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Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
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1

Free World energy survey: historical overview and long-term forecast  

SciTech Connect

This report gives a historical overview of international energy markets from the 1950s to date, and an analysis of future energy prices, economic growth, and potential supply instabilities. Forecasts of energy demand by region and fuel type are provided.

1983-01-01T23:59:59.000Z

2

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Table 2. Total Energy Consumption, Actual vs. Forecasts Table 3. Total Petroleum Consumption, Actual vs. Forecasts Table 4. Total Natural Gas Consumption, Actual vs. Forecasts Table 5. Total Coal Consumption, Actual vs. Forecasts Table 6. Total Electricity Sales, Actual vs. Forecasts Table 7. Crude Oil Production, Actual vs. Forecasts Table 8. Natural Gas Production, Actual vs. Forecasts Table 9. Coal Production, Actual vs. Forecasts Table 10. Net Petroleum Imports, Actual vs. Forecasts Table 11. Net Natural Gas Imports, Actual vs. Forecasts Table 12. Net Coal Exports, Actual vs. Forecasts Table 13. World Oil Prices, Actual vs. Forecasts Table 14. Natural Gas Wellhead Prices, Actual vs. Forecasts Table 15. Coal Prices to Electric Utilities, Actual vs. Forecasts

3

World Petroleum Supply/Demand Forecast - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

... surplus supply over demand for spring and summer quarters compared with some other forecasters such as Oil Market Intelligence, ...

4

ENERGY DEMAND FORECAST METHODS REPORT  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION ENERGY DEMAND FORECAST METHODS REPORT Companion Report to the California Energy Demand 2006-2016 Staff Energy Demand Forecast Report STAFFREPORT June 2005 CEC-400 .......................................................................................................................................1-1 ENERGY DEMAND FORECASTING AT THE CALIFORNIA ENERGY COMMISSION: AN OVERVIEW

5

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

H Tables H Tables Appendix H Comparisons With Other Forecasts, and Performance of Past IEO Forecasts for 1990, 1995, and 2000 Forecast Comparisons Three organizations provide forecasts comparable with those in the International Energy Outlook 2005 (IEO2005). The International Energy Agency (IEA) provides “business as usual” projections to the year 2030 in its World Energy Outlook 2004; Petroleum Economics, Ltd. (PEL) publishes world energy forecasts to 2025; and Petroleum Industry Research Associates (PIRA) provides projections to 2015. For this comparison, 2002 is used as the base year for all the forecasts, and the comparisons extend to 2025. Although IEA’s forecast extends to 2030, it does not publish a projection for 2025. In addition to forecasts from other organizations, the IEO2005 projections are also compared with those in last year’s report (IEO2004). Because 2002 data were not available when IEO2004 forecasts were prepared, the growth rates from IEO2004 are computed from 2001.

6

Material World: Forecasting Household Appliance Ownership in a Growing Global Economy  

E-Print Network (OSTI)

and V. Letschert (2005). Forecasting Electricity Demand in8364 Material World: Forecasting Household ApplianceMcNeil, 2008). Forecasting Diffusion Forecasting Variables

Letschert, Virginie

2010-01-01T23:59:59.000Z

7

Short-Term World Oil Price Forecast  

Gasoline and Diesel Fuel Update (EIA)

4 4 Notes: This graph shows monthly average spot West Texas Intermediate crude oil prices. Spot WTI crude oil prices peaked last fall as anticipated boosts to world supply from OPEC and other sources did not show up in actual stocks data. So where do we see crude oil prices going from here? Crude oil prices are expected to be about $28-$30 per barrel for the rest of this year, but note the uncertainty bands on this projection. They give an indication of how difficult it is to know what these prices are going to do. Also, EIA does not forecast volatility. This relatively flat forecast could be correct on average, with wide swings around the base line. Let's explore why we think prices will likely remain high, by looking at an important market barometer - inventories - which measures the

8

Forecast Energy | Open Energy Information  

Open Energy Info (EERE)

Forecast Energy Forecast Energy Jump to: navigation, search Name Forecast Energy Address 2320 Marinship Way, Suite 300 Place Sausalito, California Zip 94965 Sector Services Product Intelligent Monitoring and Forecasting Services Year founded 2010 Number of employees 11-50 Company Type For profit Website http://www.forecastenergy.net Coordinates 37.865647°, -122.496315° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.865647,"lon":-122.496315,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

9

Solar Energy Market Forecast | Open Energy Information  

Open Energy Info (EERE)

Solar Energy Market Forecast Solar Energy Market Forecast Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar Energy Market Forecast Agency/Company /Organization: United States Department of Energy Sector: Energy Focus Area: Solar Topics: Market analysis, Technology characterizations Resource Type: Publications Website: giffords.house.gov/DOE%20Perspective%20on%20Solar%20Market%20Evolution References: Solar Energy Market Forecast[1] Summary " Energy markets / forecasts DOE Solar America Initiative overview Capital market investments in solar Solar photovoltaic (PV) sector overview PV prices and costs PV market evolution Market evolution considerations Balance of system costs Silicon 'normalization' Solar system value drivers Solar market forecast Additional resources"

10

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Download Adobe Acrobat Reader Printer friendly version on our site are provided in Adobe Acrobat Spreadsheets are provided in Excel Actual vs. Forecasts Formats Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF Table 12. World Oil Prices Excel, PDF Table 13. Natural Gas Wellhead Prices

11

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Highlights Highlights World energy consumption is projected to increase by 57 percent from 2002 to 2025. Much of the growth in worldwide energy use in the IEO2005 reference case forecast is expected in the countries with emerging economies. Figure 1. World Marketed Energy Consumptiion by Region, 1970-2025. Need help, contact the National Energy Information Center at 202-586-8800. Figure Data In the International Energy Outlook 2005 (IEO2005) reference case, world marketed energy consumption is projected to increase on average by 2.0 percent per year over the 23-year forecast horizon from 2002 to 2025—slightly lower than the 2.2-percent average annual growth rate from 1970 to 2002. Worldwide, total energy use is projected to grow from 412 quadrillion British thermal units (Btu) in 2002 to 553 quadrillion Btu in

12

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST Volume 2: Electricity Demand Robert P. Oglesby Executive Director #12;i ACKNOWLEDGEMENTS The demand forecast is the combined prepared the commercial sector forecast. Mehrzad Soltani Nia helped prepare the industrial forecast

13

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation by Susan H. Holte In this paper, the Office of Integrated Analysis and Forecasting (OIAF) of the Energy Information Administration (EIA) evaluates the projections published in the Annual Energy Outlook (AEO), (1) by comparing the projections from the Annual Energy Outlook 1982 through the Annual Energy Outlook 2001 with actual historical values. A set of major consumption, production, net import, price, economic, and carbon dioxide emissions variables are included in the evaluation, updating similar papers from previous years. These evaluations also present the reasons and rationales for significant differences. The Office of Integrated Analysis and Forecasting has been providing an

14

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by Esmeralda Sánchez The Office of Integrated Analysis and Forecasting has produced an annual evaluation of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and the most recent historical year of data. The Forecast Evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute forecast errors for each of the major variables for AEO82 through AEO2003. The average absolute forecast error, which for the purpose of this report will also be referred to simply as "average error" or "forecast error", is computed as the simple mean, or average, of all the absolute values of the percent errors,

15

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by Esmeralda Sanchez by Esmeralda Sanchez Errata -(7/14/04) The Office of Integrated Analysis and Forecasting has produced an annual evaluation of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and the most recent historical year of data. The Forecast Evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute forecast errors for each of the major variables for AEO82 through AEO2003. The average absolute forecast error, which for the purpose of this report will also be referred to simply as "average error" or "forecast error", is computed as the simple mean, or average, of all the absolute values of the percent errors, expressed as the percentage difference between the Reference Case projection and actual historic value, shown for every AEO and for each year in the forecast horizon (for a given variable). The historical data are typically taken from the Annual Energy Review (AER). The last column of Table 1 provides a summary of the most recent average absolute forecast errors. The calculation of the forecast error is shown in more detail in Tables 2 through 18. Because data for coal prices to electric generating plants were not available from the AER, data from the Monthly Energy Review (MER), July 2003 were used.

16

Annual Energy Outlook 2001 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Economic Growth World Oil Prices Total Energy Consumption Residential and Commercial Sectors Industrial Sector Transportation Sector Electricity Natural Gas Petroleum Coal Three other organizations—Standard & Poor’s DRI (DRI), the WEFA Group (WEFA), and the Gas Research Institute (GRI) [95]—also produce comprehensive energy projections with a time horizon similar to that of AEO2001. The most recent projections from those organizations (DRI, Spring/Summer 2000; WEFA, 1st Quarter 2000; GRI, January 2000), as well as other forecasts that concentrate on petroleum, natural gas, and international oil markets, are compared here with the AEO2001 projections. Economic Growth Differences in long-run economic forecasts can be traced primarily to

17

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Title of Paper Annual Energy Outlook Forecast Evaluation Title of Paper Annual Energy Outlook Forecast Evaluation by Susan H. Holte OIAF has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: Natural gas has generally been the fuel with the least accurate forecasts of consumption, production, and prices. Natural gas was the last fossil fuel to be deregulated following the strong regulation of energy markets in the 1970s and early 1980s. Even after deregulation, the behavior

18

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST Volume 2: Electricity Demand The demand forecast is the combined product of the hard work and expertise of numerous California Energy previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad Soltani Nia helped prepare

19

Energy conservation and official UK energy forecasts  

SciTech Connect

Behind the latest United Kingdom (UK) official forecasts of energy demand are implicit assumptions about future energy-price elasticities. Mr. Pearce examines the basis of the forecasts and finds that the long-term energy-price elasticities that they imply are two or three times too low. The official forecasts substantially understate the responsiveness of demand to energy price rises. If more-realistic price elasticities were assumed, the official forecasts would imply a zero primary energy-demand growth to 2000. This raises the interesting possibility of a low energy future being brought about entirely by market forces. 15 references, 3 tables.

Pearce, D.

1980-09-01T23:59:59.000Z

20

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation Actual vs. Forecasts Available formats Excel (.xls) for printable spreadsheet data (Microsoft Excel required) PDF (Acrobat Reader required) Table 2. Total Energy Consumption HTML, Excel, PDF Table 3. Total Petroleum Consumption HTML, Excel, PDF Table 4. Total Natural Gas Consumption HTML, Excel, PDF Table 5. Total Coal Consumption HTML, Excel, PDF Table 6. Total Electricity Sales HTML, Excel, PDF Table 7. Crude Oil Production HTML, Excel, PDF Table 8. Natural Gas Production HTML, Excel, PDF Table 9. Coal Production HTML, Excel, PDF Table 10. Net Petroleum Imports HTML, Excel, PDF Table 11. Net Natural Gas Imports HTML, Excel, PDF Table 12. Net Coal Exports HTML, Excel, PDF Table 13. World Oil Prices HTML, Excel, PDF

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Evaluation of errors in national energy forecasts.  

E-Print Network (OSTI)

??Energy forecasts are widely used by the U.S. government, politicians, think tanks, and utility companies. While short-term forecasts were reasonably accurate, medium and long-range forecasts (more)

Sakva, Denys

2005-01-01T23:59:59.000Z

22

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 2: Electricity Demand.Oglesby Executive Director #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product to the contributing authors listed previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad

23

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Electricity Electricity Electricity consumption nearly doubles in the IEO2005 projection period. The emerging economies of Asia are expected to lead the increase in world electricity use. Figure 58. World Net Electricity Consumption, 2002-2025 (Billion Kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 59. World Net Electricity Consumption by Region, 2002-2025 (Billion Kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data The International Energy Outlook 2005 (IEO2005) reference case projects that world net electricity consumption will nearly double over the next two decades.10 Over the forecast period, world electricity demand is projected to grow at an average rate of 2.6 percent per year, from 14,275 billion

24

International Energy Outlook 2001 - World Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

World Energy Consumption World Energy Consumption picture of a printer Printer Friendly Version (PDF) This report presents international energy projections through 2020, prepared by the Energy Information Administration, including outlooks for major energy fuels and issues related to electricity, transportation, and the environment. The International Energy Outlook 2001 (IEO2001) presents the Energy Information Administration (EIA) outlook for world energy markets to 2020. Current trends in world energy markets are discussed in this chapter, followed by a presentation of the IEO2001 projections for energy consumption by primary energy source and for carbon emissions by fossil fuel. Uncertainty in the forecast is highlighted by an examination of alternative assumptions about economic growth and their impacts on the

25

Annual Energy Outlook with Projections to 2025-Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Annual Energy Outlook 2004 with Projections to 2025 Forecast Comparisons Index (click to jump links) Economic Growth World Oil Prices Total Energy Consumption Electricity Natural Gas Petroleum Coal The AEO2004 forecast period extends through 2025. One other organization—Global Insight, Incorporated (GII)—produces a comprehensive energy projection with a similar time horizon. Several others provide forecasts that address one or more aspects of energy markets over different time horizons. Recent projections from GII and others are compared here with the AEO2004 projections. Economic Growth Printer Friendly Version Average annual percentage growth Forecast 2002-2008 2002-2013 2002-2025 AEO2003 3.2 3.3 3.1 AEO2004 Reference 3.3 3.2 3.0

26

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by by Esmeralda Sanchez The Office of Integrated Analysis and Forecasting has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: * Over the last two decades, there have been many significant changes in laws, policies, and regulations that could not have been anticipated and were not assumed in the projections prior to their implementation. Many of these actions have had significant impacts on energy supply, demand, and prices; however, the

27

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 1: Statewide Electricity forecast is the combined product of the hard work and expertise of numerous staff members in the Demand the commercial sector forecast. Mehrzad Soltani Nia helped prepare the industrial forecast. Miguel Garcia

28

Building Energy Software Tools Directory: Energy Usage Forecasts  

NLE Websites -- All DOE Office Websites (Extended Search)

Alphabetically Tools by Platform PC Mac UNIX Internet Tools by Country Related Links Energy Usage Forecasts Energy Usage Forecasts Quick and easy web-based tool that provides...

29

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation Analysis Papers > Annual Energy Outlook Forecast Evaluation Release Date: February 2005 Next Release Date: February 2006 Printer-friendly version Annual Energy Outlook Forecast Evaluation* Table 1.Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations Printer Friendly Version Average Absolute Percent Error Variable AEO82 to AEO99 AEO82 to AEO2000 AEO82 to AEO2001 AEO82 to AEO2002 AEO82 to AEO2003 AEO82 to AEO2004 Consumption Total Energy Consumption 1.9 2.0 2.1 2.1 2.1 2.1 Total Petroleum Consumption 2.9 3.0 3.1 3.1 3.0 2.9 Total Natural Gas Consumption 7.3 7.1 7.1 6.7 6.4 6.5 Total Coal Consumption 3.1 3.3 3.5 3.6 3.7 3.8 Total Electricity Sales 1.9 2.0 2.3 2.3 2.3 2.4 Production Crude Oil Production 4.5 4.5 4.5 4.5 4.6 4.7

30

Annual Energy Outlook Forecast Evaluation-Table 1  

Annual Energy Outlook 2012 (EIA)

Annual Energy Outlook Forecast Evaluation > Table 1 Annual Energy Outlook Forecast Evaluation Table 1. Comparison of Absolute Percent Errors for AEO Forecast Evaluation, 1996 to...

31

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption by End-Use Sector Energy Consumption by End-Use Sector In the IEO2005 projections, end-use energy consumption in the residential, commercial, industrial, and transportation sectors varies widely among regions and from country to country. One way of looking at the future of world energy markets is to consider trends in energy consumption at the end-use sector level. With the exception of the transportation sector, which is almost universally dominated by petroleum products at present, the mix of energy use in the residential, commercial, and industrial sectors can vary widely from country to country, depending on a combination of regional factors, such as the availability of energy resources, the level of economic development, and political, social, and demographic factors. This chapter outlines the International Energy Outlook 2005 (IEO2005) forecast for regional energy consumption by end-use sector.

32

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Evaluation Evaluation Annual Energy Outlook Forecast Evaluation by Esmeralda Sanchez The Office of Integrated Analysis and Forecasting has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: Over the last two decades, there have been many significant changes in laws, policies, and regulations that could not have been anticipated and were not assumed in the projections prior to their implementation. Many of these actions have had significant impacts on energy supply, demand, and prices; however, the impacts were not incorporated in the AEO projections until their enactment or effective dates in accordance with EIA's requirement to remain policy neutral and include only current laws and regulations in the AEO reference case projections.

33

Navy mobility fuels forecasting system report: World petroleum trade forecasts for the year 2000  

Science Conference Proceedings (OSTI)

The Middle East will continue to play the dominant role of a petroleum supplier in the world oil market in the year 2000, according to business-as-usual forecasts published by the US Department of Energy. However, interesting trade patterns will emerge as a result of the democratization in the Soviet Union and Eastern Europe. US petroleum imports will increase from 46% in 1989 to 49% in 2000. A significantly higher level of US petroleum imports (principally products) will be coming from Japan, the Soviet Union, and Eastern Europe. Several regions, the Far East, Japan, Latin American, and Africa will import more petroleum. Much uncertainty remains about of the level future Soviet crude oil production. USSR net petroleum exports will decrease; however, the United States and Canada will receive some of their imports from the Soviet Union due to changes in the world trade patterns. The Soviet Union can avoid becoming a net petroleum importer as long as it (1) maintains enough crude oil production to meet its own consumption and (2) maintains its existing refining capacities. Eastern Europe will import approximately 50% of its crude oil from the Middle East.

Das, S.

1991-12-01T23:59:59.000Z

34

Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) | Open  

Open Energy Info (EERE)

Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Agency/Company /Organization: Energy Sector Management Assistance Program of the World Bank Sector: Energy Focus Area: Non-renewable Energy Topics: Baseline projection, Co-benefits assessment, GHG inventory Resource Type: Software/modeling tools User Interface: Spreadsheet Complexity/Ease of Use: Simple Website: www.esmap.org/esmap/EFFECT Cost: Free Equivalent URI: www.esmap.org/esmap/EFFECT Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Screenshot

35

Forecasting for energy and chemical decision analysis  

SciTech Connect

This paper focuses on uncertainty and bias in forecasts used for major energy and chemical investment decisions. Probability methods for characterizing uncertainty in the forecast are reviewed. Sources of forecasting bias are classified based on the results of relevant psychology research. Examples are drawn from the energy and chemical industry to illustrate the value of explicit characterization of uncertainty and reduction of bias in forecasts.

Cazalet, E.G.

1984-08-01T23:59:59.000Z

36

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Contacts Contacts The International Energy Outlook is prepared by the Energy Information Administration (EIA). General questions concerning the contents of the report should be referred to John J. Conti (john.conti@eia.doe.gov, 202-586-2222), Director, Office of Integrated Analysis and Forecasting. Specific questions about the report should be referred to Linda E. Doman (202/586-1041) or the following analysts: World Energy and Economic Outlook Linda Doman (linda.doman@eia.doe.gov, 202-586-1041) Macroeconomic Assumptions Nasir Khilji (nasir.khilji@eia.doe.gov, 202-586-1294) Energy Consumption by End-Use Sector Residential Energy Use John Cymbalsky (john.cymbalsky@eia.doe.gov, 202-586-4815) Commercial Energy Use Erin Boedecker (erin.boedecker@eia.doe.gov, 202-586-4791)

37

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 2014­2024 FINAL FORECAST Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard work to the contributing authors listed previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad

38

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 2014­2024 REVISED FORECAST Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard work listed previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad Soltani Nia helped

39

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network (OSTI)

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 2: Electricity Demand by Utility ACKNOWLEDGEMENTS The staff demand forecast is the combined product of the hard work and expertise of numerous, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad Soltani Nia helped prepare

40

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network (OSTI)

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The staff demand forecast is the combined product of the hard work listed previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad Soltani Nia helped

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Natural Gas Natural gas is the fastest growing primary energy source in the IEO2005 forecast. Consumption of natural gas is projected to increase by nearly 70 percent between 2002 and 2025, with the most robust growth in demand expected among the emerging economies. Figure 34. World Natural Gas Consumption, 1980-2025 (Trillion Cubic Feet). Need help, contact the National Energy Information Center on 202-586-8800. Figure Data Figure 35. Natural Gas Consumption by Region, 1980-2025 (Trillion Cubic Feet). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 36. Increase in Natural Gas Consumption by Region and Country, 2002-2025. Need help, contact the National Energy Information Center at 202-586-8800. Figure Data

42

The World Energy Projection System April 2001  

Gasoline and Diesel Fuel Update (EIA)

The World Energy Projection System April 2001 The World Energy Projection System April 2001 Gasoline and Diesel Fuel Updates April 20, 2001 (Next Release: April, 2002) Related Links To Forecasting Home Page EIA Homepage Printer Friendly Version Continuing with this release, annual updates to the model will be available. Check this space for scheduled future releases. Note: If you are familiar with the model and just wish to download the latest version, click HERE. The World Energy Projection System The projections of world energy consumption published annually by the Energy Information Administration (EIA) in the International Energy Outlook (IEO) are derived from the World Energy Projection System (WEPS). WEPS is an integrated set of personal computer-based spreadsheets containing data compilations, assumption specifications, descriptive analysis procedures,

43

CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST Demand Forecast report is the product of the efforts of many current and former California Energy Commission staff. Staff contributors to the current forecast are: Project Management and Technical Direction

44

Wind Energy Forecasting Technology Update: 2004  

Science Conference Proceedings (OSTI)

This report describes the status of wind energy forecasting technology for predicting wind speed and energy generation of wind energy facilities short-term (minutes to hours), intermediate-term (hours to days), and long-term (months to years) average wind speed and energy generation. The information should be useful to companies that are evaluating or planning to incorporate wind energy forecasting into their operations.

2005-04-26T23:59:59.000Z

45

Building Energy Software Tools Directory: Energy Usage Forecasts  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy Usage Forecasts Energy Usage Forecasts Energy Usage Forecasts Quick and easy web-based tool that provides free 14-day ahead energy usage forecasts based on the degree day forecasts for 1,200 stations in the U.S. and Canada. The user enters the daily non-weather base load and the usage per degree day weather factor; the tool applies the degree day forecast and displays the total energy usage forecast. Helpful FAQs explain the process and describe various options for the calculation of the base load and weather factor. Historical degree day reports and 14-day ahead degree day forecasts are available from the same site. Keywords degree days, historical weather, mean daily temperature, load calculation, energy simulation Validation/Testing Degree day data provided by AccuWeather.com, updated daily at 0700.

46

The Complex Relationship between Forecast Skill and Forecast Value: A Real-World Analysis  

Science Conference Proceedings (OSTI)

For routine forecasts of temperature and precipitation, the relative skill advantage of human forecasters with respect to the numericalstatistical guidance is small (and diminishing). Since the relationship between forecast skill and the value ...

Paul J. Roebber; Lance F. Bosart

1996-12-01T23:59:59.000Z

47

energy data + forecasting | OpenEI Community  

Open Energy Info (EERE)

energy data + forecasting 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 formulating policies and energy plans based on easy to use forecasting tools, visualizations, sankey diagrams, and open data. The platform will live on OpenEI and this community was established to initiate discussion around continuous development of this tool, integrating it with new datasets, and connecting with the community of users who will want to contribute data to the tool and use the tool for planning purposes. Links: FRED beta demo energy data + forecasting Syndicate content 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2084382122

48

Annual Energy Outlook Forecast Evaluation 2005  

Gasoline and Diesel Fuel Update (EIA)

Forecast Evaluation 2005 Forecast Evaluation 2005 Annual Energy Outlook Forecast Evaluation 2005 Annual Energy Outlook Forecast Evaluation 2005 * Then Energy Information Administration (EIA) produces projections of energy supply and demand each year in the Annual Energy Outlook (AEO). The projections in the AEO are not statements of what will happen but of what might happen, given the assumptions and methodologies used. The projections are business-as-usual trend projections, given known technology, technological and demographic trends, and current laws and regulations. Thus, they provide a policy-neutral reference case that can be used to analyze policy initiatives. EIA does not propose or advocate future legislative and regulatory changes. All laws are assumed to remain as currently enacted; however, the impacts of emerging regulatory changes, when defined, are reflected.

49

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Oil Markets Oil Markets IEO2005 projects that world crude oil prices in real 2003 dollars will decline from their current level by 2010, then rise gradually through 2025. In the International Energy Outlook 2005 (IEO2005) reference case, world demand for crude oil grows from 78 million barrels per day in 2002 to 103 million barrels per day in 2015 and to just over 119 million barrels per day in 2025. Much of the growth in oil consumption is projected for the emerging Asian nations, where strong economic growth results in a robust increase in oil demand. Emerging Asia (including China and India) accounts for 45 percent of the total world increase in oil use over the forecast period in the IEO2005 reference case. The projected increase in world oil demand would require an increment to world production capability of more than 42 million barrels per day relative to the 2002 crude oil production capacity of 80.0 million barrels per day. Producers in the Organization of Petroleum Exporting Countries (OPEC) are expected to be the major source of production increases. In addition, non-OPEC supply is expected to remain highly competitive, with major increments to supply coming from offshore resources, especially in the Caspian Basin, Latin America, and deepwater West Africa. The estimates of incremental production are based on current proved reserves and a country-by-country assessment of ultimately recoverable petroleum. In the IEO2005 oil price cases, the substantial investment capital required to produce the incremental volumes is assumed to exist, and the investors are expected to receive at least a 10-percent return on investment.

50

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Modeling and Analysis Papers> Annual Energy Outlook Forecast Evaluation>Tables Modeling and Analysis Papers> Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Actual vs. Forecasts Available formats Excel (.xls) for printable spreadsheet data (Microsoft Excel required) MS Excel Viewer PDF (Acrobat Reader required Download Acrobat Reader ) Adobe Acrobat Reader Logo Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF

51

Annual Energy Outlook Forecast Evaluation 2004  

Gasoline and Diesel Fuel Update (EIA)

2004 2004 * The Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) has produced annual evaluations of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and replacing the historical year of data with the most recent. The forecast evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute percent errors for several of the major variables for AEO82 through AEO2004. (There is no report titled Annual Energy Outlook 1988 due to a change in the naming convention of the AEOs.) The average absolute percent error is the simple mean of the absolute values of the percentage difference between the Reference Case projection and the

52

World Energy Outlook 2008  

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

OECD/IEA - OECD/IEA - 2008 © OECD/IEA - 2008 © OECD/IEA - 2008 To Cover... To Cover To Cover ... ... Transport Energy and CO 2 Where are we going? What are the dangers? How do we change direction? Primarily reporting on: IEA WEO 2008 IEA ETP 2008 On-going work with IEA's Mobility Model One or two detours to talk about modelling © OECD/IEA - 2008 0 2 000 4 000 6 000 8 000 10 000 12 000 14 000 16 000 18 000 1980 1990 2000 2010 2020 2030 Mtoe Other renewables Hydro Nuclear Biomass Gas Coal Oil World energy demand expands by 45% between now and 2030 - an average rate of increase of 1.6% per year - with coal accounting for more than a third of the overall rise Where are we headed? World Energy Outlook 2008 Where are we headed? World Energy Outlook Where are we headed? World Energy Outlook

53

Mathematical and computer modelling reports: Modeling and forecasting energy markets with the intermediate future forecasting system  

Science Conference Proceedings (OSTI)

This paper describes the Intermediate Future Forecasting System (IFFS), which is the model used to forecast integrated energy markets by the U.S. Energy Information Administration. The model contains representations of supply and demand for all of the ...

Frederic H. Murphy; John J. Conti; Susan H. Shaw; Reginald Sanders

1989-09-01T23:59:59.000Z

54

World energy consumption  

Science Conference Proceedings (OSTI)

Historical and projected world energy consumption information is displayed. The information is presented by region and fuel type, and includes a world total. Measurements are in quadrillion Btu. Sources of the information contained in the table are: (1) history--Energy Information Administration (EIA), International Energy Annual 1992, DOE/EIA-0219(92); (2) projections--EIA, World Energy Projections System, 1994. Country amounts include an adjustment to account for electricity trade. Regions or country groups are shown as follows: (1) Organization for Economic Cooperation and Development (OECD), US (not including US territories), which are included in other (ECD), Canada, Japan, OECD Europe, United Kingdom, France, Germany, Italy, Netherlands, other Europe, and other OECD; (2) Eurasia--China, former Soviet Union, eastern Europe; (3) rest of world--Organization of Petroleum Exporting Countries (OPEC) and other countries not included in any other group. Fuel types include oil, natural gas, coal, nuclear, and other. Other includes hydroelectricity, geothermal, solar, biomass, wind, and other renewable sources.

NONE

1995-12-01T23:59:59.000Z

55

TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY POLICY AND TRANSPORTATION DIVISION B.B. Blevins Executive Director DISCLAIMER This report was prepared by a California has developed longterm forecasts of transportation energy demand as well as projected ranges

56

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST forecast is the combined product of the hard work and expertise of numerous staff members in the Demand prepared the residential sector forecast. Mohsen Abrishami prepared the commercial sector forecast. Lynn

57

Price and Load Forecasting in Volatile Energy Markets  

Science Conference Proceedings (OSTI)

With daily news stories about wildly fluctuating electricity prices and soaring natural gas prices, forecasters' responsibilities are expanding, visibility is increasing, and pressure exists to produce more frequent forecasts and more kinds of forecasts. The proceedings of EPRI's 13th Forecasting Symposium, held November 13-15 in Nashville, Tennessee, address current forecasting issues and developments, as well as explain the role that forecasters have played in recent events in energy markets.

2001-12-05T23:59:59.000Z

58

Wind World | Open Energy Information  

Open Energy Info (EERE)

World Jump to: navigation, search Name Wind World Place Denmark Sector Wind energy Product WindWorld was a turbine manufacturer that was purchased by NEG Micon in 1998. NEG Micon...

59

Annual Energy Outlook Forecast Evaluation - Table 1. Forecast Evaluations:  

Gasoline and Diesel Fuel Update (EIA)

Average Absolute Percent Errors from AEO Forecast Evaluations: Average Absolute Percent Errors from AEO Forecast Evaluations: 1996 to 2000 Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Variable 1996 Evaluation: AEO82 to AEO93 1997 Evaluation: AEO82 to AEO97 1998 Evaluation: AEO82 to AEO98 1999 Evaluation: AEO82 to AEO99 2000 Evaluation: AEO82 to AEO2000 Consumption Total Energy Consumption 1.8 1.6 1.7 1.7 1.8 Total Petroleum Consumption 3.2 2.8 2.9 2.8 2.9 Total Natural Gas Consumption 6.0 5.8 5.7 5.6 5.6 Total Coal Consumption 2.9 2.7 3.0 3.2 3.3 Total Electricity Sales 1.8 1.6 1.7 1.8 2.0 Production Crude Oil Production 5.1 4.2 4.3 4.5 4.5

60

Future world oil prices: modeling methodologies and summary of recent forecasts  

SciTech Connect

This paper has three main objectives. First, the various methodologies that have been developed to explain historical oil price changes and forecast future price trends are reviewed and summarized. Second, the paper summarizes recent world oil price forecasts, and, then possible, discusses the methodologies used in formulating those forecasts. Third, utilizing conclusions from the reviews of the modeling methodologies and the recent price forecasts, in combination with an assessment of recent and projected oil market trends, oil price projections are given for the time period 1987 to 2022. The paper argues that modeling methodologies have undergone significant evolution during the past decade as modelers increasingly recognize the complex and constantly changing structure of the world oil market. Unfortunately, at this point in time a consensus about the appropriate methodology to use in formulating oil price forecasts is yet to be reached. There is, however, a general movement toward the opinion that both economic and political factors should be considered when making price projections. Likewise, there is no consensus about future oil price trends. Forecasts differ widely. However, in general, forecasts have been adjusted downwardly in recent years. Further, an overall assessment of the forecasts and recent oil market trends suggests that oil prices will remain constant in real terms for the remainder of the 1980s. Real oil prices are expected to increase by between 2 and 3% during the 1990s and beyond. Forecasters are quick to point out, however, that all forecasts are subject to significant uncertainty. 69 references, 3 figures, 10 tables.

Curlee, T.R.

1985-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Forecasting world oil prices: the evolution of modeling methodologies and summary of recent projections  

SciTech Connect

This paper has three main objectives: (1) to review and summarize the varios methodologies that have been developed to explain historical oil price changes and forecast future price trends, (2) to summarize recent world oil price forecasts, and, when possible, discuss the methodologies used in formulating those forecasts, and (3) utilizing conclusions from the reviews of the modeling methodologies and the recent price forecasts, in combination with an assessment of recent and projected oil market trends, to give oil price projections for the time period 1987 to 2022. The paper argues that modeling methodologies have undergone significant evolution during the past decade as modelers increasingly recognize the complex and constantly changing structure of the world oil market. Unfortunately, a consensus about the appropriate methodology to use in formulating oil price forecasts is yet to be reached. There is, however, a general movement toward the opinion that both economic and political factors should be considered when making price projections. Likewise, there is no consensus about future oil price trends. Forecasts differ widely. However, in general, forecasts have been adjusted downwardly in recent years. Further, an overall assessment of the forecasts and recent oil market trends suggests that oil prices will remain constant in real terms for the remainder of the 1980s. Real oil prices are expected to increase by between 2 and 3% during the 1990s and beyond. Forecasters are quick to point out, however, that all forecasts are subject to significant uncertainty. 68 references, 1 figure, 6 tables.

Curlee, T.R.

1985-01-01T23:59:59.000Z

62

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Projection Tables (1990-2025) Projection Tables (1990-2025) Formats All Reference Case Data Projection Tables (1 to 14 complete) Excel PDF Table Title Table A1 World Total Primary Energy Consumption by Region, Reference Case Excel PDF Table A2 World Total Energy Consumption by Region and Fuel, Reference Case Excel PDF Table A3 World Gross Domestic Product (GDP) by Region, Reference Case Excel PDF Table A4 World Oil Consumption by Region, Reference Case Excel PDF Table A5 World Natural Gas Consumption by Region, Reference Case Excel PDF Table A6 World Coal Consumption by Region, Reference Case Excel PDF Table A7 World Nuclear Energy Consumption by Region, Reference Case Excel PDF Table A8 World Consumption of Hydroelectricity and Other Renewable Energy by Region, Reference Case Excel PDF Table A9 World Net Electricity Consumption by Region, Reference Case

63

The Sydney 2000 World Weather Research Programme Forecast Demonstration Project: Overview and Current Status  

Science Conference Proceedings (OSTI)

The first World Weather Research Programme (WWRP) Forecast Demonstration Project (FDP), with a focus on nowcasting, was conducted in Sydney, Australia, from 4 September to 21 November 2000 during a period associated with the Sydney 2000 Olympic ...

