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Note: This page contains sample records for the topic "forecast year equipment" 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.


1

Forecast of contracting and subcontracting opportunities. Fiscal year 1996  

SciTech Connect (OSTI)

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

NONE

1996-02-01T23:59:59.000Z

2

Forecast of Contracting and Subcontracting Opportunities, Fiscal year 1995  

SciTech Connect (OSTI)

Welcome to the US Department of Energy`s Forecast of Contracting and Subcontracting Opportunities. This forecast, which is published pursuant to Public Low 100--656, ``Business Opportunity Development Reform Act of 1988,`` is intended to inform small business concerns, including those owned and controlled by socially and economically disadvantaged individuals, and women-owned small business concerns, of the anticipated fiscal year 1995 contracting and subcontracting opportunities with the Department of Energy and its management and operating contractors and environmental restoration and waste management contractors. This document will provide the small business contractor with advance notice of the Department`s procurement plans as they pertain to small, small disadvantaged and women-owned small business concerns.Opportunities contained in the forecast support the mission of the Department, to serve as advocate for the notion`s energy production, regulation, demonstration, conservation, reserve maintenance, nuclear weapons and defense research, development and testing, when it is a national priority. The Department`s responsibilities include long-term, high-risk research and development of energy technology, the marketing of Federal power, and maintenance of a central energy data collection and analysis program. A key mission for the Department is to identify and reduce risks, as well as manage waste at more than 100 sites in 34 states and territories, where nuclear energy or weapons research and production resulted in radioactive, hazardous, and mixed waste contamination. Each fiscal year, the Department establishes contracting goals to increase contracts to small business concerns and meet our mission objectives.

Not Available

1995-02-01T23:59:59.000Z

3

Analysis of moisture variability in the European Centre for Medium-Range Weather Forecasts 15-year  

E-Print Network [OSTI]

Analysis of moisture variability in the European Centre for Medium-Range Weather Forecasts 15-year Centre for Medium-Range Weather Forecasts 15-year reanalysis (ERA-15) moisture over the tropical oceans. Introduction [2] Because water vapor is the most significant green- house gas and it exhibits a strong

Allan, Richard P.

4

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

SciTech Connect (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

5

Computer aids for electronic equipment design — 21 years on  

Science Journals Connector (OSTI)

In 1968, Eric Wolfendale wrote an article entitled ‘Computer aids for electronic equipment design’ in the first issue of Computer-Aided Design. At the time Wolfendale led a team within Racal Research Ltd that was investigating the possibilities for automating aspects of the process of designing electronic equipment. In the intervening twenty years, Wolfendale's research team has transformed itself into a supplier of electronic design automation (EDA) systems, the Racal Redac Group. Reading Wolfendale's article now is an enlightening task, because it reveals that while substantial progress has been made in developing software to support EDA, the pioneers in the field had clearly identified most, if not all, of the major issues.

R. Barrett

1989-01-01T23:59:59.000Z

6

CSUF Economic Outlook and Forecasts MidYear Update -April 2013  

E-Print Network [OSTI]

CSUF Economic Outlook and Forecasts MidYear Update - April 2013 Anil Puri & Mira Farka Mihaylo College of Business and Economics California State University, Fullerton U.S. Economic Outlook to the forecast and a are-up in the region can easily derail the global economic recovery. Nonetheless

de Lijser, Peter

7

most are government agencies --local, national and international. A ten-year industry forecast put together  

E-Print Network [OSTI]

most are government agencies -- local, national and international. A ten-year industry forecast put environmental, civil government, defence and security, and transportation as the most active market segments combine geographic information systems with satellite data are in demand in a variety of disciplines

Wisconsin at Madison, University of

8

Equipment  

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

Facility: Building 382 Rev. 1, 02/11/00 Facility: Building 382 Rev. 1, 02/11/00 Training: (1) ESH114 Lockout/Tagout ASD125 APS LOTO ESH371 Electrical Safety - General ESH195 PPE ESH141 Hand and Power Tools (2) ESH707 Accelerator Worker ESH738 GERT (3) ESH196 Hazard Communication ESH376 or 456 Chemical Waste (4) ASDSF6 (5) ESH170 OSHA Lead Standard ESH196 Hazard Communication ESH195 PPE ESH141 Hand and Power Tools (6) ESH195 PPE ESH141 Hand and Power Tools (7) Informal OJT (8) Formal OJT Management Tools: (A) ANL-E ESH Manual SMART (B) APS-SAD APS-CO (C) Waste Handling Procedure Manual Equipment Hazards Engineered Controls Electrical Safety Training References Electrical Safety Procedures Mechanical Safety Training References Mechanical

9

AN APPLICATION OF URBANSIM TO THE AUSTIN, TEXAS REGION: INTEGRATED-MODEL FORECASTS FOR THE YEAR 2030  

E-Print Network [OSTI]

AN APPLICATION OF URBANSIM TO THE AUSTIN, TEXAS REGION: INTEGRATED-MODEL FORECASTS FOR THE YEAR, as well as energy consumption and greenhouse gas emissions. This work describes the modeling of year-2030 policies significantly impact the region's future land use patterns, traffic conditions, greenhouse gas

Kockelman, Kara M.

10

The Curious Case of the El Niño That Never Happened: A perspective from 40 years of progress in climate research and forecasting  

Science Journals Connector (OSTI)

Capsule: The first ever El Niño forecast 40 years ago was, in retrospect, a failure. We turn back the clock to 1975, the forecast target year, to reconstruct what happened and why. The mystery is solved, but the quest for deeper understanding of El Niño ...

Michael J. McPhaden; Axel Timmermann; Matthew J. Widlansky; Magdalena A.; Balmaseda; Timothy N. Stockdale

11

Oil prices — Brownian motion or mean reversion? A study using a one year ahead density forecast criterion  

Science Journals Connector (OSTI)

For oil related investment appraisal, an accurate description of the evolving uncertainty in the oil price is essential. For example, when using real option theory to value an investment, a density function for the future price of oil is central to the option valuation. The literature on oil pricing offers two views. The arbitrage pricing theory literature for oil suggests geometric Brownian motion and mean reversion models. Empirically driven literature suggests ARMA–GARCH models. In addition to reflecting the volatility of the market, the density function of future prices should also incorporate the uncertainty due to price jumps, a common occurrence in the oil market. In this study, the accuracy of density forecasts for up to a year ahead is the major criterion for a comparison of a range of models of oil price behaviour, both those proposed in the literature and following from data analysis. The Kullbach Leibler information criterion is used to measure the accuracy of density forecasts. Using two crude oil price series, Brent and West Texas Intermediate (WTI) representing the US market, we demonstrate that accurate density forecasts are achievable for up to nearly two years ahead using a mixture of two Gaussians innovation processes with GARCH and no mean reversion.

Nigel Meade

2010-01-01T23:59:59.000Z

12

Office equipment energy use and trends  

SciTech Connect (OSTI)

Office information technologies are using an increasing amount of energy in commercial buildings. During recent forecasting hearings in California, the office equipment end use has been a major source of differences among forecasts of commercial sector energy use. Not only are there major differences in forecasted load growth resulting from the energy use of office equipment, but there are also differences in interpretations of historical and base-year estimates. Understanding office equipment energy use is particularly important because office equipment is widely believed to be the fastest growing electrical end use in the fastest growing sector. This report describes the development and application of a spreadsheet to estimate current and future energy use by office equipment. We define the term ``office equipment`` to mean information processing technologies used in buildings. The seven categories of office equipment relate to categories found in our analysis of utility surveys and industry sales reports. These seven categories of equipment are examined for eleven types of commercial buildings.

Piette, M.A.; Eto, J.H.; Harris, J.P.

1991-09-01T23:59:59.000Z

13

Office equipment energy use and trends  

SciTech Connect (OSTI)

Office information technologies are using an increasing amount of energy in commercial buildings. During recent forecasting hearings in California, the office equipment end use has been a major source of differences among forecasts of commercial sector energy use. Not only are there major differences in forecasted load growth resulting from the energy use of office equipment, but there are also differences in interpretations of historical and base-year estimates. Understanding office equipment energy use is particularly important because office equipment is widely believed to be the fastest growing electrical end use in the fastest growing sector. This report describes the development and application of a spreadsheet to estimate current and future energy use by office equipment. We define the term office equipment'' to mean information processing technologies used in buildings. The seven categories of office equipment relate to categories found in our analysis of utility surveys and industry sales reports. These seven categories of equipment are examined for eleven types of commercial buildings.

Piette, M.A.; Eto, J.H.; Harris, J.P.

1991-09-01T23:59:59.000Z

14

The forecast of the development of the market for gas turbine equipment in the years 2013–2021 (review)  

Science Journals Connector (OSTI)

The data are given, according to which, 12521 power-generating gas turbines will be manufactured in 2011–2021. More than 32% of these turbines will be made by Solar, while products made by General Electric will ....

V. V. Goncharov

2013-09-01T23:59:59.000Z

15

Forecast Prices  

Gasoline and Diesel Fuel Update (EIA)

Notes: Notes: Prices have already recovered from the spike, but are expected to remain elevated over year-ago levels because of the higher crude oil prices. There is a lot of uncertainty in the market as to where crude oil prices will be next winter, but our current forecast has them declining about $2.50 per barrel (6 cents per gallon) from today's levels by next October. U.S. average residential heating oil prices peaked at almost $1.50 as a result of the problems in the Northeast this past winter. The current forecast has them peaking at $1.08 next winter, but we will be revisiting the outlook in more detail next fall and presenting our findings at the annual Winter Fuels Conference. Similarly, diesel prices are also expected to fall. The current outlook projects retail diesel prices dropping about 14 cents per gallon

16

RACORO Forecasting  

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

Daniel Hartsock CIMMS, University of Oklahoma ARM AAF Wiki page Weather Briefings Observed Weather Cloud forecasting models BUFKIT forecast soundings + guidance...

17

Huge market forecast for linear LDPE  

Science Journals Connector (OSTI)

Huge market forecast for linear LDPE ... It now appears that the success of the new technology, which rests largely on energy and equipment cost savings, could be overwhelming. ...

1980-08-25T23:59:59.000Z

18

Forecast of Advanced Technology for Coal Power Generation Towards the Year of 2050 in CO2 Reduction Model of Japan  

Science Journals Connector (OSTI)

Abstract In the fossil fuel, coal is enough to get easily because it has supply and price stability brought about its ubiquitously. Coal is used for power generation as the major fuel in the world. However it is true that control of global warming should be applied to coal power generations. Therefore, many people expect CO2 reduction by technical innovation such as efficiency improvement, Carbon dioxide Capture and Storage (CCS). In case of coal power plant are considered for improving efficiency. Some of them have already put into commercial operation but others are still under R&D stage. Especially, the technical development prospect of the power plant is very important for planning the energy strategy in the resource-importing country. Japan Coal Energy Center (JCOAL) constructed a program to forecast the share of advanced coal fired plants/natural gas power plants towards the year of 2050. Then, we simulated the future prediction about 2 cases (the Japanese scenario and the world scenario). The fuel price and the existence of CCS were considered in the forecast of the technical development of the thermal power generation. Especially in the Japanese scenario, we considered the CO2 reduction target which is 80% reduction in 1990. In the world scenario, coal price had almost no influence on the share of coal fired plant. However, when the gas price increased 1.5% or more, the share of coal fired plant increased. In that case, CO2 emissions increased because coal-fired plant increased. Compared with both cases, the amount of CO2 in 2050 without CCS case was 50% higher than that of with CCS case. In Japanese scenario, achievement of 80% CO2 reduction target is impossible without CCS. If CCS is introduced into all the new establishment coal fired plant, CO2 reduction target can be attained. In the Japanese scenario, the gas price more expensive than a coal price so that the amount of the coal fired plant does not decline. Since the reduction of the amount of CO2 will be needed in all over the world, introductory promotion and technical development of CCS are very important not only Japan but also all over the world.

Takashi Nakamura; Keiji Makino; Kunihiko Shibata; Michiaki Harada

2013-01-01T23:59:59.000Z

19

Forecasting wireless communication technologies  

Science Journals Connector (OSTI)

The purpose of the paper is to present a formal comparison of a variety of multiple regression models in technology forecasting for wireless communication. We compare results obtained from multiple regression models to determine whether they provide a superior fitting and forecasting performance. Both techniques predict the year of wireless communication technology introduction from the first (1G) to fourth (4G) generations. This paper intends to identify the key parameters impacting the growth of wireless communications. The comparison of technology forecasting approaches benefits future researchers and practitioners when developing a prediction of future wireless communication technologies. The items of focus will be to understand the relationship between variable selection and model fit. Because the forecasting error was successfully reduced from previous approaches, the quadratic regression methodology is applied to the forecasting of future technology commercialisation. In this study, the data will show that the quadratic regression forecasting technique provides a better fit to the curve.

