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Sample records for forecasts million short

  1. Energy Department Announces $2.5 Million to Improve Wind Forecasting |

    Office of Environmental Management (EM)

    Department of Energy .5 Million to Improve Wind Forecasting Energy Department Announces $2.5 Million to Improve Wind Forecasting January 8, 2015 - 12:00pm Addthis The Energy Department today announced $2.5 million for a new project to research the atmospheric processes that generate wind in mountain-valley regions. This in-depth research, conducted by Vaisala of Louisville, Colorado, will be used to improve the wind industry's weather models for short-term wind forecasts, especially for

  2. Value of Improved Short-Term Wind Power Forecasting

    SciTech Connect (OSTI)

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

    2015-02-01

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

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

    SciTech Connect (OSTI)

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

    2014-05-01

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

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

    Reports and Publications (EIA)

    2010-01-01

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

  5. The Value of Improved Short-Term Wind Power Forecasting

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

    The Value of Improved Short- Term Wind Power Forecasting B.-M. Hodge and A. Florita National Renewable Energy Laboratory J. Sharp Sharply Focused, LLC M. Margulis and D. Mcreavy Lockheed Martin Technical Report NREL/TP-5D00-63175 February 2015 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL)

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

    Gasoline and Diesel Fuel Update (EIA)

    Uncertainties in the Short-Term Global Petroleum and Other Liquids Supply Forecast February 2014 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | STEO Supplement: Uncertainties in the Global Petroleum and Other Liquids Supply Forecast i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data,

  7. 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.

    2012-09-01

    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.

  8. Short-Term Energy Carbon Dioxide Emissions Forecasts August 2009

    Reports and Publications (EIA)

    2009-01-01

    Supplement to the Short-Term Energy Outlook. Short-term projections for U.S. carbon dioxide emissions of the three fossil fuels: coal, natural gas, and petroleum.

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

    Reports and Publications (EIA)

    1998-01-01

    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. 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.

    2007-12-01

    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.

  11. 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

    2014-04-30

    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.

  12. 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, Final Report

    SciTech Connect (OSTI)

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

    2014-04-30

    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.

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

    SciTech Connect (OSTI)

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

    2013-01-01

    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. 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.

    2012-09-01

    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.

  15. A comparison of water vapor quantities from model short-range forecasts and ARM observations

    SciTech Connect (OSTI)

    Hnilo, J J

    2006-03-17

    Model evolution and improvement is complicated by the lack of high quality observational data. To address a major limitation of these measurements the Atmospheric Radiation Measurement (ARM) program was formed. For the second quarter ARM metric we will make use of new water vapor data that has become available, and called the 'Merged-sounding' value added product (referred to as OBS, within the text) at three sites: the North Slope of Alaska (NSA), Darwin Australia (DAR) and the Southern Great Plains (SGP) and compare these observations to model forecast data. Two time periods will be analyzed March 2000 for the SGP and October 2004 for both DAR and NSA. The merged-sounding data have been interpolated to 37 pressure levels (e.g., from 1000hPa to 100hPa at 25hPa increments) and time averaged to 3 hourly data for direct comparison to our model output.

  16. A comparison of model short-range forecasts and the ARM Microbase data

    SciTech Connect (OSTI)

    Hnilo, J J

    2006-09-22

    For the fourth quarter ARM metric we will make use of new liquid water data that has become available, and called the 'Microbase' value added product (referred to as OBS, within the text) at three sites: the North Slope of Alaska (NSA), Tropical West Pacific (TWP) and the Southern Great Plains (SGP) and compare these observations to model forecast data. Two time periods will be analyzed March 2000 for the SGP and October 2004 for both TWP and NSA. The Microbase data have been averaged to 35 pressure levels (e.g., from 1000hPa to 100hPa at 25hPa increments) and time averaged to 3hourly data for direct comparison to our model output.

  17. Molecular dynamics for 400 million particles with short-range interactions

    SciTech Connect (OSTI)

    Deng, Y.; McCoy, R.A.; Marr, R.B.

    1995-07-01

    We report the design and performance of a computational molecular dynamics (MD) code for 400 million particles interacting through the standard pairwise 6-12 Lennard-Jones potential on a 1024-node Intel Paragon, a distributed-memory MIMD parallel computer. The initially recorded {open_quotes}particle-step time{close_quotes} was .4 microseconds. A new inter-node communication strategy ensures high parallel efficiency for a large number of nodes. Besides the ability to tackle large problems, our implementation incorporates a novel method for dynamic load balancing. Our communication and load balancing enhancements provide increased efficiency and flexibility for our MD code. vet are general enough for use in other parallel algorithms.

  18. Short and Long-Term Perspectives: The Impact on Low-Income Consumers of Forecasted Energy Price Increases in 2008 and A Cap & Trade Carbon Policy in 2030

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred

    2008-01-01

    The Department of Energy's Energy Information Administration (EIA) recently released its short-term forecast for residential energy prices for the winter of 2007-2008. The forecast indicates increases in costs for low-income consumers in the year ahead, particularly for those using fuel oil to heat their homes. In the following analysis, the Oak Ridge National Laboratory has integrated the EIA price projections with the Residential Energy Consumption Survey (RECS) for 2001 in order to project the impact of these price increases on the nation's low-income households by primary heating fuel type, nationally and by Census Region. The report provides an update of bill estimates provided in a previous study, "The Impact Of Forecasted Energy Price Increases On Low-Income Consumers" (Eisenberg, 2005). The statistics are intended for use by policymakers in the Department of Energy's Weatherization Assistance Program and elsewhere who are trying to gauge the nature and severity of the problems that will be faced by eligible low-income households during the 2008 fiscal year. In addition to providing expenditure forecasts for the year immediately ahead, this analysis uses a similar methodology to give policy makers some insight into one of the major policy debates that will impact low-income energy expenditures well into the middle decades of this century and beyond. There is now considerable discussion of employing a cap-and-trade mechanism to first limit and then reduce U.S. emissions of carbon into the atmosphere in order to combat the long-range threat of human-induced climate change. The Energy Information Administration has provided an analysis of projected energy prices in the years 2020 and 2030 for one such cap-and-trade carbon reduction proposal that, when integrated with the RECS 2001 database, provides estimates of how low-income households will be impacted over the long term by such a carbon reduction policy.

  19. Solar Forecasting | Department of Energy

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

    Systems Integration » Solar Forecasting Solar Forecasting On December 7, 2012, DOE announced $8 million to fund two solar projects that are helping utilities and grid operators better forecast when, where, and how much solar power will be produced at U.S. solar energy plants. Part of the SunShot Systems Integration efforts, the Solar Forecasting projects will allow power system operators to integrate more solar energy into the electricity grid, and ensure the economic and reliable delivery of

  20. DOE Announces More than $5 Million to Support Wind Energy Development |

    Energy Savers [EERE]

    Department of Energy than $5 Million to Support Wind Energy Development DOE Announces More than $5 Million to Support Wind Energy Development September 13, 2010 - 12:00am Addthis Washington, DC - U.S. Energy Secretary Steven Chu announced today that the Department of Energy is awarding more than $5 million to support U.S. wind energy development. Two projects receiving a total of $3.4 million over two years will improve short-term wind forecasting, which will accelerate the use of wind power

  1. Forecasting Flu

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

    Forecasting Flu March 6, 2016 Forecasting Flu What if we could forecast infectious diseases the same way we forecast the weather, and predict how diseases like Dengue, Typhus or Zika were going to spread? Using real-time data from Wikipedia and social media, Sara del Valle and her team from Los Alamos National Laboratory have developed a global disease-forecasting system that will improve the way we respond to epidemics. Using this model, individuals and public health officials can monitor

  2. U.S. crude oil production expected to top 9 million barrels per day in December

    Gasoline and Diesel Fuel Update (EIA)

    crude oil production expected to top 9 million barrels per day in December U.S. crude oil production is expected to continue to increase through next year, despite the outlook for lower crude oil prices. In its new short-term forecast, the U.S. Energy Information Administration said monthly average oil production is on track to surpass 9 million barrels per day in December for the first time since 1986 and then rise to an average 9.4 million barrels a day next year. Even though that's down about

  3. Wind Forecasting Improvement Project | Department of Energy

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

    Forecasting Improvement Project Wind Forecasting Improvement Project October 3, 2011 - 12:12pm Addthis This is an excerpt from the Third Quarter 2011 edition of the Wind Program R&D Newsletter. In July, the Department of Energy launched a $6 million project with the National Oceanic and Atmospheric Administration (NOAA) and private partners to improve wind forecasting. Wind power forecasting allows system operators to anticipate the electrical output of wind plants and adjust the electrical

  4. RACORO Forecasting

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

    Hartsock CIMMS, University of Oklahoma  ARM AAF Wiki page  Weather Briefings  Observed Weather  Cloud forecasting models  BUFKIT forecast soundings + guidance from Norman NWS enhanced pages and discussions NAM-WRF updated twice/day (12Z and 00Z) Forecast out to 84-hours RUC (updated every 3 hours) Operational RUC forecast only goes out 12 hours (developmental out 24 hours)

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

    Energy Savers [EERE]

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

  6. Science on Tap - Forecasting illness

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

    Science on Tap - Forecasting illness Science on Tap - Forecasting illness WHEN: Mar 17, 2016 5:30 PM - 7:00 PM WHERE: UnQuarked Wine Room 145 Central Park Square, Los Alamos, New Mexico 87544 USA CONTACT: Linda Anderman (505) 665-9196 CATEGORY: Bradbury INTERNAL: Calendar Login Event Description Mark your calendars for this event held every third Thursday from 5:30 to 7 p.m. A short presentation is followed by a lively discussion on a different subject each month. Forecasting the flu (and other

  7. Acquisition Forecast

    Broader source: Energy.gov [DOE]

    It is the policy of the Department of Energy (DOE) and the National Nuclear Security Administration (NNSA) to provide timely information to the public regarding DOE/NNSA’s forecast of future prime contracting opportunities and subcontracting opportunities which are available via the Department’s major site and facilities management contractors.

  8. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    Gasoline and Diesel Fuel Update (EIA)

    Coal Coal Supply EIA estimates that U.S. coal production for February 2016 was 54 million short tons (MMst), a 4 MMst (7%) decrease from the previous month and 18 MMst less than in February 2015. Forecast coal production is expected to decrease by 111 MMst (12%) in 2016, which would be the largest annual percentage decline since 1958. In 2016, forecast Appalachian and Western region production declines by 9% and 17%, respectively, and Interior region production falls by 4%. Total coal production

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

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

    research project whose overarching goals are to improve the accuracy of short-term wind energy forecasts, and to demonstrate the economic value of these improvements. WFIP Round...

  10. Funding Opportunity Announcement for Wind Forecasting Improvement Project

    Office of Environmental Management (EM)

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

  11. Short-term energy outlook, annual supplement 1994

    SciTech Connect (OSTI)

    Not Available

    1994-08-01

    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.

  12. Short-term energy outlook annual supplement, 1993

    SciTech Connect (OSTI)

    1993-08-06

    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.

  13. Short-Term Energy Outlook January 2014

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

    4 1 January 2014 Short-Term Energy Outlook (STEO) Highlights This edition of the Short-Term Energy Outlook is the first to include forecasts for 2015. After falling to the...

  14. " Million Housing Units, Final...

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

    4 Water Heating in U.S. Homes, by Number of Household Members, 2009" " Million Housing ... (millions)" ,,,,,,"5 or More Members" "Water Heating",,"1 Member","2 Members","3 ...

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

    Reports and Publications (EIA)

    2003-01-01

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

  16. Wind Power Forecasting

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

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

  17. Wind Power Forecasting Data

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

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

  18. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    (STEO) Highlights ï‚· This edition of the Short-Term Energy Outlook is the first to include forecasts for 2016. ï‚· December was the sixth consecutive month in which monthly average Brent prices decreased, falling $17/barrel (bbl) from November to a monthly average of $62/bbl, the lowest since May 2009. The December price decline reflects continued growth in U.S. tight oil production, strong global supply, and weakening outlooks for the global economy and oil demand growth. ï‚· EIA forecasts

  19. NREL: Transmission Grid Integration - Forecasting

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

    generation output by using forecasts that incorporate meteorological data to predict production. Such systems typically provide forecasts at a number of timescales, ranging from...

  20. " Million Housing Units, Final...

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

    Water Heating in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Water ...

  1. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    (STEO) Highlights * North Sea Brent crude oil prices averaged $44/barrel (b) in November, a $4/b decrease from October. Global oil inventories are estimated to have increased by 1.3 million barrels per day (b/d) in November, putting downward pressure on Brent prices. * EIA forecasts that Brent crude oil prices will average $53/b in 2015 and $56/b in 2016. Forecast West Texas Intermediate (WTI) crude oil prices average $4/b lower than the Brent price in 2015 and $5/b lower in 2016. The current

  2. Voluntary Green Power Market Forecast through 2015

    SciTech Connect (OSTI)

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

    2010-05-01

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

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

    SciTech Connect (OSTI)

    Lundquist, J; Glascoe, L; Obrecht, J

    2010-03-18

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

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

    SciTech Connect (OSTI)

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

    2015-10-11

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

  5. LED Lighting Forecast | Department of Energy

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

    Publications Market Studies LED Lighting Forecast LED Lighting Forecast The DOE report Energy Savings Forecast of Solid-State Lighting in General Illumination Applications ...

  6. The forecast calls for flu

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

    Laboratory found a way to forecast the flu season and even next week's sickness trends. ... Laboratory found a way to forecast the flu season and even next week's sickness trends. ...

  7. Wind Energy Forecasting: A Collaboration of the National Center for Atmospheric Research (NCAR) and Xcel Energy

    SciTech Connect (OSTI)

    Parks, K.; Wan, Y. H.; Wiener, G.; Liu, Y.

    2011-10-01

    The focus of this report is the wind forecasting system developed during this contract period with results of performance through the end of 2010. The report is intentionally high-level, with technical details disseminated at various conferences and academic papers. At the end of 2010, Xcel Energy managed the output of 3372 megawatts of installed wind energy. The wind plants span three operating companies1, serving customers in eight states2, and three market structures3. The great majority of the wind energy is contracted through power purchase agreements (PPAs). The remainder is utility owned, Qualifying Facilities (QF), distributed resources (i.e., 'behind the meter'), or merchant entities within Xcel Energy's Balancing Authority footprints. Regardless of the contractual or ownership arrangements, the output of the wind energy is balanced by Xcel Energy's generation resources that include fossil, nuclear, and hydro based facilities that are owned or contracted via PPAs. These facilities are committed and dispatched or bid into day-ahead and real-time markets by Xcel Energy's Commercial Operations department. Wind energy complicates the short and long-term planning goals of least-cost, reliable operations. Due to the uncertainty of wind energy production, inherent suboptimal commitment and dispatch associated with imperfect wind forecasts drives up costs. For example, a gas combined cycle unit may be turned on, or committed, in anticipation of low winds. The reality is winds stayed high, forcing this unit and others to run, or be dispatched, to sub-optimal loading positions. In addition, commitment decisions are frequently irreversible due to minimum up and down time constraints. That is, a dispatcher lives with inefficient decisions made in prior periods. In general, uncertainty contributes to conservative operations - committing more units and keeping them on longer than may have been necessary for purposes of maintaining reliability. The downside is costs are higher. In organized electricity markets, units that are committed for reliability reasons are paid their offer price even when prevailing market prices are lower. Often, these uplift charges are allocated to market participants that caused the inefficient dispatch in the first place. Thus, wind energy facilities are burdened with their share of costs proportional to their forecast errors. For Xcel Energy, wind energy uncertainty costs manifest depending on specific market structures. In the Public Service of Colorado (PSCo), inefficient commitment and dispatch caused by wind uncertainty increases fuel costs. Wind resources participating in the Midwest Independent System Operator (MISO) footprint make substantial payments in the real-time markets to true-up their day-ahead positions and are additionally burdened with deviation charges called a Revenue Sufficiency Guarantee (RSG) to cover out of market costs associated with operations. Southwest Public Service (SPS) wind plants cause both commitment inefficiencies and are charged Southwest Power Pool (SPP) imbalance payments due to wind uncertainty and variability. Wind energy forecasting helps mitigate these costs. Wind integration studies for the PSCo and Northern States Power (NSP) operating companies have projected increasing costs as more wind is installed on the system due to forecast error. It follows that reducing forecast error would reduce these costs. This is echoed by large scale studies in neighboring regions and states that have recommended adoption of state-of-the-art wind forecasting tools in day-ahead and real-time planning and operations. Further, Xcel Energy concluded reduction of the normalized mean absolute error by one percent would have reduced costs in 2008 by over $1 million annually in PSCo alone. The value of reducing forecast error prompted Xcel Energy to make substantial investments in wind energy forecasting research and development.

  8. U.S. crude oil production expected to top 8 million barrels per day, highest output since 1988

    Gasoline and Diesel Fuel Update (EIA)

    U.S. crude oil production expected to top 8 million barrels per day, highest output since 1988 U.S. crude oil production in 2014 is now expected to top 8 million barrels per day for the first time in over a quarter century. The U.S. Energy Information Administration boosted its forecast for daily crude oil production this year by 120,000 barrels to 7.4 million barrels per day. For 2014, EIA's forecast for daily production was revised upward by 310,000 barrels to nearly 8.2 million barrels per

  9. " Million Housing Units, Final...

