Sample records for includes short-term deviations

  1. Primal-Dual Interior Point Method Applied to the Short Term Hydroelectric Scheduling Including a

    E-Print Network [OSTI]

    Oliveira, Aurélio R. L.

    that minimizes losses in the transmission and costs in the generation of a hydroelectric power system, formulated such perturbing parameter. Keywords-- Hydroelectric power system, Network flow, Predispatch, Primal-dual interiorPrimal-Dual Interior Point Method Applied to the Short Term Hydroelectric Scheduling Including

  2. ORIGINAL PAPER Introduction to the Special Issues: Short-term

    E-Print Network [OSTI]

    Olufsen, Mette Sofie

    in short-term cardiovascular­respiratory regulation, (ii) to develop mathematical models that can improve involved in short-term cardio- vascular­respiratory control include auto-regulation of vasculature, controlORIGINAL PAPER Introduction to the Special Issues: Short-term Cardiovascular­Respiratory Control

  3. Short-Term Energy Outlook

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

    Chart Gallery for April 2015 Short-Term Energy Outlook U.S. Energy Information Administration Independent Statistics & Analysis 0 20 40 60 80 100 120 140 160 180 200 220 Jan 2014...

  4. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    day Forecast -1.0 2012 2013 2014 OPEC countries North America Russia and Caspian Sea Latin America North Sea Other Non-OPEC Source: Short-Term Energy Outlook, November 2013 -1 0...

  5. Short-Term Energy Outlook September 2013

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

    day Forecast -0.9 2012 2013 2014 OPEC countries North America Russia and Caspian Sea Latin America North Sea Other Non-OPEC Source: Short-Term Energy Outlook, September 2013 -1...

  6. Electricity storage for short term power system service (Smart...

    Open Energy Info (EERE)

    storage for short term power system service (Smart Grid Project) Jump to: navigation, search Project Name Electricity storage for short term power system service Country Denmark...

  7. SHORT-TERM SOLAR FLARE PREDICTION USING MULTIRESOLUTION PREDICTORS

    SciTech Connect (OSTI)

    Yu Daren; Huang Xin; Hu Qinghua; Zhou Rui [Harbin Institute of Technology, No. 92 West Da-Zhi Street, Harbin, Heilongjiang Province (China); Wang Huaning [National Astronomical Observatories, 20A Datun Road, Chaoyang District, Beijing (China); Cui Yanmei, E-mail: huangxinhit@yahoo.com.c [Center for Space Science and Applied Research, No. 1 Nanertiao, Zhongguancun, Haidian District, Beijing (China)

    2010-01-20T23:59:59.000Z

    Multiresolution predictors of solar flares are constructed by a wavelet transform and sequential feature extraction method. Three predictors-the maximum horizontal gradient, the length of neutral line, and the number of singular points-are extracted from Solar and Heliospheric Observatory/Michelson Doppler Imager longitudinal magnetograms. A maximal overlap discrete wavelet transform is used to decompose the sequence of predictors into four frequency bands. In each band, four sequential features-the maximum, the mean, the standard deviation, and the root mean square-are extracted. The multiresolution predictors in the low-frequency band reflect trends in the evolution of newly emerging fluxes. The multiresolution predictors in the high-frequency band reflect the changing rates in emerging flux regions. The variation of emerging fluxes is decoupled by wavelet transform in different frequency bands. The information amount of these multiresolution predictors is evaluated by the information gain ratio. It is found that the multiresolution predictors in the lowest and highest frequency bands contain the most information. Based on these predictors, a C4.5 decision tree algorithm is used to build the short-term solar flare prediction model. It is found that the performance of the short-term solar flare prediction model based on the multiresolution predictors is greatly improved.

  8. Short-Term Energy Outlook- May 2003

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSettingUncertainties in the3 1 Short-Term

  9. Short-term energy outlook, January 1999

    SciTech Connect (OSTI)

    NONE

    1999-01-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares the Short-Term Energy Outlook (energy supply, demand, and price projections) monthly. The forecast period for this issue of the Outlook extends from January 1999 through December 2000. Data values for the fourth quarter 1998, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the January 1999 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. By varying the assumptions, alternative cases are produced by using the STIFS model. 28 figs., 19 tabs.

  10. Short-term energy outlook, July 1998

    SciTech Connect (OSTI)

    NONE

    1998-07-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares The Short-Term Energy Outlook (energy supply, demand, and price projections) monthly for distribution on the internet at: www.eia.doe.gov/emeu/steo/pub/contents.html. In addition, printed versions of the report are available to subscribers in January, April, July and October. The forecast period for this issue of the Outlook extends from July 1998 through December 1999. Values for second quarter of 1998 data, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the July 1998 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. 28 figs., 19 tabs.

  11. Short-term energy outlook quarterly projections. Third quarter 1997

    SciTech Connect (OSTI)

    NONE

    1997-07-01T23:59:59.000Z

    This document presents the 1997 third quarter short term energy projections. Information is presented for fossil fuels and renewable energy.

  12. Semester, Academic Year and Short Term SUNY Programs

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    Semester, Academic Year and Short Term SUNY Programs: Asia #12;1 Table of Contents How to Use Year 10 Japan Short-term 12 Korea Semester & Academic Year 13 Korea Short-term 17 Programs in Other Contact Information 23 How to Use this Booklet This handout contains listings of all the programs offered

  13. Short-term energy outlook quarterly projections. First quarter 1994

    SciTech Connect (OSTI)

    Not Available

    1994-02-07T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short- term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets.

  14. SPE 124332 (revised) Hierarchical Long-Term and Short-Term Production Optimization

    E-Print Network [OSTI]

    Van den Hof, Paul

    . In our study we used a 3-dimensional reservoir in a fluvial depositional environment with a production at maximizing short-term production. The optimal life-cycle waterflooding strategy that includes short

  15. Short-term energy outlook, April 1999

    SciTech Connect (OSTI)

    NONE

    1999-04-01T23:59:59.000Z

    The forecast period for this issue of the Outlook extends from April 1999 through December 2000. Data values for the first quarter 1999, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the April 1999 version of the Short-Term Integrated forecasting system (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. By varying the assumptions, alternative cases are produced by using the STIFS model. 25 figs., 19 tabs.

  16. Short-Term Test Results: Multifamily Home Energy Efficiency Retrofit

    SciTech Connect (OSTI)

    Lyons, J.

    2013-01-01T23:59:59.000Z

    Multifamily deep energy retrofits (DERs) represent great potential for energy savings, while also providing valuable insights on research-generated efficiency measures, cost-effectiveness metrics, and risk factor strategies for the multifamily housing industry. The Bay Ridge project is comprised of a base scope retrofit with a goal of achieving 30% savings (relative to pre-retrofit), and a DER scope with a goal of 50% savings (relative to pre-retrofit). The base scope has been applied to the entire complex, except for one 12-unit building which underwent the DER scope. Findings from the implementation, commissioning, and short-term testing at Bay Ridge include air infiltration reductions of greater than 60% in the DER building; a hybrid heat pump system with a Savings to Investment Ratio (SIR) > 1 (relative to a high efficiency furnace) which also provides the resident with added incentive for energy savings; and duct leakage reductions of > 60% using an aerosolized duct sealing approach. Despite being a moderate rehab instead of a gut rehab, the Bay Ridge DER is currently projected to achieve energy savings ? 50% compared to pre-retrofit, and the short-term testing supports this estimate.

  17. Short-term energy outlook. Quarterly projections, Third quarter 1994

    SciTech Connect (OSTI)

    Not Available

    1994-08-02T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202). The feature article for this issue is Demand, Supply and Price Outlook for Reformulated Gasoline, 1995.

  18. SUNY Programs: Semester, Academic Year and Short Term

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    SUNY Programs: Italy Semester, Academic Year and Short Term #12;1 Table of Contents How to Use This Booklet 1 A Brief Overview 2 Semester and Academic Year Programs 3 Short Term Programs 8 Contact of programs offered in Italy by SUNY campuses. These listings provide a summary about the basic

  19. SUNY Programs: Semester, Academic Year and Short Term

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    SUNY Programs: France Semester, Academic Year and Short Term #12;1 Table of Contents How to Use This Booklet 1 A Brief Overview 2 Semester and Academic Year Programs 3 Short Term Programs 6 SUNY Programs in Canada and other Francophone Locations 9 Recommended non-SUNY Program 11 Contact Information for all SUNY

  20. Short-term energy outlook, annual supplement 1994

    SciTech Connect (OSTI)

    Not Available

    1994-08-01T23:59:59.000Z

    The Short-Term Energy Outlook Annual Supplement (Supplement) is published once a year as a complement to the Short-Term Energy Outlook (Outlook), Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts.

  1. Short-term energy outlook annual supplement, 1993

    SciTech Connect (OSTI)

    NONE

    1993-08-06T23:59:59.000Z

    The Short-Term Energy Outlook Annual Supplement (supplement) is published once a year as a complement to the Short-Term Energy Outlook (Outlook), Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts.

  2. ORIGINAL CONTRIBUTION Ozone and Short-term Mortality

    E-Print Network [OSTI]

    Dominici, Francesca

    ORIGINAL CONTRIBUTION Ozone and Short-term Mortality in 95 US Urban Communities, 1987-2000 MichelleD E XPOSURE TO TROPOSPHERIC OZONE is widespread in the United States,1,2 occurring also outside southernCalifornia,whereozone formation was first recognized.3 Short- term exposure to ozone has been

  3. Short-term energy outlook. Quarterly projections, Third quarter 1995

    SciTech Connect (OSTI)

    NONE

    1995-08-02T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent projections with those of other forecasting services, and discusses current topics related to the short-term energy markets. The forecast period for this issue of the Outlook extends from the third quarter of 1995 through the fourth quarter of 1996. Values for the second quarter of 1995, however, are preliminary EIA estimates.

  4. Short-term CO? abatement in the European power sector

    E-Print Network [OSTI]

    Delarue, Erik D.

    2008-01-01T23:59:59.000Z

    This paper focuses on the possibilities for short term abatement in response to a CO2 price through fuel switching in the European power sector. The model E-Simulate is used to simulate the electricity generation in Europe ...

  5. A model for short term electric load forecasting

    E-Print Network [OSTI]

    Tigue, John Robert

    1975-01-01T23:59:59.000Z

    A MODEL FOR SHORT TERM ELECTRIC LOAD FORECASTING A Thesis by JOHN ROBERT TIGUE, III Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE May 1975 Major... Subject: Electrical Engineering A MODEL FOR SHORT TERM ELECTRIC LOAD FORECASTING A Thesis by JOHN ROBERT TIGUE& III Approved as to style and content by: (Chairman of Committee) (Head Depart t) (Member) ;(Me r (Member) (Member) May 1975 ABSTRACT...

  6. Instructions for use Short-term Glacier Velocity Changes at West Kunlun

    E-Print Network [OSTI]

    Tsunogai, Urumu

    to global warming could further accelerate glacier15 flow and potentially lead to significant lossInstructions for use #12;Short-term Glacier Velocity Changes at West Kunlun Shan, Northwest Tibet. Abstract Seasonal glacier velocity changes across the High Arctic, including the Green- land Ice Sheet

  7. Short-term energy outlook: Quarterly projections. Second quarter 1995

    SciTech Connect (OSTI)

    NONE

    1995-05-02T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent projections with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.) The forecast period for this issue of the Outlook extends from the second quarter of 1995 through the fourth quarter of 1996. Values for the first quarter of 1995, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data, compiled into the second quarter 1995 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service.

  8. Short-term energy outlook. Volume 2. Methodology

    SciTech Connect (OSTI)

    Not Available

    1982-05-01T23:59:59.000Z

    This volume updates models and forecasting methodologies used and presents information on new developments since November 1981. Chapter discusses the changes in forecasting methodology for motor gasoline demand, electricity sales, coking coal, and other petroleum products. Coefficient estimates, summary statistics, and data sources for many of the short-term energy models are provided. Chapter 3 evaluates previous short-term forecasts for the macroeconomic variables, total energy, petroleum supply and demand, coal consumption, natural gas, and electricity fuel shares. Chapter 4 reviews the relationship of total US energy consumption to economic activity between 1960 and 1981.

  9. Rapid Re-Housing and Short-Term Rental

    E-Print Network [OSTI]

    Snider, Barry B.

    Rapid Re-Housing and Short-Term Rental Vouchers for Homeless Families: Summary Report of a Pilot of numerous reports and publications, such as Bridges and Barriers to Housing for Chronically Homeless Street Dwellers; Accessing Housing: Exploring the Impact of Medical and Substance Abuse Services; The First Two

  10. Short term forecasting of solar radiation based on satellite data

    E-Print Network [OSTI]

    Heinemann, Detlev

    Short term forecasting of solar radiation based on satellite data Elke Lorenz, Annette Hammer University, D-26111 Oldenburg Forecasting of solar irradiance will become a major issue in the future integration of solar energy resources into existing energy supply structures. Fluctuations of solar irradiance

  11. Management and Conservation Short-Term Impacts of Wind Energy

    E-Print Network [OSTI]

    Beck, Jeffrey L.

    Management and Conservation Short-Term Impacts of Wind Energy Development on Greater Sage associated with wind energy development on greater sage-grouse populations. We hypothesized that greater sage-grouse nest, brood, and adult survival would decrease with increasing proximity to wind energy infrastructure

  12. Short-Term Energy Outlook: Quarterly projections. Fourth quarter 1993

    SciTech Connect (OSTI)

    Not Available

    1993-11-05T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.) The forecast period for this issue of the Outlook extends from the fourth quarter of 1993 through the fourth quarter of 1994. Values for the third quarter of 1993, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data are EIA data published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications.

  13. Short-term energy outlook. Quarterly projections, second quarter 1996

    SciTech Connect (OSTI)

    NONE

    1996-04-01T23:59:59.000Z

    The Energy Information Administration prepares quarterly, short-term energy supply, demand, and price projections. The forecasts in this issue cover the second quarter of 1996 through the fourth quarter of 1997. Changes to macroeconomic measures by the Bureau of Economic Analysis have been incorporated into the STIFS model used.

  14. Short-term energy outlook quarterly projections: First quarter 1993

    SciTech Connect (OSTI)

    Not Available

    1993-02-03T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.). The forecast period for this issue of the Outlook extends from the first quarter of 1993 through the fourth quarter of 1994. Values for the fourth quarter of 1992, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data are EIA data published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding.

  15. Short-term energy outlook: Quarterly projections, Third quarter 1992

    SciTech Connect (OSTI)

    Not Available

    1992-08-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.) The principal users of the Outlook are managers and energy analysts in private industry and government. The forecast period for this issue of the Outlook extends from the third quarter of 1992 through the fourth quarter of 1993. Values for the second quarter of 1992, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data are EIA data published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding.

  16. Short-term energy outlook, Quarterly projections. Third quarter 1993

    SciTech Connect (OSTI)

    NONE

    1993-08-04T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.) The forecast period for this issue of the Outlook extends from the third quarter of 1993 through the fourth quarter of 1994. Values for the second quarter of 1993, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data are EIA data published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding.

  17. Word learning, phonological short-term memory, phonotactic probability and

    E-Print Network [OSTI]

    Gupta, Prahlad

    for thinking about various types of studies of word learning. We then review a number of themes that in recent as a useful organizing scheme for thinking about various types of studies of word learning. In §2, we reviewWord learning, phonological short-term memory, phonotactic probability and long-term memory

  18. ANALYSIS OF SHORT-TERM SOLAR RADIATION DATA Gayathri Vijayakumar

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    ANALYSIS OF SHORT-TERM SOLAR RADIATION DATA Gayathri Vijayakumar Sanford A. Klein William A beckman@engr.wisc.edu ABSTRACT Solar radiation data are available for many locations on an hourly basis annual performance, although solar radiation can exhibit wide variations during an hour. Variations

  19. Future stand conditions: Short term: Many aspen whips will sprout

    E-Print Network [OSTI]

    Future stand conditions: Short term: Many aspen whips will sprout from the roots of cut trees. Pine, aspen, birch, and basswood. What's Going on Here? Active management is being used to fulfill trees (aspen and birch) Economic goals: Generate revenue to help maintain the forest, trails and other

  20. Short-Term Solar Energy Forecasting Using Wireless Sensor Networks

    E-Print Network [OSTI]

    Cerpa, Alberto E.

    Short-Term Solar Energy Forecasting Using Wireless Sensor Networks Stefan Achleitner, Tao Liu an advantage for output power prediction. Solar Energy Prediction System Our prediction model is based variability of more then 100 kW per minute. For practical usage of solar energy, predicting times of high

  1. SHORT-TERM GENERATION ASSET VALUATION: A REAL OPTIONS APPROACH

    E-Print Network [OSTI]

    Tseng, Chung-Li

    using real options to value power plants with unit commitment constraints over a short-term period. We forward-moving Monte Carlo simulation with backward-moving dynamic programming. We assume that the power significantly overvalue a power plant. With deregulation of the electricity industry a global trend, utilities

  2. RESEARCH ARTICLE Empirical assessment of short-term variability from

    E-Print Network [OSTI]

    -term variability; PV plant ramp rate; daily aggregate ramp rate; inverter shells *Correspondence Rob van HaarenRESEARCH ARTICLE Empirical assessment of short-term variability from utility-scale solar PV plants and the output from 390 inverters. We use a simple metric, "daily aggregate ramp rate" to quantify, categorize

  3. ASPECT OBJECTIVE SHORT TERM TARGET by 2015 (unless otherwise stated)

    E-Print Network [OSTI]

    Chittka, Lars

    the remainder. Completion of Waste Management Strategy by the end of 2012. Implementation of the short term actions of the WMS by 2015 and long term actions by 2020. Development of a Waste Management Strategy (WMS costs per student (FTE). Estates and Facilities and Sustainability Committee 3 Energy consumed and used

  4. SUNY Programs: Semester, Academic Year and Short Term

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    SUNY Programs: Spain Semester, Academic Year and Short Term #12;1 Table of Contents How to Use of programs offered in Spain by SUNY campuses. These listings provide a summary about the characteristics by the SUNY campuses in Spain. In addition, there are some excellent programs in Spain outside the SUNY system

  5. analyzing short-term noise: Topics by E-print Network

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

    122 Short term effects of moderate carbon prices on land use in the New Zealand emissions trading Environmental Sciences and Ecology Websites Summary: Short term effects of...

  6. Measuring Short-term Air Conditioner Demand Reductions for Operations and Settlement

    E-Print Network [OSTI]

    Bode, Josh

    2013-01-01T23:59:59.000Z

    Measuring Short-term Air Conditioner Demand Reductions forMeasuring Short-term Air Conditioner Demand Reductions forpilots have shown that air conditioner (AC) electric loads

  7. SULFURIC ACID REMOVAL PROCESS EVALUATION: SHORT-TERM RESULTS

    SciTech Connect (OSTI)

    Gary M. Blythe; Richard McMillan

    2002-03-04T23:59:59.000Z

    The objective of this project is to demonstrate the use of alkaline reagents injected into the furnace of coal-fired boilers as a means of controlling sulfuric acid emissions. Sulfuric acid controls are becoming of increasing interest to utilities with coal-fired units for a number of reasons. Sulfuric acid is a Toxic Release Inventory species, a precursor to acid aerosol/condensable emissions, and can cause a variety of plant operation problems such as air heater plugging and fouling, back-end corrosion, and plume opacity. These issues will likely be exacerbated with the retrofit of SCR for NOX control on some coal-fired plants, as SCR catalysts are known to further oxidize a portion of the flue gas SO{sub 2} to SO{sub 3}. The project is testing the effectiveness of furnace injection of four different calcium- and/or magnesium-based alkaline sorbents on full-scale utility boilers. These reagents have been tested during four one- to two-week tests conducted on two FirstEnergy Bruce Mansfield Plant units. One of the sorbents tested was a magnesium hydroxide slurry produced from a wet flue gas desulfurization system waste stream, from a system that employs a Thiosorbic{reg_sign} Lime scrubbing process. The other three sorbents are available commercially and include dolomite, pressure-hydrated dolomitic lime, and commercial magnesium hydroxide. The dolomite reagent was injected as a dry powder through out-of-service burners, while the other three reagents were injected as slurries through air-atomizing nozzles into the front wall of upper furnace, either across from the nose of the furnace or across from the pendant superheater tubes. After completing the four one- to two-week tests, the most promising sorbents were selected for longer-term (approximately 25-day) full-scale tests. The longer-term tests are being conducted to confirm the effectiveness of the sorbents tested over extended operation and to determine balance-of-plant impacts. This reports presents the results of the short-term tests; the long-term test results will be reported in a later document. The short-term test results showed that three of the four reagents tested, dolomite powder, commercial magnesium hydroxide slurry, and byproduct magnesium hydroxide slurry, were able to achieve 90% or greater removal of sulfuric acid compared to baseline levels. The molar ratio of alkali to flue gas sulfuric acid content (under baseline conditions) required to achieve 90% sulfuric acid removal was lowest for the byproduct magnesium hydroxide slurry. However, this result may be confounded because this was the only one of the three slurries tested with injection near the top of the furnace across from the pendant superheater platens. Injection at the higher level was demonstrated to be advantageous for this reagent over injection lower in the furnace, where the other slurries were tested.

  8. SULFURIC ACID REMOVAL PROCESS EVALUATION: SHORT-TERM RESULTS

    SciTech Connect (OSTI)

    Gary M. Blythe; Richard McMillan

    2002-02-04T23:59:59.000Z

    The objective of this project is to demonstrate the use of alkaline reagents injected into the furnace of coal-fired boilers as a means of controlling sulfuric acid emissions. Sulfuric acid controls are becoming of increasing interest to utilities with coal-fired units for a number of reasons. Sulfuric acid is a Toxic Release Inventory species, a precursor to acid aerosol/condensable emissions, and can cause a variety of plant operation problems such as air heater plugging and fouling, back-end corrosion, and plume opacity. These issues will likely be exacerbated with the retrofit of SCR for NO{sub x} control on some coal-fired plants, as SCR catalysts are known to further oxidize a portion of the flue gas SO{sub 2} to SO{sub 3}. The project is testing the effectiveness of furnace injection of four different calcium- and/or magnesium-based alkaline sorbents on full-scale utility boilers. These reagents have been tested during four one- to two-week tests conducted on two First Energy Bruce Mansfield Plant units. One of the sorbents tested was a magnesium hydroxide slurry produced from a wet flue gas desulfurization system waste stream, from a system that employs a Thiosorbic{reg_sign} Lime scrubbing process. The other three sorbents are available commercially and include dolomite, pressure-hydrated dolomitic lime, and commercial magnesium hydroxide. The dolomite reagent was injected as a dry powder through out-of-service burners, while the other three reagents were injected as slurries through air-atomizing nozzles into the front wall of upper furnace, either across from the nose of the furnace or across from the pendant superheater tubes. After completing the four one- to two-week tests, the most promising sorbents were selected for longer-term (approximately 25-day) full-scale tests. The longer-term tests are being conducted to confirm the effectiveness of the sorbents tested over extended operation and to determine balance-of-plant impacts. This reports presents the results of the short-term tests; the long-term test results will be reported in a later document. The short-term test results showed that three of the four reagents tested, dolomite powder, commercial magnesium hydroxide slurry, and byproduct magnesium hydroxide slurry, were able to achieve 90% or greater removal of sulfuric acid compared to baseline levels. The molar ratio of alkali to flue gas sulfuric acid content (under baseline conditions) required to achieve 90% sulfuric acid removal was lowest for the byproduct magnesium hydroxide slurry. However, this result may be confounded because this was the only one of the three slurries tested with injection near the top of the furnace across from the pendant superheater platens. Injection at the higher level was demonstrated to be advantageous for this reagent over injection lower in the furnace, where the other slurries were tested.

  9. Short-term energy outlook. Quarterly projections, first quarter 1995

    SciTech Connect (OSTI)

    Not Available

    1995-02-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). The forecast period for this issue of the Outlook extends from the first quarter of 1995 through the fourth quarter of 1996. Values for the fourth quarter of 1994, however, are preliminary EIA estimates or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data, compiled into the first quarter 1995 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service. The cases are produced using the Short-Term Integrated Forecasting System (STIFS). The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. The EIA model is available on computer tape from the National Technical Information Service.

  10. Short-term energy outlook: Quarterly projections, fourth quarter 1997

    SciTech Connect (OSTI)

    NONE

    1997-10-14T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly short-term energy supply, demand, and price projections for printed publication in January, April, July, and October in the Short-Term Energy Outlook. The details of these projections, as well as monthly updates on or about the 6th of each interim month, are available on the internet at: www.eia.doe.gov/emeu/steo/pub/contents.html. The forecast period for this issue of the Outlook extends from the fourth quarter of 1997 through the fourth quarter of 1998. Values for the fourth quarter of 1997, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the fourth quarter 1997 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. 19 tabs.

  11. Short term generation scheduling in photovoltaic-utility grid with battery storage

    SciTech Connect (OSTI)

    Marwali, M.K.C.; Ma, H.; Shahidehpour, S.M. [Illinois Inst. of Tech., Chicago, IL (United States). Dept. of Electrical and Computer Engineering] [Illinois Inst. of Tech., Chicago, IL (United States). Dept. of Electrical and Computer Engineering; Abdul-Rahman, K.H. [Siemens Energy and Automation, Brooklyn Park, MN (United States)] [Siemens Energy and Automation, Brooklyn Park, MN (United States)

    1998-08-01T23:59:59.000Z

    This paper presents an efficient approach to short term resource scheduling for an integrated thermal and photovoltaic-battery generation. The proposed model incorporated battery storage for peak load shaving. Several constraints including battery capacity, minimum up/down time and ramp rates for thermal units, as well as natural photovoltaic (PV) capacity are considered in the proposed model. A case study composed of 26 thermal units and a PV-battery plant is presented to test the efficiency of the method.

  12. Short-term measurements for the determination of envelope retrofit performance

    SciTech Connect (OSTI)

    Subbarao, K.; Mort, D.; Burch, J.

    1985-06-01T23:59:59.000Z

    Short-term monitoring for estimating thermal parameters of a building, along with an analytical technique to (1) determine the long-term performance and (2) calculate the parameters from a building description, has many valuable applications, which include energy ratings, diagnostics, and retrofit analysis. In this paper we address issues relating to reducing uncertainties in estimating thermal parameters with emphasis on retrofit applications. In general, it is necessary to impose a known heat flow with a suitable profile to reliably estimate the parameters. This is demonstrated with test cell measurements taken before and after changes were made to the test cell. The eventual goal of this project is to develop a practical methodology to determine long-term retrofit performance from short-term tests.

  13. Short-term energy outlook: Quarterly projections, second quarter 1997

    SciTech Connect (OSTI)

    NONE

    1997-04-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly short-term energy supply, demand, and price projections for publication in January, April, July, and October in the Outlook. The forecast period for this issue of the Outlook extends from the second quarter of 1997 through the fourth quarter of 1998. Values for the first quarter of 1997, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the second quarter 1997 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. By varying the assumptions, alternative cases are produced by using the Short-Term Integrated Forecasting System (STIFS). 34 figs., 19 tabs.

  14. Short-term energy outlook. Quarterly projections, first quarter 1996

    SciTech Connect (OSTI)

    NONE

    1996-02-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Outlook. The forecast period for this issue of the Outlook extends from the first quarter of 1996 through the fourth quarter of 1997. Values for the fourth quarter of 1995, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data, compiled into the first quarter 1996 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service. The cases are produced using the Short-Term Integrated Forecasting System (STIFS). The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook.

  15. Short-term energy outlook, quarterly projections, second quarter 1998

    SciTech Connect (OSTI)

    NONE

    1998-04-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly short-term energy supply, demand, and price projections. The details of these projections, as well as monthly updates, are available on the Internet at: www.eia.doe.gov/emeu/steo/pub/contents.html. The paper discusses outlook assumptions; US energy prices; world oil supply and the oil production cutback agreement of March 1998; international oil demand and supply; world oil stocks, capacity, and net trade; US oil demand and supply; US natural gas demand and supply; US coal demand and supply; US electricity demand and supply; US renewable energy demand; and US energy demand and supply sensitivities. 29 figs., 19 tabs.

