National Library of Energy BETA

Sample records for forecast 2001-2025 tables

  1. Solar Forecasting

    Energy.gov [DOE]

    On December 7, 2012, DOE announced $8 million to fund two solar projects that are helping utilities and grid operators better forecast when, where, and how much solar power will be produced at U.S....

  2. Forecast Change

    Annual Energy Outlook

    Forecast Change 2011 2012 2013 2014 2015 2016 from 2015 United States Usage (kWh) 3,444 3,354 3,129 3,037 3,151 3,302 4.8% Price (centskWh) 12.06 12.09 12.58 13.04 12.95 12.84 ...

  3. Central Wind Forecasting Programs in North America by Regional Transmission Organizations and Electric Utilities: Revised Edition

    SciTech Connect

    Rogers, J.; Porter, K.

    2011-03-01

    The report and accompanying table addresses the implementation of central wind power forecasting by electric utilities and regional transmission organizations in North America. The first part of the table focuses on electric utilities and regional transmission organizations that have central wind power forecasting in place; the second part focuses on electric utilities and regional transmission organizations that plan to adopt central wind power forecasting in 2010. This is an update of the December 2009 report, NREL/SR-550-46763.

  4. Table 4

    Energy Information Administration (EIA) (indexed site)

    112 70 83 98 99 117 150 5.89 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

  5. Table 4

    Energy Information Administration (EIA) (indexed site)

    125 43 101 95 99 130 149 8.25 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

  6. Table 4

    Energy Information Administration (EIA) (indexed site)

    125 69 112 131 137 158 7.36 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

  7. Table 4

    Energy Information Administration (EIA) (indexed site)

    10.8 0.3 0.8 1.6 2.0 2.2 4.0 11.94 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

  8. Table 4

    Energy Information Administration (EIA) (indexed site)

    10.8 0.9 2.9 1.9 2.8 2.3 9.84 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

  9. Table 4

    Energy Information Administration (EIA) (indexed site)

    0.6 0.8 0.6 1.4 2.3 1.9 2.5 12.69 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

  10. A = 5 General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5 General Tables The General Table for 5H is subdivided into the following categories: Cluster Model Hypernuclei Model Calculations Photodisintegration Pions The General Table for...

  11. Table 7

    Energy Information Administration (EIA) (indexed site)

    1 Table 7 Created on: 10/25/2016 10:19:00 AM Table 7. Marketed production of natural gas in selected states and the Federal Gulf of Mexico, 2011-2016 (million cubic feet) Year and Month Alaska Arkansas California Colorado Kansas Louisiana Montana New Mexico North Dakota Ohio 2011 Total 356,225 1,072,212 250,177 1,637,576 309,124 3,029,206 74,624 1,237,303 97,102 78,858 2012 Total 351,259 1,146,168 246,822 1,709,376 296,299 2,955,437 66,954 1,215,773 172,242 84,482 2013 Total 338,182 1,139,654

  12. 8C General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    C General Tables The General Table for 8C is subdivided into the following categories: Reviews Other Theoretical Work

  13. 1999 CBECS Detailed Tables

    Energy Information Administration (EIA) (indexed site)

    Commercial Buildings Energy Consumption Survey (CBECS) > Detailed Tables 1999 CBECS Detailed Tables Building Characteristics | Consumption & Expenditures Data from the 1999...

  14. 6Be General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    6Be General Table The General Table for 6Be is subdivided into the following categories: Cluster Model Model Calculations...

  15. A=18 Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    (1959) Adobe Reader Download Tables from (1995TI07): Introductory Table 3 in PS or PDF. Table 18.1 in PS or PDF. Table 18.2 in PS or PDF. Table 18.3 in PS or PDF. Table 18.4...

  16. A=19 Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    (1959) Adobe Reader Download Tables from (1995TI07): Introductory Table 3 in PS or PDF. Table 19.1 in PS or PDF. Table 19.2 in PS or PDF. Table 19.3 in PS or PDF. Table 19.4...

  17. A=20 Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    (1959) Adobe Reader Download Tables from (1998TI06): Introductory Table 3 in PS or PDF. Table 20.1 in PS or PDF. Table 20.2 in PS or PDF. Table 20.3 in PS or PDF. Table 20.4...

  18. probabilistic energy production forecasts

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    energy production forecasts - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary ...

  19. Wind Power Forecasting Data

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Operations Call 2012 Retrospective Reports 2012 Retrospective Reports 2011 Smart Grid Wind Integration Wind Integration Initiatives Wind Power Forecasting Wind Projects Email...

  20. Solar Forecasting Technical Workshop

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Forecasting Technical Workshop August 3, 2016 901 D St SW, Suite #930, Washington, DC Agenda 8:00-8:30 Check-in 8:30-8:45 Welcome & Opening remarks Guohui Yuan, DOE 8:45-9:15 Overview of Motivation and Techniques for Solar Forecasting Jan Kleissl, UCSD 9:15-9:45 Collaborative Research on Solar Power Forecasting: Challenges, Methods, and Assessment Tara Jensen, NCAR 9:45-10:00 Break 10:00-10:30 Machine-learning Based Enhancements for Renewable Energy Forecasting: From Research to Applications

  1. Wind Power Forecasting

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    data Presentations BPA Super Forecast Methodology Related Links Near Real-time Wind Animation Meteorological Data Customer Supplied Generation Imbalance Dynamic Transfer Limits...

  2. 7He General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    He General Table The General Table for 7He is subdivided into the following categories: Experimental Theoretical Model Calculations Hypernuclei and Mesons Pions

  3. 9He General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    He General Table The General Table for 9He is subdivided into the following categories: Shell Model Other Model Calculations Theoretical

  4. 1995 Detailed Tables

    Energy Information Administration (EIA) (indexed site)

    Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey > Detailed Tables 1995 Detailed Tables Data from the 1995 Commercial Buildings Energy Consumption...

  5. A = 10 General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Table for 10He is subdivided into the following categories: Theoretical Shell Model Cluster Model Other Models Special States Electromagnetic Transitions The General Table for...

  6. 5H General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    H General Table The General Table for 5H is subdivided into the following categories: Cluster Model Hypernuclei Model Calculations Photodisintegration Pions...

  7. 10He General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    General Table The General Table for 10He is subdivided into the following categories: Theoretical Shell Model Cluster Model Other Models Special States Electromagnetic Transitions...

  8. NREL: Transmission Grid Integration - Forecasting

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Forecasting NREL researchers use solar and wind resource assessment and forecasting techniques to develop models that better characterize the potential benefits and impacts of ...

  9. 2016 SSL Forecast Report

    Energy.gov [DOE]

    The DOE report, Energy Savings Forecast of Solid-State Lighting in General Illumination Applications, is a biannual report which models the adoption of LEDs in the U.S. general-lighting market,...

  10. SSL Forecast Report

    Energy.gov [DOE]

    The DOE report, Energy Savings Forecast of Solid-State Lighting in General Illumination Applications, is the latest edition of a biannual report which models the adoption of LEDs in the U.S....

  11. Acquisition Forecast | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Acquisition Forecast Acquisition Forecast Acquisition Forecast It is the policy of the U.S. Department of Energy (DOE) to provide timely information to the public regarding DOE's forecast of future prime contracting opportunities and subcontracting opportunities which are available via the Department's major site and facilities management contractors. This forecast has been expanded to also provide timely status information for ongoing prime contracting actions that are valued in excess of the

  12. CBECS Buildings Characteristics --Revised Tables

    Annual Energy Outlook

    Conservation Tables (16 pages, 86 kb) CONTENTS PAGES Table 41. Energy Conservation Features, Number of Buildings and Floorspace, 1995 Table 42. Building Shell Conservation ...

  13. CBECS Buildings Characteristics --Revised Tables

    Gasoline and Diesel Fuel Update

    Number of Buildings and Floorspace, 1995 Table 26. Water-Heating Energy Sources, Number of Buildings, 1995 Table 27. Water-Heating Energy Sources, Floorspace, 1995 Table 28. ...

  14. 8Be General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Be General Tables The General Table for 8Be is subdivided into the following categories: Reviews Ground State Properties Shell Model Cluster Model Other Models Photodisintegration Fission and Fusion Astrophysical b-decay Hypernuclei

  15. 8He General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    He General Tables The General Table for 8He is subdivided into the following categories: Reviews Ground-state Properties Shell Model Cluster Model Other Theoretical Work Elastic and Inelastic Scattering b-decay

  16. 9B General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    B General Table The General Table for 9B is subdivided into the following categories: Shell Model Cluster Model Theoretical Other Model Calculations Complex Reactions Beta-Decay Pions Light-ion and Neutron Induced Reactions Hypernuclei

  17. 9C General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    C General Table The General Table for 9C is subdivided into the following categories: Shell Model Cluster Model Other Models Theoretical Beta-Decay Light-ion and Neutron Induced Reactions Astrophysical

  18. Tabled Execution in Scheme

    SciTech Connect

    Willcock, J J; Lumsdaine, A; Quinlan, D J

    2008-08-19

    Tabled execution is a generalization of memorization developed by the logic programming community. It not only saves results from tabled predicates, but also stores the set of currently active calls to them; tabled execution can thus provide meaningful semantics for programs that seemingly contain infinite recursions with the same arguments. In logic programming, tabled execution is used for many purposes, both for improving the efficiency of programs, and making tasks simpler and more direct to express than with normal logic programs. However, tabled execution is only infrequently applied in mainstream functional languages such as Scheme. We demonstrate an elegant implementation of tabled execution in Scheme, using a mix of continuation-passing style and mutable data. We also show the use of tabled execution in Scheme for a problem in formal language and automata theory, demonstrating that tabled execution can be a valuable tool for Scheme users.

  19. A = 7 General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    7 General Tables The General Table for 7He is subdivided into the following categories: Experimental Theoretical Model Calculations Hypernuclei and Mesons Pions The General Table for 7Li is subdivided into the following categories: Reviews Ground State Properties Shell Model Cluster Model Other Theoretical Work Model Calculations Photodisintegration Polarization Fission and Fusion Elastic and Inelastic Scattering Projectile Fragmentation and Multifragmentation Astrophysical Hyperfine Structure

  20. Weather-based forecasts of California crop yields

    SciTech Connect

    Lobell, D B; Cahill, K N; Field, C B

    2005-09-26

    Crop yield forecasts provide useful information to a range of users. Yields for several crops in California are currently forecast based on field surveys and farmer interviews, while for many crops official forecasts do not exist. As broad-scale crop yields are largely dependent on weather, measurements from existing meteorological stations have the potential to provide a reliable, timely, and cost-effective means to anticipate crop yields. We developed weather-based models of state-wide yields for 12 major California crops (wine grapes, lettuce, almonds, strawberries, table grapes, hay, oranges, cotton, tomatoes, walnuts, avocados, and pistachios), and tested their accuracy using cross-validation over the 1980-2003 period. Many crops were forecast with high accuracy, as judged by the percent of yield variation explained by the forecast, the number of yields with correctly predicted direction of yield change, or the number of yields with correctly predicted extreme yields. The most successfully modeled crop was almonds, with 81% of yield variance captured by the forecast. Predictions for most crops relied on weather measurements well before harvest time, allowing for lead times that were longer than existing procedures in many cases.

  1. Hot cell examination table

    DOEpatents

    Gaal, Peter S.; Ebejer, Lino P.; Kareis, James H.; Schlegel, Gary L.

    1991-01-01

    A table for use in a hot cell or similar controlled environment for use in examining specimens. The table has a movable table top that can be moved relative to a table frame. A shaft is fixedly mounted to the frame for axial rotation. A shaft traveler having a plurality of tilted rollers biased against the shaft is connected to the table top such that rotation of the shaft causes the shaft traveler to roll along the shaft. An electromagnetic drive is connected to the shaft and the frame for controllably rotating the shaft.

  2. 1997 Housing Characteristics Tables Housing Unit Tables

    Energy Information Administration (EIA) (indexed site)

    ... 1.0 0.2 0.2 0.1 0.3 Q 28.6 Solar ...... Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding ...

  3. 1997 Housing Characteristics Tables Housing Unit Tables

    Energy Information Administration (EIA) (indexed site)

    ... 3.4 4.6 2.9 4.0 4.9 1.8 18.8 Solar ......Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding ...

  4. Environmental regulatory update table

    SciTech Connect

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-10-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  5. 10Li General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Li General Table The General Table for 10Li is subdivided into the following categories: Reviews Theoretical Ground State Properties Shell Model Cluster Model Other Models Special States Astrophysical Electromagnetic Transitions Hypernuclei Photodisintegration Light-Ion and Neutron Induced Reactions These General Tables correspond to the 2003 preliminary evaluation of ``Energy Levels of Light Nuclei, A = 10''. The prepublication version of A = 10 is available on this website in PDF format: A =

  6. Description of Detailed Tables

    Energy Information Administration (EIA) (indexed site)

    for the 1999 Commercial Buildings Energy Consumption Survey (CBECS) consists of building characteristics tables B1 through B39, which contain the number of buildings and...

  7. 1997 MWD comparison tables

    SciTech Connect

    Wiseman, K.

    1997-05-01

    This year`s MWD Comparison Tables include a Quick Reference Guide listing MWD sensors by collar size for each manufacturer. Following the Quick Reference Guide are the comparison tables, which list general, directional, gamma ray, resistivity, density and neutron data for each tool. The MWD Tables should only be used as a reference source. System specifications frequently change as tools are refined and developed. Consult MWD marketing representatives prior to making final tool selections. A contact key for all the companies listed in the tables appears on the last page.

  8. Table of Contents

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    TABLE OF CONTENTS INTRODUCTION J. B. Natowitz, Director SECTION I: NUCLEAR STRUCTURE, FUNDAMENTAL INTERACTIONS AND ASTROPHYSICS SECTION II: HEAVY ION REACTIONS SECTION III: NUCLEAR...

  9. FY 2008 State Table

    Energy.gov [DOE] (indexed site)

    State Table Preliminary Department of Energy FY 2008 Congressional Budget Request February ... FY 2008 Congressional Budget 212007 Department Of Energy (Dollars In Thousands) ...

  10. FY 2006 State Table

    Energy.gov [DOE] (indexed site)

    State Tables Preliminary Department of Energy FY 2006 Congressional Budget Request Office ... FY 2006 Congressional Budget 1272005 Department Of Energy (Dollars In Thousands) ...

  11. FY 2007 State Table

    Energy.gov [DOE] (indexed site)

    state tables preliminary Department of Energy FY 2007 Congressional Budget Request ... FY 2007 Congressional Budget 1312006 Department Of Energy (Dollars In Thousands) ...

  12. FY 2012 State Table

    Energy.gov [DOE] (indexed site)

    Department of Energy FY 2012 Congressional Budget Request State Tables P li i Preliminary February 2012 Office of Chief Financial Officer DOECF-0066 Department of Energy FY 2012 ...

  13. FY 2012 Laboratory Table

    Energy.gov [DOE] (indexed site)

    Department of Energy FY 2012 Congressional Budget Request Laboratory Tables y Preliminary February 2012 Office of Chief Financial Officer DOECF-0065 Department of Energy FY 2012 ...

  14. FY 2011 State Table

    Energy.gov [DOE] (indexed site)

    State Tables Department of Energy FY 2011 Congressional Budget Request DOECF-0054 March ... Department of Energy FY 2011 Congressional Budget Request DOECF-0054 State Index Page ...

  15. A = 9 General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The General Table for 9Li is subdivided into the following categories: Shell Model Cluster Model Theoretical Ground State Properties Special States Other Model Calculations...

  16. 5Li General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Table for 5Li is subdivided into the folowing categories: Ground State Properties Cluster Model Shell Model Special States Model Calculations Model Discussions Complex...

  17. 10N General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    subdivided into the following categories: Reviews Ground-State Properties Shell Model Cluster Model Other Theoretical Work These General Tables correspond to "Energy Levels of...

  18. 5He General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    He General Table The General Table for 5He is subdivided into the following categories: Ground State Properties Theoretical Special States Model Discussions Shell Model Cluster Model Complex Reactions Astrophysics Model Calculations Light-ion and Neutron Induced Reactions Electron Scattering Muon Catalyzed Fusion Other Fusion Photodisintegration Polarization Pions Hypernuclei

  19. 6He General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    He General Table The General Table for 6He is subdivided into the following categories: Ground State Properties Theoretical Special States Shell Model Cluster and alpha-particle Models Other Models Model Calculations Complex Reactions Involving 6He Electromagnetic Transitions Muon and Neutrino Capture and Reactions Reactions Involving pions, Other Mesons and Baryon States Photodisintegration Astrophysics Hypernuclei

  20. 6Li General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Li General Table The General Table for 6Li is subdivided into the following categories: Ground State Properties of 6Li Special States Theoretical Shell Model Cluster Models Complex Reactions Involving 6Li Model Calculations Electromagnetic Transitions Muon and Neutrino Capture and Reactions Reactions Involving Pions, Other Mesons and Baryon States Light-ion and Neutron Induced Reactions Pions Hypernuclei Reactions Involving Antiprotons Astrophysics

  1. 7Be General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Be General Table The General Table for 7Be is subdivided into the following categories: Reviews Experimental Work Shell Model Cluster Model Other Theoretical Work Model Calculations Projectile Fragmentation and Multifragmentation Astrophysical b Decay Astrophysical Neutrinos Hypernuclei, Mesons and Other Exotic Particles Applications

  2. 7Li General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Li General Table The General Table for 7Li is subdivided into the following categories: Reviews Ground State Properties Shell Model Cluster Model Other Theoretical Work Model Calculations Photodisintegration Polarization Fission and Fusion Elastic and Inelastic Scattering Projectile Fragmentation and Multifragmentation Astrophysical Hyperfine Structure b-decay Muons Hypernuclei and Mesons Hypernuclei and Baryons Pion, Kaon and Eta-Mesons Other Work Applications

  3. 8B General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    B General Tables The General Table for 8B is subdivided into the following categories: Reviews Ground State Properties Shell Model Cluster Model Other Models Photodisintegration and Coulomb Dissociation Elastic and Inelastic Scattering Fragmentation Reactions Astrophysical b Decay Nucleon Spatial Distribution

  4. 8Li General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Li General Tables The General Table for 8Li is subdivided into the following categories: Reviews Ground State Properties Shell Model Cluster Model Other Models Photodissociation Fusion and Fission Elastic and Inelastic Scattering Fragmentation Reactions Astrophysical b Decay Hypernuclei Pions, Kaons and h-mesons

  5. 9Li General Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Li General Table The General Table for 9Li is subdivided into the following categories: Shell Model Cluster Model Theoretical Ground State Properties Special States Other Model Calculations Complex Reactions Beta-Decay Pions Muons Photodisintegration Elastic and Inelastic Scattering Electromagnetic Transitions Astrophysical

  6. 1996 MWD comparison tables

    SciTech Connect

    Gastineau, J.

