects of the Hydro-Thermal Coordination problem. It describes the real-time modeling and monitoring of hydro resources, and the use of the resulting real-time hydraulic data in the on-line Economic Dispatch algorithm. A variable head, hydro loss model is incorporated that allows for on-line changes to the hydro topology. The method presented provides the operator with a current view of the available water resources, enables the validation of the real-time hydro data received from the field, and enables real-time optimization of the Hydro-Thermal Unit Commitment plan. The implementation of this approach on the Iberdrola system in Spain is described.

  8. Real-Time Dynamic Brake Assessment Proof of Concept Final Report

    SciTech Connect (OSTI)

    Lascurain, Mary Beth; Franzese, Oscar; Capps, Gary J

    2011-11-01

    This proof-of-concept research was performed to explore the feasibility of using real-world braking data from commercial motor vehicles to make a diagnosis of brake condition similar to that of the performance-based brake tester (PBBT). This was done by determining the relationship between pressure and brake force (P-BF), compensating for the gross vehicle weight (GVW). The nature of this P-BF relationship (e.g., low braking force for a given brake application pressure) may indicate brake system problems. In order to determine the relationship between brake force and brake application pressure, a few key parameters of duty cycle information were collected. Because braking events are often brief, spanning only a few seconds, a sample rate of 10 Hz was needed. The algorithm under development required brake application pressure and speed (from which deceleration was calculated). Accurate weight estimation was also needed to properly derive the braking force from the deceleration. In order to ensure that braking force was the predominant factor in deceleration for the segments of data used in analysis, the data was screened for grade as well. Also, the analysis needed to be based on pressures above the crack pressure. The crack pressure is the pressure below which the individual brakes are not applied due the nature of the mechanical system. This value, which may vary somewhat from one wheel end to another, is approximately 10 psi. Therefore, only pressures 15 psi and above were used in the analysis. The Department of Energy s Medium Truck Duty Cycle research has indicated that under the real-world circumstances of the test vehicle brake pressures of up to approximately 30 psi can be expected. Several different types of data were collected during the testing task of this project. Constant-pressure stopping tests were conducted at several combinations of brake application pressure (15, 20, 25, and 30 psi), load conditions (moderately and fully laden), and speeds (20 and 30 mph). Data was collected at 10 Hz. Standard and stepped-pressure performance-based brake tests with brake pressure transducers were performed for each loading condition. The stepped-pressure test included the constant-pressure intervals of brake application at 15, 20, 25, and 30 psi. The PBBT data files included 10 Hz streaming data collected during the testing of each axle. Two weeks of real-world duty cycle (driving and braking) data was also collected at 10 Hz. Initial analysis of the data revealed that the data collected in the field (i.e., day-to-day operations) provided the same information as that obtained from the controlled tests. Analysis of the data collected revealed a strong linear relationship between brake application pressure and deceleration for given GVWs. As anticipated, initial speed was not found to be a significant factor in the deceleration-pressure relationship, unlike GVW. The positive results obtained from this proof of concept test point to the need for further research to expand this concept. A second phase should include testing over a wider range of speeds and include medium brake application pressures in addition to the low pressures tested in this research. Testing on multiple vehicles would also be of value. This future phase should involve testing to determine how degradation of braking performance affects the pressure-deceleration relationship.

  9. Real Time Flux Control in PM Motors

    SciTech Connect (OSTI)

    Otaduy, P.J.

    2005-09-27

    Significant research at the Oak Ridge National Laboratory (ORNL) Power Electronics and Electric Machinery Research Center (PEEMRC) is being conducted to develop ways to increase (1) torque, (2) speed range, and (3) efficiency of traction electric motors for hybrid electric vehicles (HEV) within existing current and voltage bounds. Current is limited by the inverter semiconductor devices' capability and voltage is limited by the stator wire insulation's ability to withstand the maximum back-electromotive force (emf), which occurs at the upper end of the speed range. One research track has been to explore ways to control the path and magnitude of magnetic flux while the motor is operating. The phrase, real time flux control (RTFC), refers to this mode of operation in which system parameters are changed while the motor is operating to improve its performance and speed range. RTFC has potential to meet an increased torque demand by introducing additional flux through the main air gap from an external source. It can augment the speed range by diverting flux away from the main air gap to reduce back-emf at high speeds. Conventional RTFC technology is known as vector control [1]. Vector control decomposes the stator current into two components; one that produces torque and a second that opposes (weakens) the magnetic field generated by the rotor, thereby requiring more overall stator current and reducing the efficiency. Efficiency can be improved by selecting a RTFC method that reduces the back-emf without increasing the average current. This favors methods that use pulse currents or very low currents to achieve field weakening. Foremost in ORNL's effort to develop flux control is the work of J. S. Hsu. Early research [2,3] introduced direct control of air-gap flux in permanent magnet (PM) machines and demonstrated it with a flux-controlled generator. The configuration eliminates the problem of demagnetization because it diverts all the flux from the magnets instead of trying to oppose it. It is robust and could be particularly useful for PM generators and electric vehicle drives. Recent efforts have introduced a brushless machine that transfers a magneto-motive force (MMF) generated by a stationary excitation coil to the rotor [4]. Although a conventional PM machine may be field weakened using vector control, the air-gap flux density cannot be effectively enhanced. In Hsu's new machine, the magnetic field generated by the rotor's PM may be augmented by the field from the stationery excitation coil and channeled with flux guides to its desired destination to enhance the air-gap flux that produces torque. The magnetic field can also be weakened by reversing the current in the stationary excitation winding. A patent for advanced technology in this area is pending. Several additional RTFC methods have been discussed in open literature. These include methods of changing the number of poles by magnetizing and demagnetizing the magnets poles with pulses of current corresponding to direct-axis (d-axis) current of vector control [5,6], changing the number of stator coils [7], and controlling the air gap [8]. Test experience has shown that the magnet strengths may vary and weaken naturally as rotor temperature increases suggesting that careful control of the rotor temperature, which is no easy task, could yield another method of RTFC. The purpose of this report is to (1) examine the interaction of rotor and stator flux with regard to RTFC, (2) review and summarize the status of RTFC technology, and (3) compare and evaluate methods for RTFC with respect to maturity, advantages and limitations, deployment difficulty and relative complexity.

  10. Effects of in-situ and reanalysis climate data on estimation of cropland gross primary production using the Vegetation Photosynthesis Model

    SciTech Connect (OSTI)

    Jin, Cui; Xiao, Xiangming; Wagle, Pradeep; Griffis, Timothy; Dong, Jinwei; Wu, Chaoyang; Qin, Yuanwei; Cook, David R.

    2015-11-01

    Satellite-based Production Efficiency Models (PEMs) often require meteorological reanalysis data such as the North America Regional Reanalysis (NARR) by the National Centers for Environmental Prediction (NCEP) as model inputs to simulate Gross Primary Production (GPP) at regional and global scales. This study first evaluated the accuracies of air temperature (TNARR) and downward shortwave radiation (RNARR) of the NARR by comparing with in-situ meteorological measurements at 37 AmeriFlux non-crop eddy flux sites, then used one PEM – the Vegetation Photosynthesis Model (VPM) to simulate 8-day mean GPP (GPPVPM) at seven AmeriFlux crop sites, and investigated the uncertainties in GPPVPM from climate inputs as compared with eddy covariance-based GPP (GPPEC). Results showed that TNARR agreed well with in-situ measurements; RNARR, however, was positively biased. An empirical linear correction was applied to RNARR, and significantly reduced the relative error of RNARR by ~25% for crop site-years. Overall, GPPVPM calculated from the in-situ (GPPVPM(EC)), original (GPPVPM(NARR)) and adjusted NARR (GPPVPM(adjNARR)) climate data tracked the seasonality of GPPEC well, albeit with different degrees of biases. GPPVPM(EC) showed a good match with GPPEC for maize (Zea mays L.), but was slightly underestimated for soybean (Glycine max L.). Replacing the in-situ climate data with the NARR resulted in a significant overestimation of GPPVPM(NARR) (18.4/29.6% for irrigated/rainfed maize and 12.7/12.5% for irrigated/rainfed soybean). GPPVPM(adjNARR) showed a good agreement with GPPVPM(EC) for both crops due to the reduction in the bias of RNARR. The results imply that the bias of RNARR introduced significant uncertainties into the PEM-based GPP estimates, suggesting that more accurate surface radiation datasets are needed to estimate primary production of terrestrial ecosystems at regional and global scales.

  11. DOE Announces Webinars on Real Time Energy Management, Solar Forecasting

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

    Metrics, and More | Department of Energy February 4: Live Webinar on Real Time Energy Management Webinar Sponsor: Better Buildings Challenge The Energy Department will present a live webinar titled "Real-time Energy Management: Improving Energy Efficiency Every 15 Minutes" on Tuesday, February 4, from 3:00 p.m. to 4:00 p.m. Eastern Standard Time. This webinar will feature three Better Buildings Challenge partners that are employing real-time energy management to achieve their

  12. GATEWAY Demonstrations: Exploring SSL Product Performance in the Real World

    SciTech Connect (OSTI)

    2013-10-01

    Fact sheet that outlines DOE's GATEWAY technology demonstration program, which evaluates high-performance SSL products for general illumination in a variety of real-world exterior and interior applications.

  13. DOE - Fossil Energy: The Cleanest Coal Technology - A Real Gas

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

    5-Cleanest Coal Technology An Energy Lesson Cleaning Up Coal The Cleanest Coal Technology - a Real Gas Don't think of coal as a solid black rock. Think of it as a mass of atoms. ...

  14. New Real-Time Quantum Efficiency Measurement System: Preprint

    SciTech Connect (OSTI)

    Young, D. L.; Egaas, B.; Pinegar, S.; Stradins, P.

    2008-05-01

    This paper describes a newly developed technique for measuring the quantum eficiiency in solar cells in real-time using a unique, electronically controlled, full-spectrum light source.

  15. Capturing Energy Efficiency Upgrades in the Real Estate Transaction

    Broader source: Energy.gov [DOE]

    "Capturing Energy Efficiency Upgrades in the Real Estate Transaction," by Residential Energy Efficiency Solutions, July 10, 2012. Describes the concept of a residential MPG number as a simple way of describing a home’s energy consumption.

