National Library of Energy BETA

Sample records for mfw estimates figures

  1. Microsoft Word - Figure_06.doc

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

    90 0 10 20 30 40 50 60 70 80 90 100 2012 2013 2014 2015 2016 Residential Commercial Industrial percentage Figure 6 Sources: Energy Information Administration (EIA): Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to Consumers," and Form EIA-910, "Monthly Natural Gas Marketer Survey." Figure 6. Percentage of total deliveries included in residential, commercial, and industrial price estimates, 2012-2015

  2. Microsoft Word - Figure_02

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

    6 0.0 0.2 0.4 0.6 0.8 1.0 1.2 2012 2013 2014 2015 2016 Residential Commercial trillion cubic feet Figure 2 0.0 0.2 0.4 0.6 0.8 1.0 1.2 2012 2013 2014 2015 2016 Industrial Electric Power trillion cubic feet Sources: 2012-2014: Energy Information Administration (EIA): Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to Consumers"; Form EIA-923, "Power Plant Operations Report"; EIA computations; and Natural Gas Annual 2014. January 2015 through current

  3. Working Gas in Underground Storage Figure

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

    Working Gas in Underground Storage Figure Working Gas in Underground Storage Figure Working Gas in Underground Storage Compared with 5-Year Range Graph....

  4. Microsoft Word - figure_22.doc

    Gasoline and Diesel Fuel Update (EIA)

    8 Figure 22. Average price of natural gas delivered to U.S. residential consumers, 2014 (dollars per thousand cubic feet) U.S. Energy Information Administration | Natural Gas Annual 7.00-9.99 10.00-11.99 12.00-13.99 14.00-15.99 16.00-17.99 18

  5. Microsoft Word - figure_23.doc

    Gasoline and Diesel Fuel Update (EIA)

    9 Figure 23. Average price of natural gas delivered to U.S. commercial consumers, 2014 (dollars per thousand cubic feet) U.S. Energy Information Administration | Natural Gas Annual 6.00-6.99 7.00-7.99 8.00-8.99 9.00-9.99 10.00-10.99 11

  6. Working Gas in Underground Storage Figure

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

    Gas in Underground Storage Figure Working Gas in Underground Storage Compared with 5-Year Range Graph...

  7. Microsoft Word - Figure_01.doc

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

    February 2016 U.S. Energy Information Administration | Natural Gas Monthly 4 0.00 0.25 0.50 0.75 1.00 1.25 1.50 1.75 2.00 2.25 2.50 2.75 3.00 3.25 3.50 2012 2013 2014 2015 2016 Production of Dry Gas Total Consumption Net Imports trillion cubic feet Figure 1. Production, consumption, and net imports of natural gas in the United States, 2012-2015 Sources: 2012-2014: Energy Information Administration (EIA), Natural Gas Annual 2014. January 2015 through current month: Form EIA-914, "Monthly

  8. Microsoft Word - figure_03.doc

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

    2014 10 U.S. Energy Information Administration | Natural Gas Annual Figure 3. Marketed production of natural gas in the United States and the Gulf of Mexico, 2014 (million cubic feet) None 1-15,000 15,001-100,000 100,001-200,000 200,001-500,000 500,001 and over Sources: Energy Information Administration (EIA), Form EIA-895, "Annual Quantity and Value of Natural Gas Report"; Form EIA-914, "Monthly Natural Gas Production Report"; state agencies; Form EIA-23, "Annual Survey

  9. Microsoft Word - figure_16.doc

    Gasoline and Diesel Fuel Update (EIA)

    2 4 6 8 10 2010 2011 2012 2013 2014 Residential Commercial Industrial Electric Po wer Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-920, "Combined Heat and Power Plant Report"; and Form EIA-923, "Power Plant Operations Report." Figure 16. Natural gas delivered to consumers in the United States, 2010-2014 trillion cubic feet 2014 U.S. Energy Information Administration |

  10. Microsoft Word - figure_21.doc

    Gasoline and Diesel Fuel Update (EIA)

    5 Figure 21. Average citygate price of natural gas in the United States, 2014 (dollars per thousand cubic feet) U.S. Energy Information Administration | Natural Gas Annual 3.00-3.99 4.00-4.99 5.00-5.99 6.00-6.99 7.00-7.99 8.00+ Note: Prices are in nominal dollars. Citygate price not applicable in the District of Columbia. Sources: Energy Information Administration (EIA), Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to Consumers."

  11. Microsoft Word - figure_24.doc

    Gasoline and Diesel Fuel Update (EIA)

    0 Figure 24. Average price of natural gas delivered to U.S. onsystem industrial consumers, 2014 (dollars per thousand cubic feet) U.S. Energy Information Administration | Natural Gas Annual 3.50-4.99 5.00-6.49 6.50-7.99 8.00-9.49 9.50-10.99 11.00+ Note: Prices are in nominal dollars. Industrial consumption of natural gas in the District of Columbia equals 0; therefore, the price is not applicable. Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and

  12. Microsoft Word - figure_25.doc

    Gasoline and Diesel Fuel Update (EIA)

    1 Figure 25. Average price of natural gas delivered to U.S. electric power consumers, 2014 (dollars per thousand cubic feet) U.S. Energy Information Administration | Natural Gas Annual Withheld < 3.00 3.00-3.99 4.00-4.99 5.00-5.99 6.00+ Note: Prices are in nominal dollars. Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," and Form EIA-910, "Monthly Natural Gas Marketer Survey."

  13. Microsoft Word - Figure_01.doc

    Gasoline and Diesel Fuel Update (EIA)

    3 Figure 1. Selected average prices of natural gas in the United States, 2010-2014 0 1 2 3 4 5 6 7 2010 2011 2012 2013 2014 E xports Im ports C itygate dollars per thousand cubic feet Note: Prices are in nominal dollars. Sources: Energy Information Administration (EIA), Form EIA-895, "Annual Quantity and Value of Natural Gas Report"; Form EIA-914, "Monthly Natural Gas Production Report"; Office of Fossil Energy, U.S. Department of Energy, Natural Gas Imports and Exports; Form

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

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

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

  15. PHOBOS Experiment: Figures and Data

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

    The PHOBOS Collaboration

    PHOBOS consists of many silicon detectors surrounding the interaction region. With these detectors physicists can count the total number of produced particles and study the angular distributions of all the products. Physicists know from other branches of physics that a characteristic of phase transitions are fluctuations in physical observables. With the PHOBOS array they look for unusual events or fluctuations in the number of particles and angular distribution. The articles that have appeared in refereed science journals are listed here with separate links to the supporting data plots, figures, and tables of numeric data. See also supporting data for articles in technical journals at http://www.phobos.bnl.gov/Publications/Technical/phobos_technical_publications.htm and from conference proceedings at http://www.phobos.bnl.gov/Publications/Proceedings/phobos_proceedings_publications.htm

  16. Microsoft Word - figure_04.doc

    Gasoline and Diesel Fuel Update (EIA)

    11 0 1 2 3 4 5 6 7 8 T e x a s P e n n s y l v a n i a O k l a h o m a L o u i s i a n a W y o m i n g C o l o r a d o G u l f o f M e x i c o N e w M e x i c o A r k a n s a s W e s t V i r g i n i a A l l O t h e r S t a t e s 2013 2014 Figure 4. Marketed production of natural gas in selected states and the Gulf of Mexico, 2013-2014 trillion cubic feet Sources: Energy Information Administration (EIA), Form EIA-895, "Annual Quantity and Value of Natural Gas Report"; Form EIA-914,

  17. Microsoft Word - figure_14.doc

    Gasoline and Diesel Fuel Update (EIA)

    42 Figure 14. Net interstate movements, imports, and exports of natural gas in the United States, 2014 (million cubic feet) Norway Trinidad/ Tobago Yemen Trinidad/ Tobago Interstate Movements Not Shown on Map From Volume To From Volume To CT RI Other TX IN MA RI MA MA CT VA DC MD DC VT MA NH MA WA M T I D O R W Y ND SD C A N V U T CO NE KS A Z NM OK TX MN WI MI IA I L IN OH MO AR M S AL GA T N KY FL SC NC WV MD DE VA PA NJ NY CT RI MA VT NH ME LA HI A K Mexico C a n a d a C a n a d a Canada

  18. Microsoft Word - figure_18.doc

    Gasoline and Diesel Fuel Update (EIA)

    6 11.5 42.5 82.8 11.7 44.2 83.7 12.9 46.8 83.8 13.8 46.1 83.4 46.2 84.1 14.4 0 10 20 30 40 50 60 70 80 90 100 Residential Commercial Industrial 2010 2011 2012 2013 2014 Note: These deliveries included quantities covered by long-term contracts and gas involved in short-term or spot market sales. Source: Energy Information Administration (EIA), Form EIA -176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." Figure 18. Percent of natural gas deliveries in the United

  19. Microsoft Word - figure_99.doc

    Gasoline and Diesel Fuel Update (EIA)

    7 U.S. Energy Information Administration | Natural Gas Annual Figure 6. Natural gas processing in the United States and the Gulf of Mexico, 2014 (million cubic feet) None 1-15,000 15,001-100,000 100,001-200,000 200,001-500,000 500,001 and over Sources: Energy Information Administration (EIA), Form EIA-64A, "Annual Report of the Origin of Natural Gas Liquids Production." IN OH TN WV VA KY MD PA NY VT NH MA CT ME RI DE DC NC SC GA FL NJ AL MS LA MO AR TX NM OK CO KS UT AZ WY NE IL IA MN

  20. PHOBOS Experiment: Figures and Data

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

    The PHOBOS Collaboration

    PHOBOS consists of many silicon detectors surrounding the interaction region. With these detectors physicists can count the total number of produced particles and study the angular distributions of all the products. Physicists know from other branches of physics that a characteristic of phase transitions are fluctuations in physical observables. With the PHOBOS array they look for unusual events or fluctuations in the number of particles and angular distribution. The articles that have appeared in refereed science journals are listed here with separate links to the supporting data plots, figures, and tables of numeric data.  See also supporting data for articles in technical journals at http://www.phobos.bnl.gov/Publications/Technical/phobos_technical_publications.htm and from conference proceedings at http://www.phobos.bnl.gov/Publications/Proceedings/phobos_proceedings_publications.htm

  1. Microsoft Word - Figure_15_2015.docx

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration (EIA), Form EIA-191M, "Monthly Underground Gas Storage Report." U.S. Energy Information Administration | Natural Gas Annual Figure 15. Locations of ...

  2. Microsoft Word - figure_07-2015.doc

    Gasoline and Diesel Fuel Update (EIA)

    1 Source: Office of Fossil Energy, U.S. Department of Energy, Natural Gas Imports and Exports. Figure 7. U.S. natural gas trade summary, 2010-2014 0 0.5 1 1.5 2 2.5 3 3.5 4 2010 2011 2012 2013 2014 Total Imports Total Exports Net Imports trillion cubic feet

  3. Microsoft Word - Figure_13_2015.doc

    Gasoline and Diesel Fuel Update (EIA)

    35 2014 Flow Capacity (million cubic feet per day) Figure 13. Principal Interstate Natural Gas Flow Capacity Summary, 2014 Source: Energy Information Administration, Office of Oil, Gas, and Coal Supply Statistics. = Direction of Flow = Bi-directional 15,000 12,000 9,000 6,000 3,000 0

  4. Figure ES1. Map of Northern Alaska

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

    Figure ES1. Map of Northern Alaska figurees1.jpg (61418 bytes) Source: Edited from U.S. Geological Survey, "The Oil and Gas Resource Potential of the Arctic National Wildlife Refuge 1002 Area, Alaska," Open File Report 98-34, 1999. Return to the Executive Summary.

  5. I.D I VI Figure

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

    ~press - ,~,.--;~ 3.1 ,,~-.::;:.--- ~ ( 3.1 ( ;-; t\ I.D I VI Figure 9-1. Location of the original Cypress Grove Set-Aside and the Stave Island and Georgia Power replacement Areas. Set-Aside 9: Cypress Grove, Stave Island, and Georgia Power

  6. Figure correction of multilayer coated optics

    DOE Patents [OSTI]

    Chapman; Henry N. (Livermore, CA), Taylor; John S. (Livermore, CA)

    2010-02-16

    A process is provided for producing near-perfect optical surfaces, for EUV and soft-x-ray optics. The method involves polishing or otherwise figuring the multilayer coating that has been deposited on an optical substrate, in order to correct for errors in the figure of the substrate and coating. A method such as ion-beam milling is used to remove material from the multilayer coating by an amount that varies in a specified way across the substrate. The phase of the EUV light that is reflected from the multilayer will be affected by the amount of multilayer material removed, but this effect will be reduced by a factor of 1-n as compared with height variations of the substrate, where n is the average refractive index of the multilayer.

  7. Microsoft Word - Figure_09-2015.doc

    Gasoline and Diesel Fuel Update (EIA)

    3 Canada Mexico Figure 9. Flow of natural gas imports, 2014 (billion cubic feet) Source: Energy Information Administration, based on data from the Office of Fossil Energy, U.S. Department of Energy, Natural Gas Imports and Exports. 12 29 608 200 United States 6 1 Trinidad/Tobago Other 6 Norway 6 Yemen 541 433 329 21 143 359 3 7 6 8 4

  8. Microsoft Word - Figure_03_04

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

    0 2 4 6 8 10 12 14 16 18 20 22 2012 2013 2014 2015 2016 R esidential C ommercial Industrial Electric Pow er C itygate dollars per thousand cubic feet Figure 3 and 4 0 2 4 6 8 10 12 14 16 18 20 22 2012 2013 2014 2015 2016 N GPL C omposite Spot Price N G Spot Price at H enry H ub dollars per thousand cubic feet Note: Prices are in nominal dollars. Sources: 2012-2014: Energy Information Administration (EIA), Natural Gas Annual 2014. January 2015 through current month: Form EIA-857, "Monthly

  9. Microsoft Word - figure_02_2015.doc

    Gasoline and Diesel Fuel Update (EIA)

    Figure 2. Natural gas supply and disposition in the United States, 2014 (trillion cubic feet) Natural Gas Plant Liquids Production Gross Withdrawals From Gas and Oil Wells Nonhydrocarbon Gases Removed Vented/Flared Reservoir Repressuring Production Dry Gas Imports Canada Trinidad/Tobago Natural Gas Storage Facilities Exports Canada Mexico Additions Withdrawals Gas Industry Use Residential Commercial Industrial Vehicle Fuel Electric Power 31.3 0.4 0.3 3.3 2.635 0.043 0.729 0.770 25.7 1.6 3.9 3.6

  10. Microsoft Word - figure_10_2015.doc

    Gasoline and Diesel Fuel Update (EIA)

    4 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 2014 2013 2012 2011 2010 Pipeline Imports LNG Imports * In 2014, 303 million cubic feet of compressed natural gas (CNG) were imported from Canada. Source: Office of Fossil Energy, U.S. Department of Energy, "Natural Gas Imports and Exports." trillion cubic feet * Figure 10. U.S. natural gas imports by type, 2010-2014

  11. Microsoft Word - figure_12-2015.doc

    Gasoline and Diesel Fuel Update (EIA)

    9 0.0 0.5 1.0 1.5 2.0 2014 2013 2012 2011 2010 Pipeline Exports LNG Exports LNG Re-exports * In 2013, 115 million cubic feet (Mcf) of compressed natural gas (CNG) were exported to Canada. ** In 2014, 217 Mcf of CNG were exported to Canada. Source: Office of Fossil Energy, U.S. Department of Energy, "Natural Gas Imports and Exports." trillion cubic feet Figure 12. U.S. natural gas exports by type, 2010-2014 * **

  12. Sandia National Laboratories: Facts & Figures

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

    Facts & Figures Sandia's multimission work is represented in a diverse funding portfolio. Budget FY15 Operating $ 2,809.7 million Capital equipment $ 41.0 million Construction $ 29.9 million TOTAL LAB FUNDING $ 2,880.6 million Note: Sandia's fiscal year (FY) runs from October 1 through September 30. Funding by source FY15 NNSA Weapons activities $ 1,576.6 million Defense nuclear nonproliferation $ 143.9 million Other NNSA $ 1.0 million Total NNSA $ 1,721.0 million Non-NNSA DOE Electricity

  13. Surface figure control for coated optics

    DOE Patents [OSTI]

    Ray-Chaudhuri, Avijit K.; Spence, Paul A.; Kanouff, Michael P.

    2001-01-01

    A pedestal optical substrate that simultaneously provides high substrate dynamic stiffness, provides low surface figure sensitivity to mechanical mounting hardware inputs, and constrains surface figure changes caused by optical coatings to be primarily spherical in nature. The pedestal optical substrate includes a disk-like optic or substrate section having a top surface that is coated, a disk-like base section that provides location at which the substrate can be mounted, and a connecting cylindrical section between the base and optics or substrate sections. The optic section has an optical section thickness.sup.2 /optical section diameter ratio of between about 5 to 10 mm, and a thickness variation between front and back surfaces of less than about 10%. The connecting cylindrical section may be attached via three spaced legs or members. However, the pedestal optical substrate can be manufactured from a solid piece of material to form a monolith, thus avoiding joints between the sections, or the disk-like base can be formed separately and connected to the connecting section. By way of example, the pedestal optical substrate may be utilized in the fabrication of optics for an extreme ultraviolet (EUV) lithography imaging system, or in any optical system requiring coated optics and substrates with reduced sensitivity to mechanical mounts.

  14. 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...

  15. Microsoft Word - Figure_05-2015new.doc

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

    14 Figure 5. Gross withdrawals of natural gas in the United States, by type of well, 2010-2014 0 2000 4000 6000 8000 10000 12000 14000 16000 2010 2011 2012 2013 2014 From Gas Wells ...

  16. Canada Mexico Figure 11. Flow of natural gas exports, 2014

    Gasoline and Diesel Fuel Update (EIA)

    8 Canada Mexico Figure 11. Flow of natural gas exports, 2014 (billion cubic feet) Source: Energy Information Administration, based on data from the Office of Fossil Energy, U.S. Department of Energy, Natural Gas Imports and Exports. United States 205 555 5 54 65 120 4 13 Japan Brazil

  17. Polarized Ion Beams in Figure-8 Rings of JLab's MEIC

    SciTech Connect (OSTI)

    Derbenev, Yaroslav; Lin, Fanglei; Morozov, Vasiliy; Zhang, Yuhong; Kondratenko, Anatoliy; Kondratenko, M.A.; Filatov, Yury

    2014-07-01

    The Medium-energy Electron-Ion Collider (MEIC) proposed by Jefferson Lab is designed to provide high polarization of both colliding beams. One of the unique features of JLab's MEIC is figure-8 shape of its rings. It allows preservation and control of polarization of all ion species including small-anomalous-magnetic-moment deuterons during their acceleration and storage. The figure-8 design conceptually expands the capability of obtaining polarized high-energy beams in comparison to conventional designs because of its property of having no preferred periodic spin direction. This allows one to control effectively the beam polarization by means of magnetic insertions with small field integrals. We present a complete scheme for preserving the ion polarization during all stages of acceleration and its control in the collider's experimental straights.

  18. NOvA (Fermilab E929) Official Plots and Figures

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

    The NOvA collaboration, consisting of 180 researchers across 28 institutions and managed by the Fermi National Accelerator Laboratory (FNAL), is developing instruments for a neutrino-focused experiment that will attempt to answer three fundamental questions in neutrino physics: 1) Can we observe the oscillation of muon neutrinos to electron neutrinos; 2) What is the ordering of the neutrino masses; and 3) What is the symmetry between matter and antimatter? The collaboration makes various data plots and figures available. These are grouped under five headings, with brief descriptions included for each individual figure: Neutrino Spectra, Detector Overview, Theta12 Mass Hierarchy CP phase, Theta 23 Delta Msqr23, and NuSterile.

  19. Volume_III_App_A_Figures_Chapter2

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

    Plains & Eastern EIS Figure 2.1-1: Converter Station General Layout 0 50 100 Miles OKLAHOMA ARKANSAS NE W M EX IC O T N COLORADO MISSOURI KANSAS MISSISSIPPI LOUISIANA TEXAS A R Arkansas AC Interconnection Siting Area Oklahoma AC Interconnection Siting Area Future Optima Substation Region 4 Link 3 Variation 2 Lee Creek Variation Oklahoma Converter Station Siting Area Arkansas Converter Station Siting Area Tennessee Converter Station Siting Area Region 1 Region 2 Region 3 Region 4 Region 5

  20. Estimating Methods

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

    1997-03-28

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

  1. Fermilab E866 (NuSea) Figures and Data Plots

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

    None

    The NuSea Experiment at Fermilab studied the internal structure of protons, in particular the difference between up quarks and down quarks. This experiment also addressed at least two other physics questions: nuclear effects on the production of charmonia states (bound states of charm and anti-charm quarks) and energy loss of quarks in nuclei from Drell-Yan measurements on nuclei. While much of the NuSea data are available only to the collaboration, figures, data plots, and tables are presented as stand-alone items for viewing or download. They are listed in conjunction with the published papers, theses, or presentations in which they first appeared. The date range is 1998 to 2008. To see these figures and plots, click on E866 publications or go directly to http://p25ext.lanl.gov/e866/papers/papers.html. Theses are at http://p25ext.lanl.gov/e866/papers/e866theses/e866theses.html and the presentations are found at http://p25ext.lanl.gov/e866/papers/e866talks/e866talks.html. Many of the items are postscript files.

  2. Enhancing the Figure-of-Merit in Half-Heuslers for Vehicle Waste...

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

    the Figure-of-Merit in Half-Heuslers for Vehicle Waste Heat Recovery Enhancing the Figure-of-Merit in Half-Heuslers for Vehicle Waste Heat Recovery Good ZT can occur in...

  3. In the OSTI Collections: Carbon Sequestration, Figure 1 | OSTI, US Dept of

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

    Energy, Office of Scientific and Technical Information In the OSTI Collections: Carbon Sequestration, Figure 1

  4. 9-D polarized proton transport in the MEIC figure 8 collider ring - first steps

    SciTech Connect (OSTI)

    Meot, F.; Morozov, V. S.

    2015-05-03

    Spin tracking studies in the MEIC figure-8 collider ion ring are presented, based on a very preliminary design of the lattice. They provide numerical illustrations of some of the aspects of the figure-8 concept, including spin-rotator based spin control, and lay out the path towards a complete spin tracking simulation of a figure-8 ring.

  5. 9-D polarized proton transport in the MEIC figure-8 collider ring: first steps

    SciTech Connect (OSTI)

    Meot, F.; Morozov, V. S.

    2014-10-24

    Spin tracking studies in the MEIC figure-8 collider ion ring are presented, based on a very preliminary design of the lattice. They provide numerical illustrations of some of the aspects of the figure-8 concept, including spin-rotator based spin control, and lay out the path towards a complete spin tracking simulation of a figure-8 ring.

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

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

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

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

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

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

  8. STAR (Solenoidal Tracker at RHIC) Figures and Data

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

    The STAR Collaboration

    The primary physics task of STAR is to study the formation and characteristics of the quark-gluon plasma (QGP), a state of matter believed to exist at sufficiently high energy densities. STAR consists of several types of detectors, each specializing in detecting certain types of particles or characterizing their motion. These detectors work together in an advanced data acquisition and subsequent physics analysis that allows final statements to be made about the collision. The STAR Publications page provides access to all published papers by the STAR Collaboration, and many of them have separate links to the figures and data found in or supporting the paper. See also the data-rich summaries of the research at http://www.star.bnl.gov/central/physics/results/. [See also DDE00230

  9. BRAHMS (Broad Range Hadron Magnetic Spectrometer) Figures and Data Archive

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

    The BRAHMS experiment was designed to measure charged hadrons over a wide range of rapidity and transverse momentum to study the reaction mechanisms of the relativistic heavy ion reactions at the Relativistic Heavy Ion Collider at Brookhaven National Laboratory and the properties of the highly excited nuclear matter formed in these reactions. The experiment took its first data during the RHIC 2000 year run and completed data taking in June 2006. The BRAHMS archive makes publications available and also makes data and figures from those publications available as separate items. See also the complete list of publications, multimedia presentations, and related papers at http://www4.rcf.bnl.gov/brahms/WWW/publications.html

  10. BILIWG: Consistent "Figures of Merit" (Presentation) | Department of Energy

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

    BILIWG: Consistent "Figures of Merit" (Presentation) BILIWG: Consistent "Figures of Merit" (Presentation) Presented at the 2007 Bio-Derived Liquids to Hydrogen Distributed Reforming Working Group held November 6, 2007 in Laurel, Maryland. PDF icon 14_doe_biliwg_figures_of_merit.pdf More Documents & Publications Idaho Operations AMWTP Fact Sheet Greenpower Trap Mufflerl System CERTIFIED REALTY SPECIALIST

  11. Figure 1. Project Area, Focused Study Area, Potential Access Agreement Land, and Land Not

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

    Page 4 of 8 Figure 1. Project Area, Focused Study Area, Potential Access Agreement Land, and Land Not Suitable for Conveyance

  12. Figure 1. Project Area, Focused Study Area, Potential Access Agreement Land, and Land Not

    Office of Environmental Management (EM)

    Page 4 of 8 Figure 1. Project Area, Focused Study Area, Potential Access Agreement Land, and Land Not Suitable for Conveyance

  13. EIA - Greenhouse Gas Emissions - Table-Figure Notes and Sources

    Gasoline and Diesel Fuel Update (EIA)

    A1. Notes and Sources Tables Chapter 1: Greenhouse gas emissions overview Table 1. U.S. emissions of greenhouse gases, based on global warming potential, 1990-2009: Sources: Emissions: EIA estimates. Data in this table are revised from the data contained in the previous EIA report, Emissions of Greenhouse Gases in the United States 2008, DOE/EIA-0573(2008) (Washington, DC, December 2009). Global warming potentials: Intergovernmental Panel on Climate Change, Climate Change 2007: The Physical

  14. Facts, Figures

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

    how a tree's size impacts its response to drought. October 11, 2015 New insights into HIV-1 vaccine design Scientists have created a computational model that could change the...