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

    2 Water Heating in U.S. Homes, by OwnerRenter Status, 2009" " Million Housing Units, ...","Own","Rent","Own","Rent","Own","Rent" "Water Heating" "Total Homes",113.6,76.5,37.1,63....

  10. " Million Housing Units, Final...

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

    0 Water Heating in U.S. Homes in South Region, Divisions, and States, 2009" " Million ... MD, WV",,,,"AL, KY, MS",,,"AR, LA, OK" "Water Heating",,,,"VA","GA","FL",,"NC, ...

  11. " Million Housing Units, Final...

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

    11 Water Heating in U.S. Homes in West Region, Divisions, and States, 2009" " Million ... WY",,,,"Total Pacific",,"AK, HI, OR, WA" "Water Heating",,,,,"CO",,,"AZ","NM, NV",,"CA" ...

  12. " Million Housing Units, Final...

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

    8 Water Heating in U.S. Homes in Northeast Region, Divisions, and States, 2009" " Million ... Northeast",,,"CT, ME, NH, RI, VT" "Water Heating",,,,"MA",,,"NY","PA","NJ" "Total ...

  13. " Million Housing Units, Final...

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

    6 Water Heating in U.S. Homes, by Climate Region, 2009" " Million Housing Units, Final" ... Cold","Mixed- Humid","Mixed-Dry" "Water Heating",,"Cold",,"Hot-Dry","Hot-Humid","M...

  14. " Million Housing Units, Final...

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

    5 Water Heating in U.S. Homes, by Household Income, 2009" " Million Housing Units, Final" ... to 119,999","120,000 or More" "Water Heating" "Total Homes",113.6,23.7,27.5,21....

  15. " Million Housing Units, Final...

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

    3 Water Heating in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, ... to 1989","1990 to 1999","2000 to 2009" "Water Heating" "Total Homes",113.6,14.4,5.2,13.5...

  16. " Million Housing Units, Final...

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

    9 Water Heating in U.S. Homes in Midwest Region, Divisions, and States, 2009" " Million ... Midwest",,,..."IA, MN, ND, SD" "Water Heating",,,,"IL","MI","WI","IN, ...

  17. " Million Housing Units, Final...

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

    Water Heating in U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ... Units","5 or More Units","Mobile Homes" "Water Heating" "Total Homes",113.6,71.8,6.7,9,19...

  18. " Million Housing Units, Final...

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

    ,"Total U.S.1 (millions)",,,..."Below Poverty Line2" ,,"Less than 20,000","20,000 to ... the number of households below the poverty line, the annual household income and ...

  19. " Million Housing Units, Final"

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

    ,"Total U.S.1 (millions)",,,..."Below Poverty Line2" ,,"Less than 20,000","20,000 to ... the number of households below the poverty line, the annual household income and ...

  20. probabilistic energy production forecasts

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

    probabilistic energy production forecasts - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management

  1. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    Gasoline and Diesel Fuel Update (EIA)

    Global Petroleum and Other Liquids Global oil inventories are forecast to increase by an annual average of 1.6 million b/d in 2016 and by an additional 0.6 million b/d in 2017. These inventory builds are larger than previously expected, delaying the rebalancing of the oil market and contributing to lower forecast oil prices. Compared with last month's STEO, EIA has revised forecast supply growth higher for 2016 and revised forecast demand growth lower for both 2016 and 2017. Higher 2016 supply

  2. EIA revises up forecast for U.S. 2013 crude oil production by 70,000 barrels per day

    Gasoline and Diesel Fuel Update (EIA)

    EIA revises up forecast for U.S. 2013 crude oil production by 70,000 barrels per day The forecast for U.S. crude oil production keeps going higher. The U.S. Energy Information Administration revised upward its projection for crude oil output in 2013 by 70,000 barrels per day and for next year by 190,000 barrels per day. U.S. oil production is now on track to average 7.5 million barrels per day this year and rise to 8.4 million barrels per day in 2014, according to EIA's latest monthly forecast.

  3. Using Wikipedia to forecast diseases

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

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

  4. Forecast Energy | Open Energy Information

    Open Energy Info (EERE)

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

  5. UWIG Forecasting Workshop -- Albany (Presentation)

    SciTech Connect (OSTI)

    Lew, D.

    2011-04-01

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

  6. Using Wikipedia to forecast diseases

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

    based on today's forecast." Del Valle and her team were able to successfully monitor influenza in the United States, Poland, Japan and Thailand, dengue fever in Brazil and...

  7. A survey on wind power ramp forecasting.

    SciTech Connect (OSTI)

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

    2011-02-23

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

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

    SciTech Connect (OSTI)

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

    2011-12-06

    Wind power forecasting (WPF) provides important inputs to power system operators and electricity market participants. It is therefore not surprising that WPF has attracted increasing interest within the electric power industry. In this report, we document our research on improving statistical WPF algorithms for point, uncertainty, and ramp forecasting. Below, we provide a brief introduction to the research presented in the following chapters. For a detailed overview of the state-of-the-art in wind power forecasting, we refer to [1]. Our related work on the application of WPF in operational decisions is documented in [2]. Point forecasts of wind power are highly dependent on the training criteria used in the statistical algorithms that are used to convert weather forecasts and observational data to a power forecast. In Chapter 2, we explore the application of information theoretic learning (ITL) as opposed to the classical minimum square error (MSE) criterion for point forecasting. In contrast to the MSE criterion, ITL criteria do not assume a Gaussian distribution of the forecasting errors. We investigate to what extent ITL criteria yield better results. In addition, we analyze time-adaptive training algorithms and how they enable WPF algorithms to cope with non-stationary data and, thus, to adapt to new situations without requiring additional offline training of the model. We test the new point forecasting algorithms on two wind farms located in the U.S. Midwest. Although there have been advancements in deterministic WPF, a single-valued forecast cannot provide information on the dispersion of observations around the predicted value. We argue that it is essential to generate, together with (or as an alternative to) point forecasts, a representation of the wind power uncertainty. Wind power uncertainty representation can take the form of probabilistic forecasts (e.g., probability density function, quantiles), risk indices (e.g., prediction risk index) or scenarios (with spatial and/or temporal dependence). Statistical approaches to uncertainty forecasting basically consist of estimating the uncertainty based on observed forecasting errors. Quantile regression (QR) is currently a commonly used approach in uncertainty forecasting. In Chapter 3, we propose new statistical approaches to the uncertainty estimation problem by employing kernel density forecast (KDF) methods. We use two estimators in both offline and time-adaptive modes, namely, the Nadaraya-Watson (NW) and Quantilecopula (QC) estimators. We conduct detailed tests of the new approaches using QR as a benchmark. One of the major issues in wind power generation are sudden and large changes of wind power output over a short period of time, namely ramping events. In Chapter 4, we perform a comparative study of existing definitions and methodologies for ramp forecasting. We also introduce a new probabilistic method for ramp event detection. The method starts with a stochastic algorithm that generates wind power scenarios, which are passed through a high-pass filter for ramp detection and estimation of the likelihood of ramp events to happen. The report is organized as follows: Chapter 2 presents the results of the application of ITL training criteria to deterministic WPF; Chapter 3 reports the study on probabilistic WPF, including new contributions to wind power uncertainty forecasting; Chapter 4 presents a new method to predict and visualize ramp events, comparing it with state-of-the-art methodologies; Chapter 5 briefly summarizes the main findings and contributions of this report.

  9. U.S. monthly oil production tops 8 million barrels per day for the first time since 1988

    Gasoline and Diesel Fuel Update (EIA)

    U.S. crude oil production expected to hit four-decade high during 2015 U.S. crude oil production over the next two years is expected to grow to its highest level since the early 1970s. Oil output increased by 1 million barrels per day in 2013...and is expected to repeat that growth rate during 2014....according to the new forecast from the U.S. Energy Information Administration. U.S. crude oil production is forecast to average 8.5 million barrels per day this year and then rise to 9.3 million

  10. Short-Term Energy Outlook February 2016

    Gasoline and Diesel Fuel Update (EIA)

    (STEO) Highlights * North Sea Brent crude oil prices averaged $31/barrel (b) in January, a $7/b decrease from December and the lowest monthly average price since December 2003. Brent crude oil prices averaged $52/b in 2015, down $47/b from the average in 2014. Growth in global liquids inventories, which averaged 1.8 million barrels per day (b/d) in 2015, continues to put downward pressure on Brent prices. * Brent crude oil prices are forecast to average $38/b in 2016 and $50/b in 2017. Forecast

  11. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    and Summer Fuels Outlook April 2015 1 April 2015 Short-Term Energy and Summer Fuels Outlook (STEO) Highlights * On April 2, Iran and the five permanent members of the United Nations Security Council plus Germany (P5+1) reached a framework agreement that could result in the lifting of oil- related sanctions against Iran. Lifting sanctions could substantially change the STEO forecast for oil supply, demand, and prices by allowing a significantly increased volume of Iranian barrels to enter the

  12. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    5 1 October 2015 Short-Term Energy and Winter Fuels Outlook (STEO) Highlights ï‚· EIA projects average U.S. household expenditures for natural gas, heating oil, and propane during the upcoming winter heating season (October 1 through March 31) will be 10%, 25%, and 18% lower, respectively, than last winter, because of lower fuel prices and lower heating demand. Forecast lower heating demand and relatively unchanged prices contribute to electricity expenditures that are 3% lower than last winter

  13. Regional Short-Term Energy Model (RSTEM) Overview

    Reports and Publications (EIA)

    2009-01-01

    The Regional Short-Term Energy Model (RSTEM) utilizes estimated econometric relationships for demand, inventories and prices to forecast energy market outcomes across key sectors and selected regions throughout the United States.

  14. Intermediate future forecasting system

    SciTech Connect (OSTI)

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

    1983-12-01

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

  15. Solar Energy Market Forecast | Open Energy Information

    Open Energy Info (EERE)

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

  16. Funding Opportunity Announcement for Wind Forecasting Improvement...

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

    Funding Opportunity Announcement for Wind Forecasting Improvement Project in Complex Terrain Funding Opportunity Announcement for Wind Forecasting Improvement Project in Complex...

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

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

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

  18. ON THE IMPACT OF SUPER RESOLUTION WSR-88D DOPPLER RADAR DATA ASSIMILATION ON HIGH RESOLUTION NUMERICAL MODEL FORECASTS

    SciTech Connect (OSTI)

    Chiswell, S

    2009-01-11

    Assimilation of radar velocity and precipitation fields into high-resolution model simulations can improve precipitation forecasts with decreased 'spin-up' time and improve short-term simulation of boundary layer winds (Benjamin, 2004 & 2007; Xiao, 2008) which is critical to improving plume transport forecasts. Accurate description of wind and turbulence fields is essential to useful atmospheric transport and dispersion results, and any improvement in the accuracy of these fields will make consequence assessment more valuable during both routine operation as well as potential emergency situations. During 2008, the United States National Weather Service (NWS) radars implemented a significant upgrade which increased the real-time level II data resolution to 8 times their previous 'legacy' resolution, from 1 km range gate and 1.0 degree azimuthal resolution to 'super resolution' 250 m range gate and 0.5 degree azimuthal resolution (Fig 1). These radar observations provide reflectivity, velocity and returned power spectra measurements at a range of up to 300 km (460 km for reflectivity) at a frequency of 4-5 minutes and yield up to 13.5 million point observations per level in super-resolution mode. The migration of National Weather Service (NWS) WSR-88D radars to super resolution is expected to improve warning lead times by detecting small scale features sooner with increased reliability; however, current operational mesoscale model domains utilize grid spacing several times larger than the legacy data resolution, and therefore the added resolution of radar data is not fully exploited. The assimilation of super resolution reflectivity and velocity data into high resolution numerical weather model forecasts where grid spacing is comparable to the radar data resolution is investigated here to determine the impact of the improved data resolution on model predictions.

  19. 3D cloud detection and tracking system for solar forecast using multiple sky imagers

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

    Peng, Zhenzhou; Yu, Dantong; Huang, Dong; Heiser, John; Yoo, Shinjae; Kalb, Paul

    2015-06-23

    We propose a system for forecasting short-term solar irradiance based on multiple total sky imagers (TSIs). The system utilizes a novel method of identifying and tracking clouds in three-dimensional space and an innovative pipeline for forecasting surface solar irradiance based on the image features of clouds. First, we develop a supervised classifier to detect clouds at the pixel level and output cloud mask. In the next step, we design intelligent algorithms to estimate the block-wise base height and motion of each cloud layer based on images from multiple TSIs. Thus, this information is then applied to stitch images together intomore » larger views, which are then used for solar forecasting. We examine the system’s ability to track clouds under various cloud conditions and investigate different irradiance forecast models at various sites. We confirm that this system can 1) robustly detect clouds and track layers, and 2) extract the significant global and local features for obtaining stable irradiance forecasts with short forecast horizons from the obtained images. Finally, we vet our forecasting system at the 32-megawatt Long Island Solar Farm (LISF). Compared with the persistent model, our system achieves at least a 26% improvement for all irradiance forecasts between one and fifteen minutes.« less

  20. 3D cloud detection and tracking system for solar forecast using multiple sky imagers

    SciTech Connect (OSTI)

    Peng, Zhenzhou; Yu, Dantong; Huang, Dong; Heiser, John; Yoo, Shinjae; Kalb, Paul

    2015-06-23

    We propose a system for forecasting short-term solar irradiance based on multiple total sky imagers (TSIs). The system utilizes a novel method of identifying and tracking clouds in three-dimensional space and an innovative pipeline for forecasting surface solar irradiance based on the image features of clouds. First, we develop a supervised classifier to detect clouds at the pixel level and output cloud mask. In the next step, we design intelligent algorithms to estimate the block-wise base height and motion of each cloud layer based on images from multiple TSIs. Thus, this information is then applied to stitch images together into larger views, which are then used for solar forecasting. We examine the system’s ability to track clouds under various cloud conditions and investigate different irradiance forecast models at various sites. We confirm that this system can 1) robustly detect clouds and track layers, and 2) extract the significant global and local features for obtaining stable irradiance forecasts with short forecast horizons from the obtained images. Finally, we vet our forecasting system at the 32-megawatt Long Island Solar Farm (LISF). Compared with the persistent model, our system achieves at least a 26% improvement for all irradiance forecasts between one and fifteen minutes.

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

    SciTech Connect (OSTI)

    Not Available

    1994-08-02

    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.

  2. Value of Wind Power Forecasting

    SciTech Connect (OSTI)

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

    2011-04-01

    This study, building on the extensive models developed for the Western Wind and Solar Integration Study (WWSIS), uses these WECC models to evaluate the operating cost impacts of improved day-ahead wind forecasts.

  3. Solar Forecast Improvement Project | Department of Energy

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

    Solar Forecast Improvement Project Solar Forecast Improvement Project NOAA.png For the Solar Forecast Improvement Project (SFIP), the Earth System Research Laboratory (ESRL) is partnering with the National Center for Atmospheric Research (NCAR) and IBM to develop more accurate methods for solar forecasts using their state-of-the-art weather models. APPROACH NOAA solar.png SFIP has three main goals: 1) to develop solar forecasting metrics tailored to the utility sector; 2) to improve solar

  4. Investigating the Correlation Between Wind and Solar Power Forecast Errors in the Western Interconnection: Preprint

    SciTech Connect (OSTI)

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

    2013-05-01

    Wind and solar power generations differ from conventional energy generation because of the variable and uncertain nature of their power output. This variability and uncertainty can have significant impacts on grid operations. Thus, short-term forecasting of wind and solar generation is uniquely helpful for power system operations to balance supply and demand in an electricity system. This paper investigates the correlation between wind and solar power forecasting errors.