  16. Asset Score Webinar Slides: Real Estate and Design Professionals...

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

    Asset Score Webinar Slides: Real Estate and Design Professionals The Asset Score is a free, web-based software tool developed by DOE and the Pacific Northwest National Laboratory ...

  17. Looking at Transistor Gate Oxide Formation in Real Time

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

    Looking at Transistor Gate Oxide Formation in Real Time Print The oxide gate layer is critical to every transistor, and present-day layer thicknesses are in the 10-20 range (1-2...

  18. DOE real property: A yearly statistical handbook, Fiscal year 1992

    SciTech Connect (OSTI)

    Not Available

    1992-12-31

    To assist in the tracking, reporting, and management of the real property, DOE has an automated inventory information system. This handbook was prepared as a resource for DOE officials and others who have a need to reference real property data as part of their day-to-day functions. It is intended as an internal working document, and the information therein is a compilation or analysis of data in the information system. It is divided into: land, buildings, and other structures and facilities.

  19. Genetically encoded sensors enable real-time observation of metabolite

    Office of Scientific and Technical Information (OSTI)

    production (Journal Article) | SciTech Connect Genetically encoded sensors enable real-time observation of metabolite production Citation Details In-Document Search This content will become publicly available on August 8, 2016 Title: Genetically encoded sensors enable real-time observation of metabolite production Authors: Rogers, Jameson K. ; Church, George M. Publication Date: 2016-02-08 OSTI Identifier: 1237386 Type: Published Article Journal Name: Proceedings of the National Academy of

  20. Illustrious Visitors Good Hosts Real Celebrity | Jefferson Lab

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

    Illustrious Visitors Good Hosts Real Celebrity Illustrious Visitors; Good Hosts! Real Celebrity. June 15, 2015 On a regular basis, the DOE Site Office asks us to update our list of illustrious visitors; often, there is nothing to say. Other times we are inundated. The past few months has seen a fine selection of events hosted by Jefferson Lab, and Jefferson Science Associates and its parent Southeastern Universities Research Association. This past week, Joachim Mnich, a member of the DESY

  1. Tracking Living Cells as They Differentiate in Real Time

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

    Tracking Living Cells as They Differentiate in Real Time Tracking Living Cells as They Differentiate in Real Time Print Thursday, 27 September 2012 00:00 Protein phosphorylation regulates protein function in a cell, either activating or inactivating the proteins responsible for many cell functions ranging from cell proliferation to differentiation to metabolism to signaling, and even programmed cell death. This chemical process has been studied intensively, but until now it has been impossible

  2. AUDIT REPORT Bonneville Power Administration's Real Property Services

    Energy Savers [EERE]

    Bonneville Power Administration's Real Property Services OAI-M-16-04 January 2016 U.S. Department of Energy Office of Inspector General Office of Audits and Inspections Department of Energy Washington, DC 20585 January 8, 2016 MEMORANDUM FOR THE ADMINISTRATOR, BONNEVILLE POWER ADMINISTRATION FROM: Sarah B. Nelson Assistant Inspector General for Audits and Administration Office of Inspector General SUBJECT: INFORMATION: Audit Report on "Bonneville Power Administration's Real Property

  3. Vector processing enhancements for real-time image analysis.

    SciTech Connect (OSTI)

    Shoaf, S.; APS Engineering Support Division

    2008-01-01

    A real-time image analysis system was developed for beam imaging diagnostics. An Apple Power Mac G5 with an Active Silicon LFG frame grabber was used to capture video images that were processed and analyzed. Software routines were created to utilize vector-processing hardware to reduce the time to process images as compared to conventional methods. These improvements allow for more advanced image processing diagnostics to be performed in real time.

  4. Mr. Anthony Reale Engineering Department Lutheran Medical Center

    Office of Legacy Management (LM)

    Anthony Reale Engineering Department Lutheran Medical Center 1550 55th Street Brooklyn, NY 11220 Dear Mr. Reale: The site of the Lutheran Medical Center was formerly used by the American Machine and Foundry Company (AMF) to provide various serviceslto the 111 Department of Energy's predecessor agency, the U.S. The services included the machining and shaping of two uranium and thorium. At the request of the Department with the consent of the Lutheran Medical Center, Oak Ridge Associated

  5. Practical Considerations for Analysis By Synthesis, a Real World Example

    Office of Scientific and Technical Information (OSTI)

    using DARHT Radiography (Conference) | SciTech Connect Practical Considerations for Analysis By Synthesis, a Real World Example using DARHT Radiography Citation Details In-Document Search Title: Practical Considerations for Analysis By Synthesis, a Real World Example using DARHT Radiography Authors: Carroll, James L. [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2013-04-30 OSTI Identifier: 1078357 Report Number(s): LA-UR-13-23130 DOE Contract Number:

  6. Real and effective thermal equilibrium in artificial square spin ices

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect Real and effective thermal equilibrium in artificial square spin ices Citation Details In-Document Search Title: Real and effective thermal equilibrium in artificial square spin ices Authors: Morgan, Jason P. ; Akerman, Johanna ; Stein, Aaron ; Phatak, Charudatta ; Evans, R. M. L. ; Langridge, Sean ; Marrows, Christopher H. Publication Date: 2013-01-09 OSTI Identifier: 1101866 Type: Publisher's Accepted Manuscript Journal Name: Physical Review B Additional

  7. Real-time condition assessment of RAPTOR telescope systems (Conference) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Conference: Real-time condition assessment of RAPTOR telescope systems Citation Details In-Document Search Title: Real-time condition assessment of RAPTOR telescope systems × 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 utilize additional information resources in energy science and technology. A paper

  8. Real-time condition assessment of RAPTOR telescope systems (Journal

    Office of Scientific and Technical Information (OSTI)

    Article) | SciTech Connect Journal Article: Real-time condition assessment of RAPTOR telescope systems Citation Details In-Document Search Title: Real-time condition assessment of RAPTOR telescope systems × 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 utilize additional information resources in energy science and

  9. Real-Time Chemical Imaging of Bacterial Biofilm Development

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

    Real-Time Chemical Imaging of Bacterial Biofilm Development Real-Time Chemical Imaging of Bacterial Biofilm Development Print Wednesday, 25 August 2010 00:00 Scientists have developed a robust and label-free method to probe the chemical underpinnings of developing bacterial biofilms. Almost all bacteria can form biofilms-dynamic communities of cells enclosed in self-produced matrices of polymers that stick to other bacteria or surfaces in water-containing environments. Coordinated collectively,

  10. High speed, real-time, camera bandwidth converter

    DOE Patents [OSTI]

    Bower, Dan E; Bloom, David A; Curry, James R

    2014-10-21

    Image data from a CMOS sensor with 10 bit resolution is reformatted in real time to allow the data to stream through communications equipment that is designed to transport data with 8 bit resolution. The incoming image data has 10 bit resolution. The communication equipment can transport image data with 8 bit resolution. Image data with 10 bit resolution is transmitted in real-time, without a frame delay, through the communication equipment by reformatting the image data.

  11. Asset Score Webinar Slides: Real Estate and Design Professionals |

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

    Department of Energy Real Estate and Design Professionals Asset Score Webinar Slides: Real Estate and Design Professionals The Asset Score is a free, web-based software tool developed by DOE and the Pacific Northwest National Laboratory (PNNL) that assesses the physical and structural energy efficiency of commercial and multifamily residential buildings. It generates a simple energy efficiency rating that enables comparison among buildings, and identifies custom opportunities to invest in

  12. Building Energy Asset Score: Real Estate Managers | Department of Energy

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

    Real Estate Managers Building Energy Asset Score: Real Estate Managers The U.S. Department of Energy's Building Energy Asset Score is a national standardized tool for evaluating the physical and structural energy efficiency of commercial and multifamily residential buildings. The Asset Score generates a simple energy efficiency rating that enables comparison among buildings, and identifies opportunities for users to invest in energy efficiency upgrades. It is web-based and free to use. View

  13. FY09_Federal_Real_Property_Reporting_Requirements.pdf | Department of

    Energy Savers [EERE]

    Energy _Federal_Real_Property_Reporting_Requirements.pdf FY09_Federal_Real_Property_Reporting_Requirements.pdf PDF icon FY09_Federal_Real_Property_Reporting_Requirements.pdf More Documents & Publications 2013 guidance fo real Property Inventory Reporting FY 2012 Federal Real Property Reporting Requirement Guidance for Fiscal Year 2015 Facilities Information Management System Data Validations

  14. Review of processes for the release of DOE real and non-real property for reuse and recycle

    SciTech Connect (OSTI)

    Ranek, N.L.; Kamboj, S.; Hensley, J.; Chen, S.Y.; Blunt, D.

    1997-11-01

    This report summarizes the underlying historical and regulatory framework supporting the concept of authorizing release for restricted or unrestricted reuse or recycle of real and non-real U.S. Department of Energy (DOE) properties containing residual radioactive material. Basic radiation protection principles as recommended by the International Commission on Radiological Protection are reviewed, and international initiatives to investigate radiological clearance criteria are reported. Applicable requirements of the U.S. Nuclear Regulatory Commission, the Environmental Protection Agency, DOE, and the State of Washington are discussed. Several processes that have been developed for establishing cleanup and release criteria for real and non-real DOE property containing residual radioactive material are presented. Examples of DOE real property for which radiological cleanup criteria were established to support unrestricted release are provided. Properties discussed include Formerly Utilized Sites Remedial Action Project sites, Uranium Mill Tailings Remedial Action Project sites, the Shippingport decommissioning project, the south-middle and south-east vaults in the 317 area at Argonne National Laboratory, the Heavy Water Components Test Reactor at DOE`s Savannah River Site, the Experimental Boiling Water Reactor at Argonne National Laboratory, and the Weldon Spring site. Some examples of non-real property for which DOE sites have established criteria to support unrestricted release are also furnished. 10 figs., 4 tabs.

  15. Business Models and Case Examples for Working with the Real Estate...

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

    Business Models and Case Examples for Working with the Real Estate Sector Business Models and Case Examples for Working with the Real Estate Sector Better Buildings Neighborhood...