  15. Enhancing the Figure-of-Merit in Half-Heuslers for Vehicle Waste Heat

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

    Recovery | Department of Energy the Figure-of-Merit in Half-Heuslers for Vehicle Waste Heat Recovery Enhancing the Figure-of-Merit in Half-Heuslers for Vehicle Waste Heat Recovery Good ZT can occur in non-traditional TE material structure. Ordered layer for charger carrier and disordered layer for phonon scattering is probably a good way to get high ZT. PDF icon ren.pdf More Documents & Publications Innovative Nano-structuring Routes for Novel Thermoelectric Materials;Phonon Blocking

  16. WPN 00-4- Estimated 25% State Cost Share Requirement for the Weatherization Assistance Program for Program Year 2001

    Broader source: Energy.gov [DOE]

    To provide estimated figures for the states to begin their planning for the enacted 25% cost share requirement for funding of the low-income Weatherization Assistance Program beginning with Program Year 2001.

  17. Long range self-assembly of polythiophene breath figures: Optical and morphological characterization

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

    Routh, Prahlad K.; Nykypanchuk, Dmytro; Venkatesh, T. A.; Cotlet, Mircea

    2015-09-01

    Large area, device relevant sized microporous thin films are formed with commercially available polythiophenes by the breath figure technique, a water-assisted micro patterning method, with such semitransparent thin films exhibiting periodicity and uniformity dictated by the length of the polymer side chain. Compared to drop casted thin films, the microporous thin films exhibit increased crystallinity due to stronger packing of the polymer inside the honeycomb frame.

  18. A Framework for Geometric Reasoning About Human Figures and Factors in Assembly Processes

    SciTech Connect (OSTI)

    Calton, Terri L.

    1999-07-20

    Automatic assembly sequencing and visualization tools are valuable in determining the best assembly sequences, but without Human Factors and Figure Models (HFFMs) it is difficult to evaluate or visualize human interaction. In industry, accelerating technological advances and shorter market windows have forced companies to turn to an agile manufacturing paradigm. This trend has promoted computerized automation of product design and manufacturing processes, such as automated assembly planning. However, all automated assembly planning software tools assume that the individual components fly into their assembled configuration and generate what appear to be perfectly valid operations, but in reality some operations cannot physically be carried out by a human. For example, the use of a ratchet may be reasoned feasible for an assembly operation; however, when a hand is placed on the tool the operation is no longer feasible, perhaps because of inaccessibility, insufficient strength or human interference with assembly components. Similarly, human figure modeling algorithms may indicate that assembly operations are not feasible and consequently force design modifications, however, if they had the capability to quickly generate alternative assembly sequences, they might have identified a feasible solution. To solve this problem, HFFMs must be integrated with automated assembly planning which allows engineers to quickly verify that assembly operations are possible and to see ways to make the designs even better. This paper presents a framework for integrating geometry-based assembly planning algorithms with commercially available human figure modeling software packages. Experimental results to selected applications along with lessons learned are presented.

  19. Improvement in the Thermoelectric Figure of Merit by La/Ag Cosubstitution

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

    in PbTe | Energy Frontier Research Centers Improvement in the Thermoelectric Figure of Merit by La/Ag Cosubstitution in PbTe Home Author: K. Ahn, C.P. Li, C. Uher, M.G. Kanatzidis Year: 2009 Abstract: The strongly anisotropic thioarsenates A(3)Ta(2)AsS(11) are stabilized in a polysulfide flux. All compounds contain the same parallel (1)/(infinity)[Ta(2)AsS(11)(3-)] polymeric anionic chains, but the size of the alkali-metals has a profound effect on the packing of the chains. The K(+) or

  20. Gamma and neutron detection modeling in the nuclear detection figure of merit (NDFOM) portal

    SciTech Connect (OSTI)

    Stroud, Phillip D [Los Alamos National Laboratory; Saeger, Kevin J [Los Alamos National Laboratory

    2009-01-01

    The Nuclear Detection Figure Of Merit (NDFOM) portal is a database of objects and algorithms for evaluating the performance of radiation detectors to detect nuclear material. This paper describes the algorithms used to model the physics and mathematics of radiation detection. As a first-principles end-to-end analysis system, it starts with the representation of the gamma and neutron spectral fluxes, which are computed with the particle and radiation transport code MCNPX. The gamma spectra emitted by uranium, plutonium, and several other materials of interest are described. The impact of shielding and other intervening material is computed by the method of build-up factors. The interaction of radiation with the detector material is computed by a detector response function approach. The construction of detector response function matrices based on MCNPX simulation runs is described in detail. Neutron fluxes are represented in a three group formulation to treat differences in detector sensitivities to thermal, epithermal, and fast neutrons.

  1. PHENIX (Pioneering High Energy Nuclear Interaction eXperiment): Data Tables and Figures from Published Papers

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

    The PHENIX Experiment is the largest of the four experiments currently taking data at the Relativistic Heavy Ion Collider. PHENIX, the Pioneering High Energy Nuclear Interaction eXperiment, is an exploratory experiment for the investigation of high energy collisions of heavy ions and protons. PHENIX is designed specifically to measure direct probes of the collisions such as electrons, muons, and photons. The primary goal of PHENIX is to discover and study a new state of matter called the Quark-Gluon Plasma. More than 60 published papers and preprints are listed here with links to the full text and separate links to the supporting PHENIX data in plain text tables and to EPS and GIF figures from the papers.

  2. Figure 1. Annual and Cumulative Growth in U.S. Wind Power Capacity

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

    Figure 1. Annual and Cumulative Growth in U.S. Wind Power Capacity" ,"Annual","Cumulative" ,"US","US" ,"Wind","Wind" ,"Capacity","Capacity" ,"(GW)","(GW)" 1998,0.14232,1.512 1999,0.844,2.385 2000,0.071,2.456 2001,1.69,4.147 2002,0.411,4.557 2003,1.665,6.222 2004,0.396,6.619 2005,2.374,8.993 2006,2.457,11.45 2007,5.253,16.702 2008,8.362,25.065 2009,10.005,35.068 2010,5.216,40.283

  3. Method and system for optical figuring by imagewise heating of a solvent

    DOE Patents [OSTI]

    Rushford, Michael C.

    2005-08-30

    A method and system of imagewise etching the surface of a substrate, such as thin glass, in a parallel process. The substrate surface is placed in contact with an etchant solution which increases in etch rate with temperature. A local thermal gradient is then generated in each of a plurality of selected local regions of a boundary layer of the etchant solution to imagewise etch the substrate surface in a parallel process. In one embodiment, the local thermal gradient is a local heating gradient produced at selected addresses chosen from an indexed array of addresses. The activation of each of the selected addresses is independently controlled by a computer processor so as to imagewise etch the substrate surface at region-specific etch rates. Moreover, etching progress is preferably concurrently monitored in real time over the entire surface area by an interferometer so as to deterministically control the computer processor to image-wise figure the substrate surface where needed.

  4. Cost Estimation Package

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

    1997-03-28

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

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

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

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

  6. Multiple-Filled Skutterudites: High Thermoelectric Figure of Merit through Separately Optimizing Electrical and Thermal Transports

    SciTech Connect (OSTI)

    Zhang, Weiqing; Yang, Jiong; Yang, Jihui; Wang, Hsin; Salvador, James R.; Shi, Xun; Chi, Miaofang; Cho, Jung Y; Bai, Shengqiang; Chen, Lidong

    2011-01-01

    Skutterudites CoSb{sub 3} with multiple cofillers Ba, La, and Yb were synthesized and very high thermoelectric figure of merit ZT = 1.7 at 850 K was realized. X-ray diffraction of the densified multiple-filled bulk samples reveals all samples are phase pure. High-resolution scanning transmission electron microscopy (STEM) and energy dispersive X-ray spectroscopy (EDS) analysis confirm that multiple guest fillers occupy the nanoscale-cages in the skutterudites. The fillers are further shown to be uniformly distributed and the Co-Sb skutterudite framework is virtually unperturbed from atomic scale to a few micrometers. Our results firmly show that high power factors can be realized by adjusting the total filling fraction of fillers with different charge states to reach the optimum carrier density, at the same time, lattice thermal conductivity can also be significantly reduced, to values near the glass limit of these materials, through combining filler species of different rattling frequencies to achieve broad-frequency phonon scattering. Therefore, partially filled skutterudites with multiple fillers of different chemical nature render unique structural characteristics for optimizing electrical and thermal transports in a relatively independent way, leading to continually enhanced ZT values from single- to double-, and finally to multiple-filled skutterudites. The idea of combining multiple fillers with different charge states and rattling frequencies for performance optimization is also expected to be valid for other caged TE compounds.

  7. Check Estimates and Independent Costs

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

    1997-03-28

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

  8. State Energy Production Estimates

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

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

  9. Types of Cost Estimates

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

    1997-03-28

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

  10. Figure 7. Projected Production for the High Development Rate of Technically

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

    Recoverable Oil 7. Projected Production for the High Development Rate of Technically Recoverable Oil Estimated at 5 Percent, Mean, and 95 Percent Probabilities for the ANWR Coastal Plain of the Alaska North Slope fig7.jpg (43335 bytes) Source

  11. Reservoir Temperature Estimator

    Energy Science and Technology Software Center (OSTI)

    2014-12-08

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

  12. Estimating Specialty Costs

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

    1997-03-28

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

  13. Derived Annual Estimates

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

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

  14. Cost Estimating Guide

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

    2011-05-09

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

  15. Cost Estimating Guide

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

    2011-05-09

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

  16. Test procedures and protocols: Their relevance to the figure of merit for thermal distribution systems. Volume 1: Informal report

    SciTech Connect (OSTI)

    Andrews, J.W.

    1993-09-01

    A conceptual framework is developed that categorizes measurement protocols for forced-air thermal distribution systems in small buildings. This framework is based on the distinction between two generic approaches. The {open_quote}system-comparison{close_quote} approach seeks to determine, via a pair of whole-house energy-use measurements, the difference in energy use between the house with the as-found duct system and the same house with no energy losses attributable to the thermal distribution system. The {open_quote}component loss-factor{close_quote} approach identifies and measures the individual causes of duct losses, and then builds up a value for the net overall duct efficiency, usually with the help of computer simulation. Examples of each approach are analyzed and related to a proposed Figure of Merit for thermal distribution systems. This Figure of Merit would serve as the basis for a Standard Method of Test analogous to those already in place for furnaces, boilers, air conditioners, and heat pumps.

  17. Surfactant-Free Synthesis of Bi?Te?-Te Micro-Nano Heterostructure with Enhanced Thermoelectric Figure of Merit

    SciTech Connect (OSTI)

    Zhang, Yichi; Wang, Heng; Kraemer, Stephan; Shi, Yifeng; Zhang, Fan; Snedaker, Matt; Ding, Kunlun; Moskovits, Martin; Snyder, G. Jeffrey; Stucky, Galen D.

    2011-01-01

    An ideal thermoelectric material would be a semiconductor with high electrical conductivity and relatively low thermal conductivity: an electron crystal, phonon glass. Introducing nanoscale heterostructures into the bulk TE matrix is one way of achieving this intuitively anomalous electron/phonon transport behavior. The heterostructured interfaces are expected to play a significant role in phonon scattering to reduce thermal conductivity and in the energy-dependent scattering of electrical carriers to improve the Seebeck coefficient. A nanoparticle building block assembly approach is plausible to fabricate three-dimensional heterostructured materials on a bulk commercial scale. However, a key problem in applying this strategy is the possible negative impact on TE performance of organic residue from the nanoparticle capping ligands. Herein, we report a wet chemical, surfactant-free, low-temperature, and easily up-scalable strategy for the synthesis of nanoscale heterophase Bi?Te?-Te via a galvanic replacement reaction. The micro-nano heterostructured material is fabricated bottom-up, by mixing the heterophase with commercial Bi?Te?. This unique structure shows an enhanced zT value of ~0.4 at room temperature. This heterostructure has one of the highest figures of merit among bismuth telluride systems yet achieved by a wet chemical bottom-up assembly. In addition, it shows a 40% enhancement of the figure of merit over our lab-made material without nanoscale heterostructures. This enhancement is mainly due to the decrease in the thermal conductivity while maintaining the power factor. Overall, this cost-efficient and room-temperature synthesis methodology provides the potential for further improvement and large-scale thermoelectric applications.

  18. Magnetic nanoparticle temperature estimation

    SciTech Connect (OSTI)

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

    2009-05-15

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

  19. Use of Cost Estimating Relationships

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

    1997-03-28

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

  20. Automated Estimating System

    Energy Science and Technology Software Center (OSTI)

    1996-04-15

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

  1. MECS Fuel Oil Figures

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

    Energy Consumption Survey (MECS): Consumption of Energy; U.S. Department of Commerce, Bureau of the Census, Annual Survey of Manufactures (ASM): Statistics for Industry...

  2. Cost Estimating, Analysis, and Standardization

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

    1984-11-02

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

  3. Robust and intelligent bearing estimation

    DOE Patents [OSTI]

    Claassen, John P. (Albuquerque, NM)

    2000-01-01

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

  4. Supercooled liquid water Estimation Tool

    Energy Science and Technology Software Center (OSTI)

    2012-05-04

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

  5. Figures and Data Plots from the Published Papers of the BELLE Experiment at the KEK - B Factory

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

    This resource provides more than 300 citations to preprints and papers with the figures from each one pulled out separately for easy access and downloading. These are physics publications. Be sure to also see the page of Technical Journal publications at http://belle.kek.jp/belle/bellenim/index.htm and the lists of conference presentations from 2000 through 2009. Belle is a high-energy physics (HEP) experiment that began in 1999 at the KEK B-factory in Japan under the direction of the international Belle Collaboration. The original Letter of Intent from the Collaboration stated their scientific goal as follows:

    The laws of nature have a high degree of symmetry between matter and antimatter; violations of this symmetry, the so-called CP violations, are only seen as a small effect in the decays of neutral K mesons. Although experimental evidence for CP violation was first observed 30 years ago, we still do not understand how they occur. In 1973, Kobayashi and Maskawa (KM) noted that CP violation could be accommodated in the Standard Model only if there were at least six quark flavors, twice the number of quark flavors known at that time. The KM model for CP violation is now considered to be an essential part of the Standard Model. In 1980, Sanda and Carter pointed out that the KM model contained the possibility of rather sizable CP violating asymmetries in certain decay modes of the B meson. The subsequent observation of a long b quark lifetime and a large amount of mixing in the neutral B meson system indicated that it would be feasible to carry out decisive tests of the KM model by studying B meson decays. Our collaboration has been formed around the common interest of clarifying the long standing physics puzzle of CP violation. Our goal is to make a definitive test of the Standard ModelÆs predictions for CP violations in the decays of B mesons. [Copied, with editing, from Letter of Intent (KEK-Report94-2, April 1994); see http://belle.kek.jp/bdocs/old_publication.html and open the Letter of Intent file]

    That original Belle experiment verified the KM theory, leading to a Nobel prize in 2008 for Kobayashi and Maskawa. Belle II Collaboration is now working on additional discoveries.

  6. Figures and Data Plots from the Published Papers of the BELLE Experiment at the KEK - B Factory

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

    This resource provides more than 300 citations to preprints and papers with the figures from each one pulled out separately for easy access and downloading. These are physics publications. Be sure to also see the page of Technical Journal publications at http://belle.kek.jp/belle/bellenim/index.htm and the lists of conference presentations from 2000 through 2009. Belle is a high-energy physics (HEP) experiment that began in 1999 at the KEK B-factory in Japan under the direction of the international Belle Collaboration. The original Letter of Intent from the Collaboration stated their scientific goal as follows:

    The laws of nature have a high degree of symmetry between matter and antimatter; violations of this symmetry, the so-called CP violations, are only seen as a small effect in the decays of neutral K mesons. Although experimental evidence for CP violation was first observed 30 years ago, we still do not understand how they occur. In 1973, Kobayashi and Maskawa (KM) noted that CP violation could be accommodated in the Standard Model only if there were at least six quark flavors, twice the number of quark flavors known at that time. The KM model for CP violation is now considered to be an essential part of the Standard Model. In 1980, Sanda and Carter pointed out that the KM model contained the possibility of rather sizable CP violating asymmetries in certain decay modes of the B meson. The subsequent observation of a long b quark lifetime and a large amount of mixing in the neutral B meson system indicated that it would be feasible to carry out decisive tests of the KM model by studying B meson decays. Our collaboration has been formed around the common interest of clarifying the long standing physics puzzle of CP violation. Our goal is to make a definitive test of the Standard Models predictions for CP violations in the decays of B mesons. [Copied, with editing, from Letter of Intent (KEK-Report94-2, April 1994); see http://belle.kek.jp/bdocs/old_publication.html and open the Letter of Intent file]

    That original Belle experiment verified the KM theory, leading to a Nobel prize in 2008 for Kobayashi and Maskawa. Belle II Collaboration is now working on additional discoveries.

  7. Examples of Cost Estimation Packages

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

    1997-03-28

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

  8. A Critical Examination of Figure of Merit (FOM). Assessing the Goodness-of-Fit in Gamma/X-ray Peak Analysis

    SciTech Connect (OSTI)

    Croft, S.; Favalli, Andrea; Weaver, Brian Phillip; Williams, Brian J.; Burr, Thomas Lee; Henzlova, Daniela; McElroy, R. D.

    2015-10-06

    In this paper we develop and investigate several criteria for assessing how well a proposed spectral form fits observed spectra. We consider the classical improved figure of merit (FOM) along with several modifications, as well as criteria motivated by Poisson regression from the statistical literature. We also develop a new FOM that is based on the statistical idea of the bootstrap. A spectral simulator has been developed to assess the performance of these different criteria under multiple data configurations.

  9. Record figure of merit values of highly stoichiometric Sb2Te3 porous bulk synthesized from tailor-made molecular precursors in ionic liquids

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

    Heimann, Stefan; Schulz, Stephan; Schaumann, Julian; Mudring, Anja; Stötzel, Julia; Maculewicz, Franziska; Schierning, Gabi

    2015-08-06

    We report on the synthesis of Sb2Te3 nanoparticles with record-high figure of merit values of up to 1.5. The central thermoelectric parameters, electrical conductivity, thermal conductivity and Seebeck coefficient, were independently optimized. Critical influence of porosity for the fabrication of highly efficient thermoelectric materials is firstly demonstrated, giving a strong guidance for the optimization of other thermoelectric materials.

  10. GAO Cost Estimating and Assessment Guide

    Broader source: Energy.gov [DOE]

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

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

    Open Energy Info (EERE)

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

  12. Estimate Radiological Dose for Animals

    Energy Science and Technology Software Center (OSTI)

    1997-12-18

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

  13. Weekly Coal Production Estimation Methodology

    Gasoline and Diesel Fuel Update (EIA)

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

  14. Estimates of Green potentials. Applications

    SciTech Connect (OSTI)

    Danchenko, V I

    2003-02-28

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

  15. Estimated Cost Description Determination Date:

    Office of Environmental Management (EM)

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

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

    Office of Environmental Management (EM)

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

  17. Capturing Dynamics in the Power Grid: Formulation of Dynamic State Estimation through Data Assimilation

    SciTech Connect (OSTI)

    Zhou, Ning; Huang, Zhenyu; Meng, Da; Elbert, Stephen T.; Wang, Shaobu; Diao, Ruisheng

    2014-03-31

    With the increasing complexity resulting from uncertainties and stochastic variations introduced by intermittent renewable energy sources, responsive loads, mobile consumption of plug-in vehicles, and new market designs, more and more dynamic behaviors are observed in everyday power system operation. To operate a power system efficiently and reliably, it is critical to adopt a dynamic paradigm so that effective control actions can be taken in time. The dynamic paradigm needs to include three fundamental components: dynamic state estimation; look-ahead dynamic simulation; and dynamic contingency analysis (Figure 1). These three components answer three basic questions: where the system is; where the system is going; and how secure the system is against accidents. The dynamic state estimation provides a solid cornerstone to support the other 2 components and is the focus of this study.

  18. Weldon Spring historical dose estimate

    SciTech Connect (OSTI)

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

    1986-07-01

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

  19. PROJECT NAME/ID",,,"Jobs figures to report",,"October 2010 Report",,"January 201

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

    PROJECT NAME/ID",,,"Jobs figures to report",,"October 2010 Report",,"January 2011 Report",,"April 2011 Report",,"July 2011 Report",,"October 2011 Report",,"January 2012 Report",,"April 2012 Report" ,,,,"Recovery Act FTEs are reported to OMB quarterly via FederalReporting.gov. Recovery Act hours worked are reported quarterly to DOE via PAGE.",,"To OMB (FTEs)",,"To OMB

  20. Mandatory Photovoltaic System Cost Estimate

    Broader source: Energy.gov [DOE]

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

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

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

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

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

    Office of Scientific and Technical Information (OSTI)

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

  3. Guidelines for Estimating Unmetered Landscapting Water Use

    SciTech Connect (OSTI)

    None

    2010-07-30

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

  4. Estimated Cost Description Determination Date:

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

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

  5. 2007 Estimated International Energy Flows

    SciTech Connect (OSTI)

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

    2011-03-10

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

  6. Microsoft Word - figure_03.doc

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

    Oil and Gas Reserves"; PointLogic Energy; Ventyx; and the Bureau of Safety and Environmental Enforcement, and predecessor agencies. IN OH TN WV VA KY MD PA NY VT NH MA CT ME...

  7. Microsoft Word - figure_19.doc

    Gasoline and Diesel Fuel Update (EIA)

    63 dollars per thousand cubic feet 0 2 4 6 8 10 12 2010 2011 2012 2013 2014 Residential Commercial Industrial Electric Power Notes: Coverage for prices varies by consumer sector. Prices are in nominal dollars. See Appendix A for further discussion on consumer prices. Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-857, "Monthly Report of Natural Gas Purchases and Deliveries to

  8. Microsoft Word - figure_20.doc

    Gasoline and Diesel Fuel Update (EIA)

    4 0 2 4 6 8 10 12 14 16 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 Sources: Nominal dollars: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," and Form EIA-910, "Monthly Natural Gas Marketer Survey." Constant dollars: Prices were converted to 2009 dollars using the chain-type price indexes for Gross Domestic Product (2009 = 1.0) as published by the U.S.

  9. Figure2b.eps

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

    ... except the bare Coulomb interaction is replaced by the screened Coulomb interac- tion: W GG ' (q ; ) -1 GG ' (q ; )v(q + G ' ) where v is the bare Coulomb interaction. ...

  10. Microsoft Word - Figure_05.doc

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

    Alaska was added to U.S. total as of January 2013. Source: Energy Information Administration (EIA): Form EIA-191, "Monthly Underground Gas Storage Report." Billion Cubic Meters ...

  11. EIS_Summary_TextandFigures

    Office of Environmental Management (EM)

    N V I R O N M E N T A L I M P A C T S T A T E M E N T S U M M A R Y PLAINS & EASTERN CLEAN LINE TRANSMISSION PROJECT DOE/EIS-0486 Final U.S. DEPARTMENT OF ENERGY Office of Electricity Delivery and Energy Reliability Washington, DC October 2015 This page intentionally left blank. SUMMARY PLAINS & EASTERN FINAL ENVIRONMENTAL IMPACT STATEMENT S-i COVER SHEET RESPONSIBLE FEDERAL AGENCY: U.S. Department of Energy (DOE), Office of Electricity Delivery and Energy Reliability COOPERATING

  12. Cancer Facts & Figures - 2010

    National Nuclear Security Administration (NNSA)

    AL 23,640 AZ 29,780 AR 15,320 CA 157,320 CO 21,340 CT 20,750 DE 4,890 FL 107,000 GA 40,480 ID 7,220 IL 63,890 IN 33,020 IA 17,260 KS 13,550 KY 24,240 LA 20,950 ME 8,650 MD 27,700 MA 36,040 MN 25,080 MS 14,330 MO 31,160 MT 5,570 NE 9,230 NV 12,230 NH 7,810 NJ 48,100 NM 9,210 NY 103,340 NC 45,120 ND 3,300 OH 64,450 OK 18,670 OR 20,750 PA 75,260 RI 5,970 SC 23,240 SD 4,220 TN 33,070 TX 101,120 UT 9,970 VT 3,720 VA 36,410 WA 34,500 WV 10,610 WI 29,610 WY 2,540 DC 2,760 HI 6,670 AK 2,860 MI 55,660 PR

  13. Techniques and Methods Used to Determine the Best Estimate of...

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

    Surface Albedo UpwellingDownwelling SW LW longwave SW shortwave 1 2 Twelfth ARM Science Team Meeting Proceedings, St. Petersburg, Florida, April 8-12, 2002 Figure 1. Best...

  14. Estimating Waste Inventory and Waste Tank Characterization

    Broader source: Energy.gov [DOE]

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

  15. Cost Model and Cost Estimating Software

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

    1997-03-28

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

  16. New Methodology for Natural Gas Production Estimates

    Reports and Publications (EIA)

    2010-01-01

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

  17. Reasons for changes in MPG estimates, model year 1978 to the present

    SciTech Connect (OSTI)

    Patterson, P.D.; Westbrook, F.W.; Greene, D.L.; Roberts, G.F.

    1984-01-01

    In model year 1983, new car MPG declined for the first time in ten years. Accompanying this decline in MPG, the size of the average car increased, car weights and engine sized increased and diesel sales declined - all reversing their movements over the previous ten years. Using carline MPG estimates and sales figures, it is estimated that new car MPG declined 0.29 in 1983 after rising 6.70 MPG over the previous four years. Furthermore,it is estimated that actions by new car buyers would have lowered the 1983 MPG 0.40 MPG through the purchase of larger cars, cars with larger engines and fewer diesel engines if the manufacturers had not some fuel economy improvements and introduced some new high-MPG cars. A simple model of future fuel use increases as a friction of MPG levels below a specified level consistent with the CAFE standards shows that the costs of lower fuel economy will only gradually be felt, but that these costs will increase over time and persist for over a decade.

  18. Robust bearing estimation for 3-component stations

    SciTech Connect (OSTI)

    CLAASSEN,JOHN P.

    2000-02-01

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

  19. Time and Resource Estimation Tool

    Energy Science and Technology Software Center (OSTI)

    2004-06-08

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

  20. Reliability Estimates for Power Supplies

    SciTech Connect (OSTI)

    Lee C. Cadwallader; Peter I. Petersen

    2005-09-01

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

  1. Early Internal and External Dose Magnitude Estimation

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

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

  2. State energy data report 1994: Consumption estimates

    SciTech Connect (OSTI)

    1996-10-01

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

  3. Methodology for Monthly Crude Oil Production Estimates

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

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

  4. An Estimator of Propagation of Cascading Failure

    SciTech Connect (OSTI)

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

    2006-01-01

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

  5. Adjusted Estimates of Texas Natural Gas Production

    Reports and Publications (EIA)

    2005-01-01

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

  6. How EIA Estimates Natural Gas Production

    Reports and Publications (EIA)

    2004-01-01

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

  7. Interruption Cost Estimate Calculator | Open Energy Information

    Open Energy Info (EERE)

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

  8. ORISE: Radiation Dose Estimates and Other Compendia

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

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

  9. Guidelines for Estimating Unmetered Industrial Water Use

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

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

  10. Community structure and estimated contribution of primary consumers (Nematodes and Copepods) of decomposing plant litter (Juncus roemerianus and Rhizophora mangle) in South Florida

    SciTech Connect (OSTI)

    Fell, J.W.; Cefalu, R.