  16. Energy Information Administration/Short-Term Energy Outlook - August 2005

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarkets EnergyConsumption5 1 Short-Term Energy

  17. Energy Information Administration/Short-Term Energy Outlook - February 2005

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarkets EnergyConsumption5 1 Short-Term

  18. Energy Information Administration/Short-Term Energy Outlook - January 2005

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarkets EnergyConsumption5 1 Short-TermJanuary

  19. Energy Information Administration/Short-Term Energy Outlook - June 2005

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarkets EnergyConsumption5 15 1 Short-Term

  20. Energy Information Administration/Short-Term Energy Outlook - May 2005

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarkets EnergyConsumption5 15 1 Short-Term5 1

  1. Energy Information Administration/Short-Term Energy Outlook - October 2005

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarkets EnergyConsumption5 15 1 Short-Term5 15 1

  2. Energy Information Administration/Short-Term Energy Outlook - September 2005

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarkets EnergyConsumption5 15 1 Short-Term5 15

  3. Short-Term Energy and Winter Fuels Outlook October 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSettingUncertainties in the3 1 Short-Term3 1

  4. Short-term energy outlook. Quarterly projections, third quarter 1996

    SciTech Connect (OSTI)

    NONE

    1996-07-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in January, April, July, and October in the Outlook. The forecast period for this issue of the Outlook extends from the third quarter of 1996 through the fourth quarter of 1997. Values for the second quarter of 1996, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data, compiled in the third quarter 1996 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service.

  5. Short-term energy outlook, Annual supplement 1995

    SciTech Connect (OSTI)

    NONE

    1995-07-25T23:59:59.000Z

    This supplement is published once a year as a complement to the Short- Term Energy Outlook, Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts. Chap. 2 analyzes the response of the US petroleum industry to the recent four Federal environmental rules on motor gasoline. Chap. 3 compares the EIA base or mid case energy projections for 1995 and 1996 (as published in the first quarter 1995 Outlook) with recent projections made by four other major forecasting groups. Chap. 4 evaluates the overall accuracy. Chap. 5 presents the methology used in the Short- Term Integrated Forecasting Model for oxygenate supply/demand balances. Chap. 6 reports theoretical and empirical results from a study of non-transportation energy demand by sector. The empirical analysis involves the short-run energy demand in the residential, commercial, industrial, and electrical utility sectors in US.

  6. Short-Term Energy Outlook Supplement: Uncertainties in the Short-Term Global Petroleum and Other Liquids Supply Forecast

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSettingUncertainties in the Short-Term

  7. Short-Term Energy Monitoring (STEM): Application of the PSTAR method to a residence in Fredericksburg, Virginia

    SciTech Connect (OSTI)

    Subbarao, K.; Burch, J.D.; Hancock, C.E.; Lekov, A.; Balcomb, J.D.

    1988-09-01T23:59:59.000Z

    This report describes a project to assess the thermal quality of a residential building based on short-term tests during which a small number of data channels are measured. The project is called Short- Term Energy Monitoring (STEM). Analysis of the data provides extrapolation to long-term performance. The test protocol and analysis are based on a unified method for building simulations and short-term testing called Primary and Secondary Terms Analysis and Renormalization (PSTAR). In the PSTAR method, renormalized parameters are introduced for the primary terms such that the renormalized energy balance is best satisfied in the least squares sense; hence, the name PSTAR. The mathematical formulation of PSTAR is detailed in earlier reports. This report describes the short-term tests and data analysis performed using the PSTAR method on a residential building in Fredricksburg, Virginia. The results demonstrate the ability of the PSTAR method to provide a realistically complex thermal model of a building, and determine from short-term tests the statics as well as the dynamics of a building, including solar dynamics. 10 refs., 12 figs., 2 tabs.

  8. aneurysm repair short-term: Topics by E-print Network

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

    is socially excessive. The empirical analysis shows that the short-term debt to reserves ratio is a robust predictor of -nancial crises, and that greater short-term...

  9. Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model (Released in the STEO March 1998)

    Reports and Publications (EIA)

    1998-01-01T23:59:59.000Z

    The blending of oxygenates, such as fuel ethanol and methyl tertiary butyl ether (MTBE), into motor gasoline has increased dramatically in the last few years because of the oxygenated and reformulated gasoline programs. Because of the significant role oxygenates now have in petroleum product markets, the Short-Term Integrated Forecasting System (STIFS) was revised to include supply and demand balances for fuel ethanol and MTBE. The STIFS model is used for producing forecasts in the Short-Term Energy Outlook. A review of the historical data sources and forecasting methodology for oxygenate production, imports, inventories, and demand is presented in this report.

  10. Short-term exploitative competition can explain human foraging patterns

    E-Print Network [OSTI]

    Saavedra, Serguei; Switanek, Nicholas; Uzzi, Brian

    2012-01-01T23:59:59.000Z

    Theory purports that animal foraging choices evolve to maximize returns, such as net energy intake. Empirical research in both human and nonhuman animals reveals that many times foraging choices are context dependent and affected by the foraging choices of others. Yet, broad empirical facts on the link between optimal foraging patterns, competition and context-dependent information are only now emerging due to the complication of gathering field data or constructing experiments. Here, we analyze foraging choices by a cohort of professional day traders who face the trade-off of trading the same stock multiple times in a row---patch exploitation---or switching to a different stock---patch exploration---with potentially higher returns. Our findings indicate that traders' foraging patterns are characterized by short-term comparative returns that decrease in proportion to patch exploitation and exploration, a novel measure that captures the difference between a trader's resource intake and the competitors' expecte...

  11. Short-term planning and forecasting for petroleum. Master's thesis

    SciTech Connect (OSTI)

    Elkins, R.D.

    1988-06-01T23:59:59.000Z

    The Defense Fuel Supply Center (DFSC) has, in recent past, been unable to adequately forecast for short-term petroleum requirements. This has resulted in inaccurate replenishment quantities and required short-notice corrections, which interrupted planned resupply methods. The relationship between the annual CINCLANTFLT DFM budget and sales from the the Norfolk Defense Fuel Support Point (DFSP) is developed and the past sales data from the Norfolk DFSP is used to construct seasonality indices. Finally, the budget/sales relationship is combined with the seasonality indices to provide a new forecasting model. The model is then compared with the current one for FY-88 monthly forecasts. The comparison suggests that the new model can provide accurate, timely requirements data and improve resupply of the Norfolk Defense Fuel Support Point.

  12. Neurocomputing 70 (2007) 16261629 A biophysical model of short-term plasticity at the calyx of Held

    E-Print Network [OSTI]

    Graham, Bruce

    2007-01-01T23:59:59.000Z

    dynamics, which include passive and activity-dependent recycling, calcium-dependent exocytosis activity-dependent vesicle recycling and a limited number of vesicle docking sites at each active zone. r- and postsynaptic factors. Earlier work has led to the vesicle depletion model for short-term synaptic depression

  13. Short-term energy outlook, quarterly projections, first quarter 1998

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    The forecast period for this issue of the Outlook extends from the first quarter of 1998 through the fourth quarter of 1999. Values for the fourth quarter of 1997, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the first quarter 1998 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are adjusted by EIA to reflect EIA assumptions which may affect the macroeconomic outlook. By varying the assumptions, alternative cases are produced by using the STIFS model. 24 figs., 19 tabs.

  14. Methodology for Analyzing Energy and Demand Savings From Energy Services Performance Contract Using Short-Term Data

    E-Print Network [OSTI]

    Liu, Z.; Haberl, J. S.; Cho, S.; Lynn, B.; Cook, M.

    2006-01-01T23:59:59.000Z

    . New methods, which were developed to measure hourly demand savings from short-term data, were also discussed. INTRODUCTION The Fort Hood Army Base has selected an Energy Services Performance Contract (ESPC) contractor to help achieve its... energy reduction goals as mandated by Executive Order. This ESPC is expected to be a $3.8 million, 20 year contract, which includes five primary types of Energy Conservation Measures (ECMs) in 58 buildings, including: boiler insulation, control...

  15. Use of short-term test systems for the prediction of the hazard represented by potential chemical carcinogens

    SciTech Connect (OSTI)

    Glass, L.R.; Jones, T.D.; Easterly, C.E.; Walsh, P.J.

    1990-10-01T23:59:59.000Z

    It has been hypothesized that results from short-term bioassays will ultimately provide information that will be useful for human health hazard assessment. Historically, the validity of the short-term tests has been assessed using the framework of the epidemiologic/medical screens. In this context, the results of the carcinogen (long-term) bioassay is generally used as the standard. However, this approach is widely recognized as being biased and, because it employs qualitative data, cannot be used to assist in isolating those compounds which may represent a more significant toxicologic hazard than others. In contrast, the goal of this research is to address the problem of evaluating the utility of the short-term tests for hazard assessment using an alternative method of investigation. Chemicals were selected mostly from the list of carcinogens published by the International Agency for Research on Carcinogens (IARC); a few other chemicals commonly recognized as hazardous were included. Tumorigenicity and mutagenicity data on 52 chemicals were obtained from the Registry of Toxic Effects of Chemical Substances (RTECS) and were analyzed using a relative potency approach. The data were evaluated in a format which allowed for a comparison of the ranking of the mutagenic relative potencies of the compounds (as estimated using short-term data) vs. the ranking of the tumorigenic relative potencies (as estimated from the chronic bioassays). Although this was a preliminary investigation, it offers evidence that the short-term tests systems may be of utility in ranking the hazards represented by chemicals which may contribute to increased carcinogenesis in humans as a result of occupational or environmental exposures. 177 refs., 8 tabs.

  16. Short-term Variations in the Galactic Environment of the Sun

    E-Print Network [OSTI]

    Priscilla C. Frisch; Jonathan D. Slavin

    2006-01-17T23:59:59.000Z

    The galactic environment of the Sun varies over short timescales as the Sun and interstellar clouds travel through space. Small variations in the dynamics, ionization, density, and magnetic field strength of the interstellar medium (ISM) surrounding the Sun yield pronounced changes in the heliosphere. We discuss essential information required to understand short-term variations in the galactic environment of the Sun, including the distribution and radiative transfer properties of nearby ISM, and variations in the boundary conditions of the heliosphere as the Sun traverses clouds. The most predictable transitions are when the Sun emerged from the Local Bubble interior and entered the cluster of local interstellar clouds flowing past the Sun, within the past 140,000 years, and again when the Sun entered the local interstellar cloud now surrounding and inside of the solar system, sometime during the past 44,000 years.

  17. Short term thermal energy storage Institut fr Kernenergetik und Energiesysteme, University of Stuttgart, Stuttgart, FRG

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    477 Short term thermal energy storage A. Abhat Institut für Kernenergetik und Energiesysteme the problem of short term thermal energy storage for low temperature solar heating applications. The techniques of sensible and latent heat storage are discussed, with particular emphasis on the latter

  18. Premium Ventilation Package Testing Short-Term Monitoring Report Task 7

    E-Print Network [OSTI]

    Premium Ventilation Package Testing Short-Term Monitoring Report ­ Task 7 Review Draft Submittal. 00038702 RTU AirCarePlus & Premium Ventilation Program COTR - Jack Callahan (503) 230-4496 / jmcallahan Ventilation Package Testing PECI Short-Term Monitoring Report ­ Task 7 REVIEW DRAFT: 9/14/2009 2 Table

  19. ANN-based Short-Term Load Forecasting in Electricity Markets

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    ANN-based Short-Term Load Forecasting in Electricity Markets Hong Chen Claudio A. Ca~nizares Ajit1 Abstract--This paper proposes an Artificial Neu- ral Network (ANN)-based short-term load forecasting, electricity markets, spot prices, Artificial Neural Networks (ANN) I. Introduction Short

  20. Short-Term Generation Asset Valuation Chung-Li Tseng, Graydon Barz

    E-Print Network [OSTI]

    Short-Term Generation Asset Valuation Chung-Li Tseng, Graydon Barz Department of Civil Engineering 94305, USA chungli@eng.umd.edu, gbarz@leland.stanford.edu Abstract In this paper we present a method for valuing a power plant over a short-term period using Monte Carlo sim- ulation. The power plant valuation

  1. When Do I Report a Short Term Disability Claim?

    E-Print Network [OSTI]

    Weaver, Harold A. "Hal"

    the patient may include information relating to any advice, diagnosis, prognosis, treatment or care of my, prescriptions or treatment, including x-ray plates and hospital records, records of drug or alcohol abuse and treatment, communicable disease, Human Immunodeficiency Syndrome (HIV), or Acquired Immune Deficiency

  2. An Exploration of Participant Motives and Motivational Tensions in Short-Term Medical Service Trips

    E-Print Network [OSTI]

    Sykes, Kevin James

    2014-05-31T23:59:59.000Z

    Short-term medical service trips (MSTs) are an increasingly popular, although not new, way for healthcare providers from high-income countries (HICs) to provide healthcare in low- and middle-income countries (LMICs). In ...

  3. SHORT-TERM FORECASTING OF SOLAR RADIATION BASED ON SATELLITE DATA WITH STATISTICAL METHODS

    E-Print Network [OSTI]

    Heinemann, Detlev

    SHORT-TERM FORECASTING OF SOLAR RADIATION BASED ON SATELLITE DATA WITH STATISTICAL METHODS Annette governing the insolation, forecasting of solar radiation makes the description of development of the cloud

  4. Evaluation of forecasting techniques for short-term demand of air transportation

    E-Print Network [OSTI]

    Wickham, Richard Robert

    1995-01-01T23:59:59.000Z

    Forecasting is arguably the most critical component of airline management. Essentially, airlines forecast demand to plan the supply of services to respond to that demand. Forecasts of short-term demand facilitate tactical ...

  5. Short-term Migration, Rural Workfare Programs and Urban Labor Markets: Evidence from India

    E-Print Network [OSTI]

    Bandyopadhyay, Antar

    , a simple calibration exercise reveals that small changes in short-term migration can have large impacts of migration in developing countries (Banerjee and Duo, 2007; Badiani and Sar, 2009; Morten, 2012). In 2007

  6. Short-Term Effects of Air Pollution on Wheeze in Asthmatic Children in Fresno, California

    E-Print Network [OSTI]

    2010-01-01T23:59:59.000Z

    Short-Term Effects of Air Pollution on Wheeze in Asthmaticchanges in ambient air pollution. Our data suggest the need2004. The effect of air pollution on lung development from

  7. Long vs. short-term energy storage:sensitivity analysis.

    SciTech Connect (OSTI)

    Schoenung, Susan M. (Longitude 122 West, Inc., Menlo Park, CA); Hassenzahl, William V. (,Advanced Energy Analysis, Piedmont, CA)

    2007-07-01T23:59:59.000Z

    This report extends earlier work to characterize long-duration and short-duration energy storage technologies, primarily on the basis of life-cycle cost, and to investigate sensitivities to various input assumptions. Another technology--asymmetric lead-carbon capacitors--has also been added. Energy storage technologies are examined for three application categories--bulk energy storage, distributed generation, and power quality--with significant variations in discharge time and storage capacity. Sensitivity analyses include cost of electricity and natural gas, and system life, which impacts replacement costs and capital carrying charges. Results are presented in terms of annual cost, $/kW-yr. A major variable affecting system cost is hours of storage available for discharge.

  8. Characterizing short-term stability for Boolean networks over any distribution of transfer functions

    E-Print Network [OSTI]

    C. Seshadhri; Andrew M. Smith; Yevgeniy Vorobeychik; Jackson Mayo; Robert C. Armstrong

    2014-09-15T23:59:59.000Z

    We present a characterization of short-term stability of random Boolean networks under \\emph{arbitrary} distributions of transfer functions. Given any distribution of transfer functions for a random Boolean network, we present a formula that decides whether short-term chaos (damage spreading) will happen. We provide a formal proof for this formula, and empirically show that its predictions are accurate. Previous work only works for special cases of balanced families. It has been observed that these characterizations fail for unbalanced families, yet such families are widespread in real biological networks.

  9. Short-term effects of Gamma Ray Bursts on oceanic photosynthesis

    E-Print Network [OSTI]

    Penate, Liuba; Cardenas, Rolando; Agusti, Susana

    2010-01-01T23:59:59.000Z

    We continue our previous work on the potential short-term influence of a gamma ray bursts on Earth's biosphere, focusing on the only important short-term effect on life: the ultraviolet flash which occurs as a result of the retransmission of the {\\gamma} radiation through the atmosphere. Thus, in this work we calculate the ultraviolet irradiances penetrating the first hundred meters of the water column, for Jerlov's ocean water types I, II and III. Then we estimate the UV flash potential for photosynthesis inhibition, showing that it can be important in a considerable part of the water column with light enough for photosynthesis to be done, the so called photic zone.

  10. Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests, Final Report

    E-Print Network [OSTI]

    Reddy, T. A.; Elleson, J.; Haberl, J. S.

    2000-01-01T23:59:59.000Z

    This is the final report for ASHRAE Research Project 1004-RP: Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests. This report presents the results of the development and application of the methodology to Case Study #2...

  11. Short term effects of moderate carbon prices on land use in the New Zealand emissions trading

    E-Print Network [OSTI]

    Silver, Whendee

    Short term effects of moderate carbon prices on land use in the New Zealand emissions trading Zealand Emissions Trading Scheme (NZ ETS) was introduced through the Climate Change Response Act............................................................................ 14 #12;1 1 Introduction The New Zealand Emissions Trading Scheme (NZ ETS) was legislated through

  12. Short-term and long-term reliability studies in the deregulated power systems

    E-Print Network [OSTI]

    Li, Yishan

    2006-04-12T23:59:59.000Z

    for the new structure to maintain system reliability. Power system reliability is comprised of two basic components, adequacy and security. In terms of the time frame, power system reliability can mean short-term reliability or long-term reliability. Short...

  13. Longitudinal Analysis of Short term Bronchiolitis Air Pollution Association using Semi Parametric Models

    E-Print Network [OSTI]

    Mesbah, Mounir

    1 Longitudinal Analysis of Short term Bronchiolitis Air Pollution Association using Semi Parametric of ambient air pollution on infant bronchiolitis hospital consultations. Infant bronchiolitis is a frequent pollution, semi parametric models. 1.1 Introduction Time-series studies of air pollution and health

  14. SHORT-TERM THERMAL RESISTANCE OF ZOEAE OF 10 SPECIES OF CRABS FROM PUGET SOUND, WASHINGTON

    E-Print Network [OSTI]

    SHORT-TERM THERMAL RESISTANCE OF ZOEAE OF 10 SPECIES OF CRABS FROM PUGET SOUND, WASHINGTON BENJAMIN to protect the most sensitive species studied is 24OC for the Puget Sound area. Thermal resistance of marine species of Puget INorthwest and Alaska Fisheries Center, National Marine Fisheries Service, NOAA, 2725

  15. Ethical Considerations for Short-term Experiences by Trainees in Global Health

    E-Print Network [OSTI]

    Tipple, Brett

    -constrained health care set- tings, trainees from resource-replete environments may have inflated ideas aboutCOMMENTARY Ethical Considerations for Short-term Experiences by Trainees in Global Health John A. Crump, MB, ChB, DTM&H Jeremy Sugarman, MD, MPH, MA A CADEMIC GLOBAL HEALTH PROGRAMS ARE BURGEON- ing.1

  16. Managing Short-Term Electricity Contracts Under Uncertainty: A Minimax Approach

    E-Print Network [OSTI]

    Ahmed, Shabbir

    Managing Short-Term Electricity Contracts Under Uncertainty: A Minimax Approach Samer Takriti Heights, New York 10598, USA, takriti@us.ibm.com School of Industrial & Systems Engineering, Georgia Institute of Technology, 765 Ferst Drive, Atlanta, Georgia 30332, USA, sahmed@isye.gatech.edu. The work

  17. PRIMARY RESEARCH PAPER Short-term responses of decomposers to flow restoration

    E-Print Network [OSTI]

    LeRoy, Carri J.

    most stream restoration projects, lack pre-restoration data and clearly defined goals, making et al., 2005; Bernhardt et al., 2005). Biotic recovery in response to stream restoration can be rapidPRIMARY RESEARCH PAPER Short-term responses of decomposers to flow restoration in Fossil Creek

  18. Short-term Forecasting of Offshore Wind Farm Production Developments of the Anemos Project

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Short-term Forecasting of Offshore Wind Farm Production ­ Developments of the Anemos Project J to the large dimensions of offshore wind farms, their electricity production must be known well in advance networks) models were calibrated on power data from two offshore wind farms: Tunoe and Middelgrunden

  19. Short-Term Hurricane Impacts on a Neotropical Community of Marked Birds and Implications for Early-

    E-Print Network [OSTI]

    Winker, Kevin

    Short-Term Hurricane Impacts on a Neotropical Community of Marked Birds and Implications for Early- Stage Community Resilience Andrew B. Johnson1,2 , Kevin Winker1 * 1 University of Alaska Museum birds, following this community through the catastrophic destruction of its forest habitat by Hurricane

  20. Behavioral/Systems/Cognitive Short-Term Synaptic Depression Causes a Non-Monotonic

    E-Print Network [OSTI]

    Parga, Néstor

    Behavioral/Systems/Cognitive Short-Term Synaptic Depression Causes a Non-Monotonic Response to the postsynaptic cell because a large fraction of the spikes fail to elicit a synaptic response. In addition, short of incoming spikes as these are first converted into synaptic current and afterward into the cell response

  1. SHORT-TERM EFFECTS OF SOIL AMENDMENT WITH TREE LEGUME BIOMASS ON CARBON AND NITROGEN

    E-Print Network [OSTI]

    Lehmann, Johannes

    SHORT-TERM EFFECTS OF SOIL AMENDMENT WITH TREE LEGUME BIOMASS ON CARBON AND NITROGEN IN PARTICLE-to-N ratio of the added plant material seems to control the eects of soil amendment with tree legume biomass to the total quantity of C and N pre- sent. Physical fractionation of SOM can help to identify more active

  2. SHORT TERM PREDICTIONS FOR THE POWER OUTPUT OF ENSEMBLES OF WIND TURBINES AND PV-GENERATORS

    E-Print Network [OSTI]

    Heinemann, Detlev

    SHORT TERM PREDICTIONS FOR THE POWER OUTPUT OF ENSEMBLES OF WIND TURBINES AND PV-GENERATORS Hans the state of the art of power predictios for wind and solar power plants.with a time horizon of several market there is a need for a forecast of the power production of wind and solar generators with time

  3. Short Term Irradiation Test of Fuel Containing Minor Actinides Using the Experimental Fast Reactor Joyo

    SciTech Connect (OSTI)

    Sekine, Takashi; Soga, Tomonori; Koyama, Shin-ichi; Aoyama, Takafumi [Oarai Research and Development Center, Japan Atomic Energy Agency. 4002 Narita, Oarai, Ibaraki 311-1393 (Japan); Wootan, David [Pacific Northwest National Laboratoy, M/S K8-34, P.O. Box 999 Richland, WA 99352 (United States)

    2007-07-01T23:59:59.000Z

    A mixed oxide containing minor actinides (MA-MOX) fuel irradiation program is being conducted using the experimental fast rector Joyo of the Japan Atomic Energy Agency to research early thermal behavior of MA-MOX fuel. Two irradiation experiments were conducted as part of the short-term phase of this program in May and August 2006. Six prepared fuel pins included MOX fuel containing 3% or 5% americium (Am-MOX), and MOX fuel containing 2% americium and 2% neptunium (Np/Am-MOX). The first test was conducted with high linear heat rates of approximately 430 W/cm maintained during only 10 minutes. After 10 minutes irradiation test, the test subassembly was transferred to the hot cell facility and an Am-MOX pin and a Np/Am-MOX pin were replaced with dummy pins with neutron dosimeters. The test subassembly loaded with the remaining four fuel pins was re-irradiated in Joyo for 24-hours in August 2006 at nearly the same linear power to obtain re-distribution data on MA-MOX fuel. The linear heat rate for each MA-MOX test fuel pin was calculated using the Monte Carlo calculation code MCNP. The calculated fission rates were compared with the measured data based on the Nd-148 method. The maximum linear heat rate was approximately 444{+-}19 W/cm at the actual reactor power of 119.6 MWt. Post irradiation examination of these pins to confirm the absence of fuel melting and the local concentration under irradiation of NpO{sub 2-x} or AmO{sub 2-x}, in the (U,Pu)0{sub 2-x}, fuel are underway. The test results are expected to reduce uncertainties on the margin in the thermal design for MA-MOX fuel. (authors)

  4. #include #include

    E-Print Network [OSTI]

    Campbell, Andrew T.

    process #12;#include #include pid_t pid = fork(); if (pid () failed */ } else if (pid == 0) { /* parent process */ } else { /* child process */ } #12;thread #12

  5. Short-term effects of air pollution: a panel study of blood markers in patients with chronic pulmonary disease

    E-Print Network [OSTI]

    2009-01-01T23:59:59.000Z

    Short-term effects of air pollution: a panel study of bloodindicates that ambient air pollution is associated withto daily changes in air pollution in Erfurt, Germany. 12

  6. Short-Term Energy Tests of a Credit Union Building in Idaho (Draft)

    SciTech Connect (OSTI)

    Subbarao, K.; Balcomb, J. D.

    1993-01-01T23:59:59.000Z

    This report describes tests and results of the energy performance of a credit union building in Idaho. The building is in the Energy Edge Program administered by the Bonneville Power Administration (BPA). BPA provided incentives to incorporate innovative features designed to conserve energy use by the building. It is of interest to determine the actual performance of these features. The objective of this project was to evaluate the applicability of the SERI short-term energy monitoring (STEM) method to nonresidential buildings.

  7. Short-term load forecasting using generalized regression and probabilistic neural networks in the electricity market

    SciTech Connect (OSTI)

    Tripathi, M.M.; Upadhyay, K.G.; Singh, S.N.

    2008-11-15T23:59:59.000Z

    For the economic and secure operation of power systems, a precise short-term load forecasting technique is essential. Modern load forecasting techniques - especially artificial neural network methods - are particularly attractive, as they have the ability to handle the non-linear relationships between load, weather temperature, and the factors affecting them directly. A test of two different ANN models on data from Australia's Victoria market is promising. (author)

  8. Performance and nutrient utilization of steers fed short term reconstituted grains

    E-Print Network [OSTI]

    Simpson, Edward James

    1982-01-01T23:59:59.000Z

    experiment. The ration's were composed on a dry basis of 86X grain and 14X of the same protein supplement used in the feeding experiment. Eight Beefmaster crossbred steers of the same origin and weight as those used in the growth trial were assigned...PERFORMANCE AND NUTRIENT UTILIZATION OF STEERS FED SHORT TERM RECONSTITUTED GRAINS A Thesis by EDWARD JAMES SIMPSON, JR. Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree...

  9. Short-term energy outlook. Quarterly projections, 2nd quarter 1994

    SciTech Connect (OSTI)

    Not Available

    1994-05-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. The forecast period for this issue of the Outlook extends from the second quarter of 1994 through the fourth quarter of 1995. Values for the first quarter of 1994, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available. The historical energy data, compiled into the second quarter 1994 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service. The cases are produced using the STIFS. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. The EIA model is available on computer tape from the National Technical Information Service.

  10. #include #include

    E-Print Network [OSTI]

    Poinsot, Laurent

    #include #include //Rappels : "getpid()" permet d'obtenir son propre pid // "getppid()" renvoie le pid du père d'un processus int main (void) { pid_t pid_fils; pid_fils = fork(); if(pid_fils==-1) { printf("Erreur de création du processus fils\

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

    SciTech Connect (OSTI)

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

    2014-05-01T23:59:59.000Z

    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.