  16. Business Models and Case Examples for Working with the Real Estate...

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

    Business Models and Case Examples for Working with the Real Estate Sector Business Models and Case Examples for Working with the Real Estate Sector Better Buildings Neighborhood ...

  17. EERE Success Story-Competition Provides Students with Real-World...

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

    Competition Provides Students with Real-World Engineering Experience EERE Success Story-Competition Provides Students with Real-World Engineering Experience April 10, 2013 - ...

  18. Real-time sub- Å ngstrom imaging of reversible and irreversible...

    Office of Scientific and Technical Information (OSTI)

    Real-time sub- ngstrom imaging of reversible and irreversible conformations in rhodium catalysts and graphene Title: Real-time sub- ngstrom imaging of reversible and ...

  19. GAO-12-645, Federal Real Property, National Strategy and Better...

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

    2-645, Federal Real Property, National Strategy and Better Data Needed to Improve Management of Excess and Underutilized Property GAO-12-645, Federal Real Property, National...

  20. Parallel architecture for real-time simulation. Master's thesis

    SciTech Connect (OSTI)

    Cockrell, C.D.

    1989-01-01

    This thesis is concerned with the development of a very fast and highly efficient parallel computer architecture for real-time simulation of continuous systems. Currently, several parallel processing systems exist that may be capable of executing a complex simulation in real-time. These systems are examined and the pros and cons of each system discussed. The thesis then introduced a custom-designed parallel architecture based upon The University of Alabama's OPERA architecture. Each component of this system is discussed and rationale presented for its selection. The problem selected, real-time simulation of the Space Shuttle Main Engine for the test and evaluation of the proposed architecture, is explored, identifying the areas where parallelism can be exploited and parallel processing applied. Results from the test and evaluation phase are presented and compared with the results of the same problem that has been processed on a uniprocessor system.

  1. Real-Time Dynamics Monitoring System with Synchronized Phasor Measurements

    Energy Science and Technology Software Center (OSTI)

    2005-01-01

    The Real-Time Dynamics Monitoring System is designed to monitor the dynamics within the power grid and assess the system behavior during normal and disturbance conditions. The RTDMS application was built on the Grid-3P technology platform and takes real-time information collected by Synchronized Phasor Measurement Units (PMU5) or other collection devices and transmitted to a central Phasor Data Concentrator (PDC) for monitoring grid dynamics. The data is sampled 30 times per second and is time-synchronized. Thismore » data is processed to create graphical and geographical displays to provide visualization for frequency/frequency response, voltage magnitudes and angles, voltage angle differences across critical paths as well as real and reactive power-flows on a sub-second and second basis. Software allows for monitoring, tracking, historical data archiving and electric system troubleshooting for reliability management.« less

  2. Integrated real-time fracture-diagnostics instrumentation system

    SciTech Connect (OSTI)

    Engi, D

    1983-01-01

    The use of an integrated, real-time fracture-diagnostics instrumentation system for the control of the fracturing treatment during massive hydraulic fracturing is proposed. The proposed system consists of four subsystems: an internal-fracture-pressure measurement system, a fluid-flow measurement system, a borehole seismic system, and a surface-electric-potential measurement system. This use of borehole seismic and surface-electric-potential measurements, which are essentially away-from-the-wellbore measurements, in conjunction with the use of the more commonly used types of measurements, i.e., at-the-wellbore pressure and fluid-flow measurements, is a distinctive feature of the composite real-time diagnostics system. Currently, the real-time capabilities of the individual subsystems are being developed, and the problems associated with their integration into a complete, computer-linked instrumentation system are being addressed. 2 figures.

  3. Toward Real Time Data Analysis for Smart Grids

    SciTech Connect (OSTI)

    Yin, Jian; Gorton, Ian; Sharma, Poorva

    2012-11-10

    This paper describes the architecture and design of a novel system for supporting large-scale real-time data analysis for future power grid systems. The widespread deployment of renewable generation, smart grid controls, energy storage, plug-in hybrids, and new conducting materials will require fundamental changes in the operational concepts and principal components of the grid. As a result, the whole system becomes highly dynamic and requires constant adjusting based on real time data. Even though millions of sensors such as phase measurement units (PMU) and smart meters are being widely deployed, a data layer that can analyze this amount of data in real time is needed. Unlike the data fabric in other cloud services, the data layer for smart grids has some unique design requirements. First, this layer must provide real time guarantees. Second, this layer must be scalable to allow a large number of applications to access the data from millions of sensors in real time. Third, reliability is critical and this layer must be able to continue to provide service in face of failures. Fourth, this layer must be secure. We address these challenges though a scalable system architecture that integrates the I/O and data processing capability in a devise set of devices. Data process operations can be placed anywhere from sensors, data storage devices, to control centers. We further employ compression to improve performance. We design a lightweight compression customized for power grid data. Our system can reduce end-to-end response time by reduce I/O overhead through compression and overlap compression operations with I/O. The initial prototype of our system was demonstrated with several use cases from PNNL’s FPGI and show that our system can provide real time guarantees to a diverse set of applications.

  4. Towards Real Time Diagnostics of Hybrid Welding Laser/GMAW

    SciTech Connect (OSTI)

    Timothy Mcjunkin; Dennis C. Kunerth; Corrie Nichol; Evgueni Todorov; Steve Levesque; Feng Yu; Robert Danna Couch

    2013-07-01

    Methods are currently being developed towards a more robust system real time feedback in the high throughput process combining laser welding with gas metal arc welding. A combination of ultrasonic, eddy current, electronic monitoring, and visual techniques are being applied to the welding process. Initial simulation and bench top evaluation of proposed real time techniques on weld samples are presented along with the concepts to apply the techniques concurrently to the weld process. Consideration for the eventual code acceptance of the methods and system are also being researched as a component of this project. The goal is to detect defects or precursors to defects and correct when possible during the weld process.

  5. Towards real time diagnostics of Hybrid Welding Laser/GMAW

    SciTech Connect (OSTI)

    McJunkin, T. R.; Kunerth, D. C.; Nichol, C. I. [Idaho National Laboratory, Idaho Falls, ID 83415-3570 (United States); Todorov, E.; Levesque, S. [Edison Welding Institute, Columbus, OH (United States)

    2014-02-18

    Methods are currently being developed towards a more robust system real time feedback in the high throughput process combining laser welding with gas metal arc welding. A combination of ultrasonic, eddy current, electronic monitoring, and visual techniques are being applied to the welding process. Initial simulation and bench top evaluation of proposed real time techniques on weld samples are presented along with the concepts to apply the techniques concurrently to the weld process. Consideration for the eventual code acceptance of the methods and system are also being researched as a component of this project. The goal is to detect defects or precursors to defects and correct when possible during the weld process.

  6. Handheld portable real-time tracking and communications device

    DOE Patents [OSTI]

    Wiseman, James M.; Riblett, Jr., Loren E.; Green, Karl L.; Hunter, John A.; Cook, III, Robert N.; Stevens, James R.

    2012-05-22

    Portable handheld real-time tracking and communications devices include; a controller module, communications module including global positioning and mesh network radio module, data transfer and storage module, and a user interface module enclosed in a water-resistant enclosure. Real-time tracking and communications devices can be used by protective force, security and first responder personnel to provide situational awareness allowing for enhance coordination and effectiveness in rapid response situations. Such devices communicate to other authorized devices via mobile ad-hoc wireless networks, and do not require fixed infrastructure for their operation.

  7. Real-time condition assessment of RAPTOR telescope systems (Conference) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Conference: Real-time condition assessment of RAPTOR telescope systems Citation Details In-Document Search Title: Real-time condition assessment of RAPTOR telescope systems Authors: Stull, Christopher J [1] ; Taylor, Stuart G [1] ; Wren, James [1] ; Mascarenas, David L [1] ; Farrar, Charles R [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2011-05-12 OSTI Identifier: 1067412 Report Number(s): LA-UR-11-02858; LA-UR-11-2858 DOE Contract Number:

  8. Real-time condition assessment of RAPTOR telescope systems (Journal

    Office of Scientific and Technical Information (OSTI)

    Article) | SciTech Connect Journal Article: Real-time condition assessment of RAPTOR telescope systems Citation Details In-Document Search Title: Real-time condition assessment of RAPTOR telescope systems Authors: Stull, Christopher J [1] ; Taylor, Stuart G [1] ; Wren, James [1] ; Mascarenas, David L [1] ; Farrar, Charles R [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2011-09-08 OSTI Identifier: 1095860 Report Number(s): LA-UR-11-05218; LA-UR-11-5218 DOE

  9. Looking at Transistor Gate Oxide Formation in Real Time

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

    Looking at Transistor Gate Oxide Formation in Real Time Looking at Transistor Gate Oxide Formation in Real Time Print Wednesday, 25 June 2008 00:00 The oxide gate layer is critical to every transistor, and present-day layer thicknesses are in the 10-20 Å range (1-2 nm). However, little information exists on the oxidation process at this thickness. Available results are either for thicker layers grown under high-pressure conditions or for only the first couple of monolayers studied under

  10. Integration of Real-Time Data Into Building Automation Systems

    SciTech Connect (OSTI)

    Mark J. Stunder; Perry Sebastian; Brenda A. Chube; Michael D. Koontz

    2003-04-16

    The project goal was to investigate the possibility of using predictive real-time information from the Internet as an input to building management system algorithms. The objectives were to identify the types of information most valuable to commercial and residential building owners, managers, and system designers. To comprehensively investigate and document currently available electronic real-time information suitable for use in building management systems. Verify the reliability of the information and recommend accreditation methods for data and providers. Assess methodologies to automatically retrieve and utilize the information. Characterize equipment required to implement automated integration. Demonstrate the feasibility and benefits of using the information in building management systems. Identify evolutionary control strategies.

  11. A heterogeneous hierarchical architecture for real-time computing

    SciTech Connect (OSTI)

    Skroch, D.A.; Fornaro, R.J.

    1988-12-01

    The need for high-speed data acquisition and control algorithms has prompted continued research in the area of multiprocessor systems and related programming techniques. The result presented here is a unique hardware and software architecture for high-speed real-time computer systems. The implementation of a prototype of this architecture has required the integration of architecture, operating systems and programming languages into a cohesive unit. This report describes a Heterogeneous Hierarchial Architecture for Real-Time (H{sup 2} ART) and system software for program loading and interprocessor communication.