Sabrina Patino; Jisun Kim; Tugrul U. Daim

2010-01-01T23:59:59.000Z

20

Predictability of European air quality: Assessment of 3 years of operational forecasts and analyses by the PREV'AIR system  

E-Print Network [OSTI]

- ments are still needed to manage and control the impacts of air pollution on health. [3] Facing, is proved to improve ozone forecasts, especially when photochemical pollution episodes occur. The PREV'AIR and laws regarding the pollutants of utmost importance in relation to human health, air pollution is still

Menut, Laurent

Note: This page contains sample records for the topic "forecast year equipment" 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

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,

22

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.

23

Antarctic Satellite Meteorology: Applications for Weather Forecasting  

Science Journals Connector (OSTI)

For over 30 years, weather forecasting for the Antarctic continent and adjacent Southern Ocean has relied on weather satellites. Significant advancements in forecasting skill have come via the weather satellite. The advent of the high-resolution ...

Matthew A. Lazzara; Linda M. Keller; Charles R. Stearns; Jonathan E. Thom; George A. Weidner

2003-02-01T23:59:59.000Z

24

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

25

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

26

Updated Buildings Sector Appliance and Equipment Costs and Efficiency  

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

Full report (4.1 mb) Full report (4.1 mb) Heating, cooling, & water heating equipment Appendix A - Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case (1.9 mb) Appendix B - Technology Forecast Updates - Residential and Commercial Building Technologies - Advanced Case (1.3 mb) Lighting and commercial ventilation & refrigeration equipment Appendix C - Technology Forecast Updates - Residential and Commercial Building Technologies - Reference Case (1.1 mb) Appendix D - Technology Forecast Updates - Residential and Commercial Building Technologies - Advanced Case (1.1 mb) Updated Buildings Sector Appliance and Equipment Costs and Efficiency Release date: August 7, 2013 Energy used in the residential and commercial sectors provides a wide range

27

UHERO FORECAST PROJECT DECEMBER 5, 2014  

E-Print Network [OSTI]

deficits. After solid 3% growth this year, real GDP growth will recede a bit for the next two years. New household spending. Real GDP will firm above 3% in 2015. · The pace of growth in China has continuedUHERO FORECAST PROJECT DECEMBER 5, 2014 Asia-Pacific Forecast: Press Version: Embargoed Until 2

28

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":""}]}

29

Forecasting Capital Expenditure with Plan Data  

Science Journals Connector (OSTI)

The short-term forecasting of capital expenditure presents one of the most difficult problems ... reason is that year-to-year fluctuations in capital expenditure are extremely wide. Some simple methods which...

W. Gerstenberger

1977-01-01T23:59:59.000Z

30

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.

31

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

32

Building Energy Software Tools Directory: Degree Day Forecasts  

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

33

Cleanroom Equipment  

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

Conventional Machining Engis Lapping and Polishing Machine MET One particle Counter Sand Blaster Cabinet Flycutting Machine Lithography Equipment Mann 600 Pattern Generator Oriel...

34

Aggregate vehicle travel forecasting model  

SciTech Connect (OSTI)

This report describes a model for forecasting total US highway travel by all vehicle types, and its implementation in the form of a personal computer program. The model comprises a short-run, econometrically-based module for forecasting through the year 2000, as well as a structural, scenario-based longer term module for forecasting through 2030. The short-term module is driven primarily by economic variables. It includes a detailed vehicle stock model and permits the estimation of fuel use as well as vehicle travel. The longer-tenn module depends on demographic factors to a greater extent, but also on trends in key parameters such as vehicle load factors, and the dematerialization of GNP. Both passenger and freight vehicle movements are accounted for in both modules. The model has been implemented as a compiled program in the Fox-Pro database management system operating in the Windows environment.

Greene, D.L.; Chin, Shih-Miao; Gibson, R. [Tennessee Univ., Knoxville, TN (United States)

1995-05-01T23:59:59.000Z

35

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.

36

Forecasting supply/demand and price of ethylene feedstocks  

SciTech Connect (OSTI)

The history of the petrochemical industry over the past ten years clearly shows that forecasting in a turbulent world is like trying to predict tomorrow's headlines.

Struth, B.W.

1984-08-01T23:59:59.000Z

37

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

38

YEAR  

National Nuclear Security Administration (NNSA)

96 YEAR 2013 Males 69 Females 27 YEAR 2013 SES 1 EJEK 9 EN 04 27 NN (Engineering) 26 NQ (ProfTechAdmin) 30 NU (TechAdmin Support) 3 YEAR 2013 American Indian Alaska Native Male...

39

1993 Solid Waste Reference Forecast Summary  

SciTech Connect (OSTI)

This report, which updates WHC-EP-0567, 1992 Solid Waste Reference Forecast Summary, (WHC 1992) forecasts the volumes of solid wastes to be generated or received at the US Department of Energy Hanford Site during the 30-year period from FY 1993 through FY 2022. The data used in this document were collected from Westinghouse Hanford Company forecasts as well as from surveys of waste generators at other US Department of Energy sites who are now shipping or plan to ship solid wastes to the Hanford Site for disposal. These wastes include low-level and low-level mixed waste, transuranic and transuranic mixed waste, and nonradioactive hazardous waste.

Valero, O.J.; Blackburn, C.L. [Westinghouse Hanford Co., Richland, WA (United States); Kaae, P.S.; Armacost, L.L.; Garrett, S.M.K. [Pacific Northwest Lab., Richland, WA (United States)

1993-08-01T23:59:59.000Z

40

Wind Power Forecasting  

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

Retrospective Reports 2011 Smart Grid Wind Integration Wind Integration Initiatives Wind Power Forecasting Wind Projects Email List Self Supplied Balancing Reserves Dynamic...

Note: This page contains sample records for the topic "forecast year equipment" 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

Solar forecasting review  

E-Print Network [OSTI]

2.1.2 European Solar Radiation Atlas (ESRA)2.4 Evaluation of Solar Forecasting . . . . . . . . .2.4.1 Solar Variability . . . . . . . . . . . . .

Inman, Richard Headen

2012-01-01T23:59:59.000Z

42

Wind Power Forecasting  

Science Journals Connector (OSTI)

The National Center for Atmospheric Research (NCAR) has configured a Wind Power Forecasting System for Xcel Energy that integrates high resolution and ensemble...

Sue Ellen Haupt; William P. Mahoney; Keith Parks

2014-01-01T23:59:59.000Z

43

Energy Demand Forecasting  

Science Journals Connector (OSTI)

This chapter presents alternative approaches used in forecasting energy demand and discusses their pros and cons. It... Chaps. 3 and 4 ...

S. C. Bhattacharyya

2011-01-01T23:59:59.000Z

44

Improving Inventory Control Using Forecasting  

E-Print Network [OSTI]

This project studied and analyzed Electronic Controls, Inc.’s forecasting process for three high-demand products. In addition, alternative forecasting methods were developed to compare to the current forecast method. The ...

Balandran, Juan

2005-12-16T23:59:59.000Z

45

YEAR  

National Nuclear Security Administration (NNSA)

2540 YEAR 2013 Males 1677 Females 863 YEAR 2013 SES 102 EX 3 SL 1 EJEK 89 EN 05 41 EN 04 170 EN 03 18 NN (Engineering) 448 NQ (ProfTechAdmin) 1249 NU (TechAdmin Support) 76 NV...

46

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.

47

Forecasting 65+ travel : an integration of cohort analysis and travel demand modeling  

E-Print Network [OSTI]

Over the next 30 years, the Boomers will double the 65+ population in the United States and comprise a new generation of older Americans. This study forecasts the aging Boomers' travel. Previous efforts to forecast 65+ ...

Bush, Sarah, 1973-

2003-01-01T23:59:59.000Z

48

Technology Forecasting Scenario Development  

E-Print Network [OSTI]

Technology Forecasting and Scenario Development Newsletter No. 2 October 1998 Systems Analysis was initiated on the establishment of a new research programme entitled Technology Forecasting and Scenario and commercial applica- tion of new technology. An international Scientific Advisory Panel has been set up

49

CAPP 2010 Forecast.indd  

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

Forecast, Markets & Pipelines 1 Crude Oil Forecast, Markets & Pipelines June 2010 2 CANADIAN ASSOCIATION OF PETROLEUM PRODUCERS Disclaimer: This publication was prepared by the...

50

Laboratory Equipment Donation Program - Equipment Applications  

Office of Scientific and Technical Information (OSTI)

Specific questions concerning equipment should be directed to the point of Specific questions concerning equipment should be directed to the point of contact responsible for the item(s) under consideration. This information is listed on the "Equipment Information" page, as well as on the grant award e-mail sent to the applicant. Step 1: Search and Apply for Equipment Note: If you know the Item Control Number of the equipment you need, you may go directly to the on-line application. Please follow these procedures to "Search Equipment" and apply for equipment using the LEDP Online Application: Select the "Search Equipment" menu link. Enter the type of equipment desired into the search box or choose the "Equipment List" link, which will allow you see a complete list of available equipment. Select the "Item Control Number" for the desired equipment. This

51

YEAR  

National Nuclear Security Administration (NNSA)

1 1 YEAR 2011 Males 18 Females 23 YEAR 2011 SES 2 EJ/EK 2 NQ (Prof/Tech/Admin) 35 NU (Tech/Admin Support) 2 YEAR 2011 American Indian Male 1 American Indian Female 2 African American Male 3 African American Female 9 Asian Male 0 Asian Female 0 Hispanic Male 2 Hispanic Female 6 White Male 12 White Female 6 DIVERSITY Workforce Diversity Associate Administrator for Information Management & Chief Information Officer, NA-IM As of Sep 24, 2011 PAY PLAN TOTAL WORKFORCE GENDER 18 43.9% 23 56.1% Gender Males Females 4.9% 4.9% 85.4% 4.9% Pay Plan SES EJ/EK NQ (Prof/Tech/Admin) NU (Tech/Admin Support) 2.4% 4.9% 7.3% 22.0% 0.0% 0.0% 4.9% 14.6% 29.3% 14.6% Race and Gender American Indian Male American Indian Female African American Male African American Female Asian Male Asian Female Hispanic Male

52

YEAR  

National Nuclear Security Administration (NNSA)

4 4 YEAR 2011 Males 21 Females 23 YEAR 2011 SES 3 EJ/EK 1 EN 03 1 NN (Engineering) 3 NQ (Prof/Tech/Admin) 31 NU (Tech/Admin Support) 5 YEAR 2011 American Indian Male 0 American Indian Female 0 African American Male 1 African American Female 2 Asian Male 1 Asian Female 1 Hispanic Male 6 Hispanic Female 10 White Male 13 White Female 10 DIVERSITY Workforce Diversity Office of General Counsel, NA-GC As of Sep 24, 2011 PAY PLAN TOTAL WORKFORCE GENDER 21 47.7% 23 52.3% Gender Males Females 6.8% 2.3% 2.3% 6.8% 70.5% 11.4% Pay Plan SES EJ/EK EN 03 NN (Engineering) NQ (Prof/Tech/Admin) NU (Tech/Admin Support) 0.0% 0.0% 2.3% 4.5% 2.3% 2.3% 13.6% 22.7% 29.5% 22.7% Race and Gender American Indian Male American Indian Female African American Male African American Female Asian Male Asian Female Hispanic Male

53

YEAR  

National Nuclear Security Administration (NNSA)

6 6 YEAR 2011 Males 7 Females 9 YEAR 2011 SES 1 NQ (Prof/Tech/Admin) 9 GS 15 2 GS 13 2 GS 12 1 GS 11 1 YEAR 2011 American Indian Male 0 American Indian Female 0 African American Male 1 African American Female 3 Asian Male 1 Asian Female 0 Hispanic Male 1 Hispanic Female 0 White Male 4 White Female 6 DIVERSITY Workforce Diversity Associate Administrator of External Affairs, NA-EA As of Sep 24, 2011 PAY PLAN TOTAL WORKFORCE GENDER 7 43.8% 9 56.3% Gender Males Females 6.3% 56.3% 12.5% 12.5% 6.3% 6.3% Pay Plan SES NQ (Prof/Tech/Admin) GS 15 GS 13 GS 12 GS 11 0.0% 0.0% 6.3% 18.8% 6.3% 0.0% 6.3% 0.0% 25.0% 37.5% Race and Gender American Indian Male American Indian Female African American Male African American Female Asian Male Asian Female Hispanic Male Hispanic Female White Male White Female FY11 Workforce Diversity