  12. ORIGINAL PAPER Short-term effect of tillage intensity on N2O and CO2 emissions

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ORIGINAL PAPER Short-term effect of tillage intensity on N2O and CO2 emissions Pascal Boeckx negative to positive. We studied the short-term effect of tillage intensity on N2O and CO2 emissions. We site, an intermediately aerated Luvisol in Belgium, were similar. Nitrous oxide and CO2 emissions were

  13. DOBEIA-0202(83/4Q) Short-Term Energy Outlook Quarterly Projections

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4ConsumptionDOBEIA-0202(83/4Q) Short-Term

  14. DOE/EIA-0202(84/3Q) Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 4 aI la3Q) Short-Term

  15. Short-Term Energy Outlook Supplement: Weather Sensitivity in Natural Gas Markets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April19.Data Series: ProvedShort-Term

  16. Short-term energy outlook, October 1998. Quarterly projections, 1998 4. quarter

    SciTech Connect (OSTI)

    NONE

    1998-10-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares The Short-Term Energy Outlook (energy supply, demand, and price projections) monthly for distribution on the Internet at: www.eia.doe.gov/emeu/steo/pub/contents.html. In addition, printed versions of the report are available to subscribers in January, April, July and October. The forecast period for this issue of the Outlook extends from October 1998 through December 1999. Values for third quarter of 1998 data, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the October 1998 version of the Short-term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding.

  17. Research on Short-term Load Forecasting of the Thermoelectric Boiler Based on a Dynamic RBF Neural Network 

    E-Print Network [OSTI]

    Dai, W.; Zou, P.; Yan, C.

    2006-01-01T23:59:59.000Z

    As thermal inertia is the key factor for the lag of thermoelectric utility regulation, it becomes very important to forecast its short-term load according to running parameters. In this paper, dynamic radial basis function (RBF) neural network...

  18. Using futures prices to filter short-term volatility and recover a latent, long-term price series for oil

    E-Print Network [OSTI]

    Herce, Miguel Angel

    2006-01-01T23:59:59.000Z

    Oil prices are very volatile. But much of this volatility seems to reflect short-term,transitory factors that may have little or no influence on the price in the long run. Many major investment decisions should be guided ...

  19. Implications of Wide-Area Geographic Diversity for Short- Term Variability of Solar Power

    SciTech Connect (OSTI)

    Mills, Andrew; Wiser, Ryan

    2010-08-23T23:59:59.000Z

    Worldwide interest in the deployment of photovoltaic generation (PV) is rapidly increasing. Operating experience with large PV plants, however, demonstrates that large, rapid changes in the output of PV plants are possible. Early studies of PV grid impacts suggested that short-term variability could be a potential limiting factor in deploying PV. Many of these early studies, however, lacked high-quality data from multiple sites to assess the costs and impacts of increasing PV penetration. As is well known for wind, accounting for the potential for geographic diversity can significantly reduce the magnitude of extreme changes in aggregated PV output, the resources required to accommodate that variability, and the potential costs of managing variability. We use measured 1-min solar insolation for 23 time-synchronized sites in the Southern Great Plains network of the Atmospheric Radiation Measurement program and wind speed data from 10 sites in the same network to characterize the variability of PV with different degrees of geographic diversity and to compare the variability of PV to the variability of similarly sited wind. The relative aggregate variability of PV plants sited in a dense 10 x 10 array with 20 km spacing is six times less than the variability of a single site for variability on time scales less than 15-min. We find in our analysis of wind and PV plants similarly sited in a 5 x 5 grid with 50 km spacing that the variability of PV is only slightly more than the variability of wind on time scales of 5-15 min. Over shorter and longer time scales the level of variability is nearly identical. Finally, we use a simple approximation method to estimate the cost of carrying additional reserves to manage sub-hourly variability. We conclude that the costs of managing the short-term variability of PV are dramatically reduced by geographic diversity and are not substantially different from the costs for managing the short-term variability of similarly sited wind in this region.

  20. Estimating long-term mean winds from short-term wind data

    SciTech Connect (OSTI)

    Barchet, W.R.; Davis, W.E.

    1983-08-01T23:59:59.000Z

    The estimation of long-term mean winds from short-term data is especially important in the area of wind energy. It is desirable to obtain reliable estimates of the long-term wind speed from as short a period of on-site measurements as possible. This study examined seven different methods of estimating the long-term average wind speed and compared the performance of these techniques. Three linear, three weather pattern, and one eigenvector methods were compared for measurement periods ranging from 3 months to 36 months. Average errors, both relative and absolute, and the rms errors in the techniques were determined. The best technique for less than 12 months of measurement was the eigenvector method using weekly mean wind speeds. However, this method was only slightly better than the linear adjusted method. When 12 or more months of data were used, the difference in errors between techniques was found to be slight.

  1. Economic Evaluation of Short-Term Wind Power Forecasts in ERCOT: Preliminary Results; Preprint

    SciTech Connect (OSTI)

    Orwig, K.; Hodge, B. M.; Brinkman, G.; Ela, E.; Milligan, M.; Banunarayanan, V.; Nasir, S.; Freedman, J.

    2012-09-01T23:59:59.000Z

    Historically, a number of wind energy integration studies have investigated the value of using day-ahead wind power forecasts for grid operational decisions. These studies have shown that there could be large cost savings gained by grid operators implementing the forecasts in their system operations. To date, none of these studies have investigated the value of shorter-term (0 to 6-hour-ahead) wind power forecasts. In 2010, the Department of Energy and National Oceanic and Atmospheric Administration partnered to fund improvements in short-term wind forecasts and to determine the economic value of these improvements to grid operators, hereafter referred to as the Wind Forecasting Improvement Project (WFIP). In this work, we discuss the preliminary results of the economic benefit analysis portion of the WFIP for the Electric Reliability Council of Texas. The improvements seen in the wind forecasts are examined, then the economic results of a production cost model simulation are analyzed.

  2. Implications of Wide-Area Geographic Diversity for Short- Term Variability of Solar Power

    E-Print Network [OSTI]

    Mills, Andrew

    2010-01-01T23:59:59.000Z

    deviation and 99.7 th percentile of deltas in global cleardeviation and 99.7 th percentile of deltas in normalizeddeviation and 99.7 th percentile of deltas in global clear

  3. Short-term and creep shear characteristics of a needlepunched thermally locked geosynthetic clay liner

    SciTech Connect (OSTI)

    Siebken, J.R. [National Seal Co., Galesburg, IL (United States). Technical Services; Swan, R.H. Jr.; Yuan, Z. [GeoSyntec Consultants, Atlanta, GA (United States). Soil-Geosynthetic Interaction Testing Lab.

    1997-11-01T23:59:59.000Z

    A series of constant-rate direct shear tests were conducted on a needlepunched thermally locked geosynthetic clay liner (GCL) in accordance with ASTM Test Method for Determining the Coefficient of Soil and Geosynthetic or Geosynthetic and Geosynthetic Friction by the Direct Shear Method (D 5321). The test results demonstrate that the needlepunched thermally locked reinforcing fibers provide substantial short-term shear strength to a GCL. However, there is a growing concern that the long-term shear strength to a GCL. However, there is a growing concern that the long-term shear strength of this type of GCL can be affected due to the potential of creep within the reinforcing fibers under sustained constant loads which occur in the field. An attempt was made to address this concern through an incrementally-loaded creep shear test conducted in a newly developed constant-load (creep) shear testing device. The results of the creep shear test to date show that the GCL has undergone relatively small shear displacements with incremental shear rates decreasing with time within each loading phase.

  4. Image-Guided Techniques Improve the Short-term Outcome of Autologous Osteochondral Cartilage Repair Surgeries -An

    E-Print Network [OSTI]

    Stewart, James

    Image-Guided Techniques Improve the Short-term Outcome of Autologous Osteochondral Cartilage Repair and deliver osteochondral grafts remains problematic. We investigated whether image-guided methods (optically-guided and template-guided) can improve the outcome of mo- saic arthroplasty procedures. Methods: Fifteen sheep were

  5. Short-term Wind Power Prediction for Offshore Wind Farms -Evaluation of Fuzzy-Neural Network Based Models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Short-term Wind Power Prediction for Offshore Wind Farms - Evaluation of Fuzzy-Neural Network Based of offshore farms and their secure integration to the grid. Modeling the behavior of large wind farms presents the new considerations that have to be made when dealing with large offshore wind farms

  6. Short-term effects of oestradiol, T3 or insulin infusions on plasma concentrations and estimated hepatic balances

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Short-term effects of oestradiol, T3 or insulin infusions on plasma concentrations and estimated infusions on interme- diary and hepatic metabolism were studied in 4 preruminant male calves fed milk replac/kg BW), infused during the first h after feeding. Metabolite concentrations were determined

  7. 1256 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 18, NO. 4, NOVEMBER 2003 Short-Term Hydrothermal Generation Scheduling

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

    long and mid-term models, have been used to optimize the amount of hydro energy to be used during1256 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 18, NO. 4, NOVEMBER 2003 Short-Term Hydrothermal are obtained for each of both hydro and thermal units. Future cost curves of hydro generation, obtained from

  8. CHANGES IN THE ELECTRICAL SURFACE CHARGE AND TRANSPLANTATION PROPERTIES OF TA3 ASCITES TUMOR CELLS DURING SHORT-TERM MAINTENANCE IN AN ISOTONIC SALT SOLUTION

    E-Print Network [OSTI]

    Tenforde, T.S.

    2013-01-01T23:59:59.000Z

    CELLS DURING SHORT-TERM MAINTENANCE IN AN ISOTONIC SALTcells. In conclusion, the maintenance of TA3 ascites cellslhort-term tumor cell maintenance in vitro. REFERENCES

  9. PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring

    SciTech Connect (OSTI)

    Subbarao, K.

    1988-09-01T23:59:59.000Z

    This report presents a unified method of hourly simulation of a building and analysis of performance data. The method is called Primary and Secondary Terms Analysis and Renormalization (PSTAR). In the PSTAR method, renormalized parameters are introduced for the primary terms such that the renormalized energy balance equation is best satisfied in the least squares sense, hence, the name PSTAR. PSTAR allows extraction of building characteristics from short-term tests on a small number of data channels. These can be used for long-term performance prediction (''ratings''), diagnostics, and control of heating, ventilating, and air conditioning systems (HVAC), comparison of design versus actual performance, etc. By combining realistic building models, simple test procedures, and analysis involving linear equations, PSTAR provides a powerful tool for analyzing building energy as well as testing and monitoring. It forms the basis for the Short-Term Energy Monitoring (STEM) project at SERI.

  10. Short term effects of commercial polychlorinated biphenyl (PCB) mixtures and individual PCB congeners in female Sprague-Dawley rats

    E-Print Network [OSTI]

    Chen, Yu-Chyu

    1992-01-01T23:59:59.000Z

    fulfillment of the requirements for the degree of MASTER OF SCIENCE December 1992 Major subject: Toxicology SHORT TERM EFFECTS OF COMMERCIAL POLYCHLORINATED BIPHENYL (PCB) MIXTURES AND INDIVIDUAL PCB CONGENERS IN FEMALE SPRAGUE-DAWLEY RATS A Thesis... of isomers 3 12 24 42 46 42 24 12 3 1 209 This thesis followed the format and style of Toxicology and Applied Pharmacology. isomers and congeners in which there are differences with respect to the number of halogen atoms and their substitution...

  11. Probabilistic wind power forecasting -European Wind Energy Conference -Milan, Italy, 7-10 May 2007 Probabilistic short-term wind power forecasting

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Probabilistic wind power forecasting - European Wind Energy Conference - Milan, Italy, 7-10 May 2007 Probabilistic short-term wind power forecasting based on kernel density estimators J´er´emie Juban jeremie.juban@ensmp.fr; georges.kariniotakis@ensmp.fr Abstract Short-term wind power forecasting tools

  12. System model Scope of Work Short term power constraint Long term power constraint Imperfect CSIR Prediction Summary Spatial and Temporal Power Allocation for MISO

    E-Print Network [OSTI]

    Bhashyam, Srikrishna

    System model Scope of Work Short term power constraint Long term power constraint Imperfect CSIR Prediction Summary Spatial and Temporal Power Allocation for MISO Systems with Delayed Feedback Srikrishna) feedback #12;System model Scope of Work Short term power constraint Long term power constraint Imperfect

  13. Short-Term Energy Outlook Supplement: Status of Libyan Loading Ports and Oil and Natural Gas Fields

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctoberOutlookShort-Term

  14. A Distributed Modeling System for Short-Term to Seasonal Ensemble Streamflow Forecasting in Snowmelt Dominated Basins

    SciTech Connect (OSTI)

    Wigmosta, Mark S.; Gill, Muhammad K.; Coleman, Andre M.; Prasad, Rajiv; Vail, Lance W.

    2007-12-01T23:59:59.000Z

    This paper describes a distributed modeling system for short-term to seasonal water supply forecasts with the ability to utilize remotely-sensed snow cover products and real-time streamflow measurements. Spatial variability in basin characteristics and meteorology is represented using a raster-based computational grid. Canopy interception, snow accumulation and melt, and simplified soil water movement are simulated in each computational unit. The model is run at a daily time step with surface runoff and subsurface flow aggregated at the basin scale. This approach allows the model to be updated with spatial snow cover and measured streamflow using an Ensemble Kalman-based data assimilation strategy that accounts for uncertainty in weather forecasts, model parameters, and observations used for updating. Model inflow forecasts for the Dworshak Reservoir in northern Idaho are compared to observations and to April-July volumetric forecasts issued by the Natural Resource Conservation Service (NRCS) for Water Years 2000 – 2006. October 1 volumetric forecasts are superior to those issued by the NRCS, while March 1 forecasts are comparable. The ensemble spread brackets the observed April-July volumetric inflows in all years. Short-term (one and three day) forecasts also show excellent agreement with observations.

  15. Short term Variability of the Sun Earth System: An Overview of Progress Made during the CAWSES II Period

    E-Print Network [OSTI]

    Gopalswamy, Nat; Yan, Yihua

    2015-01-01T23:59:59.000Z

    This paper presents an overview of results obtained during the CAWSES II period on the short term variability of the Sun and how it affects the near Earth space environment. CAWSES II was planned to examine the behavior of the solar terrestrial system as the solar activity climbed to its maximum phase in solar cycle 24. After a deep minimum following cycle 23, the Sun climbed to a very weak maximum in terms of the sunspot number in cycle 24 (MiniMax24), so many of the results presented here refer to this weak activity in comparison with cycle 23. The short term variability that has immediate consequence to Earth and geospace manifests as solar eruptions from closed field regions and high speed streams from coronal holes. Both electromagnetic (flares) and mass emissions (coronal mass ejections, CMEs) are involved in solar eruptions, while coronal holes result in high speed streams that collide with slow wind forming the so called corotating interaction regions (CIRs). Fast CMEs affect Earth via leading shocks ...

  16. Prediction of short-term and long-term VOC emissions from SBR bitumen-backed carpet under different temperatures

    SciTech Connect (OSTI)

    Yang, S.; Chen, Q. [Massachusetts Inst. of Tech., Cambridge, MA (United States). Building Technology Program; Bluyssen, P.M. [TNO Building and Construction Research, Delft (Netherlands)

    1998-12-31T23:59:59.000Z

    This paper presents two models for volatile organic compound (VOC) emissions from carpet. One is a numerical model using the computational fluid dynamics (CFD) technique for short-term predictions, the other an analytical model for long-term predictions. The numerical model can (1) deal with carpets that are not new, (2) calculate the time-dependent VOC distributions in a test chamber or room, and (3) consider the temperature effect on VOC emissions. Based on small-scale chamber data, both models were used to examine the VOC emissions under different temperatures from polypropene styrene-butadiene rubber (SBR) bitumen-backed carpet. The short-term predictions show that the VOC emissions under different temperatures can be modeled solely by changing the carpet diffusion coefficients. A formulation of the Arrhenius relation was used to correlate the dependence of carpet diffusion coefficient with temperature. The long-term predictions show that it would take several years to bake out the VOCs, and temperature would have a major impact on the bake-out time.

  17. A Proposed Design for a Short-Term Resource Adequacy Program

    E-Print Network [OSTI]

    is the ability of the system to meet the aggregate customer demand with a certain probability [1], usually given characteristics of electricity, including the lack of large-scale storage and the limited demand responsiveness capacities of the existing supply sources and the demand bids of price responsive buyers. The regulatory

  18. An evaluation of the Gilian TRACEAIR Organic Vapor Monitoring Diffusive Badge in measuring short-term exposure levels of benzene under field conditions 

    E-Print Network [OSTI]

    Pierce, Mark Edward

    1996-01-01T23:59:59.000Z

    The objective of this research is to evaluate the performance of the Gilian TRACEAIR Organic Vapor Monitoring I (OVMI) Diffusive Badge in measuring short-term benzene exposures under field conditions. In general, a diffusive badge is a device which...

  19. Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests; Literature Review and Site Selection, Nov. 1997 (Revised Feb. 1998)

    E-Print Network [OSTI]

    Haberl, J. S.; Claridge, D. E.; Reddy, T. A.; Elleson, J.

    1997-01-01T23:59:59.000Z

    This is the preliminary report contains the literature review and site selection recommendations for ASHRAE Research Project RP 1004 — "Determining Long-term Performance of Cool Storage Systems From Short-term Tests"....

  20. Research on Short-term Load Forecasting of the Thermoelectric Boiler Based on a Dynamic RBF Neural Network

    E-Print Network [OSTI]

    Dai, W.; Zou, P.; Yan, C.

    2006-01-01T23:59:59.000Z

    is proposed based on the RBF neural network with the associated parameters of sample deviation and partial sample deviation, which are defined for the purpose of effective judgment of new samples. Also, in order to forecast the load of sample with large...

  1. Visualization of short-term heart period variability with network tools as a method for quantifying autonomic drive

    E-Print Network [OSTI]

    Makowiec, Danuta; Kaczkowska, Agnieszka; Graff, Grzegorz; Wejer, Dorota; Wdowczyk, Joanna; Zarczynska-Buchowiecka, Marta; Gruchala, Marcin; Struzik, Zbigniew R

    2014-01-01T23:59:59.000Z

    Signals from heart transplant recipients can be considered to be a natural source of information for a better understanding of the impact of the autonomic nervous system on the complexity of heart rate variability. Beat-to-beat heart rate variability can be represented as a network of increments between subsequent $RR$-intervals, which makes possible the visualization of short-term heart period fluctuations. A network is constructed of vertices representing increments between subsequent $RR$-intervals, and edges which connect adjacent $RR$-increments. Two modes of visualization of such a network are proposed. The method described is applied to nocturnal Holter signals recorded from healthy young people and from cardiac transplant recipients. Additionally, the analysis is performed on surrogate data: shuffled RR-intervals (to display short-range dependence), and shuffled phases of the Fourier Transform of RR-intervals (to filter out linear dependences). Important nonlinear properties of autonomic nocturnal reg...

  2. Microstructural evolution of delta ferrite in SAVE12 steel under heat treatment and short-term creep

    SciTech Connect (OSTI)

    Li, Shengzhi, E-mail: lishengzhi@sjtu.edu.cn [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)] [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China); Eliniyaz, Zumrat; Zhang, Lanting; Sun, Feng [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)] [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China); Shen, Yinzhong [School of Nuclear Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)] [School of Nuclear Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China); Shan, Aidang, E-mail: adshan@sjtu.edu.cn [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)] [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)

    2012-11-15T23:59:59.000Z

    This research focused on the formation and microstructural evolution of delta ferrite phase in SAVE12 steel. The formation of delta ferrite was due to the high content of ferrite forming alloy elements such as Cr, W, and Ta. This was interpreted through either JMatPro-4.1 computer program or Cr{sub eq} calculations. Delta ferrite was found in bamboo-like shape and contained large amount of MX phase. It was surrounded by Laves phases before creep or aging treatment. Annealing treatments were performed under temperatures from 1050 Degree-Sign C to 1100 Degree-Sign C and various time periods to study its dissolution kinetics. The result showed that most of the delta ferrite can be dissolved by annealing in single phase austenitic region. Dissolution process of delta ferrite may largely depend on dissolution kinetic factors, rather than on thermodynamic factors. Precipitation behavior during short-term (1100 h) creep was investigated at temperature of 600 Degree-Sign C under a stress of 180 MPa. The results demonstrated that delta ferrite became preferential nucleation sites for Laves phase at the early stage of creep. Laves phase on the boundary around delta ferrite showed relatively slower growth and coarsening rate than that inside delta ferrite. - Highlights: Black-Right-Pointing-Pointer Delta ferrite is systematically studied under heat treatment and short-term creep. Black-Right-Pointing-Pointer Delta ferrite contains large number of MX phase and is surrounded by Laves phases before creep or aging treatment. Black-Right-Pointing-Pointer Formation of delta ferrite is interpreted by theoretical and empirical methods. Black-Right-Pointing-Pointer Most of the delta ferrite is dissolved by annealing in single phase austenitic region. Black-Right-Pointing-Pointer Delta ferrite becomes preferential nucleation sites for Laves phase at the early stage of creep.

  3. Ichno-sedimentological record of short-term climate-controlled redox events and cycles in organic-rich strata

    SciTech Connect (OSTI)

    Savrda, C.E. (Auburn Univ., AL (USA)); Bottjher, D.J. (Univ. of Southern California, Los Angeles (USA)); Ozalas, K. (Auburn Univ., AL (USA))

    1990-05-01T23:59:59.000Z

    Reduced rates of biochemical degradation of organic matter in oxygen-depleted marine settings generally result in the accumulation of laminated strata with high hydrocarbon source potential. Periods of improved oxygenation, during which the quantity and quality of organic matter are effectively reduced, are reflected by interbedded bioturbated intervals. Such benthic redox excursions may reflect variable paleooceanographic responses to climatic events or cycles. The potential role of climate in the short-term modulation of source rock potential is exemplified by bioturbated intervals within three predominantly laminated organic-rich units. The Jurassic Posidonia Shale (Germany) contains bioturbated beds whose ichnologic characteristics reflect a spectrum from short, low-magnitude redox events to longer episodes of greater magnitude. The character and distribution of these event beds appear to be controlled by sea level mediated variations in the frequency and intensity of storm-induced basin turnover. Bioturbated beds of the Upper Cretaceous Niobrara Formation (Colorado) are characterized by four oxygen-related ichnocoenoses, the distribution of which reflects cyclic variations in redox conditions. Relationships between paleooxygenation and organic-carbon and carbonate contents, and estimated cycle periodicities, suggest that redox variations were controlled by wet-dry climatic cycles modulated by the Milankovitch cycle of axial precession. Bioturbated beds within slope and basinal facies of the Miocene Monterey Formation (California) are variable in character, reflecting differences in duration and magnitude of associated oxygenation episodes, and may be in response to short-term variations in wind-stress-induced upwelling and/or ice-volume-controlled eustatic sea level changes.

  4. Effects of various uranium leaching procedures on soil: Short-term vegetation growth and physiology. Progress report, April 1994

    SciTech Connect (OSTI)

    Edwards, N.T.

    1994-08-01T23:59:59.000Z

    Significant volumes of soil containing elevated levels of uranium exist in the eastern United States. The contamination resulted from the development of the nuclear industry in the United States requiring a large variety of uranium products. The contaminated soil poses a collection and disposal problem of a magnitude that justifies the development of decontamination methods. Consequently, the Department of Energy (DOE) Office of Technology Development formed the Uranium Soils Integrated Demonstration (USID) program to address the problem. The fundamental goal of the USID task group has been the selective extraction/leaching or removal of uranium from soil faster, cheaper, and safer than what can be done using current conventional technologies. The objective is to selectively remove uranium from soil without seriously degrading the soil`s physicochemical characteristics and without generating waste that is difficult to manage and/or dispose of. However, procedures developed for removing uranium from contaminated soil have involved harsh chemical treatments that affect the physicochemical properties of the soil. The questions are (1) are the changes in soil properties severe enough to destroy the soil`s capacity to support and sustain vegetation growth and survival? and (2) what amendments might be made to the leached soil to return it to a reasonable vegetation production capacity? This study examines the vegetation-support capacity of soil that had been chemically leached to remove uranium. The approach is to conduct short-term germination and phytotoxicity tests for evaluating soils after they are subjected to various leaching procedures followed by longer term pot studies on successfully leached soils that show the greatest capacity to support plant growth. This report details the results from germination and short-term phytotoxicity testing of soils that underwent a variety of leaching procedures at the bench scale at ORNL and at the pilot plant at Fernald.

  5. Dose-Escalated Radiotherapy for High-Risk Prostate Cancer: Outcomes in Modern Era With Short-Term Androgen Deprivation Therapy

    SciTech Connect (OSTI)

    Liauw, Stanley L., E-mail: sliauw@radonc.uchicago.ed [Department of Radiation and Cellular Oncology, University of Chicago Pritzker School of Medicine, Chicago, IL (United States); Stadler, Walter M. [Department of Medical Oncology, University of Chicago Pritzker School of Medicine, Chicago, IL (United States); Correa, David B.S.; Weichselbaum, Ralph R. [Department of Radiation and Cellular Oncology, University of Chicago Pritzker School of Medicine, Chicago, IL (United States); Jani, Ashesh B. [Department of Radiation Oncology, Emory University, Atlanta, GA (United States)

    2010-05-01T23:59:59.000Z

    Purpose: Randomized data have supported the use of long-term androgen deprivation therapy (ADT) combined with radiotherapy (RT) for men with high-risk prostate cancer. The present study reviewed the outcomes of intermediate- and high-risk men treated with RT and short-term ADT. Materials and Methods: A total of 184 men with any single risk factor of prostate-specific antigen >=10 ng/mL, clinical Stage T2b or greater, or Gleason score >=7 were treated with primary external beam RT for nonmetastatic adenocarcinoma of the prostate. The median radiation dose was 74 Gy; 55% were treated with intensity-modulated RT. All patients received ADT for 1 to 6 months (median, 4), consisting of a gonadotropin-releasing hormone analog. Univariate and multivariable analyses were performed for risk factors, including T stage, Gleason score, radiation dose, and prostate-specific antigen level. Results: With a median follow-up of 51 months, the 4-year freedom from biochemical failure (FFBF) using the nadir plus 2 ng/mL definition was 83% for all patients. Clinical Stage T3 disease was the only variable tested associated with FFBF on univariate (4-year FFBF rate, 46% vs. 87% for Stage T1-T2c disease; p = .0303) and multivariable analysis (hazard ratio, 3.9; p = .0016). On a subset analysis of high-risk patients (National Comprehensive Cancer Network criteria), those with clinical Stage T3 disease (4-year FFBF rate, 46% vs. 80%; p = .0303) and a radiation dose <74 Gy (4-year FFBF rate, 64% vs. 80%) had a poorer outcome on univariate analysis. However, clinical Stage T3 disease and radiation dose were not significant on multivariable analysis, although a statistical multivariable trend was seen for both (p = .0650 and p = .0597, respectively). Conclusion: Short-term ADT and RT might be acceptable for men with intermediate- and high-risk prostate cancer, especially for clinically localized disease treated with doses of >=74 Gy.

  6. A Solution Approach for Optimizing Long-and Short-term Production Scheduling at LKAB's Kiruna Mine

    E-Print Network [OSTI]

    mine located in northern Sweden. The model min- imizes deviations from monthly preplanned production a production schedule 1 Introduction LKAB's Kiruna iron ore mine, located in northern Sweden, satisfies

  7. Seismic Activity of the Earth, the Cosmological Vectorial Potential And Method of a Short-term Earthquakes Forecasting

    E-Print Network [OSTI]

    Yu. A. Baurov; Yu. A. Baurov; Yu. A. Baurov Jr.; A. A. Spitalnaya; A. A. Abramyan; V. A. Solodovnikov

    2008-08-20T23:59:59.000Z

    To the foundation of a principally new short-term forecasting method there has been laid down a theory of surrounding us world's creation and of physical vacuum as a result of interaction of byuons - discrete objects. The definition of the byuon contains the cosmological vector-potential A_g - a novel fundamental vector constant. This theory predicts a new anisotropic interaction of nature objects with the physical vacuum. A peculiar "tap" to gain new energy (giving rise to an earthquake) are elementary particles because their masses are proportional to the modulus of some summary potential A_sum that contains potentials of all known fields. The value of A_sum cannot be larger than the modulus of A_g. In accordance with the experimental results a new force associated with A_sum ejects substance from the area of the weakened A_sum along a conical formation with the opening of 100 +- 10 and the axis directed along the vector A_sum. This vector has the following coordinates in the second equatorial coordinate system: right ascension alpha = 293 +- 10, declination delta = 36 +- 10. Nearly 100% probability of an earthquake (earthquakes of 6 points strong and more by the Richter scale) arises when in the process of the earth rotation the zenith vector of a seismically dangerous region and/or the vectorial potential of Earth's magnetic fields are in a certain way oriented relative to the vector A_g. In the work, basic models and standard mechanisms of earthquakes are briefly considered, results of processing of information on the earthquakes in the context of global spatial anisotropy caused by the existence of the vector A_g, are presented, and an analysis of them is given.