T. Keenan; P. Joe; J. Wilson; C. Collier; B. Golding; D. Burgess; P. May; C. Pierce; J. Bally; A. Crook; A. Seed; D. Sills; L. Berry; R. Potts; I. Bell; N. Fox; E. Ebert; M. Eilts; K. O'Loughlin; R. Webb; R. Carbone; K. Browning; R. Roberts; C. Mueller

2003-08-01T23:59:59.000Z

64

PRELIMINARY CALIFORNIA ENERGY DEMAND FORECAST 2012-2022  

E-Print Network (OSTI)

PRELIMINARY CALIFORNIA ENERGY DEMAND FORECAST 2012-2022 AUGUST 2011 CEC-200-2011-011-SD CALIFORNIA or adequacy of the information in this report. #12;i ACKNOWLEDGEMENTS The staff demand forecast forecast. Bryan Alcorn and Mehrzad Soltani Nia prepared the industrial forecast. Miguel Garcia- Cerrutti

65

IEA World Energy Outlook | Open Energy Information  

Open Energy Info (EERE)

IEA World Energy Outlook IEA World Energy Outlook Jump to: navigation, search Tool Summary Name: IEA World Energy Outlook Agency/Company /Organization: International Energy Agency Sector: Energy Focus Area: Conventional Energy, Energy Efficiency, Renewable Energy Topics: Market analysis, Technology characterizations References: World Energy Outlook[1] The 2010 "edition of the World Energy Outlook - the International Energy Agency's flagship publication and leading source of analysis of global energy trends - presents updated projections of energy demand, production, trade and investment, fuel by fuel and region by region to 2035. WEO-2010 includes, for the first time, the result of a new scenario that takes account of the recent commitments that governments have made to

66

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Low Economic Growth Case Projection Tables (1990-2025) Low Economic Growth Case Projection Tables (1990-2025) Formats Low Economic Growth Case Data Projection Tables (1 to 13 complete) Excel PDF Table Title Table C1 World Total Primary Energy Consumption by Region, Low Economic Growth Case Excel PDF Table C2 World Total Energy Consumption by Region and Fuel, Low Economic Growth Case Excel PDF Table C3 World Gross Domestic Product (GDP) by Region, Low Economic Growth Case Excel PDF Table C4 World Oil Consumption by Region, Low Economic Growth Case Excel PDF Table C5 World Natural Cas Consumption by Region, Low Economic Growth Case Excel PDF Table C6 World Coal Consumption by Region, Low Economic Growth Case Excel PDF Table C7 World Nuclear Energy Consumption by Region, Low Economic Growth Case Excel PDF Table C8 World Consumption of Hydroelectricity and Other Renewable Energy by Region, Low Economic Growth Case

67

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

High Economic Growth Case Projection Tables (1990-2025) High Economic Growth Case Projection Tables (1990-2025) Formats High Economic Growth Case Data Projection Tables (1 to 13 complete) Excel PDF Table Title Table B1 World Total Primary Energy Consumption by Region, High Economic Growth Case Excel PDF Table B2 World Total Energy Consumption by Region and Fuel, High Economic Growth Case Excel PDF Table B3 World Gross Domestic Product (GDP) by Region, High Economic Growth Case Excel PDF Table B4 World Oil Consumption by Region, High Economic Growth Case Excel PDF Table B5 World Natural Cas Consumption by Region, High Economic Growth Case Excel PDF Table B6 World Coal Consumption by Region, High Economic Growth Case Excel PDF Table B7 World Nuclear Energy Consumption by Region, High Economic Growth Case Excel PDF Table B8 World Consumption of Hydroelectricity and Other Renewable Energy by Region, High Economic Growth Case

68

OpenEI Community - energy data + forecasting  

Open Energy Info (EERE)

FRED FRED http://en.openei.org/community/group/fred Description: Free Energy Database Tool on OpenEI This is an open source platform for assisting energy decision makers and policy makers in formulating policies and energy plans based on easy to use forecasting tools, visualizations, sankey diagrams, and open data. The platform will live on OpenEI and this community was established to initiate discussion around continuous development of this tool, integrating it with new datasets, and connecting with the community of users who will want to contribute data to the tool and use the tool for planning purposes. energy data + forecasting Fri, 22 Jun 2012 15:30:20 +0000 Dbrodt 34

69

World Energy | Open Energy Information  

Open Energy Info (EERE)

Energy Energy Name World Energy Address 2 Constitution Center Place Boston, Massachusetts Zip 02129 Sector Biofuels Product Provider of biodiesel and biofuels Website http://www.worldenergy.com/ Coordinates 42.3598°, -71.0603° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.3598,"lon":-71.0603,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

70

Annual Energy Outlook 1998 Forecasts  

Gasoline and Diesel Fuel Update (EIA)

EIA Administrator's Press Briefing on the Annual Energy Outlook 1998 (AEO98) Annual Energy Outlook 1998 - Errata as of 3698 Data from the AEO98 Assumptions to the AEO98 (Nat'Gas...

71

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Energy-Related Carbon Dioxide Emissions Energy-Related Carbon Dioxide Emissions In the coming decades, responses to environmental issues could affect patterns of energy use around the world. Actions to limit greenhouse gas emissions could alter the level and composition of energy-related carbon dioxide emissions by energy source. Figure 67. World Carbon Dioxide Emissions by Region, 2002-2025 (Gigawatts). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Carbon dioxide is one of the most prevalent greenhouse gases in the atmosphere. Anthropogenic (human-caused) emissions of carbon dioxide result primarily from the combustion of fossil fuels for energy, and as a result world energy use has emerged at the center of the climate change debate. In the International Energy Outlook 2005 (IEO2005) reference case, world

72

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Coal Coal Although coal use is expected to be displaced by natural gas in some parts of the world, only a slight drop in its share of total energy consumption is projected by 2025. Coal continues to dominate electricity and industrial sector fuel markets in emerging Asia. Figure 50. World Coal Consumption by Region, 1970-2025 (Billion Short Tons). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 51. Coal Share of World Energy Consumption by Sector, 2002, 2015, and 2025 (Percent). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 52. World Recoverable Coal Reserves. Need help, contact the National Energy Information Center at 202-586-8800. Figure Data In the International Energy Outlook 2005 (IEO2005) reference case, world

73

Univariate Modeling and Forecasting of Monthly Energy Demand Time Series  

E-Print Network (OSTI)

in this report. #12;i ABSTRACT These electricity demand forms and instructions ask load-serving entities and Instructions for Electricity Demand Forecasts. California Energy Commission, Electricity Supply Analysis.................................................................................................................................7 Form 1 Historic and Forecast Electricity Demand

Abdel-Aal, Radwan E.

74

Waves Forecasters in World War II (with a Brief Survey of Other Women Meteorologists in World War II)  

Science Conference Proceedings (OSTI)

Out of the nearly 6000 U.S. military officers who were trained to be weather forecasters during World War II, there wore approximately 100 women. They were recruited into the Women Accepted for Volunteer Emergency Service (WAVES) by the U.S. Navy ...

J. M. Lewis

1995-11-01T23:59:59.000Z

75

Wind Energy Forecasting Technology Update: 2006  

Science Conference Proceedings (OSTI)

The worldwide installed wind generation capacity increased by 25 and reached almost 60,000 MW worldwide during 2005. As wind capacity continues to grow and large regional concentrations of wind generation emerge, utilities and regional transmission organizations will increasingly need accurate same-day and next-day forecasts of wind energy generation to dispatch system generation and transmission resource and anticipate rapid changes of wind generation.

2006-12-05T23:59:59.000Z

76

Wind Energy Forecasting Technology Update: 2005  

Science Conference Proceedings (OSTI)

The worldwide installed wind generation capacity increased by 25 and reached almost 60,000 MW worldwide during 2005. As wind capacity continues to grow and large regional concentrations of wind generation emerge, utilities and regional transmission organizations will increasingly need accurate same-day and next-day forecasts of wind energy generation to dispatch system generation and transmission resource and anticipate rapid changes of wind generation. The project objective is to summarize the results o...

2006-03-31T23:59:59.000Z

77

The World Energy Projection System  

Gasoline and Diesel Fuel Update (EIA)

World Energy Projection System World Energy Projection System May 1998 Continuing with this release, annual updates to the model will be available. Check this space for scheduled future releases. Note: If you are familiar with the model and just wish to download the latest version, click HERE. The World Energy Projection System The projections of world energy consumption published annually by the Energy Information Administration (EIA) in the International Energy Outlook (IEO) are derived from the World Energy Projection System (WEPS). WEPS is an integrated set of personal computer-based spreadsheets containing data compilations, assumption specifications, descriptive analysis procedures, and projection models. The WEPS accounting framework incorporates projections from independently documented models and assumptions about the

78

NREL: Energy Analysis - Energy Forecasting and Modeling Staff  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy Forecasting and Modeling Energy Forecasting and Modeling The following includes summary bios of staff expertise and interests in analysis relating to energy economics, energy system planning, risk and uncertainty modeling, and energy infrastructure planning. Team Lead: Nate Blair Administrative Support: Geraly Amador Clayton Barrows Greg Brinkman Brian W Bush Stuart Cohen Carolyn Davidson Paul Denholm Victor Diakov Aron Dobos Easan Drury Kelly Eurek Janine Freeman Marissa Hummon Jennie Jorganson Jordan Macknick Trieu Mai David Mulcahy David Palchak Ben Sigrin Daniel Steinberg Patrick Sullivan Aaron Townsend Laura Vimmerstedt Andrew Weekley Owen Zinaman Photo of Clayton Barrows. Clayton Barrows Postdoctoral Researcher Areas of expertise Power system modeling Primary research interests Power and energy systems

79

Annual Energy Outlook 1998 Forecasts - Preface  

Gasoline and Diesel Fuel Update (EIA)

1998 With Projections to 2020 1998 With Projections to 2020 Annual Energy Outlook 1999 Report will be Available on December 9, 1998 Preface The Annual Energy Outlook 1998 (AEO98) presents midterm forecasts of energy supply, demand, and prices through 2020 prepared by the Energy Information Administration (EIA). The projections are based on results from EIA's National Energy Modeling System (NEMS). The report begins with an “Overview” summarizing the AEO98 reference case. The next section, “Legislation and Regulations,” describes the assumptions made with regard to laws that affect energy markets and discusses evolving legislative and regulatory issues. “Issues in Focus” discusses three current energy issues—electricity restructuring, renewable portfolio standards, and carbon emissions. It is followed by the analysis

80

Short-Term Solar Energy Forecasting Using Wireless Sensor Networks  

E-Print Network (OSTI)

Short-Term Solar Energy Forecasting Using Wireless Sensor Networks Stefan Achleitner, Tao Liu in power output is a major concern and forecasting is, therefore, a top priority. We propose a sensing infrastructure to enable sensing of solar irradiance with application to solar array output forecasting

Cerpa, Alberto E.

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY  

E-Print Network (OSTI)

of future contributions from various emerging transportation fuels and technologies is unknown. PotentiallyCALIFORNIA ENERGY COMMISSION TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY POLICY AND TRANSPORTATION DIVISION B. B. Blevins Executive Director DISCLAIMER This report was prepared by a California

82

ANL Wind Power Forecasting and Electricity Markets | Open Energy  

Open Energy Info (EERE)

ANL Wind Power Forecasting and Electricity Markets ANL Wind Power Forecasting and Electricity Markets Jump to: navigation, search Logo: Wind Power Forecasting and Electricity Markets Name Wind Power Forecasting and Electricity Markets Agency/Company /Organization Argonne National Laboratory Partner Institute for Systems and Computer Engineering of Porto (INESC Porto) in Portugal, Midwest Independent System Operator and Horizon Wind Energy LLC, funded by U.S. Department of Energy Sector Energy Focus Area Wind Topics Pathways analysis, Technology characterizations Resource Type Software/modeling tools Website http://www.dis.anl.gov/project References Argonne National Laboratory: Wind Power Forecasting and Electricity Markets[1] Abstract To improve wind power forecasting and its use in power system and electricity market operations Argonne National Laboratory has assembled a team of experts in wind power forecasting, electricity market modeling, wind farm development, and power system operations.

83

Building Energy Software Tools Directory: Degree Day Forecasts  

NLE Websites -- All DOE Office Websites (Extended Search)

Forecasts Forecasts Degree Day Forecasts example chart Quick and easy web-based tool that provides free 14-day ahead degree day forecasts for 1,200 stations in the U.S. and Canada. Degree Day Forecasts charts show this year, last year and three-year average. Historical degree day charts and energy usage forecasts are available from the same site. Keywords degree days, historical weather, mean daily temperature Validation/Testing Degree day data provided by AccuWeather.com, updated daily at 0700. Expertise Required No special expertise required. Simple to use. Users Over 1,000 weekly users. Audience Anyone who needs degree day forecasts (next 14 days) for the U.S. and Canada. Input Select a weather station (1,200 available) and balance point temperature. Output Charts show (1) degree day (heating and cooling) forecasts for the next 14

84

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

NLE Websites -- All DOE Office Websites (Extended Search)

in advance, allowing grid operators to predict expected wind power production. Accurate weather forecasts are critical for making energy sources -- including wind and solar --...

85

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

The International Energy Outlook 2005 (IEO2005) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2025. U.S. projections appearing in IEO2005 are consistent with those published in EIA's Annual Energy Outlook 2005 (AEO2005), which was prepared using the National Energy Modeling System (NEMS). The International Energy Outlook 2005 (IEO2005) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2025. U.S. projections appearing in IEO2005 are consistent with those published in EIA's Annual Energy Outlook 2005 (AEO2005), which was prepared using the National Energy Modeling System (NEMS). Table of Contents Projection Tables Reference Case High Economic Growth Case Low Economic Growth Case Reference Case Projections by End-Use Sector and Region Projections of Oil Production Capacity and Oil Production in Three Cases Projections of Nuclear Generating Capacity Highlights World Energy and Economic Outlook Outlook for World Energy Consumption World Economic Outlook Alternative Growth Cases

86

Mid-range energy-forecasting system: structure, forecasts, and critique  

SciTech Connect

The Mid-Range Energy Forecasting System (MEFS) is a large-scale, interdisciplinary model of the US energy system maintained by the US Department of Energy. MEFS provides long-run regional forecasts of delivered prices for electricity, coal, gasoline, residual, distillate, and natural gas. A number of sets of MEFS forecasts are usually issued, each set corresponding to a different scenario. Because it forecasts prices and since these forecasts are regularly disseminated, MEFS is of considerable practical interest. A critical guide of the model's output for potential users is provided in this paper. The model's logic is described, the latest forecasts from MEFS are presented, and the reasonableness of both the forecasts and the methodology are critically evaluated. The manner in which MEFS interfaces with the Oil Market Simulation Model, which forecasts crude oil price, is also discussed. The evaluation concludes that while there are serious problems with MEFS, selective use can prove very helpful. 17 references, 1 figure, 2 tables.

DeSouza, G.

1980-01-01T23:59:59.000Z

87

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center  

E-Print Network (OSTI)

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime at wind energy sites are becoming paramount. Regime-switching space-time (RST) models merge meteorological forecast regimes at the wind energy site and fits a conditional predictive model for each regime

Washington at Seattle, University of

88

Material World: Forecasting Household Appliance Ownership in a Growing Global Economy  

SciTech Connect

Over the past years the Lawrence Berkeley National Laboratory (LBNL) has developed an econometric model that predicts appliance ownership at the household level based on macroeconomic variables such as household income (corrected for purchase power parity), electrification, urbanization and climate variables. Hundreds of data points from around the world were collected in order to understand trends in acquisition of new appliances by households, especially in developing countries. The appliances covered by this model are refrigerators, lighting fixtures, air conditioners, washing machines and televisions. The approach followed allows the modeler to construct a bottom-up analysis based at the end use and the household level. It captures the appliance uptake and the saturation effect which will affect the energy demand growth in the residential sector. With this approach, the modeler can also account for stock changes in technology and efficiency as a function of time. This serves two important functions with regard to evaluation of the impact of energy efficiency policies. First, it provides insight into which end uses will be responsible for the largest share of demand growth, and therefore should be policy priorities. Second, it provides a characterization of the rate at which policies affecting new equipment penetrate the appliance stock. Over the past 3 years, this method has been used to support the development of energy demand forecasts at the country, region or global level.

Letschert, Virginie; McNeil, Michael A.

2009-03-23T23:59:59.000Z

89

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

Science Conference Proceedings (OSTI)

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.

Edwards, J.D. [Univ. of Colorado, Boulder, CO (United States)

1997-08-01T23:59:59.000Z

90

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Today's Forecast: Improved Wind Predictions 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 for making energy sources -- including wind and solar -- dependable and predictable. These forecasts also play an important role in reducing the cost of renewable energy by allowing electricity grid operators to make timely decisions on what reserve generation they need to operate their systems.

91

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Today's Forecast: Improved Wind Predictions 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 for making energy sources -- including wind and solar -- dependable and predictable. These forecasts also play an important role in reducing the cost of renewable energy by allowing electricity grid operators to make timely decisions on what reserve generation they need to operate their systems.

92

Commercial nuclear and uranium market forecasts for the United States and the world outside communist areas. Analysis report AR/ES/80-02  

SciTech Connect

Nuclear power forecasts prepared by the Energy Information Administration (EIA) of the United States Department of Energy are presented. The domestic forecasts from the EIA Annual Report to Congress for 1978 (published in July 1979) are detailed for the two time frames considered in the EIA analytical hierarchy: the midterm, encompassing the 1985, 1990, and 1995 milestones and the long term, beyond 1995 to the year 2020. EIA nuclear forecasts for the balance of nations in the World Outside Communist Areas (WOCA) are also presented through the year 2000. In turn, an assessment is made of the uranium consumption requirements implied by both the domestic and WOCA nuclear power forecasts. A discussion is included of appropriate fuel cycle assumptions, sensitivities, and price projections.

Clark, R.G.; Reynolds, A.W.

1980-01-01T23:59:59.000Z

93

The World Energy Projection System  

Gasoline and Diesel Fuel Update (EIA)

wepstitle.gif (8166 bytes) wepstitle.gif (8166 bytes) Continuing with this release, annual updates to the model will be available. Check this space for scheduled future releases. Note: If you are familiar with the model and just wish to download the latest version, click HERE. The World Energy Projection System The projections of world energy consumption published annually by the Energy Information Administration (EIA) in the International Energy Outlook (IEO) are derived from the World Energy Projection System (WEPS). WEPS is an integrated set of personal computer-based spreadsheets containing data compilations, assumption specifications, descriptive analysis procedures, and projection models. The WEPS accounting framework incorporates projections from independently documented models and assumptions about the

94

The World Energy Projection System  

Gasoline and Diesel Fuel Update (EIA)

Continuing with this release, annual updates to the model will be Continuing with this release, annual updates to the model will be available. Check this space for scheduled future releases. Note: If you are familiar with the model and just wish to download the latest version, click HERE. The World Energy Projection System The projections of world energy consumption published annually by the Energy Information Administration (EIA) in the International Energy Outlook (IEO) are derived from the World Energy Projection System (WEPS). WEPS is an integrated set of personal computer-based spreadsheets containing data compilations, assumption specifications, descriptive analysis procedures, and projection models. The WEPS accounting framework incorporates projections from independently documented models and assumptions about the

95

World Energy Projection System model documentation  

SciTech Connect

The World Energy Projection System (WEPS) was developed by the Office of Integrated Analysis and Forecasting within the Energy Information Administration (EIA), the independent statistical and analytical agency of the US Department of Energy. WEPS is an integrated set of personal computer based spreadsheets containing data compilations, assumption specifications, descriptive analysis procedures, and projection models. The WEPS accounting framework incorporates projections from independently documented models and assumptions about the future energy intensity of economic activity (ratios of total energy consumption divided by gross domestic product GDP), and about the rate of incremental energy requirements met by natural gas, coal, and renewable energy sources (hydroelectricity, geothermal, solar, wind, biomass, and other renewable resources). Projections produced by WEPS are published in the annual report, International Energy Outlook. This report documents the structure and procedures incorporated in the 1998 version of the WEPS model. It has been written to provide an overview of the structure of the system and technical details about the operation of each component of the model for persons who wish to know how WEPS projections are produced by EIA.

Hutzler, M.J.; Anderson, A.T.

1997-09-01T23:59:59.000Z

96

Energy forecasting: the troubled past of looking the future  

SciTech Connect

Energy forecasts have hardly been distinguished by their accuracy. Why forecasts go awry, and the impact these prominent tools have, is explored. A brief review of the record is given. Because of their allure, their popularity in he media, and their usefulness as tools in political battles, forecasts have played a significant role so far. The danger is that they represent and enhance a fix 'em up, tinkering approach, to the detriment of more efficient free-market policies.

Kutler, E.

1986-01-01T23:59:59.000Z

97

Wind forecasting objectives for utility schedulers and energy traders  

DOE Green Energy (OSTI)

The wind energy industry and electricity producers can benefit in a number of ways from increased wind forecast accuracy. Higher confidence in the reliability of wind forecasts can help persuade an electric utility to increase the penetration of wind energy into its operating system and to augment the capacity value of wind electric generation. Reliable forecasts can also assist daily energy traders employed by utilities in marketing the available and anticipated wind energy to power pools and other energy users. As the number of utilities with wind energy experience grows, and wind energy penetration levels increase, the need for reliable wind forecasts will likely grow as well. This period of wind energy growth also coincides with advances in computer weather prediction technology that could lead to more accurate wind forecasts. Thus, it is important to identify the type of forecast information needed by utility schedulers and energy traders. This step will help develop approaches to the challenge of wind forecasting that will result in useful products being supplied to utilities or other energy generating entities. This paper presents the objectives, approach, and current findings of a US Department of Energy National Renewable Energy Laboratory (DOE/NREL) initiative to develop useful wind forecasting tools for utilities involved with wind energy generation. The focus of this initiative thus far has been to learn about the needs of prospective utility users. NREL representatives conducted a series of onsite interviews with key utility staff, usually schedulers and research planners, at seven US utilities. The purpose was to ascertain information on actual scheduling and trading procedures, and how utilities could integrate wind forecasting into these activities.

Schwartz, M.N. [National Renewable Energy Lab., Golden, CO (United States); Bailey, B.H. [AWS Scientific, Inc., Albany, NY (United States)

1998-05-01T23:59:59.000Z

98

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

I: System for the Analysis of Global Energy Markets (SAGE) I: System for the Analysis of Global Energy Markets (SAGE) The projections of world energy consumption appearing in this year’s International Energy Outlook (IEO) are based on the Energy Information Administration’s (EIA’s) international energy modeling tool, System for the Analysis of Global Energy markets (SAGE). SAGE is an integrated set of regional models that provide a technology-rich basis for estimating regional energy consumption. For each region, reference case estimates of 42 end-use energy service demands (e.g., car, commercial truck, and heavy truck road travel; residential lighting; steam heat requirements in the paper industry) are developed on the basis of economic and demographic projections. Projections of energy consumption to meet the energy demands are estimated on the basis of each region’s existing energy use patterns, the existing stock of energy-using equipment, and the characteristics of available new technologies, as well as new sources of primary energy supply.

99

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface This report presents international energy projections through 2025, prepared by the Energy Information Administration, including outlooks for major energy fuels and associated carbon dioxide emissions. The International Energy Outlook 2005 (IEO2005) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2025. U.S. projections appearing in IEO2005 are consistent with those published in EIA’s Annual Energy Outlook 2005 (AEO2005), which was prepared using the National Energy Modeling System (NEMS). Although the IEO typically uses the same reference case as the AEO, IEO2005 has adopted the October futures case from AEO2005 as its reference case for the United States. The October futures case, which has an assumption of higher world oil prices than the AEO2005 reference case, now appears to be a more likely projection. The reference case prices will be reconsidered for the next AEO. Based on information available as of July 2005, the AEO2006 reference case will likely reflect world oil prices higher than those in the IEO2005 reference case.

100

World Energy Projection System Plus Model Documentation: World Electricity Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) World Electricity Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

2011-09-29T23:59:59.000Z

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

International Energy Outlook - World Oil Markets  

Gasoline and Diesel Fuel Update (EIA)

World Oil Markets World Oil Markets International Energy Outlook 2004 World Oil Markets In the IEO2004 forecast, OPEC export volumes are expected to more than double while non-OPEC suppliers maintain their edge over OPEC in overall production. Prices are projected to rise gradually through 2025 as the oil resource base is further developed. Throughout most of 2003, crude oil prices remained near the top of the range preferred by producers in the Organization of Petroleum Exporting Countries (OPEC), $22 to $28 per barrel for the OPEC “basket price.” OPEC producers continued to demonstrate disciplined adherence to announced cutbacks in production. Throughout 2003, the upward turn in crude oil prices was brought about by a combination of three factors. First, a general strike against the Chavez regime resulted in a sudden loss of much of Venezuela’s oil exports. Although the other OPEC producers agreed to increase their production capacities to make up for the lost Venezuelan output, the obvious strain on worldwide spare capacity kept prices high. Second, price volatility was exacerbated by internal conflict in Nigeria. Third, prospects for a return to normalcy in the Iraqi oil sector remained uncertain as residual post-war turmoil continued in Iraq.

102

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Table 1. Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations Table 1. Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations Average Absolute Percent Error Variable AEO82 to AEO98 AEO82 to AEO99 AEO82 to AEO2000 AEO82 to AEO2001 AEO82 to AEO2002 AEO82 to AEO2003 Consumption Total Energy Consumption 1.7 1.7 1.8 1.9 1.9 2.1 Total Petroleum Consumption 2.9 2.8 2.9 3.0 2.9 2.9 Total Natural Gas Consumption 5.7 5.6 5.6 5.5 5.5 6.5 Total Coal Consumption 3.0 3.2 3.3 3.5 3.6 3.7 Total Electricity Sales 1.7 1.8 1.9 2.4 2.5 2.4 Production Crude Oil Production 4.3 4.5 4.5 4.5 4.5 4.7 Natural Gas Production 4.8 4.7 4.6 4.6 4.4 4.4 Coal Production 3.6 3.6 3.5 3.7 3.6 3.8 Imports and Exports Net Petroleum Imports 9.5 8.8 8.4 7.9 7.4 7.5 Net Natural Gas Imports 16.7 16.0 15.9 15.8 15.8 15.4

104

International Energy Outlook 2000 - World Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

The IEO2000 projections indicate continued growth in world energy use, including large increases for the developing economies of Asia and South America. Energy resources are thought to be adequate to support the growth expected through 2020. The IEO2000 projections indicate continued growth in world energy use, including large increases for the developing economies of Asia and South America. Energy resources are thought to be adequate to support the growth expected through 2020. Current Trends Influencing World Energy Demand Changing world events and their effects on world energy markets shape the long-term view of trends in energy demand. Several developments in 1999—shifting short-term world oil markets, the recovery of developing Asian markets, and a faster than expected recovery in the economies of the former Soviet Union— are reflected in the projections presented in this year’s International Energy Outlook 2000 (IEO2000). In 1998, oil prices reached 20-year lows as a result of oil surpluses

105

International Energy Outlook 1999 - World Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

world.gif (5615 bytes) world.gif (5615 bytes) The IEO99 projections indicate substantial growth in world energy use,including substantial increases for the developing economies of Asia and South America. Resource availability is not expected to limit the growth of energy markets. In 1998, expectations for economic growth and energy market performance in many areas of the world were dashed. The Asian economic crisis proved to be deeper and more persistent than originally anticipated, and the threat and reality of spillover effects grew through the year. Oil prices crashed. Russia’s economy collapsed. Economic and social problems intensified in energy- exporting countries and in emerging economies of Asia and South America. Deepening recession in Japan made recovery more difficult in Asia

106

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Regional Definitions in the International Energy Outlook 2005 Regional Definitions in the International Energy Outlook 2005 Regular readers of the International Energy Outlook (IEO) will notice that, in this edition, the names used to describe country groupings have been changed. Although the organization of countries within the three major groupings has not changed, the nomenclature used in previous editions to describe the groups— namely, industrialized, EE/FSU, and developing— had become somewhat dated and did not accurately reflect the countries within them. Some analysts have argued that several of the countries in the “developing” group (South Korea and China, for instance) could fairly be called “industrialized” today. IEO2005 World Regions Map. Need help, contact the National Energy Information Center at 202-586-8800.

107

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

J: Regional Definitions J: Regional Definitions Figure J1. Map of the Six Basic Country Groupings. Need help, contact the National Energy Information Center at 202-586-8800. The six basic country groupings used in this report (Figure J1) are defined as follows: Mature Market Economies (15 percent of the 2005 world population): North America—United States, Canada, and Mexico; Western Europe—Austria, Belgium, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, the Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, and the United Kingdom; Mature Market Asia—Japan, Australia, and New Zealand. Transitional Economies (6 percent of the 2005 world population): Eastern Europe (EE)—Albania, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Hungary, Macedonia, Poland, Romania, Serbia and Montenegro,

108

Final Report on California Regional Wind Energy Forecasting Project:Application of NARAC Wind Prediction System  

DOE Green Energy (OSTI)

Wind power is the fastest growing renewable energy technology and electric power source (AWEA, 2004a). This renewable energy has demonstrated its readiness to become a more significant contributor to the electricity supply in the western U.S. and help ease the power shortage (AWEA, 2000). The practical exercise of this alternative energy supply also showed its function in stabilizing electricity prices and reducing the emissions of pollution and greenhouse gases from other natural gas-fired power plants. According to the U.S. Department of Energy (DOE), the world's winds could theoretically supply the equivalent of 5800 quadrillion BTUs of energy each year, which is 15 times current world energy demand (AWEA, 2004b). Archer and Jacobson (2005) also reported an estimation of the global wind energy potential with the magnitude near half of DOE's quote. Wind energy has been widely used in Europe; it currently supplies 20% and 6% of Denmark's and Germany's electric power, respectively, while less than 1% of U.S. electricity is generated from wind (AWEA, 2004a). The production of wind energy in California ({approx}1.2% of total power) is slightly higher than the national average (CEC & EPRI, 2003). With the recently enacted Renewable Portfolio Standards calling for 20% of renewables in California's power generation mix by 2010, the growth of wind energy would become an important resource on the electricity network. Based on recent wind energy research (Roulston et al., 2003), accurate weather forecasting has been recognized as an important factor to further improve the wind energy forecast for effective power management. To this end, UC-Davis (UCD) and LLNL proposed a joint effort through the use of UCD's wind tunnel facility and LLNL's real-time weather forecasting capability to develop an improved regional wind energy forecasting system. The current effort of UC-Davis is aimed at developing a database of wind turbine power curves as a function of wind speed and direction, using its wind tunnel facility at the windmill farm at the Altamont Pass. The main objective of LLNL's involvement is to provide UC-Davis with improved wind forecasts to drive the parameterization scheme of turbine power curves developed from the wind tunnel facility. Another objective of LLNL's effort is to support the windmill farm operation with real-time wind forecasts for the effective energy management. The forecast skill in capturing the situation to meet the cut-in and cutout speed of given turbines would help reduce the operation cost in low and strong wind scenarios, respectively. The main focus of this report is to evaluate the wind forecast errors of LLNL's three-dimensional real-time weather forecast model at the location with the complex terrain. The assessment of weather forecast accuracy would help quantify the source of wind energy forecast errors from the atmospheric forecast model and/or wind-tunnel module for further improvement in the wind energy forecasting system.

Chin, H S

2005-07-26T23:59:59.000Z

109

Sustainable World Capital | Open Energy Information  

Open Energy Info (EERE)

"Sustainable World Capital" Retrieved from "http:en.openei.orgwindex.php?titleSustainableWorldCapital&oldid351925" Categories: Clean Energy Organizations Companies...

110

The Value of Seasonal Climate Forecasts in Managing Energy Resources  

Science Conference Proceedings (OSTI)

Research and interviews with officials of the United States energy industry and a systems analysis of decision making in a natural gas utility lead to the conclusion that seasonal climate forecasts would only have limited value in fine tuning the ...

Edith Brown Weiss

1982-04-01T23:59:59.000Z

111

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model's parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. (Lawrence Berkeley Lab., CA (United States) Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.); Hwang, R. (Lawrence Berkeley Lab., CA (United States))

1992-02-01T23:59:59.000Z

112

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model`s parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. [Lawrence Berkeley Lab., CA (United States)]|[Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics]|[Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.; Hwang, R. [Lawrence Berkeley Lab., CA (United States)

1992-02-01T23:59:59.000Z

113

Cost forecasts: Euyropean International High-Energy Physics facilities - Million Swiss Francs at 1966 prices  

E-Print Network (OSTI)

Cost forecasts: Euyropean International High-Energy Physics facilities - Million Swiss Francs at 1966 prices

ECFA meeting

1966-01-01T23:59:59.000Z

114

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

DOE Green Energy (OSTI)

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

Lantz, E.; Hand, M.

2010-05-01T23:59:59.000Z

115

ClearWorld Now | Open Energy Information  

Open Energy Info (EERE)

ClearWorld Now Jump to: navigation, search Name ClearWorld Now Place Beijing, China Zip 100027 Product China-based operational investment arm of ClearWorld Energy Ltd. References...

116

World Wind Energy Association | Open Energy Information  

Open Energy Info (EERE)

World Wind Energy Association World Wind Energy Association Name World Wind Energy Association Address Charles-de-Gaulle-Str. 5 Place Bonn, Germany Phone number +49 228 369 40 80 Website http://www.wwindea.org/home/in Coordinates 50.71696°, 7.13364° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":50.71696,"lon":7.13364,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

117

Annual Energy Outlook with Projections to 2025 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Annual Energy Outlook 2005 Forecast Comparisons Table 32. Forecasts of annual average economic growth, 2003-2025 Printer Friendly Version Average annual percentage growth Forecast 2003-2009 2003-2014 2003-2025 AEO2004 3.5 3.2 3.0 AEO2005 Reference 3.4 3.3 3.1 Low growth 2.9 2.8 2.5 High growth 4.1 3.9 3.6 GII 3.4 3.2 3.1 OMB 3.6 NA NA CBO 3.5 3.1 NA OEF 3.5 3.5 NA Only one other organization—Global Insight, Incorporated (GII)—produces a comprehensive energy projection with a time horizon similar to that of AEO2005. Other organizations address one or more aspects of the energy markets. The most recent projection from GII, as well as other forecasts that concentrate on economic growth, international oil prices, energy

118

The Societal, Social, and Economic Impacts of the World Weather Research Programme Sydney 2000 Forecast Demonstration Project (WWRP S2000 FDP)  

Science Conference Proceedings (OSTI)

The Sydney 2000 (S2000) Forecast Demonstration Project (FDP) was initiated by the World Meteorological Organization (WMO) World Weather Research Programme (WWRP) to enable the world meteorological community to cooperatively demonstrate advanced ...

Linda Anderson-Berry; Tom Keenan; John Bally; Roger Pielke Jr.; Roy Leigh; David King

2004-02-01T23:59:59.000Z

119

Forecasting the Market Penetration of Energy Conservation Technologies: The Decision Criteria for Choosing a Forecasting Model  

E-Print Network (OSTI)

An important determinant of our energy future is the rate at which energy conservation technologies, once developed, are put into use. At Synergic Resources Corporation, we have adapted and applied a methodology to forecast the use of conservation technologies. This paper briefly discusses the observed patterns of the diffusion of new' technologies and the determinants (both sociological and economic) which have been proposed to explain the variation in the diffusion rates. Existing market penetration models are reviewed and their capability to forecast the use of conservation technologies is assessed using a set of criteria developed for this purpose. The reasoning behind the choice of criteria is discussed. The criteria includes the range of hypothesized influences to market penetration that are incorporated into the models and the applicability of the available parameter estimates. The attributes of our methodology and forecasting model choice (a behavioral lag equation developed by Mathtech, Inc.), are displayed using a list of the judgment criteria. This method was used to forecast the use of electricity conservation technologies in industries located in the Pacific Northwest for the Bonneville Power Administration.

Lang, K.

1982-01-01T23:59:59.000Z

120

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

Reports and Publications (EIA)

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.

Information Center

2010-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

United States energy supply and demand forecasts 1979-1995  

SciTech Connect

Forecasts of U.S. energy supply and demand by fuel type and economic sector, as well as historical background information, are presented. Discussion and results pertaining to the development of current and projected marginal energy costs, and their comparison with market prices, are also presented.

Walton, H.L.

1979-01-01T23:59:59.000Z

122

Green Energy World GmbH | Open Energy Information  

Open Energy Info (EERE)

GmbH Jump to: navigation, search Name Green Energy World GmbH Place Germany Sector Renewable Energy, Solar, Wind energy Product Green Energy World GmbH is a service provider in the...

123

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Nuclear Generating Capacity Data Tables (2002-2025) Formats Projections of Nuclear Generating Capacity Data Tables (1 to 4 complete) Excel PDF Table Title Table F1 World Nuclear...

124

California Regional Wind Energy Forecasting System Development, Vol. 3  

Science Conference Proceedings (OSTI)

The rated capacity of wind generation in California is expected to grow rapidly in the future beyond the approximately 2100 MW in place at the end of 2005. The main drivers are the state's 20 percent Renewable Portfolio Standard requirement in 2010 and the low cost of wind energy relative to other renewable energy sources. As wind is an intermittent generation resource and weather changes can cause large and rapid changes in output, system operators will need accurate and robust wind energy forecasting ...

2006-11-15T23:59:59.000Z

125

World Wind and Water Energy LLC | Open Energy Information  

Open Energy Info (EERE)

World Wind and Water Energy LLC Jump to: navigation, search Name World Wind and Water Energy LLC Place Delaware Sector Wind energy Product Delaware-based company focused on...

126

California Wind Energy Forecasting System Development and Testing Phase 2: 12-Month Testing  

Science Conference Proceedings (OSTI)

This report describes results from the second phase of the California Wind Energy Forecasting System Development and Testing Project.