  5. U.S. monthly oil production tops 8 million barrels per day for the first time since 1988

    Gasoline and Diesel Fuel Update (EIA)

    monthly crude oil production highest in nearly 26 year Estimated U.S. crude oil production in May averaged almost 8.4 million barrels per day, the highest output for any month since March 1988. In its new monthly forecast, the U.S. Energy Information Administration expects domestic crude oil production will also average 8.4 million barrels per day this year.....which is 1 million barrels per day higher than last year....and then rise to 9.3 million barrels per day in 2015. That would be highest

  6. Picture of the Week: Forecasting Flu

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

    3 Forecasting Flu What if we could forecast infectious diseases the same way we forecast the weather, and predict how diseases like Dengue, Typhus or Zika were going to spread? March 6, 2016 flu epidemics modellled using social media Watch the video on YouTube. Forecasting Flu What if we could forecast infectious diseases the same way we forecast the weather, and predict how diseases like Dengue, Typhus or Zika were going to spread? Using real-time data from Wikipedia and social media, Sara del

  7. U.S. monthly oil production tops 8 million barrels per day for the first time since 1988

    Gasoline and Diesel Fuel Update (EIA)

    Snow and cold cut into U.S. crude oil production this winter This winter's harsh weather conditions temporarily slowed U.S. crude oil production. In its new forecast....the U.S. Energy Information Administration said oil production in the Bakken formation in North Dakota and Montana hit 1 million barrels per day last November. However, winter storms caused a drop in the oil output from the Bakken formation during December. Production in the Bakken region is forecast to return to 1 million

  8. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    March 2015 Short-Term Energy Outlook (STEO) Highlights ï‚· North Sea Brent crude oil prices averaged $58/barrel (bbl) in February, an increase of $10/bbl from the January average, and the first monthly average price increase since June 2014. The price increase reflects news of falling U.S. crude oil rig counts and announced reductions in capital expenditures by major oil companies, along with lower-than-expected Iraqi crude oil exports. ï‚· EIA forecasts that Brent crude oil prices will average

  9. Forecasting Water Quality & Biodiversity

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

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

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

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

    5 1 Short-Term Energy Outlook August 2005 Short-Term Energy Outlook - Regional Enhancements Starting with this edition of the Short-Term Energy Outlook (STEO), EIA is introducing regional projections (the scope of which will vary by fuel) of energy prices, consumption, and production. The addition of regional data and forecasts will allow us to examine regional fuel demands and prices, regional fuel inventory trends, the interaction between regional electricity demand shifts, and regional

  11. Short-Term Energy Outlook- May 2003

    Gasoline and Diesel Fuel Update (EIA)

    3 1 Short-Term Energy Outlook May 2003 Overview World Oil Markets. The April 24 meeting of the Organization of Petroleum Exporting Countries (OPEC) raised official quotas for members (excluding Iraq) by 0.9 million barrels per day from the previous (suspended) quota to 25.4 million barrels per day. OPEC members also sought tighter compliance with quotas, calling for production cuts of 2 million barrels per day from April levels. We expect these measures to result in an average total OPEC

  12. Supply Forecast and Analysis (SFA)

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

    Matthew Langholtz Science Team Leader Oak Ridge National Laboratory DOE Bioenergy Technologies Office (BETO) 2015 Project Peer Review Supply Forecast and Analysis (SFA) 2 | Bioenergy Technologies Office Goal Statement * Provide timely and credible estimates of feedstock supplies and prices to support - the development of a bioeconomy; feedstock demand analysis of EISA, RFS2, and RPS mandates - the data and analysis of other projects in Analysis and Sustainability, Feedstock Supply and Logistics,

  13. U.S. oil production forecast update reflects lower rig count

    Gasoline and Diesel Fuel Update (EIA)

    U.S. oil production forecast update reflects lower rig count Lower oil prices and fewer rigs drilling for crude oil are expected to slow U.S. oil production growth this year and in 2016. U.S. crude oil production is still expected to average 9.2 million barrels per day this year. That's up half a million barrels per day from last year and the highest output level in more than four decades. A substantial part of the year-over-year increase reflects rapid production growth throughout 2014.

  14. A $5 Million Boost for Midsize Wind Turbines and Grid Connectivity |

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

    Department of Energy A $5 Million Boost for Midsize Wind Turbines and Grid Connectivity A $5 Million Boost for Midsize Wind Turbines and Grid Connectivity September 14, 2010 - 10:52am Addthis Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs What does this mean for me? With better forecasting, utilities can more reliably connect variable power sources such as wind energy with electricity grids, and can decrease their need for back-up energy sources such as natural

  15. " Million U.S. Housing Units"

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

    Lighting Usage Indicators by UrbanRural Location, 2005" " Million U.S. Housing Units" ,,"UrbanRural Location (as Self-Reported)" ,"Housing Units (millions)" "Lighting Usage ...

  16. " Million U.S. Housing Units"

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

    Water Heating Characteristics by UrbanRural Location, 2005" " Million U.S. Housing Units" ,,"UrbanRural Location (as Self-Reported)" ,"Housing Units (millions)" "Water Heating ...

  17. Short-Term Energy Outlook Model Documentation: Petroleum Product Prices Module

    Reports and Publications (EIA)

    2015-01-01

    The petroleum products price module of the Short-Term Energy Outlook (STEO) model is designed to provide U.S. average wholesale and retail price forecasts for motor gasoline, diesel fuel, heating oil, and jet fuel.

  18. Short-Term Energy Outlook Model Documentation: Motor Gasoline Consumption Model

    Reports and Publications (EIA)

    2011-01-01

    The motor gasoline consumption module of the Short-Term Energy Outlook (STEO) model is designed to provide forecasts of total U.S. consumption of motor gasolien based on estimates of vehicle miles traveled and average vehicle fuel economy.

  19. Short-Term Energy Outlook Model Documentation: Regional Residential Heating Oil Price Model

    Reports and Publications (EIA)

    2009-01-01

    The regional residential heating oil price module of the Short-Term Energy Outlook (STEO) model is designed to provide residential retail price forecasts for the 4 census regions: Northeast, South, Midwest, and West.

  20. Short-Term Energy Outlook Model Documentation: Hydrocarbon Gas Liquids Supply and Demand

    Reports and Publications (EIA)

    2015-01-01

    The hydrocarbon gas liquids (ethane, propane, butanes, and natural gasoline) module of the Short-Term Energy Outlook (STEO) model is designed to provide forecasts of U.S. production, consumption, refinery inputs, net imports, and inventories.

  1. Short-Term Energy Outlook Model Documentation: Regional Residential Propane Price Model

    Reports and Publications (EIA)

    2009-01-01

    The regional residential propane price module of the Short-Term Energy Outlook (STEO) model is designed to provide residential retail price forecasts for the 4 Census regions: Northeast, South, Midwest, and West.

  2. U.S. monthly oil production tops 8 million barrels per day for the first time since 1988

    Gasoline and Diesel Fuel Update (EIA)

    monthly crude oil production highest in 26 years with bigger oil flows still to come U.S. crude oil production averaged 8.3 million barrels per day in April....the highest monthly level in 26 years....and output is expected to keep growing. In its new monthly forecast, the U.S. Energy Information Administration expects oil production to average 8.5 million barrels per day this year and increase to 9.2 million barrels per day next year. That would be the highest annual output level since 1972.

  3. U.S. monthly oil production tops 8 million barrels per day for the first time since 1988

    Gasoline and Diesel Fuel Update (EIA)

    Rising U.S. oil production cuts into petroleum imports Growing U.S. crude oil production is on track to push the amount of petroleum liquid fuels imports needed to meet domestic fuel consumption to the lowest level in more than four decades. U.S. crude oil production is expected to jump from 7.4 million barrels per day in 2013 to 8.5 million barrels per day this year.....and then rise to 9.3 million barrels a day in 2015, according to the new monthly forecast from the U.S. Energy Information

  4. U.S. monthly oil production tops 8 million barrels per day for the first time since 1988

    Gasoline and Diesel Fuel Update (EIA)

    oil production tops 8 million barrels per day for the first time since 1988 Estimated U.S. crude oil production in November topped 8 million barrels per day for the first time in 25 years, according to the new monthly energy forecast from the U.S. Energy Information Administration. Rising oil output from tight oil formations in North Dakota and Texas are playing a key role, with annual U.S. oil production expected to increase to an average of 8.5 million barrels per day next year. More oil

  5. ARM - CARES - Tracer Forecast for CARES

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

    CampaignsCarbonaceous Aerosols and Radiative Effects Study (CARES)Tracer Forecast for CARES Related Links CARES Home AAF Home ARM Data Discovery Browse Data Post-Campaign Data Sets Field Updates CARES Wiki Campaign Images Experiment Planning Proposal Abstract and Related Campaigns Science Plan Operations Plan Measurements Forecasts News News & Press Backgrounder (PDF, 1.45MB) G-1 Aircraft Fact Sheet (PDF, 1.3MB) Contacts Rahul Zaveri, Lead Scientist Tracer Forecasts for CARES This webpage

  6. UPF Forecast | Y-12 National Security Complex

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

    UPF Forecast UPF Forecast UPF Procurement provides the following forecast of subcontracting opportunities. Keep in mind that these requirements may be revised or cancelled, depending on program budget funding or departmental needs. If you have questions or would like to express an interest in any of the opportunities listed below, contact UPF Procurement. Descriptiona Methodb NAICS Est. Dollar Range RFP release/ Award datec Buyer/ Phone Commodities Equipment Rental FOC 238910 TBD 3Q FY15/ 3Q

  7. Short-Term Outlook for Hydrocarbon Gas Liquids - Energy Information...

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

    and Other Liquids Natural Gas Coal Electricity Renewables and Carbon Dioxide Emissions ... day (bd) in 2008 to 13.75 million bd in 2015. However, the Short-Term Energy Outlook ...

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

    SciTech Connect (OSTI)

    1995-05-02

    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.

  9. Project Profile: Forecasting and Influencing Technological Progress...

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

    Influencing Technological Progress in Solar Energy Project Profile: Forecasting and ... energy technologies based on estimates of future rates of progress and adoption. ...

  10. NREL: Resource Assessment and Forecasting Home Page

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

    are used to plan and develop renewable energy technologies and support climate change research. Learn more about NREL's resource assessment and forecasting research:...

  11. Forecast and Funding Arrangements - Hanford Site

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

    Annual Waste Forecast and Funding Arrangements About Us Hanford Site Solid Waste Acceptance Program What's New Acceptance Criteria Acceptance Process Becoming a new Hanford...

  12. Short-term energy outlook, Annual supplement 1995

    SciTech Connect (OSTI)

    1995-07-25

    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.

  13. Natural Gas Consumption and Prices Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    Natural Gas Consumption and Prices Short-Term Energy Outlook June 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Natural Gas Consumption and Prices - Short-Term Energy Outlook Model i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of

  14. Texas Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Texas Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 7,018,237...

  15. EIA lowers forecast for summer gasoline prices

    Gasoline and Diesel Fuel Update (EIA)

    EIA lowers forecast for summer gasoline prices U.S. gasoline prices are expected to be lower this summer than previously thought. The price for regular gasoline this summer is now expected to average $3.53 a gallon, according to the new monthly forecast from the U.S. Energy Information Administration. That's down 10 cents from last month's forecast and 16 cents cheaper than last summer. After reaching a weekly peak of $3.78 a gallon in late February, pump prices fell nine weeks in a row to $3.52

  16. Text-Alternative Version LED Lighting Forecast

    Broader source: Energy.gov [DOE]

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

  17. energy data + forecasting | OpenEI Community

    Open Energy Info (EERE)

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

  18. Offshore Lubricants Market Forecast | OpenEI Community

    Open Energy Info (EERE)

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

  19. Coal Fired Power Generation Market Forecast | OpenEI Community

    Open Energy Info (EERE)

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

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

    SciTech Connect (OSTI)

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

    2011-10-01

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

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

    SciTech Connect (OSTI)

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

    2013-10-01

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

  2. Nambe Pueblo Water Budget and Forecasting model.

    SciTech Connect (OSTI)

    Brainard, James Robert

    2009-10-01

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

  3. Crude oil and alternate energy production forecasts for the twenty-first century: The end of the hydrocarbon era

    SciTech Connect (OSTI)

    Edwards, J.D.

    1997-08-01

    Predictions of production rates and ultimate recovery of crude oil are needed for intelligent planning and timely action to ensure the continuous flow of energy required by the world`s increasing population and expanding economies. Crude oil will be able to supply increasing demand until peak world production is reached. The energy gap caused by declining conventional oil production must then be filled by expanding production of coal, heavy oil and oil shales, nuclear and hydroelectric power, and renewable energy sources (solar, wind, and geothermal). Declining oil production forecasts are based on current estimated ultimate recoverable conventional crude oil resources of 329 billion barrels for the United States and close to 3 trillion barrels for the world. Peak world crude oil production is forecast to occur in 2020 at 90 million barrels per day. Conventional crude oil production in the United States is forecast to terminate by about 2090, and world production will be close to exhaustion by 2100.

  4. U.S. monthly oil production tops 8 million barrels per day for the first time since 1988

    Gasoline and Diesel Fuel Update (EIA)

    World oil supply more than adequate to meet demand over next 2 years Rising U.S. crude oil production will help non-OPEC supply growth exceed global demand growth for the next two years. Non-OPEC petroleum and other liquids supply is expected to increase 1.9 million barrels per day this year, while oil consumption will grow just 1.3 million barrels per day, according to the U.S. Energy Information Administration's new monthly forecast. Next year....non-OPEC supply is expected to rise another 1.5

  5. U.S. monthly oil production tops 8 million barrels per day for the first time since 1988

    Gasoline and Diesel Fuel Update (EIA)

    to account for 91% of the growth in world oil production in 2015 The United States is expected to provide nine out of every 10 barrels of new global oil supplies in 2015. In its new forecast, the U.S. Energy Information Administration said it expects world oil production to rise by 1.3 million barrels per day next year....with U.S. daily oil output alone increasing by 1.2 million barrels. Rising U.S. oil production, along with more fuel-efficient vehicles on America's highways, is expected to

  6. Short-Term Energy Outlook January 2014

    Gasoline and Diesel Fuel Update (EIA)

    (STEO) Highlights ï‚· This edition of the Short-Term Energy Outlook is the first to include forecasts for 2015. ï‚· After falling to the lowest monthly average of 2013 in November, U.S. regular gasoline retail prices increased slightly to reach an average of $3.28 per gallon (gal) during December. The annual average regular gasoline retail price, which was $3.51/gal in 2013, is expected to fall to $3.46/gal in 2014 and $3.39/gal in 2015. ï‚· The North Sea Brent crude oil spot price in December

  7. Short-Term Energy Outlook July 2013

    Gasoline and Diesel Fuel Update (EIA)

    1 July 2013 Short-Term Energy Outlook (STEO) Highlights ï‚· The U.S. Energy Information Administration (EIA) expects that the Brent crude oil spot price will average $102 per barrel over the second half of 2013, and $100 per barrel in 2014. This forecast assumes there are no disruptions to energy markets arising from the recent unrest in Egypt. After increasing to $119 per barrel in early February 2013, the Brent crude oil spot price fell to a low of $97 per barrel in mid-April and then

  8. August 2012 Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    August 2012 1 August 2012 Short-Term Energy Outlook Highlights ï‚· EIA projects that the Brent crude oil spot price will average about $103 per barrel during the second half of 2012, about $3.50 per barrel higher than in last month's Outlook. The forecast Brent crude oil spot price falls to an average of $100 per barrel in 2013. The projected West Texas Intermediate (WTI) crude oil spot price discount to Brent crude oil narrows from about $14 in the third quarter of 2012 to $9 by late 2013.

  9. 1994 Solid waste forecast container volume summary

    SciTech Connect (OSTI)

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

    1994-09-01

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

  10. Short Term Energy Outlook, February 2003

    Gasoline and Diesel Fuel Update (EIA)

    3 1 Short-Term Energy Outlook February 2003 Overview World Oil Markets. World oil markets will likely remain tight through most of 2003, as petroleum inventories and global spare production capacity continue to dwindle amid blasts of cold weather and constrained output from Venezuela. OPEC efforts to increase output to make up for lower Venezuela output has reduced global spare production capacity to only 2 million barrels per day, leaving little room to make up for unexpected supply or demand

  11. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    2 Alaska - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S2. Summary statistics for natural gas - Alaska, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 269 277 185 R 159 170 Production (million cubic feet) Gross Withdrawals From Gas Wells 127,417 112,268

  12. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    2 Connecticut - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S7. Summary statistics for natural gas - Connecticut, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil

  13. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    6 District of Columbia - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S9. Summary statistics for natural gas - District of Columbia, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells

  14. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    0 Indiana - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S16. Summary statistics for natural gas - Indiana, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 620 914 819 R 921 895 Production (million cubic feet) Gross Withdrawals From Gas Wells 6,802 9,075

  15. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    2 Maryland - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S22. Summary statistics for natural gas - Maryland, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 7 8 9 7 7 Production (million cubic feet) Gross Withdrawals From Gas Wells 43 34 44 32 20 From Oil

  16. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    4 Massachusetts - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S23. Summary statistics for natural gas - Massachusetts, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0

  17. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    8 Minnesota - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S25. Summary statistics for natural gas - Minnesota, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil

  18. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    6 Nebraska - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S29. Summary statistics for natural gas - Nebraska, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 276 322 270 R 357 310 Production (million cubic feet) Gross Withdrawals From Gas Wells 2,092 1,854

  19. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    0 New Hampshire - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S31. Summary statistics for natural gas - New Hampshire, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0

  20. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    8 North Carolina - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S35. Summary statistics for natural gas - North Carolina, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0

  1. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    50 North Dakota - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S36. Summary statistics for natural gas - North Dakota, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 188 239 211 200 200 Production (million cubic feet) Gross Withdrawals From Gas Wells

  2. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    2 South Carolina - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S42. Summary statistics for natural gas - South Carolina, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0

  3. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    6 Washington - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S49. Summary statistics for natural gas - Washington, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil

  4. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    80 Wisconsin - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S51. Summary statistics for natural gas - Wisconsin, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil

  5. U.S. crude oil production expected to top 9 million barrels per day in December

    Gasoline and Diesel Fuel Update (EIA)

    3 2015 Falling crude prices to slow U.S. oil production growth in 2015 U.S. crude oil production is expected to increase again this year, but lower crude prices will slow the growth in output. In its new forecast, the U.S. Energy Information Administration said domestic crude oil production should average 9.3 million barrels per day in 2015. On-shore production in the Lower 48-states is expected to grow in the early part of the year, before declining in the second half. Production for the

  6. One Million Electric Vehicles By 2015

    SciTech Connect (OSTI)

    none,

    2011-02-01

    February 2011 status report on the steps needed to achieve President Obama's goal of putting one million electric vehicles on the road by 2015.

  7. " Million U.S. Housing Units"

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

    3 Lighting Usage Indicators by Number of Household Members, 2005" " Million U.S. Housing ... Members","5 or More Members" "Lighting Usage Indicators" "Total U.S. Housing ...