    1984-01-01

    The paper discusses the meiofauna associated with decomposing leaf litter from two species of coastal marshland plants: the black needle rush, Juncus roemerianus and the red mangrove, Rhizophora mangle. The following aspects were investigated: (1) types of meiofauna present, especially nematodes; (2) changes in meiofaunal community structures with regard to season, station location, and type of plant litter; (3) amount of nematode and copepod biomass present on the decomposing plant litter; and (4) an estimation of the possible role of the nematodes in the decomposition process. 28 references, 5 figures, 9 tables. (ACR)

  11. Cost Estimating Handbook for Environmental Restoration

    SciTech Connect (OSTI)

    1990-09-01

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

  12. Power, Optimization, Waste Estimating, Resourcing Tool

    Energy Science and Technology Software Center (OSTI)

    2009-08-13

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

  13. Systematic Approach for Decommissioning Planning and Estimating

    SciTech Connect (OSTI)

    Dam, A. S.

    2002-02-26

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

  14. Property:Estimated End Date | Open Energy Information

    Open Energy Info (EERE)

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

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

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

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

  16. Record figure of merit values of highly stoichiometric Sb2Te3 porous bulk synthesized from tailor-made molecular precursors in ionic liquids

    SciTech Connect (OSTI)

    Heimann, Stefan; Schulz, Stephan; Schaumann, Julian; Mudring, Anja; Sttzel, Julia; Maculewicz, Franziska; Schierning, Gabi

    2015-08-06

    We report on the synthesis of Sb2Te3 nanoparticles with record-high figure of merit values of up to 1.5. The central thermoelectric parameters, electrical conductivity, thermal conductivity and Seebeck coefficient, were independently optimized. Critical influence of porosity for the fabrication of highly efficient thermoelectric materials is firstly demonstrated, giving a strong guidance for the optimization of other thermoelectric materials.

  17. State Energy Data Report, 1991: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1993-05-01

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

  18. Parallel State Estimation Assessment with Practical Data

    SciTech Connect (OSTI)

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

    2014-10-31

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

  19. State energy data report 1995 - consumption estimates

    SciTech Connect (OSTI)

    1997-12-01

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

  20. State energy data report 1993: Consumption estimates

    SciTech Connect (OSTI)

    1995-07-01

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

  1. A simple method to estimate interwell autocorrelation

    SciTech Connect (OSTI)

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

    1997-08-01

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

  2. Preliminary CBECS End-Use Estimates

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

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

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

    Open Energy Info (EERE)

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

  4. gtp_flow_power_estimator.xlsx

    Broader source: Energy.gov [DOE]

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

  5. U.S. Uranium Reserves Estimates

    Gasoline and Diesel Fuel Update (EIA)

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

  6. Buildings GHG Mitigation Estimator Worksheet, Version 1

    Broader source: Energy.gov [DOE]

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

  7. Sub-Second Parallel State Estimation

    SciTech Connect (OSTI)

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

    2014-10-31

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

  8. Chapter 3: FY 2006 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

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

  9. Chapter 3: FY 2005 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

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

  10. ARM - Lesson Plans: Estimating Local Sea Level

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

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

  11. Estimates of US biomass energy consumption 1992

    SciTech Connect (OSTI)

    Not Available

    1994-05-06

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

  12. Estimated recharge rates at the Hanford Site

    SciTech Connect (OSTI)

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

    1995-02-01

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

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

    SciTech Connect (OSTI)

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

    2015-01-01

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

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

    SciTech Connect (OSTI)

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

    2015-01-01

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

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

    SciTech Connect (OSTI)

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

    2015-01-15

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

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

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

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

    2015-01-15

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

  17. State energy data report 1996: Consumption estimates

    SciTech Connect (OSTI)

    1999-02-01

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

  18. Estimating exposure of terrestrial wildlife to contaminants

    SciTech Connect (OSTI)

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

    1994-09-01

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

  19. Estimating vehicle height using homographic projections

    DOE Patents [OSTI]

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

    2013-07-16

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

  20. Guidelines for Estimating Unmetered Landscaping Water Use

    SciTech Connect (OSTI)

    McMordie Stoughton, Kate

    2010-07-28

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

  1. Estimating the uncertainty in underresolved nonlinear dynamics

    SciTech Connect (OSTI)

    Chorin, Alelxandre; Hald, Ole

    2013-06-12

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

  2. Mechanism and estimation of fatigue crack initiation in austenitic stainless steels in LWR environments.

    SciTech Connect (OSTI)

    Chopra, O. K.; Energy Technology

    2002-08-01

    The ASME Boiler and Pressure Vessel Code provides rules for the construction of nuclear power plant components. Figures I-9.1 through I-9.6 of Appendix I to Section III of the Code specify fatigue design curves for structural materials. However, the effects of light water reactor (LWR) coolant environments are not explicitly addressed by the Code design curves. Existing fatigue strain-vs.-life ({var_epsilon}-N) data illustrate potentially significant effects of LWR coolant environments on the fatigue resistance of pressure vessel and piping steels. This report provides an overview of fatigue crack initiation in austenitic stainless steels in LWR coolant environments. The existing fatigue {var_epsilon}-N data have been evaluated to establish the effects of key material, loading, and environmental parameters (such as steel type, strain range, strain rate, temperature, dissolved-oxygen level in water, and flow rate) on the fatigue lives of these steels. Statistical models are presented for estimating the fatigue {var_epsilon}-N curves for austenitic stainless steels as a function of the material, loading, and environmental parameters. Two methods for incorporating environmental effects into the ASME Code fatigue evaluations are presented. The influence of reactor environments on the mechanism of fatigue crack initiation in these steels is also discussed.

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

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

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

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

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

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

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

    Open Energy Info (EERE)

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

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

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

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

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

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

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

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

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

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

    Office of Environmental Management (EM)

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

    Office of Environmental Management (EM)

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

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

    Open Energy Info (EERE)

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

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

    Open Energy Info (EERE)

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

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

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

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

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

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

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

    Open Energy Info (EERE)

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

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

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

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

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

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

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

  1. Numerical Estimation of the Spent Fuel Ratio

    SciTech Connect (OSTI)

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

    2016-01-01

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

  2. State energy data report 1992: Consumption estimates

    SciTech Connect (OSTI)

    Not Available

    1994-05-01

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

  3. Generalized REGression Package for Nonlinear Parameter Estimation

    Energy Science and Technology Software Center (OSTI)

    1995-05-15

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

  4. Knowledge Based Estimation of Material Release Transients

    Energy Science and Technology Software Center (OSTI)

    1998-07-29

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

  5. Notices Total Estimated Number of Annual

    Energy Savers [EERE]

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

  6. Communications circuit including a linear quadratic estimator

    DOE Patents [OSTI]

    Ferguson, Dennis D.

    2015-07-07

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

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

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

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

  8. Survival Estimates for the Passage of Juvenile Salmonids through Snake and Columbia River Dams and Reservoirs, 2002-2003 Annual Report.

    SciTech Connect (OSTI)

    Muir, William D.; Smith, Steven G.; Zabel, Richard W.

    2003-07-01

    In 2002, the National Marine Fisheries Service and the University of Washington completed the tenth year of a study to estimate survival and travel time of juvenile salmonids (Oncorhynchus spp.) passing through dams and reservoirs on the Snake and Columbia Rivers. All estimates were derived from detections of fish tagged with passive integrated transponder tags (PIT tags). We PIT tagged and released a total of 19,891 hatchery steelhead at Lower Granite Dam. In addition, we utilized fish PIT tagged by other agencies at traps and hatcheries upstream from the hydropower system and sites within the hydropower system. PIT-tagged smolts were detected at interrogation facilities at Lower Granite, Little Goose, Lower Monumental, McNary, John Day, and Bonneville Dams and in the PIT-tag detector trawl operated in the Columbia River estuary. Survival estimates were calculated using a statistical model for tag-recapture data from single release groups (the ''Single-Release Model''). Primary research objectives in 2002 were to (1) estimate reach and project survival and travel time in the Snake and Columbia Rivers throughout the migration period of yearling chinook salmon O. tshawytscha and steelhead O. mykiss; (2) evaluate relationships between survival estimates and migration conditions; and (3) evaluate the survival-estimation models under prevailing conditions. This report provides reach survival and travel time estimates for 2002 for PIT-tagged yearling chinook salmon (hatchery and wild), hatchery sockeye salmon O. nerka, hatchery coho salmon O. kisutch, and steelhead (hatchery and wild) in the Snake and Columbia Rivers. Results are reported primarily in the form of tables and figures; details on methodology and statistical models used are provided in previous reports cited here. Results for summer-migrating chinook salmon will be reported separately.

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

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

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

  10. Position estimation of transceivers in communication networks

    DOE Patents [OSTI]

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

    2008-06-03

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

  11. Process Equipment Cost Estimation, Final Report

    Office of Scientific and Technical Information (OSTI)

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

  12. Estimated United States Transportation Energy Use 2005

    SciTech Connect (OSTI)

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

    2011-11-09

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

  13. WEATHER PREDICTIONS AND SURFACE RADIATION ESTIMATES

    Office of Legacy Management (LM)

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

  14. Cell Total Activity Final Estimate.xls

    Office of Legacy Management (LM)

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

  15. Development of surface mine cost estimating equations

    SciTech Connect (OSTI)

    Not Available

    1980-09-26

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

  16. Estimates of Savings Achievable from Irrigation Controller

    SciTech Connect (OSTI)

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

    2014-03-28

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

  17. Risk Estimation Methodology for Launch Accidents.

    SciTech Connect (OSTI)

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

    2014-02-01

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

  18. Estimating Terrorist Risk with Possibility Theory

    SciTech Connect (OSTI)

    J.L. Darby

    2004-11-30

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

  19. Estimated Water Flows in 2005: United States

    SciTech Connect (OSTI)

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

    2011-03-16

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

  20. Chapter 17: Estimating Net Savings: Common Practices

    SciTech Connect (OSTI)

    Violette, D. M.; Rathbun, P.

    2014-09-01

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

  1. New developments in capital cost estimating

    SciTech Connect (OSTI)

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

    1988-01-01

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

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

    Office of Environmental Management (EM)

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

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

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

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

  4. Property:EstimatedCostLowUSD | Open Energy Information

    Open Energy Info (EERE)

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

  5. Property:EstimatedCostHighUSD | Open Energy Information

    Open Energy Info (EERE)

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

  6. Property:EstimatedCostMedianUSD | Open Energy Information

    Open Energy Info (EERE)

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

  7. Microsoft PowerPoint - 15.1615_Cost Estimating Panel

    Energy Savers [EERE]

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

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

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

  11. ANUDISflM-37 SMART BRIDGE: A TOOL FOR ESTIMATING THE MILITARY...

    Office of Scientific and Technical Information (OSTI)

    5 Typical Span Data Form 1 7 tringer Support: ldbl I ----? i Lateral Bracing . - - * Hi T Rail . , ' Material: 1 - 4 FIGURE 6 Typical Generic Span Diagram parameter and whether...

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

    Broader source: Energy.gov [DOE]

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

  13. Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive

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

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

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

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

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

  15. Figure 8. Technically Recoverable and Commercially Developable...

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

    the Alaska North Slope fig8.jpg (38547 bytes) Source: United States Geological Survey, "Economics of Undiscovered Oil in the 1002 Area of the Arctic National Wildlife Refuge," 1998...

  16. Microsoft Word - figure_08_2015.doc

    Gasoline and Diesel Fuel Update (EIA)

    2 10.8 8.0 5.9 5.0 4.4 0 2 4 6 8 10 12 2010 2011 2012 2013 2014 Sources: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Form EIA-64A, "Annual Report of the Origin of Natural Gas Liquids Production"; Office of Fossil Energy, U.S. Department of Energy, Natural Gas Imports and Exports; Form EIA-895, "Annual Quantity and Value of Natural Gas Production Report"; Form EIA-914, "Monthly

  17. Figure 1. Census Regions and Divisions

    Gasoline and Diesel Fuel Update (EIA)

    US Federal Region Map US Federal Regions>

  18. Theoretical Estimate of Maximum Possible Nuclear Explosion

    DOE R&D Accomplishments [OSTI]

    Bethe, H. A.

    1950-01-31

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

  19. Residential Lighting End-Use Consumption Study: Estimation Framework and Initial Estimates

    SciTech Connect (OSTI)

    Gifford, Will R.; Goldberg, Miriam L.; Tanimoto, Paulo M.; Celnicker, Dane R.; Poplawski, Michael E.

    2012-12-01

    The U.S. DOE Residential Lighting End-Use Consumption Study is an initiative of the U.S. Department of Energys (DOEs) Solid-State Lighting Program that aims to improve the understanding of lighting energy usage in residential dwellings. The study has developed a regional estimation framework within a national sample design that allows for the estimation of lamp usage and energy consumption 1) nationally and by region of the United States, 2) by certain household characteristics, 3) by location within the home, 4) by certain lamp characteristics, and 5) by certain categorical cross-classifications (e.g., by dwelling type AND lamp type or fixture type AND control type).

  20. IDC RP2 & 3 US Industry Standard Cost Estimate Summary.

    SciTech Connect (OSTI)

    Harris, James M.; Huelskamp, Robert M.

    2015-01-01

    Sandia National Laboratories has prepared a ROM cost estimate for budgetary planning for the IDC Reengineering Phase 2 & 3 effort, using a commercial software cost estimation tool calibrated to US industry performance parameters. This is not a cost estimate for Sandia to perform the project. This report provides the ROM cost estimate and describes the methodology, assumptions, and cost model details used to create the ROM cost estimate. ROM Cost Estimate Disclaimer Contained herein is a Rough Order of Magnitude (ROM) cost estimate that has been provided to enable initial planning for this proposed project. This ROM cost estimate is submitted to facilitate informal discussions in relation to this project and is NOT intended to commit Sandia National Laboratories (Sandia) or its resources. Furthermore, as a Federally Funded Research and Development Center (FFRDC), Sandia must be compliant with the Anti-Deficiency Act and operate on a full-cost recovery basis. Therefore, while Sandia, in conjunction with the Sponsor, will use best judgment to execute work and to address the highest risks and most important issues in order to effectively manage within cost constraints, this ROM estimate and any subsequent approved cost estimates are on a 'full-cost recovery' basis. Thus, work can neither commence nor continue unless adequate funding has been accepted and certified by DOE.

  1. Parameter estimation with Sandage-Loeb test

    SciTech Connect (OSTI)

    Geng, Jia-Jia; Zhang, Jing-Fei; Zhang, Xin E-mail: jfzhang@mail.neu.edu.cn

    2014-12-01

    The Sandage-Loeb (SL) test directly measures the expansion rate of the universe in the redshift range of 2 ∼< z ∼< 5 by detecting redshift drift in the spectra of Lyman-α forest of distant quasars. We discuss the impact of the future SL test data on parameter estimation for the ΛCDM, the wCDM, and the w{sub 0}w{sub a}CDM models. To avoid the potential inconsistency with other observational data, we take the best-fitting dark energy model constrained by the current observations as the fiducial model to produce 30 mock SL test data. The SL test data provide an important supplement to the other dark energy probes, since they are extremely helpful in breaking the existing parameter degeneracies. We show that the strong degeneracy between Ω{sub m} and H{sub 0} in all the three dark energy models is well broken by the SL test. Compared to the current combined data of type Ia supernovae, baryon acoustic oscillation, cosmic microwave background, and Hubble constant, the 30-yr observation of SL test could improve the constraints on Ω{sub m} and H{sub 0} by more than 60% for all the three models. But the SL test can only moderately improve the constraint on the equation of state of dark energy. We show that a 30-yr observation of SL test could help improve the constraint on constant w by about 25%, and improve the constraints on w{sub 0} and w{sub a} by about 20% and 15%, respectively. We also quantify the constraining power of the SL test in the future high-precision joint geometric constraints on dark energy. The mock future supernova and baryon acoustic oscillation data are simulated based on the space-based project JDEM. We find that the 30-yr observation of SL test would help improve the measurement precision of Ω{sub m}, H{sub 0}, and w{sub a} by more than 70%, 20%, and 60%, respectively, for the w{sub 0}w{sub a}CDM model.

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

    SciTech Connect (OSTI)

    FERRIES SR; KLINK KL; OSTAPKOWICZ B

    2012-01-30

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

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

    SciTech Connect (OSTI)

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

    2013-12-31

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

  4. Matrix Methods for Estimating the Coherence Functions from Estimates of the Cross-Spectral Density Matrix

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

    Smallwood, D. O.

    1996-01-01

    It is shown that the usual method for estimating the coherence functions (ordinary, partial, and multiple) for a general multiple-input! multiple-output problem can be expressed as a modified form of Cholesky decomposition of the cross-spectral density matrix of the input and output records. The results can be equivalently obtained using singular value decomposition (SVD) of the cross-spectral density matrix. Using SVD suggests a new form of fractional coherence. The formulation as a SVD problem also suggests a way to order the inputs when a natural physical order of the inputs is absent.

  5. Battery Calendar Life Estimator Manual Modeling and Simulation

    SciTech Connect (OSTI)

    Jon P. Christophersen; Ira Bloom; Ed Thomas; Vince Battaglia

    2012-10-01

    The Battery Life Estimator (BLE) Manual has been prepared to assist developers in their efforts to estimate the calendar life of advanced batteries for automotive applications. Testing requirements and procedures are defined by the various manuals previously published under the United States Advanced Battery Consortium (USABC). The purpose of this manual is to describe and standardize a method for estimating calendar life based on statistical models and degradation data acquired from typical USABC battery testing.

  6. Hydrogen Production Cost Estimate Using Biomass Gasification: Independent

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

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

  7. Estimating emissions of 20 VOCs. 2: Diffused aeration (Journal Article) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Estimating emissions of 20 VOCs. 2: Diffused aeration Citation Details In-Document Search Title: Estimating emissions of 20 VOCs. 2: Diffused aeration A relationship developed in a companion paper to estimate emissions from surface-aerated reactors that accounts for both gas- and liquid-phase mass-transfer resistances is extended to reactors with diffused-aeration systems. The method accurately predicts the observed stripping rate of 20 volatile organic compounds (VOCs) with

  8. The Efficacy of Galaxy Shape Parameters in Photometric Redshift Estimation:

    Office of Scientific and Technical Information (OSTI)

    A Neural Network Approach (Journal Article) | SciTech Connect SciTech Connect Search Results Journal Article: The Efficacy of Galaxy Shape Parameters in Photometric Redshift Estimation: A Neural Network Approach Citation Details In-Document Search Title: The Efficacy of Galaxy Shape Parameters in Photometric Redshift Estimation: A Neural Network Approach We present a determination of the effects of including galaxy morphological parameters in photometric redshift estimation with an

  9. Using Photogrammetry to Estimate Tank Waste Volumes from Video

    SciTech Connect (OSTI)

    Field, Jim G.

    2013-03-27

    Washington River Protection Solutions (WRPS) contracted with HiLine Engineering & Fabrication, Inc. to assess the accuracy of photogrammetry tools as compared to video Camera/CAD Modeling System (CCMS) estimates. This test report documents the results of using photogrammetry to estimate the volume of waste in tank 241-C-I04 from post-retrieval videos and results using photogrammetry to estimate the volume of waste piles in the CCMS test video.

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

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

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

  11. Methodology for EIA Weekly Underground Natural Gas Storage Estimates

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

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

  12. Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic

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

    Downscaling with Doppler Lidar Wind Measurements | Department of Energy Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements Previous estimates of the wind resources in Uttarakhand, India, suggest minimal wind resources in this region. To explore whether or not the complex terrain in fact provides localized regions

  13. Microsoft PowerPoint - Cost Estimating for Hydro Planning

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

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

  14. Guidelines for Estimating Unmetered Industrial Water Use | Department of

    Office of Environmental Management (EM)

    Energy Industrial Water Use Guidelines for Estimating Unmetered Industrial Water Use Document describes a systematic approach to estimate industrial water use in evaporative cooling systems, steam boiler systems, and facility wash applications. It assists Federal agencies in the baseline development by providing a methodology to calculate unmetered sources of industrial water use utilizing engineering estimates. PDF icon est_unmetered_industrial_wtr.pdf More Documents & Publications

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

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

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

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

    Energy Savers [EERE]

    1 Presentations Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 1 Presentations On September 30 and October 1, 2014, the Department of Energy...

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

    Office of Environmental Management (EM)

    2 Presentations Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 2 Presentations On September 30 and October 1, 2014, the Department of Energy...

  18. Autocorrelation Function Statistics and Implication to Decay Ratio Estimation

    SciTech Connect (OSTI)

    March-Leuba, Jose A.

    2016-01-01

    This document summarizes the results of a series of computer simulations to attempt to identify the statistics of the autocorrelation function, and implications for decay ratio estimation.

  19. Estimation of Gas Leak Rates Through Very Small Orifices

    Office of Scientific and Technical Information (OSTI)

    Estimation of Gas Leak Rates Through Very Small Orifices and Channels by Herbert J. Bomelburg February 1977 Prepared for the Nuclear Regulatory Commission -..- Pacific Northwest...

  20. On parameterization of the inverse problem for estimating aquifer...

    Office of Scientific and Technical Information (OSTI)

    Title: On parameterization of the inverse problem for estimating aquifer properties using tracer data Authors: Kowalsky, M. B. ; Finsterle, S. ; Commer, M. ; Williams, K. H. ; ...

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

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

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

  2. Report Now Available: DC Microgrids Scoping Study--Estimate of...

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

    of Technical and Economic Benefits (March 2015) Report Now Available: DC Microgrids Scoping Study--Estimate of Technical and Economic Benefits (March 2015) March 31, ...

  3. Estimating Renewable Energy Economic Potential in the United...

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

    Estimating Renewable Energy Economic Potential in the United States: Methodology and ... 2. Capacity additions and growth II. Economic Potential 1. Summary of initial results ...

  4. Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping...

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

    Hydrogen Supply: Cost Estimate for Hydrogen Pathways-Scoping Analysis. January 22, 2002-July 22, 2002 A report showing a comparative scooping economic analysis of 19 pathways for ...

  5. Issues and Methods for Estimating the Percentage Share of Ethanol...

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

    Energy Information Administration 1 Issues and Methods for Estimating the Share of Ethanol in the Motor Gasoline Supply U.S. Energy Information Administration October 6, 2011...

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

    Energy Savers [EERE]

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

  7. Estimating the Opportunity Cost of REDD+: A Training Manual ...

    Open Energy Info (EERE)

    the Opportunity Cost of REDD+: A Training Manual Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Estimating the Opportunity Cost of REDD+: A Training Manual Agency...

  8. Cost Estimating Guide - DOE Directives, Delegations, and Requirements

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

    1, Cost Estimating Guide by Ruben Sanchez Functional areas: Budget and Financial Management, Financial Management This Guide provides uniform guidance and best practices that...

  9. Output-Based Error Estimation and Adaptation for Uncertainty...

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

    Output-Based Error Estimation and Adaptation for Uncertainty Quantification Isaac M. Asher and Krzysztof J. Fidkowski University of Michigan US National Congress on Computational...

  10. Battery Life Estimation (BLE) and Data Analysis - Energy Innovation...

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

    Energy Storage Energy Analysis Energy Analysis Find More Like This Return to Search Battery Life Estimation (BLE) and Data Analysis Argonne National Laboratory Contact ANL About...

  11. Estimating the Value of Electricity Storage Resources in Electricity...

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

    research and development for electricity storage technologies and applications. PDF icon EAC - Estimating the Value of Electricity Storage Resources in Electricity Markets Oct ...

  12. Quality Guidline for Cost Estimation Methodology for NETL Assessments...

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

    and Benefits 2 Power Plant Cost Estimation Methodology Quality Guidelines for Energy System Studies April 2011 Disclaimer This report was prepared as an account of work...

  13. Analytical Estimations for Thermal Crosstalk Retention and Scaling...

    Office of Scientific and Technical Information (OSTI)

    and Scaling Limits in Resistive Memory. Citation Details In-Document Search Title: Analytical Estimations for Thermal Crosstalk Retention and Scaling Limits in Resistive Memory. ...

  14. Derivative-free optimization for parameter estimation in computational...

    Office of Scientific and Technical Information (OSTI)

    in computational nuclear physics Citation Details In-Document Search Title: Derivative-free optimization for parameter estimation in computational nuclear physics Authors: ...

  15. Wind Resource Estimation and Mapping at the National Renewable...

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

    Resource Estimation and Mapping at the National Renewable Energy Laboratory April 1999 * NRELCP-500-26245 M. Schwartz Presented at the ASES Solar '99 Conference Portland, Maine...

  16. Estimating atmospheric parameters and reducing noise for multispectral imaging

    DOE Patents [OSTI]

    Conger, James Lynn

    2014-02-25

    A method and system for estimating atmospheric radiance and transmittance. An atmospheric estimation system is divided into a first phase and a second phase. The first phase inputs an observed multispectral image and an initial estimate of the atmospheric radiance and transmittance for each spectral band and calculates the atmospheric radiance and transmittance for each spectral band, which can be used to generate a "corrected" multispectral image that is an estimate of the surface multispectral image. The second phase inputs the observed multispectral image and the surface multispectral image that was generated by the first phase and removes noise from the surface multispectral image by smoothing out change in average deviations of temperatures.

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

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

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

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

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

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

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

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

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

  20. Regional Scale Surface CO2 Exchange Estimates Using a Boundary...

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

    Estimates Using a Boundary Layer Budget Method over the Southern Great Plains Williams, Ian University of Chicago Riley, William Lawrence Berkeley National Laboratory...

  1. Energy savings estimates and cost benefit calculations for high...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Energy savings estimates and cost benefit calculations for high performance relocatable classrooms Citation Details In-Document Search Title: Energy savings ...