2003-07-22T23:59:59.000Z

127

International Energy Outlook 2001 - World Oil Markets  

Gasoline and Diesel Fuel Update (EIA)

World Oil Markets World Oil Markets picture of a printer Printer Friendly Version (PDF) In the IEO2001 forecast, periodic production adjustments by OPEC members are not expected to have a significant long-term impact on world oil markets. Prices are projected to rise gradually through 2020 as the oil resource base is expanded. Crude oil prices remained above $25 per barrel in nominal terms for most of 2000 and have been near $30 per barrel in the early months of 2001. Prices were influenced by the disciplined adherence to announced cutbacks in production by members of the Organization of Petroleum Exporting Countries (OPEC). OPEC’s successful market management strategy was an attempt to avoid a repeat of the ultra-low oil price environment of 1998 and early 1999. Three additional factors contributed to the resiliency of oil prices in

128

International Energy Outlook 2006 - World Coal Markets  

Gasoline and Diesel Fuel Update (EIA)

Coal Markets Coal Markets International Energy Outlook 2006 Chapter 5: World Coal Markets In the IEO2006 reference case, world coal consumption nearly doubles from 2003 to 2030, with the non-OECD countries accounting for 81 percent of the increase. Coal’s share of total world energy consumption increases from 24 percent in 2003 to 27 percent in 2030. Figure 48. World Coal Consumption by Region, 1980-2030 (Billion Short Tons). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 49. Coal Share of World energy Consumption by Sector 2003, 2015, and 2030 (Percent). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Table 10. World Recoverable Coal Reserves (Billion Short Tons) Printer friendly version

129

The World Energy Projection System April 2002  

Gasoline and Diesel Fuel Update (EIA)

The World Energy Projection System April 2002 The World Energy Projection System April 2002 Continuing with this release, annual updates to the model will be available. Check this space for scheduled future releases. Note: If you are familiar with the model and just wish to download the latest version, click HERE. The World Energy Projection System The projections of world energy consumption published annually by the Energy Information Administration (EIA) in the International Energy Outlook (IEO) are derived from the World Energy Projection System (WEPS). WEPS is an integrated set of personal computer-based spreadsheets containing data compilations, assumption specifications, descriptive analysis procedures, and projection models. The WEPS accounting framework incorporates projections from independently documented models and assumptions about the

130

ELECTRICITY DEMAND FORECAST COMPARISON REPORT  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION ELECTRICITY DEMAND FORECAST COMPARISON REPORT STAFFREPORT June 2005 ..............................................................................3 Residential Forecast Comparison ..............................................................................................5 Nonresidential Forecast Comparisons

131

International Energy Outlook - World Energy and Economic Outlook  

Gasoline and Diesel Fuel Update (EIA)

World Energy and Economic Outlook World Energy and Economic Outlook International Energy Outlook 2004 World Energy and Economic Outlook The IEO2004 projections indicate continued growth in world energy use, including large increases for the developing economies of Asia. Energy resources are thought to be adequate to support the growth expected through 2025. Figure 12. World Primary Energy Consumption, 1970-2025. Need help, call the National Energy Information Center at 202-586-8800 Figure Data Figure 13. World Energy Consumption by Region, 1970-2025. Need help, call the National Energy Information Center at 202-586-8800. Figure Data Figure 14. World Primary Energy Consumption by Energy Source, 1970-2025. Need help, call the National Energy Information Center at 202-586-8800. Figure Data

132

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

G: Key Assumptions for the IEO2005 Kyoto Protocol Case G: Key Assumptions for the IEO2005 Kyoto Protocol Case Energy-Related Emissions of Greenhouse Gases The System for the Analysis of Global energy Markets (SAGE)—the model used by the Energy Information Administration (EIA) to prepare the International Energy Outlook 2005 (IEO2005) mid-term projections—does not include non-energy-related emissions of greenhouse gases, which are estimated at about 15 to 20 percent of total greenhouse gas emissions, based on inventories submitted to the United Nations Framework Convention on Climate Change (UNFCCC). SAGE models global energy supply and demand and, therefore, does not address agricultural and other non-energy-related emissions. EIA implicitly assumes that percentage reductions of non-energy-related emissions and their associated abatement costs will be similar to those for energy-related emissions. Non-energy-related greenhouse gas emissions are likely to grow faster than energy-related emissions; however, the marginal abatement costs for non-energy-related greenhouse gas emissions are not known and cannot be estimated reliably. In SAGE, each region’s emissions reduction goal under the Kyoto Protocol is based only on the corresponding estimate of that region’s energy-related carbon dioxide emissions, as determined by EIA data. It is assumed that the required reductions will also be proportionately less than if all gases were included.

133

Emerging challenges in wind energy forecasting for Australia  

E-Print Network (OSTI)

Growing concern about climate change has led to significant interest in renewable energy resources such as wind energy. However, such non-storable energy sources present a significant issue how to maintain continuity of supply in the event of possible disturbances to power production. For example, in the case of wind energy, such disturbances can result from extreme weather events due to frontal systems or rapidly evolving low pressure systems. Such events cannot be avoided, but if they can be accurately forecast, their impact can be minimized by ensuring that alternative sources are available to make up any power shortfalls. Thus as wind energy makes up an ever greater component of our energy supply, there is greater interest in developing models to produce accurate, local scale, wind-focused forecasts for wind farm sites that push the boundaries of current weather prediction techniques. In this article we present a case study focusing on the Woolnorth wind farm on the northwest tip of Tasmania, to highlight some of the key challenges that will be involved in developing such forecasts.

Merlinde J. Kay; Nicholas Cutler; Adam Micolich; Iain Macgill; Hugh Outhred Centre For Energy; Environmental Markets; South Wales

2008-01-01T23:59:59.000Z

134

Energy Department Applauds Worlds First Fuel Cell and Hydrogen Energy Station in Orange County  

Energy.gov (U.S. Department of Energy (DOE))

Washington, D.C. The U.S. Department of Energy today issued the following statement in support of the commissioning of the worlds first tri-generation fuel cell and hydrogen energy station to...

135

Annual Energy Outlook 2006 with Projections to 2030 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Annual Energy Outlook 2006 with Projections to 2030 Only GII produces a comprehensive energy projection with a time horizon similar to that of AEO2006. Other organizations address one or more aspects of the energy markets. The most recent projection from GII, as well as others that concentrate on economic growth, international oil prices, energy consumption, electricity, natural gas, petroleum, and coal, are compared here with the AEO2006 projections. Economic Growth In the AEO2006 reference case, the projected growth in real GDP, based on 2000 chain-weighted dollars, is 3.0 percent per year from 2004 to 2030 (Table 19). For the period from 2004 to 2025, real GDP growth in the AEO2006 reference case is similar to the average annual growth projected in AEO2005. The AEO2006 projections of economic growth are based on the August short-term forecast of GII, extended by EIA through 2030 and modified to reflect EIA’s view on energy prices, demand, and production.

136

Comparison of Bottom-Up and Top-Down Forecasts: Vision Industry Energy Forecasts with ITEMS and NEMS  

E-Print Network (OSTI)

Comparisons are made of energy forecasts using results from the Industrial module of the National Energy Modeling System (NEMS) and an industrial economic-engineering model called the Industrial Technology and Energy Modeling System (ITEMS), a model developed for industrial energy analysis at the Pacific Northwest National Laboratory. Although the results are mixed, generally ITEMS show greater penetration of energy efficient technologies and thus lower energy use, even though the business as usual forecasts for ITEMS uses a higher discount rate than NEMS uses.

Roop, J. M.; Dahowski, R. T

2000-04-01T23:59:59.000Z

137

World Energy Alternatives LLC | Open Energy Information  

Open Energy Info (EERE)

Alternatives LLC Alternatives LLC Jump to: navigation, search Name World Energy Alternatives LLC Place Chelsea, Massachusetts Zip 2150 Sector Biofuels Product Supplier of biodiesel, biodiesel blends and biofuels. Coordinates 51.490139°, -0.16248° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":51.490139,"lon":-0.16248,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

138

EIA - International Energy Outlook 2009-World Energy Demand and Economic  

Gasoline and Diesel Fuel Update (EIA)

World Energy and Economic Outlook World Energy and Economic Outlook International Energy Outlook 2009 Chapter 1 - World Energy Demand and Economic Outlook In the IEO2009 projections, total world consumption of marketed energy is projected to increase by 44 percent from 2006 to 2030. The largest projected increase in energy demand is for the non-OECD economies. Figure 10. World Marketed Energy Consumption, 1980-2030 (Quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 11. World Marketed Energy Consumption: OECD and Non-OECD, 1980-2030 (Quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 12. Marketed Energy Use by Region, 1990-2030 (Quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800.

139

EIA - International Energy Outlook 2007 - World Energy and Economic Outlook  

Gasoline and Diesel Fuel Update (EIA)

World Energy and Economic Outlook World Energy and Economic Outlook International Energy Outlook 2007 Chapter 1 - World Energy and Economic Outlook In the IEO2007 reference case, total world consumption of marketed energy is projected to increase by 57 percent from 2004 to 2030. The largest projected increase in energy demand is for the non-OECD region. Figure 8. World Marketed Energy Consumption, 1980-2030 (Quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 9. World Marketed Energy Use; OECD and Non-OECD, 2004-2030 (Quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 10. Marketed Energy Use in the NON-OECD Economies by Region, 1980-2030 (Quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800.

140

EIA - International Energy Outlook 2008-World Energy Demand and Economic  

Gasoline and Diesel Fuel Update (EIA)

World Energy and Economic Outlook World Energy and Economic Outlook International Energy Outlook 2008 Chapter 1 - World Energy Demand and Economic Outlook In the IEO2008 projections, total world consumption of marketed energy is projected to increase by 50 percent from 2005 to 2030. The largest projected increase in energy demand is for the non-OECD economies. Figure 9. World Marketed EnergyConsumption, 1980-2030 (Quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 10. World Marketed Energy Consumption: OECD and Non-OECD, 1980-2030 (Quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 11. Marketed Energy Use in the Non-OECD Economies by Region, 1990-2030 (Quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800.

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Review of Wind Energy Forecasting Methods for Modeling Ramping Events  

DOE Green Energy (OSTI)

Tall onshore wind turbines, with hub heights between 80 m and 100 m, can extract large amounts of energy from the atmosphere since they generally encounter higher wind speeds, but they face challenges given the complexity of boundary layer flows. This complexity of the lowest layers of the atmosphere, where wind turbines reside, has made conventional modeling efforts less than ideal. To meet the nation's goal of increasing wind power into the U.S. electrical grid, the accuracy of wind power forecasts must be improved. In this report, the Lawrence Livermore National Laboratory, in collaboration with the University of Colorado at Boulder, University of California at Berkeley, and Colorado School of Mines, evaluates innovative approaches to forecasting sudden changes in wind speed or 'ramping events' at an onshore, multimegawatt wind farm. The forecast simulations are compared to observations of wind speed and direction from tall meteorological towers and a remote-sensing Sound Detection and Ranging (SODAR) instrument. Ramping events, i.e., sudden increases or decreases in wind speed and hence, power generated by a turbine, are especially problematic for wind farm operators. Sudden changes in wind speed or direction can lead to large power generation differences across a wind farm and are very difficult to predict with current forecasting tools. Here, we quantify the ability of three models, mesoscale WRF, WRF-LES, and PF.WRF, which vary in sophistication and required user expertise, to predict three ramping events at a North American wind farm.

Wharton, S; Lundquist, J K; Marjanovic, N; Williams, J L; Rhodes, M; Chow, T K; Maxwell, R

2011-03-28T23:59:59.000Z

142

Weather forecast-based optimization of integrated energy systems.  

SciTech Connect

In this work, we establish an on-line optimization framework to exploit detailed weather forecast information in the operation of integrated energy systems, such as buildings and photovoltaic/wind hybrid systems. We first discuss how the use of traditional reactive operation strategies that neglect the future evolution of the ambient conditions can translate in high operating costs. To overcome this problem, we propose the use of a supervisory dynamic optimization strategy that can lead to more proactive and cost-effective operations. The strategy is based on the solution of a receding-horizon stochastic dynamic optimization problem. This permits the direct incorporation of economic objectives, statistical forecast information, and operational constraints. To obtain the weather forecast information, we employ a state-of-the-art forecasting model initialized with real meteorological data. The statistical ambient information is obtained from a set of realizations generated by the weather model executed in an operational setting. We present proof-of-concept simulation studies to demonstrate that the proposed framework can lead to significant savings (more than 18% reduction) in operating costs.

Zavala, V. M.; Constantinescu, E. M.; Krause, T.; Anitescu, M.

2009-03-01T23:59:59.000Z

143

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Projections by End-Use Sector and Region Tables (2002-2025) Projections by End-Use Sector and Region Tables (2002-2025) Formats Reference Case Projections by End-Use Sector and Region Data Tables (1 to 15 complete) Excel PDF Table Title Table D1 Delivered Energy Consumption in the United States by End-Use Sector and Fuel Excel PDF Table D2 Delivered Energy Consumption in Canada by End-Use Sector and Fuel Excel PDF Table D3 Delivered Energy Consumption in Mexico by End-Use Sector and Fuel Excel PDF Table D4 Delivered Energy Consumption in Western Europe by End-Use Sector and Fuel Excel PDF Table D5 Delivered Energy Consumption in Japan by End-Use Sector and Fuel Excel PDF Table D6 Delivered Energy Consumption in Australia/New Zealand by End-Use Sector and Fuel Excel PDF Table D7 Delivered Energy Consumption in the Former Soviet Union by End-Use Sector and Fuel

144

International Energy Outlook 2006 - World Energy and Economic Outlook  

Gasoline and Diesel Fuel Update (EIA)

1: World Energy and Economic Outlook 1: World Energy and Economic Outlook The IEO2006 projections indicate continued growth in world energy use, despite world oil prices that are 35 percent higher in 2025 than projected in last year’s outlook. Energy resources are thought to be adequate to support the growth expected through 2030. Figure 7. World Marketed Energy Consumption, 1980-2030 (Quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 8. World Marketed Energy Use: OECD and Non-OECD, 1980-2030 (Quadrillion Btu). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Table 1. World Marketed Energy Consumption by Country Grouping, 2003-2030 (Quadrillion Btu) Printer friendly version Region 2003 2010 2015 2020 2025 2030 Average Annual Percent Change, 2003-2030

145

Material World: Forecasting Household Appliance Ownership in a Growing Global Economy  

E-Print Network (OSTI)

of Household Income and Appliance Ownership. ECEEE Summerof decreasing prices of appliances, if price data becomesForecasting Household Appliance Ownership in a Growing

Letschert, Virginie

2010-01-01T23:59:59.000Z

146

Low Carbon World | Open Energy Information  

Open Energy Info (EERE)

Low Carbon World Low Carbon World Jump to: navigation, search Tool Summary LAUNCH TOOL Name: LowCarbonWorld Agency/Company /Organization: LowCarbonEconomy Partner: United Nations Environment Programme Sector: Energy, Land Topics: GHG inventory, Background analysis Resource Type: Dataset, Maps Website: www.lowcarboneconomy.com/Low_Carbon_World/Data/Home LowCarbonWorld Screenshot References: LowCarbonWorld[1] Background The idea behind this project was conceived at the 2008 United Nations Conference of Parties (COP14) event in Poznan (Poland). By listening to many speeches by energy ministers from numerous countries in the high level segment of the event, Toddington Harper Managing Director of The Low Carbon Economy Ltd (TLCE) became aware of the depth of valuable information being

147

World Bank | Open Energy Information  

Open Energy Info (EERE)

Bank Bank Jump to: navigation, search Logo: World Bank Name World Bank Address 1818 H Street, NW Place Washington, District of Columbia Zip 20433 Number of employees 10,000+"+" is not declared as a valid unit of measurement for this property. Year founded 1944 Phone number (202) 473-1000 Coordinates 38.899458°, -77.042447° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.899458,"lon":-77.042447,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

148

World Wise Technologies Inc | Open Energy Information  

Open Energy Info (EERE)

Technologies Inc Technologies Inc Jump to: navigation, search Name World Wise Technologies Inc Place Carson City, Nevada Zip 89701 Sector Renewable Energy Product Develops renewable energy technologies and applies it to new generation electrical power systems. Patented technologies to produce green power generating plants and applications. References World Wise Technologies Inc[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. World Wise Technologies Inc is a company located in Carson City, Nevada . References ↑ "World Wise Technologies Inc" Retrieved from "http://en.openei.org/w/index.php?title=World_Wise_Technologies_Inc&oldid=353164" Categories: Clean Energy Organizations

149

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network (OSTI)

the entire forecast period, primarily because both weather-adjusted peak and electricity consumption were forecast. Keywords Electricity demand, electricity consumption, demand forecast, weather normalization, annual peak demand, natural gas demand, self-generation, conservation, California Solar Initiative. #12

150

Forecasts of intercity passenger demand and energy use through 2000  

SciTech Connect

The development of national travel demand and energy-use forecasts for automobile and common-carrier intercity travel through the year 2000. The forecasts are driven by the POINTS (Passenger Oriented Intercity Network Travel Simulation) model, a model direct-demand model which accounts for competition among modes and destinations. Developed and used to model SMSA-to-SMSA business and nonbusiness travel, POINTS is an improvement over earlier direct demand models because it includes an explicit representation of cities' relative accessibilities and a utility maximizing behavorial multimodal travel function. Within POINTS, pathbuilding algorithms are used to determine city-pair travel times and costs by mode, including intramodal transfer times. Other input data include projections of SMSA population, public and private sector employment, and hotel and other retail receipts. Outputs include forecasts of SMSA-to-SMSA person trips and person-miles of travel by mode. For the national forecasts, these are expanded to represent all intercity travel (trips greater than 100 miles, one way) for two fuel-price cases. Under both cases rising fuel prices, accompanied by substantial reductions in model-energy intensities, result in moderate growth in total intercity passenger travel. Total intercity passenger travel is predicted to grow at approximately one percent per year, slightly fster than population growth, while air travel grows almost twice as fast as population. The net effect of moderate travel growth and substantial reduction in model energy intensities is a reduction of approximately 50 percent in fuel consumption by the intercity passenger travel market.

Kaplan, M.P.; Vyas, A.D.; Millar, M.; Gur, Y.

1982-01-01T23:59:59.000Z

151

How much of world energy consumption and electricity ...  

U.S. Energy Information Administration (EIA)

How much of world energy consumption and electricity generation is from renewable energy? EIA estimates that about 10% of world marketed energy ...

152

How much of world energy consumption and electricity generation is ...  

U.S. Energy Information Administration (EIA)

How much of world energy consumption and electricity generation is from renewable energy? EIA estimates that about 10% of world marketed energy consumption is from ...

153

Coalition of World Energy Ministers Commit to Improvements in Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Coalition of World Energy Ministers Commit to Improvements in Coalition of World Energy Ministers Commit to Improvements in Energy Efficiency, Renewable Energy, Energy Access Coalition of World Energy Ministers Commit to Improvements in Energy Efficiency, Renewable Energy, Energy Access April 26, 2012 - 5:15am Addthis LONDON, 26 April 2012 - Leaders from the 23-government Clean Energy Ministerial (CEM) and the UN Secretary-General's Sustainable Energy for All initiative (SE4All) today outlined specific commitments by participating countries and private sector leaders which will promote improved energy efficiency, renewable energy technologies, and increased energy access around the world. The commitments build on two years of work by the Clean Energy Ministerial and support the goal of sustainable energy for all by 2030, the primary

154

World lpg forecast and implications for the U. S. Merchant Marine, 1978-1990  

SciTech Connect

This study summarizes historical and current LPG trade and vessels operating worldwide. It also forecasts LPG trade required for the U.S. and other major markets through 1990. Using an economic model to assess the market for LPG ships, the study forecasts vessel requirements for U.S. LPG trade and prospects for building required vessels in the U.S.

1978-05-01T23:59:59.000Z

155

Perils of Long-Range Energy Forecasting: Reflections on Looking Far Ahead  

E-Print Network (OSTI)

! #12;PERILS OF LONG-RANGE ENERGY FORCASTING 255 Fig. 1. Forecasts of the U.S. primary energy notable forecasts of the U.S. primary energy consumption in the year 2000 that were released between have been around energy matters for some time--is the goal of U.S. energy independence charted

Smil, Vaclav

156

Energy forecasts: searching for truth amidst the numbers  

SciTech Connect

High and volatile fuel prices coupled with erratic fuel availability have made reliable fuel forecasting vitally important for the nation's energy industry. The costs of error or missed opportunities are now enormous for management, stockholders, bondholders, gas and electricity ratepayers, and, of course, utility regulators. Fuel market forecasts affect a host of management decisions ranging from tactical fuel planning (e.g., how much oil, coal, and, eventually, gas to purchase on the spot market over the next 3 months) to strategic power system planning (e.g., what generating mix is optimal for the 1990s) and oil and gas exploration and production (EandP) planning (e.g., what portfolio of gas prospects should be developed this decade in the lower 48 states). Often hundreds of millions and sometimes billions of dollars are at stake in areas as diverse as: Industrial energy marketing, Fuel procurement planning, Fuel mix and fuel ownership strategy, Corporate business strategy planning, Company RandD planning, Oil and gas EandP budget planning, Electricity load forecasting, Electricity capacity planning and operations.

1984-01-01T23:59:59.000Z

157

World History and Energy VACLAV SMIL  

E-Print Network (OSTI)

approximately 90% of all commercial primary energy supply, with the rest coming from primary (hydro and nuclearWorld History and Energy VACLAV SMIL University of Manitoba Winnipeg, Manitoba, Canada 1. A Deterministic View of History 2. The Earliest Energy Eras 3. Medieval and Early Modern Advances 4. Transitions

Smil, Vaclav

158

Univariate modeling and forecasting of monthly energy demand time series using abductive and neural networks  

Science Conference Proceedings (OSTI)

Neural networks have been widely used for short-term, and to a lesser degree medium and long-term, demand forecasting. In the majority of cases for the latter two applications, multivariate modeling was adopted, where the demand time series is related ... Keywords: Abductive networks, Energy demand, Medium-term load forecasting, Neural networks, Time series forecasting, Univariate time series analysis

R. E. Abdel-Aal

2008-05-01T23:59:59.000Z

159

Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks  

Science Conference Proceedings (OSTI)

In this paper, next-day hourly forecasts are calculated for the energy price in the electricity production market of Spain. The methodology used to achieve these forecasts is based on artificial neural networks, which have been used successfully in recent ... Keywords: ART network, Backpropagation network, Box-Jenkins, Electricity market, Neural networks, Time series forecasting

Ral Pino; Jos Parreno; Alberto Gomez; Paolo Priore

2008-02-01T23:59:59.000Z

160

Large-scale Probabilistic Forecasting in Energy Systems using Sparse Gaussian Conditional Random Fields  

E-Print Network (OSTI)

pricing. Although it is known that probabilistic forecasts (which give a distribution over possible futureLarge-scale Probabilistic Forecasting in Energy Systems using Sparse Gaussian Conditional Random Fields Matt Wytock and J. Zico Kolter Abstract-- Short-term forecasting is a ubiquitous practice

Kolter, J. Zico

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

International Energy Outlook - Environmental Issues and World Energy Use  

Gasoline and Diesel Fuel Update (EIA)

Environmental Issues and World Energy Use Environmental Issues and World Energy Use International Energy Outlook 2004 Environmental Issues and World Energy Use In the coming decades, responses to environmental issues could affect patterns of energy use around the world. Actions to limit greenhouse gas emissions could alter the level and composition of energy-related carbon dioxide emissions by energy source. Two major environmental issues, global climate change and local or regional air pollution, could affect energy use throughout the world in the coming decades. Current and future policies and regulations designed to limit energy-related emissions of airborne pollutants, are likely to affect the composition and growth of global energy use. Future policy actions to limit anthropogenic (human-caused) carbon dioxide emissions as a means of reducing the potential impacts of climate change could also have significant energy implications.

162

Other World Computing | Open Energy Information  

Open Energy Info (EERE)

Computing Computing Jump to: navigation, search Name Other World Computing Facility Other World Computing Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Other World Computing Developer Other World Computing Energy Purchaser Other World Computing Location Woodstock IL Coordinates 42.281129°, -88.417338° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.281129,"lon":-88.417338,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

163

The World Renewable Energy Forum in Denver | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

The World Renewable Energy Forum in Denver The World Renewable Energy Forum in Denver The World Renewable Energy Forum in Denver Addthis 1 of 12 Santiago Seage, CEO of Abengoa Solar speaks at the World Renewable Energy Forum held at the Denver Convention Center in Denver, Colorado. Image: Dennis Schroeder/NREL 2 of 12 Energy Secretary Steven Chu delivers the keynote speech at the World Renewable Energy Forum in Denver, Colorado. Image: Dennis Schroeder/NREL 3 of 12 Energy Secretary Steven Chu, right and Susan Greene, center, President of ASES, talk to Michael Zuercher-Martinson, left, at the Solectria Renewables booth in the exhibit hall at the World Renewable Energy Forum being held at the Denver Convention Center in Denver, Colorado. Image: Dennis Schroeder/NREL 4 of 12 L-R: Susan Greene, Center, President of ASES, Dan Arvizu, Director of NREL

164

World Watch Institute Feed | Open Energy Information  

Open Energy Info (EERE)

World Watch Institute Feed World Watch Institute Feed Jump to: navigation, search Home | About | Inventory | Partnerships | Capacity Building | Webinars | Reports | Events | News | List Serve CLEAN Member Feeds Center for Environment and National Security at Scripps Centro de Energías Renovables (CER) The Children's Investment Fund Foundation (CIFF) Climate and Development Knowledge Network (CDKN) Climate Technology Initiative (CTI) ClimateWorks Foundation Coalition for Rainforest Nations (CfRN) Ecofys Energy Research Centre of the Netherlands (ECN) Energy Sector Management Assistance Program of the World Bank (ESMAP) Environment and Development Action in the Third World (ENDA-TM) German Aerospace Center (DLR) German Agency for International Cooperation (GIZ) Global Village Energy Partnership (GVEP)

165

World Resources Institute Feed | Open Energy Information  

Open Energy Info (EERE)

World Resources Institute Feed World Resources Institute Feed Jump to: navigation, search Home | About | Inventory | Partnerships | Capacity Building | Webinars | Reports | Events | News | List Serve CLEAN Member Feeds Center for Environment and National Security at Scripps Centro de Energías Renovables (CER) The Children's Investment Fund Foundation (CIFF) Climate and Development Knowledge Network (CDKN) Climate Technology Initiative (CTI) ClimateWorks Foundation Coalition for Rainforest Nations (CfRN) Ecofys Energy Research Centre of the Netherlands (ECN) Energy Sector Management Assistance Program of the World Bank (ESMAP) Environment and Development Action in the Third World (ENDA-TM) German Aerospace Center (DLR) German Agency for International Cooperation (GIZ) Global Village Energy Partnership (GVEP)

166

Three Essays on Energy Economics and Forecasting  

E-Print Network (OSTI)

This dissertation contains three independent essays relating energy economics. The first essay investigates price asymmetry of diesel in South Korea by using the error correction model. Analyzing weekly market prices in the pass-through of crude oil, this model shows asymmetric price response does not exist at the upstream market but at the downstream market. Since time-variant residuals are found by the specified models for both weekly and daily retail prices at the downstream level, these models are implemented by a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) process. The estimated results reveal that retail prices increase fast in the rise of crude oil prices but decrease slowly in the fall of those. Surprisingly, retail prices rarely respond to changes of crude oil prices for the first five days. Based on collusive behaviors of retailers, this price asymmetry in Korea diesel market is explained. The second essay aims to evaluate the new incentive system for biodiesel in South Korea, which keeps the blend mandate but abolishes tax credits for government revenues. To estimate changed welfare from the new policy, a multivariate stochastic simulation method is applied into time-series data for the last five years. From the simulation results, the new biodiesel policy will lead government revenues to increases with the abolishment of tax credit. However, increased prices of blended diesel will cause to decrease demands of both biodiesel and blended diesel, so consumer and producer surplus in the transport fuel market will decrease. In the third essay, the Regression - Seasonal Autoregressive Integrated Moving Average (REGSARIMA) model is employed to predict the impact of air temperature on daily peak load demand in Houston. Compared with ARIMA and Seasonal Model, a REGARIMA model provides the more accurate prediction for daily peak load demand for the short term. The estimated results reveal air temperature in the Houston areas causes an increase in electricity consumption for cooling but to save that for heating. Since the daily peak electricity consumption is significantly affected by hot air temperature, this study makes a conclusion that it is necessary to establish policies to reduce urban heat island phenomena in Houston.

Shin, Yoon Sung

2011-12-01T23:59:59.000Z

167

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

E-Print Network (OSTI)

LBNL-57955 U.S. Regional Energy Demand Forecasts Using NEMS and GIS Jesse A. Cohen, Jennifer L Efficiency and Renewable Energy, Office of Planning, Budget, and Analysis of the U.S. Department of Energy-57955 U.S. Regional Energy Demand Forecasts Using NEMS and GIS Prepared for the Office of Planning

168

California Wind Energy Forecasting System Development and Testing, Phase 1: Initial Testing  

Science Conference Proceedings (OSTI)

Wind energy forecasting uses sophisticated numerical weather forecasting and wind plant power generation models to predict the hourly energy generation of a wind power plant up to 48 hours in advance. As a result, it has great potential to address the needs of the California Independent System Operator (ISO) and the wind plant operators, as well as power marketers and buyers and utility system dispatch personnel. This report gives the results of 28 days of testing of wind energy forecasting at a Californ...

2003-01-31T23:59:59.000Z

169

International Energy Outlook 2006 - World Oil Markets  

Gasoline and Diesel Fuel Update (EIA)

Oil Markets Oil Markets International Energy Outlook 2006 Chapter 3: World Oil Markets In the IEO2006 reference case, world oil demand increases by 47 percent from 2003 to 2030. Non-OECD Asia, including China and India, accounts for 43 percent of the increase. In the IEO2006 reference case, world oil demand grows from 80 million barrels per day in 2003 to 98 million barrels per day in 2015 and 118 million barrels per day in 2030. Demand increases strongly despite world oil prices that are 35 percent higher in 2025 than in last year’s outlook. Much of the growth in oil consumption is projected for the nations of non-OECD Asia, where strong economic growth is expected. Non-OECD Asia (including China and India) accounts for 43 percent of the total increase in world oil use over the projection period.

170

OECD/IEA 2013 World Renewable Energy  

E-Print Network (OSTI)

© OECD/IEA 2013 World Renewable Energy Outlook 2030-2050 Paolo Frankl Head, Renewable Energy'humanité CNRS ­ Ademe ­ Unesco, Paris, 3 octobre 2013 #12;© OECD/IEA 2013 Current share of renewables% Electricity Transport Industry Buildings Other sectors Non-OECD solid biomass Bioenergy Other renewables Non

Canet, Léonie

171

BP Statistical Review of World Energy | Open Energy Information  

Open Energy Info (EERE)

Review of World Energy Review of World Energy Jump to: navigation, search Name BP Statistical Review of World Energy Data Format Excel Spreadsheet Geographic Scope Earth TODO: Import actual dataset contents into OpenEI The BP Statistical Review of World Energy is an Excel spreadsheet which contains consumption and production data for Coal, Natural Gas, Nuclear, Oil, and Hydroelectric energy. It is produced annually by British Petroleum.[1] Data from the BP Statistical Review is used in various tools, including the Energy Export Databrowser.[1] External links 2009 Data 2008 Data 2007 Data 2006 Data 2005 Data 2004 Data 2003 Data 2002 Data References ↑ 1.0 1.1 "Sources of data used in the Energy Export Databrowser" Retrieved from "http://en.openei.org/w/index.php?title=BP_Statistical_Review_of_World_Energy&oldid=272979"

172

World energy: Building a sustainable future  

SciTech Connect

As the 20th century draws to a close, both individual countries and the world community face challenging problems related to the supply and use energy. These include local and regional environmental impacts, the prospect of global climate and sea level change associated with the greenhouse effect, and threats to international relations in connection with oil supply or nuclear proliferation. For developing countries, the financial cost of providing energy to provide basic needs and fuel economic development pose an additional burden. To assess the magnitude of future problems and the potential effectiveness of response strategies, it is important to understand how and why energy use has changed in the post and where it is heading. This requires study of the activities for which energy is used, and of how people and technology interact to provide the energy services that are desired. The authors and their colleagues have analyzed trends in energy use by sector for most of the world`s major energy-consuming countries. The approach we use considers three key elements in each sector: the level of activity, structural change, and energy intensity, which expresses the amount of energy used for various activities. At a disaggregated level, energy intensity is indicative of energy efficiency. But other factors besides technical efficiency also shape intensity.

Schipper, L.; Meyers, S.

1992-04-01T23:59:59.000Z

173

Ukraine-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

Ukraine-World Bank Climate Projects AgencyCompany Organization World Bank Sector Energy Focus Area Energy Efficiency Topics Background analysis Country Ukraine Eastern Europe...

174

Texas Wind Energy Forecasting System Development and Testing, Phase 1: Initial Testing  

Science Conference Proceedings (OSTI)

This report describes initial results from the Texas Wind Energy Forecasting System Development and Testing Project at a 75-MW wind project in west Texas.

2003-12-31T23:59:59.000Z

175

EIA - 2010 International Energy Outlook - World Energy Demand...  

Gasoline and Diesel Fuel Update (EIA)

about energy security and greenhouse gas emissions support the development of new nuclear generating capacity. World average capacity utilization rates have continued to rise...

176

EIA - International Energy Outlook 2007-World Energy and Economic Outlook  

Gasoline and Diesel Fuel Update (EIA)

and Economic Outlook and Economic Outlook International Energy Outlook 2007 Figure 8. World Marketed Energy Consumption, 1980-2030 Figure 8 Data. Need help, contact the National Energy Information Center at 202-586-8800. Figure 9. World Marketed Energy Use: OECD and Non-OECD, 2004-2030 Figure 9 Data. Need help, contact the National Energy Information Center at 202-586-8800. Figure 10. Marketed Energy Use in the Non-OECD Economies by Region, 1990-2030 Figure 10 Data. Need help, contact the National Energy Information Center at 202-586-8800. Figure 11. World Marketed Energy Use by Fuel Type, 1980-2030 Figure 11 Data. Need help, contact the National Energy Information Center at 202-586-8800. Figure 12. World Coal Consumption by Region, 2004-2030 Figure 12 Data. Need help, contact the National Energy Information Center at 202-586-8800.

177

The World Energy situation andThe World Energy situation and the Role of Renewable Energy Sources and  

E-Print Network (OSTI)

The World Energy situation andThe World Energy situation and the Role of Renewable Energy Sources Energy Situation and the Role of Renewable Energy Sources and Advanced Nuclear Technologies, fission 2 Renewable Energy Sources2. Renewable Energy Sources ­ Solar, wind, geothermal, biomass, hydro, etc

Abdou, Mohamed

178

World Petroleum Supply/Demand Forecast - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

With the major problem being price, what does EIA expect for the rest of this year? After two relatively mild winters with growing crude oil supplies and the Asian ...

179

Context-aware parameter estimation for forecast models in the energy domain  

Science Conference Proceedings (OSTI)

Continuous balancing of energy demand and supply is a fundamental prerequisite for the stability and efficiency of energy grids. This balancing task requires accurate forecasts of future electricity consumption and production at any point in time. For ... Keywords: energy, forecasting, maintenance, parameter estimation

Lars Dannecker; Robert Schulze; Matthias Bhm; Wolfgang Lehner; Gregor Hackenbroich

2011-07-01T23:59:59.000Z

180

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime-Switching  

E-Print Network (OSTI)

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime at a wind energy site and fits a conditional predictive model for each regime. Geographically dispersed was applied to 2-hour-ahead forecasts of hourly average wind speed near the Stateline wind energy center

Genton, Marc G.

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Implementation of a Corporate Energy Accounting and Forecasting Model  

E-Print Network (OSTI)

The development and implementation of a Frito-Lay computer based energy consumption reporting and modeling program is discussed. The system has been designed to relate actual plant energy consumption to a standard consumption which incorporates the effects of weather, product mix, specific equipment types, and other plant factors. The model also provides energy consumption forecasts based on projected production, equipment improvements, and fuels mix. Development of the model began in August 1979 and was preceded by two years of complete auditing of all areas in two manufacturing plants plus specific processing lines in other plants to determine typical energy usage. Extensive analyses of the data resulted in the formulation of standards for the various pieces of equipment which are used as energy performance 'yardsticks'. Monthly reports permit equitable comparisons of plant energy consumption and isolation of those plants with the lowest efficiencies. The financial impact of increasing energy consumption, of the projected energy use for new plants or plant expansions, and of the effect of process changes on overall energy consumption can be also evaluated.