54

YEAR  

National Nuclear Security Administration (NNSA)

40 40 YEAR 2011 Males 68 Females 72 YEAR 2011 SES 5 EJ/EK 1 NN (Engineering) 16 NQ (Prof/Tech/Admin) 115 NU (Tech/Admin Support) 3 YEAR 2011 American Indian Male 1 American Indian Female 2 African American Male 3 African American Female 7 Asian Male 4 Asian Female 0 Hispanic Male 25 Hispanic Female 26 White Male 35 White Female 37 DIVERSITY Workforce Diversity Associate Administrator for Acquistion & Project Management, NA-APM As of Sep 24, 2011 PAY PLAN TOTAL WORKFORCE GENDER 68 48.6% 72 51.4% Gender Males Females 3.6% 0.7% 11.4% 82.1% 2.1% Pay Plan SES EJ/EK NN (Engineering) NQ (Prof/Tech/Admin) NU (Tech/Admin Support) 0.7% 1.4% 2.1% 5.0% 2.9% 0.0% 17.9% 18.6% 25.0% 26.4% Race and Gender American Indian Male American Indian Female African American Male African American Female Asian Male

55

Developing electricity forecast web tool for Kosovo market  

Science Journals Connector (OSTI)

In this paper is presented a web tool for electricity forecast for Kosovo market for the upcoming ten years. The input data i.e. electricity generation capacities, demand and consume are taken from the document "Kosovo Energy Strategy 2009-2018" compiled ... Keywords: .NET, database, electricity forecast, internet, simulation, web

Blerim Rexha; Arben Ahmeti; Lule Ahmedi; Vjollca Komoni

2011-02-01T23:59:59.000Z

56

Valuing Climate Forecast Information  

Science Journals Connector (OSTI)

The article describes research opportunities associated with evaluating the characteristics of climate forecasts in settings where sequential decisions are made. Illustrative results are provided for corn production in east central Illinois. ...

Steven T. Sonka; James W. Mjelde; Peter J. Lamb; Steven E. Hollinger; Bruce L. Dixon

1987-09-01T23:59:59.000Z

57

Comparing Forecast Skill  

Science Journals Connector (OSTI)

A basic question in forecasting is whether one prediction system is more skillful than another. Some commonly used statistical significance tests cannot answer this question correctly if the skills are computed on a common period or using a common ...

Timothy DelSole; Michael K. Tippett

2014-12-01T23:59:59.000Z

58

Years  

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

and Technology in and Technology in the National Interest 60 Years of Excellence Lawrence Livermore National Laboratory FY 2012 Annual Report About the Cover: Lawrence Livermore National Laboratory (LLNL) engineers Chris Spadaccini (left) and Eric Duoss are shown experimenting with direct ink-writing to create micro- to macroscale structures with extreme precision. The Laboratory is advancing this process and other additive manufacturing technologies to develop new materials with extraordinary properties for use in a wide range of national-security and other applications. About the Laboratory: Lawrence Livermore National Laboratory was founded in 1952 to enhance the security of the United States by advancing nuclear weapons science and technology. With a talented and dedicated workforce and

59

Forecast of geothermal drilling activity  

SciTech Connect (OSTI)

The numbers of each type of geothermal well expected to be drilled in the United States for each 5-year period to 2000 AD are specified. Forecasts of the growth of geothermally supplied electric power and direct heat uses are presented. The different types of geothermal wells needed to support the forecasted capacity are quantified, including differentiation of the number of wells to be drilled at each major geothermal resource for electric power production. The rate of growth of electric capacity at geothermal resource areas is expected to be 15 to 25% per year (after an initial critical size is reached) until natural or economic limits are approached. Five resource areas in the United States should grow to significant capacity by the end of the century (The Geysers; Imperial Valley; Valles Caldera, NM; Roosevelt Hot Springs, UT; and northern Nevada). About 3800 geothermal wells are expected to be drilled in support of all electric power projects in the United States between 1981 and 2000 AD. Half of the wells are expected to be drilled in the Imperial Valley. The Geysers area is expected to retain most of the drilling activity for the next 5 years. By the 1990's, the Imperial Valley is expected to contain most of the drilling activity.

Brown, G.L.; Mansure, A.J.

1981-10-01T23:59:59.000Z

60

12-32021E2_Forecast  

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

FORECAST OF VACANCIES FORECAST OF VACANCIES Until end of 2014 (Issue No. 20) Page 2 OVERVIEW OF BASIC REQUIREMENTS FOR PROFESSIONAL VACANCIES IN THE IAEA Education, Experience and Skills: Professional staff at the P4-P5 levels: * Advanced university degree (or equivalent postgraduate degree); * 7 or 10 years, respectively, of experience in a field of relevance to the post; * Resource management experience; * Strong analytical skills; * Computer skills: standard Microsoft Office software; * Languages: Fluency in English. Working knowledge of other official languages (Arabic, Chinese, French, Russian, Spanish) advantageous; * Ability to work effectively in multidisciplinary and multicultural teams; * Ability to communicate effectively. Professional staff at the P1-P3 levels:

Note: This page contains sample records for the topic "forecast year equipment" 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

FY 1996 solid waste integrated life-cycle forecast characteristics summary. Volumes 1 and 2  

SciTech Connect (OSTI)

For the past six years, a waste volume forecast has been collected annually from onsite and offsite generators that currently ship or are planning to ship solid waste to the Westinghouse Hanford Company`s Central Waste Complex (CWC). This document provides a description of the physical waste forms, hazardous waste constituents, and radionuclides of the waste expected to be shipped to the CWC from 1996 through the remaining life cycle of the Hanford Site (assumed to extend to 2070). In previous years, forecast data has been reported for a 30-year time period; however, the life-cycle approach was adopted this year to maintain consistency with FY 1996 Multi-Year Program Plans. This document is a companion report to two previous reports: the more detailed report on waste volumes, WHC-EP-0900, FY1996 Solid Waste Integrated Life-Cycle Forecast Volume Summary and the report on expected containers, WHC-EP-0903, FY1996 Solid Waste Integrated Life-Cycle Forecast Container Summary. All three documents are based on data gathered during the FY 1995 data call and verified as of January, 1996. These documents are intended to be used in conjunction with other solid waste planning documents as references for short and long-term planning of the WHC Solid Waste Disposal Division`s treatment, storage, and disposal activities over the next several decades. This document focuses on two main characteristics: the physical waste forms and hazardous waste constituents of low-level mixed waste (LLMW) and transuranic waste (both non-mixed and mixed) (TRU(M)). The major generators for each waste category and waste characteristic are also discussed. The characteristics of low-level waste (LLW) are described in Appendix A. In addition, information on radionuclides present in the waste is provided in Appendix B. The FY 1996 forecast data indicate that about 100,900 cubic meters of LLMW and TRU(M) waste is expected to be received at the CWC over the remaining life cycle of the site. Based on ranges provided by the waste generators, this baseline volume could fluctuate between a minimum of about 59,720 cubic meters and a maximum of about 152,170 cubic meters. The range is primarily due to uncertainties associated with the Tank Waste Remediation System (TWRS) program, including uncertainties regarding retrieval of long-length equipment, scheduling, and tank retrieval technologies.

Templeton, K.J.

1996-05-23T23:59:59.000Z

62

Laboratory Equipment Donation Program - Contact Us  

Office of Scientific and Technical Information (OSTI)

End of Year Reports End of Year Reports At the end of the first year of using LEDP grant equipment, the grantee must provide DOE with a report on the use of the equipment. If a grantee does not submit a report, the DOE OPMO who approved the grant application can pull the equipment back, or not allow that institution to apply for more equipment. The report should describe: Any new courses instituted as a result of the grant of the equipment; Existing courses which have been expanded as a result of the grant of the equipment; Research activities, e.g., thesis titles, journals articles, sponsored research, etc.; and Other ways the equipment has been used to enhance courses, e.g., experiments, demonstrations, etc. If your item control Number starts with Send your report to 890565

63

Sandia National Laboratories: solar forecasting  

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

Energy, Modeling & Analysis, News, News & Events, Partnership, Photovoltaic, Renewable Energy, Solar, Systems Analysis The book, Solar Energy Forecasting and Resource...

64

Consensus Coal Production Forecast for  

E-Print Network [OSTI]

Rate Forecasts 19 5. EIA Forecast: Regional Coal Production 22 6. Wood Mackenzie Forecast: W.V. Steam to data currently published by the Energy Information Administration (EIA), coal production in the state in this report calls for state production to decline by 11.3 percent in 2009 to 140.2 million tons. During

Mohaghegh, Shahab

65

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

66

On Sequential Probability Forecasting  

E-Print Network [OSTI]

at the same time. [Probability, Statistics and Truth, MacMillan 1957. page 11] ... the collective "denotes a collective wherein the attribute of the single event is the number of points thrown. [Probability, StatisticsOn Sequential Probability Forecasting David A. Bessler 1 David A. Bessler Texas A&M University

McCarl, Bruce A.

67

User Electrical Equipment Inspections  

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

User Electronic and Electrical Equipment Inspection Criteria In order to be in compliance with NEC, OSHA, and DOE regulations all electronic and electrical equipment at the APS...

68

I strongly urge that the forecasts recognize the high oil prices and gas prices experienced in 2008 and not treat them as an unusual occurrence in the next 20 years. In the long term with cap and  

E-Print Network [OSTI]

I strongly urge that the forecasts recognize the high oil prices and gas prices experienced in 2008 and the development of carbon capture and storage applied to new coal fired generating stations, gas prices will only go up. Gas from the Rockies will move east as quickly as transport is available. To the extent

69

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect (OSTI)

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

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

2005-07-01T23:59:59.000Z

70

University of Delaware | CCEI Equipment  

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

CCEI Equipment Click column headings to sort Type Equipment Details Institution Type Equipment Details Institution: Lab Lab BACK TO TOP...

71

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

72

FORSITE: a geothermal site development forecasting system  

SciTech Connect (OSTI)

The Geothermal Site Development Forecasting System (FORSITE) is a computer-based system being developed to assist DOE geothermal program managers in monitoring the progress of multiple geothermal electric exploration and construction projects. The system will combine conceptual development schedules with site-specific status data to predict a time-phased sequence of development likely to occur at specific geothermal sites. Forecasting includes estimation of industry costs and federal manpower requirements across sites on a year-by-year basis. The main advantage of the system, which relies on reporting of major, easily detectable industry activities, is its ability to use relatively sparse data to achieve a representation of status and future development.

Entingh, D.J.; Gerstein, R.E.; Kenkeremath, L.D.; Ko, S.M.

1981-10-01T23:59:59.000Z

73

Solar forecasting review  

E-Print Network [OSTI]

P(t) and the boring solar sensor. Denoting the bulk veloci ¯equipped with solar irradiance sensors, see Figure 10.3.f that utilizes the low solar cost sensor network deployment

Inman, Richard Headen

2012-01-01T23:59:59.000Z

74

Agricultural Equipment | Open Energy Information  

Open Energy Info (EERE)

Equipment Incentives Retrieved from "http:en.openei.orgwindex.php?titleAgriculturalEquipment&oldid267143...

75

Price forecasting for notebook computers.  

E-Print Network [OSTI]

??This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a… (more)

Rutherford, Derek Paul

2012-01-01T23:59:59.000Z

76

Ensemble Forecasts and their Verification  

E-Print Network [OSTI]

· Ensemble forecast verification ­ Performance metrics: Brier Score, CRPSS · New concepts and developments of weather Sources: Insufficient spatial resolution, truncation errors in the dynamical equations

Maryland at College Park, University of

77

UNCERTAINTY IN THE GLOBAL FORECAST SYSTEM  

SciTech Connect (OSTI)

We validated one year of Global Forecast System (GFS) predictions of surface meteorological variables (wind speed, air temperature, dewpoint temperature, air pressure) over the entire planet for forecasts extending from zero hours into the future (an analysis) to 36 hours. Approximately 12,000 surface stations world-wide were included in this analysis. Root-Mean-Square- Errors (RMSE) increased as the forecast period increased from zero to 36 hours, but the initial RMSE were almost as large as the 36 hour forecast RMSE for all variables. Typical RMSE were 3 C for air temperature, 2-3mb for sea-level pressure, 3.5 C for dewpoint temperature and 2.5 m/s for wind speed. Approximately 20-40% of the GFS errors can be attributed to a lack of resolution of local features. We attribute the large initial RMSE for the zero hour forecasts to the inability of the GFS to resolve local terrain features that often dominate local weather conditions, e.g., mountain- valley circulations and sea and land breezes. Since the horizontal resolution of the GFS (about 1{sup o} of latitude and longitude) prevents it from simulating these locally-driven circulations, its performance will not improve until model resolution increases by a factor of 10 or more (from about 100 km to less than 10 km). Since this will not happen in the near future, an alternative for the near term to improve surface weather analyses and predictions for specific points in space and time would be implementation of a high-resolution, limited-area mesoscale atmospheric prediction model in regions of interest.