  8. " Million U.S. Housing Units"

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

    3 Lighting Usage Indicators by Type of Housing Unit, 2005" " Million U.S. Housing Units" ... in Buildings With--" "Lighting Usage Indicators",,"Detached","Attached"...

  9. One million curies of radioactive material recovered

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

    Radioactive material recovered One million curies of radioactive material recovered The accomplishment represents a major milestone in protecting our nation and the world from...

  10. ,"Texas Natural Gas Processed (Million Cubic Feet)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Processed (Million Cubic Feet)",1,"Annual",2014 ,"Release Date:","930...

  11. " Million U.S. Housing Units"

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

    8 Water Heating Characteristics by Number of Household Members, 2005" " Million U.S. ... Members","4 Members","5 or More Members" "Water Heating Characteristics" ...

  12. " Million U.S. Housing Units"

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

    8 Water Heating Characteristics by Year of Construction, 2005" " Million U.S. Housing ... to 1989","1990 to 1999","2000 to 2005" "Water Heating Characteristics" ...

  13. " Million U.S. Housing Units"

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

    8 Water Heating Characteristics by Type of Housing Unit, 2005" " Million U.S. Housing ... Units",,"Apartments in Buildings With--" "Water Heating Characteristics",,"Detached","Atta...

  14. " Million U.S. Housing Units,...

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

    ,"Total U.S.1 (millions)",,,..."Below Poverty Line2" "Structural and Geographic ... the number of households below the poverty line, the annual household income and ...

  15. $26.6 Million for Hydropower

    Broader source: Energy.gov [DOE]

    Today, the Department of Energy and the Department of Interior announced $26.6 million of available funding for companies and entrepreneurs looking to advance hydropower.

  16. Short-term energy outlook, January 1999

    SciTech Connect (OSTI)

    1999-01-01

    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.

  17. Short-term energy outlook, July 1998

    SciTech Connect (OSTI)

    1998-07-01

    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.

  18. Solar Forecasting Gets a Boost from Watson, Accuracy Improved...

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

    Solar Forecasting Gets a Boost from Watson, Accuracy Improved by 30% Solar Forecasting Gets a Boost from Watson, Accuracy Improved by 30% October 27, 2015 - 11:48am Addthis IBM ...

  19. A Review of Variable Generation Forecasting in the West: July...

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

    rely on an array of VG forecasts suited to different purposes. Some of the most common types of VG forecasts are defined below: 2 This report is available at no cost from the...

  20. PBL FY 2003 Second Quarter Review Forecast of Generation Accumulated...

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

    the rate period (i.e., FY 2002-2006), a forecast of that end-of-year Accumulated Net Revenue (ANR) will be completed. If the ANR at the end of the forecast year falls below the...

  1. Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical Modelling Approach

    SciTech Connect (OSTI)

    Brown, C. W.; Hood, Raleigh R.; Long, Wen; Jacobs, John M.; Ramers, D. L.; Wazniak, C.; Wiggert, J. D.; Wood, R.; Xu, J.

    2013-09-01

    The Chesapeake Bay Ecological Prediction System (CBEPS) automatically generates daily nowcasts and three-day forecasts of several environmental variables, such as sea-surface temperature and salinity, the concentrations of chlorophyll, nitrate, and dissolved oxygen, and the likelihood of encountering several noxious species, including harmful algal blooms and water-borne pathogens, for the purpose of monitoring the Bay's ecosystem. While the physical and biogeochemical variables are forecast mechanistically using the Regional Ocean Modeling System configured for the Chesapeake Bay, the species predictions are generated using a novel mechanistic empirical approach, whereby real-time output from the coupled physical biogeochemical model drives multivariate empirical habitat models of the target species. The predictions, in the form of digital images, are available via the World Wide Web to interested groups to guide recreational, management, and research activities. Though full validation of the integrated forecasts for all species is still a work in progress, we argue that the mechanistic–empirical approach can be used to generate a wide variety of short-term ecological forecasts, and that it can be applied in any marine system where sufficient data exist to develop empirical habitat models. This paper provides an overview of this system, its predictions, and the approach taken.

  2. U.S. monthly oil production tops 8 million barrels per day for the first time since 1988

    Gasoline and Diesel Fuel Update (EIA)

    EIA forecasts record 2.6 trillion cubic feet build in U.S. natural gas inventories With the winter heating season over, U.S. natural gas producers now turn to ramping up output to replenish natural gas inventories that fell to an 11-year low at the end of March. In its new short-term energy forecast, the U.S. Energy Information Administration expects a record 2.6 trillion cubic feet of natural gas to be injected into underground storage between now and November 1, when demand for gas for heating

  3. Issues in midterm analysis and forecasting, 1996

    SciTech Connect (OSTI)

    1996-08-01

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

  4. NREL: Resource Assessment and Forecasting - Capabilities

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

    Capabilities Best Practices Handbook Helps Industry Collect and Interpret Solar Resource Data Read about this new comprehensive resource for the solar industry. NREL's resource assessment and forecasting research staff provides expertise in renewable energy measurement and instrumentation. Major capabilities include solar resource measurement, instrument calibration, instrument characterization, solar monitoring training, and standards development and information dissemination. Solar Resource

  5. Issues in midterm analysis and forecasting 1998

    SciTech Connect (OSTI)

    1998-07-01

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

  6. Wind Power Forecasting Error Distributions over Multiple Timescales (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Milligan, M.

    2011-07-01

    This presentation presents some statistical analysis of wind power forecast errors and error distributions, with examples using ERCOT data.

  7. Wind power forecasting in U.S. electricity markets.

    SciTech Connect (OSTI)

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

    2010-04-01

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

  8. Wind power forecasting in U.S. Electricity markets

    SciTech Connect (OSTI)

    Botterud, Audun; Wang, Jianhui; Miranda, Vladimiro; Bessa, Ricardo J.

    2010-04-15

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

  9. Combined Heat And Power Installation Market Forecast | OpenEI...

    Open Energy Info (EERE)

    Combined Heat And Power Installation Market Forecast Home There are currently no posts in this category. Syndicate...

  10. DOE Taking Wind Forecasting to New Heights | Department of Energy

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

    Taking Wind Forecasting to New Heights DOE Taking Wind Forecasting to New Heights May 18, 2015 - 3:24pm Addthis A 2013 study conducted for the U.S. Department of Energy (DOE) by the National Oceanic and Atmospheric Administration (NOAA), AWS Truepower, and WindLogics in the Great Plains and Western Texas, demonstrated that wind power forecasts can be improved substantially using data collected from tall towers, remote sensors, and other devices, and incorporated into improved forecasting models

  11. Uncertainty Reduction in Power Generation Forecast Using Coupled

    Office of Scientific and Technical Information (OSTI)

    Wavelet-ARIMA (Conference) | SciTech Connect Conference: Uncertainty Reduction in Power Generation Forecast Using Coupled Wavelet-ARIMA Citation Details In-Document Search Title: Uncertainty Reduction in Power Generation Forecast Using Coupled Wavelet-ARIMA In this paper, we introduce a new approach without implying normal distributions and stationarity of power generation forecast errors. In addition, it is desired to more accurately quantify the forecast uncertainty by reducing prediction

  12. ANL Software Improves Wind Power Forecasting | Department of Energy

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

    ANL Software Improves Wind Power Forecasting ANL Software Improves Wind Power Forecasting May 1, 2012 - 3:19pm Addthis This is an excerpt from the Second Quarter 2012 edition of the Wind Program R&D Newsletter. Since 2008, Argonne National Laboratory and INESC TEC (formerly INESC Porto) have conducted a research project to improve wind power forecasting and better use of forecasting in electricity markets. One of the main results from the project is ARGUS PRIMA (PRediction Intelligent

  13. Today's Forecast: Improved Wind Predictions | Department of Energy

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

    Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions July 20, 2011 - 6:30pm Addthis Stan Calvert Wind Systems Integration Team Lead, Wind & Water Power Program What does this project do? It will increase the accuracy of weather forecast models for predicting substantial changes in winds at heights important for wind energy up to six hours in advance, allowing grid operators to predict expected wind power production. Accurate weather forecasts are critical

  14. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    0 Alabama - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S1. Summary statistics for natural gas - Alabama, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 7,026 7,063 6,327 R 6,165 6,118 Production (million cubic feet) Gross Withdrawals From Gas Wells

  15. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    6 Arkansas - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S4. Summary statistics for natural gas - Arkansas, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 7,397 8,388 8,538 R 9,843 10,150 Production (million cubic feet) Gross Withdrawals From Gas Wells

  16. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    8 California - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S5. Summary statistics for natural gas - California, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 1,580 1,308 1,423 R 1,335 1,118 Production (million cubic feet) Gross Withdrawals From Gas

  17. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    0 Colorado - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S6. Summary statistics for natural gas - Colorado, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 28,813 30,101 32,000 R 32,468 38,346 Production (million cubic feet) Gross Withdrawals From Gas

  18. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    8 Florida - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S10. Summary statistics for natural gas - Florida, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 17,182 16,459 19,742

  19. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    0 Georgia - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S11. Summary statistics for natural gas - Georgia, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells

  20. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    8 Illinois - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S15. Summary statistics for natural gas - Illinois, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 50 40 40 R 34 36 Production (million cubic feet) Gross Withdrawals From Gas Wells E 1,697 2,114

  1. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    2 Iowa - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S17. Summary statistics for natural gas - Iowa, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0 0

  2. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    4 Kansas - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S18. Summary statistics for natural gas - Kansas, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 22,145 25,758 24,697 R 23,792 24,354 Production (million cubic feet) Gross Withdrawals From Gas Wells

  3. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    6 Kentucky - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S19. Summary statistics for natural gas - Kentucky, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 17,670 14,632 17,936 R 19,494 19,256 Production (million cubic feet) Gross Withdrawals From Gas

  4. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    8 Louisiana - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S20. Summary statistics for natural gas - Louisiana, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 19,137 21,235 19,792 R 19,528 19,251 Production (million cubic feet) Gross Withdrawals From Gas

  5. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    0 Maine - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S21. Summary statistics for natural gas - Maine, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells 0 0

  6. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    6 Michigan - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S24. Summary statistics for natural gas - Michigan, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 10,100 11,100 10,900 R 10,550 10,500 Production (million cubic feet) Gross Withdrawals From Gas

  7. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    0 Mississippi - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S26. Summary statistics for natural gas - Mississippi, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 1,979 5,732 1,669 R 1,967 1,645 Production (million cubic feet) Gross Withdrawals From Gas

  8. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    2 Missouri - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S27. Summary statistics for natural gas - Missouri, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 53 100 R 26 28 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 R 8 8 From

  9. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    4 Montana - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S28. Summary statistics for natural gas - Montana, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 6,059 6,477 6,240 5,754 5,754 Production (million cubic feet) Gross Withdrawals From Gas Wells

  10. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    8 Nevada - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S30. Summary statistics for natural gas - Nevada, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 R 4 4 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 3 From Oil Wells

  11. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    2 New Jersey - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S32. Summary statistics for natural gas - New Jersey, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil

  12. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    4 New Mexico - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S33. Summary statistics for natural gas - New Mexico, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 44,748 32,302 28,206 R 27,073 27,957 Production (million cubic feet) Gross Withdrawals From

  13. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    6 New York - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S34. Summary statistics for natural gas - New York, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 6,736 6,157 7,176 R 6,902 7,119 Production (million cubic feet) Gross Withdrawals From Gas Wells

  14. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    2 Ohio - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S37. Summary statistics for natural gas - Ohio, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 34,931 46,717 35,104 R 32,664 32,967 Production (million cubic feet) Gross Withdrawals From Gas Wells

  15. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    4 Oklahoma - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S38. Summary statistics for natural gas - Oklahoma, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 44,000 41,238 40,000 39,776 40,070 Production (million cubic feet) Gross Withdrawals From Gas

  16. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    6 Oregon - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S39. Summary statistics for natural gas - Oregon, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 26 24 27 R 26 28 Production (million cubic feet) Gross Withdrawals From Gas Wells 1,407 1,344 770 770

  17. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    8 Pennsylvania - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S40. Summary statistics for natural gas - Pennsylvania, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 44,500 54,347 55,136 R 53,762 70,400 Production (million cubic feet) Gross Withdrawals

  18. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    0 Rhode Island - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S41. Summary statistics for natural gas - Rhode Island, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From

  19. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    6 Tennessee - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S44. Summary statistics for natural gas - Tennessee, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 230 210 212 R 1,089 1,024 Production (million cubic feet) Gross Withdrawals From Gas Wells 5,144

  20. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    8 Texas - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S45. Summary statistics for natural gas - Texas, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 95,014 100,966 96,617 97,618 98,279 Production (million cubic feet) Gross Withdrawals From Gas Wells

  1. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    0 Utah - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S46. Summary statistics for natural gas - Utah, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 6,075 6,469 6,900 R 7,030 7,275 Production (million cubic feet) Gross Withdrawals From Gas Wells 328,135

  2. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    2 Vermont - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S47. Summary statistics for natural gas - Vermont, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 0 0 0 0 0 Production (million cubic feet) Gross Withdrawals From Gas Wells 0 0 0 0 0 From Oil Wells

  3. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    4 Virginia - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S48. Summary statistics for natural gas - Virginia, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 7,470 7,903 7,843 R 7,956 7,961 Production (million cubic feet) Gross Withdrawals From Gas Wells

  4. Million Cu. Feet Percent of National Total

    Gasoline and Diesel Fuel Update (EIA)

    8 West Virginia - Natural Gas 2014 Million Cu. Feet Percent of National Total Million Cu. Feet Percent of National Total Total Net Movements: - Industrial: Dry Production: Vehicle Fuel: Deliveries to Consumers: Residential: Electric Power: Commercial: Total Delivered: Table S50. Summary statistics for natural gas - West Virginia, 2010-2014 2010 2011 2012 2013 2014 Number of Producing Gas Wells at End of Year 52,498 56,813 50,700 R 54,920 60,000 Production (million cubic feet) Gross Withdrawals

  5. Validation of a 20-year forecast of US childhood lead poisoning: Updated prospects for 2010

    SciTech Connect (OSTI)

    Jacobs, David E. . E-mail: dejacobs@starpower.net; Nevin, Rick

    2006-11-15

    We forecast childhood lead poisoning and residential lead paint hazard prevalence for 1990-2010, based on a previously unvalidated model that combines national blood lead data with three different housing data sets. The housing data sets, which describe trends in housing demolition, rehabilitation, window replacement, and lead paint, are the American Housing Survey, the Residential Energy Consumption Survey, and the National Lead Paint Survey. Blood lead data are principally from the National Health and Nutrition Examination Survey. New data now make it possible to validate the midpoint of the forecast time period. For the year 2000, the model predicted 23.3 million pre-1960 housing units with lead paint hazards, compared to an empirical HUD estimate of 20.6 million units. Further, the model predicted 498,000 children with elevated blood lead levels (EBL) in 2000, compared to a CDC empirical estimate of 434,000. The model predictions were well within 95% confidence intervals of empirical estimates for both residential lead paint hazard and blood lead outcome measures. The model shows that window replacement explains a large part of the dramatic reduction in lead poisoning that occurred from 1990 to 2000. Here, the construction of the model is described and updated through 2010 using new data. Further declines in childhood lead poisoning are achievable, but the goal of eliminating children's blood lead levels {>=}10 {mu}g/dL by 2010 is unlikely to be achieved without additional action. A window replacement policy will yield multiple benefits of lead poisoning prevention, increased home energy efficiency, decreased power plant emissions, improved housing affordability, and other previously unrecognized benefits. Finally, combining housing and health data could be applied to forecasting other housing-related diseases and injuries.

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

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B. M.

    2014-04-01

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

  7. President Obama Announces $400 Million Conditional Commitment...

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

    to Abound Solar Manufacturing, LLC to manufacture state-of-the-art thin-film solar panels. ... Department of Energy Closes 400 Million Loan Guarantee for State of the Art Solar ...

  8. " Million U.S. Housing Units" ,,"2005...

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

    3 Lighting Usage Indicators by Household Income, 2005" " Million U.S. Housing Units" ... to 79,999","80,000 or More" "Lighting Usage Indicators" "Total U.S. Housing ...

  9. " Million U.S. Housing Units"

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

    3 Lighting Usage Indicators by Climate Zone, 2005" " Million U.S. Housing Units" ... to 5,499 HDD","Less than 4,000 HDD" "Lighting Usage Indicators" "Total",111.1,10.9,26....

  10. " Million U.S. Housing Units"

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

    3 Lighting Usage Indicators by Year of Construction, 2005" " Million U.S. Housing Units" ... to 1989","1990 to 1999","2000 to 2005" "Lighting Usage Indicators" "Total U.S. Housing ...

  11. " Million U.S. Housing Units"

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

    8 Water Heating Characteristics by Climate Zone, 2005" " Million U.S. Housing Units" ... to 5,499 HDD","Less than 4,000 HDD" "Water Heating Characteristics" ...