  12. Real-time graphic displays in Mars. [AVLIS process

    SciTech Connect (OSTI)

    Treadway, T.

    1985-12-01

    Real-time diagnostic data of the AVLIS process is displayed in the form of a two-dimensional plot on selected monitors in the Mars Control Room. Each Mars workstation contains a HP2622 terminal for computer interface to the experiment and a Raster Technologies graphic controller driving a Conrac high resolution color monitor for graphics output.

  13. Real-World PHEV Fuel Economy Prediction | Department of Energy

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

    11 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation PDF icon vss047_gonder_2011_o.pdf More Documents & Publications Light Duty Plug-in Hybrid Vehicle Systems Analysis Defining Real World Drive Cycles to Support APRF Technology Evaluations Analysis of maximizing the Synergy between PHEVs/EVs and PV

  14. Cyber security analysis testbed : combining real, emulation, and simulation.

    SciTech Connect (OSTI)

    Villamarin, Charles H.; Eldridge, John M.; Van Leeuwen, Brian P.; Urias, Vincent E.

    2010-07-01

    Cyber security analysis tools are necessary to evaluate the security, reliability, and resilience of networked information systems against cyber attack. It is common practice in modern cyber security analysis to separately utilize real systems of computers, routers, switches, firewalls, computer emulations (e.g., virtual machines) and simulation models to analyze the interplay between cyber threats and safeguards. In contrast, Sandia National Laboratories has developed novel methods to combine these evaluation platforms into a hybrid testbed that combines real, emulated, and simulated components. The combination of real, emulated, and simulated components enables the analysis of security features and components of a networked information system. When performing cyber security analysis on a system of interest, it is critical to realistically represent the subject security components in high fidelity. In some experiments, the security component may be the actual hardware and software with all the surrounding components represented in simulation or with surrogate devices. Sandia National Laboratories has developed a cyber testbed that combines modeling and simulation capabilities with virtual machines and real devices to represent, in varying fidelity, secure networked information system architectures and devices. Using this capability, secure networked information system architectures can be represented in our testbed on a single, unified computing platform. This provides an 'experiment-in-a-box' capability. The result is rapidly-produced, large-scale, relatively low-cost, multi-fidelity representations of networked information systems. These representations enable analysts to quickly investigate cyber threats and test protection approaches and configurations.

  15. U-042: Mac RealPlayer Multiple Vulnerabilities | Department of Energy

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

    42: Mac RealPlayer Multiple Vulnerabilities U-042: Mac RealPlayer Multiple Vulnerabilities November 21, 2011 - 9:15am Addthis PROBLEM: Mac RealPlayer Multiple Vulnerabilities. PLATFORM: Versions 12.0.0.1701 and prior. ABSTRACT: Multiple vulnerabilities have been reported in Mac RealPlayer, which can be exploited by malicious people to compromise a user's system. reference LINKS: Secunia Advisory: SA46963 Secunia Vulnerability Report: Mac RealPlayer 12.x Secunia Advisory: SA46954 IMPACT

  16. Assumptions to the Annual Energy Outlook 2015

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

    6 Macroeconomic Activity Module The Macroeconomic Activity Module (MAM) represents interactions between the U.S. economy and energy markets. How fast the economy grows, as measured by either growth in gross domestic product or industrial shipments, is a key determinant of growth in the demand for energy. Associated economic factors, such as interest rates and disposable income, strongly influence various elements of the supply and demand for energy. At the same time, reactions to energy markets

  17. Medium Truck Duty Cycle Data from Real-World Driving Environments: Final Report

    SciTech Connect (OSTI)

    Lascurain, Mary Beth; Franzese, Oscar; Capps, Gary J; Siekmann, Adam; Thomas, Neil; LaClair, Tim J; Barker, Alan M; Knee, Helmut E

    2012-11-01

    Since the early part of the 20th century, the US trucking industry has provided a safe and economical means of moving commodities across the country. At present, nearly 80% of US domestic freight movement involves the use of trucks. The US Department of Energy (DOE) is spearheading a number of research efforts to improve heavy vehicle fuel efficiencies. This includes research in engine technologies (including hybrid and fuel cell technologies), lightweight materials, advanced fuels, and parasitic loss reductions. In addition, DOE is developing advanced tools and models to support heavy vehicle research and is leading the 21st Century Truck Partnership and the SuperTruck development effort. Both of these efforts have the common goal of decreasing the fuel consumption of heavy vehicles. In the case of SuperTruck, a goal of improving the overall freight efficiency of a combination tractor-trailer has been established. This Medium Truck Duty Cycle (MTDC) project is a critical element in DOE s vision for improved heavy vehicle energy efficiency; it is unique in that there is no other existing national database of characteristic duty cycles for medium trucks based on collecting data from Class 6 and 7 vehicles. It involves the collection of real-world data on medium trucks for various situational characteristics (e.g., rural/urban, freeway/arterial, congested/free-flowing, good/bad weather) and looks at the unique nature of medium trucks drive cycles (stop-and-go delivery, power takeoff, idle time, short-radius trips). This research provides a rich source of data that can contribute to the development of new tools for FE and modeling, provide DOE a sound basis upon which to make technology investment decisions, and provide a national archive of real-world-based medium-truck operational data to support energy efficiency research. The MTDC project involved a two-part field operational test (FOT). For the Part-1 FOT, three vehicles each from two vocations (urban transit and dry-box delivery) were instrumented for the collection of one year of operational data. The Part-2 FOT involved the towing and recovery and utility vocations for a second year of data collection. The vehicles that participated in the MTDC project did so through gratis partnerships in return for early access to the results of this study. Partnerships such as these are critical to FOTs in which real-world data is being collected. In Part 1 of the project, Oak Ridge National Laboratory (ORNL) established partnerships with the H.T. Hackney Company (HTH), one of the largest wholesale distributors in the country, distributing products to 21 states; and with Knoxville Area Transit (KAT), the city of Knoxville s transit system, which operates across Knoxville and parts of Knox County. These partnerships and agreements provided ORNL access to three Class-7 day-cab tractors that regularly haul 28 ft pup trailers (HTH) and three Class-7 buses for the collection of duty cycle data. In addition, ORNL collaborated with the Federal Motor Carrier Safety Administration (FMCSA) to determine if there were possible synergies between this duty cycle data collection effort and FMCSA s need to learn more about the operation and duty cycles of medium trucks. FMCSA s primary interest was in collecting safety data relative to the driver, carrier, and vehicle. In Part 2 of the project, ORNL partnered with the Knoxville Utilities Board, which made available three Class-8 trucks. Fountain City Wrecker Service was also a Part 2 partner, providing three Class-6 rollback trucks. In order to collect the duty cycle and safety-related data, ORNL developed a data acquisition system (DAS) that was placed on each test vehicle. Each signal recorded in this FOT was collected by means of one of the instruments incorporated into each DAS. Other signals were obtained directly from the vehicle s J1939 and J1708 data buses. A VBOX II Lite collected information available from a global positioning system (GPS), including speed, acceleration, and spatial location information at a rate of 5 Hz for the Part 1 FOT. For the Part 2 FOT, this information was obtained from DAS-based GPS instrumentation. The Air-Weigh LoadMaxx, a self-weighing system that determines the vehicle s gross weight by means of pressure transducers, was used to collect vehicle payload information for the combination, urban transit, and towing and recovery vehicles. A cellular modem, the Raven X EVDO V4221, facilitated the communication between the eDAQ-lite (the data collection engine of the system) and the user. The modem functioned as a wireless gateway, allowing data retrievals and system checks to be performed remotely. Also, in partnership with FMCSA, two additional safety sensors were installed on the combination vehicles: the MGM e-Stroke brake monitoring system and the Tire SafeGuard tire pressure monitoring system. All of these sensors posted data to the J1939 data bus, enabling the signals to be read withou...

  18. Medium Truck Duty Cycle Data from Real-World Driving Environments: Project Interim Report

    SciTech Connect (OSTI)

    Franzese, Oscar; Lascurain, Mary Beth; Capps, Gary J

    2011-01-01

    Since the early part of the 20th century, the US trucking industry has provided a safe and economical means of moving commodities across the country. At the present time, nearly 80% of the US domestic freight movement involves the use of trucks. The US Department of Energy (DOE) is spearheading a number of research efforts to improve heavy vehicle fuel efficiencies. This includes research in engine technologies (including hybrid and fuel cell technologies), lightweight materials, advanced fuels, and parasitic loss reductions. In addition, DOE is developing advanced tools and models to support heavy vehicle truck research, and is leading the 21st Century Truck Partnership whose stretch goals involve a reduction by 50% of the fuel consumption of heavy vehicles on a ton-mile basis. This Medium Truck Duty Cycle (MTDC) Project is a critical element in DOE s vision for improved heavy vehicle energy efficiency and is unique in that there is no other national database of characteristic duty cycles for medium trucks. It involves the collection of real-world data for various situational characteristics (rural/urban, freeway/arterial, congested/free-flowing, good/bad weather, etc.) and looks at the unique nature of medium trucks drive cycles (stop-and-go delivery, power takeoff, idle time, short-radius trips), to provide a rich source of data that can contribute to the development of new tools for fuel efficiency and modeling, provide DOE a sound basis upon which to make technology investment decisions, and provide a national archive of real-world-based medium-truck operational data to support heavy vehicle energy efficiency research. The MTDC project involves a two-part field operational test (FOT). For the Part-1 FOT, three vehicles, each from two vocations (urban transit and dry-box delivery) were instrumented for one year of data collection. The Part-2 FOT will involve the towing/recovery and utility vocations. The vehicles participating in the MTDC project are doing so through gratis partnerships in return for early access to the results of this study. Partnerships such as these are critical to FOTs in which real-world data is being collected. In Part 1 of the project, Oak Ridge National Laboratory(ORNL) established partnerships with the H.T. Hackney Company, one of the largest wholesale distributors in the country, distributing products to 21 states; and with the Knoxville Area Transit (KAT), the City of Knoxville s transit system, operating services across the city of Knoxville and parts of Knox co. These partnerships and agreements provided ORNL access to three Class-7 2005/2007 International day-cab tractors, model 8600, which regularly haul 28 ft pup trailers (H.T. Hackney Co) and three Class-7 2005 Optima LF-34 buses (KAT), for collection of duty cycle data. In addition, ORNL has collaborated with the Federal Motor Carrier Safety Administration (FMCSA) to determine if there were possible synergies between this duty cycle data collection effort and FMCSA s need to learn more about the operation and duty cycles of the second-largest fuel consuming commercial vehicle category in the US. FMCSA s primary interest was in collecting safety data relative to the driver, carrier, and vehicle. In order to collect the duty cycle and safety-related data, ORNL developed a data acquisition and wireless communication system that was placed on each test vehicle. Each signal recorded in this FOT was collected by means of one of the instruments incorporated into each data acquisition system (DAS). Native signals were obtained directly from the vehicle s J1939 and J1708 data buses. A VBOX II Lite collected Global Positioning System related information including speed, acceleration, and spatial location information at a rate of 5 Hz, and communicated this data via the CAN (J1939) protocol. The Air-Weigh LoadMaxx, a self-weighing system which determines the vehicle s gross weight by means of pressure transducers and posts the weight to the vehicle s J1939 data bus, was used to collect vehicle payload information. A cellular modem, the Raven X EVDO V4221, facilitated the communication between the eDAQ-lite (the data collection engine of the system) and the user, via the internet. The modem functioned as a wireless gateway, allowing data retrievals and system checks to be performed remotely. Also, and in partnership with FMCSA, two additional safety sensors were installed on the combination vehicles: the MGM e-Stroke brake monitoring system and the Tire SafeGuard tire pressure monitoring system. Both of these systems posted data to the J1939 data bus, enabling these signals to be read without any additional DAS interface hardware. Seventy-three signals from the different deployed sensors and available vehicle systems were collected. Because of the differences in vehicle data buses (i.e., J1939 and J1708 data buses), not all desired signals were available for both types of vehicles. The s...