Werth, D.; Garrett, A.

2009-04-15T23:59:59.000Z

78

Energy Audit Equipment  

E-Print Network [OSTI]

The tools (equipment) needed to perform an energy audit include those items which assist the auditor in measuring the energy used by equipment or lost in inefficiency. Each tool is designed for a specific measurement. They can be inexpensive simple...

Phillips, J.

2012-01-01T23:59:59.000Z

79

Probabilistic manpower forecasting  

E-Print Network [OSTI]

- ing E. Results- Probabilistic Forecasting . 26 27 Z8 29 31 35 36 38 39 IV. CONCLUSIONS. V. GLOSSARY 42 44 APPENDICES REFERENCES 50 70 LIST OF TABLES Table Page Outline of Job-Probability Matrix Job-Probability Matrix. Possible... Outcomes of Job A Possible Outcomes of Jobs A and B 10 Possible Outcomes of Jobs A, B and C II LIST GF FIGURES Figure Page Binary Representation of Numbers 0 Through 7 12 First Cumulative Probability Table 14 3. Graph of Cumulative Probability vs...

Koonce, James Fitzhugh

1966-01-01T23:59:59.000Z

80

Diagnosing Forecast Errors in Tropical Cyclone Motion  

Science Journals Connector (OSTI)

This paper reports on the development of a diagnostic approach that can be used to examine the sources of numerical model forecast error that contribute to degraded tropical cyclone (TC) motion forecasts. Tropical cyclone motion forecasts depend ...

Thomas J. Galarneau Jr.; Christopher A. Davis

2013-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast year equipment" 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

Exponential smoothing with covariates applied to electricity demand forecast  

Science Journals Connector (OSTI)

Exponential smoothing methods are widely used as forecasting techniques in industry and business. Their usual formulation, however, does not allow covariates to be used for introducing extra information into the forecasting process. In this paper, we analyse an extension of the exponential smoothing formulation that allows the use of covariates and the joint estimation of all the unknowns in the model, which improves the forecasting results. The whole procedure is detailed with a real example on forecasting the daily demand for electricity in Spain. The time series of daily electricity demand contains two seasonal patterns: here the within-week seasonal cycle is modelled as usual in exponential smoothing, while the within-year cycle is modelled using covariates, specifically two harmonic explanatory variables. Calendar effects, such as national and local holidays and vacation periods, are also introduced using covariates. [Received 28 September 2010; Revised 6 March 2011, 2 October 2011; Accepted 16 October 2011

José D. Bermúdez

2013-01-01T23:59:59.000Z

82

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

83

Project Profile: Forecasting and Influencing Technological Progress...  

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

Forecasting and Influencing Technological Progress in Solar Energy Project Profile: Forecasting and Influencing Technological Progress in Solar Energy Logos of the University of...

84

Forecasting with adaptive extended exponential smoothing  

Science Journals Connector (OSTI)

Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various t...

John T. Mentzer Ph.D.

85

Electricity price forecasting in a grid environment.  

E-Print Network [OSTI]

??Accurate electricity price forecasting is critical to market participants in wholesale electricity markets. Market participants rely on price forecasts to decide their bidding strategies, allocate… (more)

Li, Guang, 1974-

2007-01-01T23:59:59.000Z

86

Energy Department Forecasts Geothermal Achievements in 2015 ...  

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

Forecasts Geothermal Achievements in 2015 Energy Department Forecasts Geothermal Achievements in 2015 The 40th annual Stanford Geothermal Workshop in January featured speakers in...

87

Comparison of Airbus, Boeing, Rolls-Royce and AVITAS market forecasts  

Science Journals Connector (OSTI)

Forecasts of future world demand for commercial aircraft are published fairly regularly by Airbus and Boeing. Other players in the aviation business, Rolls Royce and AVITAS, have also published forecasts in the past year. This article analyses and compares the methods used and assumptions made by the several forecasters. It concludes that there are wide areas of similarity in the approaches used and highlights the most significant area of divergence.

Ralph Anker

2000-01-01T23:59:59.000Z

88

Laboratory Equipment Donation Program - Equipment List  

Office of Scientific and Technical Information (OSTI)

Equipment List Equipment List Already know the item control number? Submit Reset Item Control Number Equipment Name Date Entered Condition Picture 89022833290004 1300594 TLD DETECTOR 12/16/2013 Repairable N/A 89022833290005 1300595 PICOMETER 12/16/2013 Repairable N/A 89022833290008 1300598 READER 12/16/2013 Repairable N/A 89022833290010 1300600 DETECTOR VACUUM PUMP 12/16/2013 Repairable N/A 89022833290016 1300606 TLD READER 12/16/2013 Repairable N/A 89022833290018 1300608 READER 12/16/2013 Repairable N/A 89022833290019 1300609 ANALYZER WITH DETECTOR 12/16/2013 Repairable N/A 89022833180013 1300993 PRESSURE REGULATOR 12/04/2013 Repairable N/A 89022833180022 1301098 VACUUM GAUGE 12/04/2013 Repairable N/A 89022833180023 1301099 OSCILLOSCOPE 12/04/2013 Repairable N/A

89

CCPP-ARM Parameterization Testbed Model Forecast Data  

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

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

Klein, Stephen

90

Solar Wind Forecasting with Coronal Holes  

E-Print Network [OSTI]

An empirical model for forecasting solar wind speed related geomagnetic events is presented here. The model is based on the estimated location and size of solar coronal holes. This method differs from models that are based on photospheric magnetograms (e.g., Wang-Sheeley model) to estimate the open field line configuration. Rather than requiring the use of a full magnetic synoptic map, the method presented here can be used to forecast solar wind velocities and magnetic polarity from a single coronal hole image, along with a single magnetic full-disk image. The coronal hole parameters used in this study are estimated with Kitt Peak Vacuum Telescope He I 1083 nm spectrograms and photospheric magnetograms. Solar wind and coronal hole data for the period between May 1992 and September 2003 are investigated. The new model is found to be accurate to within 10% of observed solar wind measurements for its best one-month periods, and it has a linear correlation coefficient of ~0.38 for the full 11 years studied. Using a single estimated coronal hole map, the model can forecast the Earth directed solar wind velocity up to 8.5 days in advance. In addition, this method can be used with any source of coronal hole area and location data.

S. Robbins; C. J. Henney; J. W. Harvey

2007-01-09T23:59:59.000Z

91

Electric Vehicle Supply Equipment  

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

Procurement of Electric Vehicle Supply Equipment This Guidance provides a description of the types of requirements to be included in an employer's workplace charging request for...

92

Renewable Energy Equipment Exemption  

Broader source: Energy.gov [DOE]

Iowa allow a sales tax exemption for solar, wind, and hydroelectricity equipment. As of May 2013, the Iowa sales tax rate is 6%.

93

Maersk Line Equipment guide  

National Nuclear Security Administration (NNSA)

a total capacity of 85 cubic metres We offer various types of extra equipment: * Hanger beams which allow transport of garments on hangers without further packing * Lashing bars...

94

Correcting and combining time series forecasters  

Science Journals Connector (OSTI)

Combined forecasters have been in the vanguard of stochastic time series modeling. In this way it has been usual to suppose that each single model generates a residual or prediction error like a white noise. However, mostly because of disturbances not ... Keywords: Artificial neural networks hybrid systems, Linear combination of forecasts, Maximum likelihood estimation, Time series forecasters, Unbiased forecasters

Paulo Renato A. Firmino; Paulo S. G. De Mattos Neto; Tiago A. E. Ferreira

2014-02-01T23:59:59.000Z

95

NOAA Harmful Algal Bloom Operational Forecast System Southwest Florida Forecast Region Maps  

E-Print Network [OSTI]

Bloom Operational Forecast System Southwest Florida Forecast Region Maps 0 5 102.5 Miles #12;Bay Harmful Algal Bloom Operational Forecast System Southwest Florida Forecast Region Maps 0 5 102.5 Miles #12 N Collier N Charlotte S Charlotte NOAA Harmful Algal Bloom Operational Forecast System Southwest

96

Price forecasting for notebook computers  

E-Print Network [OSTI]

This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a series of time periods, and the rates of change in the influence...

Rutherford, Derek Paul

2012-06-07T23:59:59.000Z

97

Forecasting phenology under global warming  

Science Journals Connector (OSTI)

...Forrest Forecasting phenology under global warming Ines Ibanez 1 * Richard B. Primack...and site-specific responses to global warming. We found that for most species...climate change|East Asia, global warming|growing season, hierarchical...

2010-01-01T23:59:59.000Z

98

Demand Forecasting of New Products  

E-Print Network [OSTI]

Keeping Unit or SKU) employing attribute analysis techniques. The objective of this thesis is to improve Abstract This thesis is a study into the demand forecasting of new products (also referred to as Stock

Sun, Yu

99

Insulation of Electrical Equipment  

Science Journals Connector (OSTI)

... A VACATION 'school' on the insulation of electrical equipment was held in the Electrical Engineering Department of the Imperial College of ... the universities. The purpose of the course was to consider the factors which are limiting insulation design in the main classes of electrical equipment, and the general principles which should ...

1952-12-13T23:59:59.000Z

100

Commercial equipment cost database  

SciTech Connect (OSTI)

This report, prepared for DOE, Office of Codes and Standards, as part of the Commercial Equipment Standards Program at Pacific Northwest Laboratory, specifically addresses the equipment cost estimates used to evaluate the economic impacts of revised standards. A database including commercial equipment list prices and estimated contractor costs was developed, and through statistical modeling, estimated contractor costs are related to equipment parameters including performance. These models are then used to evaluate cost estimates developed by the ASHRAE 90.1 Standing Standards Project Committee, which is in the process of developing a revised ASHRAE 90.1 standard. The database will also be used to support further evaluation of the manufacturer and consumer impacts of standards. Cost estimates developed from the database will serve as inputs to economic modeling tools, which will be used to estimate these impacts. Preliminary results suggest that list pricing is a suitable measure from which to estimate contractor costs for commercial equipment. Models developed from these cost estimates accurately predict estimated costs. The models also confirm the expected relationships between equipment characteristics and cost. Cost models were developed for gas-fired and electric water heaters, gas-fired packaged boilers, and warm air furnaces for indoor installation. Because of industry concerns about the use of the data, information was not available for the other categories of EPAct-covered equipment. These concerns must be addressed to extend the analysis to all EPAct equipment categories.

Freeman, S.L.

1995-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast year equipment" 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

An assessment of electrical load forecasting using artificial neural network  

Science Journals Connector (OSTI)

The forecasting of electricity demand has become one of the major research fields in electrical engineering. The supply industry requires forecasts with lead times, which range from the short term (a few minutes, hours, or days ahead) to the long term (up to 20 years ahead). The major priority for an electrical power utility is to provide uninterrupted power supply to its customers. Long term peak load forecasting plays an important role in electrical power systems in terms of policy planning and budget allocation. This paper presents a peak load forecasting model using artificial neural networks (ANN). The approach in the paper is based on multi-layered back-propagation feed forward neural network. For annual forecasts, there should be 10 to 12 years of historical monthly data available for each electrical system or electrical buss. A case study is performed by using the proposed method of peak load data of a state electricity board of India which maintain high quality, reliable, historical data providing the best possible results. Model's quality is directly dependent upon data integrity.

V. Shrivastava; R.B. Misra; R.C. Bansal

2012-01-01T23:59:59.000Z

102

Weather forecasting : the next generation : the potential use and implementation of ensemble forecasting  

E-Print Network [OSTI]

This thesis discusses ensemble forecasting, a promising new weather forecasting technique, from various viewpoints relating not only to its meteorological aspects but also to its user and policy aspects. Ensemble forecasting ...