  8. European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. State-of-the-Art on Methods and Software Tools for Short-Term

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. State-of-the-Art on Methods and Software Tools for Short-Term Prediction of Wind Energy Production G. Giebel*, L. Landberg, Risoe National Roskilde, Denmark Abstract: The installed wind energy capacity in Europe today is 20 GW, while

  9. Oxygen isotope content of CO2 in nocturnal ecosystem respiration: 2. Short-term dynamics of foliar and soil component fluxes in an

    E-Print Network [OSTI]

    Ehleringer, Jim

    Oxygen isotope content of CO2 in nocturnal ecosystem respiration: 2. Short-term dynamics of foliar; accepted 29 October 2003; published 23 December 2003. [1] The oxygen isotope contents (d18 O) of soil showed enrichment over a 2-week sampling period as the weather became hot and dry (leaves 0.9 to 15

  10. A Methodology to Characterize Ideal Short-term Counting Conditions and Improve AADT Estimation Accuracy Using a Regression-based Correcting

    E-Print Network [OSTI]

    Bertini, Robert L.

    -established and robust with clear guidelines to collect short-term count data, to analyze data and develop annual average a statewide system of non-motorized data. From a planning point of view, a key measure of traffic volumes continuous counts comes from the AASHTO Guidelines for Traffic Data Programs, prepared in 1992 (AASHTO, 1992

  11. Prediction of wind speed profiles for short-term forecasting in the offshore environment R.J. Barthelmie and G. Giebel

    E-Print Network [OSTI]

    in planning of maintenance visits to offshore wind farms. In most cases the basis for the predictionPrediction of wind speed profiles for short-term forecasting in the offshore environment R wind farms. The main effects considered here are: wind speed gradients in the coastal zone, vertical

  12. Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests, Progress Report, 6-99, Revised 12-99

    E-Print Network [OSTI]

    Reddy, T. A.; Elleson, J.; Haberl, J. S.

    1999-01-01T23:59:59.000Z

    This is the Spring 1999 progress report on ASHRAE Research Project RP 1004: Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests. This report presents an update concerning the work that has been accomplished since the June...

  13. Estimation of original gas in place from short-term shut-in pressure data for commingled tight gas reservoirs with no crossflow 

    E-Print Network [OSTI]

    Khuong, Chan Hung

    1995-01-01T23:59:59.000Z

    gas production (GP) under these circumstances. This research studies different empirical methods to estimate the original gas in place (OGIP) for one-layer or commingled two-layer tight gas reservoirs without crossflow, from short-term (72-hour) shut...

  14. Multi-color Near Infra-red Intra-day and Short Term Variability of the Blazar S5 0716+714

    E-Print Network [OSTI]

    Alok C. Gupta; Sang-Mok Cha; Sungho Lee; Ho Jin; Soojong Pak; Seoung-hyun Cho; Bongkon Moon; Youngsik Park; In-Soo Yuk; Uk-won Nam; Jaemann Kyeong

    2008-09-19T23:59:59.000Z

    In this paper, we report results of our near-infrared (NIR) photometric variability studies of the BL Lacertae object S5 0716+714. NIR photometric observations spread over 7 nights during our observing run April 2-9, 2007 at 1.8 meter telescope equipped with KASINICS (Korea Astronomy and Space Science Institute Near Infrared Camera System) and J, H, and Ks filters at Bohyunsan Optical Astronomy Observatory (BOAO), South Korea. We searched for intra-day variability, short term variability and color variability in the BL Lac object. We have not detected any genuine intra-day variability in any of J, H, and Ks passbands in our observing run. Significant short term variability ~ 32.6%, 20.5% and 18.2% have been detected in J, H, Ks passbands, respectively, and ~ 11.9% in (J-H) color.

  15. arXiv:1007.3122v2[q-bio.NC]30Jan2013 Robust Short-Term Memory without Synaptic

    E-Print Network [OSTI]

    Johnson, Samuel

    been stored in samuel.johnson@imperial.ac.uk 1 #12;our brains previously (not very credible). Here wearXiv:1007.3122v2[q-bio.NC]30Jan2013 Robust Short-Term Memory without Synaptic Learning Samuel Johnson1,2, , J. Marro3 , and Joaqu´in J. Torres3 1 Department of Mathematics, Imperial College London, SW

  16. An assay of duck hepatitis virus induced interferon, produced in duck embryo fibro-blasts which have experienced short term treatment with DDT

    E-Print Network [OSTI]

    Bauder, Richard Burgess

    1973-01-01T23:59:59.000Z

    AN ASSAY OP DUCK HEPATITIS VIRUS INDUCED INTERFERON, PRODUCED IN DUCK EMBRYO FIBROBLASTS WHICH HAVE EXPERIENCED SHORT TERM TREATMENT WITH DDT A Thesis by BURGESS BAUDER Submitted to the Graduate College of Texas A&M University in Partial... WITH DDT A Thesi. s by /'. ". " . "i BURGESS BAUDER Approved as to style and content by: (Chairm of Committee) (Head of Depar ent) (Member) (Member) (Member) August 1973 ABSTRACT An Assay of Duck Hepatitis Virus Induced Interferon, Produced...

  17. PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring: A summary

    SciTech Connect (OSTI)

    Subbarao, K.

    1988-09-01T23:59:59.000Z

    This report summarizes a longer report entitled PSTAR - Primary and Secondary Terms Analysis and Renormalization. A Unified Approach to Building Energy Simulations and Short-Term Monitoring. These reports highlight short-term testing for predicting long-term performance of residential buildings. In the PSTAR method, renormalized parameters are introduced for the primary terms such that the renormalized energy balance equation is best satisfied in the least squares sense; hence, the name PSTAR. Testing and monitoring the energy performance of buildings has several important applications, among them: extrapolation to long-term performance, refinement of design tools through feedback from comparing design versus actual parameters, building-as-a-calorimeter for heating, ventilating, and air conditioning (HVAC) diagnostics, and predictive load control. By combining realistic building models, simple test procedures, and analysis involving linear equations, PSTAR provides a powerful tool for analyzing building energy as well as testing and monitoring. It forms the basis for the Short-Term Energy Monitoring (STEM) project at SERI. 3 figs., 1 tab.

  18. Downhole control of deviation with steerable straight-hole turbodrills

    SciTech Connect (OSTI)

    Gaynor, T.M.

    1988-03-01T23:59:59.000Z

    Advances in directional drilling have until recently been confined to issues that are peripheral to the central problem of controlling assembly behavior downhole. Examples of these advances are measurement while drilling (MWD) and the increasing use of computer assistance in well planning. These were significant steps forward, but the major problem remained. Changes in formation deviation tendencies led to trips to change bottomhole assemblies (BHA's) to cope with the new conditions. There is almost no direct control of deviation behavior. The steerable straight-hole turbodrill (SST) addresses this problem directly, allowing alteration of the well course without the need to trip. The availability of such a system radically changes the way in which directional well planning may be approached. This paper describes the equipment used and the equipment's construction and operational requirements. It discusses the capabilities and current limitation of the systems. Field results are presented for some 300,000 ft (91 500 m) of deviated drilling carried out over 2 years in Alaska and the North Sea. A series of four highly deviated wells totaling 35,000 ft (10 700m) with only three deviation trips is included. The SST is the first deviation drilling system to achieve deviation control over long sections without tripping to change BHA's. Bits and downhole equipment are now more reliable and long-lived than ever, therefore, deviation trips are becoming a major target for well cost saving.

  19. 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 Southern Study Area

    SciTech Connect (OSTI)

    Freedman, Jeffrey M.; Manobianco, John; Schroeder, John; Ancell, Brian; Brewster, Keith; Basu, Sukanta; Banunarayanan, Venkat; Hodge, Bri-Mathias; Flores, Isabel

    2014-04-30T23:59:59.000Z

    This Final Report presents a comprehensive description, findings, and conclusions for the Wind Forecast Improvement Project (WFIP)--Southern Study Area (SSA) work led by AWS Truepower (AWST). This multi-year effort, sponsored by the Department of Energy (DOE) and National Oceanographic and Atmospheric Administration (NOAA), focused on improving short-term (15-minute – 6 hour) wind power production forecasts through the deployment of an enhanced observation network of surface and remote sensing instrumentation and the use of a state-of-the-art forecast modeling system. Key findings from the SSA modeling and forecast effort include: 1. The AWST WFIP modeling system produced an overall 10 – 20% improvement in wind power production forecasts over the existing Baseline system, especially during the first three forecast hours; 2. Improvements in ramp forecast skill, particularly for larger up and down ramps; 3. The AWST WFIP data denial experiments showed mixed results in the forecasts incorporating the experimental network instrumentation; however, ramp forecasts showed significant benefit from the additional observations, indicating that the enhanced observations were key to the model systems’ ability to capture phenomena responsible for producing large short-term excursions in power production; 4. The OU CAPS ARPS simulations showed that the additional WFIP instrument data had a small impact on their 3-km forecasts that lasted for the first 5-6 hours, and increasing the vertical model resolution in the boundary layer had a greater impact, also in the first 5 hours; and 5. The TTU simulations were inconclusive as to which assimilation scheme (3DVAR versus EnKF) provided better forecasts, and the additional observations resulted in some improvement to the forecasts in the first 1 – 3 hours.

  20. LAPLACE TRANSFORM ESTIMATES AND DEVIATION INEQUALITIES

    E-Print Network [OSTI]

    Université Pierre-et-Marie-Curie, Paris 6

    , 60F05, 94A17, 60G42. Key words and phrases. Concentration of product measures, Deviation inequalit

  1. Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development

    E-Print Network [OSTI]

    Walter, M.Todd

    Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development A Report Engineering) W. VA #12;Energy Transitions: A Systems Approach August 2011 version Page 2 Energy Transitions sources globally, some very strong short-term drivers of energy transitions reflect rising concerns over

  2. Winchester/Camberley Homes New Construction Test House Design, Construction, and Short-Term Testing in a Mixed-Humid Climate

    SciTech Connect (OSTI)

    Mallav, D.; Wiehagen, J.; Wood, A.

    2012-10-01T23:59:59.000Z

    The NAHB Research Center partnered with production builder Winchester/Camberley Homes to build a DOE Building America New Construction Test House (NCTH). This single family, detached house, located in the mixed-humid climate zone of Silver Spring, MD, was completed in June 2011. The primary goal for this house was to improve energy efficiency by 30% over the Building America B10 benchmark by developing and implementing an optimized energy solutions package design that could be cost effectively and reliably constructed on a production basis using quality management practices. The intent of this report is to outline the features of this house, discuss the implementation of the energy efficient design, and report on short-term testing results. During the interactive design process of this project, numerous iterations of the framing, air sealing, insulation, and space conditioning systems were evaluated for energy performance, cost, and practical implementation. The final design featured numerous advanced framing techniques, high levels of insulation, and the HVAC system entirely within conditioned space. Short-term testing confirmed a very tight thermal envelope and efficient and effective heating and cooling. In addition, relevant heating, cooling, humidity, energy, and wall cavity moisture data will be collected and presented in a future long-term report.

  3. Short-Term Effects of Experimental Burning and Thinning on Soil Respiration in an Old-Growth,

    E-Print Network [OSTI]

    North, Malcolm

    sustainability and CO2 sequestration, we evaluated the effects of burning and thin- ning treatments on soil application of these forest management practices. Soil respiration, including autotrophic and hetero- trophic and Schlesinger 1992), forest management activities, such as burning and thinning, can also change soil environ

  4. The Effect of a Large Resuspension Event in Southern Lake Michigan on the Short-term Cycling of Organic Contaminants

    E-Print Network [OSTI]

    , the March event brought ~400 kg of PCBs and ~13,000 kg PAHs into the water column. Furthermore, the data that included analysis of settling sediment trap material and discrete air and water samples collected before of contaminants. For example, 6.2 ng/cm2 PCB (sum of 89 congener peaks) and 175 ng/cm2 PAHs (sum of 31 compounds

  5. ANNOUNCEMENT Short-Term Course

    E-Print Network [OSTI]

    Srivastava, Kumar Vaibhav

    to reduction in underground-based carbon resources. This has propelled the development of advanced engine-treatment such as selective catalyst reduction and NOx storage catalysts · Oxidation catalysts for VOC, and hydrocarbon-2). There will be a book exhibition on one evening. The first day of the course i.e. 28th June will be for the field visit

  6. ANNOUNCEMENT Short-Term Course

    E-Print Network [OSTI]

    Srivastava, Kumar Vaibhav

    to reduction in underground-based carbon resources. This has propelled the development of advanced engine traps · Selective catalytic reduction technique · NOx storage catalysts · engine system strategies will be for the field visit to Engine Development Directorate, RDSO Lucknow, Ministry of Railways (Not compulsory

  7. ANNOUNCEMENT Short-Term Course

    E-Print Network [OSTI]

    Srivastava, Kumar Vaibhav

    to reduction in underground- based carbon resources. This has propelled the development of advanced engine traps · Selective catalytic reduction technique · NOx storage catalysts · engine system strategies will be for the field visit to Engine Development Directorate, RDSO Lucknow, Ministry of Railways (Not compulsory

  8. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund scholarshipsShedding LightShinyShorei

  9. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund scholarshipsShedding LightShinyShorei

  10. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April19.Data Series: Proved Reserves

  11. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13 13 13

  12. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13 13 133 1

  13. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13 13

  14. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13 13(STEO)

  15. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13

  16. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13 1 December

  17. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13 1

  18. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13 1(STEO)

  19. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13

  20. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13June 2014 1

  1. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13June 2014

  2. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13June 2014

  3. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13June

  4. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13June(STEO)

  5. Short-Term Energy Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13June(STEO)4

  6. Short-Term Energy Outlook

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S. DEPARTMENT OF ENERGY OMB No.Despite dropnatural

  7. Effect of short-term exposure to dichlorvos on synaptic plasticity of rat hippocampal slices: Involvement of acylpeptide hydrolase and {alpha}{sub 7} nicotinic receptors

    SciTech Connect (OSTI)

    Olmos, Cristina; Sandoval, Rodrigo [Laboratory of Environmental Neurotoxicology, Department of Biomedical Sciences, Faculty of Medicine, Universidad Catolica del Norte, Larrondo 1281, 178-1421 Coquimbo (Chile); Rozas, Carlos [Laboratory of Neurosciences, Department of Biology, Faculty of Chemistry and Biology, Universidad de Santiago de Chile, Alameda 3363, Santiago (Chile); Navarro, Sebastian [Laboratory of Environmental Neurotoxicology, Department of Biomedical Sciences, Faculty of Medicine, Universidad Catolica del Norte, Larrondo 1281, 178-1421 Coquimbo (Chile); Wyneken, Ursula [Laboratory of Neurosciences, Faculty of Medicine, Universidad de Los Andes, San Carlos de Apoquindo 2200, Santiago (Chile); Zeise, Marc [School of Psychology, Faculty of Humanities, University of Santiago de Chile, Alameda 3363, Santiago (Chile); Morales, Bernardo [Laboratory of Neurosciences, Department of Biology, Faculty of Chemistry and Biology, Universidad de Santiago de Chile, Alameda 3363, Santiago (Chile); Pancetti, Floria [Laboratory of Environmental Neurotoxicology, Department of Biomedical Sciences, Faculty of Medicine, Universidad Catolica del Norte, Larrondo 1281, 178-1421 Coquimbo (Chile)], E-mail: pancetti@ucn.cl

    2009-07-01T23:59:59.000Z

    Dichlorvos is the active molecule of the pro-drug metrifonate used to revert the cognitive deficits associated with Alzheimer's disease. A few years ago it was reported that dichlorvos inhibits the enzyme acylpeptide hydrolase at lower doses than those necessary to inhibit acetylcholinesterase to the same extent. Therefore, the aim of our investigation was to test the hypothesis that dichlorvos can enhance synaptic efficacy through a mechanism that involves acylpeptide hydrolase instead of acetylcholinesterase inhibition. We used long-term potentiation induced in rat hippocampal slices as a model of synaptic plasticity. Our results indicate that short-term exposures (20 min) to 50 {mu}M dichlorvos enhance long-term potentiation in about 200% compared to the control condition. This effect is correlated with approximately 60% inhibition of acylpeptide hydrolase activity, whereas acetylcholinesterase activity remains unaffected. Paired-pulse facilitation and inhibition experiments indicate that dichlorvos does not have any presynaptic effect in the CA3 {yields} CA1 pathway nor affect gabaergic interneurons. Interestingly, the application of 100 nM methyllicaconitine, an {alpha}{sub 7} nicotinic receptor antagonist, blocked the enhancing effect of dichlorvos on long-term potentiation. These results indicate that under the exposure conditions described above, dichlorvos enhances long-term potentiation through a postsynaptic mechanism that involves (a) the inhibition of the enzyme acylpeptide hydrolase and (b) the modulation of {alpha}{sub 7} nicotinic receptors.

  8. INFRARED OBSERVATIONS OF THE MILLISECOND PULSAR BINARY J1023+0038: EVIDENCE FOR THE SHORT-TERM NATURE OF ITS INTERACTING PHASE IN 2000-2001

    SciTech Connect (OSTI)

    Wang, Xuebing; Wang, Zhongxiang [Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan Road, Shanghai 200030 (China)] [Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan Road, Shanghai 200030 (China); Morrell, Nidia [Las Campanas Observatory, Observatories of the Carnegie Institution of Washington, La Serena (Chile)] [Las Campanas Observatory, Observatories of the Carnegie Institution of Washington, La Serena (Chile)

    2013-02-20T23:59:59.000Z

    We report our multi-band infrared (IR) imaging of the transitional millisecond pulsar system J1023+0038, a rare pulsar binary known to have an accretion disk in 2000-2001. The observations were carried out with ground-based and space telescopes from near-IR to far-IR wavelengths. We detected the source in near-IR JH bands and Spitzer 3.6 and 4.5 {mu}m mid-IR channels. Combined with the previously reported optical spectrum of the source, the IR emission is found to arise from the companion star, with no excess emission detected in the wavelength range. Because our near-IR fluxes are nearly equal to those obtained by the 2MASS all-sky survey in 2000 February, the result indicates that the binary did not contain the accretion disk at the time, whose existence would have raised the near-IR fluxes to twice larger values. Our observations have thus established the short-term nature of the interacting phase seen in 2000-2001: the accretion disk existed for at most 2.5 yr. The binary was not detected by the WISE all-sky survey carried out in 2010 at its 12 and 22 {mu}m bands and our Herschel far-IR imaging at 70 and 160 {mu}m. Depending on the assumed properties of the dust, the resulting flux upper limits provide a constraint of <3 Multiplication-Sign 10{sup 22}-3 Multiplication-Sign 10{sup 25} g on the mass of the dust grains that possibly exist as the remnants of the previously seen accretion disk.

  9. Comparison of MELCOR modeling techniques and effects of vessel water injection on a low-pressure, short-term, station blackout at the Grand Gulf Nuclear Station

    SciTech Connect (OSTI)

    Carbajo, J.J.

    1995-06-01T23:59:59.000Z

    A fully qualified, best-estimate MELCOR deck has been prepared for the Grand Gulf Nuclear Station and has been run using MELCOR 1.8.3 (1.8 PN) for a low-pressure, short-term, station blackout severe accident. The same severe accident sequence has been run with the same MELCOR version for the same plant using the deck prepared during the NUREG-1150 study. A third run was also completed with the best-estimate deck but without the Lower Plenum Debris Bed (BH) Package to model the lower plenum. The results from the three runs have been compared, and substantial differences have been found. The timing of important events is shorter, and the calculated source terms are in most cases larger for the NUREG-1150 deck results. However, some of the source terms calculated by the NUREG-1150 deck are not conservative when compared to the best-estimate deck results. These results identified some deficiencies in the NUREG-1150 model of the Grand Gulf Nuclear Station. Injection recovery sequences have also been simulated by injecting water into the vessel after core relocation started. This marks the first use of the new BH Package of MELCOR to investigate the effects of water addition to a lower plenum debris bed. The calculated results indicate that vessel failure can be prevented by injecting water at a sufficiently early stage. No pressure spikes in the vessel were predicted during the water injection. The MELCOR code has proven to be a useful tool for severe accident management strategies.

  10. POLICY FLASH 2015-22 - Federal Acquisition Regulation Class Deviation...

    Energy Savers [EERE]

    POLICY FLASH 2015-22 - Federal Acquisition Regulation Class Deviation POLICY FLASH 2015-22 - Federal Acquisition Regulation Class Deviation DATE: May 8, 2015 TO: Procurement...

  11. Nonequilibrium Markov processes conditioned on large deviations

    E-Print Network [OSTI]

    Raphael Chetrite; Hugo Touchette

    2014-10-09T23:59:59.000Z

    We consider the problem of conditioning a Markov process on a rare event and of representing this conditioned process by a conditioning-free process, called the effective or driven process. The basic assumption is that the rare event used in the conditioning is a large deviation-type event, characterized by a convex rate function. Under this assumption, we construct the driven process via a generalization of Doob's $h$-transform, used in the context of bridge processes, and show that this process is equivalent to the conditioned process in the long-time limit. The notion of equivalence that we consider is based on the logarithmic equivalence of path measures and implies that the two processes have the same typical states. In constructing the driven process, we also prove equivalence with the so-called exponential tilting of the Markov process, which is used with importance sampling to simulate rare events, and which gives rise, from the point of view of statistical mechanics, to a nonequilibrium version of the canonical ensemble. Other links between our results and the topics of bridge processes, quasi-stationary distributions, stochastic control, and conditional limit theorems are mentioned.

  12. On large deviation properties of Brownian motion with dry friction Yaming Chen 1, # and Wolfram Just 1, +

    E-Print Network [OSTI]

    Just, Wolfram

    On large deviation properties of Brownian motion with dry friction Yaming Chen 1, # and Wolfram with dry friction, including quantitative measures to characterize deviation from Gaussian behaviour to dry friction as an illustrative example where explicit expressions for the distribution of functionals

  13. > REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 1 An Analytical Framework for Short-Term Resource

    E-Print Network [OSTI]

    the aggregate customer demand [1]. Resource adequacy addresses the need to have "sufficient" resources in place characteristics of electricity, including the lack of large-scale storage and the limited demand responsiveness world by representing the contribution of the resources and the load demand to reliability

  14. Deviational analyses for validating regulations on real systems

    E-Print Network [OSTI]

    Kelly, Tim

    Deviational analyses for validating regulations on real systems Fiona Polack, Thitima Srivatanakul to the validation of reg- ulations, in the sense of their application of regulations to real systems. Keyword: deviational analysis, dependability, regulation validation 1 Background Regulations are intended to control

  15. Evaluating the small deviation probabilities for subordinated Levy processes

    E-Print Network [OSTI]

    Shi, Zhan

    Evaluating the small deviation probabilities for subordinated L´evy processes Werner Linde and Zhan and Linde [7]) that the small deviation problem for Z is equivalent to the problem of estimating the entropy recent progresses (Samorodnitsky [13], Simon [16]­[17], Ishikawa [3], Li and Linde [8], Lifshits

  16. Locked into Copenhagen pledges - Implications of short-term emission targets for the cost and feasibility of long-term climate goals

    SciTech Connect (OSTI)

    Riahi, Keywan; Kriegler, Elmar; Johnson, Nils; Bertram, Christoph; den Elzen, Michel; Eom, Jiyong; Schaeffer, Michiel; Edmonds, James A.; Isaac, Morna; Krey, Volker; Longden, Thomas; Luderer, Gunnar; Mejean, Aurelie; McCollum, David; Mima, Silvana; Turton, Hal; Van Vuuren, Detlef; Wada, Kenichi; Bosetti, Valentina; Capros, Pantelis; Criqui, Patrick; Hamdi-Cherif, Meriem; Kainuma, M.; Edenhofer, Ottmar

    2015-01-01T23:59:59.000Z

    This paper provides an overview of the AMPERE intermodeling comparison with focus on the implications of near-term policies for the costs and attainability of long-term climate objectives. Ten modeling teams participated in the project to explore the consequences of global emissions following the proposed policy stringency of the national pledges from the Copenhagen Accord and Cancún Agreements to 2030. Specific features compared to earlier assessments are the explicit consideration of near-term 2030 emissions targets as well as the systematic sensitivity analysis for the availability and potential of mitigation technologies. Our estimates show that a 2030 mitigation effort comparable to the pledges would result in a further "lock-in" of the energy system into fossil fuels and thus impede the required energy transformation to reach low greenhouse-gas stabilization levels (450ppm CO2e). Major implications include significant increases in mitigation costs, increased risk that low stabilization targets become unattainable, and reduced chances of staying below the proposed temperature change target of 2C. With respect to technologies, we find that following the pledge pathways to 2030 would narrow policy choices, and increases the risks that some currently optional technologies, such as nuclear or carbon capture and storage (CCS), will become "a must" by 2030.

  17. Large Deviations in the Superstable Weakly Imperfect Bose Gas 1 Large Deviations in the Superstable Weakly Imperfect Bose Gas

    E-Print Network [OSTI]

    of the condensate. More interesting for our analysis is a discontinuity of the particle density from #- > 0Large Deviations in the Superstable Weakly Imperfect Bose Gas 1 Large Deviations in the Superstable Weakly Imperfect Bose Gas J.­B. Bru a and V.A. Zagrebnov b a FakultË?at fË?ur Physik, UniversitË?at Wien

  18. QIP Short Term Course Application of Renewable

    E-Print Network [OSTI]

    Kumar, M. Jagadesh

    Delhi - 110016, India Course contents · Fundamentals of solar radiation · Solar cell material · CO2 mitigation and credit · PV modules/arrays · Batteries · Hybrid systems (wind, hydro etc.) · Life cycle cost

  19. APPLICATION FORM Short term course on

    E-Print Network [OSTI]

    Srivastava, Kumar Vaibhav

    Address: Prof. Tapan K. Sengupta High Performance Computing Lab Department of Aerospace Venue : IIT Kanpur, Kanpur Organized by: High Performance Computing Lab, Dept. of Aerospace Engineering

  20. Short-Term Energy Outlook May 2014

    Gasoline and Diesel Fuel Update (EIA)

    by the U.S. Supreme Court reversing a lower court opinion that vacated the Cross-State Air Pollution Rule (CSAPR). CSAPR will replace the Clean Air Interstate Rule (CAIR). The...

  1. Short-Term Energy Outlook January 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site.1 Relative Standard ErrorsSeptember 24, 2014 MEMORANDUM7,5:January

  2. Short-Term Energy Outlook April 2014

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

    -0.5 0.0 0.5 1.0 1.5 2013 2014 2015 OPEC countries North America Russia and Caspian Sea Latin America North Sea Other Non-OPEC World Crude Oil and Liquid Fuels Production Growth...

  3. August 2012 Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S.5AreOil andMarket Module

  4. September 2012 Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Energy I I' a eviequestionnairesMillionNovember 20006 Table

  5. Short Term Energy Outlook ,November 2002

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Energy I I' a eviequestionnairesMillionNovemberData

  6. Short Term Energy Outlook ,October 2002

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Energy I I' a eviequestionnairesMillionNovemberDataOctober 2002 1

  7. Short Term Energy Outlook, December 2002

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Energy I I' a eviequestionnairesMillionNovemberDataOctober 2002

  8. Short Term Energy Outlook, February 2003

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13 1

  9. Short Term Energy Outlook, January 2003

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13 13 1

  10. Short Term Energy Outlook, March 2003

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13 13 13 1

  11. Short-Term Energy Outlook April 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002‹00

  12. Short-Term Energy Outlook February 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002‹004 1

  13. Short-Term Energy Outlook January 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002‹004 1(STEO)

  14. Short-Term Energy Outlook July 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002‹004

  15. Short-Term Energy Outlook June 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002‹0041 June

  16. Short-Term Energy Outlook March 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002‹0041

  17. Short-Term Energy Outlook May 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002‹0041(STEO)

  18. Short-Term Energy Outlook September 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober

  19. Short-Term Energy Outlook September 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctoberOutlook September

  20. Deviations from Berry--Robnik Distribution Caused by Spectral Accumulation

    E-Print Network [OSTI]

    H. Makino; S. Tasaki

    2004-03-26T23:59:59.000Z

    By extending the Berry--Robnik approach for the nearly integrable quantum systems,\\cite{[1]} we propose one possible scenario of the energy level spacing distribution that deviates from the Berry--Robnik distribution. The result described in this paper implies that deviations from the Berry--Robnik distribution would arise when energy level components show strong accumulation, and otherwise, the level spacing distribution agrees with the Berry--Robnik distribution.