  2. A Simple, Fast Method of Estimating Fractured Reservoir Geometry...

    Open Energy Info (EERE)

    Fractured Reservoir Geometry from Tracer Tests Abstract A simple method of estimating flow geometry and pore geometry from conservative tracer tests in single phase geothermal...

  3. Estimation of the relationship between remotely sensed anthropogenic...

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Search Results Journal Article: Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use Citation Details ...

  4. Reconciling estimates of the contemporary North American carbon...

    Office of Scientific and Technical Information (OSTI)

    of carbon stocks and flux, and the uncertainties inherent in each approach. The alternative approaches to estimating continental scale carbon fluxes that we explored here can...

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

    Office of Scientific and Technical Information (OSTI)

    glass formulation and melter testing data have suggested that significant increases in waste loading in HLW and LAW glasses are possible over current system planning estimates....

  6. Retrofit Energy Savings Estimation Model | Open Energy Information

    Open Energy Info (EERE)

    Desktop Application Website: btech.lbl.govtoolsresemresem.htm Cost: Free Language: English References: Retrofit Energy Savings Estimation Model1 Logo: Retrofit...

  7. Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic...

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

    Previous estimates of the wind resources in Uttarakhand, India, suggest minimal wind resources in this region. To explore whether or not the complex terrain in fact provides ...

  8. Geothermal reservoir temperatures estimated from the oxygen isotope...

    Open Energy Info (EERE)

    applied to thermal systems of Yellowstone Park, Wyoming, Long Valley, California, and Raft River, Idaho to estimate deep reservoir temperatures of 360, 240, and 142C,...

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

    Open Energy Info (EERE)

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

  10. Concurrent signal combining and channel estimation in digital communications

    DOE Patents [OSTI]

    Ormesher, Richard C. (Albuquerque, NM); Mason, John J. (Albuquerque, NM)

    2011-08-30

    In the reception of digital information transmitted on a communication channel, a characteristic exhibited by the communication channel during transmission of the digital information is estimated based on a communication signal that represents the digital information and has been received via the communication channel. Concurrently with the estimating, the communication signal is used to decide what digital information was transmitted.

  11. INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE (ICE) Standard

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

    Operating Procedures | Department of Energy INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE (ICE) Standard Operating Procedures INDEPENDENT COST REVIEW (ICR) and INDEPENDENT COST ESTIMATE (ICE) Standard Operating Procedures PDF icon ICR_ICE SOP_Sep 2013_Final.pdf More Documents & Publications ICR-ICE Standard Operating Procedures (Update Sept 2013) Contractor SOW Template - ICR Contractor SOW Template - ICE

  12. Cost estimating issues in the Russian integrated system planning context

    SciTech Connect (OSTI)

    Allentuck, J.

    1996-03-01

    An important factor in the credibility of an optimal capacity expansion plan is the accuracy of cost estimates given the uncertainty of future economic conditions. This paper examines the problems associated with estimating investment and operating costs in the Russian nuclear power context over the period 1994 to 2010.

  13. Estimating the spatio-temporal distribution of geochemical parameters

    Office of Scientific and Technical Information (OSTI)

    associated with biostimulation using spectral induced polarization data and hierarchical Bayesian models (Journal Article) | SciTech Connect Estimating the spatio-temporal distribution of geochemical parameters associated with biostimulation using spectral induced polarization data and hierarchical Bayesian models Citation Details In-Document Search Title: Estimating the spatio-temporal distribution of geochemical parameters associated with biostimulation using spectral induced polarization

  14. The ARM Best Estimate 2-dimensional Gridded Surface

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

    Xie,Shaocheng; Qi, Tang

    The ARM Best Estimate 2-dimensional Gridded Surface (ARMBE2DGRID) data set merges together key surface measurements at the Southern Great Plains (SGP) sites and interpolates the data to a regular 2D grid to facilitate data application. Data from the original site locations can be found in the ARM Best Estimate Station-based Surface (ARMBESTNS) data set.

  15. Cost estimate guidelines for advanced nuclear power technologies

    SciTech Connect (OSTI)

    Delene, J.G.; Hudson, C.R. II.

    1990-03-01

    To make comparative assessments of competing technologies, consistent ground rules must be applied when developing cost estimates. This document provides a uniform set of assumptions, ground rules, and requirements that can be used in developing cost estimates for advanced nuclear power technologies. 10 refs., 8 figs., 32 tabs.

  16. Sensitivity of health risk estimates to air quality adjustment procedure

    SciTech Connect (OSTI)

    Whitfield, R.G.

    1997-06-30

    This letter is a summary of risk results associated with exposure estimates using two-parameter Weibull and quadratic air quality adjustment procedures (AQAPs). New exposure estimates were developed for children and child-occurrences, six urban areas, and five alternative air quality scenarios. In all cases, the Weibull and quadratic results are compared to previous results, which are based on a proportional AQAP.

  17. The ARM Best Estimate 2-dimensional Gridded Surface

    SciTech Connect (OSTI)

    Xie,Shaocheng; Qi, Tang

    2015-06-15

    The ARM Best Estimate 2-dimensional Gridded Surface (ARMBE2DGRID) data set merges together key surface measurements at the Southern Great Plains (SGP) sites and interpolates the data to a regular 2D grid to facilitate data application. Data from the original site locations can be found in the ARM Best Estimate Station-based Surface (ARMBESTNS) data set.

  18. How to Estimate the Value of Service Reliability Improvements

    SciTech Connect (OSTI)

    Sullivan, Michael J.; Mercurio, Matthew G.; Schellenberg, Josh A.; Eto, Joseph H.

    2010-06-08

    A robust methodology for estimating the value of service reliability improvements is presented. Although econometric models for estimating value of service (interruption costs) have been established and widely accepted, analysts often resort to applying relatively crude interruption cost estimation techniques in assessing the economic impacts of transmission and distribution investments. This paper first shows how the use of these techniques can substantially impact the estimated value of service improvements. A simple yet robust methodology that does not rely heavily on simplifying assumptions is presented. When a smart grid investment is proposed, reliability improvement is one of the most frequently cited benefits. Using the best methodology for estimating the value of this benefit is imperative. By providing directions on how to implement this methodology, this paper sends a practical, usable message to the industry.

  19. Kalman filter data assimilation: Targeting observations and parameter estimation

    SciTech Connect (OSTI)

    Bellsky, Thomas Kostelich, Eric J.; Mahalov, Alex

    2014-06-15

    This paper studies the effect of targeted observations on state and parameter estimates determined with Kalman filter data assimilation (DA) techniques. We first provide an analytical result demonstrating that targeting observations within the Kalman filter for a linear model can significantly reduce state estimation error as opposed to fixed or randomly located observations. We next conduct observing system simulation experiments for a chaotic model of meteorological interest, where we demonstrate that the local ensemble transform Kalman filter (LETKF) with targeted observations based on largest ensemble variance is skillful in providing more accurate state estimates than the LETKF with randomly located observations. Additionally, we find that a hybrid ensemble Kalman filter parameter estimation method accurately updates model parameters within the targeted observation context to further improve state estimation.

  20. Improving Estimation Accuracy of Aggregate Queries on Data Cubes

    SciTech Connect (OSTI)

    Pourabbas, Elaheh; Shoshani, Arie

    2008-08-15

    In this paper, we investigate the problem of estimation of a target database from summary databases derived from a base data cube. We show that such estimates can be derived by choosing a primary database which uses a proxy database to estimate the results. This technique is common in statistics, but an important issue we are addressing is the accuracy of these estimates. Specifically, given multiple primary and multiple proxy databases, that share the same summary measure, the problem is how to select the primary and proxy databases that will generate the most accurate target database estimation possible. We propose an algorithmic approach for determining the steps to select or compute the source databases from multiple summary databases, which makes use of the principles of information entropy. We show that the source databases with the largest number of cells in common provide the more accurate estimates. We prove that this is consistent with maximizing the entropy. We provide some experimental results on the accuracy of the target database estimation in order to verify our results.

  1. Estimation of economic parameters of U.S. hydropower resources

    SciTech Connect (OSTI)

    Hall, Douglas G.; Hunt, Richard T.; Reeves, Kelly S.; Carroll, Greg R.

    2003-06-01

    Tools for estimating the cost of developing and operating and maintaining hydropower resources in the form of regression curves were developed based on historical plant data. Development costs that were addressed included: licensing, construction, and five types of environmental mitigation. It was found that the data for each type of cost correlated well with plant capacity. A tool for estimating the annual and monthly electric generation of hydropower resources was also developed. Additional tools were developed to estimate the cost of upgrading a turbine or a generator. The development and operation and maintenance cost estimating tools, and the generation estimating tool were applied to 2,155 U.S. hydropower sites representing a total potential capacity of 43,036 MW. The sites included totally undeveloped sites, dams without a hydroelectric plant, and hydroelectric plants that could be expanded to achieve greater capacity. Site characteristics and estimated costs and generation for each site were assembled in a database in Excel format that is also included within the EERE Library under the title, “Estimation of Economic Parameters of U.S. Hydropower Resources - INL Hydropower Resource Economics Database.”

  2. Model Year 2011 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2010-11-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.

  3. Model Year 2012 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2011-11-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.

  4. Model Year 2013 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2012-12-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles.

  5. Estimating pixel variances in the scenes of staring sensors

    DOE Patents [OSTI]

    Simonson, Katherine M. (Cedar Crest, NM); Ma, Tian J. (Albuquerque, NM)

    2012-01-24

    A technique for detecting changes in a scene perceived by a staring sensor is disclosed. The technique includes acquiring a reference image frame and a current image frame of a scene with the staring sensor. A raw difference frame is generated based upon differences between the reference image frame and the current image frame. Pixel error estimates are generated for each pixel in the raw difference frame based at least in part upon spatial error estimates related to spatial intensity gradients in the scene. The pixel error estimates are used to mitigate effects of camera jitter in the scene between the current image frame and the reference image frame.

  6. Monitored Geologic Repository Life Cycle Cost Estimate Assumptions Document

    SciTech Connect (OSTI)

    R. Sweeney

    2000-03-08

    The purpose of this assumptions document is to provide general scope, strategy, technical basis, schedule and cost assumptions for the Monitored Geologic Repository (MGR) life cycle cost estimate and schedule update incorporating information from the Viability Assessment (VA), License Application Design Selection (LADS), 1999 Update to the Total System Life Cycle Cost (TSLCC) estimate and from other related and updated information. This document is intended to generally follow the assumptions outlined in the previous MGR cost estimates and as further prescribed by DOE guidance.

  7. MONITORED GEOLOGIC REPOSITORY LIFE CYCLE COST ESTIMATE ASSUMPTIONS DOCUMENT

    SciTech Connect (OSTI)

    R.E. Sweeney

    2001-02-08

    The purpose of this assumptions document is to provide general scope, strategy, technical basis, schedule and cost assumptions for the Monitored Geologic Repository (MGR) life cycle cost (LCC) estimate and schedule update incorporating information from the Viability Assessment (VA) , License Application Design Selection (LADS), 1999 Update to the Total System Life Cycle Cost (TSLCC) estimate and from other related and updated information. This document is intended to generally follow the assumptions outlined in the previous MGR cost estimates and as further prescribed by DOE guidance.

  8. Summary and Presentations from "Estimating the Benefits and Costs...

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

    Energy hosted a two-day workshop on "Estimating the Benefits and Costs of Distributed Energy Technologies" in Washington DC. The purpose of the workshop was to foster discussion...

  9. Neptunium estimation in dissolver and high-level-waste solutions

    SciTech Connect (OSTI)

    Pathak, P.N.; Prabhu, D.R.; Kanekar, A.S.; Manchanda, V.K.

    2008-07-01

    This papers deals with the optimization of the experimental conditions for the estimation of {sup 237}Np in spent-fuel dissolver/high-level waste solutions using thenoyltrifluoroacetone as the extractant. (authors)

  10. Estimates of Particulate Mass in Multi Canister Overpacks (MCO)

    SciTech Connect (OSTI)

    SLOUGHTER, J.P.

    2000-02-16

    High, best estimate, and low values are developed for particulate inventories within MCO baskets that have been loaded with freshly cleaned fuel assemblies and scrap. These per-basket estimates are then applied to all anticipated MCO payload configurations to identify which configurations are bounding for each type of particulate. Finally the resulting bounding and nominal values for residual particulates are combined with corresponding values [from other documents] for particulates that may be generated by corrosion of exposed uranium after the fuel has been cleaned. The resulting rounded nominal estimate for a typical MCO after 40 years of storage is 8 kg. The estimate for a bounding total particulate case MCO is that it may contain up to 64 kg of particulate after 40 years of storage.

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

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

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

  12. Chapter 1: Estimating prospective benefits of EERE's portfolio

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EEREs programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  13. Estimates of U.S. Biomass Energy Consumption 1992

    Reports and Publications (EIA)

    1994-01-01

    This report is the seventh in a series of publications developed by the Energy Information Administration (EIA) to quantify the biomass derived primary energy used by the U.S. economy. It presents estimates of 1991 and 1992 consumption.

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

    SciTech Connect (OSTI)

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

    2015-01-27

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

  15. Property:EstimatedTimeMedian | Open Energy Information

    Open Energy Info (EERE)

    week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Pages using the property "EstimatedTimeMedian" Showing 25 pages...

  16. Property:EstimatedTimeLow | Open Energy Information

    Open Energy Info (EERE)

    week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Pages using the property "EstimatedTimeLow" Showing 25 pages...

  17. Property:EstimatedTimeHigh | Open Energy Information

    Open Energy Info (EERE)

    week,w,Week,Weeks,W,WEEK,WEEKS 12 months,month,m,Month,Months,M,MONTH,MONTHS 1 years,year,y,Year,Years,Y,YEAR,YEARS Pages using the property "EstimatedTimeHigh" Showing 25 pages...

  18. Temperature estimates from zircaloy oxidation kinetics and microstructures. [PWR

    SciTech Connect (OSTI)

    Olsen, C.S.

    1982-10-01

    This report reviews state-of-the-art capability to determine peak zircaloy fuel rod cladding temperatures following an abnormal temperature excursion in a nuclear reactor, based on postirradiation metallographic analysis of zircaloy microstructural and oxidation characteristics. Results of a comprehensive literature search are presented to evaluate the suitability of available zircaloy microstructural and oxidation data for estimating anticipated reactor fuel rod cladding temperatures. Additional oxidation experiments were conducted to evaluate low-temperature zircaloy oxidation characteristics for postirradiation estimation of cladding temperature by metallographic examination. Results of these experiments were used to calculate peak cladding temperatures of electrical heater rods and nuclear fuel rods that had been subjected to reactor temperature transients. Comparison of the calculated and measured peak cladding temperatures for these rods indicates that oxidation kinetics is a viable technique for estimating peak cladding temperatures over a broad temperature range. However, further improvement in zircaloy microstructure technology is necessary for precise estimation of peak cladding temperatures by microstructural examination.

  19. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    SciTech Connect (OSTI)

    Phadke, Amol; Bharvirkar, Ranjit; Khangura, Jagmeet

    2011-09-15

    We assess developable on-shore wind potential in India at three different hub-heights and under two sensitivity scenarios one with no farmland included, the other with all farmland included. Under the no farmland included case, the total wind potential in India ranges from 748 GW at 80m hub-height to 976 GW at 120m hub-height. Under the all farmland included case, the potential with a minimum capacity factor of 20 percent ranges from 984 GW to 1,549 GW. High quality wind energy sites, at 80m hub-height with a minimum capacity factor of 25 percent, have a potential between 253 GW (no farmland included) and 306 GW (all farmland included). Our estimates are more than 15 times the current official estimate of wind energy potential in India (estimated at 50m hub height) and are about one tenth of the official estimate of the wind energy potential in the US.

  20. U.S. Uranium Reserves Estimates - Energy Information Administration

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

    all Nuclear Reports U.S. Uranium Reserves Estimates Data for: 2008 | Release Date: July 2010 | Next Release Date: Discontinued The U.S. Energy Information Administration (EIA) has...

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

    Open Energy Info (EERE)

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

  2. Table 4. Estimation Results for PAD District Regions

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

    Estimation Results for PAD District Regions Dependent Variable: D(RETPAD1) Dependent Variable: D(RETPAD2) Dependent Variable: D(RETPAD3) Dependent Variable: D(RETPAD4) Dependent...

  3. Preliminary relative permeability estimates of methanehydrate-bearing sand

    SciTech Connect (OSTI)

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

    2006-05-08

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

  4. Preliminary relative permeability estimates of methanehydrate-bearing sand

    SciTech Connect (OSTI)

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

    2006-05-08

    The relative permeability to fluids in hydrate-bearingsediments is an important parameter for predicting natural gas productionfrom gas hydrate reservoirs. We estimated the relative permeabilityparameters (van Genuchten alpha and m) in a hydrate-bearing sand by meansof inverse modeling, which involved matching water saturation predictionswith observations from a controlled waterflood experiment. We used x-raycomputed tomography (CT) scanning to determine both the porosity and thehydrate and aqueous phase saturation distributions in the samples. X-rayCT images showed that hydrate and aqueous phase saturations arenon-uniform, and that water flow focuses in regions of lower hydratesaturation. The relative permeability parameters were estimated at twolocations in each sample. Differences between the estimated parametersets at the two locations were attributed to heterogeneity in the hydratesaturation. Better estimates of the relative permeability parametersrequire further refinement of the experimental design, and betterdescription of heterogeneity in the numerical inversions.

  5. Appendix C: Biomass Program inputs for FY 2008 benefits estimates

    SciTech Connect (OSTI)

    None, None

    2009-01-18

    Document summarizes the results of the benefits analysis of EERE’s programs, as described in the FY 2008 Budget Request. EERE estimates benefits for its overall portfolio and nine Research, Development, Demonstration, and Deployment (RD3) programs.

  6. Estimates of particulate mass in multi-canister overpacks

    SciTech Connect (OSTI)

    SLOUGHTER, J.P.

    1999-02-25

    High, best estimate, and low values are developed for particulate inventories within MCO baskets that have been loaded with freshly cleaned fuel assemblies and scrap. These per-basket estimates are then applied to all anticipated MCO payload configurations to identify which configurations are bounding for each type of particulate. Finally the resulting bounding and nominal values for residual particulates are combined with corresponding values [from other documents] for particulate that may be generated by corrosion of exposed uranium after the fuel has been cleaned. The resulting rounded nominal estimate for a typical MCO after 40 years of storage is 8 kg. The estimate for a bounding total particulate case MCO is that it may contain up to 64 kg of particulate after 40 years of storage.

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

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

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

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

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

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

  9. Estimating propagation velocity through a surface acoustic wave sensor

    DOE Patents [OSTI]

    Xu, Wenyuan (Oakdale, MN); Huizinga, John S. (Dellwood, MN)

    2010-03-16

    Techniques are described for estimating the propagation velocity through a surface acoustic wave sensor. In particular, techniques which measure and exploit a proper segment of phase frequency response of the surface acoustic wave sensor are described for use as a basis of bacterial detection by the sensor. As described, use of velocity estimation based on a proper segment of phase frequency response has advantages over conventional techniques that use phase shift as the basis for detection.

  10. Estimating demolition cost of plutonium buildings for dummies

    SciTech Connect (OSTI)

    Tower, S.E.

    2000-07-01

    The primary purpose of the Rocky Flats Field Office of the US Department of Energy is to decommission the entire plant. In an effort to improve the basis and the accuracy of the future decommissioning cost, Rocky Flats has developed a powerful but easy-to-use tool to determine budget cost estimates to characterize, decontaminate, and demolish all its buildings. The parametric cost-estimating tool is called the Facilities Disposition Cost Model (FDCM).

  11. RADIATION DOSE ESTIMATES TO ADULTS AND CHILDREN FROM VARIOUS

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

    RADIATION DOSE ESTIMATES TO ADULTS AND CHILDREN FROM VARIOUS RADIOPHARMACEUTICALS Latest Revision Date: 4/30/96 Radiation Internal Dose Information Center Oak Ridge Institute for Science and Education P.O. Box 117 Mail Stop 51 Oak Ridge, TN 37831 The radiopharmaceuticals and nuclear medicine studies considered in this report are listed in the Table of Contents on page 2. The radiation dose estimates given in the dose tables are based on the assumptions and models given in Chapter 17, Radiation

  12. Using doppler radar images to estimate aircraft navigational heading error

    DOE Patents [OSTI]

    Doerry, Armin W. (Albuquerque, NM); Jordan, Jay D. (Albuquerque, NM); Kim, Theodore J. (Albuquerque, NM)

    2012-07-03

    A yaw angle error of a motion measurement system carried on an aircraft for navigation is estimated from Doppler radar images captured using the aircraft. At least two radar pulses aimed at respectively different physical locations in a targeted area are transmitted from a radar antenna carried on the aircraft. At least two Doppler radar images that respectively correspond to the at least two transmitted radar pulses are produced. These images are used to produce an estimate of the yaw angle error.

  13. On parameterization of the inverse problem for estimating aquifer

    Office of Scientific and Technical Information (OSTI)

    properties using tracer data (Journal Article) | SciTech Connect On parameterization of the inverse problem for estimating aquifer properties using tracer data Citation Details In-Document Search Title: On parameterization of the inverse problem for estimating aquifer properties using tracer data Authors: Kowalsky, M. B. ; Finsterle, S. ; Commer, M. ; Williams, K. H. ; Murray, C. ; Newcomer, D. ; Englert, A. ; Steefel, C. I. ; Hubbard, S. S. Publication Date: 2012-01-01 OSTI Identifier:

  14. Reliable estimation of biochemical parameters from C3 leaf

    Office of Scientific and Technical Information (OSTI)

    photosynthesis-intercellular carbon dioxide response curves (Journal Article) | SciTech Connect Journal Article: Reliable estimation of biochemical parameters from C3 leaf photosynthesis-intercellular carbon dioxide response curves Citation Details In-Document Search Title: Reliable estimation of biochemical parameters from C3 leaf photosynthesis-intercellular carbon dioxide response curves The Farquhar-von Caemmerer-Berry (FvCB) model of photosynthesis is a change-point model and

  15. PROJECT PROFILE: Improving PV performance Estimates in the System Advisor

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

    Model with Component and System Reliability Metrics | Department of Energy Improving PV performance Estimates in the System Advisor Model with Component and System Reliability Metrics PROJECT PROFILE: Improving PV performance Estimates in the System Advisor Model with Component and System Reliability Metrics Funding Opportunity: SuNLaMP SunShot Subprogram: Photovoltaics Location: Sandia National Laboratories, Albuquerque, NM Amount Awarded: $600,000 This project will improve the forecasting

  16. Estimating the Benefits and Costs of Distributed Energy Technologies

    Energy Savers [EERE]

    Workshop - Agenda and Summary | Department of Energy Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and Summary Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Agenda and Summary On September 30 and October 1, 2014, the Department of Energy hosted a 2-day workshop on "Estimating the Benefits and Costs of Distributed Energy Technologies." The purpose of the workshop was to foster discussion about the analytic challenges

  17. Derivative-free optimization for parameter estimation in computational

    Office of Scientific and Technical Information (OSTI)

    nuclear physics (Journal Article) | SciTech Connect Journal Article: Derivative-free optimization for parameter estimation in computational nuclear physics Citation Details In-Document Search Title: Derivative-free optimization for parameter estimation in computational nuclear physics Authors: Wild, S ; Sarich, J ; Schunck, N Publication Date: 2014-06-20 OSTI Identifier: 1177246 Report Number(s): LLNL-JRNL-656057 DOE Contract Number: DE-AC52-07NA27344 Resource Type: Journal Article Resource

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

    Office of Scientific and Technical Information (OSTI)

    relocatable classrooms (Technical Report) | SciTech Connect Technical Report: Energy savings estimates and cost benefit calculations for high performance relocatable classrooms Citation Details In-Document Search Title: Energy savings estimates and cost benefit calculations for high performance relocatable classrooms This report addresses the results of detailed monitoring completed under Program Element 6 of Lawrence Berkeley National Laboratory's High Performance Commercial Building

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

    Office of Scientific and Technical Information (OSTI)

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

  20. Estimation of Anisotoropy from Total Cross Section and Optical Model

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Estimation of Anisotoropy from Total Cross Section and Optical Model Citation Details In-Document Search Title: Estimation of Anisotoropy from Total Cross Section and Optical Model Authors: Kawano, Toshihiko [1] + Show Author Affiliations Los Alamos National Laboratory Publication Date: 2013-06-03 OSTI Identifier: 1082234 Report Number(s): LA-UR-13-24025 DOE Contract Number: AC52-06NA25396 Resource Type: Conference Resource Relation: Conference: Working Party

  1. Evaluation of Thermal Evolution Profiles and Estimation of Kinetic

    Office of Scientific and Technical Information (OSTI)

    Parameters for Pyrolysis of Coal/Corn Stover Blends Using Thermogravimetric Analysis (Journal Article) | SciTech Connect Journal Article: Evaluation of Thermal Evolution Profiles and Estimation of Kinetic Parameters for Pyrolysis of Coal/Corn Stover Blends Using Thermogravimetric Analysis Citation Details In-Document Search Title: Evaluation of Thermal Evolution Profiles and Estimation of Kinetic Parameters for Pyrolysis of Coal/Corn Stover Blends Using Thermogravimetric Analysis Authors:

  2. Estimation of the relationship between remotely sensed anthropogenic heat

    Office of Scientific and Technical Information (OSTI)

    discharge and building energy use (Journal Article) | SciTech Connect SciTech Connect Search Results Journal Article: Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use Citation Details In-Document Search Title: Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use This paper examined the relationship between remotely sensed anthropogenic heat discharge and energy use from

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

    Office of Scientific and Technical Information (OSTI)

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

  4. A Sensitivity Analysis of a Thin Film Conductivity Estimation Method

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Conference: A Sensitivity Analysis of a Thin Film Conductivity Estimation Method Citation Details In-Document Search Title: A Sensitivity Analysis of a Thin Film Conductivity Estimation Method An analysis method was developed for determining the thermal conductivity of a thin film on a substrate of known thermal properties using the flash diffusivity method. In order to determine the thermal conductivity of the film using this method, the volumetric heat

  5. Adaptive Wavenumber Estimation for Mode Tracking in a Shallow Ocean

    Office of Scientific and Technical Information (OSTI)