    1996-05-01

    Petroleum Engineer International`s ninth annual Measurement While Drilling Tables compare the different operating capabilities of survey and logging tools from 13 MWD vendors. This year`s MWD Comparison Tables include a Quick Reference Guide listing MWD sensors by collar size for each manufacturer. Following the Quick Reference Guide are the comparison tables, listing general, directional, gamma ray, resistivity, density and neutron data for each tool. The MWD Tables should serve only as a reference source. System specifications can change rapidly as tools are refined and developed. Consultation with MWD marketing representatives before making a final tool selection is recommended. A contact key for all of the companies listed in the tables is provided.

  7. 1995 CECS C&E Tables

    Energy Information Administration (EIA) (indexed site)

    Fuel Oil Tables (10 pages, 58 kb) CONTENTS PAGES Table 26. Total Fuel Oil Consumption and Expenditures, 1995 Table 27. Fuel Oil Consumption and Expenditure Intensities, 1995 Table...

  8. Microsoft Word - 2012 RCRA CRP comment table.docx

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Notice - June 2011 Independent Statistics & Analysis U.S. Energy Information Administration June 2011 Short-Term Energy Outlook Notice: Suspension of Regional Residential Heating Oil and Propane Price Forecasts Because of fiscal year 2011 budget reductions, the U.S. Energy Information Administration (EIA) has suspended surveys that were the source of historical price data published in Tables 12-15 and 34-38 of the Petroleum Marketing Monthly (PMM) that supported the residential retail

  9. Baseline and Target Values for PV Forecasts: Toward Improved...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Baseline and Target Values for PV Forecasts: Toward Improved Solar Power Forecasting ... Baseline and Target Values for PV Forecasts: Toward Improved Solar Power Forecasting Jie ...

  10. All Consumption Tables.vp

    Energy Information Administration (EIA) (indexed site)

    4) June 2007 State Energy Consumption Estimates 1960 Through 2004 2004 Consumption Summary Tables Table S1. Energy Consumption Estimates by Source and End-Use Sector, 2004...

  11. Using Wikipedia to forecast diseases

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Using Wikipedia to forecast diseases Using Wikipedia to forecast diseases Scientists can now monitor and forecast diseases around the globe more effectively by analyzing views of Wikipedia articles. November 13, 2014 Del Valle and her team observe findings from their research on disease patterns from analyzing Wikipedia articles. Del Valle and her team observe findings from their research on disease patterns from analyzing Wikipedia articles. Contact Nancy Ambrosiano Communications Office (505)

  12. Tables of Energy Levels

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Tables of Energy Levels The Image Map below will direct you to the table of energy levels [PDF format only] for that particular nuclide from the most recent publication found within the TUNL and FAS publications of "Energy Levels of Light Nuclei" for A = 4 - 20. If your browser does not support image maps or you would like the choice of PostScript and PDF formats for the tables, please view the list below. Click on the button corresponding to the nucleus for which you would like to

  13. UWIG Forecasting Workshop -- Albany (Presentation)

    SciTech Connect

    Lew, D.

    2011-04-01

    This presentation describes the importance of good forecasting for variable generation, the different approaches used by industry, and the importance of validated high-quality data.

  14. Forecast Energy | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Zip: 94965 Region: Bay Area Sector: Services Product: Intelligent Monitoring and Forecasting Services Year Founded: 2010 Website: www.forecastenergy.net Coordinates:...

  15. The forecast calls for flu

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Science on the Hill: The forecast calls for flu Using mathematics, computer programs, ... We're getting close. Using mathematics, computer programs, statistics and information ...

  16. table11.xls

    Energy Information Administration (EIA) (indexed site)

    ... 14.1 NA 17.9 18.3 19.6 20.1 Table 11. Fuel Economy, Selected Survey Years (Miles Per Gallon) Survey Years Page A-1 of A-5 1983 1985 1988...

  17. TABLE OF CONTENTS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    3, Revision 0 i TABLE OF CONTENTS 1.0 Summary .............................................................................................................................. 1 2.0 Introduction .......................................................................................................................... 1 3.0 Discussion ............................................................................................................................ 4 3.1 Selection of Tanks for Level Decrease

  18. TABLE OF CONTENTS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    4, Revision 0 i TABLE OF CONTENTS 1.0 Summary .............................................................................................................................. 1 2.0 Introduction .......................................................................................................................... 1 3.0 Discussion ............................................................................................................................ 4 3.1 Selection of Tanks for Level Decrease

  19. TABLE OF CONTENTS

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5, Revision 0 i TABLE OF CONTENTS 1.0 Summary .............................................................................................................................. 1 2.0 Introduction .......................................................................................................................... 1 3.0 Discussion ............................................................................................................................ 4 3.1 Selection of Tanks for Level Decrease

  20. Building Materials Property Table

    SciTech Connect

    2010-04-16

    This information sheet describes a table of some of the key technical properties of many of the most common building materials taken from ASHRAE Fundamentals - 2001, Moisture Control in Buildings, CMHC, NRC/IRC, IEA Annex 24, and manufacturer data.

  1. TABLE OF CONTENTS

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    008 High Temperature Superconductivity for Electric Systems Peer Review Final Report i TABLE OF CONTENTS High Temperature Superconductivity for Electric Systems Program Overview ...... 1 The Peer Review................................................................................................................ 3 Review Criteria ................................................................................................................. 5 Guidelines

  2. Table G3

    Energy Information Administration (EIA) (indexed site)

    May 28, 2010 Voluntary Reporting of Greenhouse Gases 14 Table G3. Decision Chart for a ... Form EIA-1605 Voluntary Reporting of Greenhouse Gases Form Approved OMB No. 1905-0194 ...

  3. FY 2013 State Table

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    9 Department of Energy FY 2013 Congressional Budget Request State Tables P li i Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0079 Department of Energy FY 2013 Congressional Budget Request State Tables P li i Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They displayed. The figures include both the discretionary and

  4. Solar Energy Market Forecast | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Market Forecast Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar Energy Market Forecast AgencyCompany Organization: United States Department of Energy Sector:...

  5. Upcoming Funding Opportunity for Wind Forecasting Improvement...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Wind Forecasting Improvement Project in Complex Terrain Upcoming Funding Opportunity for Wind Forecasting Improvement Project in Complex Terrain February 12, 2014 - 10:47am ...

  6. Intermediate future forecasting system

    SciTech Connect

    Gass, S.I.; Murphy, F.H.; Shaw, S.H.

    1983-12-01

    The purposes of the Symposium on the Department of Energy's Intermediate Future Forecasting System (IFFS) were: (1) to present to the energy community details of DOE's new energy market model IFFS; and (2) to have an open forum in which IFFS and its major elements could be reviewed and critiqued by external experts. DOE speakers discussed the total system, its software design, and the modeling aspects of oil and gas supply, refineries, electric utilities, coal, and the energy economy. Invited experts critiqued each of these topics and offered suggestions for modifications and improvement. This volume documents the proceedings (papers and discussion) of the Symposium. Separate abstracts have been prepared for each presentation for inclusion in the Energy Data Base.

  7. Microsoft Word - table_08

    Energy Information Administration (EIA) (indexed site)

    3 Table 8 Created on: 10/25/2016 4:37:01 PM Table 8. Underground natural gas storage - all operators, 2011-2016 (volumes in billion cubic feet) Year and Month Natural Gas in Underground Storage at End of Period Change in Working Gas from Same Period Previous Year Storage Activity Base Gas Working Gas Total a Volume Percent Injections Withdrawals Net Withdrawals b 2011 Total c -- -- -- -- -- 3,422 3,074 -348 2012 Total c -- -- -- -- -- 2,825 2,818 -7 2013 Total c -- -- -- -- -- 3,156 3,702 546

  8. Microsoft Word - table_09

    Energy Information Administration (EIA) (indexed site)

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    Energy Information Administration (EIA) (indexed site)

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    Energy Information Administration (EIA) (indexed site)

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    SciTech Connect

    Lew, D.; Milligan, M.; Jordan, G.; Piwko, R.

    2011-04-01

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    Energy Information Administration (EIA) (indexed site)

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    Forecasting Improvement Project Wind Forecasting Improvement Project October 3, 2011 - 12:12pm Addthis This is an excerpt from the Third Quarter 2011 edition of the Wind Program ...

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    2016 Systems Integration Solar Forecasting: Maximizing its value for grid integration Introduction The forecasting of power generated by variable energy resources such as wind and solar has been the focus of academic and industrial research and development for as long as significant amounts of these renewable energy resources have been connected to the electric grid. The progress of forecasting capabilities has largely followed the penetration of the respective resources, with wind forecasting

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    Forecasting Water Quality & Biodiversity March 25, 2015 Cross-cutting Sustainability Platform Review Principle Investigator: Dr. Henriette I. Jager Organization: Oak Ridge National Laboratory This presentation does not contain any proprietary, confidential, or otherwise restricted information 2015 DOE Bioenergy Technologies Office (BETO) Project Peer Review Goal Statement Addresses the following MYPP BETO goals:  Advance scientific methods and models for measuring and understanding

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    Energy Science and Technology Software Center

    2013-09-16

    The software generates data tables for thermodynamic and transport properties of materials as described by a set of input models. For each input model parameterization, an associated table is created on an unstructured triangular grid. These grids all conform to the same topology. A statistical accuracy guarantee is provided for the tabular representation of the model. Details of the model and table specification are given in a XML input deck.

  8. table3.6_02

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    from Table 24. Refiner acquisition costs -- Energy Information Administration, Form FEA-P110-M-1, "Refiners' Monthly Cost Allocation Report," January 1978 through June 1978;...

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    The Table of Tables' application system captures in a set of SYBASE tables the basic design specification for a database schema. Specification of tables, columns (including the related defaults and rules for the stored values) and keys is provided. The feature which makes this application specifically useful for SYBASE is the ability to automatically generate SYBASE triggers. A description field is provided for each database object. Based on the data stored, SQL scripts for creating complete schema including the tables, their defaults and rules, their indexes, and their SYBASE triggers, are written by TOT. Insert, update and delete triggers are generated from TOT to guarantee integrity of data relations when tables are connected by single column foreign keys. The application is written in SYBASE's APT-SQL and includes a forms based data entry system. Using the features of TOT we can create a complete database schema for which the data integrity specified by our design is guaranteed by the SYBASE triggers generated by TOT. 3 refs.

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  7. Sandia National Labs: PCNSC: IBA Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Departments Radiation, Nano Materials, & Interface Sciences > Radiation & Solid Interactions > Nanomaterials Sciences > Surface & Interface Sciences Semiconductor & Optical Sciences Energy Sciences Small Science Cluster Business Office News Partnering Research Ion Beam Analysis (IBA) Periodic Table (HTML) IBA Table (HTML) | IBA Table (135KB GIF) | IBA Table (1.2MB PDF) | IBA Table (33MB TIF) | Heavy Ion Backscattering Spectrometry (HIBS) | Virtual Lab Tour (6MB) The

  8. Sensing, Measurement, and Forecasting | Grid Modernization | NREL

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Sensing, Measurement, and Forecasting NREL measures weather resources and power systems, forecasts renewable resources and grid conditions, and converts measurements into operational intelligence to support a modern grid. Photo of solar resource monitoring equipment Modernizing the grid involves assessing its health in real time, predicting its behavior and potential disruptions, and quickly responding to events-which requires understanding vital parameters throughout the electric

  9. Study forecasts disappearance of conifers due to climate change

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Study forecasts disappearance of conifers due to climate change Study forecasts disappearance of conifers due to climate change New results, reported in a paper released today in ...

  10. Data Collection and Comparison with Forecasted Unit Sales of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Data Collection and Comparison with Forecasted Unit Sales of Five Lamp Types Data Collection and Comparison with Forecasted Unit Sales of Five Lamp Types PDF icon Data Collection ...

  11. 915 MHz Wind Profiler for Cloud Forecasting at Brookhaven National...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory M Jensen MJ ... Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory M Jensen, ...

  12. Microsoft Word - table_01.doc

    Energy Information Administration (EIA) (indexed site)

    U.S. Energy Information Administration | Natural Gas Monthly 3 Table 1 Table 1. Summary of natural gas supply and disposition in the United States, 2011-2016 (billion cubic feet) Year and Month Gross Withdrawals Marketed Production NGPL Production a Dry Gas Production b Supplemental Gaseous Fuels c Net Imports Net Storage Withdrawals d Balancing Item e Consumption f 2011 Total 28,479 24,036 1,134 22,902 60 1,963 -354 -94 24,477 2012 Total 29,542 25,283 1,250 24,033 61 1,519 -9 -66 25,538 2013

  13. 2011 NISE Awards Summary Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Awards » 2011 NISE Summary Table 2011 NISE Awards Summary Table Investigator NERSC Repo Hours Awarded DOE Office Project Title Dmitri Babikov, Marquette University m409 1,450,000 BES Chemistry New potential energy surface for ozone molecule Connor Balance, Auburn University m41 600,000 Fusion Energy Hybrid OpenMP/MPI approach to R-matrix scattering Amitava Bhattacharjee, University of New Hampshire m148 1,000,000 Fusion Energy Global Effects on the Dynamics of Plasmoids and Flux Ropes during

  14. "RSE Table E7.2. Relative Standard Errors for Table E7.2;...

    Energy Information Administration (EIA) (indexed site)

    ... Error (RSE) percentage is provided" "for each table cell." "Operating ratios were calculated using the estimates of fuel consumption" "reported in Table N3.2." " Source: Energy ...

  15. 1993 Pacific Northwest Loads and Resources Study, Pacific Northwest Economic and Electricity Use Forecast, Technical Appendix: Volume 1.

    SciTech Connect

    United States. Bonneville Power Administration.

    1994-02-01

    This publication documents the load forecast scenarios and assumptions used to prepare BPA`s Whitebook. It is divided into: intoduction, summary of 1993 Whitebook electricity demand forecast, conservation in the load forecast, projection of medium case electricity sales and underlying drivers, residential sector forecast, commercial sector forecast, industrial sector forecast, non-DSI industrial forecast, direct service industry forecast, and irrigation forecast. Four appendices are included: long-term forecasts, LTOUT forecast, rates and fuel price forecasts, and forecast ranges-calculations.

  16. Microsoft Word - table_27.doc

    Energy Information Administration (EIA) (indexed site)

    8 Table 28. Percent distribution of natural gas delivered to consumers by state, 2014 Alabama 0.8 0.8 2.5 0.6 4.2 Alaska 0.3 0.5 0.1 < 0.4 Arizona 0.6 0.9 0.3 5.8 2.5 Arkansas 0.7 ...

  17. Microsoft Word - table_18.doc

    Energy Information Administration (EIA) (indexed site)

    5 Table 18. Natural gas delivered to commercial consumers for the account of others by state, 2010-2014 (volumes in million cubic feet) Alabama 5,494 20.3 5,313 21.1 5,126 23.8 ...

  18. Microsoft Word - table_04.doc

    Energy Information Administration (EIA) (indexed site)

    2 Table 4. Offshore gross withdrawals of natural gas by state and the Gulf of Mexico, 2010-2014 (million cubic feet) 2010 Total 234,236 341,365 575,601 1,701,665 598,679 2,300,344 ...

  19. Microsoft Word - table_23.doc

    Energy Information Administration (EIA) (indexed site)

    6 Table 23. Average citygate price of natural gas in the United States, 2010- 2014 (dollars per thousand cubic feet) Alabama 6.46 5.80 5.18 4.65 4.93 Alaska 6.67 6.53 6.14 6.02 ...

  20. Microsoft Word - table_13.doc

    Energy Information Administration (EIA) (indexed site)

    3 Table 13. Additions to and withdrawals from gas storage by state, 2014 (million cubic feet) Alabama 34,286 28,683 5,603 1,664 1,869 -206 5,397 Alaska 11,675 6,523 5,152 0 0 0 ...

  1. Microsoft Word - table_14.doc

    Energy Information Administration (EIA) (indexed site)

    44 Table 14. Underground natural gas storage capacity by state, December 31, 2014 (million cubic feet) Alabama 1 21,950 30,100 0 0 0 1 11,200 13,500 2 33,150 43,600 Alaska 0 0 0 0 ...

  2. NREL: Resource Assessment and Forecasting - Facilities

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    The Solar Radiation Research Laboratory gathers solar radiation and meteorological data on South Table Mountain. NREL's Solar Radiation Research Laboratory (SRRL) has been ...

  3. Table 2a. Electricity Consumption and Electricity Intensities...

    Energy Information Administration (EIA) (indexed site)

    Administration Home Page Home > Commercial Buildings Home > Sq Ft Tables > Table 2a. Electricity Consumption per Sq Ft Table 2a. Electricity Consumption and Electricity...

  4. FY 2014 Budget Request Statistical Table | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Statistical Table FY 2014 Budget Request Statistical Table PDF icon Stats Table FY2014.pdf More Documents & Publications FY 2009 Environmental Management Budget Request to Congress ...

  5. EIA - Annual Energy Outlook (AEO) 2013 Data Tables

    Annual Energy Outlook

    Analysis & Projections Annual Energy Outlook 2016 Full Release Date: September 15, ... Summary Case Tables Table 1. Total Energy Supply, Disposition, and Price Summary Table 2. ...

  6. Metrics for Evaluating the Accuracy of Solar Power Forecasting (Presentation)

    SciTech Connect

    Zhang, J.; Hodge, B.; Florita, A.; Lu, S.; Hamann, H.; Banunarayanan, V.

    2013-10-01

    This presentation proposes a suite of metrics for evaluating the performance of solar power forecasting.

  7. Distribution of Wind Power Forecasting Errors from Operational Systems (Presentation)

    SciTech Connect

    Hodge, B. M.; Ela, E.; Milligan, M.

    2011-10-01

    This presentation offers new data and statistical analysis of wind power forecasting errors in operational systems.

  8. Offshore Lubricants Market Forecast | OpenEI Community

    OpenEI (Open Energy Information) [EERE & EIA]

    Offshore Lubricants Market Forecast Home There are currently no posts in this category. Syndicate...

  9. Coal Fired Power Generation Market Forecast | OpenEI Community

    OpenEI (Open Energy Information) [EERE & EIA]

    Coal Fired Power Generation Market Forecast Home There are currently no posts in this category. Syndicate...

  10. table3.4_02.xls

    Gasoline and Diesel Fuel Update

    ... Notes: To obtain the RSE percentage for any table cell, multiply the cell's corresponding ... were Table 3.4 Number of Establishments by Fuel Consumption, 2002; Level: National Data; ...