  1. Large deviations principles of Non-Freidlin-Wentzell type

    E-Print Network [OSTI]

    Jaykov Foukzon

    2014-10-22T23:59:59.000Z

    Generalized Large deviation principles was developed for Colombeau-Ito SDE with a random coefficients. We is significantly expand the classical theory of large deviations for randomly perturbed dynamical systems developed by Freidlin and Wentzell.Using SLDP approach, jumps phenomena, in financial markets, also is considered. Jumps phenomena, in financial markets is explained from the first principles, without any reference to Poisson jump process. In contrast with a phenomenological approach we explain such jumps phenomena from the first principles, without any reference to Poisson jump process.

  2. 2015-17 Policy Flash - Class Deviation to DEAR 970.5244-1 | Department...

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

    5-17 Policy Flash - Class Deviation to DEAR 970.5244-1 2015-17 Policy Flash - Class Deviation to DEAR 970.5244-1 The attached Class Deviation to the DEAR is issued to add the...

  3. Policy Flash 2015-15 Class Deviation FAR Test Programs | Department...

    Energy Savers [EERE]

    5 Class Deviation FAR Test Programs Policy Flash 2015-15 Class Deviation FAR Test Programs DATE: March 6, 2015 TO: Procurement DirectorsContracting Officers FROM: Director...

  4. Policy Flash 2013-64 Acquisition Letter 10 and Class Deviation...

    Energy Savers [EERE]

    4 Acquisition Letter 10 and Class Deviation for Nondisplacement of Qualified Workers Policy Flash 2013-64 Acquisition Letter 10 and Class Deviation for Nondisplacement of Qualified...

  5. Solar Radiation Pressure and Deviations from Keplerian Orbits

    E-Print Network [OSTI]

    Roman Ya. Kezerashvili; Justin F. Vazquez-Poritz

    2009-04-15T23:59:59.000Z

    Newtonian gravity and general relativity give exactly the same expression for the period of an object in circular orbit around a static central mass. However, when the effects of the curvature of spacetime and solar radiation pressure are considered simultaneously for a solar sail propelled satellite, there is a deviation from Kepler's third law. It is shown that solar radiation pressure affects the period of this satellite in two ways: by effectively decreasing the solar mass, thereby increasing the period, and by enhancing the effects of other phenomena, rendering some of them detectable. In particular, we consider deviations from Keplerian orbits due to spacetime curvature, frame dragging from the rotation of the sun, the oblateness of the sun, a possible net electric charge of the sun, and a very small positive cosmological constant.

  6. Short-Term Exchange Financial Statement Non-degree, Short-Term, Special Students

    E-Print Network [OSTI]

    for tuition with the estimated cost of your program. Do the same for each category A-G even if you to discuss Visa alternatives. STUDENT INFORMATION LAST/FAMILY NAME, capitalized First/Given Name Middle Name information regarding health insurance visit the ISSS website at http://www.vanderbilt.edu/isss/resources

  7. Internship Contract (Includes Practicum)

    E-Print Network [OSTI]

    Thaxton, Christopher S.

    Internship Contract (Includes Practicum) Student's name-mail: _________________________________________ Internship Agency Contact Agency Name: ____________________________________ Address-mail: __________________________________________ Location of Internship, if different from Agency: ________________________________________________ Copies

  8. Pump apparatus including deconsolidator

    DOE Patents [OSTI]

    Sonwane, Chandrashekhar; Saunders, Timothy; Fitzsimmons, Mark Andrew

    2014-10-07T23:59:59.000Z

    A pump apparatus includes a particulate pump that defines a passage that extends from an inlet to an outlet. A duct is in flow communication with the outlet. The duct includes a deconsolidator configured to fragment particle agglomerates received from the passage.

  9. Living Expenses (includes approximately

    E-Print Network [OSTI]

    Maroncelli, Mark

    & engineering programs All other programs Graduate: MBA/INFSY at Erie & Harrisburg (12 credits) Business Guarantee 3 (Does not include Dependents Costs4 ) Altoona, Berks, Erie, and Harrisburg 12-Month Estimated

  10. Low-energy magnetic radiation: Deviations from GOE

    SciTech Connect (OSTI)

    Frauendorf, S. [University Notre Dame, IN 46557 (United States); Schwengner, R. [IRP, HZDR, 01328 Dresden (Germany); Wimmer, K. [Central Michigan University, Mt. Pleasant, MI 48859 (United States)

    2014-10-15T23:59:59.000Z

    A pronounced spike at low energy in the strength function for magnetic radiation (LEMAR) is found by means of Shell Model calculations, which explains the experimentally observed enhancement of the dipole strength. LEMAR originates from statistical low-energy M1-transitions between many excited complex states. Re-coupling of the proton and neutron high-j orbitals generates the strong magnetic radiation. LEMAR is closely related to Magnetic Rotation. LEMAR is predicted for nuclides participating in the r-process of element synthesis and is expected to change the reaction rates. An exponential decrease of the strength function and a power law for the size distribution of the B(M1) values are found, which strongly deviate from the ones of the GOE of random matrices, which is commonly used to represent complex compound states.

  11. Large Deviations of Extreme Eigenvalues of Random Matrices

    E-Print Network [OSTI]

    David S. Dean; Satya N. Majumdar

    2006-10-23T23:59:59.000Z

    We calculate analytically the probability of large deviations from its mean of the largest (smallest) eigenvalue of random matrices belonging to the Gaussian orthogonal, unitary and symplectic ensembles. In particular, we show that the probability that all the eigenvalues of an (N\\times N) random matrix are positive (negative) decreases for large N as \\exp[-\\beta \\theta(0) N^2] where the parameter \\beta characterizes the ensemble and the exponent \\theta(0)=(\\ln 3)/4=0.274653... is universal. We also calculate exactly the average density of states in matrices whose eigenvalues are restricted to be larger than a fixed number \\zeta, thus generalizing the celebrated Wigner semi-circle law. The density of states generically exhibits an inverse square-root singularity at \\zeta.

  12. Low-energy magnetic radiation: deviations from GOE

    E-Print Network [OSTI]

    S. Frauendorf; R. Schwengner; K. Wimmer

    2014-07-07T23:59:59.000Z

    A pronounced spike at low energy in the strength function for magnetic radiation (LEMAR) is found by means of Shell Model calculations, which explains the experimentally observed enhancement of the dipole strength. LEMAR originates from statistical low-energy M1-transitions between many excited complex states. Re-coupling of the proton and neutron high-j orbitals generates the strong magnetic radiation. LEMAR is closely related to Magnetic Rotation. LEMAR is predicted for nuclides participating in the r-process of element synthesis and is expected to change the reaction rates. An exponential decrease of the strength function and a power law for the size distribution of the $B(M1)$ values are found, which strongly deviate from the ones of the GOE of random matrices, which is commonly used to represent complex compound states.

  13. Large deviations of ergodic counting processes: a statistical mechanics approach

    E-Print Network [OSTI]

    Budini, Adrian A

    2011-01-01T23:59:59.000Z

    The large-deviation method allows to characterize an ergodic counting process in terms of a thermodynamic frame where a free energy function determines the asymptotic non-stationary statistical properties of its fluctuations. Here, we study this formalism through a statistical mechanics approach, i.e., with an auxiliary counting process that maximizes an entropy function associated to the thermodynamic potential. We show that the realizations of this auxiliary process can be obtained after applying a conditional measurement scheme to the original ones, providing is this way an alternative measurement interpretation of the thermodynamic approach. General results are obtained for renewal counting processes, i.e., those where the time intervals between consecutive events are independent and defined by a unique waiting time distribution. The underlying statistical mechanics is controlled by the same waiting time distribution, rescaled by an exponential decay measured by the free energy function. A scale invarianc...

  14. POLICY FLASH 2013-59 Class Deviation (FAR) 19.15, Women-Owned...

    Office of Environmental Management (EM)

    POLICY FLASH 2013-59 Class Deviation (FAR) 19.15, Women-Owned Small Business (WOSB) Program POLICY FLASH 2013-59 Class Deviation (FAR) 19.15, Women-Owned Small Business (WOSB)...

  15. Policy Flash 2013-31 Class Deviation from the Federal Acquisition...

    Energy Savers [EERE]

    31 Class Deviation from the Federal Acquisition Regulation (FAR) 13.5, Test Program for Certain Commercial Items Policy Flash 2013-31 Class Deviation from the Federal Acquisition...

  16. Deviations from ideal nucleation-limited relaxation in high-Ge content compositionally graded SiGe/Si*

    E-Print Network [OSTI]

    Deviations from ideal nucleation-limited relaxation in high-Ge content compositionally graded SiGe the sudden rise in threading dislocation density in Ge-rich relaxed graded SiGe layers grown at higher growth systems, including relaxed graded SiGe on Si substrates i.e., x Si1-xGex /Si ,1,2 InGaP on GaP substrates

  17. Policy Flash 2014-09 Class Deviation from the Department of Energy...

    Energy Savers [EERE]

    , Security Requirements Policy Flash 2014-09 Class Deviation from the Department of Energy Acquisition Regulation (DEAR) 952.204-2, Security Requirements Questions concerning this...

  18. Fast Track Communication Efficiency and large deviations in time-asymmetric

    E-Print Network [OSTI]

    Geissler, Phillip

    -state engine. We find in general that the form of efficiency probability distributions is similar to those systems, molecular motors, large deviations in non-equilibrium systems 1. Introduction As engineeringFast Track Communication Efficiency and large deviations in time-asymmetric stochastic heat engines

  19. Maintaining Standards: Differences between the Standard Deviation and Standard Error, and

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    Maintaining Standards: Differences between the Standard Deviation and Standard Error, and When to Use Each David L Streiner, PhD1 Many people confuse the standard deviation (SD) and the standard error of the mean (SE) and are unsure which, if either, to use in presenting data in graphical or tabular form

  20. Perception, 1990, volume 19, pages 79-101 The standard deviation of luminance as a metric

    E-Print Network [OSTI]

    Kingdom, Frederick A. A.

    Perception, 1990, volume 19, pages 79-101 The standard deviation of luminance as a metric with periodic luminance profiles, such as gratings, but is not suitable for images consisting of isolated the standard deviation (SD) of the luminances (equivalent to the root mean square, RMS, of the amplitudes) has

  1. Global optimization of data quality checks on 2-D and 3-D networks of GPR cross-well tomographic data for automatic correction of unknown well deviations

    SciTech Connect (OSTI)

    Sassen, D. S.; Peterson, J. E.

    2010-03-15T23:59:59.000Z

    Significant errors related to poor time zero estimation, well deviation or mislocation of the transmitter (TX) and receiver (RX) stations can render even the most sophisticated modeling and inversion routine useless. Previous examples of methods for the analysis and correction of data errors in geophysical tomography include the works of Maurer and Green (1997), Squires et al. (1992) and Peterson (2001). Here we follow the analysis and techniques of Peterson (2001) for data quality control and error correction. Through our data acquisition and quality control procedures we have very accurate control on the surface locations of wells, the travel distance of both the transmitter and receiver within the boreholes, and the change in apparent zero time. However, we often have poor control on well deviations, either because of economic constraints or the nature of the borehole itself prevented the acquisition of well deviation logs. Also, well deviation logs can sometimes have significant errors. Problems with borehole deviations can be diagnosed prior to inversion of travel-time tomography data sets by plotting the apparent velocity of a straight ray connecting a transmitter (TX) to a receiver (RX) against the take-off angle of the ray. Issues with the time-zero pick or distances between wells appear as symmetric smiles or frown in these QC plots. Well deviation or dipping-strong anisotropy will result in an asymmetric correlation between apparent velocity and take-off angle (Figure 1-B). In addition, when a network of interconnected GPR tomography data is available, one has the additional quality constraint of insuring that there is continuity in velocity between immediately adjacent tomograms. A sudden shift in the mean velocity indicates that either position deviations are present or there is a shift in the pick times. Small errors in well geometry may be effectively treated during inversion by including weighting, or relaxation, parameters into the inversion (e.g. Bautu et al., 2006). In the technique of algebraic reconstruction tomography (ART), which is used herein for the travel time inversion (Peterson et al., 1985), a small relaxation parameter will smooth imaging artifacts caused by data errors at the expense of resolution and contrast (Figure 2). However, large data errors such as unaccounted well deviations cannot be adequately suppressed through inversion weighting schemes. Previously, problems with tomograms were treated manually. However, in large data sets and/or networks of data sets, trial and error changes to well geometries become increasingly difficult and ineffective. Mislocation of the transmitter and receiver stations of GPR cross-well tomography data sets can lead to serious imaging artifacts if not accounted for prior to inversion. Previously, problems with tomograms have been treated manually prior to inversion. In large data sets and/or networks of tomographic data sets, trial and error changes to well geometries become increasingly difficult and ineffective. Our approach is to use cross-well data quality checks and a simplified model of borehole deviation with particle swarm optimization (PSO) to automatically correct for source and receiver locations prior to tomographic inversion. We present a simple model of well deviation, which is designed to minimize potential corruption of actual data trends. We also provide quantitative quality control measures based on minimizing correlations between take-off angle and apparent velocity, and a quality check on the continuity of velocity between adjacent wells. This methodology is shown to be accurate and robust for simple 2-D synthetic test cases. Plus, we demonstrate the method on actual field data where it is compared to deviation logs. This study shows the promise for automatic correction of well deviations in GPR tomographic data. Analysis of synthetic data shows that very precise estimates of well deviation can be made for small deviations, even in the presence of static data errors. However, the analysis of the synthetic data and the application of

  2. 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 Northern Study Area.

    SciTech Connect (OSTI)

    Finley, Cathy [WindLogics

    2014-04-30T23:59:59.000Z

    This report contains the results from research aimed at improving short-range (0-6 hour) hub-height wind forecasts in the NOAA weather forecast models through additional data assimilation and model physics improvements for use in wind energy forecasting. Additional meteorological observing platforms including wind profilers, sodars, and surface stations were deployed for this study by NOAA and DOE, and additional meteorological data at or near wind turbine hub height were provided by South Dakota State University and WindLogics/NextEra Energy Resources over a large geographical area in the U.S. Northern Plains for assimilation into NOAA research weather forecast models. The resulting improvements in wind energy forecasts based on the research weather forecast models (with the additional data assimilation and model physics improvements) were examined in many different ways and compared with wind energy forecasts based on the current operational weather forecast models to quantify the forecast improvements important to power grid system operators and wind plant owners/operators participating in energy markets. Two operational weather forecast models (OP_RUC, OP_RAP) and two research weather forecast models (ESRL_RAP, HRRR) were used as the base wind forecasts for generating several different wind power forecasts for the NextEra Energy wind plants in the study area. Power forecasts were generated from the wind forecasts in a variety of ways, from very simple to quite sophisticated, as they might be used by a wide range of both general users and commercial wind energy forecast vendors. The error characteristics of each of these types of forecasts were examined and quantified using bulk error statistics for both the local wind plant and the system aggregate forecasts. The wind power forecast accuracy was also evaluated separately for high-impact wind energy ramp events. The overall bulk error statistics calculated over the first six hours of the forecasts at both the individual wind plant and at the system-wide aggregate level over the one year study period showed that the research weather model-based power forecasts (all types) had lower overall error rates than the current operational weather model-based power forecasts, both at the individual wind plant level and at the system aggregate level. The bulk error statistics of the various model-based power forecasts were also calculated by season and model runtime/forecast hour as power system operations are more sensitive to wind energy forecast errors during certain times of year and certain times of day. The results showed that there were significant differences in seasonal forecast errors between the various model-based power forecasts. The results from the analysis of the various wind power forecast errors by model runtime and forecast hour showed that the forecast errors were largest during the times of day that have increased significance to power system operators (the overnight hours and the morning/evening boundary layer transition periods), but the research weather model-based power forecasts showed improvement over the operational weather model-based power forecasts at these times. A comprehensive analysis of wind energy forecast errors for the various model-based power forecasts was presented for a suite of wind energy ramp definitions. The results compiled over the year-long study period showed that the power forecasts based on the research models (ESRL_RAP, HRRR) more accurately predict wind energy ramp events than the current operational forecast models, both at the system aggregate level and at the local wind plant level. At the system level, the ESRL_RAP-based forecasts most accurately predict both the total number of ramp events and the occurrence of the events themselves, but the HRRR-based forecasts more accurately predict the ramp rate. At the individual site level, the HRRR-based forecasts most accurately predicted the actual ramp occurrence, the total number of ramps and the ramp rates (40-60% improvement in ramp rates over the coarser resolution forecast

  3. Hidden State and ShortTerm Memory: A bibliography

    E-Print Network [OSTI]

    Littman, Michael L.

    for hidden markov models. 1993. [ Baum et al., 1970 ] Leonard E. Baum, Ted Petrie, George Soules, and Norman. [ McCallum, 1992 ] R. Andrew McCallum. First results with utile distinction memory for re­ inforcement. [ Moore, 1991 ] Andrew W. Moore. Variable res­ olution dynamic programming: Efficiently learning action

  4. III. -ECONOMY Pig production : short-term prospects

    E-Print Network [OSTI]

    Boyer, Edmond

    feed. The main price formation mechanisms on these markets are explained : the relationships between on the E.E.C. scene, formation of soyabean meal prices within the « oil and protein crop complexand price forecasting H. MAROUBY LT.P., Service Economie, 34, bd de la Gare, 3150!0 Toulouse As pig price

  5. assess short term: Topics by E-print Network

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

    and demand response programs in wholesale power markets with congestion managed by locational marginal prices are derived from DC optimal power flow solutions for day-ahead...

  6. Short-term earthquake prediction by reverse analysis of lithosphere ...

    E-Print Network [OSTI]

    2006-01-17T23:59:59.000Z

    Dec 13, 2005 ... a International Institute for Earthquake Prediction Theory and Mathematical Geophysics, Russian Ac. Sci., Warshavskoe sh.,. 79, korp.

  7. Environmental Studies Short-Term Study Abroad Program

    E-Print Network [OSTI]

    Papautsky, Ian

    GEOG263: People and Environment: Part III: Energy and Mineral Resources GEOG573: The Urban Habitat (3 & Policy EVST/POL602: Global Biodiversity Law & Policy (3 hrs) #12;

  8. Vehicle Technologies Office: Short-Term Lightweight Materials...

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

    face barriers in cost and manufacturing. Manufacturers also face issues with joining, corrosion, repair, and recycling when they combine aluminum with other materials. VTO has...

  9. Integrated Short Term Navigation of a Towed Underwater Body \\Lambda

    E-Print Network [OSTI]

    LeGland, François

    is con­ sidered. An underwater body, to be called here­ after the fish, is towed by a surface ship centimeters, the trajectory of the fish relative to its otherwise unknown initial position, during a few­ cated on board of the fish, can be integrated. INS measurements are known to track accurately the high

  10. Integrated Short Term Navigation of a Towed Underwater Body*

    E-Print Network [OSTI]

    LeGland, François

    . An underwater body, to be called here- after the fish, is towed by a surface ship at the end of a few hundred of the fish relative to its otherwise unknown initial position, during a few minutes experiment, so, acceleration measurements pro- vided by an INS (inertial navigation system) lo- cated on board of the fish, can

  11. Vehicle Technologies Office: Short-Term Lightweight Materials...

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

    for advanced high-strength steel and show how it can be used in vehicles. With the US Automotive Materials Partnership (USAMP) and the Auto Steel Partnership, the Office is...

  12. Newporter Apartments: Deep Energy Retrofit Short-Term Results

    SciTech Connect (OSTI)

    Gordon, A.; Howard, L.; Kunkle, R.; Lubliner, M.; Auer, D.; Clegg, Z.

    2012-12-01T23:59:59.000Z

    This project demonstrates a path to meet the goal of the Building America program to reduce home energy use by 30% in multi-family buildings. The project demonstrates cost effective energy savings targets as well as improved comfort and indoor environmental quality (IEQ) associated with deep energy retrofits by a large public housing authority as part of a larger rehabilitation effort. The project focuses on a typical 1960's vintage low-rise multi-family apartment community (120 units in three buildings).

  13. Microsoft Word - Alcoa_short-term_amendments_CX.docx

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

    the same level of service under an existing power sales contract to the Intalco smelter in Ferndale, WA. These amendments would further extend this service for up to an...

  14. Conditional Reliability Modeling of Short-term River Basin Management

    E-Print Network [OSTI]

    Salazar, A.; Wurbs, R. A.

    2003-01-01T23:59:59.000Z

    , which are highly dependent on known current conditions of reservoir storage. 8 WRAP MODEL: Limitations 0 100 200 300 400 Jan-34 Jan-37 Jan-40 Jan-43 Jan-46 Jan-49 Jan-52 Jan-55 Jan-58 Jan-61 Jan-64 Jan-67 Jan-70 Jan-73 Jan-76 Jan-79 Jan-82 Jan-85 Jan... Q1 (Jan 1939) Q2 (Feb 1939) Q3 (Mar 1939) ? ? Qm (Dec 1939) Output 1 Simulation 2 Q1 (Jan 1940) Q2 (Feb 1940) Q3 (Mar 1940) ? ? Qm (Dec 1940) Output 2 Simulation n Q1 (Jan 2002) Q2 (Feb 2002) Q3 (Mar 2002) ? ? Qm (Dec 2002) Output n INITIAL CONDITION...

  15. SHORT-TERM EVOLUTION OF CORONAL HOLE BOUNDARIES

    SciTech Connect (OSTI)

    Krista, Larisza D.; Gallagher, Peter T.; Bloomfield, D. Shaun [Astrophysics Research Group, School of Physics, Trinity College Dublin, Dublin 2 (Ireland)

    2011-04-20T23:59:59.000Z

    The interaction of open and closed field lines at coronal hole (CH) boundaries is widely accepted to be due to interchange magnetic reconnection. To date, it is unclear how the boundaries vary on short timescales and at what velocity this occurs. Here, we describe an automated boundary tracking method used to determine CH boundary displacements on short timescales. The boundary displacements were found to be isotropic and to have typical expansion/contraction speeds of {<=}2 km s{sup -1}, which indicate magnetic reconnection rates of {<=}3 x 10{sup -3}. The observed displacements were used in conjunction with the interchange reconnection model to derive typical diffusion coefficients of {<=}3 x 10{sup 13} cm{sup 2} s{sup -1}. These results are consistent with an interchange reconnection process in the low corona driven by the random granular motions of open and closed fields in the photosphere.

  16. Modular hybrid pier : fender system short term tests

    E-Print Network [OSTI]

    Lee, Jerry Jing Peng

    2008-01-01T23:59:59.000Z

    Lateral restraint system provided in this testing program was effective to prevent sidesway buckling

  17. Short-Term Operation Scheduling in Renewable-Powered Microgrids

    E-Print Network [OSTI]

    Bornemann, Jens

    existing algorithms; 2) an energy storage system (ESS) with suitable capacity contributes to the self. Cold start-up cost of a unit. Dual function. Forecasted demand in time interval . Emission function of a unit. CDF of wind power forecast error. Fuel cost function of a unit. Hot start-up cost of a unit. L

  18. Energy Information Administration/Short-Term Energy Outlook - April 2005

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarkets EnergyConsumption SurveySurvey99253April

  19. Energy Information Administration/Short-Term Energy Outlook - April 2006

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarkets EnergyConsumption

  20. Energy Information Administration/Short-Term Energy Outlook - July 2005

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarkets EnergyConsumption5 1

  1. February 2013 Short-Term Energy Outlook (STEO)

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarkets EnergyConsumption5Values shown

  2. January 2013 Short-Term Energy Outlook (STEO)

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarketsNov-14 Dec-14Has|Issues inU N E 1 5 , 2

  3. March 2013 Short-Term Energy Outlook (STEO)

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400,Information Administration (EIA) Archive(STEO) Highlights

  4. April 2013 Short-Term Energy and Summer Fuels Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S.5 (Million8103.SourceU.S.and

  5. December 2012 Short-Term Energy Outlook (STEO)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 42Q)2Q)6)2k(STEO) ï‚·

  6. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)2009 201070,174Natural Gas

  7. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)2009 201070,174Natural

  8. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)2009 201070,174Naturalcontinue

  9. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)2009

  10. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75 per MMBtu

  11. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75 per MMBturange

  12. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75 per

  13. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75 per$3.67 per

  14. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75 per$3.67

  15. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75 per$3.67the

  16. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75

  17. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75Now that the

  18. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75Now that theIn

  19. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75Now that

  20. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75Now thatthrough

  1. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75Now thatthrough

  2. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75Now

  3. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75Nowin September

  4. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75Nowin

  5. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75Nowin8 per

  6. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75Nowin8 per4.41

  7. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75Nowin8

  8. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75Nowin8the rest

  9. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75Nowin8the

  10. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and $2.75Nowin8theprices

  11. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 and

  12. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 andEIA projects that

  13. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996)200971 andEIA projects thatThe

  14. Vehicle Technologies Office: Short-Term Lightweight Materials Research

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartment of Energy MicrosoftVOLUME I AThe

  15. Short-Term Energy Outlook April 1999-Summer Gasoline Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002‹

  16. Short-Term Energy Outlook April 2000--STEO Preface

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002‹00 Summer

  17. Electricity storage for short term power system service (Smart Grid

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOEHazel Crest, Illinois:EdinburghEldorado IvanpahGasProject) | Open(Smart

  18. Policy Flash 2014-09 Class Deviation from the Department of Energy...

    Office of Environmental Management (EM)

    Policy Flash 2014-09 Class Deviation from the Department of Energy Acquisition Regulation (DEAR) 952.204-2 Questions concerning this policy flash should be directed to Lawrence...

  19. ccsd-00017207,version1-17Jan2006 Large and moderate deviations principles

    E-Print Network [OSTI]

    Boyer, Edmond

    of the iterated logarithm of the recursive density estima- tor was established by Wegman and Davies (1979 of Wegman (1972), Ahmad and Lin (1976), and Carroll (1976). Recently, large and moderate deviations results

  20. Sonic Logging in Deviated Boreholes in an Anisotropic Formation: Laboratory Study

    E-Print Network [OSTI]

    Zhu, Zhenya

    2006-01-01T23:59:59.000Z

    Deepwater field development requires drilling of deviated or horizontal wells. Most formations encountered can be highly anisotropic and P- and S-wave velocities vary with propagation directions. Sonic logs acquired in ...

  1. FROM DYNAMIC TO STATIC LARGE DEVIATIONS IN BOUNDARY DRIVEN EXCLUSION PARTICLE SYSTEMS

    E-Print Network [OSTI]

    developments on the non­equilibrium stationary measures by Derrida, Lebowitz and Speer [4] and the more closely, Derrida, Lebowitz and Speer [4] obtained the explicit form of the rate function for the large deviation

  2. Constraints on adaptation: explaining deviation from optimal sex ratio using artificial neural networks

    E-Print Network [OSTI]

    West, Stuart

    Y Keywords: adaptation; artificial neural networks; evolutionary constraints; parasitoid; sex ratio by modelling information acquisition and processing using artificial neural networks (ANNs) evolving accordingConstraints on adaptation: explaining deviation from optimal sex ratio using artificial neural

  3. Deviations from tribimaximal mixing due to the vacuum expectation value misalignment in A{sub 4} models

    SciTech Connect (OSTI)

    Barry, James; Rodejohann, Werner

    2010-05-01T23:59:59.000Z

    The addition of an A{sub 4} family symmetry and extended Higgs sector to the standard model can generate the tribimaximal mixing pattern for leptons, assuming the correct vacuum expectation value alignment of the Higgs scalars. Deviating this alignment affects the predictions for the neutrino oscillation and neutrino mass observables. An attempt is made to classify the plethora of models in the literature, with respect to the chosen A{sub 4} particle assignments. Of these models, two particularly popular examples have been analyzed for deviations from tribimaximal mixing by perturbing the vacuum expectation value alignments. The effect of perturbations on the mixing angle observables is studied. However, it is only investigation of the mass-related observables (the effective mass for neutrinoless double beta decay and the sum of masses from cosmology) that can lead to the exclusion of particular models by constraints from future data, which indicates the importance of neutrino mass in disentangling models. The models have also been tested for fine-tuning of the parameters. Furthermore, a well-known seesaw model is generalized to include additional scalars, which transform as representations of A{sub 4} not included in the original model.