  12. " Million Housing Units, Final"

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

    2 Appliances in U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,"Total U.S.1 (millions)",,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes"

  13. " Million Housing Units, Final"

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

    8 Home Appliances in Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census Division",,,"Middle Atlantic Census Division" ,"Total U.S.1 (millions)",,"Total New England",,,"Total Middle Atlantic" ,,"Total Northeast",,,"CT, ME, NH, RI, VT" "Home

  14. " Million Housing Units, Final"

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

    8 Household Demographics of Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census Division",,,"Middle Atlantic Census Division" ,"Total U.S.1 (millions)",,"Total New England",,,"Total Middle Atlantic" ,,"Total Northeast",,,"CT, ME, NH, RI, VT" "Household

  15. Lab contractor awards LANL Foundation $3 million

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

    Contractor awards LANL Foundation $3 million Lab contractor awards LANL Foundation $3 million To provide educational enrichment and educational outreach funding for a wide variety of education programs in the seven Northern New Mexico counties. October 29, 2008 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma

  16. Indiana Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Indiana Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 191 102 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Natural Gas Processed

  17. Million U.S. Housing Units Total............................................................................

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

    Attached 2 to 4 Units Table HC2.12 Home Electronics Usage Indicators by Type of Housing Unit, 2005 5 or More Units Mobile Homes Type of Housing Unit Housing Units (millions) Single-Family Units Apartments in Buildings With-- Home Electronics Usage Indicators Detached Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing Units Attached 2 to 4 Units Table HC2.12 Home Electronics Usage Indicators by Type of

  18. The impact of forecasted energy price increases on low-income consumers

    SciTech Connect (OSTI)

    Eisenberg, Joel F.

    2005-10-31

    The Department of Energy’s Energy Information Administration (EIA) recently released its short term forecast for residential energy prices for the winter of 2005-2006. The forecast indicates significant increases in fuel costs, particularly for natural gas, propane, and home heating oil, for the year ahead. In the following analysis, the Oak Ridge National Laboratory has integrated the EIA price projections with the Residential Energy Consumption Survey (RECS) for 2001 in order to project the impact of these price increases on the nation’s low-income households by primary heating fuel type, nationally and by Census Region. The statistics are intended for the use of policymakers in the Department of Energy’s Weatherization Assistance Program and elsewhere who are trying to gauge the nature and severity of the problems that will be faced by eligible low-income households during the 2006 fiscal year.

  19. Forecasting hotspots using predictive visual analytics approach

    DOE Patents [OSTI]

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

    2014-12-30

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

  20. U.S. gasoline prices at its lowest since February 2011 (short version)

    Gasoline and Diesel Fuel Update (EIA)

    U.S. crude oil output exceeds crude oil imports Estimated U.S. crude oil production in October surpassed U.S. crude oil imports on a monthly basis for the first time since February 1995. Domestic crude oil output averaged 7.7 million barrels per day in October... the highest production for any October in 25 years while ... U.S. crude oil imports were 7.6 million barrels per day last month according to the new monthly forecast from the U.S. Energy Information Administration. . Crude oil

  1. Global disease monitoring and forecasting with Wikipedia

    SciTech Connect (OSTI)

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

    2014-11-13

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

  2. Global disease monitoring and forecasting with Wikipedia

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

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

    2014-11-13

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

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

    SciTech Connect (OSTI)

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

    2015-08-05

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

  4. Short-term energy outlook, April 1999

    SciTech Connect (OSTI)

    1999-04-01

    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.

  5. DOE Awards $63 Million to Advance Clean Energy Commercialization |

    Office of Environmental Management (EM)

    Department of Energy 63 Million to Advance Clean Energy Commercialization DOE Awards $63 Million to Advance Clean Energy Commercialization September 22, 2010 - 11:00am Addthis DOE announced on September 15 its award of more than $63 million to support the commercialization of clean energy technologies, including $57 million for small businesses and $5.3 million for universities. The awards to small businesses include nearly $11 million provided through the American Recovery and Reinvestment

  6. Energy Department Announces $12 Million for Technologies to Produce...

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

    Announces 12 Million for Technologies to Produce Renewable Carbon Fiber from Biomass Energy Department Announces 12 Million for Technologies to Produce Renewable Carbon Fiber ...

  7. Energy Department Invests $20 Million to Advance Hydrogen Production...

    Office of Environmental Management (EM)

    20 Million to Advance Hydrogen Production and Delivery Technologies Energy Department Invests 20 Million ... materials that can produce hydrogen from water using solar energy. ...

  8. Department of Energy Awards More Than $175 Million for Advanced...

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

    75 Million for Advanced Vehicle Research and Development Department of Energy Awards More Than 175 Million for ... lubricants, lighter weight materials, longer-lasting and cheaper ...

  9. Two small businesses selected for work valued at $80 million

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

    Businesses compete for drilling, monitoring work Two small businesses selected for work valued at 80 million Two small businesses compete for up to 80 million in well drilling ...

  10. Montana Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Montana Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  11. Energy Secretary Chu Announces Five Million Smart Meters Installed...

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

    Five Million Smart Meters Installed Nationwide as Part of Grid Modernization Effort Energy Secretary Chu Announces Five Million Smart Meters Installed Nationwide as Part of Grid...

  12. Energy Department Announces $13 Million to Strengthen Local Solar...

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

    Million to Strengthen Local Solar Markets and Spur Solar Deployment Across the United States Energy Department Announces 13 Million to Strengthen Local Solar Markets and Spur...

  13. Department of Energy Announces $188 Million for Small Business...

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

    188 Million for Small Business Technology Commercialization Department of Energy Announces 188 Million for Small Business Technology Commercialization August 2, 2010 - 12:00am ...

  14. Energy Secretary Bodman Announces $119 Million in Funding and...

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

    Million in Funding and Roadmap to Advance Hydrogen Fuel Cell Vehicles Energy Secretary Bodman Announces 119 Million in Funding and Roadmap to Advance Hydrogen Fuel Cell Vehicles ...

  15. Obama Administration Announces $12 Million i6 Green Investment...

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

    2 Million i6 Green Investment to Promote Clean Energy Innovation and Job Creation Obama Administration Announces 12 Million i6 Green Investment to Promote Clean Energy Innovation ...

  16. Secretary Chu Announces $45 Million to Support Next Generation...

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

    Secretary Chu Announces 45 Million to Support Next Generation of Wind Turbine Designs Secretary Chu Announces 45 Million to Support Next Generation of Wind Turbine Designs...

  17. Energy Department Offers $50 Million to Advance Fuel Efficient...

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

    Moniz Announces Nearly 50 Million to Advance High-Tech, Fuel Efficient American Autos Energy Department Invests More Than 55 Million to Advance Efficient Vehicle...

  18. Small Business Innovation Research Announces $1.15 Million to...

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

    Small Business Innovation Research Announces 1.15 Million to Expand Under-Utilized Geothermal Markets Small Business Innovation Research Announces 1.15 Million to Expand ...

  19. Obama Administration Awards More than $96 Million for State Energy...

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

    96 Million for State Energy Programs in Ohio, Oregon, Virginia and West Virginia Obama Administration Awards More than 96 Million for State Energy Programs in Ohio, Oregon, ...

  20. Energy Department Announces $3 Million for Industry Access to...

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

    3 Million for Industry Access to High Performance Computing Energy Department Announces 3 Million for Industry Access to High Performance Computing March 17, 2016 - 2:00pm ...

  1. Department of Energy Awards $15 Million for Nuclear Fuel Cycle...

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

    Million for Nuclear Fuel Cycle Technology Research and Development Department of Energy Awards 15 Million for Nuclear Fuel Cycle Technology Research and Development August 1,...

  2. Energy Department Announces $10 Million for Innovative Commercial...

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

    Energy Department Announces 10 Million for Innovative Commercial Building Technologies and Unveils New Commercial Buildings 101 Video Energy Department Announces 10 Million for...

  3. Department of Energy Finalizes Partial Guarantee for $852 Million...

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

    Partial Guarantee for 852 Million Loan to Support California Concentrating Solar Power Plant Department of Energy Finalizes Partial Guarantee for 852 Million Loan to Support...

  4. DOE Announces Over $30 Million to Help Universities Train the...

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

    DOE Announces Over 30 Million to Help Universities Train the Next Generation of Industrial Energy Efficiency Experts DOE Announces Over 30 Million to Help Universities Train the...

  5. Energy Department, Treasury Announce Availability of $150 Million...

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

    Department, Treasury Announce Availability of 150 Million in Tax Credits for Clean Energy Manufacturers Energy Department, Treasury Announce Availability of 150 Million in Tax...

  6. Department of Energy Awards Nearly $7 Million to Advance Fuel...

    Energy Savers [EERE]

    Department of Energy Awards Nearly 7 Million to Advance Fuel Cell and Hydrogen Storage Systems Research Department of Energy Awards Nearly 7 Million to Advance Fuel Cell and...

  7. Energy Secretary Bodman Announces $119 Million in Funding and...

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

    Secretary Bodman Announces 119 Million in Funding and Roadmap to Advance Hydrogen Fuel Cell Vehicles Energy Secretary Bodman Announces 119 Million in Funding and Roadmap to...

  8. Energy Department Announces $2 Million to Support Manufacturing...

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

    2 Million to Support Manufacturing of Taller Wind Turbine Towers Energy Department Announces 2 Million to Support Manufacturing of Taller Wind Turbine Towers September 17, 2014 - ...

  9. Department of Energy Announces $15 Million to Promote Innovative...

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

    15 Million to Promote Innovative Geothermal Heat Recovery Methods and Technologies Department of Energy Announces 15 Million to Promote Innovative Geothermal Heat Recovery...

  10. $3 million approved for 2015 LANS Community Commitment Plan

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

    LANS Community Commitment Plan will provide 1 million for education, including science, technology, engineering and math (STEM) education programs 1 million for economic...

  11. Kansas Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Kansas Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  12. Department Of Energy Offers $60 Million to Spur Industry Engagement...

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

    Of Energy Offers 60 Million to Spur Industry Engagement in Global Nuclear Energy Partnership Department Of Energy Offers 60 Million to Spur Industry Engagement in Global Nuclear...

  13. Indiana Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Indiana Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  14. Oregon Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Oregon Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  15. Arkansas Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Arkansas Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  16. Alaska Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Alaska Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  17. Oklahoma Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Oklahoma Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  18. Nebraska Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Nebraska Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  19. Michigan Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Michigan Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  20. Minnesota Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Minnesota Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  1. Utah Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Utah Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  2. Missouri Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Missouri Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  3. Virginia Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Virginia Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  4. Maryland Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Maryland Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  5. Wyoming Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Wyoming Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  6. Ohio Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Ohio Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  7. Illinois Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Illinois Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  8. Iowa Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Iowa Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  9. Kentucky Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Kentucky Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  10. Texas Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Texas Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  11. Louisiana Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Louisiana Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  12. Alabama Working Natural Gas Underground Storage Capacity (Million...

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

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Alabama Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul...

  13. Secretary Chu Announces $93 Million from Recovery Act to Support...

    Energy Savers [EERE]

    Secretary Chu Announces 93 Million from Recovery Act to Support Wind Energy Projects Secretary Chu Announces 93 Million from Recovery Act to Support Wind Energy Projects April ...

  14. DOE Awards $63 Million to Advance Clean Energy Commercialization...

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

    Awards 63 Million to Advance Clean Energy Commercialization DOE Awards 63 Million to ... grids, three for next-generation nuclear power, and three for cleaner fossil energy. ...

  15. Energy Department Invests $20 Million to Advance Hydrogen Production...

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

    Department Invests 20 Million to Advance Hydrogen Production and Delivery Technologies Energy Department Invests 20 Million to Advance Hydrogen Production and Delivery...

  16. Energy Secretary Announces $170 Million Solicitation for Solar...

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

    70 Million Solicitation for Solar Energy Technologies Energy Secretary Announces 170 Million Solicitation for Solar Energy Technologies June 28, 2006 - 2:36pm Addthis Key Element ...

  17. Energy Department Finalizes $737 Million Loan Guarantee to Tonopah...

    Office of Environmental Management (EM)

    737 Million Loan Guarantee to Tonopah Solar Energy for Nevada Project Energy Department Finalizes 737 Million Loan Guarantee to Tonopah Solar Energy for Nevada Project September ...

  18. Energy Department Announces $18 Million to Develop Solar Energy...

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

    18 Million to Develop Solar Energy Storage Solutions, Boost Grid Resiliency Energy Department Announces 18 Million to Develop Solar Energy Storage Solutions, Boost Grid Resiliency ...

  19. Energy Department Announces $15 Million to Integrate Affordable...

    Office of Environmental Management (EM)

    5 Million to Integrate Affordable Solar Energy into Nation's Electrical Grid Energy Department Announces 15 Million to Integrate Affordable Solar Energy into Nation's Electrical ...

  20. Interior Department to Open 190 Million Acres to Geothermal Power...

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

    Interior Department to Open 190 Million Acres to Geothermal Power Interior Department to Open 190 Million Acres to Geothermal Power October 29, 2008 - 3:56pm Addthis ...

  1. Departments of Energy and Interior Award Nearly $17 Million for...

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

    Award Nearly 17 Million for Advanced Hydropower Technologies Departments of Energy and Interior Award Nearly 17 Million for Advanced Hydropower Technologies September 6, 2011 - ...

  2. New York Working Natural Gas Underground Storage Capacity (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Natural Gas Underground Storage Capacity (Million Cubic Feet) New York Working Natural Gas Underground Storage Capacity (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  3. Energy Department Announces $70 Million for Innovation Institute...

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

    70 Million for Innovation Institute on Smart Manufacturing Energy Department Announces 70 Million for Innovation Institute on Smart Manufacturing September 16, 2015 - 8:36am...

  4. Secretary Chu Announces $30 Million for Research Competition...

    Office of Environmental Management (EM)

    0 Million for Research Competition to Develop Next Generation Energy Storage Technologies Secretary Chu Announces 30 Million for Research Competition to Develop Next Generation ...

  5. Short-Term Energy Outlook Model Documentation: Other Petroleum Products Consumption Model

    Reports and Publications (EIA)

    2011-01-01

    The other petroleum product consumption module of the Short-Term Energy Outlook (STEO) model is designed to provide U.S. consumption forecasts for 6 petroleum product categories: asphalt and road oil, petrochemical feedstocks, petroleum coke, refinery still gas, unfinished oils, and other miscvellaneous products

  6. Short-Term Energy Outlook Model Documentation: Petroleum Products Supply Module

    Reports and Publications (EIA)

    2013-01-01

    The Petroleum Products Supply Module of the Short-Term Energy Outlook (STEO) model provides forecasts of petroleum refinery inputs (crude oil, unfinished oils, pentanes plus, liquefied petroleum gas, motor gasoline blending components, and aviation gasoline blending components) and refinery outputs (motor gasoline, jet fuel, distillate fuel, residual fuel, liquefied petroleum gas, and other petroleum products).

  7. Changes in Natural Gas Monthly Consumption Data Collection and the Short-Term Energy Outlook

    Reports and Publications (EIA)

    2010-01-01

    Beginning with the December 2010 issue of the Short-Term Energy Outlook (STEO), the Energy Information Administration (EIA) will present natural gas consumption forecasts for the residential and commercial sectors that are consistent with recent changes to the Form EIA-857 monthly natural gas survey.