Kympton, H. W.; Bowman, B. M.

1981-01-01T23:59:59.000Z

182

World Energy Congress Ministerial Forum | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

World Energy Congress Ministerial Forum World Energy Congress Ministerial Forum World Energy Congress Ministerial Forum November 13, 2007 - 4:31pm Addthis Remarks as Prepared for Secretary Bodman Thank you. It's a pleasure to be here with this distinguished group of panelists. I want to thank Minister Bersani for convening this event and for inviting me to be a part of it. I'm known for being direct, so let me get to the point and submit that the challenges are quite clear to us all. The bottom line is this: the world needs a safe, reliable, clean, affordable, and diverse energy supply. This is a global challenge, perhaps one of the most significant of our time. And, as if we needed more evidence of its scope, the International Energy Agency's (IEA) World Energy Outlook, released just last week,

183

World Bank Renewable Energy Toolkit | Open Energy Information  

Open Energy Info (EERE)

World Bank Renewable Energy Toolkit World Bank Renewable Energy Toolkit Jump to: navigation, search Tool Summary LAUNCH TOOL Name: World Bank Renewable Energy Toolkit Agency/Company /Organization: World Bank Sector: Energy Focus Area: Renewable Energy, Solar, Wind Topics: Finance, Implementation, Market analysis, Policies/deployment programs, Resource assessment, Pathways analysis Resource Type: Publications, Guide/manual, Training materials, Lessons learned/best practices Website: web.worldbank.org/WBSITE/EXTERNAL/TOPICS/EXTENERGY2/EXTRENENERGYTK/0,, References: World Bank RE Toolkit Homepage [1] The Word Bank's REToolKit is designed "to assist Bank staff and country counterparts to improve the design and implementation of renewable energy (RE) projects, incorporates best practices and lessons learned from RE

184

Summary World Biofuels Energy Data (from World on the Edge) ...  

Open Energy Info (EERE)

related to world biofuels production. It is part of a supporting dataset for the book World On the Edge: How to Prevent Environmental and Economic Collapse byLester R....

185

WorldScan | Open Energy Information  

Open Energy Info (EERE)

WorldScan WorldScan Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: WorldScan Agency/Company /Organization: Netherlands Bureau for Economic Policy Analysis (CPB) Sector: Climate, Energy Complexity/Ease of Use: Moderate Website: www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=1923 Related Tools Marginal Abatement Cost Tool (MACTool) Greenhouse Gas and Air Pollution Interactions and Synergies (GAINS) Gold Standard Program Model ... further results A recursively dynamic general equilibrium model for the world economy, developed for the analysis of long-term issues in international economics; used both as a tool to construct long-term scenarios and as an instrument

186

Visualization of World Energy Supply | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » Visualization of World Energy Supply Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Visualization of World Energy Supply Agency/Company /Organization: Organisation for Economic Co-Operation and Development (OECD) Sector: Energy Resource Type: Software/modeling tools User Interface: Website Website: en.openei.org/wiki/Visualization_of_World_Energy_Supply Cost: Free OpenEI Keyword(s): Community Generated Language: English References: OECD[1] Motion chart visualization of the world energy supply from the Organisation for Economic Co-operation and Development (OECD). The default view shows how much percent of energy produced is renewable energy and how much total energy is produced by each country.

187

World energy: Building a sustainable future  

SciTech Connect

As the 20th century draws to a close, both individual countries and the world community face challenging problems related to the supply and use energy. These include local and regional environmental impacts, the prospect of global climate and sea level change associated with the greenhouse effect, and threats to international relations in connection with oil supply or nuclear proliferation. For developing countries, the financial cost of providing energy to provide basic needs and fuel economic development pose an additional burden. To assess the magnitude of future problems and the potential effectiveness of response strategies, it is important to understand how and why energy use has changed in the post and where it is heading. This requires study of the activities for which energy is used, and of how people and technology interact to provide the energy services that are desired. The authors and their colleagues have analyzed trends in energy use by sector for most of the world's major energy-consuming countries. The approach we use considers three key elements in each sector: the level of activity, structural change, and energy intensity, which expresses the amount of energy used for various activities. At a disaggregated level, energy intensity is indicative of energy efficiency. But other factors besides technical efficiency also shape intensity.

Schipper, L.; Meyers, S.

1992-04-01T23:59:59.000Z

188

World energy: Building a sustainable future  

SciTech Connect

As the 20th century draws to a close, both individual countries and the world community face challenging problems related to the supply and use energy. These include local and regional environmental impacts, the prospect of global climate and sea level change associated with the greenhouse effect, and threats to international relations in connection with oil supply or nuclear proliferation. For developing countries, the financial cost of providing energy to provide basic needs and fuel economic development pose an additional burden. To assess the magnitude of future problems and the potential effectiveness of response strategies, it is important to understand how and why energy use has changed in the post and where it is heading. This requires study of the activities for which energy is used, and of how people and technology interact to provide the energy services that are desired. The authors and their colleagues have analyzed trends in energy use by sector for most of the world's major energy-consuming countries. The approach we use considers three key elements in each sector: the level of activity, structural change, and energy intensity, which expresses the amount of energy used for various activities. At a disaggregated level, energy intensity is indicative of energy efficiency. But other factors besides technical efficiency also shape intensity.

Schipper, L.; Meyers, S.

1992-04-01T23:59:59.000Z

189

Solar Resource and Forecasting QuestionnaireSolar Resource and Forecasting QuestionnaireSolar Resource and Forecasting QuestionnaireSolar Resource and Forecasting Questionnaire As someone who is familiar with solar energy issues, we hope that you will tak  

E-Print Network (OSTI)

is familiar with solar energy issues, we hope that you will take a few moments to answer this short survey on your needs for information on solar energy resources and forecasting. This survey is conducted with the California Solar Energy Collaborative (CSEC) and the California Solar Initiative (CSI) our objective

Islam, M. Saif

190

Beyond "Partly Sunny": A Better Solar Forecast | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Beyond "Partly Sunny": A Better Solar Forecast Beyond "Partly Sunny": A Better Solar Forecast Beyond "Partly Sunny": A Better Solar Forecast December 7, 2012 - 10:00am Addthis The Energy Department is investing in better solar forecasting techniques to improve the reliability and stability of solar power plants during periods of cloud coverage. | Photo by Dennis Schroeder/NREL. The Energy Department is investing in better solar forecasting techniques to improve the reliability and stability of solar power plants during periods of cloud coverage. | Photo by Dennis Schroeder/NREL. Minh Le Minh Le Program Manager, Solar Program What Do These Projects Do? The Energy Department is investing $8 million in two cutting-edge projects to increase the accuracy of solar forecasting at sub-hourly,

191

EIA - International Energy Outlook 2007-Low World Oil Price Projections  

Gasoline and Diesel Fuel Update (EIA)

Low World Oil Price Case Projections (1990-2030) Low World Oil Price Case Projections (1990-2030) International Energy Outlook 2007 Low World Oil Price Projections Tables (1990-2030) Formats Table Data Titles (1 to 12 complete) Low World Oil Price Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Low World Oil Price Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table E1 World Total Energy Consumption by Region, Low World Oil Price Case Table E1. World Total Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table E2 World Total Energy Consumption by Region and Fuel, Low World Oil Price Case Table E2. World Total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

192

BP Statistical Review of World Energy  

E-Print Network (OSTI)

, `Accounting for Oil and Gas Exploration, Development, Production and Decommissioning Activities' (UK SORP-specific data according to energy type, region and year. · An oil, natural gas and LNG conversion calculator of the world's largest oil and gas companies, serving millions of customers in more than 100 countries across

Laughlin, Robert B.

193

Alleviating energy poverty for the world's poor | Open Energy Information  

Open Energy Info (EERE)

Alleviating energy poverty for the world's poor Alleviating energy poverty for the world's poor Jump to: navigation, search Tool Summary Name: Alleviating energy poverty for the world's poor Agency/Company /Organization: Ambuj Sagar Sector: Energy Focus Area: Renewable Energy, Energy Efficiency, People and Policy Phase: Create a Vision Topics: Co-benefits assessment, - Energy Access Resource Type: Publications User Interface: Website Website: www.sciencedirect.com/science/article/pii/S0301421504000096 Cost: Free Language: English This report argues for an 'energy poverty alleviation' fund to help provide modern energy services to poor households. It also proposes an approach through which to create such a fund, namely by introducing an incremental levy on petroleum. Improving energy services for poor households in developing countries

194

Solar World USA not SolarWorld AG | Open Energy Information  

Open Energy Info (EERE)

World USA not SolarWorld AG World USA not SolarWorld AG Jump to: navigation, search Name Solar World USA (not SolarWorld AG) Place Colorado Springs, Colorado Zip 80907 Sector Solar Product Solar World manufactures solar powered products for educational, consumer, electronic and custom OEM markets. References Solar World USA (not SolarWorld AG)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Solar World USA (not SolarWorld AG) is a company located in Colorado Springs, Colorado . References ↑ "Solar World USA (not SolarWorld AG)" Retrieved from "http://en.openei.org/w/index.php?title=Solar_World_USA_not_SolarWorld_AG&oldid=351350" Categories: Clean Energy Organizations

195

Texas Wind Energy Forecasting System Development and Testing: Phase 2: 12-Month Testing  

Science Conference Proceedings (OSTI)

Wind energy forecasting systems are expected to support system operation in cases where wind generation contributes more than a few percent of total generating capacity. This report presents final results from the Texas Wind Energy Forecasting System Development and Testing Project at a 75-MW wind project in west Texas.

2004-09-30T23:59:59.000Z

196

International Energy Outlook 2000 - World Energy Consumption  

Gasoline and Diesel Fuel Update (EIA)

The IEO2000 projections reflect a change in short-term expectations for world oil prices. In the long term, OPEC production cutbacks are expected to be relaxed, and prices are projected to rise gradually through 2020 as the oil resource base is expanded. The IEO2000 projections reflect a change in short-term expectations for world oil prices. In the long term, OPEC production cutbacks are expected to be relaxed, and prices are projected to rise gradually through 2020 as the oil resource base is expanded. The crude oil market rebounded dramatically in 1999. Prices rose from the low monthly average of $9.39 per barrel (nominal U.S. dollars) in December 1998 to $24.44 in December 1999, an increase of almost $15 a barrel. Prices were influenced by the successful adherence to announced cutbacks in production by members of the Organization of Petroleum Exporting Countries (OPEC) as well as several non-OPEC countries, notably, Mexico and Norway. In addition, the price decline in 1998 significantly dampened the annual

197

International Energy Outlook 2001 - Environmental Issues and World Energy  

Gasoline and Diesel Fuel Update (EIA)

Environmental Issues and World Energy Use Environmental Issues and World Energy Use picture of a printer Printer Friendly Version (PDF) In the coming decades, global environmental issues could significantly affect patterns of energy use around the world. Any future efforts to limit carbon emissions are likely to alter the composition of total energy-related carbon emissions by energy source. This chapter examines the link between energy use and the environment worldwide, with particular emphasis on the International Energy Outlook 2001 (IEO2001) projections for energy consumption and associated carbon dioxide emissions over the next 20 years. Regulations to reduce regional energy-related emissions of sulfur dioxide and nitrogen oxides, which are linked to several environmental problems, are also discussed (see

198

Annual Energy Outlook Forecast Evaluation - Tables 2-18  

Gasoline and Diesel Fuel Update (EIA)

Total Energy Consumption: AEO Forecasts, Actual Values, and Total Energy Consumption: AEO Forecasts, Actual Values, and Absolute and Percent Errors, 1985-1999 Publication 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 Average Absolute Error (Quadrillion Btu) AEO82 79.1 79.6 79.9 80.8 82.0 83.3 1.8 AEO83 78.0 79.5 81.0 82.4 83.8 84.6 89.5 1.2 AEO84 78.5 79.4 81.2 83.1 85.0 86.4 93.5 1.5 AEO85 77.6 78.5 79.8 81.2 82.6 83.3 84.2 85.2 85.9 86.7 87.7 1.3 AEO86 77.0 78.8 79.8 80.6 81.5 82.9 84.0 84.8 85.7 86.5 87.9 88.4 87.8 88.7 3.6 AEO87 78.9 80.0 81.9 82.8 83.9 85.3 86.4 87.5 88.4 1.5 AEO89 82.2 83.7 84.5 85.4 86.4 87.3 88.2 89.2 90.8 91.4 90.9 91.7 1.8

199

Energy Forecasting in Volatile Times - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

The U.S. Energy Information Administration (EIA) collects, analyzes, and disseminates independent and impartial energy information to promote sound policymaking ...

200

Energy efficient buildings: A world of possibilities  

SciTech Connect

Throughout the world, buildings are a major energy consumer. However, it can be shown that buildings that save from 30 to 50% over common practice can be built using available technologies while actually increasing occupant comfort and functionality. In addition, many technologies are in the development stage that promise even further increases in energy efficiency in buildings. This paper reviews the current state-of-the-art in energy efficient building practice including building equipment and envelopes. Topics discussed include heating, ventilating and air conditioning equipment; lighting; insulation; building envelopes; and building commissioning. The energy effects of switching to non-chlorofluorocarbons in building insulation and refrigeration equipment are discussed. Advanced technologies currently under development that might have a substantial impact on future energy use including advanced absorption chillers, new lighting and window technologies, and thermally activated heat pumps are also described. 24 refs., 6 figs.

Kuliasha, M.A.

1991-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Energy Information Administration (EIA) - High World Oil Price Case  

Gasoline and Diesel Fuel Update (EIA)

High World Oil Price Case Projections Tables (1990-2030) High World Oil Price Case Projections Tables (1990-2030) International Energy Outlook 2007 High World Oil Price Case Projections Tables (1990-2030) Formats Data Table Titles (1 to 12 complete) High World Oil Price Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. High World Oil Price Case Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table D1 World Total Primary Energy Consumption by Region Table D1. World Total Primary Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table D2 World Total Energy Consumption by Region and Fuel Table D2. World total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

202

Economic Impacts of Advanced Weather Forecasting on Energy ...  

E-Print Network (OSTI)

Mar 5, 2010 ... Abstract: We analyze the impacts of adopting advanced weather forecasting systems at different levels of the decision-making hierarchy of the...

203

EIA - International Energy Outlook 2009-World Energy Demand and Economic  

Gasoline and Diesel Fuel Update (EIA)

Liquid Fuels Liquid Fuels International Energy Outlook 2009 Chapter 2 - Liquid Fuels World liquids consumption in the IEO2009 reference case increases from 85 million barrels per day in 2006 to 107 million barrels per day in 2030. Unconventional liquids, at 13.4 million barrels per day, make up 12.6 percent of total liquids production in 2030. Figure 25. World Liquids Consumption by Region and Country Group, 2006 and 2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 26. World Liquids Supply in Three Cases, 2006 and 2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 27. World Production of Unconventional Liquid Fuels, 2006-2030 (million barrels per day). Need help, contact the National Energy Information Center at 202-586-8800.

204

Dark Energy from Brane-world Gravity  

E-Print Network (OSTI)

Summary. Recent observations provide strong evidence that the universe is accelerating. This confronts theory with a severe challenge. Explanations of the acceleration within the framework of general relativity are plagued by difficulties. General relativistic models require a dark energy field with effectively negative pressure. An alternative to dark energy is that gravity itself may behave differently from general relativity on the largest scales, in such a way as to produce acceleration. The alternative approach of modified gravity also faces severe difficulties, but does provide a new angle on the problem. This review considers an example of modified gravity, provided by brane-world models that self-accelerate at late times. 1 1

Roy Maartens

2006-01-01T23:59:59.000Z

205

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

DOE Green Energy (OSTI)

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.

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

2011-10-01T23:59:59.000Z

206

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF DRAFT FORECAST  

E-Print Network (OSTI)

Policy Report, over the entire forecast period, primarily because both weather-adjusted peak and commercial sectors. Keywords Electricity demand, electricity consumption, demand forecast, weather normalization, annual peak demand, natural gas demand, self-generation, California Solar Initiative. #12;ii #12

207

International Energy Outlook 1999 - World Oil Markets  

Gasoline and Diesel Fuel Update (EIA)

oil.gif (4669 bytes) oil.gif (4669 bytes) A moderate view of future oil market developments is reflected in IEO99. Sustained high levels of oil prices are not expected, whereas continued expansion of the oil resource base is anticipated. The crude oil market was wracked with turbulence during 1998, as prices fell by one-third on average from 1997 levels. Even without adjusting for inflation, the world oil price in 1998 was the lowest since 1973. The declining oil prices were influenced by an unexpected slowdown in the growth of energy demand worldwide—less than any year since 1990—and by increases in oil supply, particularly in 1997. Although the increase in world oil production in 1998 was smaller than in any year since 1993, efforts to bolster prices by imposing further limits on production were

208

Energy Forecast, ForskEL (Smart Grid Project) | Open Energy Information  

Open Energy Info (EERE)

Forecast, ForskEL (Smart Grid Project) Forecast, ForskEL (Smart Grid Project) Jump to: navigation, search Project Name Energy Forecast, ForskEL Country Denmark Coordinates 56.26392°, 9.501785° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":56.26392,"lon":9.501785,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

209

Comparison of Energy Information Administration and Bonneville Power Administration load forecasts  

SciTech Connect

Comparisons of the modeling methodologies underlying the project Independence Evaluation System (PIES) and the Bonneville Power Administration forecasts are discussed in this paper. This Technical Memorandum is presented in order to reconcile apparent inconsistencies between the forecasts. These represent different purposes for the modeling effort as well as different forecasts. Nonetheless, both are appropriate within the context that they are intended. The BPA forecasts are site-specific, detailed, micro-level, yearly forecasts of the demand for electricity. PIES develops regional, macro forecasts and does not contain estimates of the timing of the completion of plants within the period of the forecast. The BPA forecast is intended to be utilized in analyzing a sub-regional capacity expansion program. PIES is a regional energy market-clearing, non-normative model which allows different scenarios to be compared by changing input variables. Clearly, both forecasts are dependent upon the accuracy of the assumptions and input variables included. However, the differing levels of aggregation and objectives require different types of input variables.

Reed, H.J.

1978-06-01T23:59:59.000Z

210

High Horizontal and Vertical Resolution Limited-Area Model: Near-Surface and Wind Energy Forecast Applications  

Science Conference Proceedings (OSTI)

As harvesting of wind energy grows, so does the need for improved forecasts from the surface to the top of wind turbines. To improve mesoscale forecasts of wind, temperature, and dewpoint temperature in this layer, two different approaches are ...

Natacha B. Bernier; Stphane Blair

2012-06-01T23:59:59.000Z

211

Summary World Solar Energy Data (from World on the Edge) | OpenEI  

Open Energy Info (EERE)

Solar Energy Data (from World on the Edge) Solar Energy Data (from World on the Edge) Dataset Summary Description This dataset presents summary information related to world solar energy. It is part of a supporting dataset for the book World On the Edge: How to Prevent Environmental and Economic Collapse by Lester R. Brown, available from the Earth Policy Institute. This solar energy dataset includes the following: World solar PV production (1975 - 2009); Annual solar PV production by country (1995 - 2009); Solar PV production in the US (1976 - 2009); World cumulative solar PV installations (1998 - 2009); Annual solar PV installations in selected countries and the world (1998 - 2009); Cumulative solar PV installations in the US (1998 - 2009) and EU (1998 - 2009); World installed concentrating solar thermal power capacity (1980 - 2009); solar water and space heating area in selected countries (2008) and top ten countries (2008).

212

European Union Wind Energy Forecasting Model Development and Testing: U.S. Department of Energy -- EPRI Wind Turbine Verification Pr ogram  

Science Conference Proceedings (OSTI)

Wind forecasting can increase the strategic and market values of wind power from large wind facilities. This report summarizes the results of the European Union (EU) wind energy forecasting project and performance testing of the EU wind forecasting model. The testing compared forecast and observed wind speed and generation data from U.S. wind facilities.

1999-12-15T23:59:59.000Z

213

SolarWorld Korea | Open Energy Information  

Open Energy Info (EERE)

SolarWorld Korea Jump to: navigation, search Name SolarWorld Korea Place Korea (Republic) Sector Solar Product Korea-based JV set up by SolarWorld AG and SolarPark Engineering Co...

214

Assessing the Impact of Different Satellite Retrieval Methods on Forecast Available Potential Energy  

Science Conference Proceedings (OSTI)

The isentropic form for available potential energy (APE) is used to analyze the impact of the inclusion of satellite temperature retrieval data on forecasts made with the NASA Goddard Laboratory for Atmospheres (GLA) fourth order model. Two ...

Linda M. Whittaker; Lyle H. Horn

1990-01-01T23:59:59.000Z

215

DND: a model for forecasting electrical energy usage by water-resource subregion  

SciTech Connect

A forecast methodology was derived from principles of econometrics using exogenous variables, i.e., cost of electricity, consumer income, and price elasticity as indicators of growth for each consuming sector: residential, commercial, and industrial. The model was calibrated using forecast data submitted to the Department of Energy (DOE) by the nine Regional Electric Reliability Councils. Estimates on electrical energy usage by specific water-resource subregion were obtained by normalizing forecasted total electrical energy usage by state into per capita usage. The usage factor and data on forecasted population were applied for each water resource subregion. The results derived using the model are self-consistent and in good agreement with DOE Energy Information Administration projections. The differences that exist are largely the result of assumptions regarding specific aggregations and assignment of regional-system reliability and load factors. 8 references, 2 figures, 13 tables.

Sonnichsen, J.C. Jr.

1980-02-01T23:59:59.000Z

216

World Energy Consumption by Region, 1970-2020  

U.S. Energy Information Administration (EIA)

In the IEO2000 reference case, much of the growth in worldwide energy use is projected for the developing world. In particular, energy demand in developing Asia ...

217

Future world energy demand driven by trends in developing ...  

U.S. Energy Information Administration (EIA)

EIA's International Energy Outlook 2013 (IEO2013) projects that growth in world energy use largely comes from countries outside of the Organization ...

218

EIA projects world energy consumption will increase 56% by ...  

U.S. Energy Information Administration (EIA)

EIA's recently released International Energy Outlook 2013 (IEO2013) projects that world energy consumption will grow by 56% between 2010 and 2040, ...

219

Wind and Wave Extremes over the World Oceans From Very Large Forecast Ensembles  

E-Print Network (OSTI)

Global return value estimates of significant wave height and 10-m neutral wind speed are estimated from very large aggregations of archived ECMWF ensemble forecasts at +240-h lead time from the period 2003-2012. The upper percentiles are found to match ENVISAT wind speed better than ERA-Interim (ERA-I), which tends to be biased low. The return estimates are significantly higher for both wind speed and wave height in the extratropics and the subtropics than what is found from ERA-I, but lower than what is reported by Caires and Sterl (2005) and Vinoth and Young (2011). The highest discrepancies between ERA-I and ENS240 are found in the hurricane-prone areas, suggesting that the ensemble comes closer than ERA-I in capturing the intensity of tropical cyclones. The width of the confidence intervals are typically reduced by 70% due to the size of the data sets. Finally, non-parametric estimates of return values were computed from the tail of the distribution. These direct return estimates compare very well with Ge...

Breivik, yvind; Abdalla, Saleh; Bidlot, Jean-Raymond

2013-01-01T23:59:59.000Z

220

Consensus forecast of U. S. energy supply and demand to the year 2000  

DOE Green Energy (OSTI)

Methods used in forecasting energy supply and demand are described, and recent forecasts are reviewed briefly. Forecasts to the year 2000 are displayed in tables and graphs and are used to prepare consensus forecasts for each form of fuel and energy supply. Fuel demand and energy use by consuming sector are tabulated for 1972 and 1975 for the various fuel forms. The distribution of energy consumption by use sector, as projected for the years 1985 and 2000 in the ERDA-48 planning report (Scenario V), is normalized to match the consensus energy supply forecasts. The results are tabulated listing future demand for each fuel and energy form by each major energy-use category. Recent estimates of U.S. energy resources are also reviewed briefly and are presented in tables for each fuel and energy form. The outlook for fossil fuel resources to the year 2040, as developed by the Institute for Energy Analysis at the Oak Ridge Associated Universities, is also presented.

Lane, J.A.

1976-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Summary World Wind Energy Data (from World on the Edge) | OpenEI  

Open Energy Info (EERE)

the Earth Policy Institute. This wind energy dataset includes the following cumulative installed wind power capacity datasets: World (1980 - 2009); Top ten countries (1980 -...

222

Armenia-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

World Bank Climate Projects World Bank Climate Projects Jump to: navigation, search Name Armenia-World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy, Land Focus Area Energy Efficiency, Renewable Energy, Geothermal Topics Background analysis Website http://web.worldbank.org/exter Country Armenia Western Asia References World Bank-Armenia [1] Contents 1 World Bank Active Climate Projects in Armenia 1.1 GEOFUND 2: Armenia Geothermal Project 1.2 Renewable Energy Project 1.3 Renewable Energy GEF Project 2 References World Bank Active Climate Projects in Armenia GEOFUND 2: Armenia Geothermal Project Renewable Energy Project Renewable Energy GEF Project GEOFUND 2: Armenia Geothermal Project "The objective of the Second GeoFund Geothermal Project for Armenia is to

223

International Energy Outlook 2000 - Environmental Issues and World Energy  

Gasoline and Diesel Fuel Update (EIA)

In the coming decades, global environmental issues could significantly affect patterns of energy use around the world. Any future efforts to limit carbon emissions are likely to alter the composition of total energy-related carbon emissions by energy source. In the coming decades, global environmental issues could significantly affect patterns of energy use around the world. Any future efforts to limit carbon emissions are likely to alter the composition of total energy-related carbon emissions by energy source. The importance of carbon dioxide emissions as an environmental issue of international concern has grown substantially since 1992, when the United Nations Framework Convention on Climate Change was adopted because of increasing concern over rising atmospheric concentrations of greenhouse gases and their possible adverse effects on the global climate system. World energy use has emerged at the center of the issue. The two major anthropogenic (human-caused) sources of carbon dioxide emissions worldwide are the combustion of fossil fuels and land-use changes

224

Modeling and Analysis Papers - Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Evaluation > Table 1 Evaluation > Table 1 Table 1. Comparison of Absolute Percent Errors for AEO Forecast Evaluation, 1996 to 2002 Average Absolute Percent Error Variable AEO82 to AEO97 AEO82 to AEO98 AEO82 to AEO99 AEO82 to AEO2000 AEO82 to AEO2001 AEO82 to AEO2002 Consumption Total Energy Consumption 1.6 1.7 1.7 1.8 1.9 1.9 Total Petroleum Consumption 2.8 2.9 2.8 2.9 3.0 2.9 Total Natural Gas Consumption 5.8 5.7 5.6 5.6 5.5 5.5 Total Coal Consumption 2.7 3.0 3.2 3.3 3.5 3.6 Total Electricity Sales 1.6 1.7 1.8 1.9 2.4 2.5 Production Crude Oil Production 4.2 4.3 4.5 4.5 4.5 4.5 Natural Gas Production 5.0 4.8 4.7 4.6 4.6 4.4 Coal Production 3.7 3.6 3.6 3.5 3.7 3.6 Imports and Exports Net Petroleum Imports 10.1 9.5 8.8 8.4 7.9 7.4 Net Natural Gas Imports 17.4 16.7 16.0 15.9 15.8 15.8 Net Coal Exports

225

What the World's Greatest Energy Managers Do Differently  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

the World's GREATEST the World's GREATEST Energy Managers Do Differently? Nasr Alkadi, PhD, CEM U.S. DOE Advanced Manufacturing Office (AMO) Tuesday Webcast for Industry Role of an Energy Manager July 10, 2012 Oak Ridge National Laboratory (ORNL) is DOE's Largest Science and Energy Laboratory  World's most powerful open scientific computer  Operating the world's most intense pulsed neutron source and a world-class research reactor  $1.4B budget  4,550 employees  4,000 research guests annually  $500M invested in modernization  Nation's most diverse energy portfolio  Nation's largest

226

On-line economic optimization of energy systems using weather forecast information.  

Science Conference Proceedings (OSTI)

We establish an on-line optimization framework to exploit weather forecast information in the operation of energy systems. We argue that anticipating the weather conditions can lead to more proactive and cost-effective operations. The framework is based on the solution of a stochastic dynamic real-time optimization (D-RTO) problem incorporating forecasts generated from a state-of-the-art weather prediction model. The necessary uncertainty information is extracted from the weather model using an ensemble approach. The accuracy of the forecast trends and uncertainty bounds are validated using real meteorological data. We present a numerical simulation study in a building system to demonstrate the developments.

Zavala, V. M.; Constantinescu, E. M.; Krause, T.; Anitescu, M.

2009-01-01T23:59:59.000Z

227

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

Open Energy Info (EERE)

TIER Environmental Forecast Group Inc 3TIER TIER Environmental Forecast Group Inc 3TIER Jump to: navigation, search Name 3TIER Environmental Forecast Group Inc (3TIER) Place Seattle, Washington Zip 98121 Sector Renewable Energy Product Seattle-based, renewable energy assessment and forecasting company. Coordinates 47.60356°, -122.329439° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":47.60356,"lon":-122.329439,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

228

World Energy Projection System Plus Model Documentation: Industrial Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) World Industrial Model (WIM). It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Peter Gross

2011-10-12T23:59:59.000Z

229

U.S. Department of Energy Workshop Report: Solar Resources and Forecasting  

DOE Green Energy (OSTI)

This report summarizes the technical presentations, outlines the core research recommendations, and augments the information of the Solar Resources and Forecasting Workshop held June 20-22, 2011, in Golden, Colorado. The workshop brought together notable specialists in atmospheric science, solar resource assessment, solar energy conversion, and various stakeholders from industry and academia to review recent developments and provide input for planning future research in solar resource characterization, including measurement, modeling, and forecasting.

Stoffel, T.

2012-06-01T23:59:59.000Z

230

International Energy Outlook 2006 - World Energy and Economic Outlook  

Gasoline and Diesel Fuel Update (EIA)

2: Energy Consumption by End-Use Sector 2: Energy Consumption by End-Use Sector In the IEO2006 projections, end-use energy consumption in the residential, commercial, industrial, and transportation sectors varies widely among regions and from country to country. One way of looking at the future of world energy markets is to consider trends in energy consumption at the end-use sector level. With the exception of the transportation sector, which is almost universally dominated by petroleum products at present, the mix of energy use in the residential, commercial, and industrial sectors varies widely by region, depending on a combination of regional factors, such as the availability of energy resources, the level of economic development, and political, social, and demographic factors. This chapter outlines the IEO2006 projections for

231

European Wind Energy Conference -Brussels, Belgium, April 2008 Data mining for wind power forecasting  

E-Print Network (OSTI)

European Wind Energy Conference - Brussels, Belgium, April 2008 Data mining for wind power-term forecasting of wind energy produc- tion up to 2-3 days ahead is recognized as a major contribution the improvement of predic- tion systems performance is recognised as one of the priorities in wind energy research

Paris-Sud XI, Université de

232

MPC for Wind Power Gradients --Utilizing Forecasts, Rotor Inertia, and Central Energy Storage  

E-Print Network (OSTI)

MPC for Wind Power Gradients -- Utilizing Forecasts, Rotor Inertia, and Central Energy Storage iterations. We demonstrate our method in simulations with various wind scenarios and prices for energy. INTRODUCTION Today, wind power is the most important renewable energy source. For the years to come, many

233

Ghana-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

World Bank Climate Projects World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy, Land Focus Area Renewable Energy, Forestry Topics Background analysis, Co-benefits assessment, - Energy Access, Finance Country Ghana Western Africa References World Bank Project Database - Ghana [1] Contents 1 Active World Bank Climate Projects in Ghana 1.1 Forest Carbon Partnership Facility Readiness Grant 1.2 Energy Development and Access Project (GEDAP) 1.3 Ghana Rural Energy Access - Global Env. Project 1.4 Ghana Natural Resources and Environmental Governance 2 References Active World Bank Climate Projects in Ghana Forest Carbon Partnership Facility Readiness Grant (.2M - Active) Energy Development and Access Project - IBRD/IDA (90M - Active) Ghana Rural Energy Access - Global Env. Project (5.5M - Active).

234

Jordan-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

World Bank Climate Projects World Bank Climate Projects Jump to: navigation, search Name Jordan-World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy Focus Area Energy Efficiency, Renewable Energy, Biomass, Wind Topics Background analysis Country Jordan Western Asia References World Bank project database[1] Contents 1 World Bank Active Climate Projects in Jordan 1.1 Jordan Energy Efficiency 1.2 Promotion of a Wind Power Market 1.3 JO-Amman Landfill Gas Recovery 1.4 Integrated Ecosystems in the Jordan Rift Valley 2 References World Bank Active Climate Projects in Jordan Jordan Energy Efficiency (1M) GEF Medium Sized Program Promotion of a Wind Power Market (6M) Global Environment Project JO-Amman Landfill Gas Recovery (15M) Carbon Offset Integrated Ecosystems in the Jordan Rift Valley (6.15M) Global

235

Summary World Biofuels Energy Data (from World on the Edge) | OpenEI  

Open Energy Info (EERE)

Biofuels Energy Data (from World on the Edge) Biofuels Energy Data (from World on the Edge) Dataset Summary Description This dataset presents summary information related to world biofuels production. It is part of a supporting dataset for the book World On the Edge: How to Prevent Environmental and Economic Collapse by Lester R. Brown, available from the Earth Policy Institute. This biofuels dataset includes the following ethanol production data: World (1975 - 2010); ten leading countries in the world (2010); U.S. (1978 - 2010); Brazil (1975 - 2010); China (2002 - 2010); E.U. (1992 - 2010), as well as Corn production and use for ethanol in the U.S. (1980 - 2010). Also included is biodiesel production data for: World (1991 - 2010); five leading countries (2010); U.S. (2000 - 2010); and the E.U. (2000 - 2010).

236

Forecasting multi-appliance usage for smart home energy management  

Science Conference Proceedings (OSTI)

We address the problem of forecasting the usage of multiple electrical appliances by domestic users, with the aim of providing suggestions about the best time to run appliances in order to reduce carbon emissions and save money (assuming time-of-use ...

Ngoc Cuong Truong, James McInerney, Long Tran-Thanh, Enrico Costanza, Sarvapali D. Ramchurn

2013-08-01T23:59:59.000Z

237

India-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

India-World Bank Climate Projects India-World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy, Land Focus Area Energy Efficiency, Renewable Energy Topics Background analysis Country India Southern Asia References World Bank project database[1] Contents 1 World Bank Active Climate Projects in India 1.1 INDIA - Financing Energy Efficiency at SMEs 1.2 Karnataka Wind 1.3 Street Lighting Energy Efficiency 1.4 Sustainable Urban Transport Project 1.5 Karnataka Municipal Water Energy Efficiency Project 1.6 Sustainable Rural Livelihoods and Security through Innovations in Land and Ecosystem Mgmt /Additional GEF financing to India NAIP 1.7 Chiller Energy Efficiency 1.8 INDIA Chiller Energy Effiency Carbon Finance Operation 1.9 Coal-Fired Generation Rehabilitation 1.10 India - Chiller Energy Efficiency Project - MP Component

238

EIA - International Energy Outlook 2009-Preface  

Gasoline and Diesel Fuel Update (EIA)

5 discusses the projections for world electricity marketsincluding nuclear power, hydropower, and other commercial renewable energy resources and presents forecasts of world...