  4. Short-Term Load Forecasting This paper discusses the state of the art in short-term load fore-

    E-Print Network [OSTI]

    Gross, George

    spectrum of time intervals. In therange of seconds, when load variationsare small and random, the automatic by a number of generation control functions such as hydro scheduling, unit commitment, hydro-ther- mal present, functions such as fuel, hydro, and maintenance scheduling are performed to ensure that the load

  5. Countries Gasoline Prices Including Taxes

    Gasoline and Diesel Fuel Update (EIA)

    Selected Countries (U.S. dollars per gallon, including taxes) Date Belgium France Germany Italy Netherlands UK US 51115 6.15 6.08 6.28 6.83 6.96 6.75 3.06 5415 6.14 6.06...

  6. Sponsorship includes: Agriculture in the

    E-Print Network [OSTI]

    Nebraska-Lincoln, University of

    Sponsorship includes: · Agriculture in the Classroom · Douglas County Farm Bureau · Gifford Farm · University of Nebraska Agricultural Research and Development Center · University of Nebraska- Lincoln Awareness Coalition is to help youth, primarily from urban communities, become aware of agriculture

  7. LARGE DEVIATIONS AND THE THERMODYNAMIC FORMALISM: A NEW PROOF OF THE EQUIVALENCE OF ENSEMBLES a

    E-Print Network [OSTI]

    LARGE DEVIATIONS AND THE THERMODYNAMIC FORMALISM: A NEW PROOF OF THE EQUIVALENCE OF ENSEMBLES a J The Equivalence of Ensembles In statistical mechanics the problem of the equivalence of ensembles goes back, the microcanonical measures and the grand canonical measures are equivalent; making precise the meaning

  8. Moment-based Uniform Deviation Bounds for k-means and Friends

    E-Print Network [OSTI]

    Wang, Deli

    Moment-based Uniform Deviation Bounds for k-means and Friends Matus Telgarsky Sanjoy Dasgupta are fit to m points by heuristically minimizing the k-means cost; what is the corresponding fit over this mechanism, a soft clustering variant of k-means cost is also considered, namely the log likelihood of a Gaus

  9. High speed cutting with industrial robots: Towards model based compensation of deviations

    E-Print Network [OSTI]

    Stryk, Oskar von

    High speed cutting with industrial robots: Towards model based compensation of deviations Modeling and numerical simulation of the industrial robot with elastic joints Dr.-Ing. M. Stelzer and Prof. Dr. rer. nat, [abele|bauer|weigold]@ptw.tu-darmstadt.de Abstract Application of industrial robots for high speed

  10. Deviational simulation of phonon transport in graphene ribbons with ab initio scattering

    SciTech Connect (OSTI)

    Landon, Colin D.; Hadjiconstantinou, Nicolas G. [Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139 (United States)

    2014-10-28T23:59:59.000Z

    We present a deviational Monte Carlo method for solving the Boltzmann-Peierls equation with ab initio 3-phonon scattering, for temporally and spatially dependent thermal transport problems in arbitrary geometries. Phonon dispersion relations and transition rates for graphene are obtained from density functional theory calculations. The ab initio scattering operator is simulated by an energy-conserving stochastic algorithm embedded within a deviational, low-variance Monte Carlo formulation. The deviational formulation ensures that simulations are computationally feasible for arbitrarily small temperature differences, while the stochastic treatment of the scattering operator is both efficient and exhibits no timestep error. The proposed method, in which geometry and phonon-boundary scattering are explicitly treated, is extensively validated by comparison to analytical results, previous numerical solutions and experiments. It is subsequently used to generate solutions for heat transport in graphene ribbons of various geometries and evaluate the validity of some common approximations found in the literature. Our results show that modeling transport in long ribbons of finite width using the homogeneous Boltzmann equation and approximating phonon-boundary scattering using an additional homogeneous scattering rate introduces an error on the order of 10% at room temperature, with the maximum deviation reaching 30% in the middle of the transition regime.

  11. Rights in Data-Facilities (BESC Deviation) UT-Battelle Contracts Page 1 of 5

    E-Print Network [OSTI]

    Pennycook, Steve

    for other data specifically protected by statute for a period of time; (iii) The right to inspect technical-BESC-oct07.doc Exhibit 9RDF - BESC (BESC Deviation) RIGHTS IN DATA-FACILITIES (BioEnergy Science Center [BESC, or statements, regardless of the media in which recorded, that allow or cause a computer to perform a specific

  12. MHC Class II Tetramers and the Pursuit of Antigen-specific T cells: Define, Deviate, Delete

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 MHC Class II Tetramers and the Pursuit of Antigen-specific T cells: Define, Deviate, Delete Class II tetramers Corresponding Author: Roberto Mallone, MD Benaroya Research Institute at Virginia secretion and proliferation. The advent of MHC Class II tetramers has added a pivotal tool to our research

  13. Motions and world-line deviations in Einstein-Maxwell theory

    E-Print Network [OSTI]

    A. Balakin; J. W. van Holten; R. Kerner

    2000-09-06T23:59:59.000Z

    We examine the motion of charged particles in gravitational and electro-magnetic background fields. We study in particular the deviation of world lines, describing the relative acceleration between particles on different space-time trajectories. Two special cases of background fields are considered in detail: (a) pp-waves, a combination of gravitational and electro-magnetic polarized plane waves travelling in the same direction; (b) the Reissner-Nordstr{\\o}m solution. We perform a non-trivial check by computing the precession of the periastron for a charged particle in the Reissner-Nordstr{\\o}m geometry both directly by solving the geodesic equation, and using the world-line deviation equation. The results agree to the order of approximation considered.

  14. hal-00169265,version1-3Sep2007 LARGE DEVIATION FOR RETURN TIMES IN OPEN SETS FOR

    E-Print Network [OSTI]

    Boyer, Edmond

    -times into A satisfies a LDP for the measure µ near the average. A powerful method in Large Deviation Theory is to provehal-00169265,version1-3Sep2007 LARGE DEVIATION FOR RETURN TIMES IN OPEN SETS FOR AXIOM, we prove a Large devi- ation result for the sequence of successive return times into a fixed open set

  15. Policy Flash 2015-04 - Class Deviation: Min Wage | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSAR - T enAmount for Individual Executive4 - Class Deviation: Min

  16. SCALING DEVIATIONS F O R NEUTRINO REACTIONS IN AYSMPTOTICALLY FREE FIELD THEORIES*

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection245C Unlimited Release PrintedDEVIATIONS F O R NEUTRINO REACTIONS IN

  17. Microsoft Word - Flash2006-47DeviatedClauseII.doc | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015of 2005 atthe DistrictIndependent Research AssessmentofFlash2006-47 Deviated

  18. Attacks exploiting deviation of mean photon number in quantum key distribution and coin tossing

    E-Print Network [OSTI]

    Shihan Sajeed; Igor Radchenko; Sarah Kaiser; Jean-Philippe Bourgoin; Anna Pappa; Laurent Monat; Matthieu Legre; Vadim Makarov

    2015-03-30T23:59:59.000Z

    The security of quantum communication using a weak coherent source requires an accurate knowledge of the source's mean photon number. Finite calibration precision or an active manipulation by an attacker may cause the actual emitted photon number to deviate from the known value. We model effects of this deviation on the security of three quantum communication protocols: the Bennett-Brassard 1984 (BB84) quantum key distribution (QKD) protocol without decoy states, Scarani-Acin-Ribordy-Gisin 2004 (SARG04) QKD protocol, and a coin-tossing protocol. For QKD, we model both a strong attack using technology possible in principle, and a realistic attack bounded by today's technology. To maintain the mean photon number in two-way systems, such as plug-and-play and relativistic quantum cryptography schemes, bright pulse energy incoming from the communication channel must be monitored. Implementation of a monitoring detector has largely been ignored so far, except for ID Quantique's commercial QKD system Clavis2. We scrutinize this implementation for security problems, and show that designing a hack-proof pulse-energy-measuring detector is far from trivial. Indeed the first implementation has three serious flaws confirmed experimentally, each of which may be exploited in a cleverly constructed Trojan-horse attack. We discuss requirements for a loophole-free implementation of the monitoring detector.

  19. Particle dynamics and deviation effects in the field of a strong electromagnetic wave

    E-Print Network [OSTI]

    Donato Bini; Andrea Geralico; Maria Haney; Antonello Ortolan

    2014-08-23T23:59:59.000Z

    Some strong field effects on test particle motion associated with the propagation of a plane electromagnetic wave in the exact theory of general relativity are investigated. Two different profiles of the associated radiation flux are considered in comparison, corresponding to either constant or oscillating electric and magnetic fields with respect to a natural family of observers. These are the most common situations to be experimentally explored, and have a well known counterpart in the flat spacetime limit. The resulting line elements are determined by a single metric function, which turns out to be expressed in terms of standard trigonometric functions in the case of a constant radiation flux, and in terms of special functions in the case of oscillating flux, leading to different features of test particle motion. The world line deviation between both uncharged and charged particles on different spacetime trajectories due to the combined effect of gravitational and electromagnetic forces is studied. The interaction of charged particles with the background radiation field is also discussed through a general relativistic description of the inverse Compton effect. Motion as well as deviation effects on particles endowed with spin are studied too. Special situations may occur in which the direction of the spin vector change during the interaction, leading to obsevables effects like spin-flip.

  20. Possible deviation from the tri-bimaximal neutrino mixing in a seesaw model

    SciTech Connect (OSTI)

    Kang, Sin Kyu; Xing Zhizhong; Zhou Shun [School of Physics, Seoul National University, Seoul 151-734 (Korea, Republic of); CCAST (World Laboratory), P.O. Box 8730, Beijing 100080 (China) and Institute of High Energy Physics, Chinese Academy of Sciences, P.O. Box 918, Beijing 100049 (China)

    2006-01-01T23:59:59.000Z

    We propose a simple but suggestive seesaw model with two phenomenological conjectures: three heavy (right-handed) Majorana neutrinos are degenerate in mass in the symmetry limit and three light Majorana neutrinos have the tri-bimaximal mixing pattern V{sub 0}. We show that a small mass splitting between the first generation and the other two generations of heavy Majorana neutrinos is responsible for the deviation of the solar neutrino mixing angle {theta}{sub 12} from its initial value 35.3 deg. given by V{sub 0}, and the slight breaking of the mass degeneracy between the second and third generations of heavy Majorana neutrinos results in a small mixing angle {theta}{sub 13} and a tiny departure of the atmospheric neutrino mixing angle {theta}{sub 23} from 45 deg. It turns out that a normal hierarchy of the light neutrino mass spectrum is favored in this seesaw scenario.

  1. Borehole deviation surveys are necessary for hydraulic fracture monitoring Leo Eisner, Schlumberger Cambridge Research, Petr Bulant, Charles University in Prague, Jol H. Le Calvez*,

    E-Print Network [OSTI]

    Cerveny, Vlastislav

    Borehole deviation surveys are necessary for hydraulic fracture monitoring Leo Eisner, Schlumberger Not performing accurate borehole deviation surveys for hydraulic fracture monitoring (HFM) and neglecting fracture parameters. Introduction Recently a large number of hydraulic fracture treatments have been

  2. Correlations of Disk and Jet Emission Deviating from the Fundamental Plane

    E-Print Network [OSTI]

    Lin, Da-Bin; Mu, Hui-Jun; Lu, Zu-Jia; Ma, Ren-Yi; Liang, En-Wei

    2015-01-01T23:59:59.000Z

    The variability of accretion rate, which is believed to induce the aperiodic variability of X-ray emission from disk, may affect the energy injection into the jet. In this spirit, a correlation between disk emission and jet emission can be formed even if the mean luminosity of disk emission keeps constant. In this work, these correlations are found in the situation that the luminosity of disk emission is variable and kept with a constant mean value. The obtained correlations may be shallower than that of the fundamental plane of black hole activity. In addition, the slope of correlation may increase with increasing observed frequency of jet emission. For the luminosities spacing with three days, the slope of correlation decreases with increasing black hole mass. The deviation of our found correlations from that of the fundamental plane is related to the suppression of variability in the jet emission in comparison with that in the disk emission. This mechanism may work in some sources in which shallower correl...

  3. Large deviations for many Brownian bridges with symmetrised initial-terminal condition

    E-Print Network [OSTI]

    Stefan Adams; Wolfgang König

    2006-03-30T23:59:59.000Z

    Consider a large system of $N$ Brownian motions in $\\mathbb{R}^d$ with some non-degenerate initial measure on some fixed time interval $[0,\\beta]$ with symmetrised initial-terminal condition. That is, for any $i$, the terminal location of the $i$-th motion is affixed to the initial point of the $\\sigma(i)$-th motion, where $\\sigma$ is a uniformly distributed random permutation of $1,...,N$. Such systems play an important role in quantum physics in the description of Boson systems at positive temperature $1/\\beta$. In this paper, we describe the large-N behaviour of the empirical path measure (the mean of the Dirac measures in the $N$ paths) and of the mean of the normalised occupation measures of the $N$ motions in terms of large deviations principles. The rate functions are given as variational formulas involving certain entropies and Fenchel-Legendre transforms. Consequences are drawn for asymptotic independence statements and laws of large numbers. In the special case related to quantum physics, our rate function for the occupation measures turns out to be equal to the well-known Donsker-Varadhan rate function for the occupation measures of one motion in the limit of diverging time. This enables us to prove a simple formula for the large-N asymptotic of the symmetrised trace of ${\\rm e}^{-\\beta \\mathcal{H}_N}$, where $\\mathcal{H}_N$ is an $N$-particle Hamilton operator in a trap.

  4. Fluctuation theorem and large deviation function for a solvable model of a molecular motor

    E-Print Network [OSTI]

    D. Lacoste; A. W. C. Lau; K. Mallick

    2008-07-01T23:59:59.000Z

    We study a discrete stochastic model of a molecular motor. This discrete model can be viewed as a \\emph{minimal} ratchet model. We extend our previous work on this model, by further investigating the constraints imposed by the Fluctuation Theorem on the operation of a molecular motor far from equilibrium. In this work, we show the connections between different formulations of the Fluctuation Theorem. One formulation concerns the generating function of the currents while another one concerns the corresponding large deviation function, which we have calculated exactly for this model. A third formulation of FT concerns the ratio of the probability of making one forward step to the probability of making one backward step. The predictions of this last formulation of the Fluctuation Theorem adapted to our model are in very good agreement with the data of Carter and Cross [Nature, {\\bf 435}, 308 (2005)] on single molecule measurements with kinesin. Finally, we show that all the formulations of FT can be understood from the notion of entropy production.

  5. Abstract --The Robotic Gait Rehabilitation (RGR) Trainer, was designed and built to target secondary gait deviations in

    E-Print Network [OSTI]

    Mavroidis, Constantinos

    secondary gait deviations in patients post - stroke. Using an impedance control strategy and a linear functional recovery in stroke survivors. Unfortunately, the rehabilitation process is labor intensive, since during swing). To our knowledge, only one robotic device so far attempts to address secondary gait

  6. Large-deviation principles, stochastic effective actions, path entropies, and the structure and meaning of thermodynamic descriptions

    E-Print Network [OSTI]

    Eric Smith

    2011-02-18T23:59:59.000Z

    The meaning of thermodynamic descriptions is found in large-deviations scaling of the fluctuations probabilities. The primary large-deviations rate function is the entropy, which is the basis for both fluctuation theorems and for characterizing the thermodynamic interactions of systems. Freidlin-Wentzell theory provides a general formulation of large-deviations scaling for non-equilibrium stochastic processes, through a representation in terms of a Hamiltonian dynamical system. A number of related methods now exist to construct the Freidlin-Wentzell Hamiltonian for many kinds of stochastic processes; one method due to Doi and Peliti, appropriate to integer counting statistics, is widely used in reaction-diffusion theory. Using these tools together with a path-entropy method due to Jaynes, we show how to construct entropy functions that both express large-deviations scaling of fluctuations, and describe system-environment interactions, for discrete stochastic processes either at or away from equilibrium. A collection of variational methods familiar within quantum field theory, but less commonly applied to the Doi-Peliti construction, is used to define a "stochastic effective action", which is the large-deviations rate function for arbitrary non-equilibrium paths. We show how common principles of entropy maximization, applied to different ensembles of states or of histories, lead to different entropy functions and different sets of thermodynamic state variables. Yet the relations of among all these levels of description may be constructed explicitly and understood in terms of information conditions. The example systems considered introduce methods that may be used to systematically construct descriptions with all the features familiar from equilibrium thermodynamics, for a much wider range of systems describable by stochastic processes.

  7. MHK technologies include current energy conversion

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

    research leverages decades of experience in engineering and design and analysis (D&A) of wind power technologies, and its vast research complex, including high-performance...

  8. EE Regional Technology Roadmap Includes comparison

    E-Print Network [OSTI]

    EE Regional Technology Roadmap Includes comparison against 6th Power Plan (Update cyclically Data Clearinghouse BPA/RTF NEEA/Regional Programs Group Update Regional EE Technology Roadmap Lighting

  9. DIDACTICAL HOLOGRAPHIC EXHIBIT INCLUDING (HOLOGRAPHIC TELEVISION)

    E-Print Network [OSTI]

    de Aguiar, Marcus A. M.

    DIDACTICAL HOLOGRAPHIC EXHIBIT INCLUDING HoloTV (HOLOGRAPHIC TELEVISION) José J. Lunazzi , DanielCampinasSPBrasil Abstract: Our Institute of Physics exposes since 1980 didactical exhibitions of holography in Brazil where

  10. Sessions include: Beginning Farmer and Rancher

    E-Print Network [OSTI]

    Watson, Craig A.

    Sessions include: ­ Beginning Farmer and Rancher ­ New Markets and Regulations ­ Food Safety ­ Good Bug, Bad Bug ID ­ Horticulture ­ Hydroponics ­ Livestock and Pastured Poultry ­ Mushrooms ­ Organic ­ Live animal exhibits ­ Saturday evening social, and ­ Local foods Florida Small Farms and Alternative

  11. Gas storage materials, including hydrogen storage materials

    DOE Patents [OSTI]

    Mohtadi, Rana F; Wicks, George G; Heung, Leung K; Nakamura, Kenji

    2014-11-25T23:59:59.000Z

    A material for the storage and release of gases comprises a plurality of hollow elements, each hollow element comprising a porous wall enclosing an interior cavity, the interior cavity including structures of a solid-state storage material. In particular examples, the storage material is a hydrogen storage material, such as a solid state hydride. An improved method for forming such materials includes the solution diffusion of a storage material solution through a porous wall of a hollow element into an interior cavity.

  12. Gas storage materials, including hydrogen storage materials

    DOE Patents [OSTI]

    Mohtadi, Rana F; Wicks, George G; Heung, Leung K; Nakamura, Kenji

    2013-02-19T23:59:59.000Z

    A material for the storage and release of gases comprises a plurality of hollow elements, each hollow element comprising a porous wall enclosing an interior cavity, the interior cavity including structures of a solid-state storage material. In particular examples, the storage material is a hydrogen storage material such as a solid state hydride. An improved method for forming such materials includes the solution diffusion of a storage material solution through a porous wall of a hollow element into an interior cavity.

  13. Reliable detection of fluence anomalies in EPID-based IMRT pretreatment quality assurance using pixel intensity deviations

    SciTech Connect (OSTI)

    Gordon, J. J.; Gardner, J. K.; Wang, S.; Siebers, J. V. [Department of Radiation Oncology, Henry Ford Health System, Detroit, Michigan 48202 (United States); Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298 (United States); Department of Radiation Oncology, Weill Cornell Medical College, New York, New York 10095 (United States); Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia 23298 (United States)

    2012-08-15T23:59:59.000Z

    Purpose: This work uses repeat images of intensity modulated radiation therapy (IMRT) fields to quantify fluence anomalies (i.e., delivery errors) that can be reliably detected in electronic portal images used for IMRT pretreatment quality assurance. Methods: Repeat images of 11 clinical IMRT fields are acquired on a Varian Trilogy linear accelerator at energies of 6 MV and 18 MV. Acquired images are corrected for output variations and registered to minimize the impact of linear accelerator and electronic portal imaging device (EPID) positioning deviations. Detection studies are performed in which rectangular anomalies of various sizes are inserted into the images. The performance of detection strategies based on pixel intensity deviations (PIDs) and gamma indices is evaluated using receiver operating characteristic analysis. Results: Residual differences between registered images are due to interfraction positional deviations of jaws and multileaf collimator leaves, plus imager noise. Positional deviations produce large intensity differences that degrade anomaly detection. Gradient effects are suppressed in PIDs using gradient scaling. Background noise is suppressed using median filtering. In the majority of images, PID-based detection strategies can reliably detect fluence anomalies of {>=}5% in {approx}1 mm{sup 2} areas and {>=}2% in {approx}20 mm{sup 2} areas. Conclusions: The ability to detect small dose differences ({<=}2%) depends strongly on the level of background noise. This in turn depends on the accuracy of image registration, the quality of the reference image, and field properties. The longer term aim of this work is to develop accurate and reliable methods of detecting IMRT delivery errors and variations. The ability to resolve small anomalies will allow the accuracy of advanced treatment techniques, such as image guided, adaptive, and arc therapies, to be quantified.

  14. Electric Power Monthly, August 1990. [Glossary included

    SciTech Connect (OSTI)

    Not Available

    1990-11-29T23:59:59.000Z

    The Electric Power Monthly (EPM) presents monthly summaries of electric utility statistics at the national, Census division, and State level. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data includes generation by energy source (coal, oil, gas, hydroelectric, and nuclear); generation by region; consumption of fossil fuels for power generation; sales of electric power, cost data; and unusual occurrences. A glossary is included.

  15. Communication in automation, including networking and wireless

    E-Print Network [OSTI]

    Antsaklis, Panos

    Communication in automation, including networking and wireless Nicholas Kottenstette and Panos J and networking in automation is given. Digital communication fundamentals are reviewed and networked control are presented. 1 Introduction 1.1 Why communication is necessary in automated systems Automated systems use

  16. Electrochemical cell including ribbed electrode substrates

    SciTech Connect (OSTI)

    Breault, R.D.; Goller, G.J.; Roethlein, R.J.; Sprecher, G.C.

    1981-07-21T23:59:59.000Z

    An electrochemical cell including an electrolyte retaining matrix layer located between and in contact with cooperating anode and cathode electrodes is disclosed herein. Each of the electrodes is comprised of a ribbed (or grooved) substrate including a gas porous body as its main component and a catalyst layer located between the substrate and one side of the electrolyte retaining matrix layer. Each substrate body includes a ribbed section for receiving reactant gas and lengthwise side portions on opposite sides of the ribbed section. Each of the side portions includes a channel extending along its entire length from one surface thereof (e.g., its outer surface) to but stopping short of an opposite surface (e.g., its inner surface) so as to provide a web directly between the channel and the opposite surface. Each of the channels is filled with a gas impervious substance and each of the webs is impregnated with a gas impervious substance so as to provide a gas impervious seal along the entire length of each side portion of each substrate and between the opposite faces thereof (e.g., across the entire thickness thereof).

  17. Prices include compostable serviceware and linen tablecloths

    E-Print Network [OSTI]

    California at Davis, University of

    & BLACK BEAN ENCHILADAS Fresh corn tortillas stuffed with tender brown butter sautéed butternut squash, black beans and yellow on- ions, garnished with avocado and sour cream. $33 per person EDAMAME & CORN SQUASH & BLACK BEAN ENCHILADA FREE RANGE CHICK- EN SANDWICH PLATED ENTREES All plated entrees include

  18. Energy Consumption of Personal Computing Including Portable

    E-Print Network [OSTI]

    Namboodiri, Vinod

    Energy Consumption of Personal Computing Including Portable Communication Devices Pavel Somavat1 consumption, questions are being asked about the energy contribution of computing equipment. Al- though studies have documented the share of energy consumption by this type of equipment over the years, research

  19. Subterranean barriers including at least one weld

    DOE Patents [OSTI]

    Nickelson, Reva A.; Sloan, Paul A.; Richardson, John G.; Walsh, Stephanie; Kostelnik, Kevin M.

    2007-01-09T23:59:59.000Z

    A subterranean barrier and method for forming same are disclosed, the barrier including a plurality of casing strings wherein at least one casing string of the plurality of casing strings may be affixed to at least another adjacent casing string of the plurality of casing strings through at least one weld, at least one adhesive joint, or both. A method and system for nondestructively inspecting a subterranean barrier is disclosed. For instance, a radiographic signal may be emitted from within a casing string toward an adjacent casing string and the radiographic signal may be detected from within the adjacent casing string. A method of repairing a barrier including removing at least a portion of a casing string and welding a repair element within the casing string is disclosed. A method of selectively heating at least one casing string forming at least a portion of a subterranean barrier is disclosed.

  20. Power generation method including membrane separation

    DOE Patents [OSTI]

    Lokhandwala, Kaaeid A. (Union City, CA)

    2000-01-01T23:59:59.000Z

    A method for generating electric power, such as at, or close to, natural gas fields. The method includes conditioning natural gas containing C.sub.3+ hydrocarbons and/or acid gas by means of a membrane separation step. This step creates a leaner, sweeter, drier gas, which is then used as combustion fuel to run a turbine, which is in turn used for power generation.

  1. Rotor assembly including superconducting magnetic coil

    DOE Patents [OSTI]

    Snitchler, Gregory L. (Shrewsbury, MA); Gamble, Bruce B. (Wellesley, MA); Voccio, John P. (Somerville, MA)

    2003-01-01T23:59:59.000Z

    Superconducting coils and methods of manufacture include a superconductor tape wound concentrically about and disposed along an axis of the coil to define an opening having a dimension which gradually decreases, in the direction along the axis, from a first end to a second end of the coil. Each turn of the superconductor tape has a broad surface maintained substantially parallel to the axis of the coil.

  2. Electric power monthly, September 1990. [Glossary included

    SciTech Connect (OSTI)

    Not Available

    1990-12-17T23:59:59.000Z

    The purpose of this report is to provide energy decision makers with accurate and timely information that may be used in forming various perspectives on electric issues. The power plants considered include coal, petroleum, natural gas, hydroelectric, and nuclear power plants. Data are presented for power generation, fuel consumption, fuel receipts and cost, sales of electricity, and unusual occurrences at power plants. Data are compared at the national, Census division, and state levels. 4 figs., 52 tabs. (CK)

  3. Gyroscope deviation from geodesic motion: quasiresonant oscillations on a circular orbit

    E-Print Network [OSTI]

    O. B. Karpov

    2003-01-17T23:59:59.000Z

    General relativistic spin-orbit interaction leads to the quasiresonant oscillation of the gyroscope mass center along the orbital normal. The beating amplitude does not include the speed of light and equals the ratio of the intrinsic momentum of the gyroscope to its orbital momentum. The modulation frequency equals the angular velocity of the geodetic precession that prevents the oscillation from resonance. The oscillation represents the precession of the gyroscope orbital momentum. Within an acceptable time the oscillation amplitude reaches the values that are amenable to being analyzed experimentally. Taking into account the source oblateness decreases the beating amplitude and increases the modulation frequency by the factor that is equal to the ratio of the quadrupole precession velocity to the geodetic precession velocity. The period of the quadrupole precession turns out to be a quite sufficient time to form a measurable amplitude of the oscillation.