  11. CBECS 1992 - Building Characteristics, Detailed Tables

    Energy Information Administration (EIA) (indexed site)

    major topics of each table. Directions for calculating an approximate relative standard error (RSE) for each estimate in the tables are presented in Figure A1, "Use of RSE Row...

  12. Flood Forecasting in River System Using ANFIS

    SciTech Connect

    Ullah, Nazrin; Choudhury, P.

    2010-10-26

    The aim of the present study is to investigate applicability of artificial intelligence techniques such as ANFIS (Adaptive Neuro-Fuzzy Inference System) in forecasting flood flow in a river system. The proposed technique combines the learning ability of neural network with the transparent linguistic representation of fuzzy system. The technique is applied to forecast discharge at a downstream station using flow information at various upstream stations. A total of three years data has been selected for the implementation of this model. ANFIS models with various input structures and membership functions are constructed, trained and tested to evaluate efficiency of the models. Statistical indices such as Root Mean Square Error (RMSE), Correlation Coefficient (CORR) and Coefficient of Efficiency (CE) are used to evaluate performance of the ANFIS models in forecasting river flood. The values of the indices show that ANFIS model can accurately and reliably be used to forecast flood in a river system.

  13. ARM - CARES - Tracer Forecast for CARES

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    News & Press Backgrounder (PDF, 1.45MB) G-1 Aircraft Fact Sheet (PDF, 1.3MB) Contacts Rahul Zaveri, Lead Scientist Tracer Forecasts for CARES This webpage contains 72-hr...

  14. Text-Alternative Version LED Lighting Forecast

    Energy.gov [DOE]

    The DOE report Energy Savings Forecast of Solid-State Lighting in General Illumination Applications estimates the energy savings of LED white-light sources over the analysis period of 2013 to 2030....

  15. energy data + forecasting | OpenEI Community

    OpenEI (Open Energy Information) [EERE & EIA]

    energy data + forecasting Home FRED Description: Free Energy Database Tool on OpenEI This is an open source platform for assisting energy decision makers and policy makers in...

  16. Code Tables | National Nuclear Security Administration | (NNSA)

    National Nuclear Security Administration (NNSA)

    Code Tables U.S. Department of Energy / U.S. Nuclear Regulatory Commission Nuclear Materials Management & Safeguards System Code Tables Action Code The action code identifies the type of activity being reported in a transaction. The Action Code table shows the valid action codes. Nature of Transaction (TI) Code The financial code signifies the nature of the financial or contractual activity that is involved in the transaction. The Nature of Transaction (TI) Code table shows the valid action

  17. SEP Program Transition Tables | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Transition Tables SEP Program Transition Tables The Program Transition Tables provide information concerning the level of effort required to move from a traditional, industrial incentive program to Strategic Energy Management, ISO 50001, or SEP. Both the customers' and utility program administrators' perspectives are considered. Utilities and PAs can use these detailed tables to understand and develop estimates of scope, resources, and realistic implementation timelines. View Program Transition

  18. Nambe Pueblo Water Budget and Forecasting model.

    SciTech Connect

    Brainard, James Robert

    2009-10-01

    This report documents The Nambe Pueblo Water Budget and Water Forecasting model. The model has been constructed using Powersim Studio (PS), a software package designed to investigate complex systems where flows and accumulations are central to the system. Here PS has been used as a platform for modeling various aspects of Nambe Pueblo's current and future water use. The model contains three major components, the Water Forecast Component, Irrigation Scheduling Component, and the Reservoir Model Component. In each of the components, the user can change variables to investigate the impacts of water management scenarios on future water use. The Water Forecast Component includes forecasting for industrial, commercial, and livestock use. Domestic demand is also forecasted based on user specified current population, population growth rates, and per capita water consumption. Irrigation efficiencies are quantified in the Irrigated Agriculture component using critical information concerning diversion rates, acreages, ditch dimensions and seepage rates. Results from this section are used in the Water Demand Forecast, Irrigation Scheduling, and the Reservoir Model components. The Reservoir Component contains two sections, (1) Storage and Inflow Accumulations by Categories and (2) Release, Diversion and Shortages. Results from both sections are derived from the calibrated Nambe Reservoir model where historic, pre-dam or above dam USGS stream flow data is fed into the model and releases are calculated.

  19. Funding Opportunity Announcement: Solar Forecasting 2 | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Solar Forecasting 2 Funding Opportunity Announcement: Solar Forecasting 2 Subprogram: Systems Integration Funding Number: DE-FOA-0001649 Funding Amount: $10 million Description The Solar Forecasting 2 funding program will support projects that enable grid operators to better forecast how much solar energy will be added to the grid and accelerate the integration of these forecasts into energy management systems used by grid operators and utility companies. These tools will enable grid

  20. 1999 Commercial Building Characteristics--Detailed Tables--Census...

    Energy Information Administration (EIA) (indexed site)

    Census Region > Detailed Tables-Census Region Complete Set of 1999 CBECS Detailed Tables Detailed Tables-Census Region Table B3. Census Region, Number of Buildings and Floorspace...

  1. FY 2014 Budget Request Laboratory Table | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Laboratory Table FY 2014 Budget Request Laboratory Table Lab Table FY2014.pdf (235.54 KB) More Documents & Publications FY 2014 Budget Request State Table Fiscal Year 2013 President's Budget Request Fiscal Year 2013 President's

  2. FY 2014 Budget Request State Table | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    State Table FY 2014 Budget Request State Table State Table FY2014.pdf (279.32 KB) More Documents & Publications FY 2014 Budget Request Laboratory Table FY 2007 Congressional Budget Request FY 2007 Congressional

  3. Microsoft Word - table_15.doc

    Energy Information Administration (EIA) (indexed site)

    0 Table 15. Consumption of natural gas by state, 2011-2015 (million cubic feet) a Lease fuel quantities available directly from state agencies' websites or reports are used. For states where these data are not available, lease fuel quantities were estimated by applying an average of the state's historical ratio of lease fuel to gross withdrawals. See Appendix A for further discussion. b Pipeline and Distribution Use volumes include Line Loss, defined as known volumes of natural gas that were the

  4. SECTION J - TABLE OF CONTENTS

    National Nuclear Security Administration (NNSA)

    Conformed to Mod 0108 DE-NA0000622 Section J Page i PART III - LIST OF DOCUMENTS, EXHIBITS, AND OTHER ATTACHMENTS SECTION J LIST OF APPENDICES TABLE OF CONTENTS Appendix A Statement of Work (Replaced by Mod 002; Modified Mod 016; Replaced Mod 029) Appendix B Performance Evaluation Plan (Replaced by Mods 002, 016, 020, 029, 0084) Appendix C Contractor's Transition Plan Appendix D Sensitive Foreign Nations Control Appendix E Performance Guarantee Agreement(s) Appendix F National Work Breakdown

  5. TableBuster V1.0

    Energy Science and Technology Software Center

    2003-06-06

    Brief Description:TableBuster enables Telelogic DOORS users to export tables with split merged cells from Microsoft Word into DOORS. Practical Application: Users of Telelogic DOORS will be more easily able to track and manage requirements that are initally defined in Microsoft Word tables containing split or merged cells. Method of Solution: TableSplitter contains two procedures. The Setup subroutine unlinks all Word fields in the active Word document. It next counts all the tables in the documentmore » and then calls the SplitCells subroutine. SplitCells splits the appropriate cells for each table, so a n row by m column table actually has n by m cells that DOORS can import.« less

  6. Ramp Forecasting Performance from Improved Short-Term Wind Power Forecasting: Preprint

    SciTech Connect

    Zhang, J.; Florita, A.; Hodge, B. M.; Freedman, J.

    2014-05-01

    The variable and uncertain nature of wind generation presents a new concern to power system operators. One of the biggest concerns associated with integrating a large amount of wind power into the grid is the ability to handle large ramps in wind power output. Large ramps can significantly influence system economics and reliability, on which power system operators place primary emphasis. The Wind Forecasting Improvement Project (WFIP) was performed to improve wind power forecasts and determine the value of these improvements to grid operators. This paper evaluates the performance of improved short-term wind power ramp forecasting. The study is performed for the Electric Reliability Council of Texas (ERCOT) by comparing the experimental WFIP forecast to the current short-term wind power forecast (STWPF). Four types of significant wind power ramps are employed in the study; these are based on the power change magnitude, direction, and duration. The swinging door algorithm is adopted to extract ramp events from actual and forecasted wind power time series. The results show that the experimental short-term wind power forecasts improve the accuracy of the wind power ramp forecasting, especially during the summer.

  7. 1994 Solid waste forecast container volume summary

    SciTech Connect

    Templeton, K.J.; Clary, J.L.

    1994-09-01

    This report describes a 30-year forecast of the solid waste volumes by container type. The volumes described are low-level mixed waste (LLMW) and transuranic/transuranic mixed (TRU/TRUM) waste. These volumes and their associated container types will be generated or received at the US Department of Energy Hanford Site for storage, treatment, and disposal at Westinghouse Hanford Company`s Solid Waste Operations Complex (SWOC) during a 30-year period from FY 1994 through FY 2023. The forecast data for the 30-year period indicates that approximately 307,150 m{sup 3} of LLMW and TRU/TRUM waste will be managed by the SWOC. The main container type for this waste is 55-gallon drums, which will be used to ship 36% of the LLMW and TRU/TRUM waste. The main waste generator forecasting the use of 55-gallon drums is Past Practice Remediation. This waste will be generated by the Environmental Restoration Program during remediation of Hanford`s past practice sites. Although Past Practice Remediation is the primary generator of 55-gallon drums, most waste generators are planning to ship some percentage of their waste in 55-gallon drums. Long-length equipment containers (LECs) are forecasted to contain 32% of the LLMW and TRU/TRUM waste. The main waste generator forecasting the use of LECs is the Long-Length Equipment waste generator, which is responsible for retrieving contaminated long-length equipment from the tank farms. Boxes are forecasted to contain 21% of the waste. These containers are primarily forecasted for use by the Environmental Restoration Operations--D&D of Surplus Facilities waste generator. This waste generator is responsible for the solid waste generated during decontamination and decommissioning (D&D) of the facilities currently on the Surplus Facilities Program Plan. The remaining LLMW and TRU/TRUM waste volume is planned to be shipped in casks and other miscellaneous containers.

  8. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    transitions in A 18-19 nuclei a Nucleus E xi E xf J i J f b Mult. S (MeV) (eV) (W.u.) 18 O c 1.98 0 2 + 0 + (2.35 0.06) 10 -4 E2 3.32 ...

  9. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    - 17 a Nucleus E xi E xf J i (T i ) J f (T f ) (eV) Branching ratio Mult. S (W.u.) (MeV) (%) 16 N b 0.12 0 0 - (1) 2 - (1) (8.7 0.1) 10 -11 100 E2...

  10. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    transitions in A 5 - 10 a Nucleus E xi E xf (MeV) J i J f b (eV) Mult. S (W.u.) 5 He 16.75 0 3 2 + 3 2 - 2.1 0.4 E1 (2.3 0.4) 10 -3 5 Li...

  11. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    transitions in A 11 - 12 a Nucleus E xi E xf J i J f b Mult. S (MeV) (eV) (W.u.) 11 Be 0.32 0 1 2 - 1 2 + (3.97 0.36) 10 -3 E1 0.360...

  12. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    transitions in A 20 nuclei a Nucleus E xi E xf J i J f b Mult. S (MeV) (eV) (W.u.) 20 O c 1.67 0 2 + 0 + (6.28 0.24) 10 -5 E2 1.80 ...

  13. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    transitions in A 5 - 7 Nucleus E xi E xf J i J f a (eV) Mult. S (W.u.) b (MeV) 5 He 16.84 0 3 2 + 3 2 - 2.1 0.4 E1 (2.2 0.4) 10 -3...

  14. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    in A 13 - 15 a Nucleus E xi E xf J i (T i ) J i (T f ) Mult. S (MeV) (eV) (W.u.) 13 C b 3.09 0 1 2 + 1 2 - 0.43 0.04 E1 (3.9 0.4) ...

  15. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    transitions in A 18 - 20 a Nucleus E xi E xf J i J f b Mult. S (MeV) (eV) (W.u.) 18 O c 1.98 0 2 + 0 + (2.35 0.06) 10 -4 E2 3.32 ...

  16. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    electromagnetic transitions in A 11 Nucleus E xi E xf J i J f Mult. W (MeV) (eV) (W.u.) 11 Be 0.32 0 1 2 - 1 2 + (3.97 0.35) 10 -3...

  17. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    from (2012KE01): Energy Levels of 11 Li E x (MeV ± keV) J π ; T T 1 2 or Γ Decay Reactions g.s. 3 2 - ; 5 2 T 1 2 = 8.75 ± 0.14 ms β - 1, 2, 4, 5, 6, 8, 9 1.220 ± 40 Γ = 0.53 ± 0.15 MeV n 2, 6, 7, 9, 10 2.420 ± 50 Γ = 1.26 ± 0.30 MeV n 2, 4, 6, 7, 9, 10 3.700 ± 130 Γ < 200 keV n 7 4.860 ± 60 Γ < 100 keV n 2, 4, 9 6.230 ± 60 Γ < 100 keV n 2, 4, 9 11.300 n 2 1

  18. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    4 from (2012KE01): Energy levels of 11 Be E x (MeV ± keV) J π ; T T 1 2 or Γ c.m. (keV) Decay Reactions 0 1 2 + ; 3 2 T 1 2 = 13.76 ± 0.07 s β - 1, 3, 4, 5, 6, 8, 9, 10, 12, 14, 16, 17, 19, 23, 24, 25, 26, 27, 28, 30, 31, 32 0.32004 ± 0.1 1 2 - T 1 2 = 115 ± 10 fs γ 4, 5, 6, 8, 9, 10, 14, 15, 16, 17, 19, 21, 22, 23, 26, 28, 29, 30, 33 1.783 ± 4 5 2 + Γ = 100 ± 10 n 4, 5, 6, 9, 10, 14, 23, 26, 28 2.654 ± 10 3 2 - a 206 ± 8 n 5, 6, 9, 10, 15, 16, 21, 22, 23, 28, 29 3.40 ± 6 ( 3 2 - ,

  19. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    8 from (2012KE01): Energy levels of 11 B E x J π ; T Γ cm (keV) Decay Reactions (MeV ± keV) 0 3 2 - ; 1 2 stable 2, 3, 7, 8, 11, 15, 16, 17, 18, 19, 22, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 37, 39, 40, 42, 44, 45, 46, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 67, 68, 69, 70, 71, 72, 73, 74 2.124693 ± 0.027 1 2 - 0.117 ± 0.004 eV γ 2, 7, 8, 11, 15, 16, 17, 18, 19, 26, 27, 28, 30, 32, 33, 35, 36, 37, 39, 40, 42, 44, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 63, 67, 68, 69,

  20. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    38 from (2012KE01): Energy levels of 11 C a E x in 11 C J π ; T T 1 2 or Γ cm Decay Reactions (MeV ± keV) 0 3 2 - ; 1 2 T 1 2 = 20.364 ± 0.014 min β + 1, 2, 6, 7, 10, 16, 17, 18, 19, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 35, 37, 38, 39, 40, 41, 43, 44 2.0000 ± 0.4 1 2 - T 1 2 = 7.1 ± 0.5 fs γ 2, 3, 6, 7, 10, 16, 17, 18, 19, 21, 22, 26, 28, 30, 31, 32, 33, 38, 39, 44 4.3188 ± 1.2 5 2 - < 8.3 fs γ 2, 3, 6, 7, 10, 16, 17, 19, 21, 22, 26, 28, 30, 31, 34, 38, 39, 44 4.8042

  1. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5 from (2012KE01): Energy levels of 11 N E res (MeV ± keV) E x (MeV ± keV) J π ; T Γ (keV) Decay Reactions 1.49 ± 60 0 1 2 + ; 3 2 830 ± 30 p 1, 2, 3, 6 2.22 ± 30 0.73 ± 70 1 2 - 600 ± 100 p 1, 2, 3, 5, 6 3.06 ± 80 (1.57 ± 80) < 100 p 3 3.69 ± 30 2.20 ± 70 5 2 + 540 ± 40 p 1, 3, 5, 6 4.35 ± 30 2.86 ± 70 3 2 - 340 ± 40 p 1, 3, 5, 6 5.12 ± 80 (3.63 ± 100) ( 5 2 - ) < 220 p 5 5.91 ± 30 4.42 ± 70 ( 5 2 - ) p 3, 5, 6 6.57 ± 100 5.08 ± 120 ( 3 2 - ) 100 ± 60 p 3, 6 1

  2. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5.4 from (1991AJ01): Energy levels of 15 N a E x J π ; T τ m or Decay Reactions (MeV ± keV) Γ c.m. (keV) 0 1 2 - ; 1 2 - stable 3, 4, 5, 6, 13, 14, 16, 17, 18, 19, 20, 24, 25, 26, 27, 28, 31, 32, 33, 34, 35, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66 5.270155 ± 0.014 b 5 2 + τ m = 2.58 ± 0.14 ps γ 4, 5, 16, 17, 24, 25, 31, 32, 35, 40, 45, 46, 49, 50, 56, 59, 60, 64, 65 g = +(0.94 ± 0.07) 5.298822 ± 0.014 b 1 2 + 25 ±

  3. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    6.13 from (1993TI07): Energy Levels of 16 O a E x (MeV ± keV) J π ; T K π Γ c.m. or τ m (keV) Decay Reactions 0 0 + ; 0 stable 5, 7, 11, 12, 13, 14, 15, 16, 17, 18, 19, 22, 23, 24, 30, 32, 33, 34, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82 6.0494 ± 1.0 0 + ; 0 0 + τ m = 96 ± 7 psec π 5, 7, 11, 12, 13, 15, 17, 19, 21, 23, 30, 32, 33, 34, 38, 39, 43, 44,

  4. Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    1.0 fs 5, 7, 9, 14, 15, 19, 20, 23, 24, 25 5.2409 0.3 5 2 + 3.25 0.30 ps 4, 5, 6, 7, 9, 14, 15, 18, 19, 20, 23, 24, 25, 27 g +0.248 0.026 6.1763 1.7 3 2 -...