239

International Energy Outlook 1999 - Environmental Issues and World Energy  

Gasoline and Diesel Fuel Update (EIA)

environmental.jpg (13264 bytes) environmental.jpg (13264 bytes) In the coming decades, global environmental issues could significantly affect patterns of energy use around the world. This chapter examines the factors that govern national levels of energy-related carbon emissions. In recent years, the principal international energy issues have shifted from supply interruptions and their implications for energy security and price stability to the impact of energy production and consumption on regional and global environments. Frequently, regional and global environmental goals are in conflict. For example, nuclear or hydropower energy projects may be opposed within a given country, while on a global scale they lessen emissions of carbon dioxide—the principal greenhouse gas. Although the focus of this analysis is on global environmental issues

240

Event:World Energy Forum 2012 | Open Energy Information  

Open Energy Info (EERE)

Forum 2012 Forum 2012 Jump to: navigation, search Calendar.png World Energy Forum 2012: on 2012/10/22 "The United Nations has designated 2012 as the International Year of Sustainable Energy for All. At the Forum, leaders from Member States of the United Nations , international organizations, and corporations will seek tangible progress towards cleaner, safer, and more sustainable energy as well as achieving universal access to modern energy services. One of the primary objectives of this conference is to chart a roadmap for a sustainable energy mix that can fuel global economic and social development. The forum provides a unique opportunity to exchange new ideas on global energy issues from the perspectives of policy, technology, and business." Event Details

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

World Wind Energy Association WWEA | Open Energy Information  

Open Energy Info (EERE)

Wind Energy Association WWEA Wind Energy Association WWEA Jump to: navigation, search Name World Wind Energy Association (WWEA) Place Bonn, Germany Zip 53113 Sector Renewable Energy Product WWEA plays an active role in the World Council for Renewable Energies and cooperates with further international renewable energy organisations in order to work for a full substitution of all polluting and hazardous waste causing energies. Coordinates 50.7323°, 7.101695° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":50.7323,"lon":7.101695,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

242

World Energy Projection System Plus (WEPS+): Global Activity Module  

Reports and Publications (EIA)

World Energy Projection System Plus Model Documentation: Global Activity Module Documents the objectives, analytical approach, and development of the World Energy Projection Plus (WEPS+) Global Activity Module (GAM) used to develop the International Energy Outlook for 2013 (IEO2013). The report catalogues and describes the module assumptions, computations, methodology, parameter estimation techniques, and mainframe source code

Vipin Arora

2013-10-23T23:59:59.000Z

243

Annual Energy Outlook 2001-Appendix G: Major Assumptions for the Forecasts  

Gasoline and Diesel Fuel Update (EIA)

Forecasts Forecasts Summary of the AEO2001 Cases/ Scenarios - Appendix Table G1 bullet1.gif (843 bytes) Model Results (Formats - PDF, ZIP) - Appendix Tables - Reference Case - 1998 to 2020 bullet1.gif (843 bytes) Download Report - Entire AEO2001 (PDF) - AEO2001 by Chapters (PDF) bullet1.gif (843 bytes) Acronyms bullet1.gif (843 bytes) Contacts Related Links bullet1.gif (843 bytes) Assumptions to the AEO2001 bullet1.gif (843 bytes) Supplemental Data to the AEO2001 (Only available on the Web) - Regional and more detailed AEO 2001 Reference Case Results - 1998, 2000 to 2020 bullet1.gif (843 bytes) NEMS Conference bullet1.gif (843 bytes) Forecast Homepage bullet1.gif (843 bytes) EIA Homepage Appendix G Major Assumptions for the Forecasts Component Modules Major Assumptions for the Annual Energy Outlook 2001

244

World Bank Safeguard Policies | Open Energy Information  

Open Energy Info (EERE)

World Bank Safeguard Policies World Bank Safeguard Policies Jump to: navigation, search Tool Summary LAUNCH TOOL Name: World Bank Safeguard Policies Agency/Company /Organization: World Bank Topics: Policies/deployment programs Resource Type: Guide/manual, Training materials, Lessons learned/best practices Website: web.worldbank.org/WBSITE/EXTERNAL/PROJECTS/EXTPOLICIES/EXTSAFEPOL/0,,m References: World Bank Safeguard Policies [1] Overview "The World Bank's environmental and social safeguard policies are a cornerstone of its support to sustainable poverty reduction. The objective of these policies is to prevent and mitigate undue harm to people and their environment in the development process. These policies provide guidelines for bank and borrower staffs in the identification, preparation, and

245

Energy-GDP decoupling in a second best world -A case study on India Cline Guivarcha,*  

E-Print Network (OSTI)

Analysis and Forecasting, U.S. Department of Energy, Washington, DC. 274pp. EIA (2008) International Energy Outlook 2008. Office of Integrated Analysis and Forecasting, U.S. Department of Energy, Washington, DC.S. Department of Energy, Washington, DC. 220pp. EIA (2006) International Energy Outlook 2006. Office

246

World Waste Technologies | Open Energy Information  

Open Energy Info (EERE)

navigation, search Name World Waste Technologies Place San Diego, California Sector Biofuels Product Technology developer that focuses on converting municipal solid waste into...

247

Free World Energy Resources--Petroleum, Coal, Nuclear  

Science Conference Proceedings (OSTI)

Jan 1, 1971 ... Free World Energy Resources--Petroleum, Coal, Nuclear ... William Pitt the Younger in terms of the development of steam as a source of power.

248

World Energy Intensity by Region, 1970-2020  

U.S. Energy Information Administration (EIA)

If energy intensities in the developing world are assumed to increase by 136 percentthe most rapid annual rate of increase observed between 1990 and 1997 ...

249

EIA projects world energy consumption will increase 56% by ...  

U.S. Energy Information Administration (EIA)

However, fossil fuels continue to supply nearly 80% of world energy use through 2040. Natural gas is the fastest-growing fossil fuel, ...

250

World Energy Consumption by Region, 1970-2020  

Gasoline and Diesel Fuel Update (EIA)

for the developing world. In particular, energy demand in developing Asia (including China, India, and South Korea, but excluding Australia, Japan, and New Zealand) and Central...

251

World Energy Consumption: IEO99 vs. IEO98  

U.S. Energy Information Administration (EIA)

... world energy consumption increases by about 65 percent by ... Asia and Russia. ... to build and are often more efficient than other means of power generation.

252

Georgia-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

Bank Climate Projects AgencyCompany Organization World Bank Focus Area Renewable Energy, Hydro Topics Background analysis Website http:web.worldbank.orgexter Country...

253

European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. Forecasting of Regional Wind Generation by a Dynamic  

E-Print Network (OSTI)

European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. Forecasting of Regional Wind forecasting. I. INTRODUCTION HE actual large-scale integration of wind energy in several European countries enhance the position of wind energy compared to other dispatchable forms of generation. Predicting

Paris-Sud XI, Université de

254

Summary Short?Term Energy Outlook Supplement: Energy Price Volatility and Forecast Uncertainty 1  

E-Print Network (OSTI)

It is often noted that energy prices are quite volatile, reflecting market participants adjustments to new information from physical energy markets and/or markets in energyrelated financial derivatives. Price volatility is an indication of the level of uncertainty, or risk, in the market. This paper describes how markets price risk and how the marketclearing process for risk transfer can be used to generate price bands around observed futures prices for crude oil, natural gas, and other commodities. These bands provide a quantitative measure of uncertainty regarding the range in which markets expect prices to trade. The Energy Information Administrations (EIA) monthly Short-Term Energy Outlook (STEO) publishes base case projections for a variety of energy prices that go out 12 to 24 months (every January the STEO forecast is extended through December of the following year). EIA has recognized that all price forecasts are highly uncertain and has described the uncertainty by identifying the market factors that may significantly move prices away from their expected paths, such as economic growth, Organization of Petroleum Exporting Countries (OPEC) behavior, geo-political events, and hurricanes.

unknown authors

2009-01-01T23:59:59.000Z

255

Bangladesh-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

Bangladesh-World Bank Climate Projects Bangladesh-World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy Focus Area Energy Efficiency, Renewable Energy, Solar Topics Market analysis, Background analysis Country Bangladesh Southern Asia References World Bank Project Database - Bangladesh[1] Contents 1 World Bank Active Climate Projects in Bangladesh 1.1 Solar Home Systems project 1.2 EGY SEC ADJ CREDIT SUPPLEMENT 1.3 Bangladesh - Brick Kiln Efficiency 1.4 Renewable Energy Development Project 1.5 Grameen Shakti Solar Homes Project 1.6 Rural Electrification and Renewable Energy Development 2 References World Bank Active Climate Projects in Bangladesh Solar Home Systems project (1M - Active) EGY SEC ADJ CREDIT SUPPLEMENT (2.3M Active) Bangladesh - Brick Kiln Efficiency (N/A Active)

256

World Energy Council 17th Congress  

U.S. Energy Information Administration (EIA)

The Energy Policy Act of 1992 specifically requested the development of information on energy efficiency. Furthermore, ...

257

World Economic Forum | Open Energy Information  

Open Energy Info (EERE)

World Economic Forum World Economic Forum Jump to: navigation, search Logo: The World Economic Forum (WEF) Name The World Economic Forum (WEF) Address World Economic Forum Switzerland 91-93 route de la Capite, CH-1223 Cologny/Geneva Switzerland Year founded 1971 Website http://www.weforum.org Coordinates 46.2169537°, 6.18583° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.2169537,"lon":6.18583,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

258

The World Bank - Transport | Open Energy Information  

Open Energy Info (EERE)

The World Bank - Transport The World Bank - Transport Jump to: navigation, search Tool Summary LAUNCH TOOL Name: The World Bank - Transport Agency/Company /Organization: The World Bank Focus Area: Governance - Planning - Decision-Making Structure Topics: Analysis Tools Resource Type: Website Website: go.worldbank.org/0SYYVJWB40 This website provides relevant information about transport, focusing on The World Bank Transport Strategy - Safe, Clean and Affordable - Transport for Development. The website includes international publications and toolkits classified by type of transport and/or region/country. How to Use This Tool This tool is most helpful when using these strategies: Avoid - Cut the need for travel Shift - Change to low-carbon modes Improve - Enhance infrastructure & policies

259

Egypt-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

World Bank Climate Projects World Bank Climate Projects Jump to: navigation, search Name Egypt-World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy Focus Area Energy Efficiency, Renewable Energy, Biomass, Wind, Transportation Topics Background analysis Country Egypt Northern Africa References World Bank project database[1] Contents 1 World Bank Active Climate Projects in Egypt 1.1 Egypt Vehicle Scrapping and Recycling Program 1.2 EG-LAND FILLING AND PROCESING SERVICES FOR SOUTHERN ZONE IN CAIRO 1.3 Egypt - Wind Power Development Project 1.4 Pollution Abatement Project 1.5 ONYX solid Waste Alexandria 2 References World Bank Active Climate Projects in Egypt Egypt Vehicle Scrapping and Recycling Program (8.32M) Carbon Offset, Pipeline EG-LAND FILLING AND PROCESING SERVICES FOR SOUTHERN ZONE IN CAIRO

260

Summary World Wind Energy Data (from World on the Edge)

 

Open Energy Info (EERE)

Summary World Wind Energy Data (from World on the Edge)

This dataset presents summary information related...

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

NREL: Power Technologies Energy Data Book - Chapter 4. Forecasts...  

NLE Websites -- All DOE Office Websites (Extended Search)

Databook Home More Search Options Search Site Map Featured Links Biomass Energy Data Book Buildings Energy Data Book Hydrogen Energy Data Book Transportation Energy Data Book...

262

Indonesia-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

World Bank Climate Projects World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy, Land Focus Area Energy Efficiency, Renewable Energy, Geothermal, Forestry Topics Background analysis Country Indonesia South-Eastern Asia References World Bank project database[1] Contents 1 World Bank Active Climate Projects in Indonesia 1.1 Pontianak - LFG Recovery Project, Carbon Offset 1.2 Makassar - TPA Tamangapa Landfill Methane Collection and Flaring 1.3 Geothermal Power Generation Development 1.4 Geothermal Clean Energy Investment Project 1.5 ID-PCF-Indonesia Lahendong Geothermal Project 1.6 ID-PCF-Indocement Cement, Carbon Offset 1.7 Bekasi Landfill Gas Flaring, Carbon Offset 2 References World Bank Active Climate Projects in Indonesia Pontianak - LFG Recovery Project, Carbon Offset

263

World Agroforestry Centre | Open Energy Information  

Open Energy Info (EERE)

World Agroforestry Centre World Agroforestry Centre Jump to: navigation, search Logo: World Agroforestry Centre Name World Agroforestry Centre Address United Nations Avenue, Gigiri PO Box 30677 Place Nairobi, Kenya Year founded 1978 Phone number +254 20 7224000 Coordinates -1.2336742°, 36.8161132° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":-1.2336742,"lon":36.8161132,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

264

World Meteorological Organization | Open Energy Information  

Open Energy Info (EERE)

World Meteorological Organization World Meteorological Organization Jump to: navigation, search Logo: World Meteorological Organization Name World Meteorological Organization Address 7bis, avenue de la Paix, Case postale 2300, CH-211 Place Geneva, Switzerland Coordinates 46.2038099°, 6.1399589° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.2038099,"lon":6.1399589,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

265

Summary World Solar Energy Data (from World on the Edge)  

Open Energy Info (EERE)

Solar Energy Data (from World on the Edge) This dataset presents summary...

266

CONSULTANT REPORT DEMAND FORECAST EXPERT  

E-Print Network (OSTI)

CONSULTANT REPORT DEMAND FORECAST EXPERT PANEL INITIAL forecast, end-use demand modeling, econometric modeling, hybrid demand modeling, energyMahon, Carl Linvill 2012. Demand Forecast Expert Panel Initial Assessment. California Energy

267

Philippines-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

World Bank Climate Projects World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy, Land Focus Area Renewable Energy, Energy Efficiency, Geothermal Topics Background analysis, Co-benefits assessment, - Energy Access Country Philippines South-Eastern Asia References World Bank project database[1] Contents 1 World Bank Active Climate Projects in the Philippines 1.1 PH - Chiller Energy Efficiency Project (2.6M) Global Environment Project 1.2 Additional Financing for Rural Power (40M) IBRD/IDA 1.3 Northern Negros Geothermal Power Project (6.76M) Carbon Offset 1.4 20 MW Palinpinon II Geothermal Optimization Project, Carbon Offset 1.5 Laguna de Bay Community Watershed Rehab, Carbon Offset 1.6 Philippines: Northwind Bangui Bay Project (1.4M) Carbon Offset 1.7 EDSA Bus Reduction Project (6M) Carbon Offset

268

World Renewable Energy Network WREN | Open Energy Information  

Open Energy Info (EERE)

WREN WREN Jump to: navigation, search Name World Renewable Energy Network (WREN) Place Brighton, United Kingdom Zip BN2 1YH Sector Renewable Energy Product WREN is an NGO focused on supporting the utilisation and implementation of renewable energy sources that are environmentally safe and economically sustainable. Coordinates 44.81454°, -71.881084° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.81454,"lon":-71.881084,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

269

World's Largest Solar Energy Project Heads to Mojave | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

World's Largest Solar Energy Project Heads to Mojave World's Largest Solar Energy Project Heads to Mojave World's Largest Solar Energy Project Heads to Mojave April 16, 2010 - 4:47pm Addthis A California company will harness the Mojave Desert sunshine to create the world's largest solar energy system by the end of 2013. The Ivanpah Solar Electric Generating System, located just a few miles from the California - Nevada border near Interstate 15, will generate approximately 400 MW of energy per year, almost doubling the amount of solar thermal energy produced in the United States. Ivanpah will focus sunlight from mirrors placed on poles, which don't require the land to be graded and can be placed around areas that are already in use or environmentally sensitive. The project of Oakland, Calif.-based BrightSource Energy, Inc. will likely generate enough power

270

NETL - World CO2 Emissions - Projected Trends Tool | Open Energy  

Open Energy Info (EERE)

NETL - World CO2 Emissions - Projected Trends Tool NETL - World CO2 Emissions - Projected Trends Tool Jump to: navigation, search Tool Summary LAUNCH TOOL Name: NETL - World CO2 Emissions - Projected Trends Tool Agency/Company /Organization: National Energy Technology Laboratory Sector: Energy Topics: GHG inventory Resource Type: Software/modeling tools Website: www.netl.doe.gov/energy-analyses/refshelf/results.asp?ptype=Models/Too References: NETL - World CO2 Emissions - Projected Trends Tool [1] NETL - World CO2 Emissions - Projected Trends Tool This interactive tool enables the user to look at both total and power sector CO2 emissions from the use of coal, oil, or natural gas, over the period 1990 to 2030. One can use the tool to compare five of the larger CO2 emitters to each other or to overall world emissions. The data are from the

271

Mexico-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

World Bank Climate Projects World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy Focus Area Energy Efficiency, Renewable Energy, Transportation Topics Market analysis, Background analysis Resource Type Dataset Country Mexico Central America References World Bank Project Database - Mexico [1] Contents 1 Active World Bank climate projects in Mexico including 1.1 Urban Transport Transformation 1.2 Efficient Lighting and Appliances 1.3 Sustainable Transport and Air Quality 1.4 Sustainable Rural - IBRD 1.5 Sustainable Rural Development - GEF 1.6 Mexico Framework for Green Growth Development Policy Loan 1.7 Mexico Environmental Sustainability Development Policy Loan 2 References Active World Bank climate projects in Mexico including Urban Transport Transformation (180M Pipeline)

272

Kenya-World Bank Climate Activities | Open Energy Information  

Open Energy Info (EERE)

World Bank Climate Activities World Bank Climate Activities Jump to: navigation, search Name Kenya-World Bank Climate Activities Agency/Company /Organization World Bank Sector Energy, Land Focus Area Energy Efficiency, Renewable Energy, Agriculture Topics Background analysis Country Kenya Eastern Africa References World Bank project database[1] Contents 1 Active World Bank Climate Projects in Kenya 1.1 Kenya: Adaptation to Climate Change in Arid and Semi-Arid Lands (KACCAL) (5.5 M) Global Environment Project, Pipeline 1.2 Kenya Agricultural Carbon Project (1M) Carbon Offset, Pipeline 1.3 CF Kengen, Kiambere, Tana, Eburru (2.77 M) Carbon Offset 1.4 Kenya KenGen Carbon Finance umbrella, Carbon Offset 1.5 Western Kenya Integrated Ecosystem Management Project (4.1M) Global Environment Project

273

Colombia-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

Colombia-World Bank Climate Projects Colombia-World Bank Climate Projects Jump to: navigation, search Name Colombia-World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy, Land Focus Area Energy Efficiency, Renewable Energy, Forestry Topics Background analysis Country Colombia South America References World Bank project database[1] Contents 1 Active World Bank Climate Projects in Colombia 1.1 Rio Frio Carbon Offset Project 1.2 Integrated Mass Transit Systems Second Additional Financing 1.3 Colombia: San Nicolas Carbon Sequestration Project 1.4 CO: Caribbean Savannah Carbon Sink project 1.5 Jepirachi Carbon Off Set Project, Carbon Offset 1.6 COLOMBIA - Amoya River Environmental Services, Carbon Offset 1.7 Colombia: Integrated National Adaptation Program Global Environment Project

274

SolarWorld AG | Open Energy Information  

Open Energy Info (EERE)

SolarWorld AG SolarWorld AG Jump to: navigation, search Name SolarWorld AG Place Bonn, Germany Zip 53113 Product Vertically integrated PV manufacturer, with factories in Freiberg, Germany and Hillsboro, Oregon. Coordinates 50.7323°, 7.101695° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":50.7323,"lon":7.101695,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

275

World Resources Institute (WRI) | Open Energy Information  

Open Energy Info (EERE)

Resources Institute (WRI) Resources Institute (WRI) (Redirected from World Resources Institute) Jump to: navigation, search Logo: World Resources Institute Name World Resources Institute Address 10 G Street, NE (Suite 800) Place Washington, District of Columbia Zip 20002 Year founded 1982 Phone number (202) 729-7600 Coordinates 38.8989821°, -77.0081139° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.8989821,"lon":-77.0081139,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

276

Department of Energy Announces Completion of World's Largest Laser |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Department of Energy Announces Completion of World's Largest Laser Department of Energy Announces Completion of World's Largest Laser Department of Energy Announces Completion of World's Largest Laser March 31, 2009 - 12:00am Addthis WASHINGTON, DC - The Department of Energy today announced that the National Nuclear Security Administration (NNSA) has certified the completion of the historic effort to build the world's largest laser. Housed at the Department of Energy's Lawrence Livermore National Laboratory, the National Ignition Facility (NIF) is expected to allow scientists to achieve fusion ignition in the laboratory, obtaining more energy from the target than is provided by the laser. The completion of NIF opens the door to scientific advancement and discovery that promises to enhance our national security, could help break America's dependence on foreign oil, and will lead to new

277

Department of Energy Finalizes Loan Guarantee to Support World's Largest  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

to Support World's to Support World's Largest Wind Project Department of Energy Finalizes Loan Guarantee to Support World's Largest Wind Project December 16, 2010 - 12:00am Addthis Washington D.C. --- U.S. Energy Secretary Steven Chu today announced that a partial loan guarantee for a $1.3 billion loan has been finalized to support the world's largest wind farm. The loan will finance the Caithness Shepherds Flat project, an 845-megawatt wind generation facility located in eastern Oregon sponsored by Caithness Energy, LLC and GE Energy Financial Services. "Renewable energy investments like these are creating jobs while helping to maintain America's global competitiveness in the clean energy economy," said Secretary Chu. "By leveraging our nation's vast natural resources,

278

World Watch Institute (WWI) | Open Energy Information  

Open Energy Info (EERE)

(Redirected from World Watch Institute) (Redirected from World Watch Institute) Jump to: navigation, search Logo: World Watch Institute Name World Watch Institute Address 1776 Massachusetts Ave., N.W. Place Washington, D.C. Zip 20036-1904 Region Northeast - NY NJ CT PA Area Number of employees 11-50 Year founded 1974 Phone number (+1) 202 452-1999 Website http://www.worldwatch.org/ Coordinates 38.908507°, -77.040778° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.908507,"lon":-77.040778,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

279

Energy estimator for weather forecasts dynamic power management of wireless sensor networks  

Science Conference Proceedings (OSTI)

Emerging Wireless Sensor Networks (WSN) consist of spatially distributed autonomous sensors. Although an embedded battery has limited autonomy, most WSNs outperform this drawback by harvesting ambient energy from the environment. Nevertheless, this external ... Keywords: design tools, dynamic power management, weather forecasts, wireless sensor networks

Nicolas Ferry; Sylvain Ducloyer; Nathalie Julien; Dominique Jutel

2011-09-01T23:59:59.000Z

280

Peru-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

World Bank Climate Projects World Bank Climate Projects Jump to: navigation, search Name Peru-World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy, Land Focus Area Renewable Energy, Hydro, Transportation, Forestry Topics Background analysis Country Peru South America References World Bank Project Database - Peru[1] Contents 1 Active Projects 1.1 Water Resources Management Modernization - IBRD/IDA 1.2 PE Santa Rosa Hydro Carbon Finance 1.3 PERU - Poechos Hydropower Project 1.4 LIMA TRANSPORT 1.5 PE Huaycoloro Landfill Gas Recovery 2 References Active Projects The World Bank currently has the following climate projects active in Peru: Water Resources Management Modernization - IBRD/IDA (10M - Active) PE Santa Rosa Hydro Carbon Finance (1.5M) Carbon Offset PERU - Poechos Hydropower Project (1.2M) Carbon Offset

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

SolarWaterWorld AG | Open Energy Information  

Open Energy Info (EERE)

SolarWaterWorld AG SolarWaterWorld AG Jump to: navigation, search Name SolarWaterWorld AG Place Berlin, Berlin, Germany Zip 10559 Sector Solar Product Berlin-headquartered maker of solar-powered boats. References SolarWaterWorld AG[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. SolarWaterWorld AG is a company located in Berlin, Berlin, Germany . References ↑ "SolarWaterWorld AG" Retrieved from "http://en.openei.org/w/index.php?title=SolarWaterWorld_AG&oldid=351441" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load)

282

Chile-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

World Bank Climate Projects World Bank Climate Projects Jump to: navigation, search Name Chile-World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy Topics Background analysis Resource Type Dataset Country Chile South America References World Bank Project Database - Chile[1] Contents 1 World Bank Active Climate Projects in Chile 1.1 CL Securitization and Carbon Sinks Project 1.2 Chile Santiago Composting Project 1.3 Chile Quilleco Hydropower Project 1.4 Chile Hornitos Project (Chacabuquito II) 1.5 Sustainable Transport and Air Quality for Santiago (GEF) 1.6 Chile Sustainable Land Management Project 2 References World Bank Active Climate Projects in Chile CL Securitization and Carbon Sinks Project Chile Santiago Composting Project Chile Quilleco Hydropower Project

283

Properties of energy-price forecasts for scheduling  

Science Conference Proceedings (OSTI)

Wholesale electricity markets are becoming ubiquitous, offering consumers access to competitively-priced energy. The cost of energy is often correlated with its environmental impact; for example, environmentally sustainable forms of energy might benefit ...

Georgiana Ifrim; Barry O'Sullivan; Helmut Simonis

2012-10-01T23:59:59.000Z

284

Optimized renewable energy forecasting in local distribution networks  

Science Conference Proceedings (OSTI)

The integration of renewable energy sources (RES) into local energy distribution networks becomes increasingly important. Renewable energy highly depends on weather conditions, making it difficult to maintain stability in such networks. To still enable ...

Robert Ulbricht; Ulrike Fischer; Wolfgang Lehner; Hilko Donker

2013-03-01T23:59:59.000Z

285

The World Bank Partnership for Market Readiness (PMR) | Open Energy  

Open Energy Info (EERE)

for Market Readiness (PMR) for Market Readiness (PMR) Jump to: navigation, search Logo: The World Bank Partnership for Market Readiness (PMR) - Brazil Name The World Bank Partnership for Market Readiness (PMR) - Brazil Agency/Company /Organization World Bank Partner Australia, Denmark, EC, Germany, Japan, Netherlands, Norway Spain, Switzerland, UK, and US Sector Climate, Energy Focus Area Non-renewable Energy, Buildings, Economic Development, Energy Efficiency, Goods and Materials, Greenhouse Gas, Grid Assessment and Integration, Industry, Offsets and Certificates, People and Policy, Transportation Topics Baseline projection, Finance, GHG inventory, Implementation, Low emission development planning, Market analysis, Policies/deployment programs Website http://wbcarbonfinance.org/Rou

286

World Health Organization (WHO) | Open Energy Information  

Open Energy Info (EERE)

Organization (WHO) Organization (WHO) Jump to: navigation, search Logo: World Health Organization (WHO) Name World Health Organization (WHO) Address 20, avenue Appia 1211 Geneva, Switzerland Place Geneva, Switzerland Website http://www.who.int/en/ Coordinates 46.2327276°, 6.1343571° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.2327276,"lon":6.1343571,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

287

World Trade Organization | Open Energy Information  

Open Energy Info (EERE)

Logo: World Trade Organization Name World Trade Organization Address Rue de Lausanne 154, CH-1211 Place Geneva, Switzerland Number of employees 501-1000 Phone number +41 (0)22 739 51 11 Website http://www.wto.org/index.htm Coordinates 46.2238973°, 6.1496442° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.2238973,"lon":6.1496442,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

288

World Wildlife Fund | Open Energy Information  

Open Energy Info (EERE)

Wildlife Fund Wildlife Fund Jump to: navigation, search Logo: World Wildlife Fund Name World Wildlife Fund Address 1250 Twenty-Fourth Street, N.W. Place Washington, DC Zip 20090-7180 Region Northeast - NY NJ CT PA Area Website http://www.worldwildlife.org Coordinates 38.92°, -76.99° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.92,"lon":-76.99,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

289

South Africa-World Bank Climate Activities | Open Energy Information  

Open Energy Info (EERE)

Activities Activities Jump to: navigation, search Name South Africa-World Bank Climate Activities Agency/Company /Organization World Bank Sector Energy Focus Area Energy Efficiency, Renewable Energy Topics Background analysis Country South Africa Southern Africa References World Bank Climate Project Database - South Africa[1] Contents 1 Active World Bank Climate Projects in South Africa 1.1 South African Cities EE and RE program 1.2 RE Market Transformation - Global Env. Project 1.3 ESKOM Power Investment Support Project 1.4 Durban Landfill Gas-to-Electricity Project, Carbon Offset 2 References Active World Bank Climate Projects in South Africa South African Cities EE and RE program (.4M - Active) RE Market Transformation - Global Env. Project (6M - Active) ESKOM Power Investment Support Project - IBRD/IDA (3750M -

290

Low Carbon Jobs in an Interconnected World | Open Energy Information  

Open Energy Info (EERE)

Jobs in an Interconnected World Jobs in an Interconnected World Jump to: navigation, search Name Low Carbon Jobs in an Interconnected World Agency/Company /Organization Global Climate Network Partner Institute for Public Policy Research Sector Energy Focus Area Energy Efficiency, Renewable Energy Topics Co-benefits assessment, Background analysis Website http://www.ippr.org.uk/publica Country Australia, Brazil, China, Germany, India, Nigeria, South Africa, United Kingdom, United States Australia and New Zealand, South America, Eastern Asia, Western Europe, Southern Asia, Western Africa, Southern Africa, Northern Europe, Northern America References Low Carbon Jobs in an Interconnected World[1] Low Carbon Jobs in an Interconnected World Author: Global Climate Network Price: Free Publication Date: 30 March 2010

291

Brazil-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

Brazil-World Bank Climate Projects Brazil-World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy, Land Focus Area Energy Efficiency, Renewable Energy, Transportation Topics Finance, Background analysis Website http://web.worldbank.org/exter Country Brazil UN Region Latin America and the Caribbean References World Bank Project Database-Brazil[1] Contents 1 World Bank Active Climate Projects in Brazil 1.1 Sao Paulo Metro Line 5 Project 1.2 BR-GEF Sustainable Transport and Air Quality Project (STAQ) 1.3 First Programmatic Development Policy Loan for Sustainable Environmental Management 1.4 BR Nova Gerar Carbon Finance and Solid Waste Management Project II 1.5 BR Lages Woodwaste Cogeneration 1.6 PCF Sugar Bagasse Cogeneration Project 1.7 Nova Gerar Landfill Rio de Janeiro

292

World Energy Projection System Plus: An Overview  

Reports and Publications (EIA)

This report contains a summary description of the methodology and scope of WEPS+ and each of its component models. WEPS+ is a computer-based, energy modeling system of long-term international energy markets for the period through 2035. The system was used to produce the International Energy Outlook 2011.

Brian Murphy

2011-09-29T23:59:59.000Z

293

Financial Times-World Energy Council Energy Leaders Summit | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Financial Times-World Energy Council Energy Leaders Summit Financial Times-World Energy Council Energy Leaders Summit Financial Times-World Energy Council Energy Leaders Summit September 16, 2008 - 3:43pm Addthis Remarks for (Acting) Deputy Energy Secretary Jeffrey F. Kupfer Thank you very much. It's a pleasure to be here among so many distinguished speakers and attendees. And I applaud the Financial Times and the World Energy Council for hosting this important summit together. There are few issues more timely and pressing than the need to secure our global energy future. The fact is, we face a new energy reality. The International Energy Agency's (IEA) most recent World Energy Outlook estimates the world's primary energy needs will grow by 55 percent by 2030. As we address this increased global energy demand, we must also address the environmental

294

How much of the world's energy does the United States use? - FAQ ...  

U.S. Energy Information Administration (EIA)

How much of the world's energy does the United States use? In 2010, world total primary energy consumption was 511 quadrillion Btu. The United States' primary energy ...

295

Energy Department Advances Research on Methane Hydrates - the World's  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Energy Department Advances Research on Methane Hydrates - the Energy Department Advances Research on Methane Hydrates - the World's Largest Untapped Fossil Energy Resource Energy Department Advances Research on Methane Hydrates - the World's Largest Untapped Fossil Energy Resource August 31, 2012 - 1:20pm Addthis News Media Contact (202) 586-4940 WASHINGTON, D.C. - The Energy Department today announced the selection of 14 new research projects across 11 states that will be a part of an expanding portfolio of projects designed to increase our understanding of methane hydrates' potential as a future energy supply. Methane hydrates are 3D ice-lattice structures with natural gas locked inside, and are found both onshore and offshore - including under the Arctic permafrost and in ocean sediments along nearly every continental shelf in the world.

296

Short-Termed Integrated Forecasting System: 1993 Model documentation report  

Science Conference Proceedings (OSTI)

The purpose of this report is to define the Short-Term Integrated Forecasting System (STIFS) and describe its basic properties. The Energy Information Administration (EIA) of the US Energy Department (DOE) developed the STIFS model to generate short-term (up to 8 quarters), monthly forecasts of US supplies, demands, imports exports, stocks, and prices of various forms of energy. The models that constitute STIFS generate forecasts for a wide range of possible scenarios, including the following ones done routinely on a quarterly basis: A base (mid) world oil price and medium economic growth. A low world oil price and high economic growth. A high world oil price and low economic growth. This report is written for persons who want to know how short-term energy markets forecasts are produced by EIA. The report is intended as a reference document for model analysts, users, and the public.

Not Available

1993-05-01T23:59:59.000Z

297

Renewable Energy for a Sustainable World: 2004  

Science Conference Proceedings (OSTI)

The brochures contained on this CD-ROM address the status of each of the major renewable energy technologies biomass, geothermal, small hydroelectric, photovoltaics, and wind power as well as renewables in general. The brochures are based largely on technology assessments prepared by EPRI and the U.S. Department of Energy as well as recent editions of the EPRI "Renewable Energy Technical Assessment Guide" (TAG-RE). They are intended to help inform general audiences, policymakers, and indu...

2005-03-31T23:59:59.000Z

298

A Report to the World Energy Council  

NLE Websites -- All DOE Office Websites (Extended Search)

Martin, and Lynn Price of LBNL and Ernst Worrell of Utrecht University, analyzes energy use in industry and buildings drawing examples from 23 commissioned case studies of...

299

World Bank Data Catalog | Open Energy Information  

Open Energy Info (EERE)

World Bank Data Catalog World Bank Data Catalog Jump to: navigation, search Tool Summary LAUNCH TOOL Name: World Bank Data Catalog Agency/Company /Organization: World Bank Resource Type: Dataset Website: data.worldbank.org/data-catalog UN Region: Central Asia, Eastern Asia, South-Eastern Asia, "Pacific" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property., "Latin America and Caribbean" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property., "Western Asia & North Africa" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property., Northern America, "South Asia" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property., "Sub-Saharan Africa" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property., "Western & Eastern Europe" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property.

300

Chasing the Sun: Solar Adventures Around the World | Open Energy  

Open Energy Info (EERE)

Chasing the Sun: Solar Adventures Around the World Chasing the Sun: Solar Adventures Around the World Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Chasing the Sun: Solar Adventures Around the World Agency/Company /Organization: Neville Williams Sector: Energy Focus Area: Solar Topics: Co-benefits assessment, - Energy Access Resource Type: Publications User Interface: Other Website: www.amazon.com/Chasing-Sun-Solar-Adventures-Around/dp/0865715378/ref=s Cost: Paid A story of dreamers and doers who succeeded in their mission to make the world better by delivering nature's energy to poor people and by building organizations to put the sun at their service in practical, affordable, and effective ways. A green energy development narrative that is fun and eye-opening, the book is also part autobiography.

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

The 2010 Shanghai World Expo: The Challenge for Distributed Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

The 2010 Shanghai World Expo: The Challenge for Distributed Energy Speaker(s): Weijun Gao Date: May 22, 2006 - 12:00pm Location: Bldg. 90 The economy of China is expected continue...

302

Energy Storage: A Vital Element in a Lower Carbon World  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy Storage: A Vital Element in a Lower Carbon World Speaker(s): Mark M. MacCracken Date: September 12, 2013 - 12:00pm - 1:00pm Location: 90-3122 Seminar HostPoint of Contact:...