  8. A Million Meter Milestone | Department of Energy

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

    A Million Meter Milestone A Million Meter Milestone March 4, 2011 - 2:36pm Addthis To see what installing the 1 millionth meter looked like, check out this video. Don Macdonald Don Macdonald Senior Advisor for Strategic Projects What does this mean for me? Smart meters allow consumers to take personal control and ownership of her energy usage in a way not possible before. As program manager for the Department of Energy's Recovery Act funded Smart Grid Investment Grant (SGIG) program, I've had

  9. Arizona Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Repressuring (Million Cubic Feet) Arizona Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 103 1990's - 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Natural Gas Used for Repressuring Arizona Natural Gas Gross Withdrawals

  10. " Million Housing Units, Final"

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

    0 Structural and Geographic Characteristics of Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East South Central Census Division",,,"West South Central Census Division" ,,,,,,,,,"Total East South Central",,,"Total West South Central" ,"Total U.S.1 (millions)",,"Total South Atlantic" "Structural

  11. " Million Housing Units, Final"

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

    1 Structural and Geographic Characteristics of Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,,,,,"Pacific Census Division" ,,,,"Mountain North Sub-Division",,,"Mountain South Sub-Division" ,"Total U.S.1 (millions)",,,"Total Mountain North",,,"Total Mountain South" "Structural and Geographic

  12. " Million Housing Units, Final"

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

    1 Appliances in Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,,,,,"Pacific Census Division" ,,,,"Mountain North Sub-Division",,,"Mountain South Sub-Division" ,"Total U.S.1 (millions)",,,"Total Mountain North",,,"Total Mountain South" ,,"Total West","Total Mountain",,,"ID, MT, UT,

  13. " Million Housing Units, Final"

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

    0 Appliances in Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East South Central Census Division",,,"West South Central Census Division" ,,,,,,,,,"Total East South Central",,,"Total West South Central" ,"Total U.S.1 (millions)",,"Total South Atlantic" ,,"Total South",,,,,"DC, DE, MD,

  14. " Million Housing Units, Final"

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

    2 Structural and Geographic Characteristics of U.S. Homes, by Owner/Renter Status, 2009" " Million Housing Units, Final" ,,,,"Housing Unit Type" ,,,,"Single-Family Units",,,,"Apartments in Buildings With" ,,,,"Detached",,"Attached",,"2 to 4 Units",,"5 or More Units",,"Mobile Homes" ,"Total U.S.1 (millions)" "Structural and Geographic

  15. " Million Housing Units, Final"

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

    4 Structural and Geographic Characteristics of U.S. Homes, by Number of Household Members, 2009" " Million Housing Units, Final" ,,"Number of Household Members" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,,,,,"5 or More Members" ,,"1 Member","2 Members","3 Members","4 Members" "Total Homes",113.6,31.3,35.8,18.1,15.7,12.7 "Census Region and Division"

  16. " Million Housing Units, Final"

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

    8 Structural and Geographic Characteristics of Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census Division",,,"Middle Atlantic Census Division" ,"Total U.S.1 (millions)",,"Total New England",,,"Total Middle Atlantic" "Structural and Geographic Characteristics",,"Total Northeast",,,"CT, ME, NH, RI, VT"

  17. " Million Housing Units, Final"

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

    9 Structural and Geographic Characteristics of Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census Division",,,,,"West North Central Census Division" ,,,"Total East North Central",,,,,"Total West North Central" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,"Total Midwest",,,,," IN,

  18. " Million Housing Units, Final"

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

    Appliances in U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" ,,,,,"5 or More Units","Mobile Homes" "Appliances",,"Detached","Attached","2 to 4 Units" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Cooking Appliances" "Stoves (Units With

  19. " Million Housing Units, Final"

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

    9 Appliances in Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census Division",,,,,"West North Central Census Division" ,,,"Total East North Central",,,,,"Total West North Central" ,"Total U.S.1 (millions)" ,,"Total Midwest",,,,," IN, OH",,,"IA, MN, ND, SD"

  20. " Million Housing Units, Final"

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

    3 Structural and Geographic Characteristics of U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Total

  1. " Million Housing Units, Final"

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

    6 Structural and Geographic Characteristics of U.S. Homes, by Climate Region, 2009" " Million Housing Units, Final" ,,"Climate Region2" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,"Very Cold/","Mixed- Humid","Mixed-Dry/" ,,"Cold",,"Hot-Dry","Hot-Humid","Marine" "Total Homes",113.6,38.8,35.4,14.1,19.1,6.3 "Census Region and Division"

  2. " Million Housing Units, Final"

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

    7 Structural and Geographic Characteristics of U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" "Structural and Geographic Characteristics",,"Northeast","Midwest","South","West" "Total Homes",113.6,20.8,25.9,42.1,24.8 "Urban and Rural2" "Urban",88.1,18,19.9,28.6,21.5 "Rural",25.5,2.8,6,13.4,3.3

  3. " Million Housing Units, Final"

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

    4 Appliances in U.S. Homes, by Number of Household Members, 2009" " Million Housing Units, Final" ,,"Number of Household Members" ,"Total U.S.1 (millions)" ,,,,,,"5 or More Members" "Appliances",,"1 Member","2 Members","3 Members","4 Members" "Total Homes",113.6,31.3,35.8,18.1,15.7,12.7 "Cooking Appliances" "Stoves (Units With Both" "an Oven and a Cooktop)"

  4. " Million Housing Units, Final"

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

    6 Appliances in U.S. Homes, by Climate Region, 2009" " Million Housing Units, Final" ,,"Climate Region2" ,"Total U.S.1 (millions)" ,,"Very Cold/","Mixed- Humid","Mixed-Dry/" "Appliances",,"Cold",,"Hot-Dry","Hot-Humid","Marine" "Total Homes",113.6,38.8,35.4,14.1,19.1,6.3 "Cooking Appliances" "Stoves (Units With Both" "an Oven and a Cooktop)"

  5. " Million Housing Units, Final"

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

    7 Appliances in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,"Total U.S.1 (millions)","Census Region" "Appliances",,"Northeast","Midwest","South","West" "Total Homes",113.6,20.8,25.9,42.1,24.8 "Cooking Appliances" "Stoves (Units With Both" "an Oven and a Cooktop)" "Use a Stove",102.3,19.2,23.9,38.2,20.9

  6. " Million Housing Units, Final"

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

    Air Conditioning in U.S. Homes, by Housing Unit Type, 2009" " Million Housing Units, Final" ,,"Housing Unit Type" ,,"Single-Family Units",,"Apartments in Buildings With" ,"Total U.S.1 (millions)" ,," Detached"," Attached"," 2 to 4 Units","5 or More Units","Mobile Homes" "Air Conditioning" "Total Homes",113.6,71.8,6.7,9,19.1,6.9 "Air Conditioning Equipment"

  7. Tennessee Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Tennessee Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 11 1990's 19 26 0 0 0 0 0 0 2010's 6,146 6,200 6,304 5,721 5,000 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Natural Gas Processed Tennessee Natural Gas Plant Processing Natural Gas

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

    SciTech Connect (OSTI)

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

    2013-10-01

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

  9. Upcoming Funding Opportunity for Wind Forecasting Improvement Project in

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

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

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

    Energy Savers [EERE]

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

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

    Office of Environmental Management (EM)

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

  12. U.S. monthly oil production tops 8 million barrels per day for the first time since 1988

    Gasoline and Diesel Fuel Update (EIA)

    Residential electricity consumption this summer expected to be higher than last year Electricity use among U.S. households is expected to be about 1 percent higher this summer compared to last year. In its new short-term energy forecast, the U.S. Energy Information Administration says a nearly 6% increase in cooling degree days expected this summer will be slightly offset by more efficient air conditioning, lighting, and other appliances that use less electricity. The 1 percent rise in summer

  13. NREL: Resource Assessment and Forecasting - Webmaster

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

    Webmaster Use this form to send us your comments and questions, report problems with the site, or ask for help finding information on the site. Please enter your name and email address in the boxes provided, then type your message below. When you are finished, click "Send Message." NOTE: If you enter your e-mail address incorrectly, we will be unable to reply. Your name: Your email address: Your message: Send Message Printable Version Resource Assessment & Forecasting Home

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

    SciTech Connect (OSTI)

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

    2015-12-08

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

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

    SciTech Connect (OSTI)

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

    2012-09-01

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

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

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

    Opportunity, DOE is funding solar projects that are helping utilities, grid operators, solar power plant owners, and other stakeholders better forecast when, where, and how much...

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

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

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

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

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

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

  19. Roel Neggers European Centre for Medium-range Weather Forecasts

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

    transition from shallow to deep convection using a dual mass flux boundary layer scheme Roel Neggers European Centre for Medium-range Weather Forecasts Introduction " " % % &...

  20. Team Surpasses 1 Million Hours Safety Milestone

    Broader source: Energy.gov [DOE]

    NISKAYUNA, N.Y. – Vigilance and dedication to safety led the EM program’s disposition project team at the Separations Process Research Unit (SPRU) to achieve a milestone of one million hours — over two-and-a-half-years — without injury or illness resulting in time away from work.

  1. Short-Pulse Lasers

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

    Short-Pulse Lasers NIF Petawatt Laser Is on Track to Completion The National Ignition Facility's Advanced Radiographic Capability (ARC), a petawatt-class laser with peak power exceeding a quadrillion (1015) watts, is moving rapidly along the path to completion and commissioning. ARC is designed to produce brighter, more penetrating, higher-energy x rays than can be obtained with conventional radiographic techniques. When complete, ARC will be the world's highest-energy short-pulse laser, capable

  2. Energy Department Announces $21 Million to Lower Solar Energy Deployment

    Energy Savers [EERE]

    Barriers | Department of Energy 1 Million to Lower Solar Energy Deployment Barriers Energy Department Announces $21 Million to Lower Solar Energy Deployment Barriers February 8, 2016 - 8:30am Addthis Energy Department Announces $21 Million to Lower Solar Energy Deployment Barriers The U.S. Department of Energy today announced $21 million in new funding to lower solar energy deployment barriers and expand access to solar energy to all Americans. The Department is making $13 million available

  3. IG Investigation with DOJ Results in over $10million Settlement |

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

    Department of Energy IG Investigation with DOJ Results in over $10million Settlement IG Investigation with DOJ Results in over $10million Settlement PDF icon IG Investigation with DOJ Results in Over $10million Settlement More Documents & Publications Savannah River Site Contractor Agrees to Pay $3.8 Million to Settle False Claims Act Allegations Semiannual Report to Congress: April 1, 2015 - September 30, 2015 Sandia Corporation Agrees to Pay $4.7 Million to Resolve Allegations Related

  4. U.S. Energy Information Administration | Short-Term Energy Outlook January 2016 1

    Gasoline and Diesel Fuel Update (EIA)

    (STEO) Highlights ï‚· This edition of the Short-Term Energy Outlook is the first to include forecasts for 2017. ï‚· North Sea Brent crude oil prices averaged $38/barrel (b) in December, a $6/b decrease from November, and the lowest monthly average price since June 2004. Brent crude oil prices averaged $52/b in 2015, down $47/b from the average in 2014, as growth in global liquids inventories put downward pressure on Brent prices throughout much of the year. ï‚· Forecast Brent crude oil prices

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

    SciTech Connect (OSTI)

    1997-10-14

    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.

  6. Tennessee Natural Gas Repressuring (Million Cubic Feet)

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

    Repressuring (Million Cubic Feet) Tennessee Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 146 436 897 538 1980's 0 0 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages:

  7. Ohio Natural Gas Repressuring (Million Cubic Feet)

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

    Repressuring (Million Cubic Feet) Ohio Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 1,808 850 889 0 1,141 1,234 1980's 0 0 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages:

  8. Oklahoma Natural Gas Repressuring (Million Cubic Feet)

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

    Repressuring (Million Cubic Feet) Oklahoma Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 81,755 86,285 87,196 1970's 86,432 85,027 82,265 82,396 83,488 83,486 85,479 89,365 91,342 96,366 1980's 101,198 2000's 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  9. Pennsylvania Natural Gas Repressuring (Million Cubic Feet)

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

    Repressuring (Million Cubic Feet) Pennsylvania Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 375 320 312 1970's 273 0 0 0 0 0 0 0 0 0 1980's 0 0 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages:

  10. Illinois Natural Gas Processed (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Processed (Million Cubic Feet) Illinois Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 483,902 483,336 478,291 1970's 429,691 341,750 376,310 358,142 342,046 322,393 305,441 275,060 327,451 1980's 150,214 152,645 166,568 156,791 153,419 146,463 106,547 757 509 1990's 607 951 942 809 685 727 578 500 468 358 2000's 271 233 299 306 328 280 242 235 233 164 2010's 5,393 294 - = No Data Reported; -- = Not Applicable; NA =

  11. " Million Housing Units, Final"

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

    3 Appliances in U.S. Homes, by Year of Construction, 2009" " Million Housing Units, Final" ,,"Year of Construction" ,"Total U.S.1 (millions)" ,,"Before 1940","1940 to 1949","1950 to 1959","1960 to 1969","1970 to 1979","1980 to 1989","1990 to 1999","2000 to 2009" "Appliances" "Total Homes",113.6,14.4,5.2,13.5,13.3,18.3,17,16.4,15.6 "Cooking Appliances"

  12. Michigan Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Michigan Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 171,531 156,996 143,802 1970's 139,571 141,784 94,738 37,384 45,106 79,154 151,318 172,578 199,347 1980's 155,984 151,560 137,364 148,076 151,393 142,255 137,687 125,183 123,578 1990's 134,550 170,574 186,144 201,985 196,000 179,678 117,119 86,564 83,052 67,514 2000's 58,482 50,734 47,292 41,619 37,977 34,545 33,213 29,436 30,008

  13. Nebraska Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Nebraska Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 13,130 9,437 6,415 1970's 3,697 2,848 2,890 33,369 34,243 34,463 35,351 32,226 29,828 1980's 1,648 1,281 1,154 1,256 1,097 707 987 690 381 1990's 31 136 65 586 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  14. Nebraska Natural Gas Repressuring (Million Cubic Feet)

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

    Repressuring (Million Cubic Feet) Nebraska Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 1,629 1,200 427 1970's 318 0 0 0 0 0 0 0 0 0 1980's 0 0 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016

  15. Ohio Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Ohio Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 207 670 1,713 2,263 2,591 2,555 3,036 2,812 2,608 1990's 3,081 2,615 2,730 2,989 2,930 2,257 2,477 2,553 2,895 2,933 2000's 3,285 4,336 4,098 3,609 3,883 2,657 2,397 1,456 2010's 2,211 33,031 344,073 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  16. Ohio Natural Gas Repressuring (Million Cubic Feet)

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

    Repressuring (Million Cubic Feet) Ohio Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 1,808 850 889 0 1,141 1,234 1980's 0 0 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages:

  17. Oklahoma Natural Gas Repressuring (Million Cubic Feet)

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

    Repressuring (Million Cubic Feet) Oklahoma Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 81,755 86,285 87,196 1970's 86,432 85,027 82,265 82,396 83,488 83,486 85,479 89,365 91,342 96,366 1980's 101,198 2000's 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  18. Pennsylvania Natural Gas Repressuring (Million Cubic Feet)

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

    Repressuring (Million Cubic Feet) Pennsylvania Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 375 320 312 1970's 273 0 0 0 0 0 0 0 0 0 1980's 0 0 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages:

  19. Tennessee Natural Gas Repressuring (Million Cubic Feet)

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

    Repressuring (Million Cubic Feet) Tennessee Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 146 436 897 538 1980's 0 0 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages:

  20. Utah Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Utah Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 1980's 68,211 95,670 93,934 98,598 99,233 241,904 274,470 286,592 286,929 1990's 334,067 333,591 319,017 348,010 368,585 308,174 265,546 249,930 242,070 211,514 2000's 169,553 166,505 136,843 161,275 193,093 187,524 193,836 195,701 202,380 412,639 2010's 454,832 490,233 535,365 448,687 419,773 - = No Data

  1. California Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) California Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 505,063 476,596 455,692 1970's 444,700 431,605 386,664 359,841 252,402 213,079 216,667 206,981 204,693 1980's 169,812 261,725 263,475 276,209 281,389 263,823 276,969 270,191 254,286 1990's 263,667 246,335 243,692 246,283 228,346 226,548 240,566 243,054 235,558 259,518 2000's 260,049 258,271 249,671 238,743 236,465 226,230 223,580

  2. Colorado Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Colorado Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 112,440 96,397 85,171 1970's 82,736 97,420 104,116 110,662 118,686 136,090 175,624 171,233 167,959 1980's 201,637 220,108 173,894 181,150 191,625 163,614 180,290 178,048 196,682 1990's 208,069 234,851 256,019 307,250 353,855 345,441 493,963 374,728 425,083 444,978 2000's 494,581 497,385 534,295 555,544 703,804 730,948 751,036

  3. Florida Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Florida Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 375,090 409,248 765,597 854,064 886,147 859,996 1980's 279,690 272,239 270,004 265,840 247,870 218,288 228,721 226,028 260,627 1990's 258,984 222,893 226,254 207,975 10,265 9,061 8,514 8,364 8,174 8,439 2000's 7,844 7,186 6,063 5,771 4,805 3,584 3,972 2,422 300 2010's 2,915 - = No Data Reported; -- = Not

  4. Kansas Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Kansas Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 1,250,286 1,239,723 1,493,907 1970's 1,445,817 1,451,438 1,497,319 1,503,660 1,407,239 1,367,949 1,389,850 1,427,654 1,476,110 1980's 1,046,516 825,440 874,488 926,348 997,710 951,222 908,673 943,335 885,253 1990's 794,705 955,040 943,923 961,518 965,674 965,266 970,163 749,423 732,828 653,515 2000's 610,039 576,231 572,044 530,938

  5. Kentucky Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Kentucky Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 1980's 237,759 230,940 241,558 256,522 253,652 150,627 26,888 26,673 18,707 1990's 28,379 40,966 47,425 45,782 42,877 44,734 46,015 43,352 37,929 44,064 2000's 36,734 36,901 41,078 42,758 38,208 38,792 39,559 38,158 58,899 60,167 2010's 66,579 60,941 92,883 85,549 79,985 - = No Data Reported; -- = Not

  6. Consumers face $5. 9 million rate increase

    SciTech Connect (OSTI)

    Not Available

    1984-11-01

    Testimony at hearings before the Garrison Diversion Compromise Commission claimed that rural consumers in the Upper Midwest could face $5.9 million in electric rate increases if the commission deauthorizes the project and hydroelectric rates go up to pay the costs of the 1944 Pick-Sloan project originally assigned to irrigation. If there is no irrigation development, the revenue that irrigation must raise to repay the $67 million debt assigned to irrigation must be reassigned to hydroelectric power. The commission represents a compromise between supporters and opponents of the Garrison Diversion project. Spokesmen for regional utilities spoke in support of the project as an investment whose costs have escalated because of delays at the expense of economic development in North Dakota.

  7. Wyoming Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Wyoming Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 261,478 259,227 269,921 1970's 276,926 292,434 298,439 303,519 263,684 215,104 251,846 262,801 255,760 1980's 366,530 393,027 432,313 579,479 624,619 506,241 512,579 560,603 591,472 1990's 635,922 681,266 728,113 750,853 821,689 895,129 845,253 863,052 870,518 902,889 2000's 993,702 988,595 1,083,860 1,101,425 1,249,309 1,278,087

  8. Emulating a million machines to investigate botnets.

    SciTech Connect (OSTI)

    Rudish, Donald W.