Goto, Susumu

2007-01-01T23:59:59.000Z

103

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

Office of Environmental Management (EM)

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

104

Applying Bayesian Forecasting to Predict New Customers' Heating Oil Demand.  

E-Print Network [OSTI]

??This thesis presents a new forecasting technique that estimates energy demand by applying a Bayesian approach to forecasting. We introduce our Bayesian Heating Oil Forecaster… (more)

Sakauchi, Tsuginosuke

2011-01-01T23:59:59.000Z

105

RMOTC - Field Information - Equipment and Facilities  

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

Equipment & Facilities Equipment & Facilities Motor Grader at RMOTC Notice: As of July 15th 2013, the Department of Energy announced the intent to sell Naval Petroleum Reserve Number 3 (NPR3). The sale of NPR-3 will also include the sale of all equipment and materials onsite. A decision has been made by the Department of Energy to complete testing at RMOTC by July 1st, 2014. RMOTC will complete testing in the coming year with the currently scheduled testing partners. For more information on the sale of NPR-3 and sale of RMOTC equipment and materials please join our mailing list here. RMOTC's test facility has its own line of workover, support, and heavy equipment available for partner use on site. RMOTC can also offer its partners workspace on site in its Customer Operations Center which has

106

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"

107

Incidents of chemical reactions in cell equipment  

SciTech Connect (OSTI)

Strongly exothermic reactions can occur between equipment structural components and process gases under certain accident conditions in the diffusion enrichment cascades. This paper describes the conditions required for initiation of these reactions, and describes the range of such reactions experienced over nearly 50 years of equipment operation in the US uranium enrichment program. Factors are cited which can promote or limit the destructive extent of these reactions, and process operations are described which are designed to control the reactions to minimize equipment damage, downtime, and the possibility of material releases.

Baldwin, N.M.; Barlow, C.R. [Uranium Enrichment Organization, Oak Ridge, TN (United States)

1991-12-31T23:59:59.000Z

108

Alternatives Generation Analysis Long Length Contaminated Equipment Removal System Storage  

SciTech Connect (OSTI)

The long length contaminated equipment was designed and built to aid in the remote removal and transport of highly radioactive, contaminated equipment from various locations in the tank farms to disposal. The equipment has been stored in an open lay-down yard area, exposed to the elements for the past year and a half. The possible alternatives available to provide shelter for the equipment are investigated.

BOGER, R.M.

1999-08-13T23:59:59.000Z

109

A Long Term Load Forecasting of an Indian Grid for Power System Planning  

Science Journals Connector (OSTI)

A time-series load modelling and load forecasting using neuro-fuzzy techniques were presented...7]. In this method, energy data of several past years is used to ... . ANN structure of ANFIS can capture the power ...

R. Behera; B. B. Pati; B. P. Panigrahi

2014-12-01T23:59:59.000Z

110

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

Science Journals Connector (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

111

Using a Business Process Model as a Central Organizing Construct for an Undergraduate Weather Forecasting Course  

Science Journals Connector (OSTI)

For the last five years, the author has employed a business process model as a central organizing construct for the senior-level Forecasting Techniques course at Embry- Riddle Aeronautical University's Daytona Beach, Florida, campus. The process model ...

John M. Lanicci

2012-05-01T23:59:59.000Z

112

An Evaluation of Decadal Probability Forecasts from State-of-the-Art Climate Models  

Science Journals Connector (OSTI)

While state-of-the-art models of Earth's climate system have improved tremendously over the last 20 years, nontrivial structural flaws still hinder their ability to forecast the decadal dynamics of the Earth system realistically. Contrasting the ...

Emma B. Suckling; Leonard A. Smith

2013-12-01T23:59:59.000Z

113

Summary Verification Measures and Their Interpretation for Ensemble Forecasts  

Science Journals Connector (OSTI)

Ensemble prediction systems produce forecasts that represent the probability distribution of a continuous forecast variable. Most often, the verification problem is simplified by transforming the ensemble forecast into probability forecasts for ...

A. Allen Bradley; Stuart S. Schwartz

2011-09-01T23:59:59.000Z

114

Communication of uncertainty in temperature forecasts  

Science Journals Connector (OSTI)

We used experimental economics to test whether undergraduate students presented with a temperature forecast with uncertainty information in a table and bar graph format were able to use the extra information to interpret a given forecast. ...

Pricilla Marimo; Todd R. Kaplan; Ken Mylne; Martin Sharpe

115

FORECASTING THE ROLE OF RENEWABLES IN HAWAII  

E-Print Network [OSTI]

FORECASTING THE ROLE OF RENEWABLES IN HAWAII Jayant SathayeFORECASTING THE ROLF OF RENEWABLES IN HAWAII J Sa and Henrythe Conservation Role of Renewables November 18, 1980 Page 2

Sathaye, Jayant

2013-01-01T23:59:59.000Z

116

Massachusetts state airport system plan forecasts.  

E-Print Network [OSTI]

This report is a first step toward updating the forecasts contained in the 1973 Massachusetts State System Plan. It begins with a presentation of the forecasting techniques currently available; it surveys and appraises the ...

Mathaisel, Dennis F. X.

117

Forecasting Water Use in Texas Cities  

E-Print Network [OSTI]

In this research project, a methodology for automating the forecasting of municipal daily water use is developed and implemented in a microcomputer program called WATCAL. An automated forecast system is devised by modifying the previously...

Shaw, Douglas T.; Maidment, David R.

118

Equipment Insulation | Open Energy Information  

Open Energy Info (EERE)

List of Equipment Insulation Incentives Retrieved from "http:en.openei.orgwindex.php?titleEquipmentInsulation&oldid267163" Category: Articles with outstanding TODO tasks...

119

NSLS Electrical Equipment Inspection  

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

Electrical Equipment Inspection Information Electrical Equipment Inspection Information A note to vendors visiting NSLS A note to users visiting NSLS Proteus Electrical Conformity Remediation Currently Certified Electrical Equipment Inspectors: First Line Contacts Email Extension Poshka, Dennis poshka@bnl.gov 2825 Alternate Contacts Boerner Jr, Albert aboerner@bnl.gov 5990 Buda, Scott buda@bnl.gov 3914 Caruso, Michael caruso@bnl.gov 4100 Chmiel, Robert chmiel@bnl.gov 8141 Church, Randolph church@bnl.gov 2736 Clay, Barret clay@bnl.gov 7284 D'Alsace, Roy dalsace@bnl.gov 3973 Danneil, Christopher cdanneil@bnl.gov 8609 Davila, Peter davila@bnl.gov 7625 De Toll, Peter detoll@bnl.gov 4100 Durfee, Douglas ddurfee@bnl.gov 7625 Fulkerson, Michael fulkerso@bnl.gov 5194 Gallagher, John jgallagher@bnl.gov 5770 Harder, David dharder@bnl.gov 4978

120

Scientist Equipment and Outline  

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

Outline and Equipment Outline and Equipment LIGHT AND COLOR Grade levels: can be adapted for grades 2-8. Length of time: 30-45 minues. Room preference: Double classroom or all-purpose room. Equipment is located in the Lederman Science Center. Talk to Susan Dahl to borrow this set. Spectrum tube power supply, gas tubes and diffraction grating glasses Light box with red, green, and blue translucent film Power chord, extension chord Large set of lenses Small concave and convex lenses Magnetic optics kit, includes a small laser Slinky Flashlight Clear plastic tub, powdered milk Water Radiometer Electromagnetic energy spectrum poster Set of red, green and blue flood lights Where does light come from? Use a boy and a girl to make a human demonstration of molecules and atoms. Have students rub their hands together and notice friction equals heat.

Note: This page contains sample records for the topic "forecast year equipment" 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

Energy demand forecasting: industry practices and challenges  

Science Journals Connector (OSTI)

Accurate forecasting of energy demand plays a key role for utility companies, network operators, producers and suppliers of energy. Demand forecasts are utilized for unit commitment, market bidding, network operation and maintenance, integration of renewable ... Keywords: analytics, energy demand forecasting, machine learning, renewable energy sources, smart grids, smart meters

Mathieu Sinn

2014-06-01T23:59:59.000Z

122

Consensus Coal Production And Price Forecast For  

E-Print Network [OSTI]

Consensus Coal Production And Price Forecast For West Virginia: 2011 Update Prepared for the West December 2011 © Copyright 2011 WVU Research Corporation #12;#12;W.Va. Consensus Coal Forecast Update 2011 i Table of Contents Executive Summary 1 Recent Developments 3 Consensus Coal Production And Price Forecast

Mohaghegh, Shahab

123

Equipment Operational Requirements  

SciTech Connect (OSTI)

The Iraq Department of Border Enforcement is rich in personnel, but poor in equipment. An effective border control system must include detection, discrimination, decision, tracking and interdiction, capture, identification, and disposition. An equipment solution that addresses only a part of this will not succeed, likewise equipment by itself is not the answer without considering the personnel and how they would employ the equipment. The solution should take advantage of the existing in-place system and address all of the critical functions. The solutions are envisioned as being implemented in a phased manner, where Solution 1 is followed by Solution 2 and eventually by Solution 3. This allows adequate time for training and gaining operational experience for successively more complex equipment. Detailed descriptions of the components follow the solution descriptions. Solution 1 - This solution is based on changes to CONOPs, and does not have a technology component. It consists of observers at the forts and annexes, forward patrols along the swamp edge, in depth patrols approximately 10 kilometers inland from the swamp, and checkpoints on major roads. Solution 2 - This solution adds a ground sensor array to the Solution 1 system. Solution 3 - This solution is based around installing a radar/video camera system on each fort. It employs the CONOPS from Solution 1, but uses minimal ground sensors deployed only in areas with poor radar/video camera coverage (such as canals and streams shielded by vegetation), or by roads covered by radar but outside the range of the radar associated cameras. This document provides broad operational requirements for major equipment components along with sufficient operational details to allow the technical community to identify potential hardware candidates. Continuing analysis will develop quantities required and more detailed tactics, techniques, and procedures.

Greenwalt, B; Henderer, B; Hibbard, W; Mercer, M

2009-06-11T23:59:59.000Z

124

Updated Buildings Sector Appliance and Equipment Costs and Efficiency  

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

Updated Buildings Sector Updated Buildings Sector Appliance and Equipment Costs and Efficiency August 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Buildings Appliance and Equipment Costs and Efficiency i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the U.S. Department of Energy or other Federal agencies. June 2013 U.S. Energy Information Administration | Buildings Appliance and Equipment Costs and Efficiency 1

125

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

126

Load Forecasting of Supermarket Refrigeration  

E-Print Network [OSTI]

energy system. Observed refrigeration load and local ambient temperature from a Danish su- permarket renewable energy, is increasing, therefore a flexible energy system is needed. In the present ThesisLoad Forecasting of Supermarket Refrigeration Lisa Buth Rasmussen Kongens Lyngby 2013 M.Sc.-2013

127

Essays on macroeconomics and forecasting  

E-Print Network [OSTI]

explanatory variables. Compared to Stock and Watson (2002)�s models, the models proposed in this chapter can further allow me to select the factors structurally for each variable to be forecasted. I find advantages to using the structural dynamic factor...

Liu, Dandan

2006-10-30T23:59:59.000Z

128

Forecasting-based SKU classification  

Science Journals Connector (OSTI)

Different spare parts are associated with different underlying demand patterns, which in turn require different forecasting methods. Consequently, there is a need to categorise stock keeping units (SKUs) and apply the most appropriate methods in each category. For intermittent demands, Croston's method (CRO) is currently regarded as the standard method used in industry to forecast the relevant inventory requirements; this is despite the bias associated with Croston's estimates. A bias adjusted modification to CRO (Syntetos–Boylan Approximation, SBA) has been shown in a number of empirical studies to perform very well and be associated with a very ‘robust’ behaviour. In a 2005 article, entitled ‘On the categorisation of demand patterns’ published by the Journal of the Operational Research Society, Syntetos et al. (2005) suggested a categorisation scheme, which establishes regions of superior forecasting performance between CRO and SBA. The results led to the development of an approximate rule that is expressed in terms of fixed cut-off values for the following two classification criteria: the squared coefficient of variation of the demand sizes and the average inter-demand interval. Kostenko and Hyndman (2006) revisited this issue and suggested an alternative scheme to distinguish between CRO and SBA in order to improve overall forecasting accuracy. Claims were made in terms of the superiority of the proposed approach to the original solution but this issue has never been assessed empirically. This constitutes the main objective of our work. In this paper the above discussed classification solutions are compared by means of experimentation on more than 10,000 \\{SKUs\\} from three different industries. The results enable insights to be gained into the comparative benefits of these approaches. The trade-offs between forecast accuracy and other implementation related considerations are also addressed.