    Environment (Conference) | SciTech Connect Adaptive Wavenumber Estimation for Mode Tracking in a Shallow Ocean Environment Citation Details In-Document Search Title: Adaptive Wavenumber Estimation for Mode Tracking in a Shallow Ocean Environment Authors: Candy, J V Publication Date: 2012-06-28 OSTI Identifier: 1059076 Report Number(s): LLNL-CONF-563556 DOE Contract Number: W-7405-ENG-48 Resource Type: Conference Resource Relation: Conference: Presented at: IEEE OCEANS '12, Hampton Roads, VA,

  6. Analytical Estimations for Thermal Crosstalk Retention and Scaling Limits

    Office of Scientific and Technical Information (OSTI)

    in Resistive Memory. (Journal Article) | SciTech Connect Analytical Estimations for Thermal Crosstalk Retention and Scaling Limits in Resistive Memory. Citation Details In-Document Search Title: Analytical Estimations for Thermal Crosstalk Retention and Scaling Limits in Resistive Memory. Abstract not provided. Authors: Lohn, Andrew ; Mickel, Patrick R. ; Marinella, Matthew Publication Date: 2014-04-01 OSTI Identifier: 1141816 Report Number(s): SAND2014-2997J 507562 DOE Contract Number:

  7. DC Microgrids Scoping Study: Estimate of Technical and Economic Benefits

    Energy Savers [EERE]

    (March 2015) | Department of Energy Microgrids Scoping Study: Estimate of Technical and Economic Benefits (March 2015) DC Microgrids Scoping Study: Estimate of Technical and Economic Benefits (March 2015) Microgrid demonstrations and deployments have shown the ability of microgrids to provide higher reliability and higher power quality than utility power systems and improved energy utilization. The vast majority of these microgrids are based on AC power, but some manufacturers, power system

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

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

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

  9. Estimation and Control of Diesel Engine Processes Utilizing Variable Intake

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

    Valve Actuation | Department of Energy Estimation and Control of Diesel Engine Processes Utilizing Variable Intake Valve Actuation Estimation and Control of Diesel Engine Processes Utilizing Variable Intake Valve Actuation Air handling system model for multi-cylinder variable geometry turbocharged diesel engine with cooled EGR and flexible intake valve actuation developed to capture dynamic effects of gas exchange actuators PDF icon deer12_kocher.pdf More Documents & Publications Slide

  10. DOE Challenge Home Savings & Cost Estimate Summary

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

    DOE Challenge Home Savings & Cost Estimate Summary November 2013 www.buildings.energy.gov/challenge DOE Challenge Home Savings & Cost Estimate Summary November 2013 INTRODUCTION In considering the business strategy for constructing and selling Zero Energy Ready Homes through the DOE Challenge Home program, builders and other program partners understandably want to know about the added costs. Upgrades in insulation, air sealing, mechanical equipment and other systems will mean both

  11. Statistical Surrogate Models for Estimating Probability of High-Consequence

    Office of Scientific and Technical Information (OSTI)

    Climate Change. (Conference) | SciTech Connect Statistical Surrogate Models for Estimating Probability of High-Consequence Climate Change. Citation Details In-Document Search Title: Statistical Surrogate Models for Estimating Probability of High-Consequence Climate Change. Abstract not provided. Authors: Field, Richard V., ; Boslough, Mark B. E. ; Constantine, Paul Publication Date: 2011-10-01 OSTI Identifier: 1106521 Report Number(s): SAND2011-8231C 465067 DOE Contract Number:

  12. Estimating the Benefits and Costs of Distributed Energy Technologies

    Office of Environmental Management (EM)

    Workshop - Day 1 Presentations | Department of Energy 1 Presentations Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 1 Presentations On September 30 and October 1, 2014, the Department of Energy hosted a 2-day workshop on "Estimating the Benefits and Costs of Distributed Energy Technologies." The purpose of the workshop was to foster discussion about the analytic challenges associated with valuing the diverse impacts of deploying distributed

  13. Estimating the Benefits and Costs of Distributed Energy Technologies

    Office of Environmental Management (EM)

    Workshop - Day 2 Presentations | Department of Energy 2 Presentations Estimating the Benefits and Costs of Distributed Energy Technologies Workshop - Day 2 Presentations On September 30 and October 1, 2014, the Department of Energy hosted a 2-day workshop on "Estimating the Benefits and Costs of Distributed Energy Technologies." The purpose of the workshop was to foster discussion about the analytic challenges associated with valuing the diverse impacts of deploying distributed

  14. Guidelines for Estimating Unmetered Landscaping Water Use | Department of

    Office of Environmental Management (EM)

    Energy Landscaping Water Use Guidelines for Estimating Unmetered Landscaping Water Use Document describes the step-by-step instructions to estimate landscaping water using two alternative approaches: the evapotranspiration method and the irrigation audit method. This report presents annual irrigation factors for 36 cities across the United States that represent the gallons of irrigation required per square foot for distinct landscape types. PDF icon est_unmetered_landscape_wtr.pdf More

  15. UWB channel estimation using new generating TR transceivers

    DOE Patents [OSTI]

    Nekoogar, Faranak (San Ramon, CA); Dowla, Farid U. (Castro Valley, CA); Spiridon, Alex (Palo Alto, CA); Haugen, Peter C. (Livermore, CA); Benzel, Dave M. (Livermore, CA)

    2011-06-28

    The present invention presents a simple and novel channel estimation scheme for UWB communication systems. As disclosed herein, the present invention maximizes the extraction of information by incorporating a new generation of transmitted-reference (Tr) transceivers that utilize a single reference pulse(s) or a preamble of reference pulses to provide improved channel estimation while offering higher Bit Error Rate (BER) performance and data rates without diluting the transmitter power.

  16. Verification of unfold error estimates in the unfold operator code

    SciTech Connect (OSTI)

    Fehl, D.L.; Biggs, F.

    1997-01-01

    Spectral unfolding is an inverse mathematical operation that attempts to obtain spectral source information from a set of response functions and data measurements. Several unfold algorithms have appeared over the past 30 years; among them is the unfold operator (UFO) code written at Sandia National Laboratories. In addition to an unfolded spectrum, the UFO code also estimates the unfold uncertainty (error) induced by estimated random uncertainties in the data. In UFO the unfold uncertainty is obtained from the error matrix. This built-in estimate has now been compared to error estimates obtained by running the code in a Monte Carlo fashion with prescribed data distributions (Gaussian deviates). In the test problem studied, data were simulated from an arbitrarily chosen blackbody spectrum (10 keV) and a set of overlapping response functions. The data were assumed to have an imprecision of 5{percent} (standard deviation). One hundred random data sets were generated. The built-in estimate of unfold uncertainty agreed with the Monte Carlo estimate to within the statistical resolution of this relatively small sample size (95{percent} confidence level). A possible 10{percent} bias between the two methods was unresolved. The Monte Carlo technique is also useful in underdetermined problems, for which the error matrix method does not apply. UFO has been applied to the diagnosis of low energy x rays emitted by Z-pinch and ion-beam driven hohlraums. {copyright} {ital 1997 American Institute of Physics.}

  17. Atmospheric Inverse Estimates of Methane Emissions from Central California

    SciTech Connect (OSTI)

    Zhao, Chuanfeng; Andrews, Arlyn E.; Bianco, Laura; Eluszkiewicz, Janusz; Hirsch, Adam; MacDonald, Clinton; Nehrkorn, Thomas; Fischer, Marc L.

    2008-11-21

    Methane mixing ratios measured at a tall-tower are compared to model predictions to estimate surface emissions of CH{sub 4} in Central California for October-December 2007 using an inverse technique. Predicted CH{sub 4} mixing ratios are calculated based on spatially resolved a priori CH{sub 4} emissions and simulated atmospheric trajectories. The atmospheric trajectories, along with surface footprints, are computed using the Weather Research and Forecast (WRF) coupled to the Stochastic Time-Inverted Lagrangian Transport (STILT) model. An uncertainty analysis is performed to provide quantitative uncertainties in estimated CH{sub 4} emissions. Three inverse model estimates of CH{sub 4} emissions are reported. First, linear regressions of modeled and measured CH{sub 4} mixing ratios obtain slopes of 0.73 {+-} 0.11 and 1.09 {+-} 0.14 using California specific and Edgar 3.2 emission maps respectively, suggesting that actual CH{sub 4} emissions were about 37 {+-} 21% higher than California specific inventory estimates. Second, a Bayesian 'source' analysis suggests that livestock emissions are 63 {+-} 22% higher than the a priori estimates. Third, a Bayesian 'region' analysis is carried out for CH{sub 4} emissions from 13 sub-regions, which shows that inventory CH{sub 4} emissions from the Central Valley are underestimated and uncertainties in CH{sub 4} emissions are reduced for sub-regions near the tower site, yielding best estimates of flux from those regions consistent with 'source' analysis results. The uncertainty reductions for regions near the tower indicate that a regional network of measurements will be necessary to provide accurate estimates of surface CH{sub 4} emissions for multiple regions.

  18. CALIBRATING C-IV-BASED BLACK HOLE MASS ESTIMATORS

    SciTech Connect (OSTI)

    Park, Daeseong; Woo, Jong-Hak; Shin, Jaejin [Astronomy Program, Department of Physics and Astronomy, Seoul National University, Seoul 151-742 (Korea, Republic of); Denney, Kelly D., E-mail: pds2001@astro.snu.ac.kr, E-mail: woo@astro.snu.ac.kr, E-mail: jjshin@astro.snu.ac.kr, E-mail: kelly@dark-cosmology.dk [Dark Cosmology Centre, Niels Bohr Institute, Juliane Maries Vej 30, DK-2100 Copenhagen O (Denmark)

    2013-06-20

    We present the single-epoch black hole mass estimators based on the C IV {lambda}1549 broad emission line, using the updated sample of the reverberation-mapped active galactic nuclei and high-quality UV spectra. By performing multi-component spectral fitting analysis, we measure the C IV line widths (FWHM{sub C{sub IV}} and line dispersion, {sigma}{sub C{sub IV}}) and the continuum luminosity at 1350 A (L{sub 1350}) to calibrate the C-IV-based mass estimators. By comparing with the H{beta} reverberation-based masses, we provide new mass estimators with the best-fit relationships, i.e., M{sub BH}{proportional_to}L{sub 1350}{sup 0.50{+-}0.07}{sigma}{sub C{sub IV}{sup 2}} and M{sub BH}{proportional_to}L{sub 1350}{sup 0.52{+-}0.09} FWHM{sub C{sub IV}{sup 0.56{+-}0.48}}. The new C-IV-based mass estimators show significant mass-dependent systematic difference compared to the estimators commonly used in the literature. Using the published Sloan Digital Sky Survey QSO catalog, we show that the black hole mass of high-redshift QSOs decreases on average by {approx}0.25 dex if our recipe is adopted.

  19. Estimation of uncertainty for contour method residual stress measurements

    SciTech Connect (OSTI)

    Olson, Mitchell D.; DeWald, Adrian T.; Prime, Michael B.; Hill, Michael R.

    2014-12-03

    This paper describes a methodology for the estimation of measurement uncertainty for the contour method, where the contour method is an experimental technique for measuring a two-dimensional map of residual stress over a plane. Random error sources including the error arising from noise in displacement measurements and the smoothing of the displacement surfaces are accounted for in the uncertainty analysis. The output is a two-dimensional, spatially varying uncertainty estimate such that every point on the cross-section where residual stress is determined has a corresponding uncertainty value. Both numerical and physical experiments are reported, which are used to support the usefulness of the proposed uncertainty estimator. The uncertainty estimator shows the contour method to have larger uncertainty near the perimeter of the measurement plane. For the experiments, which were performed on a quenched aluminum bar with a cross section of 51 76 mm, the estimated uncertainty was approximately 5 MPa (?/E = 7 10??) over the majority of the cross-section, with localized areas of higher uncertainty, up to 10 MPa (?/E = 14 10??).

  20. New Methodology for Estimating Fuel Economy by Vehicle Class

    SciTech Connect (OSTI)

    Chin, Shih-Miao; Dabbs, Kathryn; Hwang, Ho-Ling

    2011-01-01

    Office of Highway Policy Information to develop a new methodology to generate annual estimates of average fuel efficiency and number of motor vehicles registered by vehicle class for Table VM-1 of the Highway Statistics annual publication. This paper describes the new methodology developed under this effort and compares the results of the existing manual method and the new systematic approach. The methodology developed under this study takes a two-step approach. First, the preliminary fuel efficiency rates are estimated based on vehicle stock models for different classes of vehicles. Then, a reconciliation model is used to adjust the initial fuel consumption rates from the vehicle stock models and match the VMT information for each vehicle class and the reported total fuel consumption. This reconciliation model utilizes a systematic approach that produces documentable and reproducible results. The basic framework utilizes a mathematical programming formulation to minimize the deviations between the fuel economy estimates published in the previous year s Highway Statistics and the results from the vehicle stock models, subject to the constraint that fuel consumptions for different vehicle classes must sum to the total fuel consumption estimate published in Table MF-21 of the current year Highway Statistics. The results generated from this new approach provide a smoother time series for the fuel economies by vehicle class. It also utilizes the most up-to-date and best available data with sound econometric models to generate MPG estimates by vehicle class.

  1. Surface daytime net radiation estimation using artificial neural networks

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

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

    2014-11-11

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

  2. Estimation of uncertainty for contour method residual stress measurements

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

    Olson, Mitchell D.; DeWald, Adrian T.; Prime, Michael B.; Hill, Michael R.

    2014-12-03

    This paper describes a methodology for the estimation of measurement uncertainty for the contour method, where the contour method is an experimental technique for measuring a two-dimensional map of residual stress over a plane. Random error sources including the error arising from noise in displacement measurements and the smoothing of the displacement surfaces are accounted for in the uncertainty analysis. The output is a two-dimensional, spatially varying uncertainty estimate such that every point on the cross-section where residual stress is determined has a corresponding uncertainty value. Both numerical and physical experiments are reported, which are used to support the usefulnessmore » of the proposed uncertainty estimator. The uncertainty estimator shows the contour method to have larger uncertainty near the perimeter of the measurement plane. For the experiments, which were performed on a quenched aluminum bar with a cross section of 51 × 76 mm, the estimated uncertainty was approximately 5 MPa (σ/E = 7 · 10⁻⁵) over the majority of the cross-section, with localized areas of higher uncertainty, up to 10 MPa (σ/E = 14 · 10⁻⁵).« less

  3. Model Year 2016 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2015-11-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  4. Model Year 2007 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2007-10-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  5. Model Year 2010 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2009-10-14

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  6. Model Year 2009 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2008-10-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  7. Model Year 2005 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2004-11-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  8. Model Year 2008 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2007-10-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  9. Model Year 2006 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2005-11-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  10. Model Year 2015 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2014-12-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

  11. Model Year 2014 Fuel Economy Guide: EPA Fuel Economy Estimates

    SciTech Connect (OSTI)

    2013-12-01

    The Fuel Economy Guide is published by the U.S. Department of Energy as an aid to consumers considering the purchase of a new vehicle. The Guide lists estimates of miles per gallon (mpg) for each vehicle available for the new model year. These estimates are provided by the U.S. Environmental Protection Agency in compliance with Federal Law. By using this Guide, consumers can estimate the average yearly fuel cost for any vehicle. The Guide is intended to help consumers compare the fuel economy of similarly sized cars, light duty trucks and special purpose vehicles. The vehicles listed have been divided into three classes of cars, three classes of light duty trucks, and three classes of special purpose vehicles.

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

    SciTech Connect (OSTI)

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

    1998-01-01

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

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

    SciTech Connect (OSTI)

    none,

    2011-10-01

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

  14. Bayesian Estimator of Protein-Protein Association Probabilities

    Energy Science and Technology Software Center (OSTI)

    2008-05-28

    The Bayesian Estimator of Protein-Protein Association Probabilities (BEPro3) is a software tool for estimating probabilities of protein-protein association between bait and prey protein pairs using data from multiple-bait, multiple-replicate, protein LC-MS/MS affinity isolation experiments. BEPro3 is public domain software, has been tested on Windows XP and version 10.4 or newer of the Mac OS 10.4, and is freely available. A user guide, example dataset with analysis and additional documentation are included with the BEPro3 download.

  15. Synchrophasor Measurement-Based Wind Plant Inertia Estimation: Preprint

    SciTech Connect (OSTI)

    Zhang, Y.; Bank, J.; Wan, Y. H.; Muljadi, E.; Corbus, D.

    2013-05-01

    The total inertia stored in all rotating masses that are connected to power systems, such as synchronous generations and induction motors, is an essential force that keeps the system stable after disturbances. To ensure bulk power system stability, there is a need to estimate the equivalent inertia available from a renewable generation plant. An equivalent inertia constant analogous to that of conventional rotating machines can be used to provide a readily understandable metric. This paper explores a method that utilizes synchrophasor measurements to estimate the equivalent inertia that a wind plant provides to the system.

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

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

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

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

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

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

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

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

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

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

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

    Estimated Production (Billion Cubic Feet) Michigan Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 135 149 134 1980's 160 139 133 125 138 132 128 130 126 129 1990's 120 155 145 141 150 163 208 221 240 234 2000's 333 239 242 220 207 211 197 184 157 153 2010's 154 139 138 133 124 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

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

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

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

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

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

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

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

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

    Feet) Estimated Production (Billion Cubic Feet) North Dakota Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 25 28 30 1980's 37 44 51 58 58 59 55 57 73 55 1990's 58 49 43 52 47 43 45 46 46 39 2000's 42 41 53 50 51 53 52 53 65 82 2010's 94 133 230 302 406 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

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

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

    Estimated Production (Billion Cubic Feet) Ohio Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 60 65 105 1980's 137 85 99 179 169 140 149 117 132 130 1990's 127 132 117 121 119 115 121 105 94 94 2000's 79 84 87 82 82 76 78 71 79 79 2010's 73 76 85 166 477 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

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

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

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

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

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

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

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

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

    Estimated Production (Billion Cubic Feet) Virginia Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 6 4 8 15 15 19 18 18 1990's 7 12 25 36 51 52 55 68 61 66 2000's 71 78 75 82 72 70 102 109 126 178 2010's 172 156 153 142 145 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

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

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

    Feet) Estimated Production (Billion Cubic Feet) West Virginia Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 124 126 116 1980's 151 137 136 126 165 164 153 168 172 160 1990's 169 176 170 169 172 166 177 167 170 173 2000's 176 158 194 189 170 230 187 192 250 278 2010's 293 395 588 728 985 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

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

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

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

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

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

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

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

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

    Estimated Production (Billion Cubic Feet) Kansas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 767 855 738 1980's 636 593 440 370 447 503 461 437 546 549 1990's 523 580 590 657 671 673 702 629 548 486 2000's 491 438 471 426 376 380 350 361 357 334 2010's 305 285 281 283 272 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

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

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

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

  12. $100 billion mistake: is the windfall revenue estimate too high

    SciTech Connect (OSTI)

    Samuelson, R.J.

    1980-04-26

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

  13. A simplified procedure for estimation of mixture permeances from unary

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

    permeation data | Center for Gas SeparationsRelevant to Clean Energy Technologies | Blandine Jerome simplified procedure for estimation of mixture permeances from unary permeation data Previous Next List Rajamani Krishna, Jasper M. van Baten, J. Membr. Sci., 367, 204-210 (2011) DOI: 10.1016/j.memsci.2010.10.055 Abstract: Using the Maxwell-Stefan (M-S) diffusion equations as a basis, we derive simple analytic expression for the estimation of component permeances of mixtures across micro- and

  14. Impedance-estimation methods, modeling methods, articles of manufacture, impedance-modeling devices, and estimated-impedance monitoring systems

    DOE Patents [OSTI]

    Richardson, John G.

    2009-11-17

    An impedance estimation method includes measuring three or more impedances of an object having a periphery using three or more probes coupled to the periphery. The three or more impedance measurements are made at a first frequency. Three or more additional impedance measurements of the object are made using the three or more probes. The three or more additional impedance measurements are made at a second frequency different from the first frequency. An impedance of the object at a point within the periphery is estimated based on the impedance measurements and the additional impedance measurements.

  15. Derived annual estimates of manufacturing energy consumption, 1974--1988

    SciTech Connect (OSTI)

    Not Available

    1992-08-05

    This report presents a complete series of annual estimates of purchased energy used by the manufacturing sector of the US economy, for the years 1974 to 1988. These estimates interpolate over gaps in the actual data collections, by deriving estimates for the missing years 1982--1984 and 1986--1987. For the purposes of this report, ``purchased`` energy is energy brought from offsite for use at manufacturing establishments, whether the energy is purchased from an energy vendor or procured from some other source. The actual data on purchased energy comes from two sources, the US Department of Commerce Bureau of the Census`s Annual Survey of Manufactures (ASM) and EIA`s Manufacturing Energy Consumption Survey (MECS). The ASM provides annual estimates for the years 1974 to 1981. However, in 1982 (and subsequent years) the scope of the ASM energy data was reduced to collect only electricity consumption and expenditures and total expenditures for other purchased energy. In 1985, EIA initiated the triennial MECS collecting complete energy data. The series equivalent to the ASM is referred to in the MECS as ``offsite-produced fuels.``

  16. EIA Completes Corrections to Drilling Activity Estimates Series

    Reports and Publications (EIA)

    1999-01-01

    The Energy Information Administration (EIA) has published monthly and annual estimates of oil and gas drilling activity since 1978. These data are key information for many industry analysts, serving as a leading indicator of trends in the industry and a barometer of general industry status.

  17. EIA Corrects Errors in Its Drilling Activity Estimates Series

    Reports and Publications (EIA)

    1998-01-01

    The Energy Information Administration (EIA) has published monthly and annual estimates of oil and gas drilling activity since 1978. These data are key information for many industry analysts, serving as a leading indicator of trends in the industry and a barometer of general industry status.

  18. Anisotropic parameter estimation using velocity variation with offset analysis

    SciTech Connect (OSTI)

    Herawati, I.; Saladin, M.; Pranowo, W.; Winardhie, S.; Priyono, A.

    2013-09-09

    Seismic anisotropy is defined as velocity dependent upon angle or offset. Knowledge about anisotropy effect on seismic data is important in amplitude analysis, stacking process and time to depth conversion. Due to this anisotropic effect, reflector can not be flattened using single velocity based on hyperbolic moveout equation. Therefore, after normal moveout correction, there will still be residual moveout that relates to velocity information. This research aims to obtain anisotropic parameters, ? and ?, using two proposed methods. The first method is called velocity variation with offset (VVO) which is based on simplification of weak anisotropy equation. In VVO method, velocity at each offset is calculated and plotted to obtain vertical velocity and parameter ?. The second method is inversion method using linear approach where vertical velocity, ?, and ? is estimated simultaneously. Both methods are tested on synthetic models using ray-tracing forward modelling. Results show that ? value can be estimated appropriately using both methods. Meanwhile, inversion based method give better estimation for obtaining ? value. This study shows that estimation on anisotropic parameters rely on the accuracy of normal moveout velocity, residual moveout and offset to angle transformation.

  19. Estimating the potential of greenhouse gas mitigation in Kazakhstan

    SciTech Connect (OSTI)

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

    1996-09-01

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

  20. Parameter Estimation for Single Diode Models of Photovoltaic Modules

    SciTech Connect (OSTI)

    Hansen, Clifford

    2015-03-01

    Many popular models for photovoltaic system performance employ a single diode model to compute the I - V curve for a module or string of modules at given irradiance and temperature conditions. A single diode model requires a number of parameters to be estimated from measured I - V curves. Many available parameter estimation methods use only short circuit, o pen circuit and maximum power points for a single I - V curve at standard test conditions together with temperature coefficients determined separately for individual cells. In contrast, module testing frequently records I - V curves over a wide range of irradi ance and temperature conditions which, when available , should also be used to parameterize the performance model. We present a parameter estimation method that makes use of a fu ll range of available I - V curves. We verify the accuracy of the method by recov ering known parameter values from simulated I - V curves . We validate the method by estimating model parameters for a module using outdoor test data and predicting the outdoor performance of the module.

  1. Possible Methods to Estimate Core Location in a Beyond-Design-Basis Accident at a GE BWR with a Mark I Containment Stucture

    SciTech Connect (OSTI)

    Walston, S; Rowland, M; Campbell, K

    2011-07-27

    It is difficult to track to the location of a melted core in a GE BWR with Mark I containment during a beyond-design-basis accident. The Cooper Nuclear Station provided a baseline of normal material distributions and shielding configurations for the GE BWR with Mark I containment. Starting with source terms for a design-basis accident, methods and remote observation points were investigated to allow tracking of a melted core during a beyond-design-basis accident. The design of the GE BWR with Mark-I containment highlights an amazing poverty of expectations regarding a common mode failure of all reactor core cooling systems resulting in a beyond-design-basis accident from the simple loss of electric power. This design is shown in Figure 1. The station blackout accident scenario has been consistently identified as the leading contributor to calculated probabilities for core damage. While NRC-approved models and calculations provide guidance for indirect methods to assess core damage during a beyond-design-basis loss-of-coolant accident (LOCA), there appears to be no established method to track the location of the core directly should the LOCA include a degree of fuel melt. We came to the conclusion that - starting with detailed calculations which estimate the release and movement of gaseous and soluble fission products from the fuel - selected dose readings in specific rooms of the reactor building should allow the location of the core to be verified.

  2. Surface daytime net radiation estimation using artificial neural networks

    SciTech Connect (OSTI)

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

    2014-11-11

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

  3. Estimating Price Elasticity using Market-Level Appliance Data

    SciTech Connect (OSTI)

    Fujita, K. Sydny

    2015-08-04

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

  4. Estimating externalities of biomass fuel cycles, Report 7

    SciTech Connect (OSTI)

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

    1998-01-01

    This report documents the analysis of the biomass fuel cycle, in which biomass is combusted to produce electricity. The major objectives of this study were: (1) to implement the methodological concepts which were developed in the Background Document (ORNL/RFF 1992) as a means of estimating the external costs and benefits of fuel cycles, and by so doing, to demonstrate their application to the biomass fuel cycle; (2) to develop, given the time and resources, a range of estimates of marginal (i.e., the additional or incremental) damages and benefits associated with selected impact-pathways from a new wood-fired power plant, using a representative benchmark technology, at two reference sites in the US; and (3) to assess the state of the information available to support energy decision making and the estimation of externalities, and by so doing, to assist in identifying gaps in knowledge and in setting future research agendas. The demonstration of methods, modeling procedures, and use of scientific information was the most important objective of this study. It provides an illustrative example for those who will, in the future, undertake studies of actual energy options and sites. As in most studies, a more comprehensive analysis could have been completed had budget constraints not been as severe. Particularly affected were the air and water transport modeling, estimation of ecological impacts, and economic valuation. However, the most important objective of the study was to demonstrate methods, as a detailed example for future studies. Thus, having severe budget constraints was appropriate from the standpoint that these studies could also face similar constraints. Consequently, an important result of this study is an indication of what can be done in such studies, rather than the specific numerical estimates themselves.