  5. Microsoft Word - table_21.doc

    Energy Information Administration (EIA) (indexed site)

    9 Table 21. Number of natural gas commercial consumers by type of service and state, 2014-2015 R Revised data. Note: Totals may not equal sum of components due to independent rounding. Source: Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." Please see the cautionary note regarding the number of residential and commercial customers located on the second page of Appendix A of this report. Alabama R 67,718 129

  6. Table-top job analysis

    SciTech Connect

    Not Available

    1994-12-01

    The purpose of this Handbook is to establish general training program guidelines for training personnel in developing training for operation, maintenance, and technical support personnel at Department of Energy (DOE) nuclear facilities. TTJA is not the only method of job analysis; however, when conducted properly TTJA can be cost effective, efficient, and self-validating, and represents an effective method of defining job requirements. The table-top job analysis is suggested in the DOE Training Accreditation Program manuals as an acceptable alternative to traditional methods of analyzing job requirements. DOE 5480-20A strongly endorses and recommends it as the preferred method for analyzing jobs for positions addressed by the Order.

  7. Baseline and target values for regional and point PV power forecasts: Toward improved solar forecasting

    SciTech Connect

    Zhang, Jie; Hodge, Bri -Mathias; Lu, Siyuan; Hamann, Hendrik F.; Lehman, Brad; Simmons, Joseph; Campos, Edwin; Banunarayanan, Venkat; Black, Jon; Tedesco, John

    2015-11-10

    Accurate solar photovoltaic (PV) power forecasting allows utilities to reliably utilize solar resources on their systems. However, to truly measure the improvements that any new solar forecasting methods provide, it is important to develop a methodology for determining baseline and target values for the accuracy of solar forecasting at different spatial and temporal scales. This paper aims at developing a framework to derive baseline and target values for a suite of generally applicable, value-based, and custom-designed solar forecasting metrics. The work was informed by close collaboration with utility and independent system operator partners. The baseline values are established based on state-of-the-art numerical weather prediction models and persistence models in combination with a radiative transfer model. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of PV power output. The proposed reserve-based methodology is a reasonable and practical approach that can be used to assess the economic benefits gained from improvements in accuracy of solar forecasting. Lastly, the financial baseline and targets can be translated back to forecasting accuracy metrics and requirements, which will guide research on solar forecasting improvements toward the areas that are most beneficial to power systems operations.

  8. Baseline and target values for regional and point PV power forecasts: Toward improved solar forecasting

    DOE PAGES [OSTI]

    Zhang, Jie; Hodge, Bri -Mathias; Lu, Siyuan; Hamann, Hendrik F.; Lehman, Brad; Simmons, Joseph; Campos, Edwin; Banunarayanan, Venkat; Black, Jon; Tedesco, John

    2015-11-10

    Accurate solar photovoltaic (PV) power forecasting allows utilities to reliably utilize solar resources on their systems. However, to truly measure the improvements that any new solar forecasting methods provide, it is important to develop a methodology for determining baseline and target values for the accuracy of solar forecasting at different spatial and temporal scales. This paper aims at developing a framework to derive baseline and target values for a suite of generally applicable, value-based, and custom-designed solar forecasting metrics. The work was informed by close collaboration with utility and independent system operator partners. The baseline values are established based onmore » state-of-the-art numerical weather prediction models and persistence models in combination with a radiative transfer model. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of PV power output. The proposed reserve-based methodology is a reasonable and practical approach that can be used to assess the economic benefits gained from improvements in accuracy of solar forecasting. Lastly, the financial baseline and targets can be translated back to forecasting accuracy metrics and requirements, which will guide research on solar forecasting improvements toward the areas that are most beneficial to power systems operations.« less

  9. ARM - Lesson Plans: Rainfall and Water Table

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Rainfall and Water Table 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: Rainfall and Water Table Objective The objective is to show how an increase of rainfall under climate change can affect the water table and soil salinity underground. Materials Each student or group of

  10. Environmental Regulatory Update Table, July 1990

    SciTech Connect

    Houlberg, L.M.; Nikbakht, A.; Salk, M.S.

    1990-08-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  11. Environmental Regulatory Update Table, November 1991

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-12-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  12. Environmental Regulatory Update Table, October 1991

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-11-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  13. Environmental regulatory update table, January 1988

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-02-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  14. Environmental Regulatory Update Table, January 1991

    SciTech Connect

    Hawkins, G.T.; Houlberg, L.M.; Salk, M.S.

    1991-02-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  15. Environmental regulatory update table, July 1991

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-08-01

    This Environmental Regulatory Update Table (July 1991) provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  16. Environmental Regulatory Update Table, June 1991

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-07-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  17. Environmental Sciences Division environmental regulatory update table

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-03-01

    The Environmental Regulatory Update Table provides information on regulatory initiative so interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  18. Environmental Regulatory Update Table, October 1990

    SciTech Connect

    Houlberg, L.M.; Noghrei-Nikbakht, P.A.; Salk, M.S.

    1990-11-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  19. Environmental Regulatory Update Table, December 1991

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1992-01-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  20. Environmental Regulatory Update Table, November 1990

    SciTech Connect

    Hawkins, G.T.; Houlberg, L.M.; Noghrei-Nikbakht, P.A.; Salk, M.S.

    1990-12-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  1. Environmental regulatory update table, February 1988

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-02-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for taht initiative with an abstract and a projection of further action.

  2. Environmental regulatory update table, February 1990

    SciTech Connect

    Houlberg, L.M.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1990-03-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to Department of Energy (DOE) operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  3. Environmental Regulatory Update Table, May 1991

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-06-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  4. Environmental Regulatory Update Table, December 1990

    SciTech Connect

    Hawkins, G.T.; Houlberg, L.M.; Noghrei-Nikbakht, P.A.; Salk, M.S.

    1991-01-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  5. Environmental regulatory update table, June 1988

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-07-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  6. Environmental regulatory update table, January 1990

    SciTech Connect

    Houlberg, L.M.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1990-02-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  7. Environmental Regulatory Update Table, March 1991

    SciTech Connect

    Hawkins, G.T.; Houlberg, L.M.; Salk, M.S.

    1991-04-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  8. Environmental regulatory update table, December 1987

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-01-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  9. Environmental Regulatory Update Table, December 1988

    SciTech Connect

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1989-01-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  10. Environmental Regulatory Update Table, February 1991

    SciTech Connect

    Hawkins, G.T.; Houlberg, L.M.; Salk, M.S.

    1991-03-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  11. Environmental Regulatory Update Table, September 1991

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-10-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  12. Environmental regulatory update table, September 1988

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-10-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the /ital Federal Register/ and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  13. Environmental Regulatory Update Table, November 1988

    SciTech Connect

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-12-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  14. Environmental regulatory update table, June 1990

    SciTech Connect

    Houlberg, L.M.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1990-07-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  15. Environmental Regulatory Update Table, September 1990

    SciTech Connect

    Houlberg, L.M.; Nikbakht, A.; Salk, M.S.

    1990-10-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  16. Environmental Regulatory Update Table, April 1991

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1991-05-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  17. Environmental Regulatory Update Table, August 1990

    SciTech Connect

    Houlberg, L.M.; Nikbakht, A.; Salk, M.S.

    1990-09-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  18. Environmental Regulatory Update Table, August 1991

    SciTech Connect

    Houlberg, L.M., Hawkins, G.T.; Salk, M.S.

    1991-09-01

    This Environmental Regulatory Update Table (August 1991) provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  19. Environmental Sciences Division: Environmental regulatory update table

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-09-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  20. Environmental regulatory update table, May 1988

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-06-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  1. Environmental regulatory update table, March 1989

    SciTech Connect

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1989-04-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  2. Environmental Regulatory Update Table, April 1989

    SciTech Connect

    Houlberg, L.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1989-05-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  3. Environmental Regulatory Update Table, December 1989

    SciTech Connect

    Houlbert, L.M.; Langston, M.E. ); Nikbakht, A.; Salk, M.S. )

    1990-01-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

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    Botterud, A.; Wang, J.; Miranda, V.; Bessa, R. J.; Decision and Information Sciences; INESC Porto

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    Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts.

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    SciTech Connect

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    Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts. (author)

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    SciTech Connect

    1996-08-01

    This document consists of papers which cover topics in analysis and modeling that underlie the Annual Energy Outlook 1996. Topics include: The Potential Impact of Technological Progress on U.S. Energy Markets; The Outlook for U.S. Import Dependence; Fuel Economy, Vehicle Choice, and Changing Demographics, and Annual Energy Outlook Forecast Evaluation.

  17. Issues in midterm analysis and forecasting 1998

    SciTech Connect

    1998-07-01

    Issues in Midterm Analysis and Forecasting 1998 (Issues) presents a series of nine papers covering topics in analysis and modeling that underlie the Annual Energy Outlook 1998 (AEO98), as well as other significant issues in midterm energy markets. AEO98, DOE/EIA-0383(98), published in December 1997, presents national forecasts of energy production, demand, imports, and prices through the year 2020 for five cases -- a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The forecasts were prepared by the Energy Information Administration (EIA), using EIA`s National Energy Modeling System (NEMS). The papers included in Issues describe underlying analyses for the projections in AEO98 and the forthcoming Annual Energy Outlook 1999 and for other products of EIA`s Office of Integrated Analysis and Forecasting. Their purpose is to provide public access to analytical work done in preparation for the midterm projections and other unpublished analyses. Specific topics were chosen for their relevance to current energy issues or to highlight modeling activities in NEMS. 59 figs., 44 tabs.

  18. Baseline and Target Values for PV Forecasts: Toward Improved Solar Power Forecasting

    SciTech Connect

    Zhang, Jie; Hodge, Bri-Mathias; Lu, Siyuan; Hamann, Hendrik F.; Lehman, Brad; Simmons, Joseph; Campos, Edwin; Banunarayanan, Venkat

    2015-10-05

    Accurate solar power forecasting allows utilities to get the most out of the solar resources on their systems. To truly measure the improvements that any new solar forecasting methods can provide, it is important to first develop (or determine) baseline and target solar forecasting at different spatial and temporal scales. This paper aims to develop baseline and target values for solar forecasting metrics. These were informed by close collaboration with utility and independent system operator partners. The baseline values are established based on state-of-the-art numerical weather prediction models and persistence models. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of solar power output.

  19. The Wind Forecast Improvement Project (WFIP). A Public-Private Partnership Addressing Wind Energy Forecast Needs

    SciTech Connect

    Wilczak, James M.; Finley, Cathy; Freedman, Jeff; Cline, Joel; Bianco, L.; Olson, J.; Djalaova, I.; Sheridan, L.; Ahlstrom, M.; Manobianco, J.; Zack, J.; Carley, J.; Benjamin, S.; Coulter, R. L.; Berg, Larry K.; Mirocha, Jeff D.; Clawson, K.; Natenberg, E.; Marquis, M.

    2015-10-30

    The Wind Forecast Improvement Project (WFIP) is a public-private research program, the goals of which are to improve the accuracy of short-term (0-6 hr) wind power forecasts for the wind energy industry and then to quantify the economic savings that accrue from more efficient integration of wind energy into the electrical grid. WFIP was sponsored by the U.S. Department of Energy (DOE), with partners that include the National Oceanic and Atmospheric Administration (NOAA), private forecasting companies (WindLogics and AWS Truepower), DOE national laboratories, grid operators, and universities. WFIP employed two avenues for improving wind power forecasts: first, through the collection of special observations to be assimilated into forecast models to improve model initial conditions; and second, by upgrading NWP forecast models and ensembles. The new observations were collected during concurrent year-long field campaigns in two high wind energy resource areas of the U.S. (the upper Great Plains, and Texas), and included 12 wind profiling radars, 12 sodars, 184 instrumented tall towers and over 400 nacelle anemometers (provided by private industry), lidar, and several surface flux stations. Results demonstrate that a substantial improvement of up to 14% relative reduction in power root mean square error (RMSE) was achieved from the combination of improved NOAA numerical weather prediction (NWP) models and assimilation of the new observations. Data denial experiments run over select periods of time demonstrate that up to a 6% relative improvement came from the new observations. The use of ensemble forecasts produced even larger forecast improvements. Based on the success of WFIP, DOE is planning follow-on field programs.

  20. Microsoft Word - table_03.doc

    Energy Information Administration (EIA) (indexed site)

    9 Table 3. Gross withdrawals and marketed production of natural gas by state and the Gulf of Mexico, 2011-2015 (million cubic feet) 2011 Total 12,291,070 5,907,919 1,779,055 8,500,983 28,479,026 3,365,313 209,439 867,922 24,036,352 1,134,473 22,901,879 2012 Total 12,504,227 4,965,833 1,539,395 10,532,858 29,542,313 3,277,588 212,848 768,598 25,283,278 1,250,012 24,033,266 2013 Total 10,759,545 5,404,699 1,425,783 11,932,524 29,522,551 3,331,456 260,394 368,469 25,562,232 1,356,709 24,205,523

  1. Microsoft Word - table_03.doc

    Energy Information Administration (EIA) (indexed site)

    7 Created on: 10/26/2016 5:54:17 PM Table 3. Selected national average natural gas prices, 2011-2016 (dollars per thousand cubic feet, except where noted) Year and Month NGPL Composite Spot Price a Natural Gas Spot Price b Citygate Price Delivered to Consumers Electric Power Price d Residential Commercial Industrial Price % of Total c Price % of Total c Price % of Total c 2011 Annual Average 15.12 4.00 5.63 11.03 96.2 8.91 67.3 5.13 16.3 4.89 2012 Annual Average 10.98 2.75 4.73 10.65 95.8 8.10

  2. Microsoft Word - table_08.doc

    Energy Information Administration (EIA) (indexed site)

    25 Table 8. Summary of U.S. natural gas imports, 2011-2015 Imports Volume (million cubic feet) Pipeline Canada a 3,117,081 2,962,827 2,785,427 2,634,375 2,625,359 Mexico 2,672 314 1,069 1,426 933 Total Pipeline Imports 3,119,753 2,963,140 2,786,496 2,635,801 2,626,291 LNG by Truck Canada 0 0 555 132 437 LNG by Vessel Egypt 35,120 2,811 0 0 0 Nigeria 2,362 0 2,590 0 0 Norway 15,175 6,212 5,627 5,616 12,194 Peru 16,620 0 0 0 0 Qatar 90,972 33,823 7,320 0 0 Trinidad/Tobago 128,620 112,207 69,744

  3. Microsoft Word - table_09.doc

    Energy Information Administration (EIA) (indexed site)

    30 Table 10. Summary of U.S. natural gas exports, 2011-2015 Exports Volume (million cubic feet) Pipeline Canada 936,993 970,729 911,007 769,258 700,647 Mexico 498,657 619,802 658,368 728,513 1,054,271 Total Pipeline Exports 1,435,649 1,590,531 1,569,375 1,497,771 1,754,918 LNG Exports By Vessel China 1,127 0 0 0 0 Japan 15,271 9,342 0 13,310 8,262 Taiwan 0 0 0 0 8,257 By Truck Canada 0 2 71 99 41 Mexico 236 153 128 181 195 Re-Exports By Vessel Brazil 11,049 8,142 0 2,664 5,533 Chile 2,910 0 0 0

  4. Microsoft Word - table_20.doc

    Energy Information Administration (EIA) (indexed site)

    8 Table 20. Number of natural gas residential consumers by type of service and state, 2014-2015 Alabama R 769,900 0 R 769,900 768,568 0 768,568 Alaska 126,416 0 126,416 128,605 0 128,605 Arizona 1,186,788 6 1,186,794 1,200,777 6 1,200,783 Arkansas 549,034 0 549,034 550,108 0 550,108 California 10,372,973 408,747 10,781,720 10,539,966 429,631 10,969,597 Colorado 1,690,576 5 1,690,581 1,712,150 3 1,712,153 Connecticut 521,460 1,198 522,658 530,309 1,071 531,380 Delaware 158,502 0 158,502 161,607 0

  5. Microsoft Word - table_22.doc

    Energy Information Administration (EIA) (indexed site)

    0 Table 22. Number of natural gas industrial consumers by type of service and state, 2014-2015 Alabama 2,973 271 3,244 3,031 269 3,300 Alaska 1 0 1 4 0 4 Arizona 256 130 386 253 147 400 Arkansas 531 478 1,009 538 485 1,023 California 32,266 5,282 37,548 31,771 5,083 36,854 Colorado 986 6,837 7,823 1,018 7,080 8,098 Connecticut 3,340 877 4,217 3,335 610 3,945 Delaware 28 113 141 29 115 144 Florida 165 355 520 152 327 479 Georgia 887 1,594 2,481 951 1,597 2,548 Hawaii 23 0 23 25 0 25 Idaho 115 74

  6. Microsoft Word - table_25.doc

    Energy Information Administration (EIA) (indexed site)

    72 Table 25. Average price of natural gas delivered to residential and commercial sector consumers by local distribution and marketers in selected states, 2014-2015 (dollars per thousand cubic feet) Georgia 12.38 14.79 14.45 14.0 12.14 15.00 14.62 13.5 New York 12.15 13.46 12.54 70.5 10.76 12.28 11.20 71.1 Ohio 10.15 10.16 10.16 20.0 9.24 9.58 9.51 20.1 Residential State 2014 2015 Local Distribution Company Average Price a Marketer Average Price b Combined Average Price c Percent Sold by Local

  7. Microsoft Word - table_26.doc

    Energy Information Administration (EIA) (indexed site)

    7 Table 27. Percent distribution of natural gas supply and disposition by state, 2015 Alabama 0.6 1.6 Alaska 1.2 1.7 Arizona < 0.6 Arkansas 3.7 1.0 California 0.8 8.5 Colorado 5.9 2.1 Connecticut -- 0.8 Delaware -- 0.3 District of Columbia -- 0.2 Florida < 1.0 Georgia -- 1.9 Gulf of Mexico 4.5 0.5 Hawaii -- < Idaho -- 0.4 Illinois < 5.2 Indiana < 3.3 Iowa -- 1.7 Kansas 1.0 1.3 Kentucky 0.3 1.2 Louisiana 6.4 6.4 Maine -- 0.2 Maryland < 1.0 Massachusetts -- 1.6 Michigan 0.4 3.8

  8. Operational forecasting based on a modified Weather Research and Forecasting model

    SciTech Connect

    Lundquist, J; Glascoe, L; Obrecht, J

    2010-03-18

    Accurate short-term forecasts of wind resources are required for efficient wind farm operation and ultimately for the integration of large amounts of wind-generated power into electrical grids. Siemens Energy Inc. and Lawrence Livermore National Laboratory, with the University of Colorado at Boulder, are collaborating on the design of an operational forecasting system for large wind farms. The basis of the system is the numerical weather prediction tool, the Weather Research and Forecasting (WRF) model; large-eddy simulations and data assimilation approaches are used to refine and tailor the forecasting system. Representation of the atmospheric boundary layer is modified, based on high-resolution large-eddy simulations of the atmospheric boundary. These large-eddy simulations incorporate wake effects from upwind turbines on downwind turbines as well as represent complex atmospheric variability due to complex terrain and surface features as well as atmospheric stability. Real-time hub-height wind speed and other meteorological data streams from existing wind farms are incorporated into the modeling system to enable uncertainty quantification through probabilistic forecasts. A companion investigation has identified optimal boundary-layer physics options for low-level forecasts in complex terrain, toward employing decadal WRF simulations to anticipate large-scale changes in wind resource availability due to global climate change.