G. Heinecke; A.A. Syntetos; W. Wang

2013-01-01T23:59:59.000Z

129

Emergency Facilities and Equipment  

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

This volume clarifies requirements of DOE O 151.1 to ensure that emergency facilities and equipment are considered as part of emergency management program and that activities conducted at these emergency facilities are fully integrated. Canceled by DOE G 151.1-4.

1997-08-21T23:59:59.000Z

130

Equipment for ?-Radiography  

Science Journals Connector (OSTI)

... felt for a well-designed protective carrier and exposure unit for use with radium or radon. The announcement that Johnson Matthey and Co., Ltd., are manufacturing protective equipment ... will assist the industrial radiologist to take advantage of the improved supplies of radium and radon which are now available (Nature, June 4, 1949, p. 867). ...

1949-09-10T23:59:59.000Z

131

The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations – the Northern Study Area.  

SciTech Connect (OSTI)

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

Finley, Cathy [WindLogics

2014-04-30T23:59:59.000Z

132

Appliances and Commercial Equipment Standards  

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

Certain Lamps Exempted from General Service Incandescent Lamp Standards Certain Lamps Exempted from General Service Incandescent Lamp Standards Sign up for e-mail updates on regulations for this and other products The information on this page pertains to the Department of Energy's (DOE) analysis of and unit sales forecast for five lamp types, which was mandated by the Energy Independence and Security Act of 2007 (EISA 2007). Among the requirements of subtitle B of title III of EISA 2007 were provisions directing DOE to evaluate and publish within 1 year a benchmark unit sales estimate for five types of incandescent lamps (rough service lamps, vibration service lamps, 3-way incandescent lamps, 2,601-3,300 lumen general service incandescent lamps, and shatter-resistant lamps). These lamp types were not made subject to the regulatory standards for general service incandescent lamps established by EISA 2007. Among the requirements of subtitle B of title III of EISA 2007 were provisions directing DOE to collect, analyze, and monitor unit sales of these five lamp types.

133

field_equipment.indd  

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

EQUIPMENT INVENTORY EQUIPMENT INVENTORY Trucks * Five vac/pressure trucks, 60-90 bbl, up to 5 bpm at 5,000 lb. * Water/fi re truck, 110 bbl * Two dump trucks: 5-yard and 12-yard * Belly dump trailer * Chemical injection truck, 20 bbl capacity * Three crane trucks: 6,000 lb., 8,000 lb., and 30 ton * Klaeger swab truck * Rig-up truck with 21-foot poles, 30,000-lb. capacity * Winch truck, 40,000-lb. capacity * Two bucket trucks: 25-foot and 28-foot reach * Two welding trucks with Miller Trailblazer welder * Two Ditch Witches: 8" x 7' and 6" x 3" * International PayStar 5000 transport truck * Western Star transport truck Backhoes & Loaders * John Deere 410G backhoe * Cat 420 backhoe * Case 20W loader with 2-yard bucket * Bobcat skid loader with bucket, forks, post hole digger, and trencher attachments

134

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

135

Solar and Wind Equipment Certification | Department of Energy  

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

Solar and Wind Equipment Certification Solar and Wind Equipment Certification Solar and Wind Equipment Certification < Back Eligibility Commercial Construction Industrial Installer/Contractor Residential Savings Category Home Weatherization Commercial Weatherization Solar Lighting Windows, Doors, & Skylights Heating & Cooling Commercial Heating & Cooling Heating Buying & Making Electricity Water Heating Wind Program Info State Arizona Program Type Equipment Certification Provider Arizona Solar Energy Industries Association Collectors, heat exchangers and storage units of solar energy systems -- and the installation of these systems -- sold or installed in Arizona must have a warranty of at least two years. The remaining components of the system and their installation must have a warranty of at least one year.

136

Forecasting wind speed financial return  

E-Print Network [OSTI]

The prediction of wind speed is very important when dealing with the production of energy through wind turbines. In this paper, we show a new nonparametric model, based on semi-Markov chains, to predict wind speed. Particularly we use an indexed semi-Markov model that has been shown to be able to reproduce accurately the statistical behavior of wind speed. The model is used to forecast, one step ahead, wind speed. In order to check the validity of the model we show, as indicator of goodness, the root mean square error and mean absolute error between real data and predicted ones. We also compare our forecasting results with those of a persistence model. At last, we show an application of the model to predict financial indicators like the Internal Rate of Return, Duration and Convexity.

D'Amico, Guglielmo; Prattico, Flavio

2013-01-01T23:59:59.000Z

137

Equipment Certification | Open Energy Information  

Open Energy Info (EERE)

Equipment Certification Equipment Certification Jump to: navigation, search Policies requiring renewable energy equipment to meet certain standards serve to protect consumers from buying inferior equipment. These requirements not only benefit consumers; they also protect the renewable energy industry by making it more difficult for substandard systems to reach the market. [1] Equipment Certification Incentives CSV (rows 1 - 19) Incentive Incentive Type Place Applicable Sector Eligible Technologies Active Canada Oil and Gas Operations Act (Canada) Environmental Regulations Equipment Certification Fees Generating Facility Rate-Making Generation Disclosure Industry Recruitment/Support Safety and Operational Guidelines Siting and Permitting Canada Commercial Construction Developer

138

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

SciTech Connect (OSTI)

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

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

2014-04-30T23:59:59.000Z

139

Weather Forecast Data an Important Input into Building Management Systems  

E-Print Network [OSTI]

Lewis Poulin Implementation and Operational Services Section Canadian Meteorological Centre, Dorval, Qc National Prediction Operations Division ICEBO 2013, Montreal, Qc October 10 2013 Version 2013-09-27 Weather Forecast Data An Important... and weather information ? Numerical weather forecast production 101 ? From deterministic to probabilistic forecasts ? Some MSC weather forecast (NWP) datasets ? Finding the appropriate data for the appropriate forecast ? Preparing for probabilistic...

Poulin, L.

2013-01-01T23:59:59.000Z

140

BMA Probabilistic Quantitative Precipitation Forecasting over the Huaihe Basin Using TIGGE Multimodel Ensemble Forecasts  

Science Journals Connector (OSTI)

Bayesian model averaging (BMA) probability quantitative precipitation forecast (PQPF) models were established by calibrating their parameters using 1–7-day ensemble forecasts of 24-h accumulated precipitation, and observations from 43 ...

Jianguo Liu; Zhenghui Xie

2014-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast year equipment" 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

Calibrated Precipitation Forecasts for a Limited-Area Ensemble Forecast System Using Reforecasts  

Science Journals Connector (OSTI)

The calibration of numerical weather forecasts using reforecasts has been shown to increase the skill of weather predictions. Here, the precipitation forecasts from the Consortium for Small Scale Modeling Limited Area Ensemble Prediction System (...

Felix Fundel; Andre Walser; Mark A. Liniger; Christoph Frei; Christof Appenzeller

2010-01-01T23:59:59.000Z

142

Early Equipment Management  

E-Print Network [OSTI]

starting with the ones that could cause the most human harm. This is also an excellent time to discuss all the lockout/tagout points on the machine, determine how much safety training is necessary and if there are enough warning stickers. The idea... needed. One-point lessons should be completed on all inspection, lubrication, and lockout/tagout points. Equipment labels should be created at this time including lockout/tagout and predetermined set-points. The key to a successful EEM program...

Schlie, Michelle

2007-05-18T23:59:59.000Z

143

China production equipment sourcing strategy  

E-Print Network [OSTI]

This thesis recommends a China business and equipment strategy for the Controls Conveyor Robotics Welding (CCRW) group at General Motors. The current strategy is to use globally common equipment through predetermined global ...

Chouinard, Natalie, 1979-

2009-01-01T23:59:59.000Z

144

Funding Opportunity Announcement for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

to improved forecasts, system operators and industry professionals can ensure that wind turbines will operate at their maximum potential. Data collected during this field...

145

Upcoming Funding Opportunity for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

to improved forecasts, system operators and industry professionals can ensure that wind turbines will operate at their maximum potential. Data collected during this field...

146

IAEA safeguards equipment  

Science Journals Connector (OSTI)

The International Atomic Energy Agency (IAEA) operates a large diversity of equipment to verify nuclear materials, contributing to the confirmation of the states' compliance with their respective nonproliferation obligations. The variety of physical and chemical properties of nuclear materials, as well as their storage environment, requires an arsenal of instruments. Additionally, the IAEA applies various containment and surveillance measures to maintain the continuity of knowledge on nuclear materials. The IAEA need ongoing equipment development to provide its inspectorate with the state-of-the-art tools for performing various safeguards activities. These activities include the measurement of declared nuclear material inventories and flows, the application of enhanced containment and surveillance measures and the search for the indicators of undeclared nuclear material and clandestine nuclear activities. The IAEA is facing increasing demands to perform remote verification of nuclear material flows utilising unattended monitoring systems. Additional analytical capabilities and effective non-destructive assay methods will be indispensable in the future for reinforcing the IAEA's ability to detect undeclared nuclear materials and activities.

M. Zendel

2008-01-01T23:59:59.000Z

147

NOAA GREAT LAKES COASTAL FORECASTING SYSTEM Forecasts (up to 5 days in the future)  

E-Print Network [OSTI]

conditions for up to 5 days in the future. These forecasts are run twice daily, and you can step through are generated every 6 hours and you can step backward in hourly increments to view conditions over the previousNOAA GREAT LAKES COASTAL FORECASTING SYSTEM Forecasts (up to 5 days in the future) and Nowcasts

148

Coal operators prepare for a prosperous new year  

SciTech Connect (OSTI)

Results are given of the Coal Age 2008 annual Forecast Survey of 17 coal mining executives which reinforces that 2008 could be a very good year. Coal operators are planning to invest in new equipment, development and new coal mine start-ups, based on a number of demand- and supply-side fundamentals. 71% of those surveyed thought coal production in 2008 would increase from 2007 levels and US exports are expected to climb due to the weak dollar. If the tax credit on synfuels expires on 31 December 2007 production of coal synfuel will likely cease. Asked about expensive planned purchases, companies answers ranged from $80,000 for an underground scoop to $500 m for a new mine installation. However, most producers admit they will not be able to operate at full capacity. 7 figs.

Fiscor, S.

2008-01-15T23:59:59.000Z

149

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

150

Optimal combined wind power forecasts using exogeneous variables  

E-Print Network [OSTI]

Optimal combined wind power forecasts using exogeneous variables Fannar ¨Orn Thordarson Kongens of the thesis is combined wind power forecasts using informations from meteorological forecasts. Lyngby, January

151

Ensemble typhoon quantitative precipitation forecasts model in Taiwan  

Science Journals Connector (OSTI)

In this study, an ensemble typhoon quantitative precipitation forecast (ETQPF) model was developed to provide typhoon rainfall forecasts for Taiwan. The ETQPF rainfall forecast is obtained by averaging the pick-out cases, which are screened at a ...

Jing-Shan Hong; Chin-Tzu Fong; Ling-Feng Hsiao; Yi-Chiang Yu; Chian-You Tzeng

152

About the Appliance and Equipment Standards Program | Department of Energy  

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

About the Appliance and About the Appliance and Equipment Standards Program About the Appliance and Equipment Standards Program The Department of Energy (DOE) and the Buildings Technologies Office sets minimum energy efficiency standards for approximately 50 categories of appliances and equipment used in homes, businesses, and other applications, as required by existing law. The appliances and equipment covered provide services that are used by consumers and businesses each day, such as space heating and cooling, refrigeration, cooking, clothes washing and drying, and lighting. DOE's minimum efficiency standards significantly reduce U.S. energy demand, lower emissions of greenhouse gases and other pollutants, and save consumers billions of dollars every year, without lessening the

153

New Concepts in Wind Power Forecasting Models  

E-Print Network [OSTI]

New Concepts in Wind Power Forecasting Models Vladimiro Miranda, Ricardo Bessa, João Gama, Guenter to the training of mappers such as neural networks to perform wind power prediction as a function of wind for more accurate short term wind power forecasting models has led to solid and impressive development

Kemner, Ken

154

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network [OSTI]

. (2004) this forecast error was encountered when assimilating satellite measurements of zonal wind speeds between satellite measurements and meteorological forecasts of near-surface ocean winds. This type of covariance enters in assimilation techniques such as Kalman filtering. In all, six residual fields

Malmberg, Anders

155

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network [OSTI]

. (2004) this forecast error was encountered when assimilating satellite measurements of zonal wind speeds between satellite measurements and meteorological forecasts of near­surface ocean winds. This type of covariance enters in assimilation techniques such as Kalman filtering. In all, six residual fields

Malmberg, Anders

156

PROBLEMS OF FORECAST1 Dmitry KUCHARAVY  

E-Print Network [OSTI]

: Technology Forecast, Laws of Technical systems evolution, Analysis of Contradictions. 1. Introduction Let us: If technology forecasting practice remains at the present level, it is necessary to significantly improve to new demands (like Green House Gases - GHG Effect reduction or covering exploded nuclear reactor

Paris-Sud XI, Université de

157

Amending Numerical Weather Prediction forecasts using GPS  

E-Print Network [OSTI]

. Satellite images and Numerical Weather Prediction (NWP) models are used together with the synoptic surfaceAmending Numerical Weather Prediction forecasts using GPS Integrated Water Vapour: a case study to validate the amounts of humidity in Numerical Weather Prediction (NWP) model forecasts. This paper presents

Stoffelen, Ad

158

A Forecasting Support System Based on Exponential Smoothing  

Science Journals Connector (OSTI)

This chapter presents a forecasting support system based on the exponential smoothing scheme to forecast time-series data. Exponential smoothing methods are simple to apply, which facilitates...