303

World Energy Projection System Plus Model Documentation: Macroeconomic Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Macroeconomic Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

304

World Energy Projection System Plus Model Documentation: Greenhouse Gases Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Greenhouse Gases Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

2011-09-29T23:59:59.000Z

305

World Energy Projection System Plus Model Documentation: Natural Gas Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Natural Gas Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

306

World Energy Projection System Plus Model Documentation: Main Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Main Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Information Center

2011-01-20T23:59:59.000Z

307

World Energy Projection System Plus Model Documentation: Coal Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Coal Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

308

World Energy Projection System Plus Model Documentation: District Heat Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) District Heat Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

309

World Energy Projection System Plus Model Documentation: Commercial Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Commercial Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

310

World Energy Projection System Plus Model Documentation: Transportation Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) International Transportation model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Victoria Zaretskaya

2011-09-29T23:59:59.000Z

311

World Energy Projection System Plus Model Documentation: Residential Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Residential Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Brian Murphy

2011-09-29T23:59:59.000Z

312

World Energy Projection System Plus Model Documentation: Refinery Model  

Reports and Publications (EIA)

This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Refinery Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

Adrian Geagla

2011-10-04T23:59:59.000Z

313

World Watch Institute (WWI) | Open Energy Information  

Open Energy Info (EERE)

Jump to: navigation, search Jump to: navigation, search Logo: World Watch Institute Name World Watch Institute Address 1776 Massachusetts Ave., N.W. Place Washington, D.C. Zip 20036-1904 Region Northeast - NY NJ CT PA Area Number of employees 11-50 Year founded 1974 Phone number (+1) 202 452-1999 Website http://www.worldwatch.org/ Coordinates 38.908507°, -77.040778° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.908507,"lon":-77.040778,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

314

World Watch Institute (WWI) | Open Energy Information  

Open Energy Info (EERE)

Watch Institute (WWI) Watch Institute (WWI) (Redirected from Worldwatch Institute) Jump to: navigation, search Logo: World Watch Institute Name World Watch Institute Address 1776 Massachusetts Ave., N.W. Place Washington, D.C. Zip 20036-1904 Region Northeast - NY NJ CT PA Area Number of employees 11-50 Year founded 1974 Phone number (+1) 202 452-1999 Website http://www.worldwatch.org/ Coordinates 38.908507°, -77.040778° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.908507,"lon":-77.040778,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

315

Secretary Chu's Remarks at the World Renewable Energy Forum Press  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Chu's Remarks at the World Renewable Energy Forum Press Chu's Remarks at the World Renewable Energy Forum Press Availability - As Prepared for Delivery Secretary Chu's Remarks at the World Renewable Energy Forum Press Availability - As Prepared for Delivery May 16, 2012 - 12:45pm Addthis I want to thank Tom Clark from the Metro Denver Economic Development Corporation and Andrew Oliver from RES Americas for joining us. Renewable energy representatives from across the country are gathered in Denver this week because Colorado is helping to lead the way in clean energy. The state is among the leaders in installed solar capacity. It has had a renewable portfolio standard in place for many years. And it's a hub for clean energy manufacturers from GE to Vestas. Today, we want to talk about the importance of Congress taking action to

316

Static Equilibrium: Forecasting Long-Term Energy Prices  

Science Conference Proceedings (OSTI)

This report describes a static equilibrium model that can be used by power companies to analyze retirement and investment decisions. Given deterministic expectations of prices, technology alternatives, and growth rates, the model defines a long-term equilibrium for an electricity market that can be used as a practical starting point for analyzing dynamic equilibrium, the distribution of outcomes associated with investment and retirement in a probabilistic world. The report includes a spreadsheet that ca...

2005-09-21T23:59:59.000Z

317

Baseballs and Barrels: World Statistics Day | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Baseballs and Barrels: World Statistics Day Baseballs and Barrels: World Statistics Day Baseballs and Barrels: World Statistics Day October 20, 2010 - 1:06pm Addthis Dr. Richard Newell Dr. Richard Newell Does the American League hold more baseball World Series titles than the National League? Yes. Does Saudi Arabia produce more crude oil than Russia? No. How do I know? Statistics. The month of October not only marks the beginning of Major League Baseball's World Series and Energy Awareness Month, but also the celebration of the first ever World Statistics Day on October 20th. Statistics don't just help us answer trivia questions - they also help us make intelligent decisions. If I heat my home with natural gas, I'm probably interested in what natural gas prices are likely to be this winter. If my business manufactures solar panels, I would want to know how

318

Nuclear Power and the World's Energy Requirements  

E-Print Network (OSTI)

The global requirements for energy are increasing rapidly as the global population increases and the under-developed nations become more advanced. The traditional fuels used in their traditional ways will become increasingly unable to meet the demand. The need for a review of the energy sources available is paramount, although the subsequent need to develop a realistic strategy to deal with all local and global energy requirements is almost as important. Here attention will be restricted to examining some of the claims and problems of using nuclear power to attempt to solve this major question.

V. Castellano; R. F. Evans; J. Dunning-Davies

2004-06-10T23:59:59.000Z

319

Dark Energy Density in Brane World  

E-Print Network (OSTI)

We present a possible explanation to the tiny positive cosmological constant under the frame of AdS$_5$ spacetime embedded by a dS$_4$ brane. We calculate the dark energy density by summing the zero point energy of massive scalar fields in AdS$_5$ spacetime. Under the assumption that the radius of AdS$_5$ spacetime is of the same magnitude as the radius of observable universe, the dark energy density in dS$_4$ brane is obtained, which is smaller than the observational value. The reasons are also discussed.

Hai-Bao Wen; Xin-Bing Huang

2005-02-08T23:59:59.000Z

320

The 2010 Shanghai World Expo: The Challenge for Distributed Energy  

NLE Websites -- All DOE Office Websites (Extended Search)

The 2010 Shanghai World Expo: The Challenge for Distributed Energy The 2010 Shanghai World Expo: The Challenge for Distributed Energy Speaker(s): Weijun Gao Date: May 22, 2006 - 12:00pm Location: Bldg. 90 The economy of China is expected continue its breakneck expansion. Beijing will host the summer Olympics in 2008, and Shanghai will be the site of the World Expo in 2010. The entire world is afraid Mothership Earth cannot endure the environmental load caused by China's 13 billion people. Over the past century, the average temperature in Shanghai has increased by 1.5C, more than three times of the global average. The temperature increase in the recent decade was a very rapid 0.11C, and this tendency will continue at least for a few years. The main culprit of such dramatic climate change is directly connected with the increase of energy consumption. For more

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Test application of a semi-objective approach to wind forecasting for wind energy applications  

SciTech Connect

The test application of the semi-objective (S-O) wind forecasting technique at three locations is described. The forecasting sites are described as well as site-specific forecasting procedures. Verification of the S-O wind forecasts is presented, and the observed verification results are interpreted. Comparisons are made between S-O wind forecasting accuracy and that of two previous forecasting efforts that used subjective wind forecasts and model output statistics. (LEW)

Wegley, H.L.; Formica, W.J.

1983-07-01T23:59:59.000Z

322

Energy Department Advances Research on Methane Hydrates - the World's  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Research on Methane Hydrates - the Research on Methane Hydrates - the World's Largest Untapped Fossil Energy Resource Energy Department Advances Research on Methane Hydrates - the World's Largest Untapped Fossil Energy Resource August 31, 2012 - 1:00pm Addthis Washington, DC - The Energy Department today announced the selection of 14 new research projects across 11 states that will be a part of an expanding portfolio of projects designed to increase our understanding of methane hydrates' potential as a future energy supply. Methane hydrates are 3D ice-lattice structures with natural gas locked inside, and are found both onshore and offshore - including under the Arctic permafrost and in ocean sediments along nearly every continental shelf in the world. Today's projects build on the completion of a successful, unprecedented test

323

Elements of the world energy crisis  

SciTech Connect

The chain of events leading to the wonld energy crisis is followed for each industrialized country and the effects that energy shortages are presenting and optiona that are available are identified. The Soviet Union has extensive oil and gas reserves and the USA has extensive fossil fuel reserves, but needs to develop technology for coal and shale. Western Europe has been dependent upon Middle East oil, but could develop their coal resources. Japan is dependent upon oil imports, and with the advanced prices of oil, the capital on that island needs to be used internally in improving living conditions. (MCW)

Werth, G.C.; Green, E.

1974-01-14T23:59:59.000Z

324

California Regional Wind Energy Forecasting System Development, Volume 2:  

Science Conference Proceedings (OSTI)

The rated capacity of wind generation in California is expected to grow rapidly in the future beyond the approximately 2100 MW in place at the end of 2005. The main drivers are the state's 20 percent renewable portfolio standard requirement in 2010 and the low cost of wind energy relative to other renewable energy sources.

2006-11-15T23:59:59.000Z

325

BP Statistical Review of World Energy  

E-Print Network (OSTI)

, `Accounting for Oil and Gas Exploration, Development, Production and Decommissioning Activities' (UK SORP in review Oil 6 Reserves 8 Production and consumption 15 Prices 16 Refining 18 Trade movements Natural gas reports or chart specific data according to energy type, region and year. · An oil, natural gas and LNG

326

The Incremental Benefits of the Nearest Neighbor Forecast of U.S. Energy Commodity Prices  

E-Print Network (OSTI)

This thesis compares the simple Autoregressive (AR) model against the k- Nearest Neighbor (k-NN) model to make a point forecast of five energy commodity prices. Those commodities are natural gas, heating oil, gasoline, ethanol, and crude oil. The data for the commodities are monthly and, for each commodity, two-thirds of the data are used for an in-sample forecast, and the remaining one-third of the data are used to perform an out-of-sample forecast. Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) are used to compare the two forecasts. The results showed that one method is superior by one measure but inferior by another. Although the differences of the two models are minimal, it is up to a decision maker as to which model to choose. The Diebold-Mariano (DM) test was performed to test the relative accuracy of the models. For all five commodities, the results failed to reject the null hypothesis indicating that both models are equally accurate.

Kudoyan, Olga

2010-12-01T23:59:59.000Z

327

Hawaii energy strategy project 2: Fossil energy review. Task 1: World and regional fossil energy dynamics  

SciTech Connect

This report in the Hawaii Energy Strategy Project examines world and regional fossil energy dynamics. The topics of the report include fossil energy characteristics, the world oil industry including reserves, production, consumption, exporters, importers, refining, products and their uses, history and trends in the global oil market and the Asia-Pacific market; world gas industry including reserves, production, consumption, exporters, importers, processing, gas-based products, international gas market and the emerging Asia-Pacific gas market; the world coal industry including reserves, classification and quality, utilization, transportation, pricing, world coal market, Asia-Pacific coal outlook, trends in Europe and the Americas; and environmental trends affecting fossil fuels. 132 figs., 46 tabs.

Breazeale, K. [ed.; Isaak, D.T.; Yamaguchi, N.; Fridley, D.; Johnson, C.; Long, S.

1993-12-01T23:59:59.000Z

328

Short-Term Energy Carbon Dioxide Emissions Forecasts August 2009  

Reports and Publications (EIA)

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.

Information Center

2009-08-11T23:59:59.000Z

329

Growth Diagnostics for Dark Energy models and EUCLID forecast  

E-Print Network (OSTI)

In this work we introduce a new set of parameters $(r_{g}, s_{g})$ involving the linear growth of matter perturbation that can distinguish and constrain different dark energy models very efficiently. Interestingly, for $\\Lambda$CDM model these parameters take exact value $(1,1)$ at all red shifts whereas for models different from $\\Lambda$CDM, they follow different trajectories in the $(r_{g}, s_{g})$ phase plane. By considering the parametrization for the dark energy equation of state ($w$) and for the linear growth rate ($f_{g}$), we show that different dark energy behaviours with similar evolution of the linear density contrast, can produce distinguishable trajectories in the $(r_{g}, s_{g})$ phase plane. Moreover, one can put stringent constraint on these phase plane using future measurements like EUCLID ruling out some of the dark energy behaviours.

Sampurnanand; Anjan A. Sen

2013-01-06T23:59:59.000Z

330

Top of the World (GE) | Open Energy Information  

Open Energy Info (EERE)

Top of the World (GE) Top of the World (GE) Facility Top of the World (GE) Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Duke Energy Carolinas LLC Developer Duke Energy Carolinas LLC Energy Purchaser PacifiCorp Location 4 miles northeast of Glenrock WY Coordinates 42.914132°, -105.691223° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.914132,"lon":-105.691223,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

331

World Energy Consumption by Fuel Type, 1970-2020  

Gasoline and Diesel Fuel Update (EIA)

0 0 Notes: Natural gas is projected to be the fastest-growing component of primary world energy consumption, more than doubling between 1997 and 2020. Gas accounts for the largest increment in electricity generation (41 percent of the total increment of energy used for electricity generation). Combined-cycle gas turbine power plants offer some of the highest commercially available plant efficiencies, and natural gas is environmentally attractive because it emits less sulfur dioxide, carbon dioxide, and particulate matter than does oil or coal. In the IEO2000 projection, world natural gas consumption reaches the level of coal by 2005, and by 2020 gas use exceeds coal by 29 percent. Oil currently provides a larger share of world energy consumption than any other energy source and is expected to remain in that position

332

Society of Automotive Engineers World Congress | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Society of Automotive Engineers World Congress Society of Automotive Engineers World Congress Society of Automotive Engineers World Congress April 6, 2006 - 10:12am Addthis Remarks Prepared for Energy Secretary Samuel Bodman Thank you, Greg. It's always a pleasure to be in a room full of engineers. As an engineer myself, I know there is nothing our profession likes better than plain talk and solving problems. So, I'm going to serve you up some plain talk and then some assignments. Our nation faces big challenges in the energy and transportation arena. The President put it plainly in the State of the Union message when he said America is addicted to oil. To start us on the path to recovery from this addiction, he set out the Advanced Energy Initiative which calls for increasing spending on clean energy programs by 22% in next year's budget.

333

Hawaii Energy Strategy: Program guide. [Contains special sections on analytical energy forecasting, renewable energy resource assessment, demand-side energy management, energy vulnerability assessment, and energy strategy integration  

SciTech Connect

The Hawaii Energy Strategy program, or HES, is a set of seven projects which will produce an integrated energy strategy for the State of Hawaii. It will include a comprehensive energy vulnerability assessment with recommended courses of action to decrease Hawaii's energy vulnerability and to better prepare for an effective response to any energy emergency or supply disruption. The seven projects are designed to increase understanding of Hawaii's energy situation and to produce recommendations to achieve the State energy objectives of: Dependable, efficient, and economical state-wide energy systems capable of supporting the needs of the people, and increased energy self-sufficiency. The seven projects under the Hawaii Energy Strategy program include: Project 1: Develop Analytical Energy Forecasting Model for the State of Hawaii. Project 2: Fossil Energy Review and Analysis. Project 3: Renewable Energy Resource Assessment and Development Program. Project 4: Demand-Side Management Program. Project 5: Transportation Energy Strategy. Project 6: Energy Vulnerability Assessment Report and Contingency Planning. Project 7: Energy Strategy Integration and Evaluation System.

1992-09-01T23:59:59.000Z

334

Oak Ridge 'Jaguar' Supercomputer is World's Fastest | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Oak Ridge 'Jaguar' Supercomputer is World's Fastest Oak Ridge 'Jaguar' Supercomputer is World's Fastest Oak Ridge 'Jaguar' Supercomputer is World's Fastest November 16, 2009 - 12:00am Addthis Washington, DC -An upgrade to a Cray XT5 high-performance computing system deployed by the Department of Energy has made the "Jaguar" supercomputer the world's fastest. Located at Oak Ridge National Laboratory, Jaguar is the scientific research community's most powerful computational tool for exploring solutions to some of today's most difficult problems. The upgrade, funded with $19.9 million under the Recovery Act, will enable scientific simulations for exploring solutions to climate change and the development of new energy technologies. "Supercomputer modeling and simulation is changing the face of science and

335

Future World Energy Constraints and the Direction for Solutions  

SciTech Connect

This paper was originally written in response to the concern that rising levels of CO2 in the atmosphere caused by burning of fossil fuels will ultimately contribute to global warming. Now we are beginning to see evidence of coming problems in the supply of fuels for transportation. This paper describes the benefits of adequate energy supply and the problems of future energy supply. Partial solutions are suggested for immediate application as well as longer term solutions to address both of these concerns. To evaluate the situation and solutions we must understand: (1) how much primary energy is currently used world-wide and might be needed in 2100, (2) how important energy is to the welfare of people, (3) the forms of energy sources and end uses and (4) where new sources may come from. The major portion of world primary energy demand is provided by fossil fuels. This portion dropped from 93% in 1970 to 85% in 1995, mainly because of the increased use of nuclear energy. How ever, since the mid-1990s fossil fuels have maintained their 85% share of world energy supply. The importance of the relationship between per capita energy consumption and per capita income for the world is discussed. The limits of conservation, energy efficiency and renewable energies are examined. The contribution of renewable energies is compared to 41 different views of world energy demand in 2100. Without new technology for large scale storage of intermittent electricity from wind and solar the contribution of renewable energies is not likely to grow significantly beyond the current level of 7-8%. The paper offers conclusions and partial solutions that we can work on immediately. Examination of the forms of energy supplied by the sun, which is powered by nuclear fusion, and the way in which nuclear fission currently supplies energy to the world sets the research framework for longer term solutions. This framework points towards two possible longer term complementary res earch projects which take advantage of the concentrated energy and portability of nuclear fission: (1) to find ways of extending nuclear fission to smaller transportation and heating applications and (2) to develop nuclear fusion for manufacturing fissionable materials.

Lightfoot, H.D.

2004-09-12T23:59:59.000Z

336

Energy and the Evolution of World-Systems: Fueling Power and Environmental Degradation, 1800-2008  

E-Print Network (OSTI)

the World Bank and International Energy Agency, prior toEnergy Use Per Capita, 2005 ln epc Data Source: World Bank,

Lawrence, Kirk Steven

2011-01-01T23:59:59.000Z

337

The World Renewable Energy Forum in Denver | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Security & Safety Energy Economy Funding Opportunities State & Local Government Science & Innovation Science & Technology Science Education Innovation Energy Sources Energy Usage...

338

SOLAR IRRADIANCE FORECASTING FOR THE MANAGEMENT OF SOLAR ENERGY SYSTEMS  

E-Print Network (OSTI)

on the fluctuating wind and solar resources an indispensable necessity. Any efficient imple- mentation of wind-alone photovoltaic or wind energy systems, control systems in buildings, control of solar thermal power plants time constants. For example, an operation of a PV-diesel system needs information in the very short

Heinemann, Detlev

339

CALIFORNIA ENERGY COMMISSION0 Annual Update to the Forecasted  

E-Print Network (OSTI)

CHP (onsite and wholesale) in California ­ accounts for the AB 32 mandates, RPS, and CPUC CHP Existing Renewable Generation In-State Renewable Energy · For all RPS-eligible generators, staff averaged the 2006-2011 QFER reported generation · In-state RPS-eligible with COD after 1/1/2011 and prior to 12

340

Global Energy Leadership Fellows Research and Leadership for Solving the World's Energy Problems  

E-Print Network (OSTI)

Global Energy Leadership Fellows Research and Leadership for Solving the World's Energy Problems on solving the world's most challenging energy problems. e fellowships are for one-year (with opportunity Initiative for Renewable Energy and the Environment Institute on the Environment, University of Minnesota

de Weck, Olivier L.

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

World Energy Consumption by Fuel Type, 1970-2020  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption by Fuel Type, 1970-2020 Energy Consumption by Fuel Type, 1970-2020 Source: EIA, International Energy Outlook 2000 Previous slide Next slide Back to first slide View graphic version Notes: Natural gas is projected to be the fastest-growing component of primary world energy consumption, more than doubling between 1997 and 2020. Gas accounts for the largest increment in electricity generation (41 percent of the total increment of energy used for electricity generation). Combined-cycle gas turbine power plants offer some of the highest commercially available plant efficiencies, and natural gas is environmentally attractive because it emits less sulfur dioxide, carbon dioxide, and particulate matter than does oil or coal. In the IEO2000 projection, world natural gas consumption reaches the level of coal by

342

World energy outlook. [Projection to year 2000; monograph  

SciTech Connect

This outlook, projecting energy supply and demand to the year 2000, is based on an assessment of world economic activity which indicates that the rate of world economic growth will probably be about two-thirds the 1965 to 1973 level. The results may be summarized as follows: (1) energy demand may grow only half as rapidly as in the 1965 to 1973 period; nonetheless, by 2000 the world will probably be consuming two-thirds more energy than at present; (2) oil demand is projected to grow at an annual rate of less than 1 percent, compared to over 7 percent from 1965 to 1973; the amount of oil used in industrial nations is expected to remain essentially constant, but its use will increase in developing countries; (3) conventional oil production will probably plateau around the turn of the century; transition to greater reliance on other energy forms will be well under way by that time; (4) the transition to greater reliance on energy forms other than conventional oil will be eased by a reduction in the energy intensity of overall economic activity; less energy will be consumed per unit of output as a result of conservation, new technology, and investments to increase energy efficiency, as well as further shifts in the mix of economic output to less-energy-intensive activities. The projections set forth here were prepared in a period of particularly rapid change in perceptions of world energy supply and demand and in oil prices. Factors that shaped the projections continue to change. For example, the extent of price changes by the Organization of Petroleum Exporting Countries (OPEC) in late 1979 was not anticipated in the outlook. However, the data shown in the charts are broadly representative of possible future trends, if assumptions about future public policies are correct.

Not Available

1980-01-01T23:59:59.000Z

343

Green Racing's Impact on the Automotive World | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Green Racing's Impact on the Automotive World Green Racing's Impact on the Automotive World Green Racing's Impact on the Automotive World April 16, 2012 - 4:52pm Addthis One of the competitors from the Michelin Green X Challenge. | Photo courtesy of Green Racing. One of the competitors from the Michelin Green X Challenge. | Photo courtesy of Green Racing. Patrick B. Davis Patrick B. Davis Vehicle Technologies Program Manager What does this project do? Green Racing uses motorsports competition to help educate and promote alternative fuels and advanced vehicle technologies that can be transferred from the race track to the consumer market. The automotive racing world has a long history of moving the car industry forward through the development and use of new technology. Seeing racing's tremendous promise, the Energy Department, U.S. Environmental

344

World's Largest Laser Sets New Records | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

World's Largest Laser Sets New Records World's Largest Laser Sets New Records World's Largest Laser Sets New Records November 10, 2010 - 6:26pm Addthis Ginny Simmons Ginny Simmons Former Managing Editor for Energy.gov, Office of Public Affairs What are the key facts? The National Ignition Facility in California fired a shot of 300 trillion neutrons -- one step closer to the amount of neutrons needed to reach fusion ignition. Scientists also used the laser to create a temperature of six million degrees Fahernheit. The world's largest laser, located at the National Ignition Facility (or NIF) in California, set new records on October 31 and November 2. Specifically, on October 31 the NIF laser fired a shot of 300 trillion neutrons, the most neutrons ever yielded by a laser to date, and one step closer to the amount of neutrons (about 10 to the 18th power) needed to

345

Green Racing's Impact on the Automotive World | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Racing's Impact on the Automotive World Racing's Impact on the Automotive World Green Racing's Impact on the Automotive World April 16, 2012 - 4:52pm Addthis One of the competitors from the Michelin Green X Challenge. | Photo courtesy of Green Racing. One of the competitors from the Michelin Green X Challenge. | Photo courtesy of Green Racing. Patrick B. Davis Patrick B. Davis Vehicle Technologies Program Manager What does this project do? Green Racing uses motorsports competition to help educate and promote alternative fuels and advanced vehicle technologies that can be transferred from the race track to the consumer market. The automotive racing world has a long history of moving the car industry forward through the development and use of new technology. Seeing racing's tremendous promise, the Energy Department, U.S. Environmental

346

World Gasification Database Now Available from DOE | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

World Gasification Database Now Available from DOE World Gasification Database Now Available from DOE World Gasification Database Now Available from DOE November 9, 2010 - 12:00pm Addthis Washington, DC - A database just released by the U.S. Department of Energy (DOE) documents the worldwide growth of gasification, the expected technology of choice for future coal-based plants that produce power, fuels, and/or chemicals with near-zero emissions. The 2010 Worldwide Gasification Database, a comprehensive collection of gasification plant data, describes the current world gasification industry and identifies near-term planned capacity additions. The database reveals that the worldwide gasification capacity has continued to grow for the past several decades and is now at 70,817 megawatts thermal (MWth) of syngas

347

On model selection forecasting, Dark Energy and modified gravity  

E-Print Network (OSTI)

The Fisher matrix approach (Fisher 1935) allows one to calculate in advance how well a given experiment will be able to estimate model parameters, and has been an invaluable tool in experimental design. In the same spirit, we present here a method to predict how well a given experiment can distinguish between different models, regardless of their parameters. From a Bayesian viewpoint, this involves computation of the Bayesian evidence. In this paper, we generalise the Fisher matrix approach from the context of parameter fitting to that of model testing, and show how the expected evidence can be computed under the same simplifying assumption of a gaussian likelihood as the Fisher matrix approach for parameter estimation. With this `Laplace approximation' all that is needed to compute the expected evidence is the Fisher matrix itself. We illustrate the method with a study of how well upcoming and planned experiments should perform at distinguishing between Dark Energy models and modified gravity theories. In particular we consider the combination of 3D weak lensing, for which planned and proposed wide-field multi-band imaging surveys will provide suitable data, and probes of the expansion history of the Universe, such as proposed supernova and baryonic acoustic oscillations surveys. We find that proposed large-scale weak lensing surveys from space should be able readily to distinguish General Relativity from modified gravity models.

A. F. Heavens; T. D. Kitching; L. Verde

2007-03-08T23:59:59.000Z

348

World Induced Technical Change Hybrid (WITCH) | Open Energy Information  

Open Energy Info (EERE)

World Induced Technical Change Hybrid (WITCH) World Induced Technical Change Hybrid (WITCH) Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: World Induced Technical Change Hybrid (WITCH) Agency/Company /Organization: Fondazione Eni Enrico Mattei (FEEM) Sector: Climate, Energy Complexity/Ease of Use: Moderate Website: www.witchmodel.org/ Cost: Free Related Tools Global Trade and Environmental Model (GTEM) General Equilibrium Modeling Package (GEMPACK) Energy Development Index (EDI) ... further results Designed to assist in the study of the socio-economic dimensions of climate change and to help policy makers understand the economic consequences of climate policies.

349

Top of the World (Siemens) | Open Energy Information  

Open Energy Info (EERE)

Siemens) Siemens) Jump to: navigation, search Name Top of the World (Siemens) Facility Top of the World (Siemens) Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Duke Energy Carolinas LLC Developer Duke Energy Carolinas LLC Energy Purchaser PacifiCorp Location 4 miles northeast of Glenrock WY Coordinates 42.914132°, -105.691223° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.914132,"lon":-105.691223,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

350

Forecast Correlation Coefficient Matrix of Stock Returns in Portfolio Analysis  

E-Print Network (OSTI)

Unadjusted Forecasts . . . . . . . . . . . . . . . .Forecasts . . . . . . . . . . . . . . . . . . . . . . . . . .Unadjusted Forecasts . . . . . . . . . . . . . . . . . . .

Zhao, Feng

2013-01-01T23:59:59.000Z

351

NATIONAL AND GLOBAL FORECASTS WEST VIRGINIA PROFILES AND FORECASTS  

E-Print Network (OSTI)

· NATIONAL AND GLOBAL FORECASTS · WEST VIRGINIA PROFILES AND FORECASTS · ENERGY · HEALTHCARE Industry Insight: West Virginia Fiscal Forecast 34 CHAPTER 4: WEST ViRGiNiA'S 35 COUNTiES AND MSAs West Forecast Summary 2 CHAPTER 1: THE UNiTED STATES ECONOMY Figure 1.1: United States Real GDP Growth 3 Figure

Mohaghegh, Shahab

352

World Alliance for Decentralized Energy | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Decentralized Energy (WADE), which supports the worldwide development of decentralized, distributed energy generation around the globe, through financial support of technical...

353

Transportation Energy Model of the World Energy Projection System ...  

U.S. Energy Information Administration (EIA)

The WEPS Transportation Energy Model is a structural accounting model for road, rail, air, domestic shipping, international shipping, and pipeline energy use.

354

Key World Energy Statistics-2010 | Open Energy Information  

Open Energy Info (EERE)

AgencyCompany Organization: International Energy Agency Sector: Energy Topics: Market analysis Resource Type: Dataset, Maps Website: www.iea.orgtextbasenppdffree...

355

The World Renewable Energy Forum in Denver | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Saving Energy and Resources Revolutionizing Manufacturing INFOGRAPHIC: Wind Energy in America National Wind Technology Center - Colorado America's Wind Testing Facilities Beyond...

356

FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007 INTEGRATED Table of Contents General Instructions for Demand Forecast Submittals.............................................................................. 4 Protocols for Submitted Demand Forecasts

357

ORNL integrated forecasting system  

SciTech Connect

This paper describes the integrated system for forecasting electric energy and load. In the system, service area models of electrical energy (kWh) and load distribution (minimum and maximum loads and load duration curve) are linked to a state-level model of electrical energy (kWh). Thus, the service area forecasts are conditional upon the state-level forecasts. Such a linkage reduces considerably the data requirements for modeling service area electricity demand.

Rizy, C.G.

1983-01-01T23:59:59.000Z

358

Energy Secretary Chu to Keynote World Renewable Energy Forum in Denver |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

to Keynote World Renewable Energy Forum in to Keynote World Renewable Energy Forum in Denver Energy Secretary Chu to Keynote World Renewable Energy Forum in Denver May 16, 2012 - 1:13pm Addthis News Media Contact (202) 386-4940 WASHINGTON - Today, Wednesday, May 16, 2012, U.S. Energy Secretary Steven Chu will deliver a keynote address at the World Renewable Energy Forum in Denver, Colorado, where he will highlight the economic opportunities in the clean energy economy as well as the Obama Administration's commitments to strengthening U.S. leadership in the global clean energy race and helping American clean energy companies continue to create jobs and reduce our dependence on foreign oil. Following his remarks, Secretary Chu will tour the Exhibit Hall and participate in a media availability with Metro Denver Economic Development

359

Forecast Technical Document Forecast Types  

E-Print Network (OSTI)

Forecast Technical Document Forecast Types A document describing how different forecast types are implemented in the 2011 Production Forecast system. Tom Jenkins Robert Matthews Ewan Mackie Lesley Halsall #12;PF2011 ­ Forecast Types Background Different `types' of forecast are possible for a specified area

360

forecast | OpenEI  

Open Energy Info (EERE)

Browse Upload data GDR Community Login | Sign Up Search Facebook icon Twitter icon forecast Dataset Summary Description The EIA's annual energy outlook (AEO) contains yearly...

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

U.S. Energy Secretary Highlights Need for Energy Diversity at 20th World  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Highlights Need for Energy Diversity at 20th Highlights Need for Energy Diversity at 20th World Energy Congress Ministerial Forum in Rome U.S. Energy Secretary Highlights Need for Energy Diversity at 20th World Energy Congress Ministerial Forum in Rome November 13, 2007 - 4:31pm Addthis Welcomes Italy as 17th Nation to Join Global Nuclear Energy Partnership ROME, ITALY - U.S. Secretary of Energy Samuel W. Bodman today will deliver remarks at the 20th World Energy Congress Ministerial Forum, highlighting the importance of robust investments in a diversity of energy supplies and breakthrough technologies to meet growing global demand for energy. While in Rome, Secretary Bodman welcomed Italy to the Global Nuclear Energy Partnership (GNEP), an international framework aimed at expanding nuclear power worldwide while responsibly managing nuclear waste and reducing

362

Solar energy solutions for an environmentally sustainable world  

Science Conference Proceedings (OSTI)

The United Nations Conference of Environment and Development has focused the world's attention on the complex relationship between the environment and economic development. The essence of this relationship, and the emerging theme of UNCED, is the concept of sustainability. Sustainable economic development improves quality of life and raises standards of living by using the Earth's resources in a way that ensures that they are continually renewed, and will continue to support future generations. This is the subject of this report. While energy resources are essential to economic development, the authors current patterns of energy use are not sustainable. Reliance on fossil fuels, nuclear energy, and large-scale hydroelectric projects has contributed to serious environmental problems, including atmospheric pollution, loss of land productivity, loss of biological diversity, ocean and fresh water pollution, and hazardous waste generation. Thus, if they are to achieve sustainability in their patterns of energy consumption, it is imperative that they bring about a rapid and widespread transition to the utilization of environmentally sound energy sources and technologies. Solar energy technologies are environmentally sound, socially beneficial, and economically practical. They have been proven in a wide variety of applications around the world. The barriers to the widespread implementation of solar technologies are no longer technical, but rather social, economic, and political. These barriers can and must be removed.

Not Available

1992-01-01T23:59:59.000Z

363

Gabon-World Bank Climate Activities | Open Energy Information  

Open Energy Info (EERE)

Gabon-World Bank Climate Activities Jump to: navigation, search Name Gabon-World Bank Climate Activities AgencyCompany Organization World Bank Sector Land Focus Area Forestry...

364

The World Renewable Energy Forum in Denver | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Chu Visits Dublin, Ireland 110410-110510 Keep Your Home Office Efficient with ENERGY STAR. Home Office and Electronics Fuel assembly for production of nuclear power...

365

The World Renewable Energy Forum in Denver | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Energy Department Four Years of Leadership with Secretary Chu The Technology Showcase: AC Kinetics ARPA-E 2013 SLIDESHOW: Shepherds Flat Wind Farm 2013 Washington Auto Show An...

366

WORLD ENERGY OUTLOOK Looking at Energy Subsidies: Getting the Prices RightINTERNATIONAL ENERGY AGENCY  

E-Print Network (OSTI)

released at the end of 1998, foresaw that developing and transition countries would account for two-thirds of the overall increase in global energy demand to 2020. The report also highlighted the issue of pricing distortions as a key uncertainty in the outlook for energy demand growth and for the fuel mix. This study, the first in a series addressing key issues raised in the Outlook, focuses on energy subsidies that encourage overconsumption by keeping prices below cost. It assesses quantitatively the extent of energy subsidies and provides an indicative estimate of the potential gains from removing them in terms of energy savings, lower carbon dioxide emissions, improved economic efficiency and reduced burdens on government budgets. The study demonstrates that energy resources are significantly underpriced in eight of the largest countries outside the OECD, which represent collectively around a quarter of world energy use. These price subsidies, most often designed to meet social policy goals, result in substantial

unknown authors

1974-01-01T23:59:59.000Z

367

The World Renewable Energy Forum in Denver | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Supercomputers' Pictorial Superpowers How the Smart Grid Helps Homeowners Reduce Their Energy Use EcoCAR Challenge Finish Line Event 1 of 8 Students Earn Street Cred With the...

368

STAFF FORECAST OF 2007 PEAK STAFFREPORT  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION STAFF FORECAST OF 2007 PEAK DEMAND STAFFREPORT June 2006 CEC-400.................................................................................. 9 Sources of Forecast Error....................................................................... .................11 Tables Table 1: Revised versus September 2005 Peak Demand Forecast ......................... 2

369

RACORO Forecasting  

NLE Websites -- All DOE Office Websites (Extended Search)

Weather Briefings Observed Weather Cloud forecasting models BUFKIT forecast soundings + guidance from Norman NWS enhanced pages and discussions NAM-WRF updated...

370

Your World Magazine - Biofuels: Energy for Your Future  

SciTech Connect

Policymakers have been talking for years about measures to cut back how much petroleum we use. Interest has spiked recently, with government and private companies coming together to push forward scientific research and development of alternative fuel products such as ethanol. Biotechnology is helping make alternative energy sources easier - and more affordable - to produce. Most of the world's energy needs are met with oil and natural gas, which come from fossil fuel. No one knows how long the supply can last. Biobased fuels come from natural sources that can be replaced quickly. Along with corn, there are many other grains, grasses, trees, and even agricultural wastes being investigated for their usefulness and environmental friendliness as alternative fuel sources. Careers in this emerging new field emphasize chemistry and engineering. Look into it for a potential career - it's definitely a job full of energy.

Biotechnology Institute

2006-10-01T23:59:59.000Z

371

Your World Magazine - Biofuels: Energy for Your Future  

DOE Green Energy (OSTI)

Policymakers have been talking for years about measures to cut back how much petroleum we use. Interest has spiked recently, with government and private companies coming together to push forward scientific research and development of alternative fuel products such as ethanol. Biotechnology is helping make alternative energy sources easier - and more affordable - to produce. Most of the world's energy needs are met with oil and natural gas, which come from fossil fuel. No one knows how long the supply can last. Biobased fuels come from natural sources that can be replaced quickly. Along with corn, there are many other grains, grasses, trees, and even agricultural wastes being investigated for their usefulness and environmental friendliness as alternative fuel sources. Careers in this emerging new field emphasize chemistry and engineering. Look into it for a potential career - it's definitely a job full of energy.

Biotechnology Institute

2006-10-01T23:59:59.000Z

372

CIA-The World Factbook | Open Energy Information  

Open Energy Info (EERE)

CIA-The World Factbook CIA-The World Factbook Jump to: navigation, search Tool Summary LAUNCH TOOL Name: CIA-The World Factbook Agency/Company /Organization: United States Central Intelligence Agency Topics: Background analysis Resource Type: Dataset Website: www.cia.gov/library/publications/the-world-factbook/index.html Cost: Free CIA-The World Factbook Screenshot References: CIA-The World Factbook[1] "The World Factbook provides information on the history, people, government, economy, geography, communications, transportation, military, and transnational issues for 266 world entities. Our Reference tab includes: maps of the major world regions, as well as Flags of the World, a Physical Map of the World, a Political Map of the World, and a Standard Time Zones of the World map."