  4. Multiverse rate equation including bubble collisions

    E-Print Network [OSTI]

    Michael P. Salem

    2013-02-19T23:59:59.000Z

    The volume fractions of vacua in an eternally inflating multiverse are described by a coarse-grain rate equation, which accounts for volume expansion and vacuum transitions via bubble formation. We generalize the rate equation to account for bubble collisions, including the possibility of classical transitions. Classical transitions can modify the details of the hierarchical structure among the volume fractions, with potential implications for the staggering and Boltzmann-brain issues. Whether or not our vacuum is likely to have been established by a classical transition depends on the detailed relationships among transition rates in the landscape.

  5. Optical panel system including stackable waveguides

    DOE Patents [OSTI]

    DeSanto, Leonard (Dunkirk, MD); Veligdan, James T. (Manorville, NY)

    2007-11-20T23:59:59.000Z

    An optical panel system including stackable waveguides is provided. The optical panel system displays a projected light image and comprises a plurality of planar optical waveguides in a stacked state. The optical panel system further comprises a support system that aligns and supports the waveguides in the stacked state. In one embodiment, the support system comprises at least one rod, wherein each waveguide contains at least one hole, and wherein each rod is positioned through a corresponding hole in each waveguide. In another embodiment, the support system comprises at least two opposing edge structures having the waveguides positioned therebetween, wherein each opposing edge structure contains a mating surface, wherein opposite edges of each waveguide contain mating surfaces which are complementary to the mating surfaces of the opposing edge structures, and wherein each mating surface of the opposing edge structures engages a corresponding complementary mating surface of the opposite edges of each waveguide.

  6. Optical panel system including stackable waveguides

    DOE Patents [OSTI]

    DeSanto, Leonard; Veligdan, James T.

    2007-03-06T23:59:59.000Z

    An optical panel system including stackable waveguides is provided. The optical panel system displays a projected light image and comprises a plurality of planar optical waveguides in a stacked state. The optical panel system further comprises a support system that aligns and supports the waveguides in the stacked state. In one embodiment, the support system comprises at least one rod, wherein each waveguide contains at least one hole, and wherein each rod is positioned through a corresponding hole in each waveguide. In another embodiment, the support system comprises at least two opposing edge structures having the waveguides positioned therebetween, wherein each opposing edge structure contains a mating surface, wherein opposite edges of each waveguide contain mating surfaces which are complementary to the mating surfaces of the opposing edge structures, and wherein each mating surface of the opposing edge structures engages a corresponding complementary mating surface of the opposite edges of each waveguide.

  7. Thermovoltaic semiconductor device including a plasma filter

    DOE Patents [OSTI]

    Baldasaro, Paul F. (Clifton Park, NY)

    1999-01-01T23:59:59.000Z

    A thermovoltaic energy conversion device and related method for converting thermal energy into an electrical potential. An interference filter is provided on a semiconductor thermovoltaic cell to pre-filter black body radiation. The semiconductor thermovoltaic cell includes a P/N junction supported on a substrate which converts incident thermal energy below the semiconductor junction band gap into electrical potential. The semiconductor substrate is doped to provide a plasma filter which reflects back energy having a wavelength which is above the band gap and which is ineffectively filtered by the interference filter, through the P/N junction to the source of radiation thereby avoiding parasitic absorption of the unusable portion of the thermal radiation energy.

  8. Imprints of deviations from the gravitational inverse-square law on the power spectrum of mass fluctuations

    E-Print Network [OSTI]

    M. Sereno; J. A. Peacock

    2006-05-19T23:59:59.000Z

    Deviations from the gravitational inverse-square law would imprint scale-dependent features on the power spectrum of mass density fluctuations. We model such deviations as a Yukawa-like contribution to the gravitational potential and discuss the growth function in a mixed dark matter model with adiabatic initial conditions. Evolution of perturbations is considered in general non-flat cosmological models with a cosmological constant, and an analytical approximation for the growth function is provided. The coupling between baryons and cold dark matter across recombination is negligibly affected by modified gravity physics if the proper cutoff length of the long-range Yukawa-like force is > 10 h^{-1} Mpc. Enhancement of gravity affects the subsequent evolution, boosting large-scale power in a way that resembles the effect of a lower matter density. This phenomenon is almost perfectly degenerate in power-spectrum shape with the effect of a background of massive neutrinos. Back-reaction on density growth from a modified cosmic expansion rate should however also affect the normalization of the power spectrum, with a shape distortion similar to the case of a non-modified background.

  9. Engine lubrication circuit including two pumps

    DOE Patents [OSTI]

    Lane, William H.

    2006-10-03T23:59:59.000Z

    A lubrication pump coupled to the engine is sized such that the it can supply the engine with a predetermined flow volume as soon as the engine reaches a peak torque engine speed. In engines that operate predominately at speeds above the peak torque engine speed, the lubrication pump is often producing lubrication fluid in excess of the predetermined flow volume that is bypassed back to a lubrication fluid source. This arguably results in wasted power. In order to more efficiently lubricate an engine, a lubrication circuit includes a lubrication pump and a variable delivery pump. The lubrication pump is operably coupled to the engine, and the variable delivery pump is in communication with a pump output controller that is operable to vary a lubrication fluid output from the variable delivery pump as a function of at least one of engine speed and lubrication flow volume or system pressure. Thus, the lubrication pump can be sized to produce the predetermined flow volume at a speed range at which the engine predominately operates while the variable delivery pump can supplement lubrication fluid delivery from the lubrication pump at engine speeds below the predominant engine speed range.

  10. Models of Procyon A including seismic constraints

    E-Print Network [OSTI]

    P. Eggenberger; F. Carrier; F. Bouchy

    2005-01-14T23:59:59.000Z

    Detailed models of Procyon A based on new asteroseismic measurements by Eggenberger et al (2004) have been computed using the Geneva evolution code including shellular rotation and atomic diffusion. By combining all non-asteroseismic observables now available for Procyon A with these seismological data, we find that the observed mean large spacing of 55.5 +- 0.5 uHz favours a mass of 1.497 M_sol for Procyon A. We also determine the following global parameters of Procyon A: an age of t=1.72 +- 0.30 Gyr, an initial helium mass fraction Y_i=0.290 +- 0.010, a nearly solar initial metallicity (Z/X)_i=0.0234 +- 0.0015 and a mixing-length parameter alpha=1.75 +- 0.40. Moreover, we show that the effects of rotation on the inner structure of the star may be revealed by asteroseismic observations if frequencies can be determined with a high precision. Existing seismological data of Procyon A are unfortunately not accurate enough to really test these differences in the input physics of our models.

  11. A deviational Monte Carlo formulation of ab initio phonon transport and its application to the study of kinetic effects in graphene ribbons

    E-Print Network [OSTI]

    Landon, Colin Donald

    2014-01-01T23:59:59.000Z

    We present a deviational Monte Carlo method for solving the Boltzmann equation for phonon transport subject to the linearized ab initio 3-phonon scattering operator. Phonon dispersion relations and transition rates are ...

  12. Short-Term Energy Outlook - U.S. Energy Information Administration...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    471 million barrels as of March 27. With U.S. refineries beginning to return from maintenance, future inventory builds are likely to slow, and this contributed to a decrease in...

  13. Short-Term Load Forecasting Error Distributions and Implications for Renewable Integration Studies: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Lew, D.; Milligan, M.

    2013-01-01T23:59:59.000Z

    Load forecasting in the day-ahead timescale is a critical aspect of power system operations that is used in the unit commitment process. It is also an important factor in renewable energy integration studies, where the combination of load and wind or solar forecasting techniques create the net load uncertainty that must be managed by the economic dispatch process or with suitable reserves. An understanding of that load forecasting errors that may be expected in this process can lead to better decisions about the amount of reserves necessary to compensate errors. In this work, we performed a statistical analysis of the day-ahead (and two-day-ahead) load forecasting errors observed in two independent system operators for a one-year period. Comparisons were made with the normal distribution commonly assumed in power system operation simulations used for renewable power integration studies. Further analysis identified time periods when the load is more likely to be under- or overforecast.

  14. Short-Term Effects of Air Pollution on Wheeze in Asthmatic Children in Fresno, California

    E-Print Network [OSTI]

    2010-01-01T23:59:59.000Z

    Avol E, et  al. 1999. Air pollution and bronchitic symptomsH, White M. 2001. Air pollution and exacerbation of asthmaGG. 2006. Ambient air pollution and asthma exacerbations in

  15. Guidelines for improvement on the short term of electricity distribution network regulation for

    E-Print Network [OSTI]

    ...............................................................27 2.2.2 Incremental OPEX + CAPEX due to DG

  16. Measuring Short-term Air Conditioner Demand Reductions for Operations and Settlement

    E-Print Network [OSTI]

    Bode, Josh

    2013-01-01T23:59:59.000Z

    measurements using smart meter household data produce theof program households. Smart meters lower the cost of usingsample sizes with smart meter data can be far larger than

  17. Evaluation of short-term climate change prediction in multi-model CMIP5 decadal hindcasts

    E-Print Network [OSTI]

    Webster, Peter J.

    events such as trop- ical cyclone activity. On decadal timescales, some aspects of internal climate skill of individual models have been analyzed separately for multi-year prediction horizons over

  18. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    design and evaluation of renewable energy policies, is anreport,” Na- tional Renewable Energy Laboratory, Golden, CO,applications,” National Renewable Energy Laboratory, Golden,

  19. A Journal of Integrative Biology Short-Term Low-Salinity Tolerance by the Longhorn

    E-Print Network [OSTI]

    Evans, David H.

    ), 20% SW, or 10% SW for 24 or 72 hr. Plasma osmolality, sodium, potassium, and chloride concentrations) are necessary for ion homeostasis. We immunolocalized these proteins to the mitochondrion-rich cell of the gill, these results suggest that down to 20% SW longhorn sculpin are capable of completely regulating ion levels over

  20. Research Reports Humorous Coping and Serious Reappraisal: Short-Term and Longer-Term

    E-Print Network [OSTI]

    Gross, James J.

    with negative experiences (Kuiper, Martin, & Olinger, 1993; Kuiper, McKenzie, & Belanger, 1995). Furthermore

  1. Measuring Short-term Air Conditioner Demand Reductions for Operations and Settlement

    E-Print Network [OSTI]

    Bode, Josh

    2013-01-01T23:59:59.000Z

    regions. In addition, the SCADA was not available for allData Real Time Visibility SCADA 5 minutes or less Limited

  2. The influence of diet on the short-term lipid response to acute exercise

    E-Print Network [OSTI]

    Bounds, Roger Glenn

    1996-01-01T23:59:59.000Z

    (Goodyear 1990, Swank, 1987). The reported triglyceride response to acute exercise has been variable with some claiming no change (Angelopoulos and Robertson 1993). However, in the days (24 to 72 hours) atter an exercise bout, triglyceride has usually... been shown to decrease (Dufaux 1982, Kantor 1984, Cullinane 1982, Thompson 1980). Total cholesterol and LDL-C have been shown to increase (Kantor 1987, Dufaux 1982, Durstine 1983, Cullinane 1982) or decrease (Thompson 1980, Goodyear 1990), leading...

  3. ShortPK: A Short-Term Public Key Scheme for Broadcast Authentication in Sensor Networks

    E-Print Network [OSTI]

    Du, Wenliang "Kevin"

    on energy consumption. Categories and Subject Descriptors: C.2.1 [Computer-Communication Networks]: Network Engineering Building II, North Carolina State University, Raleigh, NC 27695; email: pning Wang, Wenliang Du, Xiaogang Liu Syracuse University and Peng Ning North Carolina State University

  4. Short-term modulation of Indian summer monsoon rainfall by West Asian dust

    SciTech Connect (OSTI)

    Vinoj, V.; Rasch, Philip J.; Wang, Hailong; Yoon, Jin-Ho; Ma, Po-Lun; Landu, Kiranmayi; Singh, Balwinder

    2014-03-16T23:59:59.000Z

    The Indian summer monsoon is the result of a complex interplay between radiative heating, dynamics and cloud and aerosol interactions. Despite increased scientific attention, the effect of aerosols on monsoons still remains uncertain. Here we present both observational evidence and numerical modeling results demonstrating a remote aerosol link to Indian summer monsoon rainfall. Rainfall over central India is positively correlated to natural aerosols over the Arabian Sea and West Asia. Simulations using a state-of-the-art global climate model support this remote aerosol link and indicate that dust aerosols induce additional moisture transport and convergence over Central India, producing increased monsoon rainfall. The convergence is driven through solar heating and latent heating within clouds over West Asia that increases surface winds over the Arabian Sea. On the other hand, sea-salt aerosol tends to counteract the effect of dust and reduces rainfall. Our findings highlight the importance of natural aerosols in modulating the strength of the Indian summer monsoon, and motivate additional research in how changes in background aerosols of natural origin may be influencing long-term trends in monsoon precipitation.

  5. Asymptotically short term behavior of solutions to one dimensional di usion processes

    E-Print Network [OSTI]

    Allen, G. Donald

    . This simple statement, when applied to the migration of a contaminant through and out of a monolithic form de ned solely by di usion. Consider a contaminated monolithic form, in particular a solid cylindrical shape of concrete embedded during mixing with a mobile species such as radioactive cesium, the leachate

  6. Implications of Wide-Area Geographic Diversity for Short- Term Variability of Solar Power

    E-Print Network [OSTI]

    Mills, Andrew

    2010-01-01T23:59:59.000Z

    photovoltaics (PV) in traditional electric power systems.photovoltaic systems. Progress in Photovoltaics: Research

  7. A Dual Algorithm for the Short Term Power Production Planning with Network

    E-Print Network [OSTI]

    is satisfied by means of a system of power generator units and transmission lines. The systematic coordination which can be of different kinds, connected by a power transmission network. These need to be scheduled de Ingenier'ia, Montevideo, Uruguay 1 #12; 1 Introduction The demand of electric power in a country

  8. Experimental short-term climate forecasting procedure for US winter temperatures and its verification

    SciTech Connect (OSTI)

    Navato, A.R.

    1981-01-01T23:59:59.000Z

    A linear multivariate regression model for continental United States Januray surface air temperatures is presented. The predictors enter the regression equation at more than one lag if their effects on the predictand tend to be spread over several months rather than be completed in one month. The monthly mean surface tempertures for 12 cities were taken to be representative of temperatures for the regions around them. The predictand series then consisted of annual January values for each representative city. A separate regression equation was derived for the annual departures from the long term means for January for each city. The procedure therefore predicts the inter-annual variability for January. The regression equations for inter-annual variability were able to explain a much higher percentage of variance compared to the corresponding regression equations for monthly variability. The same procedure can be applied to obtain prediction equations for other months. The higher percentage is to be expected if it is considered that there must be differences in the operation of temperature-controlling physical mechanisms which are dependent on the march of the seasons.

  9. Implications of Wide-Area Geographic Diversity for Short- Term Variability of Solar Power

    E-Print Network [OSTI]

    Mills, Andrew

    2010-01-01T23:59:59.000Z

    and Wind Deltas from Similarly Sited 5.5 Potential Costto estimate the balancing costs for wind. The 4-hour reserve60-min Deltas Total Cost 5 Sites Wind 25 Site Grid Solar

  10. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    than the cost for similarly sited wind. The slightly greaterto the cost of balancing reserves for wind. The decrease infor solar than for wind. The cost of accommodating the

  11. TPWRS-00322-2007.R2 1 Short-Term Resource Adequacy in

    E-Print Network [OSTI]

    Gross, George

    of the system to meet the aggregate customer demand with the appropriate quality [1]. Resource adequacy and the demand bids of price-responsive buyers. The regulatory framework of the vertically integrated utility in terms of a price-sensitive demand curve. The program gives incentives for providing capacity to markets

  12. Measuring Short-term Air Conditioner Demand Reductions for Operations and Settlement

    E-Print Network [OSTI]

    Bode, Josh

    2013-01-01T23:59:59.000Z

    of California Statewide Aggregator Demand Response Programs.Analysis of AMP Aggregator Demand Response Program. Preparedof California Statewide Aggregator Demand Response Programs.

  13. Revised 7/28/10 BRODY SCHOOL OF MEDICINE SHORT TERM VISITOR HEALTH QUESTIONNAIRE

    E-Print Network [OSTI]

    (Mo/Day/Yr) _______________ First M. Last Do you currently have: a cough that produces phlegm? _____ Yes ______ No a cough that produces blood? _____ Yes ______ No a cold or sinus infection? _____ Yea

  14. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    Term variability of solar power,” Lawrence Berkeley Nationaldue to wind and solar power,” Environmental Science &and Predictability of Solar Power Andrew D. Mills and Ryan

  15. Long-term vs. Short-term Contracts; A European perspective on natural gas

    E-Print Network [OSTI]

    Neuhoff, Karsten; von Hirschhausen, Christian

    2006-03-14T23:59:59.000Z

    This paper analyses the economics of long-term gas contracts under changing institutional conditions, mainly gas sector liberalisation. The paper is motivated by the increasingly tense debate in continental Europe, UK and the US on the security...

  16. Studies of asphalt air blowing and development of a new short-term aging technique

    E-Print Network [OSTI]

    Vassiliev, Nicolai

    2001-01-01T23:59:59.000Z

    , Table m-2. Low temperature hardening properi. ies of air blown asphalt fractions and blends. Table III-3. Parent asphalt HS, oxidation rate, and HR . Table IV-1. Estimated time required to achieve same degrcc of aging as RTFOT for Exxon AC-10 films... of varying I. hickness . 70 Table IV-2 Effect of air blowing conditions for Exxon AC- I 0, 325 'F, 70 min. 70 Table IV-3. Condensed volatiles and RTFOT mass change . 80 Table IV-4. Reproducibility analysis. LIST OF FIGURES P ige Figure I-l. Thin film...

  17. Short-Term Test Results: Transitional Housing Energy Efficiency Retrofit in the Hot-Humid Climate

    SciTech Connect (OSTI)

    Sutherland, K.; Martin, E.

    2013-02-01T23:59:59.000Z

    This project evaluates the renovation of a 5,800 ft2, multi-use facility located in St. Petersburg, on the west coast of central Florida, in the hot humid climate. An optimal package of retrofit measures was designed to deliver 30-40% annual energy cost savings for this building with annual utility bills exceeding $16,000 and high base load consumption. Researchers projected energy cost savings for potential retrofit measures based on pre-retrofit findings and disaggregated, weather normalized utility bills as a basis for simulation true-up. A cost-benefit analysis was conducted for the seven retrofit measures implemented; adding attic insulation and sealing soffits, tinting windows, improving whole building air-tightness, upgrading heating and cooling systems and retrofitting the air distribution system, replacing water heating systems, retrofitting lighting, and replacing laundry equipment. The projected energy cost savings for the full retrofit package based on a post-retrofit audit is 35%. The building's architectural characteristics, vintage, and residential and commercial uses presented challenges for both economic projections and retrofit measure construction.

  18. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    solar in the new home construction market; the risk mitigation value of renewable electricity; and customer

  19. Factors That Predict Short-term Complication Rates After Total Hip Arthroplasty

    E-Print Network [OSTI]

    SooHoo, Nelson F.; Farng, Eugene; Lieberman, Jay R.; Chambers, Lauchlan; Zingmond, David S.

    2010-01-01T23:59:59.000Z

    device implanted device for removal of prosthesis forremoval of prosthesis forremoval of prosthesis JRA, and RA with systemic JRA, and RA

  20. Long-and Short-Term Climate Influences on Southwestern Shrublands

    E-Print Network [OSTI]

    to predict the ecological outcomes of climate change and direct human impacts. Interestin global change has body size to global warming during deglaciation (Smith and others 1995), and carbon isotopes from soil

  1. Next Generation Short-Term Forecasting of Wind Power Overview of the ANEMOS Project.

    E-Print Network [OSTI]

    Boyer, Edmond

    of difficulties to the power system operation. This is due to the fluctuating nature of wind generation to the management of wind generation. Accurate and reliable forecasting systems of the wind production are widely

  2. Intercomparison study of atmospheric mercury models: 1. Comparison of models with short-term measurements

    E-Print Network [OSTI]

    on the Irish west coast. The modelled concentrations of total particulate mercury (TPM) were generally 358, Roskilde, Denmark d NOAA Air Resources Laboratory, 1315 East West Highway, Silver Spring MD 20910 Institute of Meteorology and Hydrology, Tzarigradsko chaussee 66, 1785 Sofia, Bulgaria h Swedish

  3. Short-Term Monitoring to Diagnose Comfort Problems in a Residence in Central Texas

    E-Print Network [OSTI]

    Kootin-Sanwu, V.; Sresthaputra, A.; Haberl, J. S.

    2000-01-01T23:59:59.000Z

    use of a bathroom fan may be drawing in more humid air through infiltration. Third, part of the homeowner's discomfort may be due to uneven heat gain on the first floor. Based on these observations we recommended that the return air duct be re-sealed... contractor who was given a copy of the report and asked to perform their own analysis on the house. The contractor performed his own tests and then decided to clean the evaporator coils, reseal the return chase and further increase the size of the air...

  4. A Calibration Methodology for Retrofit Projects Using Short-Term Monitoring and Disaggregated Energy Use Data

    E-Print Network [OSTI]

    Soebarto, V. I.; Degelman, L. O.

    1996-01-01T23:59:59.000Z

    show that the differences between the disaggregated energy use based the monthly utility records and measured data are only 0.3% for the fan energy and 0.08% for lights and receptacles. SD. Wim DM So. Coolim Fm Liphtitq .Meawed Daa ODiszggrag...

  5. alleviates short-term cyclosporin: Topics by E-print Network

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

    response programs in wholesale power markets with congestion managed by locational marginal prices are derived from DC optimal power flow solutions for day-ahead energy markets....

  6. Global Sensitivity Analysis for the Short-term Prediction of System Variables

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    and demand response programs in wholesale power markets with congestion managed by locational marginal prices the accuracy of the proposed prediction method. Index Terms--Wholesale power market, locational marginal price Marginal Prices (LMPs), the pricing of power in accordance with the loca- tion and timing of its injection

  7. allergen-dose short-term experimental: Topics by E-print Network

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

    response programs in wholesale power markets with congestion managed by locational marginal prices are derived from DC optimal power flow solutions for day-ahead energy markets....

  8. affects short-term recovery: Topics by E-print Network

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

    response programs in wholesale power markets with congestion managed by locational marginal prices are derived from DC optimal power flow solutions for day-ahead energy markets....

  9. Laboratory Studies of the Short-term Responses of Freshwater Fish to Electromagnetic Fields

    SciTech Connect (OSTI)

    Bevelhimer, Mark S [ORNL; Cada, Glenn F [ORNL; Fortner, Allison M [ORNL; Schweizer, Peter E [ORNL; Riemer, Kristina P [ORNL

    2013-01-01T23:59:59.000Z

    Hydrokinetic energy technologies are being proposed as an environmentally preferred means of generating electricity from river and tidal currents. Among the potential issues that must be investigated in order to resolve environmental concerns are the effects on aquatic organisms of electromagnetic fields created by underwater generators and transmission cables. The behavioral responses of common freshwater fishes to static and variable electromagnetic fields (EMF) that may be emitted by hydrokinetic projects were evaluated in laboratory experiments. Various fish species were exposed to either static (DC) EMF fields created by a permanent bar magnet or variable (AC) EMF fields created by a switched electromagnet for 48 h, fish locations were recorded with a digital imaging system, and changes in activity level and distribution relative to the magnet position were quantified at 5-min intervals. Experiments with fathead minnows, redear sunfish, striped bass, lake sturgeon, and channel catfish produced mixed results. Except for fathead minnows there was no effect on activity level. Only redear sunfish and channel catfish exhibited a change in distribution relative to the position of the magnet with an apparent attraction to the EMF source. In separate experiments, rapid behavioral responses of paddlefish and lake sturgeon to onset of the AC field were recorded with high-speed video. Paddlefish did not react to a variable, 60-Hz magnetic field like that which would be emitted by an AC generator or cable, but lake sturgeon consistently responded to the variable, AC-generated magnetic field with a variety of altered swimming behaviors. These results will be useful for determining under what circumstances cables or generators need to be positioned to minimize interactions with sensitive species.

  10. Short-term Effects of a Partial Drawdown on Fish Condition in a Eutrophic Reservoir

    E-Print Network [OSTI]

    García-Berthou, Emili

    than roach (Rutilus rutilus) to poor water quality and a potential good indicator of water pollution. The weight­length relationship (i.e. condition) of roach and bleak also varied significantly during the draw- down following the same tendency in both species, losing and recovering their weight (4.99% in roach

  11. Short-term variability of overcast brightness Raymond L. Lee, Jr. and Javier Hernndez-Andrs

    E-Print Network [OSTI]

    Lee Jr., Raymond L.

    overcast skies measured at 30-s intervals reveal unexpected temporal variability in horizontal illumi- nance E and zenith luminance L . Fourier analysis of these time series shows peak fluctuations overcast twilight E exceeds clear-sky E at the same Sun elevation. © 2005 Optical Society of America OCIS

  12. Implications of Wide-Area Geographic Diversity for Short- Term Variability of Solar Power

    E-Print Network [OSTI]

    Mills, Andrew

    2010-01-01T23:59:59.000Z

    more dense spacing of solar plants. In this section we usedeviation of the Assuming a solar plant density of 20 W/msummer midday hours when solar plants are near capacity.

  13. Implications of Wide-Area Geographic Diversity for Short- Term Variability of Solar Power

    E-Print Network [OSTI]

    Mills, Andrew

    2010-01-01T23:59:59.000Z

    Cost 5 Sites Wind 25 Site Grid Solar Conclusions Our analysisanalysis of the potential cost implications of the vari- ability of PV compared to wind. •analysis is to estimate the cost of providing additional balancing reserves to manage the variability of wind

  14. 1 Short-Term Advance Prediction of the San Simeon Earthquake ...

    E-Print Network [OSTI]

    Ilya Zaliapin

    2004-02-14T23:59:59.000Z

    1International Institute of Earthquake Prediction Theory and Mathematical Geophysics, Russian Ac. Sci.,. Moscow; 2Institute of Geophysics and Planetary ...

  15. Development of Short-term Demand Forecasting Model Application in Analysis of Resource Adequacy

    E-Print Network [OSTI]

    calculated. Peak load and energy load for all months were ranked and top 5th percentile load were used

  16. THERMAL DEGRADATION OF A BLACK CHROME SOLAR SELECTIVE ABSORBER COATING: SHORT TERM

    E-Print Network [OSTI]

    Lampert, Carl M.

    2011-01-01T23:59:59.000Z

    black show appreciable degradation ically or mechanically upGA, May ety THERMAL DEGRADATION A BLACK CHROME SOLARis ion, Ext. 781 THERMAL DEGRADATION OF A BLACK CHROME SOLAR

  17. International LNG trade : the emergence of a short-term market

    E-Print Network [OSTI]

    Athanasopoulos, Panagiotis G

    2006-01-01T23:59:59.000Z

    Natural gas is estimated to be the fastest growing component of world primary energy consumption. Liquefied natural gas (LNG) supply chain is a way of transporting natural gas over seas, by following a procedure of gas ...

  18. Short-term Wind Power Forecasting Using Advanced Statistical T.S. Nielsen1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , in order to be able to absorb a large fraction of wind power in the electrical systems reliable short from refer- ence MET forecasts to the actual wind farm, wind farm power curve models, dynamical models of art wind power prediction system is outlined in Section 2. Numerical Weather Prediction (NWP

  19. An Investigation of word encoding strategy and verbal short term memory in developmental dyslexia 

    E-Print Network [OSTI]

    Kennedy, Hazel

    2006-01-01T23:59:59.000Z

    Dyslexic children have been shown to have poorer phonological awareness and phonological memory skills than normal readers. Evidence from a number of studies shows that normal readers show impaired recall for phonologically ...

  20. American Solar Energy Society Proc. ASES Annual Conference, Raleigh, NC, 2011 SHORT-TERM IRRADIANCE VARIABILITY

    E-Print Network [OSTI]

    Perez, Richard R.