Ana Corberán-Vallet; José D. Bermúdez; José V. Segura…

2010-01-01T23:59:59.000Z

159

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

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

principal investigator for the project. For wind power point forecasting, ARGUS PRIMA trains a neural network using data from weather forecasts, observations, and actual wind...

160

Improved Prediction of Runway Usage for Noise Forecast :.  

E-Print Network [OSTI]

??The research deals with improved prediction of runway usage for noise forecast. Since the accuracy of the noise forecast depends on the robustness of runway… (more)

Dhanasekaran, D.

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast year equipment" 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

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

Energy Savers [EERE]

Improvement Project (WFIP): A PublicPrivate Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations The Wind Forecast...

162

PBL FY 2002 Third Quarter Review Forecast of Generation Accumulated...  

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

Power Business Line Generation Accumulated Net Revenues Forecast for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) FY 2002 Third Quarter Review Forecast in Millions...

163

Measured Peak Equipment Loads in Laboratories  

E-Print Network [OSTI]

of measured equipment load data for laboratories, designersmeasured peak equipment load data from 39 laboratory spacesmeasured equipment load data from various laboratory spaces

Mathew, Paul A.

2008-01-01T23:59:59.000Z

164

Electrical Equipment Inventory and Inspection Information  

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

Electrical Equipment Inventory and Inspection Information APS Non-NRTL Electrical Equipment Inventory Spreadsheet ANL Recognized Reputable Electrical Equipment Manufacturer List as...

165

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

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

1994-02-01T23:59:59.000Z

166

Information technology equipment cooling system  

SciTech Connect (OSTI)

According to one embodiment, a system for removing heat from a rack of information technology equipment may include a sidecar indoor air to liquid heat exchanger that cools warm air generated by the rack of information technology equipment. The system may also include a liquid to liquid heat exchanger and an outdoor heat exchanger. The system may further include configurable pathways to connect and control fluid flow through the sidecar heat exchanger, the liquid to liquid heat exchanger, the rack of information technology equipment, and the outdoor heat exchanger based upon ambient temperature and/or ambient humidity to remove heat from the rack of information technology equipment.

Schultz, Mark D.

2014-06-10T23:59:59.000Z

167

INL '@work' heavy equipment mechanic  

ScienceCinema (OSTI)

INL's Cad Christensen is a heavy equipment mechanic. For more information about INL careers, visit http://www.facebook.com/idahonationallaboratory.

Christensen, Cad

2013-05-28T23:59:59.000Z

168

Commercial Kitchen & Food Service Equipment  

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

Residential Commercial Commercial Industrial Lighting Energy Smart Grocer Program HVAC Program Shell Measures Commercial Kitchen & Food Service Equipment Plug Load New...

169

Commercial Cooking Equipment | Open Energy Information  

Open Energy Info (EERE)

Cooking Equipment Incentives Retrieved from "http:en.openei.orgwindex.php?titleCommercialCookingEquipment&oldid38063...

170

Food Service Equipment | Open Energy Information  

Open Energy Info (EERE)

Service Equipment Incentives Retrieved from "http:en.openei.orgwindex.php?titleFoodServiceEquipment&oldid380620...

171

Development of short-term forecast quality for new offshore wind farms  

Science Journals Connector (OSTI)

As the rapid wind power build-out continues, a large number of new wind farms will come online but forecasters and forecasting algorithms have little experience with them. This is a problem for statistical short term forecasts, which must be trained on a long record of historical power production – exactly what is missing for a new farm. Focus of the study was to analyse development of the offshore wind power forecast (WPF) quality from beginning of operation up to one year of operational experience. This paper represents a case study using data of the first German offshore wind farm "alpha ventus" and first German commercial offshore wind farm "Baltic1". The work was carried out with measured data from meteorological measurement mast FINO1, measured power from wind farms and numerical weather prediction (NWP) from the German Weather Service (DWD). This study facilitates to decide the length of needed time series and selection of forecast method to get a reliable WPF on a weekly time axis. Weekly development of WPF quality for day-ahead WPF via different models is presented. The models are physical model; physical model extended with a statistical correction (MOS) and artificial neural network (ANN) as a pure statistical model. Selforganizing map (SOM) is investigated for a better understanding of uncertainties of forecast error.

M Kurt; B Lange

2014-01-01T23:59:59.000Z

172

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 EIAÂ’s view on energy prices, demand, and production.

173

Status of the space-cooling-equipment market in the commercial sector. Topical report, November 1985-March 1986  

SciTech Connect (OSTI)

The report covers the cooling equipment market for commercial applications as characterized by a data base on shipments (with adjustment for U.S. exports and foreign imports), highlighting activities in the absorption chiller market, and predicting scenarios for future equipment shipments. An analysis of unitary air-conditioning equipment and commercial liquid chillers was performed to determine the population of domesticaly shipped equipment by type and capacity. A review of absorption liquid chiller marketing was performed to identify marketing techniques used to enhance absorption liquid chiller sales and to determine decision-making criteria used to evaluate replacement of existing equipment with absorption liquid chillers. Finally, cooling-market projections were made to forecast the future sales trends of commercial air-conditioning equipment.

Harris, L.; Katsenelenbogen, S.; Bernstein, H.; Bluestein, J.

1986-04-01T23:59:59.000Z

174

A lessee's guide to leasing industrial equipment  

E-Print Network [OSTI]

Costing $10, 000 with 10- Year Depreciation Term and no Scrap Value Comparison of Five Methods of Acquiring Equipment Valued at $100, 000 with a Usable Life of 10 Years and no Scrap Value 10 III. Projected Earnings on Capital Freed by Leasing 13 IV... this tax saving results in the loss of one advantage of leasing. If, in the projection of the tax savings, it is found that the tax saving is inunaterial to the lessee, then it is quite possible that leasing will prove undesirable. But to those whose...

Johnson, Jones Eugene

1959-01-01T23:59:59.000Z

175

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

SciTech Connect (OSTI)

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

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

2013-10-01T23:59:59.000Z

176

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network [OSTI]

PSO (FU 2101) Ensemble-forecasts for wind power Analysis of the Results of an On-line Wind Power Ensemble- forecasts for wind power (FU2101) a demo-application producing quantile forecasts of wind power correct) quantile forecasts of the wind power production are generated by the application. However

177

Forecasting Uncertainty Related to Ramps of Wind Power Production  

E-Print Network [OSTI]

Forecasting Uncertainty Related to Ramps of Wind Power Production Arthur Bossavy, Robin Girard - The continuous improvement of the accuracy of wind power forecasts is motivated by the increasing wind power study. Key words : wind power forecast, ramps, phase er- rors, forecasts ensemble. 1 Introduction Most

Boyer, Edmond

178

The effect of multinationality on management earnings forecasts  

E-Print Network [OSTI]

and number of countries withforeign subsidiaries) are significantly positively related to more optimistic management earnings forecasts....

Runyan, Bruce Wayne

2005-08-29T23:59:59.000Z

179

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

SciTech Connect (OSTI)

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

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

2011-10-01T23:59:59.000Z

180

IEEE Trans. on Components and Packaging Technologies, Dec. 2000, pp. 707-717 1 Electronic Part Life Cycle Concepts and Obsolescence Forecasting  

E-Print Network [OSTI]

Cycle Concepts and Obsolescence Forecasting Rajeev Solomon, Peter Sandborn, and Michael Pecht Abstract ­ Obsolescence of electronic parts is a major contributor to the life cycle cost of long- field life systems such as avionics. A methodology to forecast life cycles of electronic parts is presented, in which both years

Sandborn, Peter

Note: This page contains sample records for the topic "forecast year equipment" 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

Efficiency improvements in US Office equipment: Expected policy impacts and uncertainties  

SciTech Connect (OSTI)

This report describes a detailed end-use forecast of office equipment energy use for the US commercial sector. We explore the likely impacts of the US Environmental Protection Agency`s ENERGY STAR office equipment program and the potential impacts of advanced technologies. The ENERGY STAR program encourages manufacturers to voluntarily incorporate power saving features into personal computers, monitors, printers, copiers, and fax machines in exchange for allowing manufacturers to use the EPA ENERGY STAR logo in their advertising campaigns. The Advanced technology case assumes that the most energy efficient current technologies are implemented regardless of cost.

Koomey, J.G.; Cramer, M.; Piette, M.A.; Eto, J.H.

1995-12-01T23:59:59.000Z

182

Advanced Numerical Weather Prediction Techniques for Solar Irradiance Forecasting : : Statistical, Data-Assimilation, and Ensemble Forecasting  

E-Print Network [OSTI]

J.B. , 2004: Probabilistic wind power forecasts using localforecast intervals for wind power output using NWP-predictedsources such as wind and solar power. Integration of this

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

183

Advanced Numerical Weather Prediction Techniques for Solar Irradiance Forecasting : : Statistical, Data-Assimilation, and Ensemble Forecasting  

E-Print Network [OSTI]

United States California Solar Initiative Coastally Trappedparticipants in the California Solar Initiative (CSI)on location. In California, solar irradiance forecasts near

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

184

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

Reports and Publications (EIA)

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

1998-01-01T23:59:59.000Z

185

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

186

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

187

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

188

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

189

Wind Speed Forecasting for Power System Operation  

E-Print Network [OSTI]

In order to support large-scale integration of wind power into current electric energy system, accurate wind speed forecasting is essential, because the high variation and limited predictability of wind pose profound challenges to the power system...

Zhu, Xinxin

2013-07-22T23:59:59.000Z

190

Evaluation of hierarchical forecasting for substitutable products  

Science Journals Connector (OSTI)

This paper addresses hierarchical forecasting in a production planning environment. Specifically, we examine the relative effectiveness of Top-Down (TD) and Bottom-Up (BU) strategies for forecasting the demand for a substitutable product (which belongs to a family) as well as the demand for the product family under different types of family demand processes. Through a simulation study, it is revealed that the TD strategy consistently outperforms the BU strategy for forecasting product family demand. The relative superiority of the TD strategy further improves by as much as 52% as the product demand variability increases and the degree of substitutability between the products decreases. This phenomenon, however, is not always true for forecasting the demand for the products within the family. In this case, it is found that there are a few situations wherein the BU strategy marginally outperforms the TD strategy, especially when the product demand variability is high and the degree of product substitutability is low.

S. Viswanathan; Handik Widiarta; R. Piplani

2008-01-01T23:59:59.000Z

191

Testing Competing High-Resolution Precipitation Forecasts  

E-Print Network [OSTI]

Testing Competing High-Resolution Precipitation Forecasts Eric Gilleland Research Prediction Comparison Test D1 D2 D = D1 ­ D2 copyright NCAR 2013 Loss Differential Field #12;Spatial Prediction Comparison Test Introduced by Hering and Genton

Gilleland, Eric

192

Forecasting Agriculturally Driven Global Environmental Change  

Science Journals Connector (OSTI)

...of each variable on GDP (13, 17), combined with global GDP projections (14...population, and per capita GDP, combined with projected...measure of agricultural demand for water, is forecast...Just as demand for energy is the major cause...