373

PRIOR FLARING AS A COMPLEMENT TO FREE MAGNETIC ENERGY FOR FORECASTING SOLAR ERUPTIONS  

Science Conference Proceedings (OSTI)

From a large database of (1) 40,000 SOHO/MDI line-of-sight magnetograms covering the passage of 1300 sunspot active regions across the 30 Degree-Sign radius central disk of the Sun, (2) a proxy of each active region's free magnetic energy measured from each of the active region's central-disk-passage magnetograms, and (3) each active region's full-disk-passage history of production of major flares and fast coronal mass ejections (CMEs), we find new statistical evidence that (1) there are aspects of an active region's magnetic field other than the free energy that are strong determinants of the active region's productivity of major flares and fast CMEs in the coming few days; (2) an active region's recent productivity of major flares, in addition to reflecting the amount of free energy in the active region, also reflects these other determinants of coming productivity of major eruptions; and (3) consequently, the knowledge of whether an active region has recently had a major flare, used in combination with the active region's free-energy proxy measured from a magnetogram, can greatly alter the forecast chance that the active region will have a major eruption in the next few days after the time of the magnetogram. The active-region magnetic conditions that, in addition to the free energy, are reflected by recent major flaring are presumably the complexity and evolution of the field.

Falconer, David A.; Moore, Ronald L.; Barghouty, Abdulnasser F. [ZP13 MSFC/NASA, Huntsville, AL 35812 (United States); Khazanov, Igor [CSPAR, Cramer Hall/NSSTC, The University of Alabama in Huntsville, Huntsville, AL 35899 (United States)

2012-09-20T23:59:59.000Z

374

The Boom of Electricity Demand in the Residential Sector in the Developing World and the Potential for Energy Efficiency  

SciTech Connect

With the emergence of China as the world's largest energy consumer, the awareness of developing country energy consumption has risen. According to common economic scenarios, the rest of the developing world will probably see an economic expansion as well. With this growth will surely come continued rapid growth in energy demand. This paper explores the dynamics of that demand growth for electricity in the residential sector and the realistic potential for coping with it through efficiency. In 2000, only 66% of developing world households had access to electricity. Appliance ownership rates remain low, but with better access to electricity and a higher income one can expect that households will see their electricity consumption rise significantly. This paper forecasts developing country appliance growth using econometric modeling. Products considered explicitly - refrigerators, air conditioners, lighting, washing machines, fans, televisions, stand-by power, water heating and space heating - represent the bulk of household electricity consumption in developing countries. The resulting diffusion model determines the trend and dynamics of demand growth at a level of detail not accessible by models of a more aggregate nature. In addition, the paper presents scenarios for reducing residential consumption through cost-effective and/or best practice efficiency measures defined at the product level. The research takes advantage of an analytical framework developed by LBNL (BUENAS) which integrates end use technology parameters into demand forecasting and stock accounting to produce detailed efficiency scenarios, which allows for a realistic assessment of efficiency opportunities at the national or regional level. The past decades have seen some of the developing world moving towards a standard of living previously reserved for industrialized countries. Rapid economic development, combined with large populations has led to first China and now India to emerging as 'energy giants', a phenomenon that is expected to continue, accelerate and spread to other countries. This paper explores the potential for slowing energy consumption and greenhouse gas emissions in the residential sector in developing countries and evaluates the potential of energy savings and emissions mitigation through market transformation programs such as, but not limited to Energy Efficiency Standards and Labeling (EES&L). The bottom-up methodology used allows one to identify which end uses and regions have the greatest potential for savings.

Letschert, Virginie; McNeil, Michael A.

2008-05-13T23:59:59.000Z

375

The Boom of Electricity Demand in the Residential Sector in the Developing World and the Potential for Energy Efficiency  

SciTech Connect

With the emergence of China as the world's largest energy consumer, the awareness of developing country energy consumption has risen. According to common economic scenarios, the rest of the developing world will probably see an economic expansion as well. With this growth will surely come continued rapid growth in energy demand. This paper explores the dynamics of that demand growth for electricity in the residential sector and the realistic potential for coping with it through efficiency. In 2000, only 66% of developing world households had access to electricity. Appliance ownership rates remain low, but with better access to electricity and a higher income one can expect that households will see their electricity consumption rise significantly. This paper forecasts developing country appliance growth using econometric modeling. Products considered explicitly - refrigerators, air conditioners, lighting, washing machines, fans, televisions, stand-by power, water heating and space heating - represent the bulk of household electricity consumption in developing countries. The resulting diffusion model determines the trend and dynamics of demand growth at a level of detail not accessible by models of a more aggregate nature. In addition, the paper presents scenarios for reducing residential consumption through cost-effective and/or best practice efficiency measures defined at the product level. The research takes advantage of an analytical framework developed by LBNL (BUENAS) which integrates end use technology parameters into demand forecasting and stock accounting to produce detailed efficiency scenarios, which allows for a realistic assessment of efficiency opportunities at the national or regional level. The past decades have seen some of the developing world moving towards a standard of living previously reserved for industrialized countries. Rapid economic development, combined with large populations has led to first China and now India to emerging as 'energy giants', a phenomenon that is expected to continue, accelerate and spread to other countries. This paper explores the potential for slowing energy consumption and greenhouse gas emissions in the residential sector in developing countries and evaluates the potential of energy savings and emissions mitigation through market transformation programs such as, but not limited to Energy Efficiency Standards and Labeling (EES&L). The bottom-up methodology used allows one to identify which end uses and regions have the greatest potential for savings.

Letschert, Virginie; McNeil, Michael A.

2008-05-13T23:59:59.000Z

376

Dynamic filter weights neural network model integrated with differential evolution for day-ahead price forecasting in energy market  

Science Conference Proceedings (OSTI)

In this paper a new dynamic model for forecasting electricity prices from 1 to 24h in advance is proposed. The model is a dynamic filter weight Adaline using a sliding mode weight adaptation technique. The filter weights for this neuron constitute of ... Keywords: Differential evolution, Dynamic filter weights neuron, Energy market, Local linear wavelet neural network, Sliding mode control

S. Chakravarty; P. K. Dash

2011-09-01T23:59:59.000Z

377

Convergence and Disposal of Energy and Moisture on the Antarctic Polar Cap from ECMWF Reanalyses and Forecasts  

Science Conference Proceedings (OSTI)

Diagnostics of energy and moisture transport and disposal over the Antarctic polar cap (70S to the pole) and ice sheet are extracted from the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis archive over the 197993 period. ...

Christophe Genthon; Gerhard Krinner

1998-07-01T23:59:59.000Z

378

A review of agent-based models for forecasting the deployment of distributed generation in energy systems  

Science Conference Proceedings (OSTI)

Agent-based models are seeing increasing use in the study of distributed generation (DG) deployment. Researchers and decision makers involved in the implementation of DG have been lacking a concise overview of why they should consider using agent-based ... Keywords: agent-based modeling, consumer behavior, distributed generation, energy forecasting, product deployment

Jason G. Veneman; M. A. Oey; L. J. Kortmann; F. M. Brazier; L. J. de Vries

2011-06-01T23:59:59.000Z

379

The U.S. Geological Survey World Energy Program  

Science Conference Proceedings (OSTI)

The U.S. Geological Survey has conducted four assessments of world oil and gas resources over the past 15 years. Recently, a new five year plan for the World Energy Program was completed. Eight regional coordinators were appointed and planning activities for a new world assessment which will include oil, natural gas and coal resources is planned within four years. Currently the program is undertaking U.S. AID sponsored collaborative work with research organizations in Russia including VINIGNI and VNIGRI. Some of the products planned for this collaborative effort include a petroleum basin map of the former Soviet Union and eventually a basin map of the world at a scale of 1:5,000,000 and databases characterizing past exploration activities in Russia. Centers are being established in Moscow and Tyumen to where state of the art seismic processing, organic geochemistry and geographic information systems will be operational. Additionally, collaborative research particularly organic geochemical studies and unconventional natural gas studies in the Timon-Pechora basin are underway. Training of Russian scientists both at the USGS and in Russia on equipment purchased for the Russian institutes has been underway for the past year. An analogous program, but at a smaller scale, focusing primarily on seismic processing and compilation of databases is underway with Ukranian geologists. Similar collaborative activities in coal research are underway in Armenian and Kyrgyzstan, and recently completed in India and Pakistan. Collaborative organic geochemical research, natural gas research with particular emphasis on basin centered gas accumulations or unconventional natural gas accumulations such as coal bed methane have been undertaken or are anticipated in several countries including Hungary, Poland, China, several Middle East countries, South America and Indonesia.

Ahlbrandt, T.S. [Geological Survey, Denver, CO (United States)

1995-08-01T23:59:59.000Z

380

Survey and forecast of marketplace supply and demand for energy- efficient lighting products  

SciTech Connect

The rapid growth in demand for energy-efficient lighting products has led to supply shortages for certain products. To understand the near-term (1- to 5-year) market for energy-efficient lighting products, a selected set of utilities and lighting product manufacturers were surveyed in early 1991. Two major U. S. government programs, EPA's Green Lights and DOE's Federal Relighting Initiative, were also examined to assess their effect on product demand. Lighting product manufacturers predicted significant growth through 1995. Lamp manufacturers indicated that compact fluorescent lamp shipments tripled between 1988 and 1991, and predicted that shipments would again triple, rising from 25 million units in 1991 to 72 million units in 1995. Ballast manufacturers predicted that demand for power-factorcorrected ballasts (both magnetic and electronic) would grow from 59.4 million units in 1991 to 71.1 million units in 1995. Electronic ballasts were predicted to grow from 11% of ballast demand in 1991 to 40% in 1995. Manufacturers projected that electronic ballast supply shortages would continue until late 1992. Lamp and ballast producers indicated that they had difficulty in determining what additional supply requirements might result due to demand created by utility programs. Using forecasts from 27 surveyed utilities and assumptions regarding the growth of U. S. utility lighting DSM programs, low, median, and high forecasts were developed for utility expenditures for lighting incentives through 1994. The projected median figure for 1992 was $316 million, while for 1994, the projected median figure was $547 million. The allocation of incentive dollars to various products and the number of units needed to meet utility-stimulated demand were also projected. To provide a better connection between future supply and demand, a common database is needed that captures detailed DSM program information including incentive dollars and unit-volume mix by product type.

Gough, A. (Lighting Research Inst., New York, NY (United States)); Blevins, R. (Plexus Research, Inc., Donegal, PA (United States))

1992-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Energy Sector Management Assistance Program of the World Bank (ESMAP) |  

Open Energy Info (EERE)

Sector Management Assistance Program of the World Bank (ESMAP) Sector Management Assistance Program of the World Bank (ESMAP) Jump to: navigation, search Logo: Energy Sector Management Assistance Program Name Energy Sector Management Assistance Program Address 1818 H Street, NW Place Washington, DC Zip 20433 Region Northeast - NY NJ CT PA Area Number of employees 11-50 Year founded 1983 Website http://www.esmap.org/esmap/ Coordinates 38.899458°, -77.042447° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.899458,"lon":-77.042447,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

382

World Oil Transit Chokepoints Background - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Countries World Oil Transit Chokepoints Last Updated: August 22, 2012 full report Background World oil chokepoints for maritime transit of oil are a critical part ...

383

Short-Range Direct and Diffuse Irradiance Forecasts for Solar Energy Applications Based on Aerosol Chemical Transport and Numerical Weather Modeling  

Science Conference Proceedings (OSTI)

This study examines 23-day solar irradiance forecasts with respect to their application in solar energy industries, such as yield prediction for the integration of the strongly fluctuating solar energy into the electricity grid. During cloud-...

Hanne Breitkreuz; Marion Schroedter-Homscheidt; Thomas Holzer-Popp; Stefan Dech

2009-09-01T23:59:59.000Z

384

Issues in midterm analysis and forecasting 1998  

SciTech Connect

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.

NONE

1998-07-01T23:59:59.000Z

385

Forecasting Forecast Skill  

Science Conference Proceedings (OSTI)

We have shown that it is possible to predict the skill of numerical weather forecastsa quantity which is variable from day to day and region to region. This has been accomplished using as predictor the dispersion (measured by the average ...

Eugenia Kalnay; Amnon Dalcher

1987-02-01T23:59:59.000Z

386

The role of geothermal energy in the world  

SciTech Connect

Geothermal energy, in the broadest sense, is the natural heat of the earth. Immense amounts of thermal energy are generated and stored in the earth`s core, mantle, and crust. The heat is transferred from the interior towards the surface mostly by conduction, and this conductive heat flow makes temperatures rise with increasing depth in the crust on average 25-30{degrees}C/km. This is called the geothermal gradient. The recoverable thermal energy theoretically suitable for direct applications has been estimated at 2.9 {times} 10{sup 24} Joules, which is about 10,000 times the present annual world consumption of primary energy without regard to grade (Armstead, 1983). Most of the earth`s heat is, however, far too deeply buried to be tapped by man, even under the most optimistic assumptions of technological development. Geothermal energy has at present a considerable economic potential only in areas where thermal water or steam is concentrated at depths less than 3 km(1.9 mi) in restricted volumes analogous to oil in commercial oil reservoirs. The drilling technology is similar for geothermal fluid as for oil. But as the energy content of a barrel of oil is much greater than an equivalent amount of hot water, the economic requirements for permeability of the formations and the productivity of the geothermal wells are much higher than for oil wells. Geothermal production wells are commonly 2 km (1.2 mi) deep, but rarely much over 3 km (1.9 mi) at present.

Fridleifsson, I.B. [United Nations Univ. Geothermal Training Programme, Reykjavik (Iceland)

1996-08-01T23:59:59.000Z

387

World Bank Climate Innovation Centers | Open Energy Information  

Open Energy Info (EERE)

Innovation Centers Innovation Centers Jump to: navigation, search Name World Bank Climate Innovation Centers Agency/Company /Organization World Bank Sector Energy, Climate Topics Finance, Policies/deployment programs, Background analysis Website http://www.infodev.org/en/Proj Program Start 2011 Country Kenya, India, South Africa, Ethiopia, Vietnam UN Region South-Eastern Asia, "South Asia" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property., "Sub-Saharan Africa" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property.

388

Forecast Combinations  

E-Print Network (OSTI)

Forecast combinations have frequently been found in empirical studies to produce better forecasts on average than methods based on the ex-ante best individual forecasting model. Moreover, simple combinations that ignore correlations between forecast errors often dominate more refined combination schemes aimed at estimating the theoretically optimal combination weights. In this chapter we analyze theoretically the factors that determine the advantages from combining forecasts (for example, the degree of correlation between forecast errors and the relative size of the individual models forecast error variances). Although the reasons for the success of simple combination schemes are poorly understood, we discuss several possibilities related to model misspecification, instability (non-stationarities) and estimation error in situations where thenumbersofmodelsislargerelativetothe available sample size. We discuss the role of combinations under asymmetric loss and consider combinations of point, interval and probability forecasts. Key words: Forecast combinations; pooling and trimming; shrinkage methods; model misspecification, diversification gains

Allan Timmermann; Jel Codes C

2006-01-01T23:59:59.000Z

389

Secretary Chu Op-Ed on Energy Efficiency from the World Economic Forum |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Op-Ed on Energy Efficiency from the World Economic Op-Ed on Energy Efficiency from the World Economic Forum Secretary Chu Op-Ed on Energy Efficiency from the World Economic Forum March 16, 2010 - 12:00am Addthis Washington, DC -- An op-ed by Secretary Steven Chu appears in a new report by the World Economic Forum and IHS Cambridge Energy Research Associates entitled "Energy Vision 2010: Towards a More Energy Efficient World." Read the full report (pdf- 1,456kb). The Secretary's piece is below and attached: Energy Efficiency: Achieving the Potential By Steven Chu, U.S. Secretary of Energy For the next few decades, energy efficiency is one of the lowest cost options for reducing US carbon emissions. Many studies have concluded that energy efficiency can save both energy and money. For example, a recent McKinsey report calculated the potential

390

Republic of Macedonia-World Bank Climate Projects | Open Energy Information  

Open Energy Info (EERE)

Macedonia-World Bank Climate Projects Macedonia-World Bank Climate Projects Jump to: navigation, search Name Republic of Macedonia-World Bank Climate Projects Agency/Company /Organization World Bank Sector Energy, Land Focus Area Energy Efficiency, Renewable Energy Topics Background analysis Website http://web.worldbank.org/exter Country Republic of Macedonia UN Region Southern Europe References World Bank-Macedonia[1] World Bank Active Climate Projects in the Republic of Macedonia Sustainable Energy GEF Project Sustainable Energy GEF Project "The development objective of the Sustainable Energy Project of the Former Yugoslav Republic of Macedonia is to develop a sustainable market for energy efficiency (EE) and renewable energy (RE) by supporting the development of an enabling framework, institutional capacity, and necessary

391

Secretary Chu at the World Renewable Energy Forum in Denver | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Secretary Chu at the World Renewable Energy Forum in Denver Secretary Chu at the World Renewable Energy Forum in Denver Secretary Chu at the World Renewable Energy Forum in Denver May 16, 2012 - 6:26pm Addthis 1 of 12 Santiago Seage, CEO of Abengoa Solar speaks at the World Renewable Energy Forum held at the Denver Convention Center in Denver, Colorado. Image: Dennis Schroeder/NREL 2 of 12 Energy Secretary Steven Chu delivers the keynote speech at the World Renewable Energy Forum in Denver, Colorado. Image: Dennis Schroeder/NREL 3 of 12 Energy Secretary Steven Chu, right and Susan Greene, center, President of ASES, talk to Michael Zuercher-Martinson, left, at the Solectria Renewables booth in the exhibit hall at the World Renewable Energy Forum being held at the Denver Convention Center in Denver, Colorado. Image: Dennis Schroeder/NREL

392

Energy Management: Best Practice Approach in a Carbon Constrained World  

E-Print Network (OSTI)

Industry today is facing the perfect storm of Energy. Recently, oil prices have topped the $100.00 per barrel level with no indication that they will be stabilizing anytime soon. This is exacerbated by the political instability in the Middle East and around the world and the increasing demand for oil and related products by global manufacturers and end users especially in the Far East. Since Hurricane Katrina, natural gas prices have been extremely volatile with prices peaking at greater than $16.00 per mmBtu in select markets. Over the last five years natural gas prices have more than tripled putting an extreme burden on energy intensive manufacturing companies. Sustainability issues are being raised as U.S. manufacturers are paying higher prices for natural gas than nearly all their global competitors. Most industry expansion and greenfield projects are shifting to lower cost markets where feedstocks are more competitively priced. Natural gas prices have moderated significantly since their post-Katrina highs in 2005. However, industry still faces upward pricing pressures relating to increases in demand for natural gas, global competition and impending legislation calling for greenhouse gas reductions. All of which will significantly affect industry and the economy. Industry will continue to be at the mercy of Mother Nature concerning Tropical storms and exceptionally cold winter weather. On the immediate horizon, new restrictive greenhouse gas legislation is being developed. It is highly probable that new legislation addressing greenhouse gas emission standards will be enacted. Experts are calling for the first wave of legislation as early as 2009. Pressures are coming from environmentalists, public opinion and industry, all concerned about global warning. It is not a question if more restrictive greenhouse gas and carbon reduction laws will be passed but when. This new legislation will be aimed at the power generation suppliers, industrial manufactures and the consumer markets. The primary focus on power generation will directed towards coal fired generation operations. Another initiative currently underway that will impact industry and create a greater sense of urgency in addressing energy conservation practices by industrial manufacturers involves the Department of Energys efforts to develop an ISO (International Organization of Standardization) standard for energy efficiency. It is clear without a shadow of a doubt that every effort should be taken now to reduce energy consumption by industrial manufactures. It is realistic to expect however, that during this crisis, the perfect storm of energy, that there is opportunity for industry to prosper. What should industry do?

Spates, C. N.

2008-01-01T23:59:59.000Z

393

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

An ENERGY STAR Guide for Energy and Plant Managers.An ENERGY STAR Guide for Energy and Plant Managers.

Worrell, Ernst; Price, Lynn; Neelis, Maarten; Galitsky, Christina; Zhou, Nan

2007-01-01T23:59:59.000Z

394

SunShot Initiative: Forecasting and Influencing Technological...  

NLE Websites -- All DOE Office Websites (Extended Search)

Forecasting and Influencing Technological Progress in Solar Energy to someone by E-mail Share SunShot Initiative: Forecasting and Influencing Technological Progress in Solar Energy...

395

IRF-World Road Statistics | Open Energy Information  

Open Energy Info (EERE)

IRF-World Road Statistics IRF-World Road Statistics Jump to: navigation, search Tool Summary LAUNCH TOOL Name: IRF-World Road Statistics Agency/Company /Organization: International Road Statistics Focus Area: Transportation, Economic Development Resource Type: Dataset Website: www.irfnet.org/statistics.php Cost: Paid IRF-World Road Statistics Screenshot References: IRF-World Road Statistics[1] "IRF World Road Statistics (WRS) compiles the most up-to-date official international road, traffic and transport data. The publication further provides a selection of the latest Sustainable Development Indicators and other data of key relevance, not only to industry and business but also to leading international organisations and financial institutions." References ↑ "IRF-World Road Statistics"

396

Mexico-The World Bank Partnership for Market Readiness (PMR) | Open Energy  

Open Energy Info (EERE)

Mexico-The World Bank Partnership for Market Readiness (PMR) Mexico-The World Bank Partnership for Market Readiness (PMR) Jump to: navigation, search Logo: Mexico-The World Bank Partnership for Market Readiness (PMR) Name Mexico-The World Bank Partnership for Market Readiness (PMR) Agency/Company /Organization World Bank Partner Australia, Denmark, EC, Germany, Japan, Netherlands, Norway Spain, Switzerland, UK, and US Sector Climate, Energy Focus Area Non-renewable Energy, Buildings, Economic Development, Energy Efficiency, Goods and Materials, Greenhouse Gas, Grid Assessment and Integration, Industry, Offsets and Certificates, People and Policy, Transportation Topics Baseline projection, Finance, GHG inventory, Implementation, Low emission development planning, Market analysis, Policies/deployment programs

397

Brazil-The World Bank Partnership for Market Readiness (PMR) | Open Energy  

Open Energy Info (EERE)

Brazil-The World Bank Partnership for Market Readiness (PMR) Brazil-The World Bank Partnership for Market Readiness (PMR) Jump to: navigation, search Logo: Brazil-The World Bank Partnership for Market Readiness (PMR) Name Brazil-The World Bank Partnership for Market Readiness (PMR) Agency/Company /Organization World Bank Partner Australia, Denmark, EC, Germany, Japan, Netherlands, Norway Spain, Switzerland, UK, and US Sector Climate, Energy Focus Area Non-renewable Energy, Buildings, Economic Development, Energy Efficiency, Goods and Materials, Greenhouse Gas, Grid Assessment and Integration, Industry, Offsets and Certificates, People and Policy, Transportation Topics Baseline projection, Finance, GHG inventory, Implementation, Low emission development planning, Market analysis, Policies/deployment programs

398

China-The World Bank Partnership for Market Readiness (PMR) | Open Energy  

Open Energy Info (EERE)

China-The World Bank Partnership for Market Readiness (PMR) China-The World Bank Partnership for Market Readiness (PMR) Jump to: navigation, search Logo: China-The World Bank Partnership for Market Readiness (PMR) Name China-The World Bank Partnership for Market Readiness (PMR) Agency/Company /Organization World Bank Partner Australia, Denmark, EC, Germany, Japan, Netherlands, Norway Spain, Switzerland, UK, and US Sector Climate, Energy Focus Area Non-renewable Energy, Buildings, Economic Development, Energy Efficiency, Goods and Materials, Greenhouse Gas, Grid Assessment and Integration, Industry, Offsets and Certificates, People and Policy, Transportation Topics Baseline projection, Finance, GHG inventory, Implementation, Low emission development planning, Market analysis, Policies/deployment programs

399

India-The World Bank Partnership for Market Readiness (PMR) | Open Energy  

Open Energy Info (EERE)

India-The World Bank Partnership for Market Readiness (PMR) India-The World Bank Partnership for Market Readiness (PMR) Jump to: navigation, search Logo: India-The World Bank Partnership for Market Readiness (PMR) Name India-The World Bank Partnership for Market Readiness (PMR) Agency/Company /Organization World Bank Partner Australia, Denmark, EC, Germany, Japan, Netherlands, Norway Spain, Switzerland, UK, and US Sector Climate, Energy Focus Area Non-renewable Energy, Buildings, Economic Development, Energy Efficiency, Goods and Materials, Greenhouse Gas, Grid Assessment and Integration, Industry, Offsets and Certificates, People and Policy, Transportation Topics Baseline projection, Finance, GHG inventory, Implementation, Low emission development planning, Market analysis, Policies/deployment programs

400

Ukraine-The World Bank Partnership for Market Readiness (PMR) | Open Energy  

Open Energy Info (EERE)

Ukraine-The World Bank Partnership for Market Readiness (PMR) Ukraine-The World Bank Partnership for Market Readiness (PMR) Jump to: navigation, search Logo: Ukraine-The World Bank Partnership for Market Readiness (PMR) Name Ukraine-The World Bank Partnership for Market Readiness (PMR) Agency/Company /Organization World Bank Partner Australia, Denmark, EC, Germany, Japan, Netherlands, Norway Spain, Switzerland, UK, and US Sector Climate, Energy Focus Area Non-renewable Energy, Buildings, Economic Development, Energy Efficiency, Goods and Materials, Greenhouse Gas, Grid Assessment and Integration, Industry, Offsets and Certificates, People and Policy, Transportation Topics Baseline projection, Finance, GHG inventory, Implementation, Low emission development planning, Market analysis, Policies/deployment programs

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Chile-The World Bank Partnership for Market Readiness (PMR) | Open Energy  

Open Energy Info (EERE)

Chile-The World Bank Partnership for Market Readiness (PMR) Chile-The World Bank Partnership for Market Readiness (PMR) Jump to: navigation, search Logo: Chile-The World Bank Partnership for Market Readiness (PMR) Name Chile-The World Bank Partnership for Market Readiness (PMR) Agency/Company /Organization World Bank Partner Australia, Denmark, EC, Germany, Japan, Netherlands, Norway Spain, Switzerland, UK, and US Sector Climate, Energy Focus Area Non-renewable Energy, Buildings, Economic Development, Energy Efficiency, Goods and Materials, Greenhouse Gas, Grid Assessment and Integration, Industry, Offsets and Certificates, People and Policy, Transportation Topics Baseline projection, Finance, GHG inventory, Implementation, Low emission development planning, Market analysis, Policies/deployment programs

402

Vietnam-The World Bank Partnership for Market Readiness (PMR) | Open Energy  

Open Energy Info (EERE)

Vietnam-The World Bank Partnership for Market Readiness (PMR) Vietnam-The World Bank Partnership for Market Readiness (PMR) Jump to: navigation, search Logo: Vietnam-The World Bank Partnership for Market Readiness (PMR) Name Vietnam-The World Bank Partnership for Market Readiness (PMR) Agency/Company /Organization World Bank Partner Australia, Denmark, EC, Germany, Japan, Netherlands, Norway Spain, Switzerland, UK, and US Sector Climate, Energy Focus Area Non-renewable Energy, Buildings, Economic Development, Energy Efficiency, Goods and Materials, Greenhouse Gas, Grid Assessment and Integration, Industry, Offsets and Certificates, People and Policy, Transportation Topics Baseline projection, Finance, GHG inventory, Implementation, Low emission development planning, Market analysis, Policies/deployment programs

403

Morocco-The World Bank Partnership for Market Readiness (PMR) | Open Energy  

Open Energy Info (EERE)

Morocco-The World Bank Partnership for Market Readiness (PMR) Morocco-The World Bank Partnership for Market Readiness (PMR) Jump to: navigation, search Logo: Morocco-The World Bank Partnership for Market Readiness (PMR) Name Morocco-The World Bank Partnership for Market Readiness (PMR) Agency/Company /Organization World Bank Partner Australia, Denmark, EC, Germany, Japan, Netherlands, Norway Spain, Switzerland, UK, and US Sector Climate, Energy Focus Area Non-renewable Energy, Buildings, Economic Development, Energy Efficiency, Goods and Materials, Greenhouse Gas, Grid Assessment and Integration, Industry, Offsets and Certificates, People and Policy, Transportation Topics Baseline projection, Finance, GHG inventory, Implementation, Low emission development planning, Market analysis, Policies/deployment programs

404

Jordan-The World Bank Partnership for Market Readiness (PMR) | Open Energy  

Open Energy Info (EERE)

Jordan-The World Bank Partnership for Market Readiness (PMR) Jordan-The World Bank Partnership for Market Readiness (PMR) Jump to: navigation, search Logo: Jordan-The World Bank Partnership for Market Readiness (PMR) Name Jordan-The World Bank Partnership for Market Readiness (PMR) Agency/Company /Organization World Bank Partner Australia, Denmark, EC, Germany, Japan, Netherlands, Norway Spain, Switzerland, UK, and US Sector Climate, Energy Focus Area Non-renewable Energy, Buildings, Economic Development, Energy Efficiency, Goods and Materials, Greenhouse Gas, Grid Assessment and Integration, Industry, Offsets and Certificates, People and Policy, Transportation Topics Baseline projection, Finance, GHG inventory, Implementation, Low emission development planning, Market analysis, Policies/deployment programs

405

Turkey-The World Bank Partnership for Market Readiness (PMR) | Open Energy  

Open Energy Info (EERE)

Turkey-The World Bank Partnership for Market Readiness (PMR) Turkey-The World Bank Partnership for Market Readiness (PMR) Jump to: navigation, search Logo: Turkey-The World Bank Partnership for Market Readiness (PMR) Name Turkey-The World Bank Partnership for Market Readiness (PMR) Agency/Company /Organization World Bank Partner Australia, Denmark, EC, Germany, Japan, Netherlands, Norway Spain, Switzerland, UK, and US Sector Climate, Energy Focus Area Non-renewable Energy, Buildings, Economic Development, Energy Efficiency, Goods and Materials, Greenhouse Gas, Grid Assessment and Integration, Industry, Offsets and Certificates, People and Policy, Transportation Topics Baseline projection, Finance, GHG inventory, Implementation, Low emission development planning, Market analysis, Policies/deployment programs

406

Forecasting overview  

E-Print Network (OSTI)

Forecasting is required in many situations: deciding whether to build another power generation plant in the next five years requires forecasts of future demand; scheduling staff in a call centre next week requires forecasts of call volume; stocking an inventory requires forecasts of stock requirements. Forecasts can be required several years in advance (for the case of capital investments), or only a few minutes beforehand (for telecommunication routing). Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. Some things are easier to forecast than others. The time of the sunrise tomorrow morning can be forecast very precisely. On the other hand, currency exchange rates are very difficult to forecast with any accuracy. The predictability of an event or a quantity depends on how well we understand the factors that contribute to it, and how much unexplained variability is involved. Forecasting situations vary widely in their time horizons, factors determining actual outcomes, types of data patterns, and many other aspects. Forecasting methods can be very simple such as using the most recent observation as a forecast (which is called the nave method), or highly complex such as neural nets and econometric systems of simultaneous equations. The

Rob J Hyndman

2009-01-01T23:59:59.000Z

407

Wind Speeds at Heights Crucial for Wind Energy: Measurements and Verification of Forecasts  

Science Conference Proceedings (OSTI)

Wind speed measurements from one year from meteorological towers and wind turbines at heights between 20 and 250 m for various European sites are analyzed and are compared with operational short-term forecasts of the global ECMWF model. The ...

Susanne Drechsel; Georg J. Mayr; Jakob W. Messner; Reto Stauffer

2012-09-01T23:59:59.000Z

408

Sixth Northwest Conservation and Electric Power Plan Appendix C: Demand Forecast  

E-Print Network (OSTI)

Sixth Northwest Conservation and Electric Power Plan Appendix C: Demand Forecast Energy Demand................................................................................................................................. 1 Demand Forecast Methodology.................................................................................................. 3 New Demand Forecasting Model for the Sixth Plan

409

Wind Energy Management System EMS Integration Project: Incorporating Wind Generation and Load Forecast Uncertainties into Power Grid Operations  

SciTech Connect

The power system balancing process, which includes the scheduling, real time dispatch (load following) and regulation processes, is traditionally based on deterministic models. Since the conventional generation needs time to be committed and dispatched to a desired megawatt level, the scheduling and load following processes use load and wind and solar power production forecasts to achieve future balance between the conventional generation and energy storage on the one side, and system load, intermittent resources (such as wind and solar generation), and scheduled interchange on the other side. Although in real life the forecasting procedures imply some uncertainty around the load and wind/solar forecasts (caused by forecast errors), only their mean values are actually used in the generation dispatch and commitment procedures. Since the actual load and intermittent generation can deviate from their forecasts, it becomes increasingly unclear (especially, with the increasing penetration of renewable resources) whether the system would be actually able to meet the conventional generation requirements within the look-ahead horizon, what the additional balancing efforts would be needed as we get closer to the real time, and what additional costs would be incurred by those needs. To improve the system control performance characteristics, maintain system reliability, and minimize expenses related to the system balancing functions, it becomes necessary to incorporate the predicted uncertainty ranges into the scheduling, load following, and, in some extent, into the regulation processes. It is also important to address the uncertainty problem comprehensively by including all sources of uncertainty (load, intermittent generation, generators forced outages, etc.) into consideration. All aspects of uncertainty such as the imbalance size (which is the same as capacity needed to mitigate the imbalance) and generation ramping requirement must be taken into account. The latter unique features make this work a significant step forward toward the objective of incorporating of wind, solar, load, and other uncertainties into power system operations. Currently, uncertainties associated with wind and load forecasts, as well as uncertainties associated with random generator outages and unexpected disconnection of supply lines, are not taken into account in power grid operation. Thus, operators have little means to weigh the likelihood and magnitude of upcoming events of power imbalance. In this project, funded by the U.S. Department of Energy (DOE), a framework has been developed for incorporating uncertainties associated with wind and load forecast errors, unpredicted ramps, and forced generation disconnections into the energy management system (EMS) as well as generation dispatch and commitment applications. A new approach to evaluate the uncertainty ranges for the required generation performance envelope including balancing capacity, ramping capability, and ramp duration has been proposed. The approach includes three stages: forecast and actual data acquisition, statistical analysis of retrospective information, and prediction of future grid balancing requirements for specified time horizons and confidence levels. Assessment of the capacity and ramping requirements is performed using a specially developed probabilistic algorithm based on a histogram analysis, incorporating all sources of uncertainties of both continuous (wind and load forecast errors) and discrete (forced generator outages and start-up failures) nature. A new method called the flying brick technique has been developed to evaluate the look-ahead required generation performance envelope for the worst case scenario within a user-specified confidence level. A self-validation algorithm has been developed to validate the accuracy of the confidence intervals.

Makarov, Yuri V.; Huang, Zhenyu; Etingov, Pavel V.; Ma, Jian; Guttromson, Ross T.; Subbarao, Krishnappa; Chakrabarti, Bhujanga B.

2010-01-01T23:59:59.000Z

410

Approaches for Planning and Implementing Sustainable Energy Growth in a Complex World: Preprint  

Science Conference Proceedings (OSTI)

The subject of sustainable energy development has been widely discussed and debated in recent years. However, despite widespread interest, progress toward this goal has been limited. This paper will build on current thinking related to sustainable development, energy forecasting, and complexity theory and show how past roadmapping methodologies fall short. While proposing ways of thinking about our responses to global changes, we consider how we can create and discover the pathways through those unpredictable changes toward high global renewables penetration.

Snyder, N.; Schwab, A.

2012-06-01T23:59:59.000Z

411

Long Term World Oil Supply - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

The following pages summarize a recent EIA presentation on estimates of the world conventional oil resource base and the year when production from it ...

412

EIA's Energy in Brief: How much of the world's electricity supply ...  

U.S. Energy Information Administration (EIA)

A feed-in tariff is a financial incentive that encourages the adoption of renewable electricity. ... According to the World and European Wind Energy Associations, ...

413

Energy and the Evolution of World-Systems: Fueling Power and Environmental Degradation, 1800-2008.  

E-Print Network (OSTI)

??This dissertation addresses an important question in the evolution of world-systems of human societies: how does energy use shape the dynamics that occur, in particular (more)

Lawrence, Kirk Steven

2011-01-01T23:59:59.000Z

414

Monthly World Oil Prices, 1976 - 2000 - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Monthly World Oil Prices, 1976 - 2000. Sources: EIA, Short-Term Energy Outlook database, August 2000. Previous slide: ... Since US refiners buy crude oil from so many ...