  9. FY 2014 Budget Request Summary Table | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Summary Table FY 2014 Budget Request Summary Table Summary Table by Appropriations (100.37 KB) Summary Table by Organization (97.17 KB) More Documents & Publications FY 2014 Budget Request Statistical Table FY 2014 Budget Justification FY 2014 Department of Energy Budget Highlights

  10. Supplemental Tables to the Annual Energy Outlook

    Reports and Publications

    2015-01-01

    The Annual Energy Outlook (AEO) Supplemental tables were generated for the reference case of the AEO using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets. Most of the tables were not published in the AEO, but contain regional and other more detailed projections underlying the AEO projections.

  11. Forecastability as a Design Criterion in Wind Resource Assessment: Preprint

    SciTech Connect

    Zhang, J.; Hodge, B. M.

    2014-04-01

    This paper proposes a methodology to include the wind power forecasting ability, or 'forecastability,' of a site as a design criterion in wind resource assessment and wind power plant design stages. The Unrestricted Wind Farm Layout Optimization (UWFLO) methodology is adopted to maximize the capacity factor of a wind power plant. The 1-hour-ahead persistence wind power forecasting method is used to characterize the forecastability of a potential wind power plant, thereby partially quantifying the integration cost. A trade-off between the maximum capacity factor and the forecastability is investigated.

  12. 1999 Commercial Building Characteristics--Detailed Tables--Size...

    Energy Information Administration (EIA) (indexed site)

    Complete Set of 1999 CBECS Detailed Tables Detailed Tables- of Buildings Table B6. Building Size, Number of Buildings b6.pdf (PDF file), b6.xls (Excel spreadsheet file), b6.txt...

  13. 1999 Commercial Buildings Characteristics--Detailed Tables--Conservati...

    Energy Information Administration (EIA) (indexed site)

    as rowstubs in most detailed tables. Total buildings, total floorspace, and average building size for these categories are shown in Table B1. The PDF and spreadsheet data tables...

  14. Table 26. Natural gas home customer-weighted heating degree...

    Energy Information Administration (EIA) (indexed site)

    6:14:01 PM Table 26. Natural gas home customer-weighted heating degree days MonthYear... Table 26 Created on: 4262016 6:14:07 PM Table 26. Natural gas home customer-weighted ...

  15. Forecasting hotspots using predictive visual analytics approach

    SciTech Connect

    Maciejewski, Ross; Hafen, Ryan; Rudolph, Stephen; Cleveland, William; Ebert, David

    2014-12-30

    A method for forecasting hotspots is provided. The method may include the steps of receiving input data at an input of the computational device, generating a temporal prediction based on the input data, generating a geospatial prediction based on the input data, and generating output data based on the time series and geospatial predictions. The output data may be configured to display at least one user interface at an output of the computational device.

  16. 1999 CBECS Summary Table for All Building Activities

    Energy Information Administration (EIA) (indexed site)

    Tables 1999 Commercial Buildings Consumption Survey SUMMARY TABLES FOR ALL PRINCIPAL BUILDING ACTIVITIES Number of Buildings (thousand) Floorspace (million square feet) Square...

  17. Minimum Efficiency Requirements Tables for Heating and Cooling...

    Energy Saver

    The Federal Energy Management Program (FEMP) created tables that mirror American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) 90.1-2013 tables, which ...

  18. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

    Energy Information Administration (EIA) (indexed site)

    of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information Administration Petroleum Marketing Annual 1997 Table 43....

  19. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

    Energy Information Administration (EIA) (indexed site)

    of table. 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State 262 Energy Information Administration Petroleum Marketing Annual 1996 Table 43....

  20. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

    Energy Information Administration (EIA) (indexed site)

    at end of table. 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 56 Energy Information Administration Petroleum Marketing Annual 1996 Table 31. Motor...

  1. Table I: Technical Targets for Catalyst Coated Membranes (CCMs...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    More Documents & Publications Table III: Technical Targets for Catalyst Coated Membranes (CCMs): Stationary R&D Plan for the High Temperature Membrane Working Group Table IV: ...

  2. 2008 Annual Merit Review Results Summary - Cover and Table of...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Cover and Table of Contents 2008 Annual Merit Review Results Summary - Cover and Table of Contents DOE Vehicle Technologies Annual Merit Review 2008meritreviewcontents.pdf ...

  3. Energy Information Administration - Energy Efficiency-Table 3...

    Annual Energy Outlook

    Energy Efficiency > Iron and Steel Manufacturing Energy, 1998 and 2002 > Table 3 Page Last Modified: June 2010 Table 3. Offsite-Produced Fuel Consumption, 1998, 2002, and 2006...

  4. EIA - Annual Energy Outlook (AEO) 2013 Data Tables

    Annual Energy Outlook

    Table 55.2. Electric Power Projections by Electricity Market Module Region - Florida Reliability Coordinating Council XLS Table 55.3. Electric Power Projections by Electricity...

  5. ARM: RPH stabilized table control data (Dataset) | Data Explorer

    Office of Scientific and Technical Information (OSTI)

    RPH stabilized table control data Title: ARM: RPH stabilized table control data RPH ... Sponsoring Org: USDOE Office of Science (SC), Biological and Environmental Research (BER) ...

  6. Energy.gov Data Tables in Content Management System | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Data Tables in Content Management System Energy.gov Data Tables in Content Management System For Office of Energy Efficiency and Renewable Energy (EERE) websites, follow these...

  7. Global disease monitoring and forecasting with Wikipedia

    SciTech Connect

    Generous, Nicholas; Fairchild, Geoffrey; Deshpande, Alina; Del Valle, Sara Y.; Priedhorsky, Reid; Salathé, Marcel

    2014-11-13

    Infectious disease is a leading threat to public health, economic stability, and other key social structures. Efforts to mitigate these impacts depend on accurate and timely monitoring to measure the risk and progress of disease. Traditional, biologically-focused monitoring techniques are accurate but costly and slow; in response, new techniques based on social internet data, such as social media and search queries, are emerging. These efforts are promising, but important challenges in the areas of scientific peer review, breadth of diseases and countries, and forecasting hamper their operational usefulness. We examine a freely available, open data source for this use: access logs from the online encyclopedia Wikipedia. Using linear models, language as a proxy for location, and a systematic yet simple article selection procedure, we tested 14 location-disease combinations and demonstrate that these data feasibly support an approach that overcomes these challenges. Specifically, our proof-of-concept yields models with up to 0.92, forecasting value up to the 28 days tested, and several pairs of models similar enough to suggest that transferring models from one location to another without re-training is feasible. Based on these preliminary results, we close with a research agenda designed to overcome these challenges and produce a disease monitoring and forecasting system that is significantly more effective, robust, and globally comprehensive than the current state of the art.

  8. A survey on wind power ramp forecasting.

    SciTech Connect

    Ferreira, C.; Gama, J.; Matias, L.; Botterud, A.; Wang, J.

    2011-02-23

    The increasing use of wind power as a source of electricity poses new challenges with regard to both power production and load balance in the electricity grid. This new source of energy is volatile and highly variable. The only way to integrate such power into the grid is to develop reliable and accurate wind power forecasting systems. Electricity generated from wind power can be highly variable at several different timescales: sub-hourly, hourly, daily, and seasonally. Wind energy, like other electricity sources, must be scheduled. Although wind power forecasting methods are used, the ability to predict wind plant output remains relatively low for short-term operation. Because instantaneous electrical generation and consumption must remain in balance to maintain grid stability, wind power's variability can present substantial challenges when large amounts of wind power are incorporated into a grid system. A critical issue is ramp events, which are sudden and large changes (increases or decreases) in wind power. This report presents an overview of current ramp definitions and state-of-the-art approaches in ramp event forecasting.

  9. Global disease monitoring and forecasting with Wikipedia

    DOE PAGES [OSTI]

    Generous, Nicholas; Fairchild, Geoffrey; Deshpande, Alina; Del Valle, Sara Y.; Priedhorsky, Reid; Salathé, Marcel

    2014-11-13

    Infectious disease is a leading threat to public health, economic stability, and other key social structures. Efforts to mitigate these impacts depend on accurate and timely monitoring to measure the risk and progress of disease. Traditional, biologically-focused monitoring techniques are accurate but costly and slow; in response, new techniques based on social internet data, such as social media and search queries, are emerging. These efforts are promising, but important challenges in the areas of scientific peer review, breadth of diseases and countries, and forecasting hamper their operational usefulness. We examine a freely available, open data source for this use: accessmore » logs from the online encyclopedia Wikipedia. Using linear models, language as a proxy for location, and a systematic yet simple article selection procedure, we tested 14 location-disease combinations and demonstrate that these data feasibly support an approach that overcomes these challenges. Specifically, our proof-of-concept yields models with up to 0.92, forecasting value up to the 28 days tested, and several pairs of models similar enough to suggest that transferring models from one location to another without re-training is feasible. Based on these preliminary results, we close with a research agenda designed to overcome these challenges and produce a disease monitoring and forecasting system that is significantly more effective, robust, and globally comprehensive than the current state of the art.« less

  10. Baseline and Target Values for PV Forecasts: Toward Improved Solar Power Forecasting: Preprint

    SciTech Connect

    Zhang, Jie; Hodge, Bri-Mathias; Lu, Siyuan; Hamann, Hendrik F.; Lehman, Brad; Simmons, Joseph; Campos, Edwin; Banunarayanan, Venkat

    2015-08-05

    Accurate solar power forecasting allows utilities to get the most out of the solar resources on their systems. To truly measure the improvements that any new solar forecasting methods can provide, it is important to first develop (or determine) baseline and target solar forecasting at different spatial and temporal scales. This paper aims to develop baseline and target values for solar forecasting metrics. These were informed by close collaboration with utility and independent system operator partners. The baseline values are established based on state-of-the-art numerical weather prediction models and persistence models. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of solar power output. forecasting metrics. These were informed by close collaboration with utility and independent system operator partners. The baseline values are established based on state-of-the-art numerical weather prediction models and persistence models. The target values are determined based on the reduction in the amount of reserves that must be held to accommodate the uncertainty of solar power output.

  11. Microsoft Word - table_05.doc

    Energy Information Administration (EIA) (indexed site)

    3 Table 5. Number of wells producing natural gas by state and the Gulf of Mexico, 2011-2015 Alabama 346 R 6,243 367 R 6,203 402 R 6,174 436 R 6,117 414 6,044 Alaska 2,040 R 274 1,981 R 281 2,006 R 300 2,042 R 338 2,096 329 Arizona 1 5 1 R 4 1 R 3 0 R 6 1 6 Arkansas 165 R 8,428 174 R 9,012 218 R 9,324 233 R 9,778 240 9,965 California 25,958 R 4,240 26,061 R 4,356 26,542 R 4,183 26,835 R 4,211 27,075 4,209 Colorado 5,963 R 43,792 6,456 R 46,141 6,799 R 46,883 7,771 R 46,876 7,733 46,322 Florida 30

  12. Microsoft Word - table_24.doc

    Energy Information Administration (EIA) (indexed site)

    7 Table 24. Average price of natural gas delivered to consumers by state and sector, 2015 (dollars per thousand cubic feet) Alabama 14.13 100.0 11.26 77.5 4.08 23.2 3.06 Alaska 9.64 100.0 8.01 98.2 6.86 100.0 5.40 Arizona 17.04 100.0 10.53 83.6 6.78 15.8 3.43 Arkansas 11.58 100.0 8.43 42.5 6.91 1.7 W California 11.39 94.9 8.04 49.9 6.41 3.8 3.39 Colorado 8.27 100.0 7.47 94.5 5.74 7.6 3.81 Connecticut 12.50 96.3 8.60 76.1 6.35 47.3 4.73 Delaware 12.62 100.0 10.70 45.7 10.11 0.3 W District of

  13. Environmental regulatory update table, April 1990

    SciTech Connect

    Houlberg, L.M.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1990-05-01

    This report contains a monthly update of environmental regulatory activity that is of interest to the Department of Energy. It is provided to DOE operations and contractor staff to assist and support environmental management programs by tracking regulatory developments. The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and projection of further action.

  14. Environmental regulatory update table, May 1990

    SciTech Connect

    Houlberg, L.M.; Nikbakht, A.; Salk, M.S.

    1990-06-01

    This report contains a monthly update of environmental regulatory activity that is of interest to the Department of Energy. It is provided to DOE operations and contractor staff to assist and support environmental management programs by tracking regulatory developments. The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  15. Environmental regulatory update table, March 1990

    SciTech Connect

    Houlberg, L.M.; Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1990-04-01

    This report contains a monthly update of environmental regulatory activity that is of interest to the Department of Energy. It is provided to DOE operations and contractor staff to assist and support environmental management programs by tracking regulatory developments. The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  16. 1998 MWD/LWD comparison tables

    SciTech Connect

    1998-05-01

    This year`s comparison tables feature an updated Quick Reference Guide listing MWD sensors by collar size for each manufacturer. Following the Quick Reference Guide are the comparison tables, which list general, directional, gamma ray, resistivity, density and neutron data for each tool. The MWD Tables should only be used as a reference source. System specifications frequently change as tools are refined and developed. Please consult representatives for each company prior to making final tool selections. A contact key for all the companies is included.

  17. TableHC2.13.xls

    Annual Energy Outlook

    ... Table HC7.13 Lighting Usage Indicators by Household Income, 2005 Below Poverty Line ... Below Poverty Line Eligible for Federal Assistance 1 Million U.S. Housing Units 2005 ...

  18. Microsoft Word - table_C01

    Annual Energy Outlook

    ...2016 10:55:45 AM Table C1. Standard error for natural gas deliveries and price by consumers, by state, February 2016 State Volume Relative Standard Error (Percent) Price ...

  19. Microsoft Word - table_A2.doc

    Energy Information Administration (EIA) (indexed site)

    195 19 4 Figure A1. Natural gas processing plant capacity in the United States, 2014 2014 Table A2. Natural gas processing plant capacity, by state, 2014 (million cubic feet per ...

  20. Table of Contents for Desk Guide

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    September, 2014 U. S. Department of Energy - Real Estate Desk Guide Revised 2014 Real Estate Desk Guide Table of Contents Chapter 1-- Purpose of Desk Guide............................................................................... 1 Chapter 2-- Introduction ................................................................................................. 3 Chapter 3-- Planning Policy ........................................................................................... 9 Chapter 4-- Real

  1. FY 2015 Summary Control Table by Appropriation

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Summary Control Table by Appropriation (dollars in thousands - OMB Scoring) Summary Control Table by Appropriation Page 1 FY 2015 Congressional Request FY 2013 FY 2014 FY 2014 FY 2014 FY 2015 Current Enacted Adjustment Current Congressional Approp. Approp. Approp. Request Discretionary Summary By Appropriation Energy And Water Development And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy................................... 1,691,757 1,900,641 ----

  2. Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint

    SciTech Connect

    Zhang, J.; Hodge, B. M.; Florita, A.; Lu, S.; Hamann, H. F.; Banunarayanan, V.

    2013-10-01

    Forecasting solar energy generation is a challenging task due to the variety of solar power systems and weather regimes encountered. Forecast inaccuracies can result in substantial economic losses and power system reliability issues. This paper presents a suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios (i.e., different time horizons, geographic locations, applications, etc.). In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design of experiments methodology, in conjunction with response surface and sensitivity analysis methods. The results show that the developed metrics can efficiently evaluate the quality of solar forecasts, and assess the economic and reliability impact of improved solar forecasting.

  3. Wind speed forecasting in the central California wind resource area

    SciTech Connect

    McCarthy, E.F.

    1997-12-31

    A wind speed forecasting program was implemented in the summer seasons of 1985 - 87 in the Central California Wind Resource Area (WRA). The forecasting program is designed to use either meteorological observations from the WRA and local upper air observations or upper air observations alone to predict the daily average windspeed at two locations. Forecasts are made each morning at 6 AM and are valid for a 24 hour period. Ease of use is a hallmark of the program as the daily forecast can be made using data entered into a programmable HP calculator. The forecasting program was the first step in a process to examine whether the electrical energy output of an entire wind power generation facility or defined subsections of the same facility could be predicted up to 24 hours in advance. Analysis of the results of the summer season program using standard forecast verification techniques show the program has skill over persistence and climatology.

  4. RSE Table 7.4 Relative Standard Errors for Table 7.4

    Energy Information Administration (EIA) (indexed site)

    4 Relative Standard Errors for Table 7.4;" " Unit: Percents." " ",," "," ",," "," " "Economic",,"Residual","Distillate","Natural ","LPG and" "Characteristic(a)","Electricity","Fuel ...

  5. RSE Table 7.5 Relative Standard Errors for Table 7.5

    Energy Information Administration (EIA) (indexed site)

    5 Relative Standard Errors for Table 7.5;" " Unit: Percents." " ",," "," ",," "," " "Economic",,"Residual","Distillate","Natural ","LPG and" "Characteristic(a)","Electricity","Fuel ...