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

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

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

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

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

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

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

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

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

  8. NREL-How to Estimate the Economic Impacts from Renewable Energy...

    Open Energy Info (EERE)

    NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar Jump to: navigation, search Tool Summary LAUNCH TOOL Name: How to Estimate the Economic Impacts from...

  9. NREL-How to Estimate the Economic Impacts from Renewable Energy...

    Open Energy Info (EERE)

    NREL-How to Estimate the Economic Impacts from Renewable Energy Webinar (Redirected from How to Estimate the Economic Impacts from Renewable Energy) Jump to: navigation, search...

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

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

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

  11. A New Method and Results of Estimating Areal-Mean Spectral Surface...

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

    layer thickness. Microphysical properties of the water cloud were modeled using Mie theory. The cases are summarized in Table 1. Estimating Areal-Mean Albedo Estimation of...

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

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

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

  13. Developing a Cost Model and Methodology to Estimate Capital Costs for Thermal Energy Storage

    SciTech Connect (OSTI)

    Glatzmaier, G.

    2011-12-01

    This report provides an update on the previous cost model for thermal energy storage (TES) systems. The update allows NREL to estimate the costs of such systems that are compatible with the higher operating temperatures associated with advanced power cycles. The goal of the Department of Energy (DOE) Solar Energy Technology Program is to develop solar technologies that can make a significant contribution to the United States domestic energy supply. The recent DOE SunShot Initiative sets a very aggressive cost goal to reach a Levelized Cost of Energy (LCOE) of 6 cents/kWh by 2020 with no incentives or credits for all solar-to-electricity technologies.1 As this goal is reached, the share of utility power generation that is provided by renewable energy sources is expected to increase dramatically. Because Concentrating Solar Power (CSP) is currently the only renewable technology that is capable of integrating cost-effective energy storage, it is positioned to play a key role in providing renewable, dispatchable power to utilities as the share of power generation from renewable sources increases. Because of this role, future CSP plants will likely have as much as 15 hours of Thermal Energy Storage (TES) included in their design and operation. As such, the cost and performance of the TES system is critical to meeting the SunShot goal for solar technologies. The cost of electricity from a CSP plant depends strongly on its overall efficiency, which is a product of two components - the collection and conversion efficiencies. The collection efficiency determines the portion of incident solar energy that is captured as high-temperature thermal energy. The conversion efficiency determines the portion of thermal energy that is converted to electricity. The operating temperature at which the overall efficiency reaches its maximum depends on many factors, including material properties of the CSP plant components. Increasing the operating temperature of the power generation system leads to higher thermal-to-electric conversion efficiency. However, in a CSP system, higher operating temperature also leads to greater thermal losses. These two effects combine to give an optimal system-level operating temperature that may be less than the upper operating temperature limit of system components. The overall efficiency may be improved by developing materials, power cycles, and system-integration strategies that enable operation at elevated temperature while limiting thermal losses. This is particularly true for the TES system and its components. Meeting the SunShot cost target will require cost and performance improvements in all systems and components within a CSP plant. Solar collector field hardware will need to decrease significantly in cost with no loss in performance and possibly with performance improvements. As higher temperatures are considered for the power block, new working fluids, heat-transfer fluids (HTFs), and storage fluids will all need to be identified to meet these new operating conditions. Figure 1 shows thermodynamic conversion efficiency as a function of temperature for the ideal Carnot cycle and 75% Carnot, which is considered to be the practical efficiency attainable by current power cycles. Current conversion efficiencies for the parabolic trough steam cycle, power tower steam cycle, parabolic dish/Stirling, Ericsson, and air-Brayton/steam Rankine combined cycles are shown at their corresponding operating temperatures. Efficiencies for supercritical steam and carbon dioxide (CO{sub 2}) are also shown for their operating temperature ranges.

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

    SciTech Connect (OSTI)

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

    1994-07-01

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

  15. Estimating the releasable source term for Type B packages

    SciTech Connect (OSTI)

    Anderson, B.L.; Carlson, R.W.; Osgood, N.

    1995-11-01

    The release rate criteria for Type B packages designed to transport radioactive materials is given in Title 10 of the Code of Federal Regulations (10 CFR 71). Before the maximum allowable volumetric leakage rate that corresponds to the regulatory release rate can be calculated, estimation of the releasable source term activity density (concentration of releasable radioactive material) is required. This work provides methods for estimating the releasable source term for packages holding various contents types. The contents types considered include: (1) radioactive liquids; (2) radioactive gases; (3) radioactive powders and dispersible solids; (4) non-dispersible radioactive solids and (5) irradiated nuclear fuel rods. The numbers given, especially as related to the source term for packages transporting irradiated fuel rods, are preliminary and are subject to change upon development of improved methods and/or upon review of additional experimental data.

  16. Structure Learning and Statistical Estimation in Distribution Networks - Part II

    SciTech Connect (OSTI)

    Deka, Deepjyoti; Backhaus, Scott N.; Chertkov, Michael

    2015-02-13

    Limited placement of real-time monitoring devices in the distribution grid, recent trends notwithstanding, has prevented the easy implementation of demand-response and other smart grid applications. Part I of this paper discusses the problem of learning the operational structure of the grid from nodal voltage measurements. In this work (Part II), the learning of the operational radial structure is coupled with the problem of estimating nodal consumption statistics and inferring the line parameters in the grid. Based on a Linear-Coupled(LC) approximation of AC power flows equations, polynomial time algorithms are designed to identify the structure and estimate nodal load characteristics and/or line parameters in the grid using the available nodal voltage measurements. Then the structure learning algorithm is extended to cases with missing data, where available observations are limited to a fraction of the grid nodes. The efficacy of the presented algorithms are demonstrated through simulations on several distribution test cases.

  17. Estimating Externalities of Coal Fuel Cycles, Report 3

    SciTech Connect (OSTI)

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

    1994-09-01

    The agreement between the US DOE and the EC established the specific objectives of the study: (a) to develop a methodological framework that uses existing data and models to quantify the external costs and benefits of energy; (b) to demonstrate the application of the framework to estimate the externalities of the coal, biomass, oil, natural gas, hydro, nuclear, photovoltaic, and wind fuel cycles (by agreement with the EC, the US addressed the first six of these); and (c) to identify major gaps in the availability of information to quantify impacts, damages, benefits, and externalities of fuel cycles; and to suggest priorities for future research. The main consideration in defining these objectives was a desire to have more information about externalities, and a better method for estimating them.

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

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

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

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

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

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

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

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

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

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

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

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

  2. Estimating design costs for first-of-a-kind projects

    SciTech Connect (OSTI)

    Banerjee, Bakul; /Fermilab

    2006-03-01

    Modern scientific facilities are often outcomes of projects that are first-of-a-kind, that is, minimal historical data are available for project costs and schedules. However, at Fermilab, there was an opportunity to execute two similar projects consecutively. In this paper, a comparative study of the design costs for these two projects is presented using earned value methodology. This study provides some insights into how to estimate the cost of a replicated project.

  3. Residential Lighting Usage Estimate Tool, v1.0

    Broader source: Energy.gov [DOE]

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

  4. Correlations estimate volume distilled using gravity, boiling point

    SciTech Connect (OSTI)

    Moreno, A.; Consuelo Perez de Alba, M. del; Manriquez, L.; Guardia Mendoz, P. de la

    1995-10-23

    Mathematical nd graphic correlations have been developed for estimating cumulative volume distilled as a function of crude API gravity and true boiling point (TBP). The correlations can be used for crudes with gravities of 21--34{degree} API and boiling points of 150--540 C. In distillation predictions for several mexican and Iraqi crude oils, the correlations have exhibited accuracy comparable to that of laboratory measurements. The paper discusses the need for such a correlation and the testing of the correlation.

  5. Numerical estimation of the relative entropy of entanglement

    SciTech Connect (OSTI)

    Zinchenko, Yuriy; Friedland, Shmuel; Gour, Gilad

    2010-11-15

    We propose a practical algorithm for the calculation of the relative entropy of entanglement (REE), defined as the minimum relative entropy between a state and the set of states with positive partial transpose. Our algorithm is based on a practical semidefinite cutting plane approach. In low dimensions the implementation of the algorithm in matlab provides an estimation for the REE with an absolute error smaller than 10{sup -3}.

  6. An algorithm to estimate the object support in truncated images

    SciTech Connect (OSTI)

    Hsieh, Scott S.; Nett, Brian E.; Cao, Guangzhi; Pelc, Norbert J.

    2014-07-15

    Purpose: Truncation artifacts in CT occur if the object to be imaged extends past the scanner field of view (SFOV). These artifacts impede diagnosis and could possibly introduce errors in dose plans for radiation therapy. Several approaches exist for correcting truncation artifacts, but existing correction algorithms do not accurately recover the skin line (or support) of the patient, which is important in some dose planning methods. The purpose of this paper was to develop an iterative algorithm that recovers the support of the object. Methods: The authors assume that the truncated portion of the image is made up of soft tissue of uniform CT number and attempt to find a shape consistent with the measured data. Each known measurement in the sinogram is interpreted as an estimate of missing mass along a line. An initial estimate of the object support is generated by thresholding a reconstruction made using a previous truncation artifact correction algorithm (e.g., water cylinder extrapolation). This object support is iteratively deformed to reduce the inconsistency with the measured data. The missing data are estimated using this object support to complete the dataset. The method was tested on simulated and experimentally truncated CT data. Results: The proposed algorithm produces a better defined skin line than water cylinder extrapolation. On the experimental data, the RMS error of the skin line is reduced by about 60%. For moderately truncated images, some soft tissue contrast is retained near the SFOV. As the extent of truncation increases, the soft tissue contrast outside the SFOV becomes unusable although the skin line remains clearly defined, and in reformatted images it varies smoothly from slice to slice as expected. Conclusions: The support recovery algorithm provides a more accurate estimate of the patient outline than thresholded, basic water cylinder extrapolation, and may be preferred in some radiation therapy applications.

  7. NREL Releases Estimate of National Offshore Wind Energy Potential - News

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

    Releases | NREL Releases Estimate of National Offshore Wind Energy Potential September 10, 2010 The U.S. Department of Energy's National Renewable Energy Laboratory (NREL) announces the release of a new report that assesses the electricity generating potential of offshore wind resources in the United States. According to the Assessment of Offshore Wind Energy Resources for the United States, 4,150 gigawatts of potential wind turbine nameplate capacity (maximum turbine capacity) from offshore

  8. NREL Report Estimates Market Potential of Shared Solar and Discusses

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

    Relevant Securities Regulations - News Releases | NREL Report Estimates Market Potential of Shared Solar and Discusses Relevant Securities Regulations April 27, 2015 Analysis from the Energy Department's National Renewable Energy Laboratory (NREL) finds that by making shared solar programs available to households and businesses that currently cannot host on-site photovoltaic (PV) systems shared solar could represent 32 to 49 percent of the distributed photovoltaic market in 2020. Shared

  9. How does LANL estimate the potential dose to the public?

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

    Dose to the public How does LANL estimate the potential dose to the public? LANL calculates doses from two different maximally exposed individuals (MEIs): airborne-pathway and all-pathway. The limit that LANL is allowed to contribute is less than 10 millirem. Comparing Radiation Doses A maximally exposed individual, or MEI, is a hypothetical person located on the border of LANL property. MEI assumes the person eats food grown and drinks water found at the location, and also assumes the

  10. Estimating Failure Propagation in Models of Cascading Blackouts

    SciTech Connect (OSTI)

    Dobson, Ian [University of Wisconsin, Madison; Carreras, Benjamin A [ORNL; Lynch, Vickie E [ORNL; Nkei, Bertrand [ORNL; Newman, David E [University of Alaska

    2005-09-01

    We compare and test statistical estimates of failure propagation in data from versions of a probabilistic model of loading-dependent cascading failure and a power systems blackout model of cascading transmission line overloads. The comparisons suggest mechanisms affecting failure propagation and are an initial step towards monitoring failure propagation from practical system data. Approximations to the probabilistic model describe the forms of probability distributions of cascade sizes.

  11. Structure Learning and Statistical Estimation in Distribution Networks -

    Office of Scientific and Technical Information (OSTI)

    Part I (Technical Report) | SciTech Connect I Citation Details In-Document Search Title: Structure Learning and Statistical Estimation in Distribution Networks - Part I Traditionally power distribution networks are either not observable or only partially observable. This complicates development and implementation of new smart grid technologies, such as those related to demand response, outage detection and management, and improved load-monitoring. In this two part paper, inspired by

  12. Structure Learning and Statistical Estimation in Distribution Networks -

    Office of Scientific and Technical Information (OSTI)

    Part II (Technical Report) | SciTech Connect II Citation Details In-Document Search Title: Structure Learning and Statistical Estimation in Distribution Networks - Part II Limited placement of real-time monitoring devices in the distribution grid, recent trends notwithstanding, has prevented the easy implementation of demand-response and other smart grid applications. Part I of this paper discusses the problem of learning the operational structure of the grid from nodal voltage measurements.

  13. A Sensitivity Analysis of a Thin Film Conductivity Estimation Method

    SciTech Connect (OSTI)

    McMasters, Robert L; Dinwiddie, Ralph Barton

    2010-01-01

    An analysis method was developed for determining the thermal conductivity of a thin film on a substrate of known thermal properties using the flash diffusivity method. In order to determine the thermal conductivity of the film using this method, the volumetric heat capacity of the film must be known, as determined in a separate experiment. Additionally, the thermal properties of the substrate must be known, including conductivity and volumetric heat capacity. The ideal conditions for the experiment are a low conductivity film adhered to a higher conductivity substrate. As the film becomes thinner with respect to the substrate or, as the conductivity of the film approaches that of the substrate, the estimation of thermal conductivity of the film becomes more difficult. The present research examines the effect of inaccuracies in the known parameters on the estimation of the parameter of interest, the thermal conductivity of the film. As such, perturbations are introduced into the other parameters in the experiment, which are assumed to be known, to find the effect on the estimated thermal conductivity of the film. A baseline case is established with the following parameters: Substrate thermal conductivity 1.0 W/m-K Substrate volumetric heat capacity 106 J/m3-K Substrate thickness 0.8 mm Film thickness 0.2 mm Film volumetric heat capacity 106 J/m3-K Film thermal conductivity 0.01 W/m-K Convection coefficient 20 W/m2-K Magnitude of heat absorbed during the flash 1000 J/m2 Each of these parameters, with the exception of film thermal conductivity, the parameter of interest, is varied from its baseline value, in succession, and placed into a synthetic experimental data file. Each of these data files is individually analyzed by the program to determine the effect on the estimated film conductivity, thus quantifying the vulnerability of the method to measurement errors.

  14. Optimizing weak lensing mass estimates for cluster profile uncertainty

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

    Gruen, D.; Bernstein, G. M.; Lam, T. Y.; Seitz, S.

    2011-09-11

    Weak lensing measurements of cluster masses are necessary for calibrating mass-observable relations (MORs) to investigate the growth of structure and the properties of dark energy. However, the measured cluster shear signal varies at fixed mass M200m due to inherent ellipticity of background galaxies, intervening structures along the line of sight, and variations in the cluster structure due to scatter in concentrations, asphericity and substructure. We use N-body simulated halos to derive and evaluate a weak lensing circular aperture mass measurement Map that minimizes the mass estimate variance <(Map - M200m)2> in the presence of all these forms of variability. Dependingmore » on halo mass and observational conditions, the resulting mass estimator improves on Map filters optimized for circular NFW-profile clusters in the presence of uncorrelated large scale structure (LSS) about as much as the latter improve on an estimator that only minimizes the influence of shape noise. Optimizing for uncorrelated LSS while ignoring the variation of internal cluster structure puts too much weight on the profile near the cores of halos, and under some circumstances can even be worse than not accounting for LSS at all. As a result, we discuss the impact of variability in cluster structure and correlated structures on the design and performance of weak lensing surveys intended to calibrate cluster MORs.« less

  15. Structure Learning and Statistical Estimation in Distribution Networks - Part I

    SciTech Connect (OSTI)

    Deka, Deepjyoti; Backhaus, Scott N.; Chertkov, Michael

    2015-02-13

    Traditionally power distribution networks are either not observable or only partially observable. This complicates development and implementation of new smart grid technologies, such as those related to demand response, outage detection and management, and improved load-monitoring. In this two part paper, inspired by proliferation of the metering technology, we discuss estimation problems in structurally loopy but operationally radial distribution grids from measurements, e.g. voltage data, which are either already available or can be made available with a relatively minor investment. In Part I, the objective is to learn the operational layout of the grid. Part II of this paper presents algorithms that estimate load statistics or line parameters in addition to learning the grid structure. Further, Part II discusses the problem of structure estimation for systems with incomplete measurement sets. Our newly suggested algorithms apply to a wide range of realistic scenarios. The algorithms are also computationally efficient – polynomial in time– which is proven theoretically and illustrated computationally on a number of test cases. The technique developed can be applied to detect line failures in real time as well as to understand the scope of possible adversarial attacks on the grid.

  16. Fuel Cycle Services Needs Estimator v.2.0

    Energy Science and Technology Software Center (OSTI)

    2008-03-18

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

  17. Verification of unfold error estimates in the UFO code

    SciTech Connect (OSTI)

    Fehl, D.L.; Biggs, F.

    1996-07-01

    Spectral unfolding is an inverse mathematical operation which attempts to obtain spectral source information from a set of tabulated response functions and data measurements. Several unfold algorithms have appeared over the past 30 years; among them is the UFO (UnFold Operator) code. In addition to an unfolded spectrum, UFO also estimates the unfold uncertainty (error) induced by running the code in a Monte Carlo fashion with prescribed data distributions (Gaussian deviates). In the problem studied, data were simulated from an arbitrarily chosen blackbody spectrum (10 keV) and a set of overlapping response functions. The data were assumed to have an imprecision of 5% (standard deviation). 100 random data sets were generated. The built-in estimate of unfold uncertainty agreed with the Monte Carlo estimate to within the statistical resolution of this relatively small sample size (95% confidence level). A possible 10% bias between the two methods was unresolved. The Monte Carlo technique is also useful in underdetemined problems, for which the error matrix method does not apply. UFO has been applied to the diagnosis of low energy x rays emitted by Z-Pinch and ion-beam driven hohlraums.

  18. Uncertainty Estimation Improves Energy Measurement and Verification Procedures

    SciTech Connect (OSTI)

    Walter, Travis; Price, Phillip N.; Sohn, Michael D.

    2014-05-14

    Implementing energy conservation measures in buildings can reduce energy costs and environmental impacts, but such measures cost money to implement so intelligent investment strategies require the ability to quantify the energy savings by comparing actual energy used to how much energy would have been used in absence of the conservation measures (known as the baseline energy use). Methods exist for predicting baseline energy use, but a limitation of most statistical methods reported in the literature is inadequate quantification of the uncertainty in baseline energy use predictions. However, estimation of uncertainty is essential for weighing the risks of investing in retrofits. Most commercial buildings have, or soon will have, electricity meters capable of providing data at short time intervals. These data provide new opportunities to quantify uncertainty in baseline predictions, and to do so after shorter measurement durations than are traditionally used. In this paper, we show that uncertainty estimation provides greater measurement and verification (M&V) information and helps to overcome some of the difficulties with deciding how much data is needed to develop baseline models and to confirm energy savings. We also show that cross-validation is an effective method for computing uncertainty. In so doing, we extend a simple regression-based method of predicting energy use using short-interval meter data. We demonstrate the methods by predicting energy use in 17 real commercial buildings. We discuss the benefits of uncertainty estimates which can provide actionable decision making information for investing in energy conservation measures.

  19. Estimating the age of alleles by use of intraallelic variability

    SciTech Connect (OSTI)

    Slatkin, M.; Rannala, B.

    1997-02-01

    A method is presented for estimating the age of an allele by use of its frequency and the extent of variation among different copies. The method uses the joint distribution of the number of copies in a population sample and the coalescence times of the intraallelic gene genealogy conditioned on the number of copies. The linear birth-death process is used to approximate the dynamics of a rare allele in a finite population. A maximum-likelihood estimate of the age of the allele is obtained by Monte Carlo integration over the coalescence times. The method is applied to two alleles at the cystic fibrosis (CFTR) locus, {Delta}F508 and G542X, for which intraallelic variability at three intronic microsatellite loci has been examined. Our results indicate that G542X is somewhat older than {Delta}F508. Although absolute estimates depend on the mutation rates at the microsatellite loci, our results support the hypothesis that {Delta}F508 arose <500 generations ({approx}10,000 years) ago. 32 refs., 4 figs.

  20. Decommissioning Cost Estimating Factors And Earned Value Integration

    SciTech Connect (OSTI)

    Sanford, P.C.; Cimmarron, E.

    2008-07-01

    The Rocky Flats 771 Project progressed from the planning stage of decommissioning a plutonium facility, through the strip-out of highly-contaminated equipment, removal of utilities and structural decontamination, and building demolition. Actual cost data was collected from the strip-out activities and compared to original estimates, allowing the development of cost by equipment groupings and types and over time. Separate data was developed from the project control earned value reporting and compared with the equipment data. The paper discusses the analysis to develop the detailed factors for the different equipment types, and the items that need to be considered during characterization of a similar facility when preparing an estimate. The factors are presented based on direct labor requirements by equipment type. The paper also includes actual support costs, and examples of fixed or one-time start-up costs. The integration of the estimate and the earned value system used for the 771 Project is also discussed. The paper covers the development of the earned value system as well as its application to a facility to be decommissioned and an existing work breakdown structure. Lessons learned are provided, including integration with scheduling and craft supervision, measurement approaches, and verification of scope completion. In summary: The work of decommissioning the Rocky Flats 771 Project process equipment was completed in 2003. Early in the planning process, we had difficulty in identifying credible data and implementing processes for estimating and controlling this work. As the project progressed, we were able to collect actual data on the costs of removing plutonium contaminated equipment from various areas over the life of this work and associate those costs with individual pieces of equipment. We also were able to develop and test out a system for measuring the earned value of a decommissioning project based on an evolving estimate. These were elements that would have been useful to us in our early planning process, and we would expect that they would find application elsewhere as the DOE weapons complex and some commercial nuclear facilities move towards closure. (authors)

  1. Handbook for cost estimating. A method for developing estimates of costs for generic actions for nuclear power plants

    SciTech Connect (OSTI)

    Ball, J.R.; Cohen, S.; Ziegler, E.Z.

    1984-10-01

    This document provides overall guidance to assist the NRC in preparing the types of cost estimates required by the Regulatory Analysis Guidelines and to assist in the assignment of priorities in resolving generic safety issues. The Handbook presents an overall cost model that allows the cost analyst to develop a chronological series of activities needed to implement a specific regulatory requirement throughout all applicable commercial LWR power plants and to identify the significant cost elements for each activity. References to available cost data are provided along with rules of thumb and cost factors to assist in evaluating each cost element. A suitable code-of-accounts data base is presented to assist in organizing and aggregating costs. Rudimentary cost analysis methods are described to allow the analyst to produce a constant-dollar, lifetime cost for the requirement. A step-by-step example cost estimate is included to demonstrate the overall use of the Handbook.

  2. Using Utility Load Data to Estimate Demand for Space Cooling and Potential for Shiftable Loads

    SciTech Connect (OSTI)

    Denholm, P.; Ong, S.; Booten, C.

    2012-05-01

    This paper describes a simple method to estimate hourly cooling demand from historical utility load data. It compares total hourly demand to demand on cool days and compares these estimates of total cooling demand to previous regional and national estimates. Load profiles generated from this method may be used to estimate the potential for aggregated demand response or load shifting via cold storage.

  3. Microsoft PowerPoint - 15.1615_Cost Estimating Panel | Department of Energy

    Office of Environmental Management (EM)

    615_Cost Estimating Panel Microsoft PowerPoint - 15.1615_Cost Estimating Panel PDF icon Microsoft PowerPoint - 15.1615_Cost Estimating Panel More Documents & Publications Contractor SOW Template - ICR Slide 1 Independent Cost Review (ICR) and Independent Cost Estimate (ICE) Standard Operating Procedures, Revision 2

  4. 05-20-2010_Final_Testimony_Henry_Kelly.pdf

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

    sitesdefaultfilesadministration- officialvicepresidentmemooncleanenergyeconomy.pdf 3 This figure represents the estimated project value if all the existing...

  5. Tropical Africa: Land use, biomass, and carbon estimates for 1980

    SciTech Connect (OSTI)

    Brown, S.; Gaston, G.; Daniels, R.C.

    1996-06-01

    This document describes the contents of a digital database containing maximum potential aboveground biomass, land use, and estimated biomass and carbon data for 1980 and describes a methodology that may be used to extend this data set to 1990 and beyond based on population and land cover data. The biomass data and carbon estimates are for woody vegetation in Tropical Africa. These data were collected to reduce the uncertainty associated with the possible magnitude of historical releases of carbon from land use change. Tropical Africa is defined here as encompassing 22.7 x 10{sup 6} km{sup 2} of the earth`s land surface and includes those countries that for the most part are located in Tropical Africa. Countries bordering the Mediterranean Sea and in southern Africa (i.e., Egypt, Libya, Tunisia, Algeria, Morocco, South Africa, Lesotho, Swaziland, and Western Sahara) have maximum potential biomass and land cover information but do not have biomass or carbon estimate. The database was developed using the GRID module in the ARC/INFO{sup TM} geographic information system. Source data were obtained from the Food and Agriculture Organization (FAO), the U.S. National Geophysical Data Center, and a limited number of biomass-carbon density case studies. These data were used to derive the maximum potential and actual (ca. 1980) aboveground biomass-carbon values at regional and country levels. The land-use data provided were derived from a vegetation map originally produced for the FAO by the International Institute of Vegetation Mapping, Toulouse, France.

  6. Feedback techniques and SPS Ecloud instabilities - design estimates

    SciTech Connect (OSTI)

    Fox,J.D.; Mastorides, T.; Ndabashimiye, G.; Rivetta, C.; Van Winkle, D.; Byrd, J.; Vay, J-L.; Hofle, W.; Rumolo, G.; de Maria, R.