  19. Real-time multiplexed digital cavity-enhanced spectroscopy

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

    Boyson, Toby K.; Dagdigian, Paul J.; Pavey, Karl D.; Fitzgerald, Nicholas J.; Spence, Thomas G.; Moore, David S.; Harb, Charles C.

    2015-10-01

    Cavity-enhanced spectroscopy is a sensitive optical absorption technique but one where the practical applications have been limited to studying small wavelength ranges. In addition, this Letter shows that wideband operation can be achieved by combining techniques usually reserved for the communications community with that of cavity-enhanced spectroscopy, producing a multiplexed real-time cavity-enhanced spectrometer. We use multiple collinear laser sources operating asynchronously and simultaneously while being detected on a single photodetector. This is synonymous with radio frequency (RF) cellular systems in which signals are detected on a single antenna but decoded uniquely. Here, we demonstrate results with spectra of methyl salicylatemore » and show parts-per-billion per root hertz sensitivity measured in real-time.« less

  20. Real-time multiplexed digital cavity-enhanced spectroscopy

    SciTech Connect (OSTI)

    Boyson, Toby K.; Dagdigian, Paul J.; Pavey, Karl D.; Fitzgerald, Nicholas J.; Spence, Thomas G.; Moore, David S.; Harb, Charles C.

    2015-10-01

    Cavity-enhanced spectroscopy is a sensitive optical absorption technique but one where the practical applications have been limited to studying small wavelength ranges. In addition, this Letter shows that wideband operation can be achieved by combining techniques usually reserved for the communications community with that of cavity-enhanced spectroscopy, producing a multiplexed real-time cavity-enhanced spectrometer. We use multiple collinear laser sources operating asynchronously and simultaneously while being detected on a single photodetector. This is synonymous with radio frequency (RF) cellular systems in which signals are detected on a single antenna but decoded uniquely. Here, we demonstrate results with spectra of methyl salicylate and show parts-per-billion per root hertz sensitivity measured in real-time.

  1. Wide-area, real-time monitoring and visualization system

    DOE Patents [OSTI]

    Budhraja, Vikram S.; Dyer, James D.; Martinez Morales, Carlos A.

    2011-11-15

    A real-time performance monitoring system for monitoring an electric power grid. The electric power grid has a plurality of grid portions, each grid portion corresponding to one of a plurality of control areas. The real-time performance monitoring system includes a monitor computer for monitoring at least one of reliability metrics, generation metrics, transmission metrics, suppliers metrics, grid infrastructure security metrics, and markets metrics for the electric power grid. The data for metrics being monitored by the monitor computer are stored in a data base, and a visualization of the metrics is displayed on at least one display computer having a monitor. The at least one display computer in one said control area enables an operator to monitor the grid portion corresponding to a different said control area.

  2. Wide-area, real-time monitoring and visualization system

    DOE Patents [OSTI]

    Budhraja, Vikram S.; Dyer, James D.; Martinez Morales, Carlos A.

    2013-03-19

    A real-time performance monitoring system for monitoring an electric power grid. The electric power grid has a plurality of grid portions, each grid portion corresponding to one of a plurality of control areas. The real-time performance monitoring system includes a monitor computer for monitoring at least one of reliability metrics, generation metrics, transmission metrics, suppliers metrics, grid infrastructure security metrics, and markets metrics for the electric power grid. The data for metrics being monitored by the monitor computer are stored in a data base, and a visualization of the metrics is displayed on at least one display computer having a monitor. The at least one display computer in one said control area enables an operator to monitor the grid portion corresponding to a different said control area.

  3. Real-time performance monitoring and management system

    DOE Patents [OSTI]

    Budhraja, Vikram S.; Dyer, James D.; Martinez Morales, Carlos A.

    2007-06-19

    A real-time performance monitoring system for monitoring an electric power grid. The electric power grid has a plurality of grid portions, each grid portion corresponding to one of a plurality of control areas. The real-time performance monitoring system includes a monitor computer for monitoring at least one of reliability metrics, generation metrics, transmission metrics, suppliers metrics, grid infrastructure security metrics, and markets metrics for the electric power grid. The data for metrics being monitored by the monitor computer are stored in a data base, and a visualization of the metrics is displayed on at least one display computer having a monitor. The at least one display computer in one said control area enables an operator to monitor the grid portion corresponding to a different said control area.

  4. Real time markerless motion tracking using linked kinematic chains

    DOE Patents [OSTI]

    Luck, Jason P.; Small, Daniel E.

    2007-08-14

    A markerless method is described for tracking the motion of subjects in a three dimensional environment using a model based on linked kinematic chains. The invention is suitable for tracking robotic, animal or human subjects in real-time using a single computer with inexpensive video equipment, and does not require the use of markers or specialized clothing. A simple model of rigid linked segments is constructed of the subject and tracked using three dimensional volumetric data collected by a multiple camera video imaging system. A physics based method is then used to compute forces to align the model with subsequent volumetric data sets in real-time. The method is able to handle occlusion of segments and accommodates joint limits, velocity constraints, and collision constraints and provides for error recovery. The method further provides for elimination of singularities in Jacobian based calculations, which has been problematic in alternative methods.

  5. Tracking Living Cells as They Differentiate in Real Time

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

    Tracking Living Cells as They Differentiate in Real Time Print Protein phosphorylation regulates protein function in a cell, either activating or inactivating the proteins responsible for many cell functions ranging from cell proliferation to differentiation to metabolism to signaling, and even programmed cell death. This chemical process has been studied intensively, but until now it has been impossible to watch phosphorylation at the molecular level without damaging cells or interfering with

  6. Tracking Living Cells as They Differentiate in Real Time

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

    Tracking Living Cells as They Differentiate in Real Time Print Protein phosphorylation regulates protein function in a cell, either activating or inactivating the proteins responsible for many cell functions ranging from cell proliferation to differentiation to metabolism to signaling, and even programmed cell death. This chemical process has been studied intensively, but until now it has been impossible to watch phosphorylation at the molecular level without damaging cells or interfering with

  7. Tracking Living Cells as They Differentiate in Real Time

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

    Tracking Living Cells as They Differentiate in Real Time Print Protein phosphorylation regulates protein function in a cell, either activating or inactivating the proteins responsible for many cell functions ranging from cell proliferation to differentiation to metabolism to signaling, and even programmed cell death. This chemical process has been studied intensively, but until now it has been impossible to watch phosphorylation at the molecular level without damaging cells or interfering with

  8. Tracking Living Cells as They Differentiate in Real Time

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

    Tracking Living Cells as They Differentiate in Real Time Print Protein phosphorylation regulates protein function in a cell, either activating or inactivating the proteins responsible for many cell functions ranging from cell proliferation to differentiation to metabolism to signaling, and even programmed cell death. This chemical process has been studied intensively, but until now it has been impossible to watch phosphorylation at the molecular level without damaging cells or interfering with

  9. Tracking Living Cells as They Differentiate in Real Time

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

    Tracking Living Cells as They Differentiate in Real Time Print Protein phosphorylation regulates protein function in a cell, either activating or inactivating the proteins responsible for many cell functions ranging from cell proliferation to differentiation to metabolism to signaling, and even programmed cell death. This chemical process has been studied intensively, but until now it has been impossible to watch phosphorylation at the molecular level without damaging cells or interfering with

  10. Optical Method for Automated Real Time Control of Elemental Composition,

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

    Distribution, and Film Thickness in CIGS Solar Cell Production - Energy Innovation Portal Find More Like This Return to Search Optical Method for Automated Real Time Control of Elemental Composition, Distribution, and Film Thickness in CIGS Solar Cell Production National Renewable Energy Laboratory Contact NREL About This Technology Technology Marketing Summary The solar industry has shown significant growth over the past decade. From 2002 to 2007 the market for Copper Indium Gallium

  11. Real-Time Chemical Imaging of Bacterial Biofilm Development

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

    Real-Time Chemical Imaging of Bacterial Biofilm Development Print Scientists have developed a robust and label-free method to probe the chemical underpinnings of developing bacterial biofilms. Almost all bacteria can form biofilms-dynamic communities of cells enclosed in self-produced matrices of polymers that stick to other bacteria or surfaces in water-containing environments. Coordinated collectively, these bacteria defend against antagonists, break down recalcitrant materials, and produce