  6. Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory

    Office of Scientific and Technical Information (OSTI)

    (BNL) Field Campaign Report (Technical Report) | SciTech Connect Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) Field Campaign Report Citation Details In-Document Search Title: Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) Field Campaign Report The Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) [http://www.arm.gov/campaigns/osc2013rwpcf] campaign was scheduled to take place from 15 July

  7. Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory

    Office of Scientific and Technical Information (OSTI)

    (BNL) Field Campaign Report (Technical Report) | SciTech Connect Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) Field Campaign Report Citation Details In-Document Search Title: Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) Field Campaign Report The Radar Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory (BNL) [http://www.arm.gov/campaigns/osc2013rwpcf] campaign was scheduled to take place from 15 July

  8. Funding Opportunity Announcement for Wind Forecasting Improvement Project

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    in Complex Terrain | Department of Energy Funding Opportunity Announcement for Wind Forecasting Improvement Project in Complex Terrain Funding Opportunity Announcement for Wind Forecasting Improvement Project in Complex Terrain April 4, 2014 - 9:47am Addthis On April 4, 2014 the U.S. Department of Energy announced a $2.5 million funding opportunity entitled "Wind Forecasting Improvement Project in Complex Terrain." By researching the physical processes that take place in complex

  9. Wind Forecast Improvement Project Southern Study Area Final Report |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern Study Area Final Report.pdf (15.76 MB) More Documents & Publications QER - Comment of Edison Electric Institute (EEI) 1 QER - Comment of Canadian Hydropower Association Team roster: Dan Paikowsky, Management; Christian Bain, Entrepreneurship; Noah Meunier, Mechanical Engineering &

  10. Module 6 - Metrics, Performance Measurements and Forecasting | Department

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    of Energy 6 - Metrics, Performance Measurements and Forecasting Module 6 - Metrics, Performance Measurements and Forecasting This module focuses on the metrics and performance measurement tools used in Earned Value. This module reviews metrics such as cost and schedule variance along with cost and schedule performance indices. In addition, this module will outline forecasting tools such as estimate to complete (ETC) and estimate at completion (EAC). Begin Module >> (471

  11. DOE Benefits Forecasts: Report of the External Peer Review Panel |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Benefits Forecasts: Report of the External Peer Review Panel DOE Benefits Forecasts: Report of the External Peer Review Panel A report for the FY 2007 GPRA methodology review, highlighting the views of an external expert peer review panel on DOE benefits forecasts. Report of the External Peer Review Panel (777.84 KB) More Documents & Publications Industrial Technologies Funding Profile by Subprogram Survey of Emissions Models for Distributed Combined Heat and Power

  12. Upcoming Funding Opportunity for Wind Forecasting Improvement Project in

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Complex Terrain | Department of Energy Wind Forecasting Improvement Project in Complex Terrain Upcoming Funding Opportunity for Wind Forecasting Improvement Project in Complex Terrain February 12, 2014 - 10:47am Addthis On February 11, 2014 the Wind Program announced a Notice of Intent to issue a funding opportunity entitled "Wind Forecasting Improvement Project in Complex Terrain." By researching the physical processes that take place in complex terrain, this funding would improve

  13. Qualified Energy Conservation Bond State-by-State Summary Tables

    Energy.gov [DOE]

    Provides a list of qualified energy conservation bond state summary tables. Author: Energy Programs Consortium

  14. Product Guide Product Guide Volumes Category Prices Table Crude...

    Annual Energy Outlook

    suppliers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . -- 49 Product Guide Volumes Category Prices Table Energy Information Administration Petroleum...

  15. Product Guide Product Guide Volumes Category Prices Table Crude...

    Annual Energy Outlook

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . -- 49 Product Guide Volumes Category Prices Table Energy Information Administration Petroleum Marketing...

  16. Validation of Global Weather Forecast and Climate Models Over...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Validation of Global Weather Forecast and Climate Models Over the North Slope of Alaska Xie, Shaocheng Lawrence Livermore National Laboratory Klein, Stephen Lawrence Livermore ...

  17. DOE Publishes New Forecast of Energy Savings from LED Lighting...

    Office of Environmental Management (EM)

    Addthis Related Articles DOE Releases Latest Report on Energy Savings Forecast of Solid-State Lighting DOE Publishes Pricing and Efficacy Trend Analysis for Utility Program ...

  18. Wind Power Forecasting Error Distributions: An International Comparison; Preprint

    SciTech Connect

    Hodge, B. M.; Lew, D.; Milligan, M.; Holttinen, H.; Sillanpaa, S.; Gomez-Lazaro, E.; Scharff, R.; Soder, L.; Larsen, X. G.; Giebel, G.; Flynn, D.; Dobschinski, J.

    2012-09-01

    Wind power forecasting is expected to be an important enabler for greater penetration of wind power into electricity systems. Because no wind forecasting system is perfect, a thorough understanding of the errors that do occur can be critical to system operation functions, such as the setting of operating reserve levels. This paper provides an international comparison of the distribution of wind power forecasting errors from operational systems, based on real forecast data. The paper concludes with an assessment of similarities and differences between the errors observed in different locations.

  19. NREL: Resource Assessment and Forecasting - Data and Resources

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Data and Resources National Solar Radiation Database NREL resource assessment and forecasting research information is available from the following sources. Renewable Resource Data ...

  20. Ensemble Solar Forecasting Statistical Quantification and Sensitivity Analysis: Preprint

    SciTech Connect

    Cheung, WanYin; Zhang, Jie; Florita, Anthony; Hodge, Bri-Mathias; Lu, Siyuan; Hamann, Hendrik F.; Sun, Qian; Lehman, Brad

    2015-12-08

    Uncertainties associated with solar forecasts present challenges to maintain grid reliability, especially at high solar penetrations. This study aims to quantify the errors associated with the day-ahead solar forecast parameters and the theoretical solar power output for a 51-kW solar power plant in a utility area in the state of Vermont, U.S. Forecasts were generated by three numerical weather prediction (NWP) models, including the Rapid Refresh, the High Resolution Rapid Refresh, and the North American Model, and a machine-learning ensemble model. A photovoltaic (PV) performance model was adopted to calculate theoretical solar power generation using the forecast parameters (e.g., irradiance, cell temperature, and wind speed). Errors of the power outputs were quantified using statistical moments and a suite of metrics, such as the normalized root mean squared error (NRMSE). In addition, the PV model's sensitivity to different forecast parameters was quantified and analyzed. Results showed that the ensemble model yielded forecasts in all parameters with the smallest NRMSE. The NRMSE of solar irradiance forecasts of the ensemble NWP model was reduced by 28.10% compared to the best of the three NWP models. Further, the sensitivity analysis indicated that the errors of the forecasted cell temperature attributed only approximately 0.12% to the NRMSE of the power output as opposed to 7.44% from the forecasted solar irradiance.

  1. Ensemble Solar Forecasting Statistical Quantification and Sensitivity Analysis

    SciTech Connect

    Cheung, WanYin; Zhang, Jie; Florita, Anthony; Hodge, Bri-Mathias; Lu, Siyuan; Hamann, Hendrik F.; Sun, Qian; Lehman, Brad

    2015-10-02

    Uncertainties associated with solar forecasts present challenges to maintain grid reliability, especially at high solar penetrations. This study aims to quantify the errors associated with the day-ahead solar forecast parameters and the theoretical solar power output for a 51-kW solar power plant in a utility area in the state of Vermont, U.S. Forecasts were generated by three numerical weather prediction (NWP) models, including the Rapid Refresh, the High Resolution Rapid Refresh, and the North American Model, and a machine-learning ensemble model. A photovoltaic (PV) performance model was adopted to calculate theoretical solar power generation using the forecast parameters (e.g., irradiance, cell temperature, and wind speed). Errors of the power outputs were quantified using statistical moments and a suite of metrics, such as the normalized root mean squared error (NRMSE). In addition, the PV model's sensitivity to different forecast parameters was quantified and analyzed. Results showed that the ensemble model yielded forecasts in all parameters with the smallest NRMSE. The NRMSE of solar irradiance forecasts of the ensemble NWP model was reduced by 28.10% compared to the best of the three NWP models. Further, the sensitivity analysis indicated that the errors of the forecasted cell temperature attributed only approximately 0.12% to the NRMSE of the power output as opposed to 7.44% from the forecasted solar irradiance.

  2. DOE Announces Webinars on Solar Forecasting Metrics, the DOE...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    DOE Announces Webinars on Solar Forecasting Metrics, the DOE ... from adopting the latest energy efficiency and renewable ... to liquids technology, advantages of using natural gas, ...

  3. Radar Wind Profiler for Cloud Forecasting at Brookhaven National...

    Office of Scientific and Technical Information (OSTI)

    forecasts for solar-energy applications and 2) to provide vertical profiling capabilities for the study of dynamics (i.e., vertical velocity) and hydrometeors in winter storms. ...

  4. FY 2004 Second Quarter Review Forecast of Generation Accumulated...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Bonneville Power Administration Power Business Line Generation (PBL) Accumulated Net Revenue Forecast for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) and Safety-Net...

  5. PBL FY 2003 Third Quarter Review Forecast of Generation Accumulated...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    2003 Bonneville Power Administration Power Business Line Generation Accumulated Net Revenue Forecast for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) and Safety-Net...

  6. Improving the Accuracy of Solar Forecasting Funding Opportunity...

    Energy Saver

    Through the Improving the Accuracy of Solar Forecasting Funding Opportunity, DOE is funding solar projects that are helping utilities, grid operators, solar power plant owners, and ...

  7. Selected papers on fuel forecasting and analysis

    SciTech Connect

    Gordon, R.L.; Prast, W.G.

    1983-05-01

    Of the 19 presentations at this seminar, covering coal, uranium, oil, and gas issues as well as related EPRI research projects, eleven papers are published in this volume. Nine of the papers primarily address coal-market analysis, coal transportation, and uranium supply. Two additional papers provide an evaluation and perspective on the art and use of coal-supply forecasting models and on the relationship between coal and oil prices. The authors are energy analysts and EPRI research contractors from academia, the consulting profession, and the coal industry. A separate abstract was prepared for each of the 11 papers.

  8. Voluntary Green Power Market Forecast through 2015

    SciTech Connect

    Bird, L.; Holt, E.; Sumner, J.; Kreycik, C.

    2010-05-01

    Various factors influence the development of the voluntary 'green' power market--the market in which consumers purchase or produce power from non-polluting, renewable energy sources. These factors include climate policies, renewable portfolio standards (RPS), renewable energy prices, consumers' interest in purchasing green power, and utilities' interest in promoting existing programs and in offering new green options. This report presents estimates of voluntary market demand for green power through 2015 that were made using historical data and three scenarios: low-growth, high-growth, and negative-policy impacts. The resulting forecast projects the total voluntary demand for renewable energy in 2015 to range from 63 million MWh annually in the low case scenario to 157 million MWh annually in the high case scenario, representing an approximately 2.5-fold difference. The negative-policy impacts scenario reflects a market size of 24 million MWh. Several key uncertainties affect the results of this forecast, including uncertainties related to growth assumptions, the impacts that policy may have on the market, the price and competitiveness of renewable generation, and the level of interest that utilities have in offering and promoting green power products.

  9. Technical analysis in short-term uranium price forecasting

    SciTech Connect

    Schramm, D.S.

    1990-03-01

    As market participants anticipate the end of the current uranium price decline and its subsequent reversal, increased attention will be focused upon forecasting future price movements. Although uranium is economically similar to other mineral commodities, it is questionable whether methodologies used to forecast price movements of such commodities may be successfully applied to uranium.

  10. Environmental Sciences Division environmental regulatory update table

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-05-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action. This report contains a monthly update of environmental regulatory activity that is of interest to the Department of Energy. It is provided to DOE operations and contractor staff to assist and support environmental management programs by tracking regulatory developments. Any proposed regulation that raises significant issues for any DOE operation should be reported to the Office of Environmental Guidance and Compliance.

  11. The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations | Department of Energy The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations The Wind Forecast Improvement

  12. Comparison of Wind Power and Load Forecasting Error Distributions: Preprint

    SciTech Connect

    Hodge, B. M.; Florita, A.; Orwig, K.; Lew, D.; Milligan, M.

    2012-07-01

    The introduction of large amounts of variable and uncertain power sources, such as wind power, into the electricity grid presents a number of challenges for system operations. One issue involves the uncertainty associated with scheduling power that wind will supply in future timeframes. However, this is not an entirely new challenge; load is also variable and uncertain, and is strongly influenced by weather patterns. In this work we make a comparison between the day-ahead forecasting errors encountered in wind power forecasting and load forecasting. The study examines the distribution of errors from operational forecasting systems in two different Independent System Operator (ISO) regions for both wind power and load forecasts at the day-ahead timeframe. The day-ahead timescale is critical in power system operations because it serves the unit commitment function for slow-starting conventional generators.

  13. 3TIER Environmental Forecast Group Inc 3TIER | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    TIER Environmental Forecast Group Inc 3TIER Jump to: navigation, search Name: 3TIER Environmental Forecast Group Inc (3TIER) Place: Seattle, Washington Zip: 98121 Sector: Renewable...

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

    Reports and Publications

    2010-01-01

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

  15. SimTable key tool for preparing, responding to wildfire

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    SimTable key tool for preparing, responding to wildfire SimTable key tool for preparing, responding to wildfire Camera tracks movement and objects and project them onto a sand table. May 30, 2012 SimTable: Stephen Guerin (L) and Chip Garner (R) with SimTable, a Santa Fe company helping firefighters model and predict where a fire is most likely to spread, received support for their business through Lab economic development programs: VAF, NMSBA, Springboard. SimTable: Stephen Guerin (L) and Chip

  16. Incorporating Forecast Uncertainty in Utility Control Center

    SciTech Connect

    Makarov, Yuri V.; Etingov, Pavel V.; Ma, Jian

    2014-07-09

    Uncertainties in forecasting the output of intermittent resources such as wind and solar generation, as well as system loads are not adequately reflected in existing industry-grade tools used for transmission system management, generation commitment, dispatch and market operation. There are other sources of uncertainty such as uninstructed deviations of conventional generators from their dispatch set points, generator forced outages and failures to start up, load drops, losses of major transmission facilities and frequency variation. These uncertainties can cause deviations from the system balance, which sometimes require inefficient and costly last minute solutions in the near real-time timeframe. This Chapter considers sources of uncertainty and variability, overall system uncertainty model, a possible plan for transition from deterministic to probabilistic methods in planning and operations, and two examples of uncertainty-based fools for grid operations.This chapter is based on work conducted at the Pacific Northwest National Laboratory (PNNL)

  17. FY 2007 Control Table by Appropriation

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Control Table by Appropriation (dollars in thousands - OMB Scoring) FY 2005 FY 2006 FY 2007 Current Current Congressional Approp. Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy supply and Conservation......................................... 1,801,815 1,812,627 1,923,361 +110,734 +6.1% Fossil energy programs Clean coal technology.......................................................

  18. FY 2008 Control Table by Appriopriation

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Control Table by Appropriation (dollars in thousands - OMB Scoring) FY 2006 FY 2007 FY 2008 Current Congressional Congressional Approp. Request Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy supply and Conservation..................................... 1,812,397 1,923,361 2,187,943 +264,582 +13.8% Fossil energy programs Clean coal technology...................................................

  19. FY 2015 Summary Control Table by Organization

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    5 Summary Control Table by Organization (dollars in thousands - OMB Scoring) Summary Control by Organization Page 1 FY 2015 Congressional Request FY 2013 FY 2014 FY 2014 FY 2014 FY 2015 Current Enacted Adjustments Current Congressional Approp. Approp. Approp. Request Discretionary Summary By Organization Department Of Energy By Organization National Nuclear Security Administration Weapons Activities............................................................................. 6,966,855 7,781,000

  20. Table of Contents for Desk Guide

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    May, 2013 U. S. Department of Energy - Real Estate Desk Guide Revised 2013 Real Estate Desk Guide Table of Contents Chapter 1-- Purpose of Desk Guide ........................................................................ 1 Chapter 2-- Introduction ......................................................................................... 3 Chapter 3-- Planning Policy .................................................................................... 7 Chapter 4-- Real Estate Function

  1. Help:Tables | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    on tables 3.2 Attributes on cells 3.3 Attributes on rows 3.4 HTML colspan and rowspan 3.5 With HTML attributes and CSS styles 4 Caveats 4.1 Negative numbers 4.2 CSS vs Attributes...

  2. Development and testing of improved statistical wind power forecasting methods.

    SciTech Connect

    Mendes, J.; Bessa, R.J.; Keko, H.; Sumaili, J.; Miranda, V.; Ferreira, C.; Gama, J.; Botterud, A.; Zhou, Z.; Wang, J.

    2011-12-06

    Wind power forecasting (WPF) provides important inputs to power system operators and electricity market participants. It is therefore not surprising that WPF has attracted increasing interest within the electric power industry. In this report, we document our research on improving statistical WPF algorithms for point, uncertainty, and ramp forecasting. Below, we provide a brief introduction to the research presented in the following chapters. For a detailed overview of the state-of-the-art in wind power forecasting, we refer to [1]. Our related work on the application of WPF in operational decisions is documented in [2]. Point forecasts of wind power are highly dependent on the training criteria used in the statistical algorithms that are used to convert weather forecasts and observational data to a power forecast. In Chapter 2, we explore the application of information theoretic learning (ITL) as opposed to the classical minimum square error (MSE) criterion for point forecasting. In contrast to the MSE criterion, ITL criteria do not assume a Gaussian distribution of the forecasting errors. We investigate to what extent ITL criteria yield better results. In addition, we analyze time-adaptive training algorithms and how they enable WPF algorithms to cope with non-stationary data and, thus, to adapt to new situations without requiring additional offline training of the model. We test the new point forecasting algorithms on two wind farms located in the U.S. Midwest. Although there have been advancements in deterministic WPF, a single-valued forecast cannot provide information on the dispersion of observations around the predicted value. We argue that it is essential to generate, together with (or as an alternative to) point forecasts, a representation of the wind power uncertainty. Wind power uncertainty representation can take the form of probabilistic forecasts (e.g., probability density function, quantiles), risk indices (e.g., prediction risk index) or scenarios

  3. EIA Energy Efficiency-Table 1a. Table 1a. Consumption of Site...

    Annual Energy Outlook

    a Page Last Modified: May 2010 Table 1a. Consumption of Energy (Site Energy) for All Purposes (First Use) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey...

  4. U.S. Regional Demand Forecasts Using NEMS and GIS

    SciTech Connect

    Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

    2005-07-01

    The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

  5. CBECS - Buildings and Energy in the 1980's, Table Titles

    Energy Information Administration (EIA) (indexed site)

    for primary or site energy ("p" or "s"). For example, Table R8.90p, shows primary energy data for residential buildings for the 1990 survey year. The tables are arranged into...

  6. Appendix H biomonitoring data table H-1.xls

    Office of Legacy Management (LM)

    This page intentionally left blank Table H-1: Biomonitoring Sediment and Surface Water ... Surface Water P-S1 P-S2 P-S3 Table H-1: Biomonitoring Sediment and Surface Water Data a ...

  7. Radioactive decay data tables (Technical Report) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Radioactive decay data tables Citation Details In-Document Search Title: Radioactive decay data tables You are accessing a document from the Department of Energy's (DOE) SciTech ...

  8. DOE ZERH Second Leading Builder Round Table Meeting Report |...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    DOE ZERH Second Leading Builder Round Table Meeting Report On October 23rd-24th, 2014, the ZERH program held its Second Leading Production Builder Round Table Meeting in Suwanee, ...

  9. Widget:UtilityRateEntryHelperTable | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    UtilityRateEntryHelperTable Jump to: navigation, search This widget displays the utility rate database form. For example: Widget:UtilityRateEntryHelperTable Retrieved from...