415

Argonne's mighty Mira joins ranks of world's most energy-efficient...  

NLE Websites -- All DOE Office Websites (Extended Search)

a broad range of research efforts aimed at finding or advancing solutions to the world's energy challenges, while itself being environmentally sustainable. As just one example,...

416

ENERGY STAR Update: Change the World, Start with ENERGY STAR Kicks Off (April 12, 2013)  

NLE Websites -- All DOE Office Websites (Extended Search)

2, 2013 2, 2013 Change the World, Start with ENERGY STAR Kicks Off with Announcement of Top Pledge Drivers Earth Day is right around the corner and the U.S. Environmental Protection Agency (EPA) is celebrating this important holiday by once again by announcing our top pledge drivers and inviting you to join all of us in changing the world with ENERGY STAR. Congratulations to: Georgia Power Company, Girl Scouts of the USA, Samsung Electronics, Nissan North America, and Ameren Illinois. Saving energy and reducing greenhouse gas pollution are more important than ever. Climate change is a real and urgent challenge affecting people and the environment worldwide. Through our collective energy-saving efforts, representing more than 3 million Americans, we are on track to save nearly $1.2

417

World Bank-Climate Change Knowledge Portal | Open Energy Information  

Open Energy Info (EERE)

Portal Portal Jump to: navigation, search Logo: World Bank-Climate Change Knowledge Portal Name World Bank-Climate Change Knowledge Portal Agency/Company /Organization World Bank Sector Climate Resource Type Maps, Training materials, Lessons learned/best practices Website http://sdwebx.worldbank.org/cl References World Bank-Climate Change Knowledge Portal[1] Abstract The WB Climate Change Portal is intended to provide quick and readily accessible climate and climate-related data to policy makers and development practitioners. World Bank-Climate Change Knowledge Portal Screenshot "The WB Climate Change Portal is intended to provide quick and readily accessible climate and climate-related data to policy makers and development practitioners. The site also includes a mapping visualization tool (webGIS) that displays

418

Keeping Tabs on the World's Dangerous Chemicals | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Keeping Tabs on the World's Dangerous Chemicals Keeping Tabs on the World's Dangerous Chemicals Keeping Tabs on the World's Dangerous Chemicals March 20, 2013 - 5:07pm Addthis Sandia chemical engineer Nancy Jackson has worked in laboratories around the world to help ensure that chemicals are used safely and kept secure. The American Association for the Advancement of Science honored her with the 2013 Science Diplomacy Award. | Photo by Randy Montoya, Sandia National Lab. Sandia chemical engineer Nancy Jackson has worked in laboratories around the world to help ensure that chemicals are used safely and kept secure. The American Association for the Advancement of Science honored her with the 2013 Science Diplomacy Award. | Photo by Randy Montoya, Sandia National Lab. Stephanie Hobby Media Relations, Sandia National Lab

419

Keeping Tabs on the World's Dangerous Chemicals | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Keeping Tabs on the World's Dangerous Chemicals Keeping Tabs on the World's Dangerous Chemicals Keeping Tabs on the World's Dangerous Chemicals March 20, 2013 - 5:07pm Addthis Sandia chemical engineer Nancy Jackson has worked in laboratories around the world to help ensure that chemicals are used safely and kept secure. The American Association for the Advancement of Science honored her with the 2013 Science Diplomacy Award. | Photo by Randy Montoya, Sandia National Lab. Sandia chemical engineer Nancy Jackson has worked in laboratories around the world to help ensure that chemicals are used safely and kept secure. The American Association for the Advancement of Science honored her with the 2013 Science Diplomacy Award. | Photo by Randy Montoya, Sandia National Lab. Stephanie Hobby Media Relations, Sandia National Lab

420

Asia is the world's largest petroleum consumer - Today in Energy ...  

U.S. Energy Information Administration (EIA)

Energy use in homes, ... and projections integrated across all energy sources. Highlights ... What is the role of coal in the United States? Energy Kids.

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

cracking and alternative processes, Energy 31 (2006), pp.cracking and alternative processes, Energy 31 (2006), pp.cracking and alternative processes, Energy 31 (2006), pp.

Worrell, Ernst; Price, Lynn; Neelis, Maarten; Galitsky, Christina; Zhou, Nan

2007-01-01T23:59:59.000Z

422

Energy Sector Management Assistance Program of the World Bank Feed | Open  

Open Energy Info (EERE)

World Bank Feed World Bank Feed Jump to: navigation, search Home | About | Inventory | Partnerships | Capacity Building | Webinars | Reports | Events | News | List Serve CLEAN Member Feeds Center for Environment and National Security at Scripps Centro de Energías Renovables (CER) The Children's Investment Fund Foundation (CIFF) Climate and Development Knowledge Network (CDKN) Climate Technology Initiative (CTI) ClimateWorks Foundation Coalition for Rainforest Nations (CfRN) Ecofys Energy Research Centre of the Netherlands (ECN) Energy Sector Management Assistance Program of the World Bank (ESMAP) Environment and Development Action in the Third World (ENDA-TM) German Aerospace Center (DLR) German Agency for International Cooperation (GIZ) Global Village Energy Partnership (GVEP)

423

Wind Energy Management System Integration Project Incorporating Wind Generation and Load Forecast Uncertainties into Power Grid Operations  

SciTech Connect

The power system balancing process, which includes the scheduling, real time dispatch (load following) and regulation processes, is traditionally based on deterministic models. Since the conventional generation needs time to be committed and dispatched to a desired megawatt level, the scheduling and load following processes use load and wind power production forecasts to achieve future balance between the conventional generation and energy storage on the one side, and system load, intermittent resources (such as wind and solar generation) and scheduled interchange on the other side. Although in real life the forecasting procedures imply some uncertainty around the load and wind forecasts (caused by forecast errors), only their mean values are actually used in the generation dispatch and commitment procedures. Since the actual load and intermittent generation can deviate from their forecasts, it becomes increasingly unclear (especially, with the increasing penetration of renewable resources) whether the system would be actually able to meet the conventional generation requirements within the look-ahead horizon, what the additional balancing efforts would be needed as we get closer to the real time, and what additional costs would be incurred by those needs. In order to improve the system control performance characteristics, maintain system reliability, and minimize expenses related to the system balancing functions, it becomes necessary to incorporate the predicted uncertainty ranges into the scheduling, load following, and, in some extent, into the regulation processes. It is also important to address the uncertainty problem comprehensively, by including all sources of uncertainty (load, intermittent generation, generators forced outages, etc.) into consideration. All aspects of uncertainty such as the imbalance size (which is the same as capacity needed to mitigate the imbalance) and generation ramping requirement must be taken into account. The latter unique features make this work a significant step forward toward the objective of incorporating of wind, solar, load, and other uncertainties into power system operations. In this report, a new methodology to predict the uncertainty ranges for the required balancing capacity, ramping capability and ramp duration is presented. Uncertainties created by system load forecast errors, wind and solar forecast errors, generation forced outages are taken into account. The uncertainty ranges are evaluated for different confidence levels of having the actual generation requirements within the corresponding limits. The methodology helps to identify system balancing reserve requirement based on a desired system performance levels, identify system breaking points, where the generation system becomes unable to follow the generation requirement curve with the user-specified probability level, and determine the time remaining to these potential events. The approach includes three stages: statistical and actual data acquisition, statistical analysis of retrospective information, and prediction of future grid balancing requirements for specified time horizons and confidence intervals. Assessment of the capacity and ramping requirements is performed using a specially developed probabilistic algorithm based on a histogram analysis incorporating all sources of uncertainty and parameters of a continuous (wind forecast and load forecast errors) and discrete (forced generator outages and failures to start up) nature. Preliminary simulations using California Independent System Operator (California ISO) real life data have shown the effectiveness of the proposed approach. A tool developed based on the new methodology described in this report will be integrated with the California ISO systems. Contractual work is currently in place to integrate the tool with the AREVA EMS system.

Makarov, Yuri V.; Huang, Zhenyu; Etingov, Pavel V.; Ma, Jian; Guttromson, Ross T.; Subbarao, Krishnappa; Chakrabarti, Bhujanga B.

2010-09-01T23:59:59.000Z

424

Trinity Site - World's First Nuclear Explosion | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Manhattan Project » Signature Manhattan Project » Signature Facilities » Trinity Site - World's First Nuclear Explosion Trinity Site - World's First Nuclear Explosion Trinity Site - World's First Nuclear Explosion The world's first nuclear explosion occurred on July 16, 1945, when a plutonium implosion device was tested at a site located 210 miles south of Los Alamos on the barren plains of the Alamogordo Bombing Range, known as the Jornada del Muerto. Inspired by the poetry of John Donne, J. Robert Oppenheimer code-named the test Trinity. Hoisted atop a 150-foot tower, the plutonium device, or Gadget, detonated at precisely 5:30 a.m. over the New Mexico desert, releasing 18.6 kilotons of power, instantly vaporizing the tower and turning the surrounding asphalt and sand into green glass.

425

World Institute for Nuclear Security Launch | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

World Institute for Nuclear Security Launch World Institute for Nuclear Security Launch World Institute for Nuclear Security Launch September 29, 2008 - 3:43pm Addthis Remarks as Prepared for Secretary Bodman Thank you. My thanks to Director General El Baradei and Senator Nunn for their opening remarks. I am pleased to be here with you this afternoon. Each nation has the responsibility to assist in the effort to make nuclear materials and facilities secure. This means we need cooperation at every level and every stage of the process: from government, to industry, to non-governmental organizations. As such, the World Institute for Nuclear Security will make an important contribution to the cause of nuclear nonproliferation and nuclear security. By bringing the private, public, and non-governmental sectors together,

426

Department of Energy Finalizes Loan Guarantee to Support World...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

million homes. Additional DOE-supported projects include two of the world's largest solar thermal projects and a 2,200 megawatt nuclear power plant - the nation's first in three...

427

Annual World Oil Demand Growth - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Following relatively small increases of 1.3 million barrels per day in 1999 and 0.8 million barrels per day in 2000, EIA is estimating world demand may grow by 1.5 ...

428

Long Term World Oil Supply - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Long-Term World Oil Supply Scenarios. The Future Is Neither as Bleak or Rosy as Some Assert. By. John H. Wood, Gary R. Long, David F. Morehouse Conventionally ...

429

World Bank eAtlas of Global Development | Open Energy Information  

Open Energy Info (EERE)

World Bank eAtlas of Global Development World Bank eAtlas of Global Development Jump to: navigation, search Tool Summary Name: World Bank eAtlas of Global Development Agency/Company /Organization: World Bank Topics: Co-benefits assessment, - Macroeconomic, - Energy Access, - Energy Security, - Environmental and Biodiversity, - Health Resource Type: Dataset Website: www.app.collinsindicate.com/worldbankatlas-global/en World Bank eAtlas of Global Development Screenshot References: World Bank eAtlas of Global Development[1] "This eAtlas, a new online companion to Atlas of Global Development, third edition, builds on the Atlas topics, allowing you to visualize and analyze a wider variety of data in greater depth, over a longer time period. You can: Map more than 175 World Bank indicators worldwide

430

India Added to WorldWideScience.org | OSTI, US Dept of Energy, Office of  

Office of Scientific and Technical Information (OSTI)

India Added to WorldWideScience.org India Added to WorldWideScience.org NEWS MEDIA CONTACT: Cathey Daniels, (865) 576-9539 FOR IMMEDIATE RELEASE January 29, 2008 India Added to WorldWideScience.org Online gateway makes world's science available to citizens everywhere Oak Ridge, TN - WorldWideScience.org, the online gateway that makes the world's science readily available to researchers and citizens alike, recently added four important science sources from India to its global reach. Users can search these and many other science sources from a single entry point and retrieve the most current science findings in fields such as energy, medicine, agriculture and basic sciences. The addition of India effectively doubled the percentage of the world's population represented in the searches of WorldWideScience.org. The newest

431

Contribution of Renewables to World Energy Supply (1971 - 2008) | OpenEI  

Open Energy Info (EERE)

Contribution of Renewables to World Energy Supply (1971 - 2008) Contribution of Renewables to World Energy Supply (1971 - 2008) Dataset Summary Description OECD Factbook 2010: Economic, Environmental and Social Statistics - ISBN 92-64-08356-1 - © OECD 2010. Available directly from the OECD Statistics website (beta version).Presents the annual contribution of renewables to energy supply, as a percentage of total primary energy supply for the world, plus approximately 40 countries (1971 - 2008). Source OECD Date Released January 01st, 2010 (4 years ago) Date Updated Unknown Keywords energy supply ISBN 92-64-08356-1 OECD renewable energy world Data application/vnd.ms-excel icon OECD Factbook 2010: Contribution of Renewables to Energy Supply (xls, 38.4 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage

432

Photos of One of the World's Largest Wind Farms | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Photos of One of the World's Largest Wind Farms Photos of One of the World's Largest Wind Farms Photos of One of the World's Largest Wind Farms February 6, 2013 - 4:20pm Addthis 1 of 5 Image: Caithness Energy 2 of 5 Image: Caithness Energy 3 of 5 Image: Caithness Energy 4 of 5 Image: Caithness Energy 5 of 5 Image: Caithness Energy Arlington, OR Erin R. Pierce Erin R. Pierce Digital Communications Specialist, Office of Public Affairs Panoramic View See a landscape shot of the Shepherds Flat Wind Farm here America's clean energy industry continues to build momentum as Deputy Energy Secretary Daniel Poneman heads to Arlington, Oregon, to visit Shepherds Flat -- the world's largest financed wind farm. Located about 135 miles from Portland, Shepherds Flat generates up to 845 megawatts of wind power everyday -- enough clean electricity to power

433

OLADE-Solar Thermal World Portal | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » OLADE-Solar Thermal World Portal Jump to: navigation, search Tool Summary Name: OLADE-Solar Thermal World Portal Agency/Company /Organization: Latin American Energy Organization (OLADE) Sector: Energy Focus Area: Renewable Energy, Solar, - Concentrating Solar Power, - Solar Hot Water User Interface: Website Website: www.solarthermalworld.org/ Cost: Free UN Region: Caribbean, South America Language: "English, Spanish; Castilian" is not in the list of possible values (Abkhazian, Achinese, Acoli, Adangme, Adyghe; Adygei, Afar, Afrihili, Afrikaans, Afro-Asiatic languages, Ainu, Akan, Akkadian, Albanian, Aleut, Algonquian languages, Altaic languages, Amharic, Angika, Apache languages, Arabic, Aragonese, Arapaho, Arawak, Armenian, Aromanian; Arumanian; Macedo-Romanian, Artificial languages, Assamese, Asturian; Bable; Leonese; Asturleonese, Athapascan languages, Australian languages, Austronesian languages, Avaric, Avestan, Awadhi, Aymara, Azerbaijani, Balinese, Baltic languages, Baluchi, Bambara, Bamileke languages, Banda languages, Bantu (Other), Basa, Bashkir, Basque, Batak languages, Beja; Bedawiyet, Belarusian, Bemba, Bengali, Berber languages, Bhojpuri, Bihari languages, Bikol, Bini; Edo, Bislama, Blin; Bilin, Blissymbols; Blissymbolics; Bliss, Bosnian, Braj, Breton, Buginese, Bulgarian, Buriat, Burmese, Caddo, Catalan; Valencian, Caucasian languages, Cebuano, Celtic languages, Central American Indian languages, Central Khmer, Chagatai, Chamic languages, Chamorro, Chechen, Cherokee, Cheyenne, Chibcha, Chichewa; Chewa; Nyanja, Chinese, Chinook jargon, Chipewyan; Dene Suline, Choctaw, Chuukese, Chuvash, Classical Newari; Old Newari; Classical Nepal Bhasa, Classical Syriac, Coptic, Cornish, Corsican, Cree, Creek, Creoles and pidgins , Crimean Tatar; Crimean Turkish, Croatian, Cushitic languages, Czech, Dakota, Danish, Dargwa, Delaware, Dinka, Divehi; Dhivehi; Maldivian, Dogri, Dogrib, Dravidian languages, Duala, Dutch; Flemish, Dyula, Dzongkha, Eastern Frisian, Efik, Egyptian (Ancient), Ekajuk, Elamite, English, Erzya, Esperanto, Estonian, Ewe, Ewondo, Fang, Fanti, Faroese, Fijian, Filipino; Pilipino, Finnish, Finno-Ugrian languages, Fon, French, Friulian, Fulah, Ga, Gaelic; Scottish Gaelic, Galibi Carib, Galician, Ganda, Gayo, Gbaya, Geez, Georgian, German, Germanic languages, Gilbertese, Gondi, Gorontalo, Gothic, Grebo, Greek, Modern, Guarani, Gujarati, Gwich'in, Haida, Haitian; Haitian Creole, Hausa, Hawaiian, Hebrew, Herero, Hiligaynon, Himachali languages; Western Pahari languages, Hindi, Hiri Motu, Hittite, Hmong; Mong, Hungarian, Hupa, Iban, Icelandic, Ido, Igbo, Ijo languages, Iloko, Inari Sami, Indic languages, Indo-European languages, Indonesian, Ingush, Interlingue; Occidental, Inuktitut, Inupiaq, Iranian languages, Irish, Iroquoian languages, Italian, Japanese, Javanese, Judeo-Arabic, Judeo-Persian, Kabardian, Kabyle, Kachin; Jingpho, Kalaallisut; Greenlandic, Kalmyk; Oirat, Kamba, Kannada, Kanuri, Kara-Kalpak, Karachay-Balkar, Karelian, Karen languages, Kashmiri, Kashubian, Kawi, Kazakh, Khasi, Khoisan languages, Khotanese; Sakan, Kikuyu; Gikuyu, Kimbundu, Kinyarwanda, Kirghiz; Kyrgyz, Klingon; tlhIngan-Hol, Komi, Kongo, Konkani, Korean, Kosraean, Kpelle, Kru languages, Kuanyama; Kwanyama, Kumyk, Kurdish, Kurukh, Kutenai, Ladino, Lahnda, Lamba, Land Dayak languages, Lao, Latin, Latvian, Lezghian, Limburgan; Limburger; Limburgish, Lingala, Lithuanian, Lojban, Lower Sorbian, Lozi, Luba-Katanga, Luba-Lulua, Luiseno, Lule Sami, Lunda, Luo (Kenya and Tanzania), Lushai, Luxembourgish; Letzeburgesch, Macedonian, Madurese, Magahi, Maithili, Makasar, Malagasy, Malay, Malayalam, Maltese, Manchu, Mandar, Mandingo, Manipuri, Manobo languages, Manx, Maori, Mapudungun; Mapuche, Marathi, Mari, Marshallese, Marwari, Masai, Mayan languages, Mende, Mi'kmaq; Micmac, Minangkabau, Mirandese, Mohawk, Moksha, Mon-Khmer languages, Mongo, Mongolian, Mossi, Multiple languages, Munda languages, N'Ko, Nahuatl languages, Nauru, Navajo; Navaho, Ndebele, North; North Ndebele, Ndebele, South; South Ndebele, Ndonga, Neapolitan, Nepal Bhasa; Newari, Nepali, Nias, Niger-Kordofanian languages, Nilo-Saharan languages, Niuean, North American Indian languages, Northern Frisian, Northern Sami, Norwegian, Nubian languages, Nyamwezi, Nyankole, Nyoro, Nzima, Occitan (post 1500); Proven√ßal, Ojibwa, Oriya, Oromo, Osage, Ossetian; Ossetic, Otomian languages, Pahlavi, Palauan, Pali, Pampanga; Kapampangan, Pangasinan, Panjabi; Punjabi, Papiamento, Papuan languages, Pedi; Sepedi; Northern Sotho, Persian, Philippine languages, Phoenician, Pohnpeian, Polish, Portuguese, Prakrit languages, Pushto; Pashto, Quechua, Rajasthani, Rapanui, Rarotongan; Cook Islands Maori, Romance languages, Romanian; Moldavian; Moldovan, Romansh, Romany, Rundi, Russian, Salishan languages, Samaritan Aramaic, Sami languages, Samoan, Sandawe, Sango, Sanskrit, Santali, Sardinian, Sasak, Scots, Selkup, Semitic languages, Serbian, Serer, Shan, Shona, Sichuan Yi; Nuosu, Sicilian, Sidamo, Sign Languages, Siksika, Sindhi, Sinhala; Sinhalese, Sino-Tibetan languages, Siouan languages, Skolt Sami, Slave (Athapascan), Slavic languages, Slovak, Slovenian, Sogdian, Somali, Songhai languages, Soninke, Sorbian languages, Sotho, Southern, South American Indian (Other), Southern Altai, Southern Sami, Spanish; Castilian, Sranan Tongo, Sukuma, Sumerian, Sundanese, Susu, Swahili, Swati, Swedish, Swiss German; Alemannic; Alsatian, Syriac, Tagalog, Tahitian, Tai languages, Tajik, Tamashek, Tamil, Tatar, Telugu, Tereno, Tetum, Thai, Tibetan, Tigre, Tigrinya, Timne, Tiv, Tlingit, Tok Pisin, Tokelau, Tonga (Nyasa), Tonga (Tonga Islands), Tsimshian, Tsonga, Tswana, Tumbuka, Tupi languages, Turkish, Turkmen, Tuvalu, Tuvinian, Twi, Udmurt, Ugaritic, Uighur; Uyghur, Ukrainian, Umbundu, Uncoded languages, Undetermined, Upper Sorbian, Urdu, Uzbek, Vai, Venda, Vietnamese, Volap√ºk, Votic, Wakashan languages, Walamo, Walloon, Waray, Washo, Welsh, Western Frisian, Wolof, Xhosa, Yakut, Yao, Yapese, Yiddish, Yoruba, Yupik languages, Zande languages, Zapotec, Zaza; Dimili; Dimli; Kirdki; Kirmanjki; Zazaki, Zenaga, Zhuang; Chuang, Zulu, Zuni) for this property.

434

World Business Council for Sustainable Development (WBCSD) | Open Energy  

Open Energy Info (EERE)

World Business Council for Sustainable Development (WBCSD) World Business Council for Sustainable Development (WBCSD) (Redirected from World Business Council for Sustainable Development) Jump to: navigation, search Logo: World Business Council for Sustainable Development Name World Business Council for Sustainable Development Address 4, chemin de Conches 1231 Conches Place Geneva, Switzerland Number of employees 201-500 Year founded 1992 Phone number +41 (0)22 839 3100 Coordinates 46.1834063°, 6.1729986° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.1834063,"lon":6.1729986,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

435

Top-of-the-World, Arizona: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Top-of-the-World, Arizona: Energy Resources Top-of-the-World, Arizona: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 33.3494997°, -110.9926154° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.3494997,"lon":-110.9926154,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

436

Contact Us - U.S. Energy Information Administration (EIA) - U.S. Energy  

Gasoline and Diesel Fuel Update (EIA)

Forecasting & Analysis Forecasting & Analysis Short-Term (STEO) Energy Forecast Experts Long-Term (AEO) Energy Forecast Experts International (IEO) Energy Forecast Experts Renewable Energy Forecast Experts Short-Term (STEO) Analysis and Forecasting Experts Short-Term Energy Outlook Tancred Lidderdale 202-586-7321 tancred.lidderdale@eia.gov World Oil Price Eric Kreil 202-586-6573 erik.kreil@eia.gov Energy Prices Sean Hill 202-586-4247 sean.hill@eia.gov Futures Markets and Energy Price Uncertainty James Preciado 202-586-8769 james.preciado@eia.gov U.S. Crude Oil Production Gary Long 202-586-3467 gary.long@eia.gov U.S. Petroleum Demand Michael Morris 202-586-1199 michael.morris@eia.gov U.S. Refinery Supply Arup Mallik 202-586-7713 arup.mallik@eia.gov Ethanol Tony Radich 202-586-0504 anthony.radich@eia.gov

437

Exploiting Domain Knowledge to Forecast Heating Oil Consumption  

Science Conference Proceedings (OSTI)

The GasDay laboratory at Marquette University provides forecasts of energy consumption. One such service is the Heating Oil Forecaster

George F. Corliss; Tsuginosuke Sakauchi; Steven R. Vitullo; Ronald H. Brown

2011-01-01T23:59:59.000Z

438

World Best Practice Energy Intensity Values for Selected Industrial Sectors  

E-Print Network (OSTI)

Energy Use in the Steel Industry. Brussels: IISI. Worrell,1998. Energy Use in the Steel Industry. Brussels: IISI. 2.2.1998. Energy Use in the Steel Industry. Brussels: IISI. Best

Worrell, Ernst; Price, Lynn; Neelis, Maarten; Galitsky, Christina; Zhou, Nan

2007-01-01T23:59:59.000Z

439

The World Public Bike Collaborative: 2011 | Open Energy Information  

Open Energy Info (EERE)

The World Public Bike Collaborative: 2011 The World Public Bike Collaborative: 2011 Jump to: navigation, search Tool Summary LAUNCH TOOL Name: The World Public Bike Collaborative: 2011 Agency/Company /Organization: New Mobility Climate Change Focus Area: Transportation Website: www.ecoplan.org/wtpp/citybike_index.htm Cost: Free Coordinates: -13.133897°, 27.849332° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":-13.133897,"lon":27.849332,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

440

Waste Isolation Pilot Plant Attracts World Interest | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Waste Isolation Pilot Plant Attracts World Interest Waste Isolation Pilot Plant Attracts World Interest Waste Isolation Pilot Plant Attracts World Interest June 26, 2013 - 12:00pm Addthis Lights, Camera, Action! In May 2013, an INDIGO FILMS production crew prepares for an interview with EM's Carlsbad Field Office Chief Scientist Roger Nelson. INDIGO FILMS is producing a segment on WIPP for a program that highlights interesting, non-public locations that should air on the Travel Channel this fall. Lights, Camera, Action! In May 2013, an INDIGO FILMS production crew prepares for an interview with EM's Carlsbad Field Office Chief Scientist Roger Nelson. INDIGO FILMS is producing a segment on WIPP for a program that highlights interesting, non-public locations that should air on the Travel Channel this fall.

Note: This page contains sample records for the topic "world energy forecasts" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Waste Isolation Pilot Plant Attracts World Interest | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Isolation Pilot Plant Attracts World Interest Isolation Pilot Plant Attracts World Interest Waste Isolation Pilot Plant Attracts World Interest June 26, 2013 - 12:00pm Addthis Lights, Camera, Action! In May 2013, an INDIGO FILMS production crew prepares for an interview with EM's Carlsbad Field Office Chief Scientist Roger Nelson. INDIGO FILMS is producing a segment on WIPP for a program that highlights interesting, non-public locations that should air on the Travel Channel this fall. Lights, Camera, Action! In May 2013, an INDIGO FILMS production crew prepares for an interview with EM's Carlsbad Field Office Chief Scientist Roger Nelson. INDIGO FILMS is producing a segment on WIPP for a program that highlights interesting, non-public locations that should air on the Travel Channel this fall. A group of Texas A&M University nuclear engineering students shows enthusiasm for WIPP’s underground operations in May 2013.

442

Event:World Solid Waste Congress 2012 | Open Energy Information  

Open Energy Info (EERE)

Solid Waste Congress 2012 Solid Waste Congress 2012 Jump to: navigation, search Calendar.png World Solid Waste Congress 2012: on 2012/09/17 During the three days of this Congress you can meet academics presenting cutting edge research; scientists, government administrators and decision makers, representatives of the world's largest companies in the waste sector, and many other practitioners too from small and medium enterprises. Florence 2012: where else in the world can you network with these people in such a short time The Congress location is at the Palazzo dei Congressi adjacent to the Santa Maria Novella mainline railway station in the City center. ATIA-ISWA ITALIA is also organising a series of events in Italy leading to the main Congress this year. This beautiful city will also host

443

Secretary Chu's Remarks at the World Renewable Energy Forum Press...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

and factories. A stage of this revolution was electrification and the transition to petroleum-based energy sources for transportation energy. I would define a "second...

444

3rd World Materials Research Institute Forum & Energy ...  

Science Conference Proceedings (OSTI)

... 1: Energy/Materials policy H.Kung (DOE), R.Tomellini (EC), M.Kitagawa (NIMS) Session 2: Materials Technologies for Solar Energy Session 3 ...

2012-10-02T23:59:59.000Z

445

EIA projects world energy consumption will increase 56% by 2040 ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... solar, wind, geothermal, biomass and ethanol. Nuclear & Uranium.

446

Seeking Greater Influence in the World of Low-Energy Buildings | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Seeking Greater Influence in the World of Low-Energy Buildings Seeking Greater Influence in the World of Low-Energy Buildings Seeking Greater Influence in the World of Low-Energy Buildings July 23, 2010 - 4:03pm Addthis Cindy Regnier, low-energy building designer Cindy Regnier, low-energy building designer Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs After 13 years of working in the private sector as a designer of low-energy buildings, Cindy Regnier felt that she wanted to have a bigger impact. Making a single school or data center or housing complex more energy efficient was satisfying, but Regnier wanted to influence things on an even greater scale. When the Department of Energy started announcing last year ambitious Recovery Act-funded programs to promote energy efficiency in the building

447

Peak Population: Timing and Influences of Peak Energy on the World and the United States  

E-Print Network (OSTI)

Peak energy is the notion that the worlds total production of usable energy will reach a maximum value and then begin an inexorable decline. Ninety-two percent of the worlds energy is currently derived from the non-renewable sources (oil, coal, natural gas and nuclear). As each of these non-renewable sources individually peaks in production, we can see total energy production peak. The human population is tightly correlated with global energy production, as agriculture and material possessions are energy intensive. It follows that peak energy should have a significant effect on world population. Using a set of mathematical models, including M King Hubberts oil peak mathematics, we prepared three models. The first approached the peak energy and population problem from the point of view of a black-box homogeneous world. The second model divides the world into ten major regions to study the global heterogeneity of the peak energy and population question. Both of these models include various scenarios for how the world population will develop based on available energy and per capita consumption of that energy. The third model examines energy and climate change within the forty-eight contiguous American states in order to identify some of the best and some of the worst states in which to live in the year 2050. The black box model indicates that peak energy will occur in 2026 at a maximum production of 104.1 billion barrels of oil equivalent (BBOE). Total energy production in 2011 was 92.78 BBOE. Three scenarios of different energy consumption rates suggest a peak world population occurring between 2026 and 2036, at 7.6-8.3 billion. The regional model indicates that even as each region protects its own energy resources, most of the world will reach peak energy by 2030, and world populations peak between 7.5 and 9 billion. A certain robustness in our conclusion is warranted as similar numbers were obtained via two separate approaches. The third model used several different parameters in order to ascertain that, in general, states that are projected to slow towards flat-line population growth and to become milder due to climate change such as Rhode Island, New York and Ohio are far more suitable with regard to an energy limited world than states that are projected to grow in population as well as become less mild due to climate change such as Texas, Arizona and Nevada. Each of these models in its own way foreshadows necessary changes that the world will experience as the 21st century progresses. The economies of the world have been, and continue to be, built on energy. When energy production is unable to continue growing it must follow that economies will be unable to grow. As the world approaches and passes peak energy, the standard of living in the less developed areas of the world cannot improve without sacrifices being made in the developed world.

Warner, Kevin 1987-

2012-12-01T23:59:59.000Z

448

Bold Step by the World to Fusion Energy: ITER  

E-Print Network (OSTI)

HISTORY OF INT'L COLLABORATION · 1958: WORLD-WIDE DECLASSIFICATION OF MAGNETICALLY CONFINED FUSIONV TEMPERATURES [20 MILLION DEGREES F] · 1970'S: OIL CRISIS PROPELS MAJOR INVESTMENT IN FUSION RESEARCH FACILITIES HISTORY AND KEY FUSION SCIENCE ADVANCES 85 90 95 00 05 85 90 95 00 05 CDA EDA EDA -ext US out AT

450

Energy history chronology from World War II to the present  

SciTech Connect

This report provides a basic guide to the major Presidential, Legislative, Judicial, and Federal agency actions relating to energy policy, research, development, and regulation in recent years. The chronology is arranged synoptically, allowing users to reference easily the historical context in which each event occurred. Summaries of Presidential, Legislative, and Judicial actions relating to energy, rosters of federal energy officials, and a genealogy of federal energy agencies are also provided in separate appendices. The Energy History Chronology was prepared in conjunction with the History Division's series of pamphlets on the Institutional Origins of the Department of Energy. The series includes concise histories of the Department of Energy, the Energy Research and Development Administration, the Federal Energy Administration, and the Atomic Energy Commission. All significant events and achievements noted in the institutional history are also listed.

Dean, P.C.

1982-08-01T23:59:59.000Z

451

U.S. Department of Energy Launches Real World Design Challenge | Department  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Real World Design Challenge Real World Design Challenge U.S. Department of Energy Launches Real World Design Challenge October 20, 2008 - 4:14pm Addthis Goal of New Competition Is to Inspire High School Students to Study Engineering WASHINGTON, DC - The U.S. Department of Energy (DOE) has launched the Real World Design Challenge (RWDC), a new annual competition that provides high school students with the opportunity to work on real world engineering challenges in a collaborative environment. The purpose of the RWDC is to ensure the future of our Nation's economic competitiveness and national security by inspiring today's students to become tomorrow's engineers. "The Real World Design Challenge is intended to engage high school students with real engineering problems faced by industry," said Bill Valdez,

452

DOE Launches World-Class Virtual Energy Simulation Training and Research  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Launches World-Class Virtual Energy Simulation Training and Launches World-Class Virtual Energy Simulation Training and Research Center DOE Launches World-Class Virtual Energy Simulation Training and Research Center August 22, 2011 - 1:00pm Addthis Washington, DC - A new training center developed to teach personnel how to operate clean integrated gasification combined cycle (IGCC) power plants is now up and running with help from the U.S. Department of Energy (DOE). The Advanced Virtual Energy Simulation Training and Research (AVESTAR™) center consists of two equivalent facilities--one at the Office of Fossil Energy's National Energy Technology Laboratory (NETL) and the other at West Virginia University's National Research Center for Coal and Energy. Established as part of DOE's initiative to advance new clean coal

453

Entech Solar Inc formerly WorldWater Solar Technologies | Open Energy  

Open Energy Info (EERE)

WorldWater Solar Technologies WorldWater Solar Technologies Jump to: navigation, search Name Entech Solar Inc. (formerly WorldWater & Solar Technologies) Place Fort Worth, Texas Zip 76177 Sector Solar Product Texas-based solar energy systems manufacturer. References Entech Solar Inc. (formerly WorldWater & Solar Technologies)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Entech Solar Inc. (formerly WorldWater & Solar Technologies) is a company located in Fort Worth, Texas . References ↑ "Entech Solar Inc. (formerly WorldWater & Solar Technologies)" Retrieved from "http://en.openei.org/w/index.php?title=Entech_Solar_Inc_formerly_WorldWater_Solar_Technologies&oldid=344989

454

China Joins WorldWideScience Alliance | OSTI, US Dept of Energy, Office of  

Office of Scientific and Technical Information (OSTI)

China Joins WorldWideScience Alliance China Joins WorldWideScience Alliance NEWS MEDIA CONTACT: Cathey Daniels, (865) 576-9539 FOR IMMEDIATE RELEASE October 14, 2008 China Joins WorldWideScience Alliance Oak Ridge, TN - The U.S. Department of Energy's (DOE) Office of Scientific and Technical Information (OSTI) today announced that the People's Republic of China has joined the WorldWideScience Alliance-the multilateral governance structure for the global science gateway, WorldWideScience.org. WorldWideScience.org is intended to accelerate international scientific progress by serving as a single, sophisticated point of access for diverse scientific resources and expertise from nations around the world. The addition of China is a notable milestone, as it is a major global contributor to scientific knowledge.

455

Coalition of World Energy Ministers Commit to Improvements in...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

by the Clean Energy Ministerial and support the goal of sustainable energy for all by 2030, the primary objective of the Secretary-General's initiative. Both the CEM and the...

456

Global Energy & Mining Data, World Bank (1970 - 2007)  

Open Energy Info (EERE)

the following contents:

  • Alternative and Nuclear Energy: Percentage of Total Energy Use
  • Combustible Renewables and Waste: Metric Tons of Oil...

457

World Institute for Nuclear Security Launch | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Institute for Nuclear Security Launch Institute for Nuclear Security Launch World Institute for Nuclear Security Launch September 29, 2008 - 3:43pm Addthis Remarks as Prepared for Secretary Bodman Thank you. My thanks to Director General El Baradei and