    © American Solar Energy Society ­ Proc. ASES Annual Conference, Raleigh, NC, 2011 SHORT, as hypothesized in Hoff and Perez's optimum point. #12;© American Solar Energy Society ­ Proc. ASES Annual is the factor that determines whether the combined relative fluctuations of two solar systems add up when

  1. Implications of Wide-Area Geographic Diversity for Short- Term Variability of Solar Power

    E-Print Network [OSTI]

    Mills, Andrew

    2010-01-01T23:59:59.000Z

    Even di?erent inverters within a single 13.2 MW PV plant infor di?erent inverters within a single 13.2 MW PV plant in

  2. Short-Term Oxidation Studies on Nicrofer- 6025HT in Air at Elevated...

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

    on the use of solid state mixed ionic and electronic conductors. Nicrofer-6025HT, a nickel-based alloy, has been identified as a potential manifold material to transport the hot...

  3. Potential Effects of Short-Term Prey Changes on Sea Lion

    E-Print Network [OSTI]

    appeared to prioritize maintaining core growth rates even when energy was limited, electing to deplete animals, regardless of total energy intake. This mechanism has been hypothesized to have contributed lipid reserves to fulfill energy deficits, resulting in changes in relative body condition. In contrast

  4. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    wind energy in studies that were often based on scaling the output of single wind turbinesturbine [3]–[10]. A large body of experience with and analysis of wind energy

  5. Freeway Short-Term Traffic Flow Forecasting by Considering Traffic Volatility Dynamics and Missing Data Situations

    E-Print Network [OSTI]

    Zhang, Yanru

    2012-10-19T23:59:59.000Z

    , assuming constant variance when perform forecasting. This method does not consider the volatility nature of traffic flow data. This paper demonstrated that the variance part of traffic flow data is not constant, and dependency exists. A volatility model...

  6. The influence of diet on the short-term lipid response to acute exercise 

    E-Print Network [OSTI]

    Bounds, Roger Glenn

    1996-01-01T23:59:59.000Z

    []4.4 % carbohydrate, 17 []2.4 % protein) and a high carbohydrate (CHO) (I 7 ?1.9 % fat, 63 ?3.2 % carbohydrate, 19 []1.0 % protein ) diet for two weeks in a randomized crossover design. On the seventh day of each dietary period, V02max was measured...

  7. Measuring Short-term Air Conditioner Demand Reductions for Operations and Settlement

    E-Print Network [OSTI]

    Bode, Josh

    2013-01-01T23:59:59.000Z

    93 Figure I-1: Electricty Use for a Specific Feeder in Santerritory. Figure I-1: Electricty Use for a Specific Feeder

  8. Studies of asphalt air blowing and development of a new short-term aging technique 

    E-Print Network [OSTI]

    Vassiliev, Nicolai

    2001-01-01T23:59:59.000Z

    lower temperature variation in the oil bath and better film agitation in the flask. At 163 'C (325 'F) for a sample weight of 200 g it takes 160 minutes to achieve the aging effect closest to that of the TFOT and 210 minutes to compare... on the operating temperature and was less at higher temperatures. A total of 300 g of heated material was placed in a 1 qt (07946 Ll can and air-blown with constant agitation by a mixer attached to a motor at 1550 RPM. An insulated heating tape was used to heat...

  9. Measuring Short-term Air Conditioner Demand Reductions for Operations and Settlement

    E-Print Network [OSTI]

    Bode, Josh

    2013-01-01T23:59:59.000Z

    017F.PDF KEMA, Inc. 2011. PJM Empirical Analysis of DemandMethods. Prepared for the PJM Markets Implementation~/media/markets-ops/dsr/pjm-analysis-of-dr-baseline-methods-

  10. Short Term Hourly Load Forecasting Using Abductive Networks R. E. Abdel-Aal

    E-Print Network [OSTI]

    Abdel-Aal, Radwan E.

    Physical Sciences, Research Institute, King Fahd University of Petroleum and Minerals, Dhahran, Saudi for forecasting next-day hourly loads have been developed. Evaluated on data for the 6th year, the models give. INTRODUCTION Accurate load forecasting is a key requirement for the planning and economic and secure operation

  11. Short-term forecasting through intermittent assimilation of data from Taiwan and mainland China coastal radars

    E-Print Network [OSTI]

    Xue, Ming

    ; published 29 March 2012. [1] Radial velocity (Vr) and reflectivity (Z) data from eight coastal operational, but the benefit is mostly lost within the first hour of forecast. Assimilating data from a single Doppler radar with a good coverage of the typhoon inner core region is also quite effective, but it takes one more cycle

  12. Integrating short-term demand response into long-term investment planning

    E-Print Network [OSTI]

    De Jonghe, Cedric; Hobbs, Benjamin F.; Belmans, Ronnie

    2011-03-20T23:59:59.000Z

    . In case of insufficient flexibility, wind power curtailment, also referred to as wasted wind [2], can help to instantaneously balance generation and demand when over- generation is a problem. As flexibility of conventional generation technologies... of load management is often facilitated by thermal storage applications for space cooling and heating applications. The final type of DSM program, flexible load shaping focuses on reliability. Programs allowing interruptible or curtailable load...

  13. Short-term supply chain management in upstream natural gas systems

    E-Print Network [OSTI]

    Selot, Ajay

    2009-01-01T23:59:59.000Z

    Natural gas supply chain planning and optimization is important to ensure security and reliability of natural gas supply. However, it is challenging due to the distinctive features of natural gas supply chains. These ...

  14. system' --necessary for P. aeruginosa to cause a short-term infection --was reduced

    E-Print Network [OSTI]

    Jewitt, David C.

    . Individual cells can be seen, surrounded by a sugar-rich matrix. (Courtesy Jon Budzik and the Ripple EM

  15. Short-term effects of gaseous pollutants on cause-specific mortality in Wuhan, China

    SciTech Connect (OSTI)

    Zhengmin Qian; Qingci He; Hung-Mo Lin (and others) [Pennsylvania State College of Medicine, Hershey, PA (United States)

    2007-07-15T23:59:59.000Z

    This study was to determine the acute mortality effects of the gaseous pollutants in Wuhan, China a city with 7.5 million permanent residents during the period from 2000 to 2004. The major sources of air pollution in the city are motor vehicles and the use of coal for domestic cooking, heating, and industrial processes. In recent years, combustion of gas has been the most common method for domestic cooking. There is a large coal-combustion smelter in the district. There are approximately 4.5 million residents in Wuhan who live in the city's core area of 201 km{sup 2}, where air pollution levels are highest, and pollution ranges are wider than the majority of the cities in the published literature. We used the generalized additive model to analyze pollution, mortality, and covariate data. We found consistent NO{sub 2} effects on mortality with the strongest effects on the same day. Every 10-{mu}g/m{sup 3} increase in NO{sub 2} daily concentration on the same day was associated with an increase in nonaccidental cardiovascular, stroke, cardiac, respiratory, and cardiopulmonary mortality. These effects were stronger among the elderly than among the young. Formal examination of exposure-response curves suggests no-threshold linear relationships between daily mortality and NO{sub 2}, where the NO{sub 2} concentrations ranged from 19.2 to 127.4 {mu}g/m{sup 3}. SO{sub 2} and O{sub 3} were not associated with daily mortality. The exposure response relationships demonstrated heterogeneity, with some curves showing nonlinear relationships for SO{sub 2} and O{sub 3}. We conclude that there is consistent evidence of acute effects of NO{sub 2} on mortality and suggest that a no-threshold linear relationship exists between NO{sub 2} and mortality. 36 refs., 7 tabs.

  16. Microsoft Word - Alcoa_short-term_amendments2_CX.docx

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

    the same level of service under an existing power sales contract to the Intalco smelter in Ferndale, WA. These amendments would further extend this service for up to an...

  17. LONG-AND SHORT-TERM PRODUCTION SCHEDULING AT LKAB'S KIRUNA MINE

    E-Print Network [OSTI]

    Sweden. The iron ore mine currently uses a long-term production scheduling model to strategically plan the Arctic circle in northern Sweden, has been operational for more than a century. The mine currently

  18. Short-term and long-term reliability studies in the deregulated power systems 

    E-Print Network [OSTI]

    Li, Yishan

    2006-04-12T23:59:59.000Z

    The electric power industry is undergoing a restructuring process. The major goals of the change of the industry structure are to motivate competition, reduce costs and improve the service quality for consumers. In the ...

  19. Assessment and Recommendations Overcoming in Short-Term Grid System Regulatory

    E-Print Network [OSTI]

    Intelligent Europe (EIE) DG-Grid Report D2 October 2005 #12;Acknowledgement This document is a result.dg-grid.org 2 #12;3 #12;4 #12;Contents Acknowledgement

  20. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    effects of distributed wind turbines. part 1. coherence andutilities by multiple wind turbines,” IEEE Transactions onpower fluctuation of wind turbines: Analyzing data from the

  1. Implications of Wide-Area Geographic Diversity for Short- Term Variability of Solar Power

    E-Print Network [OSTI]

    Mills, Andrew

    2010-01-01T23:59:59.000Z

    Term power ?uctuation of wind turbines: Analyzing data frome?ects of distributed wind turbines. part 1. coherence andto utilities by multiple wind turbines. IEEE Transactions on

  2. Original Contribution Effect Modification by Community Characteristics on the Short-term Effects of

    E-Print Network [OSTI]

    Dominici, Francesca

    communities for 1987 to 2000 from the National Morbidity, Mortality, and Air Pollution Study; US Census pollution. air conditioning; air pollution; continental population groups; income; mortality; ozone that the National Morbidity, Mortality, and Air Pollution Study and other large multicity studies examine

  3. Implications of Wide-Area Geographic Diversity for Short- Term Variability of Solar Power

    E-Print Network [OSTI]

    Mills, Andrew

    2010-01-01T23:59:59.000Z

    2010. Quantifying PV power output variability. Solar EnergyOutput power correlation between adjacent wind power plants. Journal of Solarpower system demonstrate that scaling the output from an individual solar

  4. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    Output power correlation between adjacent wind power plants,” Journal of Solarpower system demonstrate that scaling the output from an individual solar

  5. Enhanced Short-Term Wind Power Forecasting and Value to Grid Operations: Preprint

    SciTech Connect (OSTI)

    Orwig, K.; Clark, C.; Cline, J.; Benjamin, S.; Wilczak, J.; Marquis, M.; Finley, C.; Stern, A.; Freedman, J.

    2012-09-01T23:59:59.000Z

    The current state of the art of wind power forecasting in the 0- to 6-hour time frame has levels of uncertainty that are adding increased costs and risk on the U.S. electrical grid. It is widely recognized within the electrical grid community that improvements to these forecasts could greatly reduce the costs and risks associated with integrating higher penetrations of wind energy. The U.S. Department of Energy has sponsored a research campaign in partnership with the National Oceanic and Atmospheric Administration (NOAA) and private industry to foster improvements in wind power forecasting. The research campaign involves a three-pronged approach: 1) a 1-year field measurement campaign within two regions; 2) enhancement of NOAA's experimental 3-km High-Resolution Rapid Refresh (HRRR) model by assimilating the data from the field campaign; and 3) evaluation of the economic and reliability benefits of improved forecasts to grid operators. This paper and presentation provides an overview of the regions selected, instrumentation deployed, data quality and control, assimilation of data into HRRR, and preliminary results of HRRR performance analysis.

  6. Short-Term Energy Outlook Supplement: Energy Price Volatility and Forecast Uncertainty

    Reports and Publications (EIA)

    2009-01-01T23:59:59.000Z

    It is often noted that energy prices are quite volatile, reflecting market participants' adjustments to new information from physical energy markets and/or markets in energy-related financial derivatives. Price volatility is an indication of the level of uncertainty, or risk, in the market. This paper describes how markets price risk and how the marketclearing process for risk transfer can be used to generate "price bands" around observed futures prices for crude oil, natural gas, and other commodities.

  7. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    smoothing effects at a wind farm,” Wind Energy, vol. 7, no.fluctuations from large wind farms,” IEEE Transactions on

  8. Implications of Wide-Area Geographic Diversity for Short- Term Variability of Solar Power

    E-Print Network [OSTI]

    Mills, Andrew

    2010-01-01T23:59:59.000Z

    and smoothing e?ects at a wind farm. Wind Energy 7 (2), 61–uctuations from large wind farms. IEEE Transactions on Power

  9. Are men really more `oriented' toward short-term mating than

    E-Print Network [OSTI]

    Pillow, Jonathan

    and research David P. Schmitt Bradley University Todd K. Shackelford Florida Atlantic University David M. Buss University of Texas at Austin Abstract According to Sexual Strategies Theory (D.M. Buss and D.P. Schmitt 1993 and temporal commitment associated with long-term, marital relationships (Buss and Schmitt 1993). In a meta

  10. Author's personal copy Short-term vegetation response to wildfire in the eastern Sierra Nevada

    E-Print Network [OSTI]

    Hebblewhite, Mark

    in unburned areas (Cook et al., 1994; Sachro et al., 2005), but the timeframe of this transi- tion varies (Cook et al., 1994; Merrill et al.,1980) and forbs (Merrill et al.,1980). Burned areas may also greenup earlier than unburned areas due to increased solar radiation and provide high quality forage early

  11. Short Term Energy Monitoring: What Does This Information Mean to the Facility Energy Manager?

    E-Print Network [OSTI]

    Bryant, J. A.; Carlson, K. A.

    2000-01-01T23:59:59.000Z

    off. Major results for this test were: Lighting: The total demand level of all lighting was found to be about 277 kW. The lighting energy used during a typical academic workweek in the Engineering Physics Building-Office side was determined... 3). EPB teaching side has a higher demand, 2 10 kW than the EPB office side at 67 kW. After the lights, AHUs and pumps were shut off in the building, a baseload of 100 kW and 25 kW were found for the teaching and office sides respectively...

  12. Buildings in a Test Tube: Validation of the Short-Term Energy Monitoring (STEM) Method (Preprint)

    SciTech Connect (OSTI)

    Judkoff, R.; Balcomb, J.D. (National Renewable Energy Laboratory); Barker, G.; Hancock, E. (Mountain Energy Partnership); Subbarao, K.

    2001-02-26T23:59:59.000Z

    This paper is extracted from a full-length technical report that presents a detailed analysis of the differences in thermal performance between the SIP and frame units and describes the validation of the STEM method.

  13. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source:Additions to Capacity ForYear Jan7.5, 20135:Decade Year-0‹

  14. DOE/EIA-0202(84/1Q) Short-Term Energy Outlook Quarterly Projections

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 4 aI la iliiiii3/P1Q)

  15. DOE/EIA-0202(84/2QH Short-Term Energy Outlook Quarterly Projections

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 4 aI la

  16. DOE/EIA-0202(84/4Q) Short-Term Energy Outlook Quarterly Projections

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 4 aI la3Q)

  17. DOE/EIA-0202(85/1Q) Short-Term Energy Outlook Quarterly Projections

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 4 aI la3Q)1Q)

  18. DOE/EIA-0202(85/2Q) Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 4 aI la3Q)1Q)2Q)

  19. DOE/EIA-0202(85/3Q) Short-Term Energy Outlook Quarterly Projections

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 4 aI la3Q)1Q)2Q)3Q)

  20. DOE/EIA-0202(85/4Q) Short-Term Energy Outlook OBIS Quarterly

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 4 aI

  1. DOE/EIA-0202(87/1Q) Energy Information Administration Short-Term

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 4 aI6/1Q)7/1Q) Energy

  2. DOE/EIA-0202(87/2Q) Energy Information Administration Short-Term

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 4 aI6/1Q)7/1Q)

  3. DOE/EIA-0202(87/3Q) Energy Information Administration Short-Term

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 4 aI6/1Q)7/1Q)3Q)

  4. DOE/EIA-0202(87/4Q) Energy Information Administration Short-Term

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 4 aI6/1Q)7/1Q)3Q)4Q)

  5. DOE/EIA-0202(88/1Q) Energy Information Administration Short-Term

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 4

  6. DOE/EIA-0202(88/2Q) Energy Information Administration Short-Term

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 42Q) Energy

  7. DOE/EIA-0202(88/3Q) Energy Information Administration Short-Term

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 42Q) Energy3Q) Energy

  8. DOE/EIA-0202|83/2Q)-1 Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline353/06) 2Yonthly Energy : 42Q)2Q) 1992 2

  9. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund scholarshipsShedding LightShinyShoreiSpecial

  10. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund scholarshipsShedding

  11. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund scholarshipsSheddingAll Tables Tables Table

  12. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund scholarshipsSheddingAll Tables Tables

  13. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund scholarshipsSheddingAll Tables

  14. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund scholarshipsSheddingAll TablesHighlights North

  15. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund scholarshipsSheddingAll TablesHighlights

  16. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund scholarshipsSheddingAll

  17. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund scholarshipsSheddingAllGlobal Petroleum and

  18. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund scholarshipsSheddingAllGlobal Petroleum

  19. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund scholarshipsSheddingAllGlobal PetroleumPrices

  20. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund scholarshipsSheddingAllGlobal

  1. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund scholarshipsSheddingAllGlobalEconomic

  2. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund scholarshipsSheddingAllGlobalEconomicPetroleum

  3. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del Sol HomeFacebookScholarship Fund

  4. Microsoft PowerPoint - Arseneau_EIA_ShortTermDriversofEnergyPrices.ppt [Compatibility Mode]

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15LiquidBG North AmericaMarkets: The

  5. Session 4: "Short-Term Energy Prices - What Drivers Matter Most?"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April19. AverageForecastEnergyEnwgy1:4:

  6. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April19.Data Series: Proved Reserves9c :

  7. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April19.Data Series: Proved Reserves9c :1

  8. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April19.Data Series: Proved Reserves9c

  9. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April19.Data Series: Proved Reserves9c2 :

  10. Short-Term Energy Outlook Supplement: Summer 2013 Outlook for Residential Electric Bills

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April19.Data Series: Proved

  11. OFermilab OFF-SITE SHORT-TERM HOUSING-2013--2014 Housing Office/Aspen East

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparencyDOE Project TapsDOERecoveryNuclearLifeMealsOFermilab

  12. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80 mPilotDataGlossaryRSS‹

  13. Short-Term Arctic Cloud Statistics at NSA from the Infrared Cloud Imager

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002 13 13 13

  14. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002

  15. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctober 2002‹ Analysis

  16. Short-Term Energy Outlook Supplement: Energy-weighted industrial production indices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSetting theSheldonOctoberOutlook

  17. Short-term Human Vision Protection from Intense Light Sources | Princeton

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over Our Instagram Secretary Moniz9 SeptemberSettingUncertainties in the3 1

  18. QUARTER SHORT-TERM ENERGY OUTLOOK QUARTERLY PROJECTIONS ENERGY INFORMATION ADMINISTRATION

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Energy I I' a evie _ =_ In7, 20116,650.0 Weekly DownloadData71 23Q)1Q)

  19. QUARTER SHORT-TERM ENERGY OUTLOOK QUARTERLY PROJECTIONS ENERGY INFORMATION ADMINISTRATION

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Energy I I' a evie _ =_ In7, 20116,650.0 Weekly DownloadData71

  20. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables Tables Table SF01. U.S.

  1. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables Tables Table

  2. Effects of Biomass Fuels on Engine & System Out Emissions for Short Term

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:RevisedAdvisory Board ContributionsreductionRefineries |Endurance | Department of

  3. High Statistics Study of Nearby Type 1a Supernovae. QUEST Camera Short Term

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh School football High School football Fancy footwork at

  4. Large deviations in stochastic heat-conduction processes provide a gradient-flow structure for heat conduction

    SciTech Connect (OSTI)

    Peletier, Mark A., E-mail: m.a.peletier@tue.nl [Department of Mathematics and Computer Science and Institute for Complex Molecular Systems, Technische Universiteit Eindhoven, Postbus 513, 5600 MB Eindhoven (Netherlands); Redig, Frank, E-mail: f.h.j.redig@tudelft.nl [Delft Institute of Applied Mathematics, Technische Universiteit Delft, Mekelweg 4, 2628 CD Delft (Netherlands); Vafayi, Kiamars, E-mail: k.vafayi@tue.nl [Department of Mathematics and Computer Science, Technische Universiteit Eindhoven, Postbus 513, 5600 MB Eindhoven (Netherlands)

    2014-09-01T23:59:59.000Z

    We consider three one-dimensional continuous-time Markov processes on a lattice, each of which models the conduction of heat: the family of Brownian Energy Processes with parameter m (BEP(m)), a Generalized Brownian Energy Process, and the Kipnis-Marchioro-Presutti (KMP) process. The hydrodynamic limit of each of these three processes is a parabolic equation, the linear heat equation in the case of the BEP(m) and the KMP, and a nonlinear heat equation for the Generalized Brownian Energy Process with parameter a (GBEP(a)). We prove the hydrodynamic limit rigorously for the BEP(m), and give a formal derivation for the GBEP(a). We then formally derive the pathwise large-deviation rate functional for the empirical measure of the three processes. These rate functionals imply gradient-flow structures for the limiting linear and nonlinear heat equations. We contrast these gradient-flow structures with those for processes describing the diffusion of mass, most importantly the class of Wasserstein gradient-flow systems. The linear and nonlinear heat-equation gradient-flow structures are each driven by entropy terms of the form -log ?; they involve dissipation or mobility terms of order ?² for the linear heat equation, and a nonlinear function of ? for the nonlinear heat equation.

  5. Planning and drilling geothermal energy extraction hole EE-2: a precisely oriented and deviated hole in hot granitic rock

    SciTech Connect (OSTI)

    Helmick, C.; Koczan, S.; Pettitt, R.

    1982-04-01T23:59:59.000Z

    During the preceding work (Phase I) of the Hot Dry Rock (HDR) Geothermal Energy Project at Fenton Hill, two holes were drilled to a depth of nearly 3048 m (10,000 ft) and connected by a vertical hydraulic fracture. In this phase, water was pumped through the underground reservoir for approximately 417 days, producing an energy equivalent of 3 to 5 MW(t). Energy Extraction Hole No. 2 (EE-2) is the first of two deep holes that will be used in the Engineering-Resource Development System (Phase II) of the ongoing HDR Project of the Los Alamos National Laboratory. This phase of the work consists of drilling two parallel boreholes, inclined in their lower, open-hole sections at 35/sup 0/ to the vertical and separated by a vertical distance of 366 m (1200 ft) between the inclined parts of the drill holes. The holes will be connected by a series of vertical, hydraulically produced fractures in the Precambrian granitic rock complex. EE-2 was drilled to a depth of 4660 m (15,289 ft), where the bottom-hole temperature is approximately 320/sup 0/C (608/sup 0/F). Directional drilling techniques were used to control the azimuth and deviation of the hole. Upgrading of the temperature capability of existing hardware, and development of new equipment was necessary to complete the drilling of the hole in the extremely hot, hard, and abrasive granitic formation. The drilling history and the problems with bits, directional tools, tubular goods, cementing, and logging are described. A discussion of the problems and recommendations for overcoming them are also presented.

  6. Tail-constraining stochastic linearquadratic control: a large deviation and statistical physics This article has been downloaded from IOPscience. Please scroll down to see the full text article.

    E-Print Network [OSTI]

    Lebedev, Vladimir

    deviation and statistical physics approach Michael Chertkov1 , Igor Kolokolov1,2 and Vladimir Lebedev1,2 1 to be set exogenously. We reconsider the classical approach and suggest two alternatives, resolving and statistical physics approach Contents 1. Introduction 2 2. The deterministic case and LQ optimal control 6 3

  7. Geophysical Prospecting, 2007, 55, 891899 doi:10.1111/j.1365-2478.2007.00654.x Importance of borehole deviation surveys for monitoring of hydraulic

    E-Print Network [OSTI]

    Cerveny, Vlastislav

    of borehole deviation surveys for monitoring of hydraulic fracturing treatments Petr Bulant1 , Leo Eisner2 accepted April 2007 ABSTRACT During seismic monitoring of hydraulic fracturing treatment, it is very common-system geometry derived from microseismic event locations. For common hydraulic fracturing geometries, a 2

  8. Nuclear Arms Control R&D Consortium includes Los Alamos

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

    Nuclear Arms Control R&D Consortium includes Los Alamos Nuclear Arms Control R&D Consortium includes Los Alamos A consortium led by the University of Michigan that includes LANL as...

  9. A Roadmap to Success: Hiring, Retaining, and Including People...

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

    A Roadmap to Success: Hiring, Retaining, and Including People with Disabilities A Roadmap to Success: Hiring, Retaining, and Including People with Disabilities December 5, 2014...

  10. [Article 1 of 7: Motivates and Includes the Consumer

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

    and include the consumer exist. Some examples include advanced two-way metering (AMI), demand response (DR), and distributed energy resources (DER). A common misconception is...

  11. Including Retro-Commissioning in Federal Energy Savings Performance...

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

    Including Retro-Commissioning in Federal Energy Savings Performance Contracts Including Retro-Commissioning in Federal Energy Savings Performance Contracts Document describes...

  12. Investigations into the Nature of Halogen Bonding Including Symmetry...

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

    into the Nature of Halogen Bonding Including Symmetry Adapted Perturbation Theory Analyses. Investigations into the Nature of Halogen Bonding Including Symmetry Adapted...

  13. acid analysis including: Topics by E-print Network

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

    Nairn, John A. 12 A bottom-up analysis of including aviation within theEU's Emissions Trading Scheme Geosciences Websites Summary: A bottom-up analysis of including aviation...

  14. analysis including quantification: Topics by E-print Network

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

    Ausloos 2004-12-31 29 A bottom-up analysis of including aviation within theEU's Emissions Trading Scheme Geosciences Websites Summary: A bottom-up analysis of including aviation...

  15. Biomarkers Core Lab Price List Does NOT Include

    E-Print Network [OSTI]

    Grishok, Alla

    v3102014 Biomarkers Core Lab Price List Does NOT Include Kit Cost PURCHASED by INVESTIGATOR/1/2013 Page 1 of 5 #12;Biomarkers Core Lab Price List Does NOT Include Kit Cost PURCHASED by INVESTIGATOR

  16. Example Retro-Commissioning Scope of Work to Include Services...

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

    Retro-Commissioning Scope of Work to Include Services as Part of an ESPC Investment-Grade Audit Example Retro-Commissioning Scope of Work to Include Services as Part of an ESPC...

  17. Multi-reference approach to the calculation of photoelectron spectra including spin-orbit coupling

    E-Print Network [OSTI]

    Gilbert Grell; Sergey I. Bokarev; Bernd Winter; Robert Seidel; Emad F. Aziz; Saadullah G. Aziz; Oliver Kühn

    2015-06-05T23:59:59.000Z

    X-ray photoelectron spectra provide a wealth of information on the electronic structure. The extraction of molecular details requires adequate theoretical methods, which in case of transition metal complexes has to account for effects due to the multi-configurational and spin-mixed nature of the many-electron wave function. Here, the Restricted Active Space Self-Consistent Field method including spin-orbit coupling is used to cope with this challenge and to calculate valence and core photoelectron spectra. The intensities are estimated within the frameworks of the Dyson orbital formalism and the sudden approximation. Thereby, we utilize an efficient computational algorithm that is based on a biorthonormal basis transformation. The approach is applied to the valence photoionization of the gas phase water molecule and to the core ionization spectrum of the $\\text{[Fe(H}_2\\text{O)}_6\\text{]}^{2+}$ complex. The results show good agreement with the experimental data obtained in this work, whereas the sudden approximation demonstrates distinct deviations from experiments.

  18. Introduction to Small-Scale Wind Energy Systems (Including RETScreen...

    Open Energy Info (EERE)

    Introduction to Small-Scale Wind Energy Systems (Including RETScreen Case Study) (Webinar) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Introduction to Small-Scale...

  19. Laboratory Curiosity rover ChemCam team, including Los Alamos...

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

    MEXICO, August 23, 2012-Members of the Mars Science Laboratory Curiosity rover ChemCam team, including Los Alamos National Laboratory scientists, squeezed in a little extra target...

  20. PLOT: A UNIX PROGRAM FOR INCLUDING GRAPHICS IN DOCUMENTS

    E-Print Network [OSTI]

    Curtis, Pavel

    2013-01-01T23:59:59.000Z

    simple, easy-to-read graphics language designed specificallyPROGRAM FOR INCLUDING GRAPHICS IN DOCUMENTS Pavel Curtismeanings as in the GRAFPAC graphics system. Definl. ~ tions