  10. Science and Engineering of an Operational Tsunami Forecasting System

    ScienceCinema

    Gonzalez, Frank

    2016-07-12

    After a review of tsunami statistics and the destruction caused by tsunamis, a means of forecasting tsunamis is discussed as part of an overall program of reducing fatalities through hazard assessment, education, training, mitigation, and a tsunami warning system. The forecast is accomplished via a concept called Deep Ocean Assessment and Reporting of Tsunamis (DART). Small changes of pressure at the sea floor are measured and relayed to warning centers. Under development is an international modeling network to transfer, maintain, and improve tsunami forecast models.

  11. Headquarters Facilities Master Security Plan - Table of Contents |

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Department of Energy Facilities Master Security Plan - Table of Contents Headquarters Facilities Master Security Plan - Table of Contents 2016 Headquarters Facilities Master Security Plan - Table of Contents The Table of Contents is an outline of all the chapters and sections of the Headquarters Facilities Master Security Plan (HQFMSP). It directs the reader to the portion of the HQFMSP that will most likely explain the Headquarters (HQ) security procedures he/she is seeking. 2016

  12. Environmental Regulatory Update Table, January/February 1992

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1992-03-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action. This table is for January/February 1992.

  13. Table 3 - DOE Directives Requiring Central Technical Authority (CTA)

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Concurrence Prior to Any Revision or Cancellation | Department of Energy Table 3 - DOE Directives Requiring Central Technical Authority (CTA) Concurrence Prior to Any Revision or Cancellation Table 3 - DOE Directives Requiring Central Technical Authority (CTA) Concurrence Prior to Any Revision or Cancellation Table 3 - DOE Directives Requiring Central Technical Authority (CTA) Concurrence Prior to Any Revision or Cancellation Table 3 - DOE Directives Requiring Central Technical Authority

  14. Minimum Efficiency Requirements Tables for Heating and Cooling Product

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Categories | Department of Energy Minimum Efficiency Requirements Tables for Heating and Cooling Product Categories Minimum Efficiency Requirements Tables for Heating and Cooling Product Categories The Federal Energy Management Program (FEMP) created tables that mirror American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) 90.1-2013 tables, which include minimum efficiency requirements for FEMP-designated and ENERGY STAR-qualified heating and cooling product

  15. Table IV: Technical Targets for Membranes: Stationary | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy IV: Technical Targets for Membranes: Stationary Table IV: Technical Targets for Membranes: Stationary "Technical targets for fuel cell membranes in stationary applications defined by the High Temperature Working Group (February 2003). " technical_targets_membr_stat.pdf (83.24 KB) More Documents & Publications Table II: Technical Targets for Membranes: Automotive Table III: Technical Targets for Catalyst Coated Membranes (CCMs): Stationary Table I: Technical Targets for

  16. Environmental Regulatory Update Table, January/February 1995

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Mayer, S.J.; Salk, M.S.

    1995-03-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives impacting environmental, health, and safety management responsibilities. the table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  17. Wind Energy Technology Trends: Comparing and Contrasting Recent Cost and Performance Forecasts (Poster)

    SciTech Connect

    Lantz, E.; Hand, M.

    2010-05-01

    Poster depicts wind energy technology trends, comparing and contrasting recent cost and performance forecasts.

  18. Development and Demonstration of Advanced Forecasting, Power and Environmental Planning and Management Tools and Best Practices

    Energy.gov [DOE]

    Development and Demonstration of Advanced Forecasting, Power and Environmental Planning and Management Tools and Best Practices

  19. Solar Trackers Market Forecast | OpenEI Community

    OpenEI (Open Energy Information) [EERE & EIA]

    Solar Trackers Market Forecast Home John55364's picture Submitted by John55364(100) Contributor 12 May, 2015 - 03:54 Solar Trackers Market - Global Industry Analysis, Size, Share,...

  20. Energy Forecasting Framework and Emissions Consensus Tool (EFFECT...

    OpenEI (Open Energy Information) [EERE & EIA]

    Tool (EFFECT) EFFECT is an open, Excel-based modeling tool used to forecast greenhouse gas emissions from a range of development scenarios at the regional and national levels....

  1. Value of Improved Short-Term Wind Power Forecasting

    SciTech Connect

    Hodge, B. M.; Florita, A.; Sharp, J.; Margulis, M.; Mcreavy, D.

    2015-02-01

    This report summarizes an assessment of improved short-term wind power forecasting in the California Independent System Operator (CAISO) market and provides a quantification of its potential value.

  2. Recently released EIA report presents international forecasting data

    SciTech Connect

    1995-05-01

    This report presents information from the Energy Information Administration (EIA). Articles are included on international energy forecasting data, data on the use of home appliances, gasoline prices, household energy use, and EIA information products and dissemination avenues.

  3. DOE Releases Latest Report on Energy Savings Forecast of Solid...

    Energy.gov [DOE] (indexed site)

    The sixth iteration of the Energy Savings Forecast of Solid-State Lighting in General Illumination Applications compares the annual lighting energy consumption in the U.S. with and ...

  4. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    SciTech Connect

    Yoo, Wucherl; Sim, Alex

    2014-07-07

    With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2percent. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

  5. The Wind Forecast Improvement Project (WFIP): A Public/Private...

    Energy.gov [DOE] (indexed site)

    The Wind Forecast Improvement Project (WFIP) is a U. S. Department of Energy (DOE) sponsored research project whose overarching goals are to improve the accuracy of short-term wind ...

  6. 915 MHz Wind Profiler for Cloud Forecasting at Brookhaven National...

    Office of Scientific and Technical Information (OSTI)

    U.S. DEPARTMENT OF HP IENERGY Office of Science DOESC-ARM-15-024 915-MHz Wind Profiler ... M Jensen et al., March 2016, DOESC-ARM-15-024 915-MHz Wind Profiler for Cloud Forecasting ...

  7. PBL FY 2002 Second Quarter Review Forecast of Generation Accumulated...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Slice true-ups, and actual expense levels. Any variation of these can change the net revenue situation. FY 2002 Forecasted Second Quarter Results 170 (418) FY 2002 Unaudited...

  8. Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory Levels

    Reports and Publications

    2003-01-01

    This paper presents a short-term monthly forecasting model of West Texas Intermediate crude oil spot price using Organization for Economic Cooperation and Development (OECD) petroleum inventory levels.

  9. AVLIS documentation overview and tables of contents

    SciTech Connect

    Not Available

    1984-11-15

    Three documents constitute the executive summary series in Data Package III: this document (Documentation Overview and Tables of Contents (E001)) plus the AVLIS Production Plant Executive Summary (E010) and the AVLIS Production Plant Overall Design Report (E020). They provide progressively greater detail on the key information and conclusions contained within the data package. The Executive Summary and Overall Design Report present summaries of each Data Package III document. They are intended to provide a global overview of AVLIS Production Plant deployment including program planning, project management, schedules, engineering design, production, operations, capital cost, and operating cost. The purpose of Overview and Tables of Contents is threefold: to briefly review AVLIS goals for Data Package III documentation, to present an overview of the contents of the data package, and to provide a useful guide to information contained in the numerous documents comprising the package.

  10. Expert Panel: Forecast Future Demand for Medical Isotopes | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Expert Panel: Forecast Future Demand for Medical Isotopes Expert Panel: Forecast Future Demand for Medical Isotopes The Expert Panel has concluded that the Department of Energy and National Institutes of Health must develop the capability to produce a diverse supply of radioisotopes for medical use in quantities sufficient to support research and clinical activities. Such a capability would prevent shortages of isotopes, reduce American dependence on foreign radionuclide sources and

  11. Energy Department Forecasts Geothermal Achievements in 2015 | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy Forecasts Geothermal Achievements in 2015 Energy Department Forecasts Geothermal Achievements in 2015 The 40th annual Stanford Geothermal Workshop in January featured speakers in the geothermal sector, including Jay Nathwani, Acting Director of the Energy Department's Geothermal Technologies Office. Nathwani shared achievements and challenges in the program's technical portfolio. The 40th annual Stanford Geothermal Workshop in January featured speakers in the geothermal sector,

  12. Study forecasts disappearance of conifers due to climate change

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Study forecasts disappearance of conifers due to climate change Study forecasts disappearance of conifers due to climate change New results, reported in a paper released today in the journal Nature Climate Change, suggest that global models may underestimate predictions of forest death. December 21, 2015 Los Alamos scientist Nate McDowell discusses how climate change is killing trees with PBS NewsHour reporter Miles O'Brien. Los Alamos scientist Nate McDowell discusses how climate change is

  13. 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National

    Office of Scientific and Technical Information (OSTI)

    Laboratory (Technical Report) | SciTech Connect 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory Citation Details In-Document Search Title: 915-MHz Wind Profiler for Cloud Forecasting at Brookhaven National Laboratory When considering the amount of shortwave radiation incident on a photovoltaic solar array and, therefore, the amount and stability of the energy output from the system, clouds represent the greatest source of short-term (i.e., scale of minutes to

  14. Project Profile: Forecasting and Influencing Technological Progress in

    Energy Saver

    Solar Energy | Department of Energy Soft Costs » Project Profile: Forecasting and Influencing Technological Progress in Solar Energy Project Profile: Forecasting and Influencing Technological Progress in Solar Energy Logos of the University of North Carolina at Charlotte, Arizona State University, and the University of Oxford. -- This project is inactive -- The University of North Carolina at Charlotte, along with their partners at Arizona State University and the University of Oxford,

  15. FY 2009 Control Table by Appropriation

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Control Table by Appropriation (dollars in thousands - OMB Scoring) FY 2007 FY 2008 FY 2009 Current Current Congressional Op. Plan Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy.......................... -- 1,722,407 1,255,393 -467,014 -27.1% Electricity delivery and energy reliability........................... -- 138,556 134,000 -4,556 -3.3% Nuclear

  16. SimTable helps firefighters model and predict fire direction

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    SimTable models and predicts fire path SimTable helps firefighters model and predict fire direction In 2009, SimTable received $100,000 from the LANS Venture Acceleration Fund to improve the user interface and seed firefighting academies with customized set ups. April 3, 2012 Stephen Guerin (L) and Chip Garner (R) with SimTable Stephen Guerin (L), and Chip Garner (R), with SimTable, a Santa Fe company helping firefighters model and predict where a fire is most likely to spread, received support

  17. Argonne Table Tennis Club Meets | Argonne National Laboratory

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Table Tennis Club Meets November 22, 2016 5:30PM to 8:00PM Location Building 362, Room E148 Type Social Event The Argonne Table Tennis Club meets every Tuesday and Thursday, from 5:30 to 8 p.m., in Bldg. 362, Rm. E-148. If you enjoy playing table tennis, stop by and bring your racket. Players of all skill levels, beginner, intermediate and advanced, are welcome. About Table Tennis Table tennis, also known as ping pong, is an exciting game that can be played by two or four players. It is a game

  18. Notice of Intent to Issue Solar Forecasting 2 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Solar Forecasting 2 Notice of Intent to Issue Solar Forecasting 2 Subprogram: Systems Integration Funding Number: DE-FOA-0001658 Funding Amount: $10,000,000 The SunShot Initiative intends to release a funding opportunity announcement (FOA) to support advancements in solar forecasting to enable higher penetration of solar power in the electric grid. The Solar Forecasting 2 FOA will focus on improving solar forecasting skills, especially during challenging conditions, such as partly cloudy weather

  19. Geothermal Technologies Program Multi-Year Research, Development and Demonstration Plan: Table of Contents

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    2008 Table of Contents Table of Contents Foreword . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i Executive Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii 1 .0 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1 .1 Background . . . . . . . . . . . . . . . . . . . . . . . .

  20. Interpolating Low Time-Resolution Forecast Data

    Energy Science and Technology Software Center

    2015-11-03

    Methodology that interpolates low time-resolution data (e.g., hourly) to high time-resolution (e.g., minutely) with variability patterns extracted from historical records. Magnitude of the variability inserted into the low timeresolution data can be adjusted according to the installed capacity represented by the low time-resolution data compared to that by historical records. This approach enables detailed analysis of the impacts from wind and solar on power system intra-hour operations and balancing reserve requirements even with only hourlymore » data. It also allows convenient creation of high resolution wind or solar generation data with various degree of variability to investigate their operational impacts. The methodology comprises of the following steps: 1. Smooth the historical data (set A) with an appropriate window length l to get its trend (set B); l can be a fraction of an hour (e.g., 15 minutes) or longer than an hour, of which the length of the variability patterns will be; 2. Extract the variable component (set C) of historical data by subtracting the smooth trend from it, i.e. set C = set A – set B 3. For each window length l of the variable component data set, find the average value x (will call it base component) of the corresponding window of the historical data set; 4. Define a series of segments (set D) that the values of data will be grouped into, e.g. (0, 0.1), (0.1, 0.2), …, (0.9, 1.0) after normalization; Link each variability pattern to a data segment based on its corresponding base component x; after this step, each data segment should be linked to multiple variability patterns after this step; 5. Use spline function to interpolate the low time-resolution forecast data (set E) to become a high time-resolution smooth curve (set F); 6. Based on the window length l , calculate the average value y in each window length of set F; find the data segment that y belongs to; then randomly select one of the variability patterns linked to this

  1. AVLIS: a technical and economic forecast

    SciTech Connect

    Davis, J.I.; Spaeth, M.L.

    1986-01-01

    The AVLIS process has intrinsically large isotopic selectivity and hence high separative capacity per module. The critical components essential to achieving the high production rates represent a small fraction (approx.10%) of the total capital cost of a production facility, and the reference production designs are based on frequent replacement of these components. The specifications for replacement frequencies in a plant are conservative with respect to our expectations; it is reasonable to expect that, as the plant is operated, the specifications will be exceeded and production costs will continue to fall. Major improvements in separator production rates and laser system efficiencies (approx.power) are expected to occur as a natural evolution in component improvements. With respect to the reference design, such improvements have only marginal economic value, but given the exigencies of moving from engineering demonstration to production operations, we continue to pursue these improvements in order to offset any unforeseen cost increases. Thus, our technical and economic forecasts for the AVLIS process remain very positive. The near-term challenge is to obtain stable funding and a commitment to bring the process to full production conditions within the next five years. If the funding and commitment are not maintained, the team will disperse and the know-how will be lost before it can be translated into production operations. The motivation to preserve the option for low-cost AVLIS SWU production is integrally tied to the motivation to maintain a competitive nuclear option. The US industry can certainly survive without AVLIS, but our tradition as technology leader in the industry will certainly be lost.

  2. Forecasting the 2013–2014 influenza season using Wikipedia

    DOE PAGES [OSTI]

    Hickmann, Kyle S.; Fairchild, Geoffrey; Priedhorsky, Reid; Generous, Nicholas; Hyman, James M.; Deshpande, Alina; Del Valle, Sara Y.; Salathé, Marcel

    2015-05-14

    Infectious diseases are one of the leading causes of morbidity and mortality around the world; thus, forecasting their impact is crucial for planning an effective response strategy. According to the Centers for Disease Control and Prevention (CDC), seasonal influenza affects 5% to 20% of the U.S. population and causes major economic impacts resulting from hospitalization and absenteeism. Understanding influenza dynamics and forecasting its impact is fundamental for developing prevention and mitigation strategies. We combine modern data assimilation methods with Wikipedia access logs and CDC influenza-like illness (ILI) reports to create a weekly forecast for seasonal influenza. The methods are appliedmore » to the 2013-2014 influenza season but are sufficiently general to forecast any disease outbreak, given incidence or case count data. We adjust the initialization and parametrization of a disease model and show that this allows us to determine systematic model bias. In addition, we provide a way to determine where the model diverges from observation and evaluate forecast accuracy. Wikipedia article access logs are shown to be highly correlated with historical ILI records and allow for accurate prediction of ILI data several weeks before it becomes available. The results show that prior to the peak of the flu season, our forecasting method produced 50% and 95% credible intervals for the 2013-2014 ILI observations that contained the actual observations for most weeks in the forecast. However, since our model does not account for re-infection or multiple strains of influenza, the tail of the epidemic is not predicted well after the peak of flu season has passed.« less

  3. Forecasting the 2013–2014 influenza season using Wikipedia

    SciTech Connect

    Hickmann, Kyle S.; Fairchild, Geoffrey; Priedhorsky, Reid; Generous, Nicholas; Hyman, James M.; Deshpande, Alina; Del Valle, Sara Y.; Salathé, Marcel

    2015-05-14

    Infectious diseases are one of the leading causes of morbidity and mortality around the world; thus, forecasting their impact is crucial for planning an effective response strategy. According to the Centers for Disease Control and Prevention (CDC), seasonal influenza affects 5% to 20% of the U.S. population and causes major economic impacts resulting from hospitalization and absenteeism. Understanding influenza dynamics and forecasting its impact is fundamental for developing prevention and mitigation strategies. We combine modern data assimilation methods with Wikipedia access logs and CDC influenza-like illness (ILI) reports to create a weekly forecast for seasonal influenza. The methods are applied to the 2013-2014 influenza season but are sufficiently general to forecast any disease outbreak, given incidence or case count data. We adjust the initialization and parametrization of a disease model and show that this allows us to determine systematic model bias. In addition, we provide a way to determine where the model diverges from observation and evaluate forecast accuracy. Wikipedia article access logs are shown to be highly correlated with historical ILI records and allow for accurate prediction of ILI data several weeks before it becomes available. The results show that prior to the peak of the flu season, our forecasting method produced 50% and 95% credible intervals for the 2013-2014 ILI observations that contained the actual observations for most weeks in the forecast. However, since our model does not account for re-infection or multiple strains of influenza, the tail of the epidemic is not predicted well after the peak of flu season has passed.

  4. LCLS CDR Appendix A - Parameter Tables

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    A Parameter Tables A.1 FEL-Physics A.1.1 Performance A.1.1.1 Electron Beam Parameter Name Low Energy High Energy All Energies Unit Electron energy 4.54 14.35 GeV Electron Lorentz factor 8880 28082 Normalized slice emittance 1.2 1.2 µm rad Charge at undulator entrance 1 1 nC Peak current 3400 3400 A Longitudinal pulse form Flat-Top Transverse pulse form Gaussian RMS bunch length 23 23 µm RMS bunch duration 77 77 fs FWHM bunch length 69 69 µm FWHM bunch duration 230 230 fs Slice rms gamma

  5. Survey of Variable Generation Forecasting in the West: August 2011 - June 2012

    SciTech Connect

    Porter, K.; Rogers, J.