    2010-06-01

    Researchers at Sandia National Laboratories in Livermore, California are creating what is in effect a vast digital petridish able to hold one million operating systems at once in an effort to study the behavior of rogue programs known as botnets. Botnets are used extensively by malicious computer hackers to steal computing power fron Internet-connected computers. The hackers harness the stolen resources into a scattered but powerful computer that can be used to send spam, execute phishing, scams or steal digital information. These remote-controlled 'distributed computers' are difficult to observe and track. Botnets may take over parts of tens of thousands or in some cases even millions of computers, making them among the world's most powerful computers for some applications.

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

    SciTech Connect (OSTI)

    1997-04-01

    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.

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

    SciTech Connect (OSTI)

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

    2012-07-01

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

  11. One million curies of radioactive material recovered

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

    Radioactive material recovered One million curies of radioactive material recovered The accomplishment represents a major milestone in protecting our nation and the world from material that could be used in "dirty bombs" by terrorists. December 22, 2014 Rick Day of Los Alamos National Laboratory's International Threat Reduction group and the Off-Site Source Recovery Project (OSRP) holds a non-radioactive training mockup of what a typical cobalt-60 source might look like. The source is

  12. Employees pledge record $2.8 million

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

    2012 Employee Giving Campaign sets record Employees pledge record $2.8 million during 2012 employee giving campaign Laboratory employee contributions will fund a wide range of programs offered by eligible nonprofit organizations. December 13, 2011 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new

  13. Nevada Natural Gas Wellhead (Million Cubic Feet)

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

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

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

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

    (STEO) ï‚· This edition of the Short-Term Energy Outlook is the first to include forecasts for 2014. ï‚· EIA expects that the Brent crude oil spot price, which averaged $112 per barrel in 2012, will fall to an average of $105 per barrel in 2013 and $99 per barrel in 2014. The projected discount of West Texas Intermediate (WTI) crude oil to Brent, which averaged $18 per barrel in 2012, falls to an average of $16 per barrel in 2013 and $8 per barrel in 2014, as planned new pipeline capacity lowers

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

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

    5 1 Short-Term Energy Outlook May 2005 2005 Summer Motor Gasoline Outlook Update (Figure 1) A considerable break in the expected strength of near-term crude oil prices has resulted in a lower forecast for retail gasoline prices this spring. Gasoline prices may well have seen their peak for the year, barring sharp disruptions in crude oil supply or refinery operations. Pump prices for the summer (April-September) are now projected to average $2.17 per gallon, still high by historical standards

  16. 3TIER Environmental Forecast Group Inc 3TIER | Open Energy Information

    Open Energy Info (EERE)

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

  17. Energy Savings Forecast of Solid-State Lighting in General Illuminatio...

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

    Forecast of Solid-State Lighting in General Illumination Applications Energy Savings Forecast of Solid-State Lighting in General Illumination Applications PDF icon...

  18. Short wavelength laser

    DOE Patents [OSTI]

    Hagelstein, P.L.

    1984-06-25

    A short wavelength laser is provided that is driven by conventional-laser pulses. A multiplicity of panels, mounted on substrates, are supported in two separated and alternately staggered facing and parallel arrays disposed along an approximately linear path. When the panels are illuminated by the conventional-laser pulses, single pass EUV or soft x-ray laser pulses are produced.

  19. Louisiana--State Offshore Natural Gas Dry Production (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Dry Production (Million Cubic Feet) Louisiana--State Offshore Natural Gas Dry Production (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  20. Texas--State Offshore Natural Gas Dry Production (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    Dry Production (Million Cubic Feet) Texas--State Offshore Natural Gas Dry Production (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  1. Energy Department Announces $150 Million in Tax Credits to Invest...

    Office of Environmental Management (EM)

    Announces 150 Million in Tax Credits to Invest in U.S. Clean Energy Manufacturing Energy Department Announces 150 Million in Tax Credits to Invest in U.S. Clean Energy...

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

  4. Department of Energy Offers $102 Million Conditional Commitment...

    Office of Environmental Management (EM)

    02 Million Conditional Commitment for Loan Guarantee to U.S. Geothermal, Inc. Department of Energy Offers 102 Million Conditional Commitment for Loan Guarantee to U.S. Geothermal,...

  5. Department of Energy Offers $102 Million Conditional Commitment...

    Office of Environmental Management (EM)

    Offers 102 Million Conditional Commitment for Loan Guarantee to U.S. Geothermal Inc. Department of Energy Offers 102 Million Conditional Commitment for Loan Guarantee to U.S....

  6. Better Buildings Challenge Saves $840 Million in Energy Costs...

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

    Saves 840 Million in Energy Costs, Adds New Water Savings Goal Better Buildings Challenge Saves 840 Million in ... BioStar Renewables joins as a financial ally. Bucks County Water & ...

  7. Secretary Bodman Announces Sale of 11 Million Barrels of Crude...

    Office of Environmental Management (EM)

    Sale of 11 Million Barrels of Crude Oil from the Nation's Strategic Petroleum Reserve Secretary Bodman Announces Sale of 11 Million Barrels of Crude Oil from the Nation's Strategic...

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

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

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

  9. New Mexico Crude Oil + Lease Condensate Reserves Sales (Million...

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

    Sales (Million Barrels) New Mexico Crude Oil + Lease Condensate Reserves Sales (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's...

  10. Secretary Chu Announces more than $200 Million for Solar and...

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

    more than 200 Million for Solar and Water Power Technologies Secretary Chu Announces more than 200 Million for Solar and Water Power Technologies April 22, 2010 - 12:00am Addthis...

  11. Energy Department Offers $50 Million to Advance Fuel Efficient...

    Energy Savers [EERE]

    Offers 50 Million to Advance Fuel Efficient Autos Energy Department Offers 50 Million to Advance Fuel Efficient Autos January 29, 2014 - 12:00am Addthis The Energy Department on...

  12. Obama Administration Announces More Than $16 Million for Energy...

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

    16 Million for Energy Projects in Iowa Obama Administration Announces More Than 16 Million for Energy Projects in Iowa June 22, 2009 - 12:00am Addthis Des Moines, IA - U.S. ...

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

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

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

  14. Energy Department Announces $4 Million Solicitation for Solid...

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

    4 Million Solicitation for Solid-State Lighting Research Energy Department Announces 4 Million Solicitation for Solid-State Lighting Research August 29, 2005 - 2:46pm Addthis ...

  15. Energy Department Provides $7 Million for Solid-State Lighting...

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

    7 Million for Solid-State Lighting Product Development Energy Department Provides 7 Million for Solid-State Lighting Product Development June 6, 2006 - 2:15pm Addthis Funding to ...

  16. DOE's Office of Science Awards 18 Million Hours of Supercomputing...

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

    DOE's Office of Science Awards 18 Million Hours of Supercomputing Time to 15 Teams for Large-Scale Scientific Computing DOE's Office of Science Awards 18 Million Hours of...

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

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

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

  18. Texas Natural Gas Total Consumption (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Total Consumption (Million Cubic Feet) Texas Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

  19. Texas Natural Gas Exports (No Intransit Deliveries) (Million...

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

    Exports (No Intransit Deliveries) (Million Cubic Feet) Texas Natural Gas Exports (No Intransit Deliveries) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

  20. Texas--Onshore Natural Gas Dry Production (Million Cubic Feet...

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

    Onshore Natural Gas Dry Production (Million Cubic Feet) Texas--Onshore Natural Gas Dry Production (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

  1. Texas Onshore Natural Gas Processed in New Mexico (Million Cubic...

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

    New Mexico (Million Cubic Feet) Texas Onshore Natural Gas Processed in New Mexico (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

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

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

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

  3. Texas Natural Gas Plant Liquids Production (Million Cubic Feet...

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

    Liquids Production (Million Cubic Feet) Texas Natural Gas Plant Liquids Production (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

  4. Texas Natural Gas Lease Fuel Consumption (Million Cubic Feet...

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

    Fuel Consumption (Million Cubic Feet) Texas Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

  5. Texas Natural Gas Lease and Plant Fuel Consumption (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    and Plant Fuel Consumption (Million Cubic Feet) Texas Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

  6. Texas Natural Gas Plant Liquids, Proved Reserves (Million Barrels...

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

    Liquids, Proved Reserves (Million Barrels) Texas Natural Gas Plant Liquids, Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  7. Texas Onshore Natural Gas Processed in Oklahoma (Million Cubic...

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

    Oklahoma (Million Cubic Feet) Texas Onshore Natural Gas Processed in Oklahoma (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

  8. Texas Onshore Natural Gas Processed in Texas (Million Cubic Feet...

    Gasoline and Diesel Fuel Update (EIA)

    Texas (Million Cubic Feet) Texas Onshore Natural Gas Processed in Texas (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's...

  9. Texas Natural Gas Plant Fuel Consumption (Million Cubic Feet...

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

    Fuel Consumption (Million Cubic Feet) Texas Natural Gas Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

  10. Texas Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    Gasoline and Diesel Fuel Update (EIA)

    Input Supplemental Fuels (Million Cubic Feet) Texas Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  11. Texas--onshore Natural Gas Marketed Production (Million Cubic...

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

    Marketed Production (Million Cubic Feet) Texas--onshore Natural Gas Marketed Production (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  12. DOE Announces up to $22 Million for Community Renewable Energy...

    Energy Savers [EERE]

    up to 22 Million for Community Renewable Energy Deployment DOE Announces up to 22 Million for Community Renewable Energy Deployment July 15, 2009 - 12:00am Addthis WASHINGTON, DC...

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

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

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

  14. DOE Announces Over $8 Million to Increase Use and Availability...

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

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  15. West Virginia Natural Gas Processed in West Virginia (Million...

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

    in West Virginia (Million Cubic Feet) West Virginia Natural Gas Processed in West Virginia (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

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

    Gasoline and Diesel Fuel Update (EIA)

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

  17. West Virginia Natural Gas Repressuring (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Repressuring (Million Cubic Feet) West Virginia Natural Gas Repressuring (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's...

  18. Kentucky Natural Gas Processed in West Virginia (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    West Virginia (Million Cubic Feet) Kentucky Natural Gas Processed in West Virginia (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

  19. West Virginia Natural Gas Plant Liquids, Proved Reserves (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Proved Reserves (Million Barrels) West Virginia Natural Gas Plant Liquids, Proved Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  20. Connecticut Natural Gas Input Supplemental Fuels (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    Input Supplemental Fuels (Million Cubic Feet) Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  1. Connecticut Natural Gas Total Consumption (Million Cubic Feet...

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

    Total Consumption (Million Cubic Feet) Connecticut Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

  2. El Paso, TX Natural Gas Pipeline Imports From Mexico (Million...

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

    Million Cubic Feet) El Paso, TX Natural Gas Pipeline Imports From Mexico (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's...

  3. Virginia Natural Gas in Underground Storage (Working Gas) (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Gas) (Million Cubic Feet) Virginia Natural Gas in Underground Storage (Working Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1997 0 0 0 0 0...

  4. Tennessee Natural Gas in Underground Storage (Working Gas) (Million...

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

    Working Gas) (Million Cubic Feet) Tennessee Natural Gas in Underground Storage (Working Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1997 0 0 0 0...

  5. Texas Natural Gas in Underground Storage (Base Gas) (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Base Gas) (Million Cubic Feet) Texas Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 134,707 134,707...

  6. Washington Natural Gas in Underground Storage (Base Gas) (Million...

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

    Base Gas) (Million Cubic Feet) Washington Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 21,300 21,300...

  7. Alaska Natural Gas in Underground Storage (Base Gas) (Million...

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

    Base Gas) (Million Cubic Feet) Alaska Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 7,622 14,197...

  8. Utah Natural Gas in Underground Storage (Base Gas) (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    Base Gas) (Million Cubic Feet) Utah Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 46,944 46,944...

  9. Virginia Natural Gas in Underground Storage (Base Gas) (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Base Gas) (Million Cubic Feet) Virginia Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1997 0 0 0 0 0 0 0 0...

  10. Missouri Natural Gas in Underground Storage (Base Gas) (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Base Gas) (Million Cubic Feet) Missouri Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 21,600 21,600...

  11. Maryland Natural Gas in Underground Storage (Base Gas) (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Base Gas) (Million Cubic Feet) Maryland Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 46,677 46,677...

  12. Indiana Natural Gas in Underground Storage (Base Gas) (Million...

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

    Base Gas) (Million Cubic Feet) Indiana Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 74,572 74,572...

  13. Kentucky Natural Gas in Underground Storage (Base Gas) (Million...

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

    Base Gas) (Million Cubic Feet) Kentucky Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 105,889 105,889...

  14. Missouri Natural Gas in Underground Storage (Working Gas) (Million...

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

    Working Gas) (Million Cubic Feet) Missouri Natural Gas in Underground Storage (Working Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 8,081...

  15. Michigan Natural Gas in Underground Storage (Base Gas) (Million...

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

    Base Gas) (Million Cubic Feet) Michigan Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 395,529 395,529...

  16. Louisiana Natural Gas in Underground Storage (Working Gas) (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Gas) (Million Cubic Feet) Louisiana Natural Gas in Underground Storage (Working Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 115,418...

  17. Minnesota Natural Gas in Underground Storage (Base Gas) (Million...

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

    Base Gas) (Million Cubic Feet) Minnesota Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 4,655 4,655...

  18. North Carolina Natural Gas Underground Storage Withdrawals (Million...

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

    Withdrawals (Million Cubic Feet) North Carolina Natural Gas Underground Storage Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  19. Colorado Natural Gas in Underground Storage (Working Gas) (Million...

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

    Working Gas) (Million Cubic Feet) Colorado Natural Gas in Underground Storage (Working Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 27,491...

  20. South Carolina Natural Gas Underground Storage Withdrawals (Million...

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

    Withdrawals (Million Cubic Feet) South Carolina Natural Gas Underground Storage Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  1. Ohio Natural Gas in Underground Storage (Base Gas) (Million Cubic...

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

    Base Gas) (Million Cubic Feet) Ohio Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 338,916 338,916...

  2. New Jersey Natural Gas Underground Storage Withdrawals (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Withdrawals (Million Cubic Feet) New Jersey Natural Gas Underground Storage Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  3. Rhode Island Natural Gas Underground Storage Withdrawals (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Withdrawals (Million Cubic Feet) Rhode Island Natural Gas Underground Storage Withdrawals (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  4. Alabama Natural Gas in Underground Storage (Working Gas) (Million...

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

    Working Gas) (Million Cubic Feet) Alabama Natural Gas in Underground Storage (Working Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1995 499 497...

  5. Wyoming Natural Gas in Underground Storage (Base Gas) (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Base Gas) (Million Cubic Feet) Wyoming Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 31,205 31,205...

  6. Ohio Natural Gas in Underground Storage (Working Gas) (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Gas) (Million Cubic Feet) Ohio Natural Gas in Underground Storage (Working Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 100,467...

  7. Arkansas Natural Gas in Underground Storage (Base Gas) (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Base Gas) (Million Cubic Feet) Arkansas Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 19,202 19,202...

  8. Arkansas Natural Gas in Underground Storage (Working Gas) (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Gas) (Million Cubic Feet) Arkansas Natural Gas in Underground Storage (Working Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 8,676...

  9. Oklahoma Natural Gas in Underground Storage (Base Gas) (Million...

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

    Base Gas) (Million Cubic Feet) Oklahoma Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 167,385 163,458...

  10. Oregon Natural Gas in Underground Storage (Base Gas) (Million...

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

    Base Gas) (Million Cubic Feet) Oregon Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 3,291 3,291 3,291...

  11. Utah Natural Gas in Underground Storage (Working Gas) (Million...

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

    Working Gas) (Million Cubic Feet) Utah Natural Gas in Underground Storage (Working Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 12,862 9,993...

  12. Mississippi Natural Gas in Underground Storage (Base Gas) (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Base Gas) (Million Cubic Feet) Mississippi Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 46,050...

  13. Louisiana Natural Gas in Underground Storage (Base Gas) (Million...

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

    Base Gas) (Million Cubic Feet) Louisiana Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 262,136...

  14. Alabama Natural Gas in Underground Storage (Base Gas) (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Base Gas) (Million Cubic Feet) Alabama Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1995 880 880 880 880...

  15. Nebraska Natural Gas in Underground Storage (Working Gas) (Million...

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

    Working Gas) (Million Cubic Feet) Nebraska Natural Gas in Underground Storage (Working Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 55,226...

  16. Nebraska Natural Gas in Underground Storage (Base Gas) (Million...

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

    Base Gas) (Million Cubic Feet) Nebraska Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 27,312 27,312...

  17. Iowa Natural Gas in Underground Storage (Base Gas) (Million Cubic...

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

    Base Gas) (Million Cubic Feet) Iowa Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 153,933 153,933...

  18. Lower 48 States Natural Gas Underground Storage Volume (Million...

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

    Lower 48 States Natural Gas Underground Storage Volume (Million Cubic Feet) Lower 48 States Natural Gas Underground Storage Volume (Million Cubic Feet) Year Jan Feb Mar Apr May Jun...

  19. Oklahoma Natural Gas in Underground Storage (Working Gas) (Million...

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

    Working Gas) (Million Cubic Feet) Oklahoma Natural Gas in Underground Storage (Working Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 129,245...

  20. Oregon Natural Gas in Underground Storage (Working Gas) (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Working Gas) (Million Cubic Feet) Oregon Natural Gas in Underground Storage (Working Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 3,705 2,366...

  1. Maryland Natural Gas in Underground Storage (Working Gas) (Million...

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

    Working Gas) (Million Cubic Feet) Maryland Natural Gas in Underground Storage (Working Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 4,303...

  2. Colorado Natural Gas in Underground Storage (Base Gas) (Million...

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

    Base Gas) (Million Cubic Feet) Colorado Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 39,062 39,062...