    2009-05-04

    The SPS at high intensities exhibits transverse single-bunch instabilities with signatures consistent with an Ecloud driven instability. While the SPS has a coupled-bunch transverse feedback system, control of Ecloud driven motion requires a much wider control bandwidth capable of sensing and controlling motion within each bunched beam. This paper draws beam dynamics data from the measurements and simulations of this SPS instability, and estimates system requirements for a feedback system with 2-4 GS/sec. sampling rates to damp Ecloud-driven transverse motion in the SPS at intensities desired for high-current LHC operation.

  7. A Review of Expertise and Judgment Processes for Risk Estimation

    SciTech Connect (OSTI)

    R. L. Boring

    2007-06-01

    A major challenge of risk and reliability analysis for human errors or hardware failures is the need to enlist expert opinion in areas for which adequate operational data are not available. Experts enlisted in this capacity provide probabilistic estimates of reliability, typically comprised of a measure of central tendency and uncertainty bounds. While formal guidelines for expert elicitation are readily available, they largely fail to provide a theoretical basis for expertise and judgment. This paper reviews expertise and judgment in the context of risk analysis; overviews judgment biases, the role of training, and multivariate judgments; and provides guidance on the appropriate use of atomistic and holistic judgment processes.

  8. Calibration and Measurement Uncertainty Estimation of Radiometric Data: Preprint

    SciTech Connect (OSTI)

    Habte, A.; Sengupta, M.; Reda, I.; Andreas, A.; Konings, J.

    2014-11-01

    Evaluating the performance of photovoltaic cells, modules, and arrays that form large solar deployments relies on accurate measurements of the available solar resource. Therefore, determining the accuracy of these solar radiation measurements provides a better understanding of investment risks. This paper provides guidelines and recommended procedures for estimating the uncertainty in calibrations and measurements by radiometers using methods that follow the International Bureau of Weights and Measures Guide to the Expression of Uncertainty (GUM). Standardized analysis based on these procedures ensures that the uncertainty quoted is well documented.

  9. Combined Estimation of Hydrogeologic Conceptual Model and Parameter Uncertainty

    SciTech Connect (OSTI)

    Meyer, Philip D.; Ye, Ming; Neuman, Shlomo P.; Cantrell, Kirk J.

    2004-03-01

    The objective of the research described in this report is the development and application of a methodology for comprehensively assessing the hydrogeologic uncertainties involved in dose assessment, including uncertainties associated with conceptual models, parameters, and scenarios. This report describes and applies a statistical method to quantitatively estimate the combined uncertainty in model predictions arising from conceptual model and parameter uncertainties. The method relies on model averaging to combine the predictions of a set of alternative models. Implementation is driven by the available data. When there is minimal site-specific data the method can be carried out with prior parameter estimates based on generic data and subjective prior model probabilities. For sites with observations of system behavior (and optionally data characterizing model parameters), the method uses model calibration to update the prior parameter estimates and model probabilities based on the correspondence between model predictions and site observations. The set of model alternatives can contain both simplified and complex models, with the requirement that all models be based on the same set of data. The method was applied to the geostatistical modeling of air permeability at a fractured rock site. Seven alternative variogram models of log air permeability were considered to represent data from single-hole pneumatic injection tests in six boreholes at the site. Unbiased maximum likelihood estimates of variogram and drift parameters were obtained for each model. Standard information criteria provided an ambiguous ranking of the models, which would not justify selecting one of them and discarding all others as is commonly done in practice. Instead, some of the models were eliminated based on their negligibly small updated probabilities and the rest were used to project the measured log permeabilities by kriging onto a rock volume containing the six boreholes. These four projections, and associated kriging variances, were averaged using the posterior model probabilities as weights. Finally, cross-validation was conducted by eliminating from consideration all data from one borehole at a time, repeating the above process, and comparing the predictive capability of the model-averaged result with that of each individual model. Using two quantitative measures of comparison, the model-averaged result was superior to any individual geostatistical model of log permeability considered.

  10. Method for estimation of ocean current velocity from satellite images

    SciTech Connect (OSTI)

    Mollo-Christensen, E.; Cornillon, P.; Da S. Mascarenhas, A. Jr.

    1981-05-08

    Barotropic instability waves on a shear interface propagate at the average speed of the water on the two sides. Assuming the instability to be excited by tidal oscillations, the phase speed is the wavelength divided by the tidal period. If the water is at rest on one side of the shear layer the current speed on the other side can be calculated. This method, applied to the Gulf Stream beyond Cape Hatteras as seen in satellite images, gives estimates of current speed in general agreement with in situ observations.

  11. Investigating the validity of the Bosanquet formula for estimation of

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

    diffusivities in mesopores | Center for Gas SeparationsRelevant to Clean Energy Technologies | Blandine Jerome Investigating the validity of the Bosanquet formula for estimation of diffusivities in mesopores Previous Next List Rajamani Krishna, Jasper M. van Baten, Chem. Eng. Sci., 69, 684-688 (2012) DOI: 10.1016/j.ces.2011.11.026 Full-size image (21 K) Abstract: Molecular Dynamics (MD) simulations were performed to determine the self-diffusivity, Di,self, of H2, CO2, Ar, Kr, CH4, C2H6,

  12. Survival Estimates for the Passage of Spring-Migrating Juvenile Salmonids through Snake and Columbia River Dams and Reservoirs, 2004-2005 Annual Report.

    SciTech Connect (OSTI)

    Smith, Steven G.; Muir, William D.; Marsh, Douglas M.

    2005-10-01

    In 2004, the National Marine Fisheries Service and the University of Washington completed the twelfth year of a study to estimate survival and travel time of juvenile salmonids (Oncorhynchus spp.) passing through dams and reservoirs on the Snake and Columbia Rivers. All estimates were derived from detections of fish tagged with passive integrated transponder tags (PIT tags). We PIT tagged and released a total of 19,621 hatchery steelhead, 8,128 wild steelhead, and 9,227 wild yearling Chinook salmon at Lower Granite Dam. In addition, we utilized fish PIT tagged by other agencies at traps and hatcheries upstream from the hydropower system and sites within the hydropower system. PIT-tagged smolts were detected at interrogation facilities at Lower Granite, Little Goose, Lower Monumental, McNary, John Day, and Bonneville Dams and in the PIT-tag detector trawl operated in the Columbia River estuary. Survival estimates were calculated using a statistical model for tag-recapture data from single release groups (the single-release model). Primary research objectives in 2004 were to (1) estimate reach survival and travel time in the Snake and Columbia Rivers throughout the migration period of yearling Chinook salmon O. tshawytscha and steelhead O. mykiss; (2) evaluate relationships between survival estimates and migration conditions; and (3) evaluate the survival-estimation models under prevailing conditions. This report provides reach survival and travel time estimates for 2004 for PIT-tagged yearling Chinook salmon (hatchery and wild), hatchery sockeye salmon O. nerka, hatchery coho salmon O. kisutch, and steelhead (hatchery and wild) in the Snake and Columbia Rivers. Results are reported primarily in the form of tables and figures; details on methodology and statistical models used are provided in previous reports cited here. Survival and detection probabilities were estimated precisely for most of the 2004 yearling Chinook salmon and steelhead migrations. Hatchery and wild fish were combined in some of the analyses. Overall, the percentages for combined release groups used in survival analyses were 68% hatchery-reared yearling Chinook salmon and 32% wild. For steelhead, the overall percentages were 73% hatchery-reared and 27% wild. Estimated survival from the tailrace of Lower Granite Dam to the tailrace of Little Goose Dam averaged 0.923 for yearling Chinook salmon and 0.860 for steelhead. Respective average survival estimates for yearling Chinook salmon and steelhead were 0.875 and 0.820 from Little Goose Dam tailrace to Lower Monumental Dam tailrace; 0.818 and 0.519 from Lower Monumental Dam tailrace to McNary Dam tailrace (including passage through Ice Harbor Dam); and 0.809 and 0.465 from McNary Dam tailrace to John Day Dam tailrace. Survival for yearling Chinook salmon from John Day Dam tailrace to Bonneville Dam tailrace (including passage through The Dalles Dam) was 0.735. We were unable to estimate survival through this reach for steelhead during 2004 because too few fish were detected at Bonneville Dam due to operation of the new corner collector at the second powerhouse. Combining average estimates from the Snake River smolt trap to Lower Granite Dam, from Lower Granite Dam to McNary Dam, and from McNary Dam to Bonneville Dam, estimated annual average survival through the entire hydropower system from the head of Lower Granite reservoir to the tailrace of Bonneville Dam (eight projects) was 0.353 (s.e. 0.045) for Snake River yearling Chinook salmon. We could not empirically estimate survival through the entire system for steelhead in 2004 because of low detection rates for this species at Bonneville Dam. For yearling spring Chinook salmon released in the Upper Columbia River, estimated survival from point of release to McNary Dam tailrace was 0.484 (s.e. 0.005) for fish released from Leavenworth Hatchery, 0.748 (s.e. 0.015) for fish released from Entiat Hatchery, 0.738 (s.e. 0.036) for fish released from Winthrop Hatchery, and 0.702 (s.e. 0.048) and 0.747 (s.e.0.047) for those from Methow Hatchery, Chewuch Pond and

  13. Beam break-up estimates for the ERL at BNL

    SciTech Connect (OSTI)

    Ben-Zvi, I.; Calaga, R.; Hahn, H.; Hammons, L.; Johnson, E.; Kayran, D.; Litvinenko, V.; Kewisch, J.; Xu, W.

    2010-05-23

    A prototype Ampere-class superconducting energy recovery linac (ERL) is under advanced construction at BNL. The ERL facility is comprised of a five-cell SC Linac plus a half-cell SC photo-injector RF electron gun, both operating at 703.75 MHz. The facility is designed for either a high-current mode of operation up to 0.5 A at 703.75 MHz or a high-bunch-charge mode of 5 nC at 10 MHz bunch frequency. The R&D facility serves a test bed for an envisioned electron-hadron collider, eRHIC. The high-current, high-charge operating parameters make effective higher-order-mode (HOM) damping mandatory, and requires the determination of HOM tolerances for a cavity upgrade. The niobium cavity has been tested at superconducting temperatures and has provided measured quality factors (Q) for a large number of modes. These numbers were used for the estimate of the beam breakup instability (BBU). The facility will be assembled with a highly flexible lattice covering a vast operational parameter space for verification of the estimates and to serve as a test bed for the concepts directed at future projects.

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

    SciTech Connect (OSTI)

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

    2014-02-01

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

  15. Estimating and mapping ecological processes influencing microbial community assembly

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

    Stegen, James C.; Lin, Xueju; Fredrickson, Jim K.; Konopka, Allan

    2015-05-01

    Ecological community assembly is governed by a combination of (i) selection resulting from among-taxa differences in performance; (ii) dispersal resulting from organismal movement; and (iii) ecological drift resulting from stochastic changes in population sizes. The relative importance and nature of these processes can vary across environments. Selection can be homogeneous or variable, and while dispersal is a rate, we conceptualize extreme dispersal rates as two categories; dispersal limitation results from limited exchange of organisms among communities, and homogenizing dispersal results from high levels of organism exchange. To estimate the influence and spatial variation of each process we extend a recentlymore » developed statistical framework, use a simulation model to evaluate the accuracy of the extended framework, and use the framework to examine subsurface microbial communities over two geologic formations. For each subsurface community we estimate the degree to which it is influenced by homogeneous selection, variable selection, dispersal limitation, and homogenizing dispersal. Our analyses revealed that the relative influences of these ecological processes vary substantially across communities even within a geologic formation. We further identify environmental and spatial features associated with each ecological process, which allowed mapping of spatial variation in ecological-process-influences. The resulting maps provide a new lens through which ecological systems can be understood; in the subsurface system investigated here they revealed that the influence of variable selection was associated with the rate at which redox conditions change with subsurface depth.« less

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

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

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

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

    SciTech Connect (OSTI)

    Ershaghi, I.; Al-Qahtani, M.

    1997-08-01

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

  18. Estimating and mapping ecological processes influencing microbial community assembly

    SciTech Connect (OSTI)

    Stegen, James C.; Lin, Xueju; Fredrickson, Jim K.; Konopka, Allan

    2015-05-01

    Ecological community assembly is governed by a combination of (i) selection resulting from among-taxa differences in performance; (ii) dispersal resulting from organismal movement; and (iii) ecological drift resulting from stochastic changes in population sizes. The relative importance and nature of these processes can vary across environments. Selection can be homogeneous or variable, and while dispersal is a rate, we conceptualize extreme dispersal rates as two categories; dispersal limitation results from limited exchange of organisms among communities, and homogenizing dispersal results from high levels of organism exchange. To estimate the influence and spatial variation of each process we extend a recently developed statistical framework, use a simulation model to evaluate the accuracy of the extended framework, and use the framework to examine subsurface microbial communities over two geologic formations. For each subsurface community we estimate the degree to which it is influenced by homogeneous selection, variable selection, dispersal limitation, and homogenizing dispersal. Our analyses revealed that the relative influences of these ecological processes vary substantially across communities even within a geologic formation. We further identify environmental and spatial features associated with each ecological process, which allowed mapping of spatial variation in ecological-process-influences. The resulting maps provide a new lens through which ecological systems can be understood; in the subsurface system investigated here they revealed that the influence of variable selection was associated with the rate at which redox conditions change with subsurface depth.

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

    SciTech Connect (OSTI)

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

    2015-08-01

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

  20. Phase estimation with nonunitary interferometers: Information as a metric

    SciTech Connect (OSTI)

    Bahder, Thomas B.

    2011-05-15

    Determining the phase in one arm of a quantum interferometer is discussed taking into account the three nonideal aspects in real experiments: nondeterministic state preparation, nonunitary state evolution due to losses during state propagation, and imperfect state detection. A general expression is written for the probability of a measurement outcome taking into account these three nonideal aspects. As an example of applying the formalism, the classical Fisher information and fidelity (Shannon mutual information between phase and measurements) are computed for few-photon Fock and N00N states input into a lossy Mach-Zehnder interferometer. These three nonideal aspects lead to qualitative differences in phase estimation, such as a decrease in fidelity and Fisher information that depends on the true value of the phase.

  1. Experimental uncertainty estimation and statistics for data having interval uncertainty.

    SciTech Connect (OSTI)

    Kreinovich, Vladik; Oberkampf, William Louis; Ginzburg, Lev; Ferson, Scott; Hajagos, Janos

    2007-05-01

    This report addresses the characterization of measurements that include epistemic uncertainties in the form of intervals. It reviews the application of basic descriptive statistics to data sets which contain intervals rather than exclusively point estimates. It describes algorithms to compute various means, the median and other percentiles, variance, interquartile range, moments, confidence limits, and other important statistics and summarizes the computability of these statistics as a function of sample size and characteristics of the intervals in the data (degree of overlap, size and regularity of widths, etc.). It also reviews the prospects for analyzing such data sets with the methods of inferential statistics such as outlier detection and regressions. The report explores the tradeoff between measurement precision and sample size in statistical results that are sensitive to both. It also argues that an approach based on interval statistics could be a reasonable alternative to current standard methods for evaluating, expressing and propagating measurement uncertainties.

  2. FASTSim: A Model to Estimate Vehicle Efficiency, Cost and Performance

    SciTech Connect (OSTI)

    Brooker, A.; Gonder, J.; Wang, L.; Wood, E.; Lopp, S.; Ramroth, L.

    2015-05-04

    The Future Automotive Systems Technology Simulator (FASTSim) is a high-level advanced vehicle powertrain systems analysis tool supported by the U.S. Department of Energy’s Vehicle Technologies Office. FASTSim provides a quick and simple approach to compare powertrains and estimate the impact of technology improvements on light- and heavy-duty vehicle efficiency, performance, cost, and battery batches of real-world drive cycles. FASTSim’s calculation framework and balance among detail, accuracy, and speed enable it to simulate thousands of driven miles in minutes. The key components and vehicle outputs have been validated by comparing the model outputs to test data for many different vehicles to provide confidence in the results. A graphical user interface makes FASTSim easy and efficient to use. FASTSim is freely available for download from the National Renewable Energy Laboratory’s website (see www.nrel.gov/fastsim).

  3. Method of estimating pulse response using an impedance spectrum

    DOE Patents [OSTI]

    Morrison, John L; Morrison, William H; Christophersen, Jon P; Motloch, Chester G

    2014-10-21

    Electrochemical Impedance Spectrum data are used to predict pulse performance of an energy storage device. The impedance spectrum may be obtained in-situ. A simulation waveform includes a pulse wave with a period greater than or equal to the lowest frequency used in the impedance measurement. Fourier series coefficients of the pulse train can be obtained. The number of harmonic constituents in the Fourier series are selected so as to appropriately resolve the response, but the maximum frequency should be less than or equal to the highest frequency used in the impedance measurement. Using a current pulse as an example, the Fourier coefficients of the pulse are multiplied by the impedance spectrum at corresponding frequencies to obtain Fourier coefficients of the voltage response to the desired pulse. The Fourier coefficients of the response are then summed and reassembled to obtain the overall time domain estimate of the voltage using the Fourier series analysis.

  4. WILDFIRE IGNITION RESISTANCE ESTIMATOR WIZARD SOFTWARE DEVELOPMENT REPORT

    SciTech Connect (OSTI)

    Phillips, M.; Robinson, C.; Gupta, N.; Werth, D.

    2012-10-10

    This report describes the development of a software tool, entitled WildFire Ignition Resistance Estimator Wizard (WildFIRE Wizard, Version 2.10). This software was developed within the Wildfire Ignition Resistant Home Design (WIRHD) program, sponsored by the U. S. Department of Homeland Security, Science and Technology Directorate, Infrastructure Protection & Disaster Management Division. WildFIRE Wizard is a tool that enables homeowners to take preventive actions that will reduce their homes vulnerability to wildfire ignition sources (i.e., embers, radiant heat, and direct flame impingement) well in advance of a wildfire event. This report describes the development of the software, its operation, its technical basis and calculations, and steps taken to verify its performance.

  5. Estimated United States Residential Energy Use in 2005

    SciTech Connect (OSTI)

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

    2011-12-12

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

  6. Develpment of a low Cost Method to Estimate the Seismic Signiture...

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

    Cost Method to Estimate the Seismic Signiture of a Geothemal Field from Ambient Seismic Noise Analysis Develpment of a low Cost Method to Estimate the Seismic Signiture of a...

  7. Estimating the Cost and Energy Efficiency of a Solar Water Heater...

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

    Estimating the Cost and Energy Efficiency of a Solar Water Heater Estimating the Cost and Energy Efficiency of a Solar Water Heater March 2, 2015 - 3:09pm Addthis Solar water...

  8. A Review of Cost Estimation in New Technologies- Implications for Energy Process Plants

    Broader source: Energy.gov [DOE]

    This report reviews literature on cost estimation in several areas involving major capital expenditure programs: energy process plants, major weapons systems acquisition, public works and larger construction projects, and cost estimating techniques and problems for chemical process plants.

  9. Photogrammetry and Laser Imagery Tests for Tank Waste Volume Estimates: Summary Report

    SciTech Connect (OSTI)

    Field, Jim G.

    2013-03-27

    Feasibility tests were conducted using photogrammetry and laser technologies to estimate the volume of waste in a tank. These technologies were compared with video Camera/CAD Modeling System (CCMS) estimates; the current method used for post-retrieval waste volume estimates. This report summarizes test results and presents recommendations for further development and deployment of technologies to provide more accurate and faster waste volume estimates in support of tank retrieval and closure.

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

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

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

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

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

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

  12. DOE Challenge Home Savings and Cost Estimate Summary | Department of Energy

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

    Savings and Cost Estimate Summary DOE Challenge Home Savings and Cost Estimate Summary The U.S. Department of Energy Challenge Home Savings and Cost Estimate Summary, November 2013. PDF icon ch_cost_savings_summary.pdf More Documents & Publications Indoor airPLUS Construction Specifications Indoor airPLUS Construction Specifications Version 1 (Rev. 02) Washington DOE ZERH

  13. Residential Lighting Usage Estimate Tool, v1.0, MacOS version | Department

    Energy Savers [EERE]

    of Energy MacOS version Residential Lighting Usage Estimate Tool, v1.0, MacOS version MacOS version of the Residential Lighting Usage Estimate Tool, v1.0. File Spreadsheet More Documents & Publications Residential Lighting Usage Estimate Tool, v1.0, Windows

  14. Residential Lighting Usage Estimate Tool, v1.0, Windows version |

    Energy Savers [EERE]

    Department of Energy Windows version Residential Lighting Usage Estimate Tool, v1.0, Windows version Windows version of the Residential Lighting Usage Estimate Tool, v1.0. File Spreadsheet More Documents & Publications Residential Lighting Usage Estimate Tool, v1.0, MacOS

  15. Estimated Carbon Dioxide Emissions in 2008: United States

    SciTech Connect (OSTI)

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

    2011-04-01

    Flow charts depicting carbon dioxide emissions in the United States have been constructed from publicly available data and estimates of state-level energy use patterns. Approximately 5,800 million metric tons of carbon dioxide were emitted throughout the United States for use in power production, residential, commercial, industrial, and transportation applications in 2008. Carbon dioxide is emitted from the use of three major energy resources: natural gas, coal, and petroleum. The flow patterns are represented in a compact 'visual atlas' of 52 state-level (all 50 states, the District of Columbia, and one national) carbon dioxide flow charts representing a comprehensive systems view of national CO{sub 2} emissions. Lawrence Livermore National Lab (LLNL) has published flow charts (also referred to as 'Sankey Diagrams') of important national commodities since the early 1970s. The most widely recognized of these charts is the U.S. energy flow chart (http://flowcharts.llnl.gov). LLNL has also published charts depicting carbon (or carbon dioxide potential) flow and water flow at the national level as well as energy, carbon, and water flows at the international, state, municipal, and organizational (i.e. United States Air Force) level. Flow charts are valuable as single-page references that contain quantitative data about resource, commodity, and byproduct flows in a graphical form that also convey structural information about the system that manages those flows. Data on carbon dioxide emissions from the energy sector are reported on a national level. Because carbon dioxide emissions are not reported for individual states, the carbon dioxide emissions are estimated using published energy use information. Data on energy use is compiled by the U.S. Department of Energy's Energy Information Administration (U.S. EIA) in the State Energy Data System (SEDS). SEDS is updated annually and reports data from 2 years prior to the year of the update. SEDS contains data on primary resource consumption, electricity generation, and energy consumption within each economic sector. Flow charts of state-level energy usage and explanations of the calculations and assumptions utilized can be found at: http://flowcharts.llnl.gov. This information is translated into carbon dioxide emissions using ratios of carbon dioxide emissions to energy use calculated from national carbon dioxide emissions and national energy use quantities for each particular sector. These statistics are reported annually in the U.S. EIA's Annual Energy Review. Data for 2008 (US. EIA, 2010) was updated in August of 2010. This is the first presentation of a comprehensive state-level package of flow charts depicting carbon dioxide emissions for the United States.

  16. Evaluation of Black Carbon Estimations in Global Aerosol Models

    SciTech Connect (OSTI)

    Koch, D.; Schulz, M.; Kinne, Stefan; McNaughton, C. S.; Spackman, J. R.; Balkanski, Y.; Bauer, S.; Berntsen, T.; Bond, Tami C.; Boucher, Olivier; Chin, M.; Clarke, A. D.; De Luca, N.; Dentener, F.; Diehl, T.; Dubovik, O.; Easter, Richard C.; Fahey, D. W.; Feichter, J.; Fillmore, D.; Freitag, S.; Ghan, Steven J.; Ginoux, P.; Gong, S.; Horowitz, L.; Iversen, T.; Kirkevag, A.; Klimont, Z.; Kondo, Yutaka; Krol, M.; Liu, Xiaohong; Miller, R.; Montanaro, V.; Moteki, N.; Myhre, G.; Penner, J.; Perlwitz, Ja; Pitari, G.; Reddy, S.; Sahu, L.; Sakamoto, H.; Schuster, G.; Schwarz, J. P.; Seland, O.; Stier, P.; Takegawa, Nobuyuki; Takemura, T.; Textor, C.; van Aardenne, John; Zhao, Y.

    2009-11-27

    We evaluate black carbon (BC) model predictions from the AeroCom model intercomparison project by considering the diversity among year 2000 model simulations and comparing model predictions with available measurements. These model-measurement intercomparisons include BC surface and aircraft concentrations, aerosol absorption optical depth (AAOD) from AERONET and OMI retrievals and BC column estimations based on AERONET. In regions other than Asia, most models are biased high compared to surface concentration measurements. However compared with (column) AAOD or BC burden retreivals, the models are generally biased low. The average ratio of model to retrieved AAOD is less than 0.7 in South American and 0.6 in African biomass burning regions; both of these regions lack surface concentration measurements. In Asia the average model to observed ratio is 0.6 for AAOD and 0.5 for BC surface concentrations. Compared with aircraft measurements over the Americas at latitudes between 0 and 50N, the average model is a factor of 10 larger than observed, and most models exceed the measured BC standard deviation in the mid to upper troposphere. At higher latitudes the average model to aircraft BC is 0.6 and underestimate the observed BC loading in the lower and middle troposphere associated with springtime Arctic haze. Low model bias for AAOD but overestimation of surface and upper atmospheric BC concentrations at lower latitudes suggests that most models are underestimating BC absorption and should improve estimates for refractive index, particle size, and optical effects of BC coating. Retrieval uncertainties and/or differences with model diagnostic treatment may also contribute to the model-measurement disparity. Largest AeroCom model diversity occurred in northern Eurasia and the remote Arctic, regions influenced by anthropogenic sources. Changing emissions, aging, removal, or optical properties within a single model generated a smaller change in model predictions than the range represented by the full set of AeroCom models. Upper tropospheric concentrations of BC mass from the aircraft measurements are suggested to provide a unique new benchmark to test scavenging and vertical dispersion of BC in global models.

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

    SciTech Connect (OSTI)

    McAdams, R.K.