  12. Real-Time Chemical Imaging of Bacterial Biofilm Development

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

    Real-Time Chemical Imaging of Bacterial Biofilm Development Print Scientists have developed a robust and label-free method to probe the chemical underpinnings of developing bacterial biofilms. Almost all bacteria can form biofilms-dynamic communities of cells enclosed in self-produced matrices of polymers that stick to other bacteria or surfaces in water-containing environments. Coordinated collectively, these bacteria defend against antagonists, break down recalcitrant materials, and produce

  13. Real-Time Chemical Imaging of Bacterial Biofilm Development

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

    Real-Time Chemical Imaging of Bacterial Biofilm Development Print Scientists have developed a robust and label-free method to probe the chemical underpinnings of developing bacterial biofilms. Almost all bacteria can form biofilms-dynamic communities of cells enclosed in self-produced matrices of polymers that stick to other bacteria or surfaces in water-containing environments. Coordinated collectively, these bacteria defend against antagonists, break down recalcitrant materials, and produce

  14. Real-Time Chemical Imaging of Bacterial Biofilm Development

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

    Real-Time Chemical Imaging of Bacterial Biofilm Development Print Scientists have developed a robust and label-free method to probe the chemical underpinnings of developing bacterial biofilms. Almost all bacteria can form biofilms-dynamic communities of cells enclosed in self-produced matrices of polymers that stick to other bacteria or surfaces in water-containing environments. Coordinated collectively, these bacteria defend against antagonists, break down recalcitrant materials, and produce

  15. Real-Time Chemical Imaging of Bacterial Biofilm Development

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

    Real-Time Chemical Imaging of Bacterial Biofilm Development Print Scientists have developed a robust and label-free method to probe the chemical underpinnings of developing bacterial biofilms. Almost all bacteria can form biofilms-dynamic communities of cells enclosed in self-produced matrices of polymers that stick to other bacteria or surfaces in water-containing environments. Coordinated collectively, these bacteria defend against antagonists, break down recalcitrant materials, and produce

  16. Real Space Mapping of Oxygen Vacancy Diffusion and Electrochemical

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

    Transformations by Hysteretic Current Reversal Curve Measurements - Energy Innovation Portal Hydrogen and Fuel Cell Hydrogen and Fuel Cell Energy Storage Energy Storage Find More Like This Return to Search Real Space Mapping of Oxygen Vacancy Diffusion and Electrochemical Transformations by Hysteretic Current Reversal Curve Measurements Oak Ridge National Laboratory Contact ORNL About This Technology Technology Marketing SummaryElectrochemical energy storage and conversion systems based on

  17. Real Time Diagnostics for Algae-final-sm

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

    Real-time Monitoring And Diagnostics Detecting pathogens and predators to quickly recover from pond crashes Algal Pond Crash Detection Sandia National Laboratories is developing a suite of complementary technologies to help the emerging algae industry detect and quickly recover from algal pond crashes, an obstacle to large-scale algae cultivation for biofuels. Because of the way algae is grown and produced in most algal ponds, they are prone to attack by fungi, rotifers, viruses or other

  18. Real-Time Airborne Particle Analyzer - Energy Innovation Portal

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

    Find More Like This Return to Search Real-Time Airborne Particle Analyzer Oak Ridge National Laboratory Contact ORNL About This Technology Technology Marketing Summary Particle analysis is useful for determining chemical compositions in a wide range of disciplines, from ascertaining the source of a petroleum sample to duplicating a fragrance. The technique is appealing to a broad cross section of analytical sciences, but its applications are limited because, for existing equipment, sample size

  19. Real-Time Chemical Imaging of Bacterial Biofilm Development

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

    Real-Time Chemical Imaging of Bacterial Biofilm Development Print Scientists have developed a robust and label-free method to probe the chemical underpinnings of developing bacterial biofilms. Almost all bacteria can form biofilms-dynamic communities of cells enclosed in self-produced matrices of polymers that stick to other bacteria or surfaces in water-containing environments. Coordinated collectively, these bacteria defend against antagonists, break down recalcitrant materials, and produce

  20. Real-Time Chemical Imaging of Bacterial Biofilm Development

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

    Real-Time Chemical Imaging of Bacterial Biofilm Development Print Scientists have developed a robust and label-free method to probe the chemical underpinnings of developing bacterial biofilms. Almost all bacteria can form biofilms-dynamic communities of cells enclosed in self-produced matrices of polymers that stick to other bacteria or surfaces in water-containing environments. Coordinated collectively, these bacteria defend against antagonists, break down recalcitrant materials, and produce

  1. Real-Time Chemical Imaging of Bacterial Biofilm Development

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

    Real-Time Chemical Imaging of Bacterial Biofilm Development Print Scientists have developed a robust and label-free method to probe the chemical underpinnings of developing bacterial biofilms. Almost all bacteria can form biofilms-dynamic communities of cells enclosed in self-produced matrices of polymers that stick to other bacteria or surfaces in water-containing environments. Coordinated collectively, these bacteria defend against antagonists, break down recalcitrant materials, and produce

  2. Development of Real-Time, Gas Quality Sensor Technology

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

    Real-Time, Gas Quality Sensor Technology Introduction Landfll gas (LFG), composed largely of methane and carbon dioxide, is used in over 645 operational projects in 48 states. These projects convert a large source of greenhouse gases into a fuel that currently provides approximately 51 trillion Btu of electricity and supplies 108 billion cubic feet of LFG annually to direct use applications and natural gas pipelines. However, there is still a signifcant resource base for new projects, with over

  3. Real-time Pricing Demand Response in Operations

    SciTech Connect (OSTI)

    Widergren, Steven E.; Marinovici, Maria C.; Berliner, Teri; Graves, Alan

    2012-07-26

    AbstractDynamic pricing schemes have been implemented in commercial and industrial application settings, and recently they are getting attention for application to residential customers. Time-of-use and critical-peak-pricing rates are in place in various regions and are being piloted in many more. These programs are proving themselves useful for balancing energy during peak periods; however, real-time (5 minute) pricing signals combined with automation in end-use systems have the potential to deliver even more benefits to operators and consumers. Besides system peak shaving, a real-time pricing system can contribute demand response based on the locational marginal price of electricity, reduce load in response to a generator outage, and respond to local distribution system capacity limiting situations. The US Department of Energy (DOE) is teaming with a mid-west electricity service provider to run a distribution feeder-based retail electricity market that negotiates with residential automation equipment and clears every 5 minutes, thus providing a signal for lowering or raising electric consumption based on operational objectives of economic efficiency and reliability. This paper outlines the capability of the real-time pricing system and the operational scenarios being tested as the system is rolled-out starting in the first half of 2012.

  4. Imaging gene expression in real-time using aptamers

    SciTech Connect (OSTI)

    Shin, Il Chung

    2011-12-13

    Signal transduction pathways are usually activated by external stimuli and are transient. The downstream changes such as transcription of the activated genes are also transient. Real-time detection of promoter activity is useful for understanding changes in gene expression, especially during cell differentiation and in development. A simple and reliable method for viewing gene expression in real time is not yet available. Reporter proteins such as fluorescent proteins and luciferase allow for non-invasive detection of the products of gene expression in living cells. However, current reporter systems do not provide for real-time imaging of promoter activity in living cells. This is because of the long time period after transcription required for fluorescent protein synthesis and maturation. We have developed an RNA reporter system for imaging in real-time to detect changes in promoter activity as they occur. The RNA reporter uses strings of RNA aptamers that constitute IMAGEtags (Intracellular MultiAptamer GEnetic tags), which can be expressed from a promoter of choice. The tobramycin, neomycin and PDC RNA aptamers have been utilized for this system and expressed in yeast from the GAL1 promoter. The IMAGEtag RNA kinetics were quantified by RT-qPCR. In yeast precultured in raffinose containing media the GAL1 promoter responded faster than in yeast precultured in glucose containing media. IMAGEtag RNA has relatively short half-life (5.5 min) in yeast. For imaging, the yeast cells are incubated with their ligands that are labeled with fluorescent dyes. To increase signal to noise, ligands have been separately conjugated with the FRET (Förster resonance energy transfer) pairs, Cy3 and Cy5. With these constructs, the transcribed aptamers can be imaged after activation of the promoter by galactose. FRET was confirmed with three different approaches, which were sensitized emission, acceptor photobleaching and donor lifetime by FLIM (fluorescence lifetime imaging microscopy). Real-time transcription was measured by FLIM-FRET, which was detected by the decrease in donor lifetime resulting from ligand binding to IMAGEtags that were newly synthesized from the activated GAL1 promoter. The FRET signal was specific for transcribed IMAGEtags.

  5. In-situ, Real-Time Monitoring of Mechanical and Chemical Structure...

    Office of Scientific and Technical Information (OSTI)

    In-situ, Real-Time Monitoring of Mechanical and Chemical Structure Changes in a V2O5 ... Title: In-situ, Real-Time Monitoring of Mechanical and Chemical Structure Changes in a ...

  6. In-situ, Real-Time Monitoring of Mechanical and Chemical Structure...

    Office of Scientific and Technical Information (OSTI)

    Conference: In-situ, Real-Time Monitoring of Mechanical and Chemical Structure Changes in ... Title: In-situ, Real-Time Monitoring of Mechanical and Chemical Structure Changes in a ...

  7. Is there a source of help for setting up real time wind turbine...

    Open Energy Info (EERE)

    Is there a source of help for setting up real time wind turbine data reporting ? Home I'd like our students to be able to see historical data as well as real time power generation...

  8. T-545: RealPlayer Heap Corruption Error in 'vidplin.dll' Lets...

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

    T-545: RealPlayer Heap Corruption Error in 'vidplin.dll' Lets Remote Users Execute Arbitrary Code January 28, 2011 - 7:21am Addthis PROBLEM: RealPlayer Heap Corruption Error in ...

  9. Hubbard model corrections in real-space x-ray spectroscopy theory...

    Office of Scientific and Technical Information (OSTI)

    Hubbard model corrections in real-space x-ray spectroscopy theory Citation Details In-Document Search Title: Hubbard model corrections in real-space x-ray spectroscopy theory ...