  3. Alaska Natural Gas in Underground Storage (Working Gas) (Million...

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

    Working Gas) (Million Cubic Feet) Alaska Natural Gas in Underground Storage (Working Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013 8,956...

  4. Tennessee Natural Gas in Underground Storage (Base Gas) (Million...

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

    Base Gas) (Million Cubic Feet) Tennessee Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1997 0 0 0 0 0 0 0...

  5. Energy Secretary Announces $13 Million to Expand Solar Energy...

    Energy Savers [EERE]

    3 Million to Expand Solar Energy Technologies Energy Secretary Announces 13 Million to Expand Solar Energy Technologies October 12, 2006 - 9:08am Addthis ST. LOUIS, MO - U.S. ...

  6. DOE Announces $87 Million in Funding to Support Solar Energy...

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

    87 Million in Funding to Support Solar Energy Technologies DOE Announces 87 Million in Funding to Support Solar Energy Technologies October 8, 2009 - 12:00am Addthis WASHINGTON, ...

  7. Gulf Of Mexico Natural Gas Plant Liquids Production (Million...

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

    (Million Cubic Feet) Gulf Of Mexico Natural Gas Plant Liquids Production (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0...

  8. Alabama--State Offshore Natural Gas Dry Production (Million Cubic...

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

    State Offshore Natural Gas Dry Production (Million Cubic Feet) Alabama--State Offshore Natural Gas Dry Production (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

  9. Sabine Pass, LA Exports to Brazil Liquefied Natural Gas (Million...

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

    Brazil Liquefied Natural Gas (Million Cubic Feet) Sabine Pass, LA Exports to Brazil Liquefied Natural Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec...

  10. Freeport, TX Liquefied Natural Gas Exports to Brazil (Million...

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

    to Brazil (Million Cubic Feet) Freeport, TX Liquefied Natural Gas Exports to Brazil (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2011 2,581 2012 2,601...

  11. Obama Administration Announces up to $32 Million Initiative to...

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

    up to 32 Million Initiative to Expand Hydropower Obama Administration Announces up to 32 Million Initiative to Expand Hydropower June 30, 2009 - 12:00am Addthis Washington, DC - ...

  12. North Carolina Natural Gas Total Consumption (Million Cubic Feet...

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

    Total Consumption (Million Cubic Feet) North Carolina Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  13. North Carolina Natural Gas Input Supplemental Fuels (Million...

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

    Input Supplemental Fuels (Million Cubic Feet) North Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

  14. Vermont Natural Gas Deliveries to Electric Power Consumers (Million...

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

    Deliveries to Electric Power Consumers (Million Cubic Feet) Vermont Natural Gas Deliveries to Electric Power Consumers (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep...

  15. Alaska Natural Gas Deliveries to Electric Power Consumers (Million...

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

    Deliveries to Electric Power Consumers (Million Cubic Feet) Alaska Natural Gas Deliveries to Electric Power Consumers (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep...

  16. Maine Natural Gas Deliveries to Electric Power Consumers (Million...

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

    Deliveries to Electric Power Consumers (Million Cubic Feet) Maine Natural Gas Deliveries to Electric Power Consumers (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep...

  17. Iowa Natural Gas Deliveries to Electric Power Consumers (Million...

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

    Deliveries to Electric Power Consumers (Million Cubic Feet) Iowa Natural Gas Deliveries to Electric Power Consumers (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep...

  18. Florida Natural Gas Deliveries to Electric Power Consumers (Million...

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

    Deliveries to Electric Power Consumers (Million Cubic Feet) Florida Natural Gas Deliveries to Electric Power Consumers (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep...

  19. New York Natural Gas Input Supplemental Fuels (Million Cubic...

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

    Input Supplemental Fuels (Million Cubic Feet) New York Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  20. New York Natural Gas Lease Fuel Consumption (Million Cubic Feet...

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

    Fuel Consumption (Million Cubic Feet) New York Natural Gas Lease Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

  1. New York Natural Gas Lease and Plant Fuel Consumption (Million...

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

    and Plant Fuel Consumption (Million Cubic Feet) New York Natural Gas Lease and Plant Fuel Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

  2. New York Natural Gas in Underground Storage (Base Gas) (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Base Gas) (Million Cubic Feet) New York Natural Gas in Underground Storage (Base Gas) (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1990 88,911 88,911...

  3. New York Natural Gas Total Consumption (Million Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    Total Consumption (Million Cubic Feet) New York Natural Gas Total Consumption (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

  4. New York Natural Gas Exports (No Intransit Deliveries) (Million...

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

    No Intransit Deliveries) (Million Cubic Feet) New York Natural Gas Exports (No Intransit Deliveries) (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

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

    Gasoline and Diesel Fuel Update (EIA)

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

  6. Sabine Pass, LA Exports to Japan Liquefied Natural Gas (Million...

    Gasoline and Diesel Fuel Update (EIA)

    Japan Liquefied Natural Gas (Million Cubic Feet) Sabine Pass, LA Exports to Japan Liquefied Natural Gas (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec...

  7. DOE Completes $17 Million Loan Guarantee for New York Energy...

    Office of Environmental Management (EM)

    17 Million Loan Guarantee for New York Energy Storage System with Recovery Act Funds DOE Completes 17 Million Loan Guarantee for New York Energy Storage System with Recovery Act ...

  8. Secretary Chu Announces $47 Million to Improve Efficiency in...

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

    ... Equipment & Software Projects IBM T.J. Watson Research Center (1.6 million) SeaMicro Inc. ... Cooling IBM T.J. Watson Research Center (2.3 million) Federspiel Controls, Inc. ...

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

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

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

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

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

    Oil Wells (Million Cubic Feet) Other States Natural Gas Gross Withdrawals from Oil Wells (Million Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1991 3,459 3,117...

  11. Indiana: EERE's Wireless Sensors Can Save Companies Millions...

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

    Indiana: EERE's Wireless Sensors Can Save Companies Millions of Dollars Indiana: EERE's Wireless Sensors Can Save Companies Millions of Dollars March 6, 2014 - 10:44am Addthis All ...

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

    SciTech Connect (OSTI)

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

    2005-07-01

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

  13. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    (STEO) Highlights ï‚· The weekly U.S. average regular gasoline retail price has fallen by more than 40 cents per gallon since the beginning of September. EIA's forecast for the regular gasoline retail price averages $3.24 per gallon in the fourth quarter of 2013, $0.10 per gallon less than forecast in last month's STEO. The annual average regular gasoline retail price, which was $3.63 per gallon in 2012, is expected to average $3.50 per gallon in 2013 and $3.39 per gallon in 2014. ï‚· The North

  14. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    (STEO) Highlights ï‚· North Sea Brent crude oil prices averaged $48/barrel (b) in October, a $1/b increase from September. Daily Brent prices have ranged between $45/b and $53/b since the beginning of September. Oil price volatility was lower during October than during August and September, but it remains elevated compared with levels in recent years. ï‚· EIA forecasts that Brent crude oil prices will average $54/b in 2015 and $56/b in 2016. The 2015 forecast price is unchanged from last month's

  15. FY 1996 solid waste integrated life-cycle forecast characteristics summary. Volumes 1 and 2

    SciTech Connect (OSTI)

    Templeton, K.J.

    1996-05-23

    For the past six years, a waste volume forecast has been collected annually from onsite and offsite generators that currently ship or are planning to ship solid waste to the Westinghouse Hanford Company`s Central Waste Complex (CWC). This document provides a description of the physical waste forms, hazardous waste constituents, and radionuclides of the waste expected to be shipped to the CWC from 1996 through the remaining life cycle of the Hanford Site (assumed to extend to 2070). In previous years, forecast data has been reported for a 30-year time period; however, the life-cycle approach was adopted this year to maintain consistency with FY 1996 Multi-Year Program Plans. This document is a companion report to two previous reports: the more detailed report on waste volumes, WHC-EP-0900, FY1996 Solid Waste Integrated Life-Cycle Forecast Volume Summary and the report on expected containers, WHC-EP-0903, FY1996 Solid Waste Integrated Life-Cycle Forecast Container Summary. All three documents are based on data gathered during the FY 1995 data call and verified as of January, 1996. These documents are intended to be used in conjunction with other solid waste planning documents as references for short and long-term planning of the WHC Solid Waste Disposal Division`s treatment, storage, and disposal activities over the next several decades. This document focuses on two main characteristics: the physical waste forms and hazardous waste constituents of low-level mixed waste (LLMW) and transuranic waste (both non-mixed and mixed) (TRU(M)). The major generators for each waste category and waste characteristic are also discussed. The characteristics of low-level waste (LLW) are described in Appendix A. In addition, information on radionuclides present in the waste is provided in Appendix B. The FY 1996 forecast data indicate that about 100,900 cubic meters of LLMW and TRU(M) waste is expected to be received at the CWC over the remaining life cycle of the site. Based on ranges provided by the waste generators, this baseline volume could fluctuate between a minimum of about 59,720 cubic meters and a maximum of about 152,170 cubic meters. The range is primarily due to uncertainties associated with the Tank Waste Remediation System (TWRS) program, including uncertainties regarding retrieval of long-length equipment, scheduling, and tank retrieval technologies.

  16. Department of Energy to Invest $60 Million to Develop Innovative...

    Office of Environmental Management (EM)

    Innovative Concentrating Solar Power Technologies Department of Energy to Invest 60 Million to ... and eventual commercial production for clean electricity ...

  17. Announcing $4 Million For Wireless EV Charging | Department of Energy

    Energy Savers [EERE]

    $4 Million For Wireless EV Charging Announcing $4 Million For Wireless EV Charging April 6, 2012 - 1:44pm Addthis The Energy Department announced up to $4 million to develop wireless chargers for electric vehicles. | Graphic courtesy of the Vehicle Technologies Program. The Energy Department announced up to $4 million to develop wireless chargers for electric vehicles. | Graphic courtesy of the Vehicle Technologies Program. Erin R. Pierce Erin R. Pierce Former Digital Communications Specialist,

  18. President's FY 2017 Budget Includes $878 Million for Fossil Energy

    Energy Savers [EERE]

    Programs | Department of Energy President's FY 2017 Budget Includes $878 Million for Fossil Energy Programs President's FY 2017 Budget Includes $878 Million for Fossil Energy Programs February 9, 2016 - 2:33pm Addthis President Obama's Fiscal Year (FY) 2017 Budget includes a programmatic level of $878 million for the Office of Fossil Energy (FE), including the use of $240 million in prior year funds, to advance technologies related to the reliable, efficient, affordable and environmentally

  19. Maryland Natural Gas Repressuring (Million Cubic Feet)

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

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

  20. Virginia Natural Gas Repressuring (Million Cubic Feet)

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

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

  1. Kentucky Natural Gas Repressuring (Million Cubic Feet)

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

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

  2. Science and Engineering of an Operational Tsunami Forecasting System

    ScienceCinema (OSTI)

    Gonzalez, Frank

    2010-01-08

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

  3. Microsoft Word - 1 Million Electric Vehicle Report Final | Department of

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

    Energy 1 Million Electric Vehicle Report Final Microsoft Word - 1 Million Electric Vehicle Report Final PDF icon Microsoft Word - 1 Million Electric Vehicle Report Final More Documents & Publications FY 2012 Annual Progress Report for Energy Storage R&D Revolution Now: The Future Arrives for Five Clean Energy Technologies-2015 Update Hybrid Electric Systems

  4. DOE Awards $100 Million for Energy Research | Photosynthetic Antenna

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

    Research Center DOE Awards $100 Million for Energy Research July 8, 2014 DOE Awards $100 Million for Energy Research PARC is renewed under DOE awards for 4 more years http://energy.gov/articles/doe-awards-100-million-innovative-energy-research In the News News/Media

  5. Security Improvements Project Completed Ahead of Schedule, $20 Million

    National Nuclear Security Administration (NNSA)

    Under Budget | National Nuclear Security Administration Field Offices / Welcome to the NNSA Production Office / NPO News Releases / Security Improvements Project Completed Ahead of Schedule, ... Security Improvements Project Completed Ahead of Schedule, $20 Million Under Budget The National Nuclear Security Administration's (NNSA) Security Improvements Project (SIP) was recently completed ahead of schedule and approximately $20 million under its original budget of $72 million.

  6. Alabama Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Alabama Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 57,208 1970's 0 0 0 0 0 0 25,517 31,610 32,806 1980's 38,572 41,914 38,810 42,181 45,662 48,382 49,341 52,511 55,939 1990's 58,136 76,739 126,910 132,222 136,195 118,688 112,868 114,411 107,334 309,492 2000's 372,136 285,953 290,164 237,377 263,426 255,157 287,278 257,443 253,028 248,232 2010's 242,444 230,546 87,269 89,258 80,590 -

  7. Alaska Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Alaska Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 1970's 0 0 0 0 0 0 149,865 151,669 147,954 1980's 111,512 115,394 42,115 62,144 66,062 58,732 134,945 76,805 75,703 1990's 1,571,438 1,873,279 2,121,838 2,295,499 2,667,254 2,980,557 2,987,364 2,964,734 2,966,461 2,950,502 2000's 3,123,599 2,984,807 2,997,824 2,447,017 2,680,859 3,089,229 2,665,742 2,965,956 2,901,760 2,830,034

  8. Arkansas Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Arkansas Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 93,452 88,011 56,190 1970's 37,816 31,387 17,946 26,135 19,784 17,918 20,370 18,630 18,480 1980's 29,003 31,530 33,753 34,572 258,648 174,872 197,781 213,558 228,157 1990's 272,278 224,625 156,573 198,074 218,710 100,720 219,477 185,244 198,148 179,524 2000's 207,045 207,352 12,635 13,725 10,139 16,756 13,702 11,532 6,531 2,352

  9. Mississippi Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Mississippi Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 46,068 44,510 0 1970's 50,509 44,732 29,538 29,081 24,568 29,694 0 0 0 1980's 34,337 38,315 29,416 29,705 23,428 21,955 12,131 9,565 8,353 1990's 7,887 7,649 4,822 4,892 5,052 4,869 4,521 4,372 3,668 135,773 2000's 205,106 239,830 263,456 283,675 283,763 292,023 278,436 224,596 174,573 215,951 2010's 218,840 126,859 6,865 4,527

  10. Montana Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Montana Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 60,500 59,058 57,793 1970's 59,193 57,105 61,757 56,960 146,907 156,203 0 0 0 1980's 11,825 13,169 15,093 16,349 19,793 16,212 14,177 15,230 15,475 1990's 14,629 14,864 12,697 11,010 10,418 9,413 10,141 8,859 8,715 5,211 2000's 5,495 5,691 6,030 6,263 6,720 10,057 12,685 13,646 13,137 12,415 2010's 12,391 11,185 12,727 14,575 14,751

  11. Oklahoma Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Oklahoma Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 1,038,103 1,122,692 1,167,150 1970's 1,183,273 1,123,614 1,116,872 1,175,548 1,092,487 1,033,003 1,072,992 1,057,326 1,069,293 1980's 1,063,256 1,112,740 1,023,057 1,118,403 1,137,463 1,103,062 1,127,780 1,301,673 1,145,688 1990's 1,102,301 1,100,812 1,071,426 1,082,452 1,092,734 1,015,965 1,054,123 1,014,008 947,177 892,396 2000's

  12. Pennsylvania Natural Gas Processed (Million Cubic Feet)

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

    (Million Cubic Feet) Pennsylvania Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 2,247 2,390 1,708 1970's 1,418 1,112 1,711 0 0 0 0 0 0 1980's 2,001 2,393 5,432 6,115 5,407 6,356 6,459 6,126 6,518 1990's 6,613 10,244 11,540 10,263 7,133 10,106 10,341 11,661 11,366 11,261 2000's 7,758 9,928 7,033 9,441 9,423 11,462 12,386 13,367 18,046 22,364 2010's 56,162 131,959 236,817 396,726 301,514 - = No Data Reported; -- = Not

  13. Louisiana Natural Gas Processed (Million Cubic Feet)

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

    Processed (Million Cubic Feet) Louisiana Natural Gas Processed (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 3,383,334 3,728,717 4,465,379 1970's 5,237,519 5,994,431 6,337,328 6,524,729 6,273,136 5,831,487 5,749,783 5,709,535 5,561,040 1980's 5,197,429 4,770,095 4,190,105 4,439,430 3,811,852 3,794,464 3,880,364 3,918,236 4,002,843 1990's 4,220,068 4,340,531 4,466,425 4,315,312 4,200,126 4,604,292 4,652,677 4,767,965 4,610,969 4,687,261

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

    Open Energy Info (EERE)

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

  15. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    SciTech Connect (OSTI)

    Yoo, Wucherl; Sim, Alex

    2014-07-07

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

  16. Solar Trackers Market Forecast | OpenEI Community

    Open Energy Info (EERE)

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

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

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

    The Energy Department will present a live webinar titled "Solar Forecasting Metrics" on Thursday, February 13, from 3:00 p.m. to 5:00 p.m. Eastern Standard Time. During this ...

  18. Improving the Accuracy of Solar Forecasting Funding Opportunity

    Broader source: Energy.gov [DOE]

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

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

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

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

  20. World oil inventories forecast to grow significantly in 2016...

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

    World oil inventories forecast to grow significantly in 2016 and 2017 Global oil inventories are expected to continue strong growth over the next two years which should keep oil ...