    2012-04-01

    This report surveyed Western Interconnection Balancing Authorities regarding their implementation of variable generation forecasting, the lessons learned to date, and recommendations they would offer to other Balancing Authorities who are considering variable generation forecasting. Our survey found that variable generation forecasting is at an early implementation stage in the West. Eight of the eleven Balancing Authorities interviewed began forecasting in 2008 or later. It also appears that less than one-half of the Balancing Authorities in the West are currently utilizing variable generation forecasting, suggesting that more Balancing Authorities in the West will engage in variable generation forecasting should more variable generation capacity be added.

  6. Table 2 - DOE Regulations Requiring Central Technical Authority (CTA)

    Office of Environmental Management (EM)

    Concurrence Prior to Granting Exemptions or Exceptions | Department of Energy

    1 - DOE Requirements Requiring Central Technical Authority (CTA) Concurrence Prior to Granting Exemptions or Exceptions Table 1 - DOE Requirements Requiring Central Technical Authority (CTA) Concurrence Prior to Granting Exemptions or Exceptions Table 1 - DOE Requirements Requiring Central Technical Authority (CTA) Concurrence Prior to Granting Exemptions or Exceptions Table 1 - DOE Requirements Requiring

  7. Environmental sciences division: Environmental regulatory update table July 1988

    SciTech Connect

    Langston, M.E.; Nikbakht, A.; Salk, M.S.

    1988-08-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated each month with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  8. Environmental Regulatory Update Table, March/April 1993. Revision 1

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-05-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bimonthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  9. Environmental Regulatory Update Table, January--February 1993

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-03-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  10. Environmental regulatory update table, September--October 1992

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Lewis, E.B.; Salk, M.S.

    1992-11-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  11. Environmental Regulatory Update Table, March/April 1993

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-05-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bimonthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  12. Environmental Regulatory Update Table, May/June 1993

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-07-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bimonthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  13. Environmental Regulatory Update Table July/August 1993

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-09-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  14. Environmental Regulatory Update Table, July--August 1992

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Lewis, E.B.; Salk, M.S.

    1992-09-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  15. Environmental Regulatory Update Table, November--December 1992

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Lewis, E.B.; Salk, M.S.

    1993-01-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly wit information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  16. Environmental Regulatory Update Table, September/October 1993

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1993-11-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operation and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  17. Environmental Regulatory Update Table, November--December 1993

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1994-01-01

    The Environmental Regulatory Update Table provides information on regulatory of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  18. Environmental Regulatory Update Table, May--June 1994

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-07-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bimonthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  19. FY 2014 Vehicles FOA 991 Selection Table | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Vehicles FOA 991 Selection Table FY 2014 Vehicles FOA 991 Selection Table The Energy Department announced more than $55 million for 31 new projects to accelerate research and development of critical vehicle technologies that will improve fuel efficiency and reduce costs. Download the PDF to see a full list of projects. FOA 991 Selection Table.pdf (91.17 KB) More Documents & Publications Fact Sheet: Collaboration of Oak Ridge, Argonne, and Livermore (CORAL) Final Report - Grow Solar Wisconsin

  20. Environmental regulatory update table: September/October 1994

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-11-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  1. Environmental regulatory update table, March--April 1994

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-03-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  2. Environmental Regulatory Update Table, January--February 1994

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.; Danford, G.S.; Lewis, E.B.

    1994-03-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations ad contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  3. Environmental Regulatory Update Table, March/April 1992

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Salk, M.S.

    1992-05-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  4. Composite slip table of dissimilar materials for damping longitudinal modes

    DOEpatents

    Gregory, Danny L. (Albuquerque, NM); Priddy, Tommy G. (Albuquerque, NM); Smallwood, David O. (Albuquerque, NM); Woodall, Tommy D. (Albuquerque, NM)

    1991-01-01

    A vibration slip table for use in a vibration testing apparatus. The table s comprised of at least three composite layers of material; a first metal layer, a second damping layer, and a third layer having a high acoustic velocity relative to the first layer. The different acoustic velocities between the first and third layers cause relative shear displacements between the layers with the second layer damping the displacements between the first and third layers to reduce the table longitudinal vibration modes.

  5. Environmental regulatory update table, July/August 1994

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Salk, M.S.

    1994-09-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  6. Environmental regulatory update table November--December 1994

    SciTech Connect

    Houlberg, L.M.; Hawkins, G.T.; Bock, R.E.; Mayer, S.J.; Salk, M.S.

    1995-01-01

    The Environmental Regulatory Update Table provides information on regulatory initiatives of interest to DOE operations and contractor staff with environmental management responsibilities. The table is updated bi-monthly with information from the Federal Register and other sources, including direct contact with regulatory agencies. Each table entry provides a chronological record of the rulemaking process for that initiative with an abstract and a projection of further action.

  7. Table 1 - DOE Requirements Requiring Central Technical Authority (CTA)

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Concurrence Prior to Granting Exemptions or Exceptions | Department of Energy 1 - DOE Requirements Requiring Central Technical Authority (CTA) Concurrence Prior to Granting Exemptions or Exceptions Table 1 - DOE Requirements Requiring Central Technical Authority (CTA) Concurrence Prior to Granting Exemptions or Exceptions Table 1 - DOE Requirements Requiring Central Technical Authority (CTA) Concurrence Prior to Granting Exemptions or Exceptions Table 1 - DOE Requirements Requiring Central

  8. Table 4 - DOE Technical Standards Requiring Central Technical Authority

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    (CTA) Concurrence Prior to Any Revisions or Cancellation | Department of Energy 4 - DOE Technical Standards Requiring Central Technical Authority (CTA) Concurrence Prior to Any Revisions or Cancellation Table 4 - DOE Technical Standards Requiring Central Technical Authority (CTA) Concurrence Prior to Any Revisions or Cancellation Table 4 - DOE Technical Standards Requiring Central Technical Authority (CTA) Concurrence Prior to Any Revisions or Cancellation Table 4 - DOE Technical Standards

  9. Table II: Technical Targets for Membranes: Automotive | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Energy II: Technical Targets for Membranes: Automotive Table II: Technical Targets for Membranes: Automotive Technical targets for fuel cell membranes in automotive applications defined by the High Temperature Working Group (February 2003). technical_targets_membr_auto.pdf (99.62 KB) More Documents & Publications Table IV: Technical Targets for Membranes: Stationary Table I: Technical Targets for Catalyst Coated Membranes (CCMs): Automotive R&D Plan for the High Temperature Membrane

  10. International energy indicators. [Statistical tables and graphs

    SciTech Connect

    Bauer, E.K.

    1980-05-01

    International statistical tables and graphs are given for the following: (1) Iran - Crude Oil Capacity, Production and Shut-in, June 1974-April 1980; (2) Saudi Arabia - Crude Oil Capacity, Production, and Shut-in, March 1974-Apr 1980; (3) OPEC (Ex-Iran and Saudi Arabia) - Capacity, Production and Shut-in, June 1974-March 1980; (4) Non-OPEC Free World and US Production of Crude Oil, January 1973-February 1980; (5) Oil Stocks - Free World, US, Japan, and Europe (Landed, 1973-1st Quarter, 1980); (6) Petroleum Consumption by Industrial Countries, January 1973-December 1979; (7) USSR Crude Oil Production and Exports, January 1974-April 1980; and (8) Free World and US Nuclear Generation Capacity, January 1973-March 1980. Similar statistical tables and graphs included for the United States include: (1) Imports of Crude Oil and Products, January 1973-April 1980; (2) Landed Cost of Saudi Oil in Current and 1974 Dollars, April 1974-January 1980; (3) US Trade in Coal, January 1973-March 1980; (4) Summary of US Merchandise Trade, 1976-March 1980; and (5) US Energy/GNP Ratio, 1947 to 1979.

  11. A Scenario Generation Method for Wind Power Ramp Events Forecasting

    SciTech Connect

    Cui, Ming-Jian; Ke, De-Ping; Sun, Yuan-Zhang; Gan, Di; Zhang, Jie; Hodge, Bri-Mathias

    2015-07-03

    Wind power ramp events (WPREs) have received increasing attention in recent years due to their significant impact on the reliability of power grid operations. In this paper, a novel WPRE forecasting method is proposed which is able to estimate the probability distributions of three important properties of the WPREs. To do so, a neural network (NN) is first proposed to model the wind power generation (WPG) as a stochastic process so that a number of scenarios of the future WPG can be generated (or predicted). Each possible scenario of the future WPG generated in this manner contains the ramping information, and the distributions of the designated WPRE properties can be stochastically derived based on the possible scenarios. Actual data from a wind power plant in the Bonneville Power Administration (BPA) was selected for testing the proposed ramp forecasting method. Results showed that the proposed method effectively forecasted the probability of ramp events.

  12. 1980 annual report to Congress: Volume three, Forecasts: Summary

    SciTech Connect

    Not Available

    1981-05-27

    This report presents an overview of forecasts of domestic energy consumption, production, and prices for the year 1990. These results are selected from more detailed projections prepared and published in Volume 3 of the Energy Information Administration 1980 Annual Report to Congress. This report focuses specifically upon the 1980's and concentrates upon similarities and differences in the domestic energy system, as forecast, compared to the national experience in the years immediately following the 1973--1974 oil embargo. Interest in the 1980's stems not only from its immediacy in time, but also from its importance as a time in which certain adjustments to higher energy prices are expected to take place. The forecasts presented do not attempt to account for all of this wide range of potentially important forces that could conceivably alter the energy situation. Instead, the projections are based on a particular set of assumptions that seems reasonable in light of what is currently known. 9 figs., 25 tabs.

  13. Residential Transportation Historical Data Tables for 1983-2001

    Energy Information Administration (EIA) (indexed site)

    per household and per vehicle; fuel consumption; fuel expenditures; and fuel economy. Excel PDF Trends in Households & Vehicles Table 1. Number of Households with Vehicles excel...

  14. Table 21. Domestic Crude Oil First Purchase Prices

    Energy Information Administration (EIA) (indexed site)

    Administration Petroleum Marketing Annual 1996 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

  15. Table 21. Domestic Crude Oil First Purchase Prices

    Energy Information Administration (EIA) (indexed site)

    AdministrationPetroleum Marketing Annual 1998 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

  16. Table 21. Domestic Crude Oil First Purchase Prices

    Energy Information Administration (EIA) (indexed site)

    Administration Petroleum Marketing Annual 1995 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

  17. Energy.gov Content Management System Data Tables

    Energy.gov [DOE]

    For Office of Energy Efficiency and Renewable Energy (EERE) websites, follow these guidelines for creating Section 508-compliant data tables in the Energy.gov content management system.

  18. Trends in Commercial Buildings--Energy Sources Consumption Tables

    Energy Information Administration (EIA) (indexed site)

    ** estimates adjusted to match the 1995 CBECS definition of target population Energy Information Administration Commercial Buildings Energy Consumption Survey Table 2....

  19. Buildings and Energy in the 1980's (TABLES)

    Energy Information Administration (EIA) (indexed site)

    than 10 households were sampled. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. * Because of rounding, data may...

  20. Table 1b. Relative Standard Errors for Effective, Occupied, and...

    Energy Information Administration (EIA) (indexed site)

    b.Relative Standard Errors Table 1b. Relative Standard Errors for Effective Occupied, and Vacant Square Footage, 1992 Building Characteristics All Buildings (thousand) Total...

  1. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

    Energy Information Administration (EIA) (indexed site)

    1995 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per Day) - Continued Geographic Area Month Premium All Grades Sales...

  2. Petroleum Products Table 43. Refiner Motor Gasoline Volumes...

    Energy Information Administration (EIA) (indexed site)

    2000 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per Day) - Continued Geographic Area Month Premium All Grades Sales...

  3. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

    Energy Information Administration (EIA) (indexed site)

    Annual 1995 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) - Continued Geographic Area Month Premium All...

  4. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

    Energy Information Administration (EIA) (indexed site)

    Annual 2000 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) - Continued Geographic Area Month Premium All...

  5. Table 3a. Total Natural Gas Consumption per Effective Occupied...

    Gasoline and Diesel Fuel Update

    3a. Natural Gas Consumption per Sq Ft Table 3a. Total Natural Gas Consumption per Effective Occupied Square Foot, 1992 Building Characteristics All Buildings Using Natural Gas...

  6. First-principles opacity table of warm dense deuterium forinertial...

    Office of Scientific and Technical Information (OSTI)

    ...ial-confinement-fusion applications Citation Details In-Document Search Title: First-principles opacity table of warm dense deuterium for inertial-confinement-fusion applications ...

  7. Table 13. Coal Production, Projected vs. Actual Projected

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Coal Production, Projected vs. Actual Projected (million short tons) 1993 1994 1995 1996 ... (Washington, DC, September 25, 2014), Table 6.1, Coal Production and Waste Coal Supplied

  8. Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils...

    Energy Information Administration (EIA) (indexed site)

    Marketing Annual 1999 359 Table 50. Prime Supplier Sales Volumes of Distillate Fuel Oils and Kerosene by PAD District and State (Thousand Gallons per Day) - Continued...

  9. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Energy Information Administration (EIA) (indexed site)

    Information AdministrationPetroleum Marketing Annual 1999 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and Selected States (Cents per...

  10. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

    Energy Information Administration (EIA) (indexed site)

    Energy Information Administration Petroleum Marketing Annual 1995 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  11. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

    Energy Information Administration (EIA) (indexed site)

    250 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  12. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

    Energy Information Administration (EIA) (indexed site)

    Information Administration Petroleum Marketing Annual 1995 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  13. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

    Energy Information Administration (EIA) (indexed site)

    Energy Information Administration Petroleum Marketing Annual 1995 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  14. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

    Energy Information Administration (EIA) (indexed site)

    Petroleum Marketing Annual 1998 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

  15. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

    Energy Information Administration (EIA) (indexed site)

    134 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  16. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

    Energy Information Administration (EIA) (indexed site)

    134 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  17. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

    Energy Information Administration (EIA) (indexed site)

    220 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  18. Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...

    Energy Information Administration (EIA) (indexed site)

    - - - - - - - - - - - - See footnotes at end of table. 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 116 Energy Information...

  19. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

    Energy Information Administration (EIA) (indexed site)

    - - - - W W - - - - - - See footnotes at end of table. 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State 292 Energy...

  20. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

    Energy Information Administration (EIA) (indexed site)

    Petroleum Marketing Annual 1999 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

  1. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Energy Information Administration (EIA) (indexed site)

    Information AdministrationPetroleum Marketing Annual 1998 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and Selected States (Cents per...

  2. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

    Energy Information Administration (EIA) (indexed site)

    - - - - W W - - - - - - See footnotes at end of table. 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 86 Energy Information...

  3. Table 48. Prime Supplier Sales Volumes of Motor Gasoline by...

    Energy Information Administration (EIA) (indexed site)

    Petroleum Marketing Annual 1995 Table 48. Prime Supplier Sales Volumes of Motor Gasoline by Grade, Formulation, PAD District, and State (Thousand Gallons per Day) -...

  4. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

    Energy Information Administration (EIA) (indexed site)

    - - - - 64.7 64.7 - - - - - - See footnotes at end of table. 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 86 Energy Information...

  5. Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales...

    Energy Information Administration (EIA) (indexed site)

    250 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 44. Refiner Motor Gasoline Volumes by Formulation, Sales Type, PAD District, and State (Thousand Gallons...

  6. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

    Energy Information Administration (EIA) (indexed site)

    220 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  7. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Energy Information Administration (EIA) (indexed site)

    Information Administration Petroleum Marketing Annual 1995 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  8. Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type...

    Energy Information Administration (EIA) (indexed site)

    Energy Information Administration Petroleum Marketing Annual 1995 Table 43. Refiner Motor Gasoline Volumes by Grade, Sales Type, PAD District, and State (Thousand Gallons per...

  9. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

    Energy Information Administration (EIA) (indexed site)

    Information AdministrationPetroleum Marketing Annual 1998 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  10. Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...

    Energy Information Administration (EIA) (indexed site)

    Information Administration Petroleum Marketing Annual 1995 Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  11. 1991 Tables and Spreadsheets and Answers to Frequently Asked...

    Energy Information Administration (EIA) (indexed site)

    (Table A49) Relationship between Energy and Manufacturing Operations Q:How does energy consumption relate to operating costs? A: :For a review of selected operating ratios,...

  12. Table 2b. Relative Standard Errors for Electricity Consumption...

    Energy Information Administration (EIA) (indexed site)

    2b. Relative Standard Errors for Electricity Table 2b. Relative Standard Errors for Electricity Consumption and Electricity Intensities, per Square Foot, Specific to Occupied and...

  13. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

    Gasoline and Diesel Fuel Update

    See footnotes at end of table. 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State 386 Energy Information...

  14. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

    Annual Energy Outlook

    Marketing Annual 1998 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

  15. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

    Energy Information Administration (EIA) (indexed site)

    Marketing Annual 1995 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

  16. Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane...

    Gasoline and Diesel Fuel Update

    Marketing Annual 1999 Table 49. Prime Supplier Sales Volumes of Aviation Fuels, Propane, and Residual Fuel Oil by PAD District and State (Thousand Gallons per Day) -...

  17. Commercial Buildings Energy Consumption Survey 2003 - Detailed Tables

    Reports and Publications

    2008-01-01

    The tables contain information about energy consumption and expenditures in U.S. commercial buildings and information about energy-related characteristics of these buildings.

  18. Crude Oil Prices Table 21. Domestic Crude Oil First Purchase...

    Energy Information Administration (EIA) (indexed site)

    Information Administration Petroleum Marketing Annual 1995 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

  19. CCPP-ARM Parameterization Testbed Model Forecast Data

    DOE Data Explorer

    Klein, Stephen

    Dataset contains the NCAR CAM3 (Collins et al., 2004) and GFDL AM2 (GFDL GAMDT, 2004) forecast data at locations close to the ARM research sites. These data are generated from a series of multi-day forecasts in which both CAM3 and AM2 are initialized at 00Z every day with the ECMWF reanalysis data (ERA-40), for the year 1997 and 2000 and initialized with both the NASA DAO Reanalyses and the NCEP GDAS data for the year 2004. The DOE CCPP-ARM Parameterization Testbed (CAPT) project assesses climate models using numerical weather prediction techniques in conjunction with high quality field measurements (e.g. ARM data).

  20. Forecast of contracting and subcontracting opportunities. Fiscal year 1996

    SciTech Connect

    1996-02-01

    This forecast of prime and subcontracting opportunities with the U.S. Department of Energy and its MAO contractors and environmental restoration and waste management contractors, is the Department`s best estimate of small, small disadvantaged and women-owned small business procurement opportunities for fiscal year 1996. The information contained in the forecast is published in accordance with Public Law 100-656. It is not an invitation for bids, a request for proposals, or a commitment by DOE to purchase products or services. Each procurement opportunity is based on the best information available at the time of publication and may be revised or cancelled.