  10. Measuring "Real World" Heavy-Duty Diesel Emissions with a Mobile...

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

    "Real World" Heavy-Duty Diesel Emissions with a Mobile Lab Measuring "Real World" Heavy-Duty Diesel Emissions with a Mobile Lab 2002 DEER Conference Presentation: University of ...

  11. V-049: RealPlayer Buffer Overflow and Invalid Pointer Flaw Let...

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

    V-049: RealPlayer Buffer Overflow and Invalid Pointer Flaw Let Remote Users Execute ... The vendor has issued a fix (16.0.0.282). Addthis Related Articles V-228: RealPlayer ...

  12. V-228: RealPlayer Buffer Overflow and Memory Corruption Error...

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

    V-228: RealPlayer Buffer Overflow and Memory Corruption Error Let Remote Users Execute ... Lets Remote Users Execute Arbitrary Code V-049: RealPlayer Buffer Overflow and Invalid ...

  13. Real-time Process Monitoring and Temperature Mapping of the 3D...

    Office of Scientific and Technical Information (OSTI)

    Real-time Process Monitoring and Temperature Mapping of the 3D Polymer Printing Process Citation Details In-Document Search Title: Real-time Process Monitoring and Temperature Mapping ...

  14. Real-time Data Access Monitoring in Distributed, Multi-petabyte...

    Office of Scientific and Technical Information (OSTI)

    Real-time Data Access Monitoring in Distributed, Multi-petabyte Systems Citation Details In-Document Search Title: Real-time Data Access Monitoring in Distributed, Multi-petabyte ...

  15. Case Study: The ''Office of Real Soon Now'' for Visualization

    SciTech Connect (OSTI)

    Uselton, S.P.

    2002-03-27

    A variation on the ''Office of Real Soon Now'' has been designed and deployed at Lawrence Livermore National Laboratory (LLNL). The ASCI VIEWS (VIEWS) program [1], the element of the program developing tools for data management and visualization, is investigating a variety of display technologies, motivated in part by the large size, high resolution, and complexity of data sets that ASCI users frequently explore and analyze. While large, tiled displays have been well received at LLNL, availability and ease-of-use problems have motivated exploration of alternatives [2]. The ''Office of Real Soon Now'' Project [3, 4, 5] at the University of North Carolina at Chapel Hill (UNC) has built ''low fidelity'' versions of the ''Office of the Future'' [6, 7] that can be installed in users' offices now. At UNC, the Office of Real Soon Now installations use only a small number of relatively inexpensive projectors,generally two or three, that limit resolution and features. These projectors are connected to Microsoft Windows PCs or Apple computers that are used for daily activities, such as reading email, writing papers, and debugging programs. Even though the UNC faculty involved are predominantly computer graphics researchers, these display systems are used mainly for text-oriented applications [5]. Designing, developing, and deploying an office-based system at LLNL would provide opportunities to adapt the system to our specific uses and to evaluate such systems for a range of tasks beyond those typically found at UNC. The goals of the LLNL display system are to exceed previous UNC versions in resolution, to run Unix-based applications, and to support interactive visualization of simulation data better than can be done via current workstations and monitors.

  16. Real-time human collaboration monitoring and intervention

    DOE Patents [OSTI]

    Merkle, Peter B.; Johnson, Curtis M.; Jones, Wendell B.; Yonas, Gerold; Doser, Adele B.; Warner, David J.

    2010-07-13

    A method of and apparatus for monitoring and intervening in, in real time, a collaboration between a plurality of subjects comprising measuring indicia of physiological and cognitive states of each of the plurality of subjects, communicating the indicia to a monitoring computer system, with the monitoring computer system, comparing the indicia with one or more models of previous collaborative performance of one or more of the plurality of subjects, and with the monitoring computer system, employing the results of the comparison to communicate commands or suggestions to one or more of the plurality of subjects.

  17. Continuous real-time measurement of aqueous cyanide

    DOE Patents [OSTI]

    Rosentreter, Jeffrey J.; Gering, Kevin L.

    2007-03-06

    This invention provides a method and system capable of the continuous, real-time measurement of low concentrations of aqueous free cyanide (CN) using an on-line, flow through system. The system is based on the selective reactivity of cyanide anions and the characteristically nonreactive nature of metallic gold films, wherein this selective reactivity is exploited as an indirect measurement for aqueous cyanide. In the present invention the dissolution of gold, due to the solubilization reaction with the analyte cyanide anion, is monitored using a piezoelectric microbalance contained within a flow cell.

  18. Real Time Technology Application Demonstration Project Final Report

    SciTech Connect (OSTI)

    Volpe, John; Hampson, Steve; Johnson, Robert L

    2008-09-01

    The work and results described in this final report pertain to the demonstration of real-time characterization technologies applied to potentially contaminated surface soils in and around Area of Concern (AOC) 492 at the Paducah Gaseous Diffusion Plant (PGDP). The work was conducted under the auspices of Kentucky Research Consortium for Energy and Environment (KRCEE). KRCEE was created to support the Department of Energy's (DOE) efforts to complete the expeditious and economically viable environmental restoration of the Paducah Gaseous Diffusion Plant (PGDP), the Western Kentucky Wildlife Management Area (WKWMA), and surrounding areas.

  19. Real-time nonlinear optimization as a generalized equation.

    SciTech Connect (OSTI)

    Zavala, V. M.; Anitescu, M. (Mathematics and Computer Science)

    2010-11-11

    We establish results for the problem of tracking a time-dependent manifold arising in real-time optimization by casting this as a parametric generalized equation. We demonstrate that if points along a solution manifold are consistently strongly regular, it is possible to track the manifold approximately by solving a single linear complementarity problem (LCP) at each time step. We derive sufficient conditions guaranteeing that the tracking error remains bounded to second order with the size of the time step even if the LCP is solved only approximately. We use these results to derive a fast, augmented Lagrangian tracking algorithm and demonstrate the developments through a numerical case study.

  20. Near real time vapor detection and enhancement using aerosol adsorption

    DOE Patents [OSTI]

    Novick, Vincent J.; Johnson, Stanley A.

    1999-01-01

    A vapor sample detection method where the vapor sample contains vapor and ambient air and surrounding natural background particles. The vapor sample detection method includes the steps of generating a supply of aerosol that have a particular effective median particle size, mixing the aerosol with the vapor sample forming aerosol and adsorbed vapor suspended in an air stream, impacting the suspended aerosol and adsorbed vapor upon a reflecting element, alternatively directing infrared light to the impacted aerosol and adsorbed vapor, detecting and analyzing the alternatively directed infrared light in essentially real time using a spectrometer and a microcomputer and identifying the vapor sample.

  1. Near real time vapor detection and enhancement using aerosol adsorption

    DOE Patents [OSTI]

    Novick, V.J.; Johnson, S.A.

    1999-08-03

    A vapor sample detection method is described where the vapor sample contains vapor and ambient air and surrounding natural background particles. The vapor sample detection method includes the steps of generating a supply of aerosol that have a particular effective median particle size, mixing the aerosol with the vapor sample forming aerosol and adsorbed vapor suspended in an air stream, impacting the suspended aerosol and adsorbed vapor upon a reflecting element, alternatively directing infrared light to the impacted aerosol and adsorbed vapor, detecting and analyzing the alternatively directed infrared light in essentially real time using a spectrometer and a microcomputer and identifying the vapor sample. 13 figs.

  2. Looking at Transistor Gate Oxide Formation in Real Time

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

    Looking at Transistor Gate Oxide Formation in Real Time Print The oxide gate layer is critical to every transistor, and present-day layer thicknesses are in the 10-20 Å range (1-2 nm). However, little information exists on the oxidation process at this thickness. Available results are either for thicker layers grown under high-pressure conditions or for only the first couple of monolayers studied under high-vacuum conditions. Now, for the first time, a group of researchers has obtained

  3. Looking at Transistor Gate Oxide Formation in Real Time

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

    Looking at Transistor Gate Oxide Formation in Real Time Print The oxide gate layer is critical to every transistor, and present-day layer thicknesses are in the 10-20 Å range (1-2 nm). However, little information exists on the oxidation process at this thickness. Available results are either for thicker layers grown under high-pressure conditions or for only the first couple of monolayers studied under high-vacuum conditions. Now, for the first time, a group of researchers has obtained

  4. Looking at Transistor Gate Oxide Formation in Real Time

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

    Looking at Transistor Gate Oxide Formation in Real Time Print The oxide gate layer is critical to every transistor, and present-day layer thicknesses are in the 10-20 Å range (1-2 nm). However, little information exists on the oxidation process at this thickness. Available results are either for thicker layers grown under high-pressure conditions or for only the first couple of monolayers studied under high-vacuum conditions. Now, for the first time, a group of researchers has obtained

  5. Looking at Transistor Gate Oxide Formation in Real Time

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

    Looking at Transistor Gate Oxide Formation in Real Time Print The oxide gate layer is critical to every transistor, and present-day layer thicknesses are in the 10-20 Å range (1-2 nm). However, little information exists on the oxidation process at this thickness. Available results are either for thicker layers grown under high-pressure conditions or for only the first couple of monolayers studied under high-vacuum conditions. Now, for the first time, a group of researchers has obtained

  6. Looking at Transistor Gate Oxide Formation in Real Time

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

    Looking at Transistor Gate Oxide Formation in Real Time Print The oxide gate layer is critical to every transistor, and present-day layer thicknesses are in the 10-20 Å range (1-2 nm). However, little information exists on the oxidation process at this thickness. Available results are either for thicker layers grown under high-pressure conditions or for only the first couple of monolayers studied under high-vacuum conditions. Now, for the first time, a group of researchers has obtained

  7. Looking at Transistor Gate Oxide Formation in Real Time

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

    Looking at Transistor Gate Oxide Formation in Real Time Print The oxide gate layer is critical to every transistor, and present-day layer thicknesses are in the 10-20 Å range (1-2 nm). However, little information exists on the oxidation process at this thickness. Available results are either for thicker layers grown under high-pressure conditions or for only the first couple of monolayers studied under high-vacuum conditions. Now, for the first time, a group of researchers has obtained