    1988-11-30

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

  18. Estimation of landfill emission lifespan using process oriented modeling

    SciTech Connect (OSTI)

    Ustohalova, Veronika . E-mail: veronika.ustohalova@uni-essen.de; Ricken, Tim; Widmann, Renatus

    2006-07-01

    Depending on the particular pollutants emitted, landfills may require service activities lasting from hundreds to thousands of years. Flexible tools allowing long-term predictions of emissions are of key importance to determine the nature and expected duration of maintenance and post-closure activities. A highly capable option represents predictions based on models and verified by experiments that are fast, flexible and allow for the comparison of various possible operation scenarios in order to find the most appropriate one. The intention of the presented work was to develop a experimentally verified multi-dimensional predictive model capable of quantifying and estimating processes taking place in landfill sites where coupled process description allows precise time and space resolution. This constitutive 2-dimensional model is based on the macromechanical theory of porous media (TPM) for a saturated thermo-elastic porous body. The model was used to simulate simultaneously occurring processes: organic phase transition, gas emissions, heat transport, and settlement behavior on a long time scale for municipal solid waste deposited in a landfill. The relationships between the properties (composition, pore structure) of a landfill and the conversion and multi-phase transport phenomena inside it were experimentally determined. In this paper, we present both the theoretical background of the model and the results of the simulations at one single point as well as in a vertical landfill cross section.

  19. AN ESTIMATE OF THE CHEMICAL COMPOSITION OF TITAN's LAKES

    SciTech Connect (OSTI)

    Cordier, Daniel; Mousis, Olivier; Lunine, Jonathan I.; Lavvas, Panayotis; Vuitton, Veronique

    2009-12-20

    Hundreds of radar-dark patches interpreted as lakes have been discovered in the north and south polar regions of Titan. We have estimated the composition of these lakes by using the direct abundance measurements from the Gas Chromatograph Mass Spectrometer aboard the Huygens probe and recent photochemical models based on the vertical temperature profile derived by the Huygens Atmospheric Structure Instrument. Thermodynamic equilibrium is assumed between the atmosphere and the lakes, which are also considered nonideal solutions. We find that the main constituents of the lakes are ethane (C{sub 2}H{sub 6}) (approx76%-79%), propane (C{sub 3}H{sub 8}) (approx7%-8%), methane (CH{sub 4}) (approx5%-10%), hydrogen cyanide (HCN) (approx2%-3%), butene (C{sub 4}H{sub 8}) (approx1%), butane (C{sub 4}H{sub 10}) (approx1%), and acetylene (C{sub 2}H{sub 2}) (approx1%). The calculated composition of lakes is then substantially different from what has been expected from models elaborated prior to the exploration of Titan by the Cassini-Huygens spacecraft.

  20. Estimating Uranium Partition Coefficients from Laboratory Adsorption Isotherms

    SciTech Connect (OSTI)

    Hull, L.C.; Grossman, C.; Fjeld, R.A.; Coates, J.T.; Elzerman, A.W.

    2002-05-10

    An estimated 330 metric tons of uranium have been buried in the radioactive waste Subsurface Disposal Area (SDA) at the Idaho National Engineering and Environmental Laboratory (INEEL). An assessment of uranium transport parameters is being performed to decrease the uncertainty in risk and dose predictions derived from computer simulations of uranium fate and transport to the underlying Snake River Plain Aquifer. Uranium adsorption isotherms have been measured in the laboratory and fit with a Freundlich isotherm. The Freundlich n parameter was statistically identical for 14 sediment samples. The Freundlich Kf for seven samples, where material properties have been measured, is correlated to sediment surface area. Based on these empirical observations, a model has been derived for adsorption of uranium on INEEL sedimentary materials using surface complexation theory. The model was then used to predict the range of adsorption conditions to be expected at the SDA. Adsorption in the deep vadose zone is predicted to be stronger than in near-surface sediments because the total dissolved carbonate decreases with depth.

  1. Estimating Uranium Partition Coefficients from Laboratory Adsorption Isotherms

    SciTech Connect (OSTI)

    Hull, Laurence Charles; Grossman, Christopher; Fjeld, R. A.; Coates, C.J.; Elzerman, A.

    2002-08-01

    An estimated 330 metric tons of uranium have been buried in the radioactive waste Subsurface Disposal Area (SDA) at the Idaho National Engineering and Environmental Laboratory (INEEL). An assessment of uranium transport parameters is being performed to decrease the uncertainty in risk and dose predictions derived from computer simulations of uranium fate and transport to the underlying Snake River Plain Aquifer. Uranium adsorption isotherms have been measured in the laboratory and fit with a Freundlich isotherm. The Freundlich n parameter was statistically identical for 14 sediment samples. The Freundlich Kf for seven samples, where material properties have been measured, is correlated to sediment surface area. Based on these empirical observations, a model has been derived for adsorption of uranium on INEEL sedimentary materials using surface complexation theory. The model was then used to predict the range of adsorption conditions to be expected at the SDA. Adsorption in the deep vadose zone is predicted to be stronger than in near-surface sediments because the total dissolved carbonate decreases with depth.

  2. Different approaches to estimating transition costs in the electric- utility industry

    SciTech Connect (OSTI)

    Baxter, L.W.

    1995-10-01

    The term ``transition costs`` describes the potential revenue shortfall (or welfare loss) a utility (or other actor) may experience through government-initiated deregulation of electricity generation. The potential for transition costs arises whenever a regulated industry is subject to competitive market forces as a result of explicit government action. Federal and state proposals to deregulate electricity generation sparked a national debate on transition costs in the electric-utility industry. Industry-wide transition cost estimates range from about $20 billion to $500 billion. Such disparate estimates raise important questions on estimation methods for decision makers. This report examines different approaches to estimating transition costs. The study has three objectives. First, we discuss the concept of transition cost. Second, we identify the major cost categories included in transition cost estimates and summarize the current debate on which specific costs are appropriately included in these estimates. Finally, we identify general and specific estimation approaches and assess their strengths and weaknesses. We relied primarily on the evidentiary records established at the Federal Energy Regulatory Commission and the California Public Utilities Commission to identify major cost categories and specific estimation approaches. We also contacted regulatory commission staffs in ten states to ascertain estimation activities in each of these states. We refined a classification framework to describe and assess general estimation options. We subsequently developed and applied criteria to describe and assess specific estimation approaches proposed by federal regulators, state regulators, utilities, independent power companies, and consultants.

  3. Method and system to estimate variables in an integrated gasification combined cycle (IGCC) plant

    DOE Patents [OSTI]

    Kumar, Aditya; Shi, Ruijie; Dokucu, Mustafa

    2013-09-17

    System and method to estimate variables in an integrated gasification combined cycle (IGCC) plant are provided. The system includes a sensor suite to measure respective plant input and output variables. An extended Kalman filter (EKF) receives sensed plant input variables and includes a dynamic model to generate a plurality of plant state estimates and a covariance matrix for the state estimates. A preemptive-constraining processor is configured to preemptively constrain the state estimates and covariance matrix to be free of constraint violations. A measurement-correction processor may be configured to correct constrained state estimates and a constrained covariance matrix based on processing of sensed plant output variables. The measurement-correction processor is coupled to update the dynamic model with corrected state estimates and a corrected covariance matrix. The updated dynamic model may be configured to estimate values for at least one plant variable not originally sensed by the sensor suite.

  4. Ion polarization in the MEIC figure-8 ion collider ring

    SciTech Connect (OSTI)

    V.S. Morozov, Ya.S. Derbenev, Y. Zhang, P. Chevtsov, A.M. Kondratenko, M.A. Kondratenko, Yu.N. Filatov

    2012-07-01

    The nuclear physics program envisaged at the Medium-energy Electron-Ion Collider (MEIC) currently being developed at the Jefferson Lab calls for collisions of 3-11 GeV/c longitudinally polarized electrons and 20-100 GeV/c, in equivalent proton momentum, longitudinally/ transversely polarized protons/ deuterons/ light ions. We present a scheme that provides the required ion polarization arrangement in the MEIC's ion collider ring.

  5. Figure 5. PCs and Terminals per Thousand Employees, 1992 and...

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

    6 File Last Modified: April 20, 1999 Contact: alan.swenson@eia.doe.gov Alan Swenson URL: http:www.eia.govemeuconsumptionconsumption briefsempl9295.htm For help with...

  6. Figure 3. PCs and Terminals per Million Square Feet, 1995

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

    File Last Modified: April 20, 1999 Contact: alan.swenson@eia.doe.gov Alan Swenson URL: consumptioncommercialdataarchivecbecsconsumptionbriefssqft1995.htm For help...

  7. Figure 2. PCs and Terminals per Thousand Employees, 1995

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

    3 File Last Modified: April 20, 1999 Contact: alan.swenson@eia.doe.gov Alan Swenson URL: "consumptioncommercialdataarchivecbecsconsumptionbriefsempl1995.htm" For help...

  8. Figure 5. Production Schedules at Two Development Rates for the...

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

    5. Production Schedules at Two Development Rates for the 5 Percent Probability of Recovering 16.0 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of...

  9. Figure 3. Production Schedules at Two Development Rates

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

    3. Production Schedules at Two Development Rates for the 95 Percent Probability of Recovering 5.7 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of...

  10. revised MS A5-ROR text+figures

    Office of Scientific and Technical Information (OSTI)

    Transcriptional Regulation of Apolipoprotein A5 Gene Expression by the Nuclear Receptor RORα. α. α. α. Annelise Genoux 1 1 1 1 , Hélène Dehondt 1 1 1 1 , Audrey Helleboid-Chapman 1 1 1 1 , Christian Duhem 1 1 1 1 , Dean W. Hum 2 2 2 2 , Geneviève Martin 2 , Len Pennacchio 3 3 3 3 , Bart Staels 1 1 1 1 , Jamila Fruchart- Najib 1 1 1 1 , and Jean-Charles Fruchart 1 1 1 1 From the 1 Département d'Athérosclérose (A.G., H.D., A.H-C., C.D., B.S., J.F-N, J-C.F.), U.545 INSERM, Institut

  11. Finding Six-Figure ROI From Energy Efficiency | Department of...

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

    ROI from Energy Efficiency Out With the Old, In With the New: New Hampshire Town to Upgrade Lighting EECBG Success Story: Hybrid Solar-Wind Generates Savings for South Dakota City...

  12. Figure 2. Stratigraphic Summary of Ages, Names and Rock Types...

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

    2. Stratigraphic Summary of Ages, Names and Rock Types in the ANWR 1002 and Coastal Plain Area of the Alaska North Slope. Potentially Productive Reservoirs and Plays Assessed by ...

  13. Microsoft Word - 1 Cover - No Figure.doc

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

    3 - March 31, 2014 CYCLOTRON INSTITUTE Texas A&M University College Station, Texas PROGRESS IN RESEARCH APRIL 1, 2013- MARCH 31, 2014 Prepared By The Cyclotron Institute Staff Texas A&M University College Station, TX 77843-3366 Phone: (979) 845-1411 Fax: (979) 845-1899 Web: http://cyclotron.tamu.edu June 2014 i TABLE OF CONTENTS Introduction ............................................................................................................................................... xi

  14. Atmospheric Radiation Measurement (ARM) Data Plots and Figures

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

    ARM Program data is available in daily diagnostic plots that can be easily grouped into daily, weekly, monthly, and even yearly increments. By visualizing ARM data in thumbnail-sized data plots, users experience highly-browsable subsets of data available at the Data Archive including complimentary data products derived from data processed by ARM. These thumbnails allow users to quickly scan for a particular type of condition, like a clear day or a day with persistent cirrus. From a diagnostics perspective, the data plots assist in looking for missing data, for data exceeding a particular range, or for loading multiple variables (e.g., shortwave fluxes and precipitation), and to determine whether a certain science or data quality condition is associated with some other parameter (e.g., high wind or rain).[taken from http://www.arm.gov/data/data_plots.stm] Several interfaces and tools have been developed to make data plots easy to generate and manipulate. For example, the NCVWeb is an interactive NetCDF data plotting tool that ARM users can use to plot data as they order it or to plot regular standing data orders. It allows production of detailed tables, extraction of data, statistics output, comparison plotting, etc. without the need for separate visualization software. Users will be requested to create a password, but the data plots are free for viewing and downloading.

  15. Figure 3. Production Schedules at Two Development Rates

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

    3. Production Schedules at Two Development Rates for the 95 Percent Probability of Recovering 5.7 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of Alaska fig3.jpg (32189 bytes)

  16. Figure 8. Technically Recoverable and Commercially Developable Oil

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

    8. Technically Recoverable and Commercially Developable Oil at 95 Percent, Mean, and 5 Percent Probabilities for Given Oil Prices as a Percentage of Technically Recoverable Oil for the ANWR 1002 Area of the Alaska North Slope fig8.jpg (38547 bytes) Source: United States Geological Survey, "Economics of Undiscovered Oil in the 1002 Area of the Arctic National Wildlife Refuge," 1998

  17. Volume_III_App_A_Figures_Chapter4

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

    10 20 30 40 Miles Z O N E A Z O N E B Z O N E C ZONE D Z O N E E ZONE F Z O N E G Z O N E H ZONE I ZONE J ZON E K Z O N E L Oklahoma AC Interconnection Siting Area Future Optima Substation SE 2 S W 1 W 1 NE 2 E 1 NE 1 S W 2 E 2 SE 1 E 3 SE 3 NW 1 NW 2 Oklahoma Converter Station Siting Area REGION 1 APR LINK 3 REGION 1 APR LINK 1 REGION 1 APR LINK 5 REGION 1 APR LINK 4 REGION 1 APR LINK 2 CO LO RA DO KA NS AS CO LO RA DO OK LA HO MA KAN SAS OKL AHO MA OK LAH OM A TEX AS 83 54 287 TEXAS 15 TEXAS

  18. DEPOSITION VELOCITY ESTIMATION WITH THE GENII V2 SOFTWARE

    SciTech Connect (OSTI)

    Hutchins, H.

    2012-04-23

    In 2010, the Department of Energy (DOE) Chief of Nuclear Safety and Office of Health, Safety and Security (HSS), with the support of industry experts in atmospheric sciences and accident dose consequences analysis, performed detailed analyses of the basis for the dry deposition velocity (DV) values used in the MACCS2 computer code. As a result of these analyses, DOE concluded that the historically used default DV values of 1 centimeter/second (cm/s) for unfiltered/unmitigated releases and 0.1 cm/s for filtered/mitigated releases may not be reasonably conservative for all DOE sites and accident scenarios. HSS recently issued Safety Bulletin 2011-02, Accident Analysis Parameter Update, recommending the use of the newly developed default DV, 0.1 cm/s for an unmitigated/unfiltered release. Alternatively site specific DV values can be developed using GENII version 2 (GENII v2) computer code. Key input parameters for calculating DV values include surface roughness, maximum wind speed for calm, particle size, particle density and meteorological data (wind speed and stability class). This paper will include reasonably conservative inputs, and a truncated parametric study. In lieu of the highly-conservative recommended DV value (0.1cm/s) for unmitigated/unfiltered release, GENII v2 has been used to justify estimated 95th percentile DV values. Also presented here are atmospheric dilution factors ({chi}/Q values) calculated with the MACCS2 code using the DV values form GENII v2, {chi}/Q values calculated directly with GENII v2, and a discussion of these results compare with one another. This paper will give an overview of the process of calculating DV with GENII v2 including a discussion of the sensitivity of input parameters.

  19. EXPERIMENTAL METHODS TO ESTIMATE ACCUMULATED SOLIDS IN NUCLEAR WASTE TANKS

    SciTech Connect (OSTI)

    Duignan, M.; Steeper, T.; Steimke, J.

    2012-12-10

    The Department of Energy has a large number of nuclear waste tanks. It is important to know if fissionable materials can concentrate when waste is transferred from staging tanks prior to feeding waste treatment plants. Specifically, there is a concern that large, dense particles, e.g., plutonium containing, could accumulate in poorly mixed regions of a blend tank heel for tanks that employ mixing jet pumps. At the request of the DOE Hanford Tank Operations Contractor, Washington River Protection Solutions, the Engineering Development Laboratory of the Savannah River National Laboratory performed a scouting study in a 1/22-scale model of a waste tank to investigate this concern and to develop measurement techniques that could be applied in a more extensive study at a larger scale. Simulated waste tank solids and supernatant were charged to the test tank and rotating liquid jets were used to remove most of the solids. Then the volume and shape of the residual solids and the spatial concentration profiles for the surrogate for plutonium were measured. This paper discusses the overall test results, which indicated heavy solids only accumulate during the first few transfer cycles, along with the techniques and equipment designed and employed in the test. Those techniques include: Magnetic particle separator to remove stainless steel solids, the plutonium surrogate from a flowing stream; Magnetic wand used to manually remove stainless steel solids from samples and the tank heel; Photographs were used to determine the volume and shape of the solids mounds by developing a composite of topographical areas; Laser rangefinders to determine the volume and shape of the solids mounds; Core sampler to determine the stainless steel solids distribution within the solids mounds; Computer driven positioner that placed the laser rangefinders and the core sampler over solids mounds that accumulated on the bottom of a scaled staging tank in locations where jet velocities were low. These devices and techniques were very effective to estimate the movement, location, and concentrations of the solids representing plutonium and are expected to perform well at a larger scale. The operation of the techniques and their measurement accuracies will be discussed as well as the overall results of the accumulated solids test.

  20. Implementing nonquadratic objective functions for state estimation and bad data rejection

    SciTech Connect (OSTI)

    Baldick, R.; Clements, K.A.; Pinjo-Dzigal, Z.; Davis, P.W.

    1997-02-01

    Using a nonquadratic objective function for network state estimation can combine several estimation and bad data rejection techniques into one algorithm; e.g., the benefits of maximum likelihood least squares estimation can be coupled with the bad data rejection properties of least absolute value estimation. For such estimators, the authors describe an efficient implementation, one that builds naturally on existing least squares software, that is based on an iterative Gauss-Newton solution of the KKT optimality conditions. The authors illustrate the behavior of a quadratic-linear and a quadratic-constant objective function on a set of test networks. The former is closely related to the Huber M-estimator. The latter shows somewhat better bad data rejection properties, perhaps because it arises from a natural model of meter failure.

  1. Estimating the Impact (Energy, Emissions and Economics) of the US Fluid

    Office of Scientific and Technical Information (OSTI)

    Power Industry (Technical Report) | SciTech Connect Technical Report: Estimating the Impact (Energy, Emissions and Economics) of the US Fluid Power Industry Citation Details In-Document Search Title: Estimating the Impact (Energy, Emissions and Economics) of the US Fluid Power Industry The objective of this report is to estimate the impact (energy, emissions and economics) of United Fluid power (hydraulic and pneumatic actuation) is the generation, control, and application of pumped or

  2. A Physically-Based Estimate of Radiative Forcing by Anthropogenic Sulfate

    Office of Scientific and Technical Information (OSTI)

    Aerosol (Journal Article) | SciTech Connect A Physically-Based Estimate of Radiative Forcing by Anthropogenic Sulfate Aerosol Citation Details In-Document Search Title: A Physically-Based Estimate of Radiative Forcing by Anthropogenic Sulfate Aerosol Estimates of direct and indirect radiative forcing by anthropogenic sulfate aerosols from an integrated global aerosol and climate modeling system are presented. A detailed global tropospheric chemistry and aerosol model that predicts

  3. New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants |

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

    Department of Energy Modeling Tool Estimates Economic Benefits of Offshore Wind Plants New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants October 1, 2013 - 3:28pm Addthis To help developers more readily estimate the economic benefits of offshore wind plants, the U.S. Department of Energy (DOE) recently released a new version of the Jobs and Economic Development Impact (JEDI) input-output modeling tool. The original tool was developed by the National Renewable Energy

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

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

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

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

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

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

  6. Guidance on Utility Rate Estimations and Weather Normalization in an ESPC |

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

    Department of Energy Utility Rate Estimations and Weather Normalization in an ESPC Guidance on Utility Rate Estimations and Weather Normalization in an ESPC Document explains how to use estimated energy rates and normalized weather data in determining an energy service company's (ESCO's) payments under a Federal energy savings performance contract (ESPC). PDF icon espc_utility_rates.pdf More Documents & Publications FEMP Comprehensive ESPC Workshop Presentations Practical Guide to

  7. Evaluation of Range Estimates for Toyota FCHV-adv Under Open Road Driving

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

    Conditions | Department of Energy Range Estimates for Toyota FCHV-adv Under Open Road Driving Conditions Evaluation of Range Estimates for Toyota FCHV-adv Under Open Road Driving Conditions An evaluation to independently and objectively verify driving ranges of >400 miles announced by Toyota for its new advanced Fuel Cell Hybrid Vehicle (FCHV-adv) utilizing 70 MPa compressed hydrogen. PDF icon Evaluation of Range Estimates for Toyota FCHV-adv Under Open Road Driving Conditions More

  8. Develpment of a low Cost Method to Estimate the Seismic Signiture of a

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

    Geothemal Field from Ambient Seismic Noise Analysis | Department of Energy Develpment of a low Cost Method to Estimate the Seismic Signiture of a Geothemal Field from Ambient Seismic Noise Analysis Develpment of a low Cost Method to Estimate the Seismic Signiture of a Geothemal Field from Ambient Seismic Noise Analysis Develpment of a low Cost Method to Estimate the Seismic Signiture of a Geothemal Field from Ambient Seismic Noise Analysis presentation at the April 2013 peer review meeting

  9. The Smart Grid: An Estimation of the Energy and Carbon Dioxide...

    Open Energy Info (EERE)

    by which the smart grid can reduce energy use and carbon impacts associated with electricity generation and delivery in the United States. The quantitative estimates of...

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

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

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

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

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

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

  12. Cost and Schedule Estimate and Analysis (FPM 207), Amarillo | Department of

    Energy Savers [EERE]

    Energy Cost and Schedule Estimate and Analysis (FPM 207), Amarillo Cost and Schedule Estimate and Analysis (FPM 207), Amarillo April 4, 2016 8:00AM EDT to April 8, 2016 5:00PM EDT Cost and Schedule Estimation and Analysis Level 2 Required Course 5 days / 40 CLPs This course provides participants with a high-level overview of cost and schedule estimation techniques necessary for successful project management. Participants receive practical skills training on how to develop independent cost

  13. Microsoft Word - NETL-TRS-1-2013_Geologic Storage Estimates for...

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

    estimates by Zhou et al. (2008) for CO 2 storage resource Statistical conclusions stemming from a pair-wise comparison of stochastic inputs using the idk inequality to...

  14. Bad Estimates as a Function of Exceeding the MCNP Random Number Stride

    SciTech Connect (OSTI)

    Booth, Thomas E.

    2014-05-05

    Examples of bad MCNP estimates resulting from exceeding the MCNP random number stride are given for a simple infinite medium problem.

  15. A Survey of State-Level Cost and Benefit Estimates of Renewable Portfolio Standards

    Broader source: Energy.gov [DOE]

    This report surveys and summarizes existing state-level RPS cost and benefit estimates and examines the various methods used to calculate such estimates. The report relies largely upon data or results reported directly by electric utilities and state regulators. As such, the estimated costs and benefits itemized in this document do not result from the application of a standardized approach or the use of a consistent set of underlying assumptions. Because the reported values may differ from those derived through a more consistent analytical treatment, we do not provide an aggregate national estimate of RPS costs and benefits, nor do we attempt to quantify net RPS benefits at national or state levels.

  16. RPS Collaborative Webinar: Using AVERT to Estimate the Emissions Benefits of Clean Energy Policies and Programs

    Broader source: Energy.gov [DOE]

    State policymakers and various stakeholders frequently have need to estimate the emissions impacts of particular renewable energy and energy efficiency policies. However, it can be challenging and...

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

    Reports and Publications (EIA)

    2007-01-01

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

  18. Estimating Residual Solids Volume In Underground Storage Tanks

    SciTech Connect (OSTI)

    Clark, Jason L.; Worthy, S. Jason; Martin, Bruce A.; Tihey, John R.

    2014-01-08

    The Savannah River Site liquid waste system consists of multiple facilities to safely receive and store legacy radioactive waste, treat, and permanently dispose waste. The large underground storage tanks and associated equipment, known as the 'tank farms', include a complex interconnected transfer system which includes underground transfer pipelines and ancillary equipment to direct the flow of waste. The waste in the tanks is present in three forms: supernatant, sludge, and salt. The supernatant is a multi-component aqueous mixture, while sludge is a gel-like substance which consists of insoluble solids and entrapped supernatant. The waste from these tanks is retrieved and treated as sludge or salt. The high level (radioactive) fraction of the waste is vitrified into a glass waste form, while the low-level waste is immobilized in a cementitious grout waste form called saltstone. Once the waste is retrieved and processed, the tanks are closed via removing the bulk of the waste, chemical cleaning, heel removal, stabilizing remaining residuals with tailored grout formulations and severing/sealing external penetrations. The comprehensive liquid waste disposition system, currently managed by Savannah River Remediation, consists of 1) safe storage and retrieval of the waste as it is prepared for permanent disposition; (2) definition of the waste processing techniques utilized to separate the high-level waste fraction/low-level waste fraction; (3) disposition of LLW in saltstone; (4) disposition of the HLW in glass; and (5) closure state of the facilities, including tanks. This paper focuses on determining the effectiveness of waste removal campaigns through monitoring the volume of residual solids in the waste tanks. Volume estimates of the residual solids are performed by creating a map of the residual solids on the waste tank bottom using video and still digital images. The map is then used to calculate the volume of solids remaining in the waste tank. The ability to accurately determine a volume is a function of the quantity and quality of the waste tank images. Currently, mapping is performed remotely with closed circuit video cameras and still photograph cameras due to the hazardous environment. There are two methods that can be used to create a solids volume map. These methods are: liquid transfer mapping / post transfer mapping and final residual solids mapping. The task is performed during a transfer because the liquid level (which is a known value determined by a level measurement device) is used as a landmark to indicate solids accumulation heights. The post transfer method is primarily utilized after the majority of waste has been removed. This method relies on video and still digital images of the waste tank after the liquid transfer is complete to obtain the relative height of solids across a waste tank in relation to known and usable landmarks within the waste tank (cooling coils, column base plates, etc.). In order to accurately monitor solids over time across various cleaning campaigns, and provide a technical basis to support final waste tank closure, a consistent methodology for volume determination has been developed and implemented at SRS.

  19. Integration of remote measurement calibration with state estimation; A feasibility study

    SciTech Connect (OSTI)

    Adibi, M.M. ); Clements, K.A. ); Kafka, R.J. ); Stovall, J.P. )

    1992-08-01

    This paper describes the integration of measurement calibration and state estimation methodologies for increasing the confidence level in the real-time data base. The objectives are to improve performance of state estimators and to reduce the system engineering effort which goes into its installations and the related measurement calibrations.

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

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

    Riihimaki, Laura; Gaustad, Krista; McFarlane, Sally

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