  8. Looking at Transistor Gate Oxide Formation in Real Time

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

    Looking at Transistor Gate Oxide Formation in Real Time Print The oxide gate layer is critical to every transistor, and present-day layer thicknesses are in the 10-20 Å range (1-2 nm). However, little information exists on the oxidation process at this thickness. Available results are either for thicker layers grown under high-pressure conditions or for only the first couple of monolayers studied under high-vacuum conditions. Now, for the first time, a group of researchers has obtained

  9. Business Models and Case Examples for Working with the Real Estate Sector |

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

    Department of Energy Business Models and Case Examples for Working with the Real Estate Sector Business Models and Case Examples for Working with the Real Estate Sector Better Buildings Neighborhood Program: Business Models and Case Examples for Working with the Real Estate Sector, May 10, 2012: A discussion of business models and case examples for working with the real estate sector. Call Slides and Discussion Summary, May 10, 2012. PDF icon Call Slides and Discussion Summary More Documents

  10. Comparison of Real World Energy Consumption to Models and DOE Test

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

    Procedures | Department of Energy Comparison of Real World Energy Consumption to Models and DOE Test Procedures Comparison of Real World Energy Consumption to Models and DOE Test Procedures This study investigates the real-world energy performance of appliances and equipment as it compares with models and test procedures. The study looked to determine whether DOE and industry test procedures actually replicate real world conditions, whether performance degrades over time, and whether

  11. Managing a Real-Time Embedded Linux Platform with Buildroot (Conference) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Conference: Managing a Real-Time Embedded Linux Platform with Buildroot Citation Details In-Document Search Title: Managing a Real-Time Embedded Linux Platform with Buildroot Developers of real-time embedded software often need to build the operating system, kernel, tools and supporting applications from source to work with the differences in their hardware configuration. The first attempts to introduce Linux-based real-time embedded systems into the Fermilab accelerator

  12. FY 2014 Real Property Data Related to Operations and Maintenance Guidance |

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

    Department of Energy Real Property Data Related to Operations and Maintenance Guidance FY 2014 Real Property Data Related to Operations and Maintenance Guidance PDF icon FY_2014_Data_Related_to_Operations_and_Maintenance_Memorandum.pdf More Documents & Publications FY 2013 Real Property Deferred, Actual, and Required Maintenance Reporting Requirement Guidance for Fiscal Year 2015 Facilities Information Management System Data Validations FY 2012 Real Property Deferred, Actual, and

  13. Acquisition Guide Chapter 17.3, Acquisition, Use, and Disposal of Real

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

    Estate | Department of Energy 3, Acquisition, Use, and Disposal of Real Estate Acquisition Guide Chapter 17.3, Acquisition, Use, and Disposal of Real Estate The Acquisition Guide Chapter 17.3, Acquisition, Use, and Disposal of Real Estate, is updated to include the involvement of Certified Realty Specialist. PDF icon PF2011-61 Acquisition Guide chapter 17.3, Acquisition, Use, and Disposal of Real Estate More Documents & Publications OPAM Policy Acquisition Guides Acquisition, Use, and

  14. REAL TIME ULTRASONIC ALUMINUM SPOT WELD MONITORING SYSTEM

    SciTech Connect (OSTI)

    Regalado, W. Perez; Chertov, A. M.; Maev, R. Gr. [Institute for Diagnostic Imaging Research, Physics Department, University of Windsor, 292 Essex Hall, 401 Sunset Ave. N9B 3P4 Windsor, Ontario (Canada)

    2010-02-22

    Aluminum alloys pose several properties that make them one of the most popular engineering materials: they have excellent corrosion resistance, and high weight-to-strength ratio. Resistance spot welding of aluminum alloys is widely used today but oxide film and aluminum thermal and electrical properties make spot welding a difficult task. Electrode degradation due to pitting, alloying and mushrooming decreases the weld quality and adjustment of parameters like current and force is required. To realize these adjustments and ensure weld quality, a tool to measure weld quality in real time is required. In this paper, a real time ultrasonic non-destructive evaluation system for aluminum spot welds is presented. The system is able to monitor nugget growth while the spot weld is being made. This is achieved by interpreting the echoes of an ultrasound transducer located in one of the welding electrodes. The transducer receives and transmits an ultrasound signal at different times during the welding cycle. Valuable information of the weld quality is embedded in this signal. The system is able to determine the weld nugget diameter by measuring the delays of the ultrasound signals received during the complete welding cycle. The article presents the system performance on aluminum alloy AA6022.

  15. Real-time individualized training vectors for experiential learning.

    SciTech Connect (OSTI)

    Willis, Matt; Tucker, Eilish Marie; Raybourn, Elaine Marie; Glickman, Matthew R.; Fabian, Nathan

    2011-01-01

    Military training utilizing serious games or virtual worlds potentially generate data that can be mined to better understand how trainees learn in experiential exercises. Few data mining approaches for deployed military training games exist. Opportunities exist to collect and analyze these data, as well as to construct a full-history learner model. Outcomes discussed in the present document include results from a quasi-experimental research study on military game-based experiential learning, the deployment of an online game for training evidence collection, and results from a proof-of-concept pilot study on the development of individualized training vectors. This Lab Directed Research & Development (LDRD) project leveraged products within projects, such as Titan (Network Grand Challenge), Real-Time Feedback and Evaluation System, (America's Army Adaptive Thinking and Leadership, DARWARS Ambush! NK), and Dynamic Bayesian Networks to investigate whether machine learning capabilities could perform real-time, in-game similarity vectors of learner performance, toward adaptation of content delivery, and quantitative measurement of experiential learning.

  16. Monitoring external beam radiotherapy using real-time beam visualization

    SciTech Connect (OSTI)

    Jenkins, Cesare H.; Naczynski, Dominik J.; Yu, Shu-Jung S.; Xing, Lei

    2015-01-15

    Purpose: To characterize the performance of a novel radiation therapy monitoring technique that utilizes a flexible scintillating film, common optical detectors, and image processing algorithms for real-time beam visualization (RT-BV). Methods: Scintillating films were formed by mixing Gd{sub 2}O{sub 2}S:Tb (GOS) with silicone and casting the mixture at room temperature. The films were placed in the path of therapeutic beams generated by medical linear accelerators (LINAC). The emitted light was subsequently captured using a CMOS digital camera. Image processing algorithms were used to extract the intensity, shape, and location of the radiation field at various beam energies, dose rates, and collimator locations. The measurement results were compared with known collimator settings to validate the performance of the imaging system. Results: The RT-BV system achieved a sufficient contrast-to-noise ratio to enable real-time monitoring of the LINAC beam at 20 fps with normal ambient lighting in the LINAC room. The RT-BV system successfully identified collimator movements with sub-millimeter resolution. Conclusions: The RT-BV system is capable of localizing radiation therapy beams with sub-millimeter precision and tracking beam movement at video-rate exposure.

  17. Quantitative real-time single particle analysis of virions

    SciTech Connect (OSTI)

    Heider, Susanne; Metzner, Christoph

    2014-08-15

    Providing information about single virus particles has for a long time been mainly the domain of electron microscopy. More recently, technologies have been developed—or adapted from other fields, such as nanotechnology—to allow for the real-time quantification of physical virion particles, while supplying additional information such as particle diameter concomitantly. These technologies have progressed to the stage of commercialization increasing the speed of viral titer measurements from hours to minutes, thus providing a significant advantage for many aspects of virology research and biotechnology applications. Additional advantages lie in the broad spectrum of virus species that may be measured and the possibility to determine the ratio of infectious to total particles. A series of disadvantages remain associated with these technologies, such as a low specificity for viral particles. In this review we will discuss these technologies by comparing four systems for real-time single virus particle analysis and quantification. - Highlights: • We introduce four methods for virus particle-based quantification of viruses. • They allow for quantification of a wide range of samples in under an hour time. • The additional measurement of size and zeta potential is possible for some.

  18. V-049: RealPlayer Buffer Overflow and Invalid Pointer Flaw Let Remote Users

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

    Execute Arbitrary Code | Department of Energy 9: RealPlayer Buffer Overflow and Invalid Pointer Flaw Let Remote Users Execute Arbitrary Code V-049: RealPlayer Buffer Overflow and Invalid Pointer Flaw Let Remote Users Execute Arbitrary Code December 18, 2012 - 1:30am Addthis PROBLEM: RealPlayer Buffer Overflow and Invalid Pointer Flaw Let Remote Users Execute Arbitrary Code PLATFORM: Windows RealPlayer 15.0.6.14 and prior. ABSTRACT: Two vulnerabilities were reported in RealPlayer. REFERENCE

  19. V-114: RealPlayer MP4 Processing Buffer Overflow Vulnerability | Department

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

    of Energy 14: RealPlayer MP4 Processing Buffer Overflow Vulnerability V-114: RealPlayer MP4 Processing Buffer Overflow Vulnerability March 19, 2013 - 12:01am Addthis PROBLEM: RealPlayer MP4 Processing Buffer Overflow Vulnerability PLATFORM: Versions prior to 16.0.1.18. ABSTRACT: A vulnerability has been reported in RealPlayer REFERENCE LINKS: RealNetworks, Inc Secunia Advisory SA52692 CVE-2013-1750 IMPACT ASSESSMENT: High DISCUSSION: The vulnerability is caused due to an error when

  20. Task 1. Monitoring real time materials degradation. NRC extended In-situ and real-time Zonitoring

    SciTech Connect (OSTI)

    Bakhtiari, Sasan

    2012-03-01

    The overall objective of this project was to perform a scoping study to identify, in concert with the nuclear industry, those sensors and techniques that have the most promising commercial viability and fill a critical inspection or monitoring need. Candidates to be considered include sensors to monitor real-time material degradation, characterize residual stress, monitor and inspect component fabrication, assess radionuclide and associated chemical species concentrations in ground water and soil, characterize fuel properties, and monitor severe accident conditions. Under Task 1—Monitoring Real-Time Materials Degradation—scoping studies were conducted to assess the feasibility of potential inspection and monitoring technologies (i.e., a combination of sensors, advanced signal processing techniques, and data analysis methods) that could be utilized in LWR and/or advanced reactor applications for continuous monitoring of degradation in-situ. The goal was to identify those techniques that appear to be the most promising, i.e., those that are closest to being both technically and commercially viable and that the nuclear industry is most likely to pursue. Current limitations and associated issues that must be overcome before commercial application of certain techniques have also been addressed.