David Tilman; Joseph Fargione; Brian Wolff; Carla D'Antonio; Andrew Dobson; Robert Howarth; David Schindler; William H. Schlesinger; Daniel Simberloff; Deborah Swackhamer

2001-04-13T23:59:59.000Z

193

Medium- and Long-Range Forecasting  

Science Journals Connector (OSTI)

In contrast to short and extended range forecasts, predictions for periods beyond 5 days use time-averaged, midtropospheric height fields as their primary guidance. As time ranges are increased to 3O- and 90-day outlooks, guidance increasingly ...

A. James Wagner

1989-09-01T23:59:59.000Z

194

Updated Satellite Technique to Forecast Heavy Snow  

Science Journals Connector (OSTI)

Certain satellite interpretation techniques have proven quite useful in the heavy snow forecast process. Those considered best are briefly reviewed, and another technique is introduced. This new technique was found to be most valuable in cyclonic ...

Edward C. Johnston

1995-06-01T23:59:59.000Z

195

Analysis of PG&E`s residential end-use metered data to improve electricity demand forecasts -- final report  

SciTech Connect (OSTI)

This report summarizes findings from a unique project to improve the end-use electricity load shape and peak demand forecasts made by the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). First, the direct incorporation of end-use metered data into electricity demand forecasting models is a new approach that has only been made possible by recent end-use metering projects. Second, and perhaps more importantly, the joint-sponsorship of this analysis has led to the development of consistent sets of forecasting model inputs. That is, the ability to use a common data base and similar data treatment conventions for some of the forecasting inputs frees forecasters to concentrate on those differences (between their competing forecasts) that stem from real differences of opinion, rather than differences that can be readily resolved with better data. The focus of the analysis is residential space cooling, which represents a large and growing demand in the PG&E service territory. Using five years of end-use metered, central air conditioner data collected by PG&E from over 300 residences, we developed consistent sets of new inputs for both PG&E`s and CEC`s end-use load shape forecasting models. We compared the performance of the new inputs both to the inputs previously used by PG&E and CEC, and to a second set of new inputs developed to take advantage of a recently added modeling option to the forecasting model. The testing criteria included ability to forecast total daily energy use, daily peak demand, and demand at 4 P.M. (the most frequent hour of PG&E`s system peak demand). We also tested the new inputs with the weather data used by PG&E and CEC in preparing their forecasts.

Eto, J.H.; Moezzi, M.M.

1993-12-01T23:59:59.000Z

196

Forecasting energy markets using support vector machines  

Science Journals Connector (OSTI)

Abstract In this paper we investigate the efficiency of a support vector machine (SVM)-based forecasting model for the next-day directional change of electricity prices. We first adjust the best autoregressive SVM model and then we enhance it with various related variables. The system is tested on the daily Phelix index of the German and Austrian control area of the European Energy Exchange (???) wholesale electricity market. The forecast accuracy we achieved is 76.12% over a 200 day period.

Theophilos Papadimitriou; Periklis Gogas; Efthimios Stathakis

2014-01-01T23:59:59.000Z

197

Commonwealth's Master Equipment Leasing Program | Department of Energy  

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

Commonwealth's Master Equipment Leasing Program Commonwealth&#039;s Master Equipment Leasing Program Commonwealth's Master Equipment Leasing Program < Back Eligibility Institutional State Government Program Info State Virginia Program Type Leasing Program Provider Virginia Department of the Treasury The [http://www.trs.virginia.gov/debt/MELP%20Guides.aspx Master Equipment Leasing Program] (MELP) ensures that all Commonwealth agencies, authorities and institutions obtain consistent and competitive credit terms for financing equipment and energy efficiency projects. Agencies can finance energy projects at a minimum of $10,000 and can make repayments over 3, 5, 7 and 10 year terms. '''Qualifying Energy Projects''' Energy efficiency projects may include personal property, the installation or modification of an installation in a building, professional management,

198

TRANSPORT AND EMPLACEMENT EQUIPMENT DESCRIPTIONS  

SciTech Connect (OSTI)

The objective and the scope of this document are to list and briefly describe the major mobile equipment necessary for waste package (WP) Transport and Emplacement in the proposed subsurface nuclear waste repository at Yucca Mountain. Primary performance characteristics and some specialized design features of the equipment are explained and summarized in the individual subsections of this document. The Transport and Emplacement equipment described in this document consists of the following: (1) WP Transporter; (2) Reusable Rail Car; (3) Emplacement Gantry; (4) Gantry Carrier; and (5) Transport Locomotive.

NA

1997-09-29T23:59:59.000Z

199

Laboratory Equipment Donation Program - Guidelines  

Office of Scientific and Technical Information (OSTI)

The United States Department of Energy, in accordance with its The United States Department of Energy, in accordance with its responsibility to encourage research and development in the energy area, awards grants of used energy-related laboratory equipment. Universities, colleges and other non-profit educational institutions of higher learning in the United States are eligible to apply for equipment to use in energy-oriented educational programs in the life, physical, and environmental sciences, and in engineering. The equipment listed in this database is available for grant; however, specific items may be recalled for DOE use and become unavailable through the program. Frequently Asked Questions Who is eligible to apply for equipment? Any non-profit, educational institution of higher learning, such as a middle school, high school, university, college, junior college, technical

200

Appliances and Commercial Equipment Standards  

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

Single Package Vertical Air Conditioners and Heat Pumps Single Package Vertical Air Conditioners and Heat Pumps Sign up for e-mail updates on regulations for this and other products Manufacturers have been required to comply with the Department of Energy's energy conservation standards for single package vertical air conditioners and heat pumps as a separate equipment class since 2008. Before 2010, this equipment was regulated under the broader scope of commercial air conditioning and heating equipment. Single package vertical air conditioners and heat pumps are commercial air conditioning and heating equipment with its main components arranged in a vertical fashion. They are mainly used in modular classrooms, modular office buildings, telecom shelters, and hotels, and are typically installed on the outside of an exterior wall or in a closet against an exterior wall but inside the building.

Note: This page contains sample records for the topic "forecast year equipment" 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

LANSCE | Lujan Center | Ancillary Equipment  

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

Ancillary Equipment Ancillary Equipment For general questions, please contact the Lujan Center Sample Environments responsible: Victor Fanelli | vfanelli@lanl.gov | 505.667.8755 Sample and Equipment Shipping Instructions For questions regarding shipping procedures, contact Lujan Center Experiment Coordinator: Leilani Conradson | leilani@lanl.gov | 505.665.9505 Low Temperature Equipment Specifications Flight Path/Instrument Compatibility Responsible Displex closed-cycle refrigerators Tmin= 4 K to 12 K Tmax= 300 K to 340 K 11 - Asterix 04 - HIPPO 03 - HIPD 10 - LQD 02 - SMARTS Victor Fanelli vfanelli@lanl.gov Or particular instrument scientist Top loading closed-cycle refrigerator T = 10 K to 500 K option of in situ gas adsorption cell 07 - FDS Luke Daemon lld@lanl.gov Monika Hartl hartl@lanl.gov

202

Equipment Inventory | Sample Preparation Laboratories  

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

Resources Title Equipment Type Facility Laboratory Building Room Accumet Basic AB15 pH meter pH Meter SSRL BioChemMat Prep Lab 2 131 209 Agate Mortar & Pestle Sets Agilent 8453...

203

Earth-Fault Relay Equipment  

Science Journals Connector (OSTI)

... proving the reliability of the equipment. By Observing the operation of the relays at each substation with faults at selected points, the complete scheme can be put into operation with ...

1944-04-15T23:59:59.000Z

204

Bulk Hauling Equipment for CHG  

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

load of CHG Semitrailer Mass Trailer or ModuleChassis Module Mass Hydrogen Gas Mass CAPITAL EXPENDITURE FOR BULK HAULING EQUIPMENT For large consumption, total CapEx for...

205

Certified APS Electrical Equipment Inspectors  

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

APS Designated Electrical Equipment Inspectors : Division Phone Page e-mail Jonathan Baldwin XSD 2-6977 4-6977 jbaldwin@aps.anl.gov Adam Brill ASD 2-9968 4-4559 abrill@aps.anl.gov...

206

Appliances and Commercial Equipment Standards  

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

Direct Heating Equipment and Pool Heaters Active Mode Test Procedures Direct Heating Equipment and Pool Heaters Active Mode Test Procedures Sign up for e-mail updates on regulations for this and other products The Department of Energy (DOE) is proposing to amend the active mode test procedures for direct heating equipment and pool heaters. This rulemaking is mandated by the Energy Policy and Conservation Act (EPCA). Recent Updates | Public Meeting Information | Submitting Public Comments | Milestones and Documents | Related Rulemakings | Statutory Authority | Contact Information Recent Updates DOE published a notice of proposed rulemaking regarding active mode test procedures for direct heating equipment and pool heaters. 78 FR 63410 (October 24, 2013). The comment deadline is January 7, 2014. Public Meeting Information

207

Tax Credit for Renewable Energy Equipment Manufacturers | Department of  

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

Tax Credit for Renewable Energy Equipment Manufacturers Tax Credit for Renewable Energy Equipment Manufacturers Tax Credit for Renewable Energy Equipment Manufacturers < Back Eligibility Commercial Industrial Savings Category Bioenergy Solar Buying & Making Electricity Home Weatherization Water Heating & Cooling Swimming Pool Heaters Water Heating Commercial Heating & Cooling Heating Wind Maximum Rebate $20 million Program Info Expiration Date 1/1/2014 State Oregon Program Type Industry Recruitment/Support Rebate Amount 50% of eligible costs (10% per year for 5 years) Provider Oregon Business Development Department The Tax Credit for Renewable Energy Resource Equipment Manufacturing Facilities was enacted as a part of Oregon's Business Energy Tax Credit (BETC) in July 2007, with the passage of [http://www.leg.state.or.us/07reg/measpdf/hb3200.dir/hb3201.en.pdf HB

208

News From the D.C. Office: Efficient Office Equipment  

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

3 Aerial view of Washington D.C. 3 Aerial view of Washington D.C. News From the D.C. Office Efficient Office Equipment: Update and a Look Ahead An extended version of this article is available here. We are now well aware of the large amount of energy consumed by "plug-in loads" such as personal computers (PCs) and other office electronics. Office equipment is often cited as the fastest-growing end-use of electricity in the fastest-growing sector of demand (commercial buildings). According to Dataquest figures, world growth of PCs will average 14 to 15 percent per year through 1999. Only ten years ago, office equipment was not even part of the "map" of non-residential energy end-uses. There were virtually no data on office equipment energy use, nor an awareness of the

209

Forecasting aggregate time series with intermittent subaggregate components: top-down versus bottom-up forecasting  

Science Journals Connector (OSTI)

......optimum value through a grid-search algorithm...method outperformed TD for estimating the aggregate data series...variable, there is no benefit of forecasting each subaggregate...forecasting strategies in estimating the `component'-level...WILLEMAIN, T. R., SMART, C. N., SHOCKOR......

S. Viswanathan; Handik Widiarta; Rajesh Piplani

2008-07-01T23:59:59.000Z

210

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

SciTech Connect (OSTI)

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

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

2014-05-01T23:59:59.000Z

211

On Bayesian forecasting of procurement delays: a case study: Research Articles  

Science Journals Connector (OSTI)

In the engineering and contracting sector, the on-time availability of materials is a crucial element of any project. In recent years, there has been increasing competition in the supply of such components, as a result of market globalization. This has ... Keywords: bidding process, delivery times' forecasts, dynamic linear models, procurement process, project management

Jesus Palomo; Fabrizio Ruggeri; David Rios Insua; Enrico Cagno; Franco Caron; Mauro Mancini

2006-03-01T23:59:59.000Z

212

Validation of the Highway Performance Monitoring System for forecasting levels of traffic  

E-Print Network [OSTI]

(TTI) located on the Texas A&M campus. These data sets were used in the determination of the accuracy of the forecasting method as used by the TXDOT in the submission of the liPMS data. Data from the two test years were obtained from TTI. The test...

Bray, Rebecca Anne

2012-06-07T23:59:59.000Z

213

Short Term Hourly Load Forecasting Using Abductive Networks R. E. Abdel-Aal  

E-Print Network [OSTI]

Short Term Hourly Load Forecasting Using Abductive Networks R. E. Abdel-Aal Center for Applied for this purpose. This paper proposes using the alternative technique of abductive networks, which offers with statistical and empirical models. Using hourly temperature and load data for five years, 24 dedicated models

Abdel-Aal, Radwan E.

214

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

215

2008 European PV Conference, Valencia, Spain COMPARISON OF SOLAR RADIATION FORECASTS FOR THE USA  

E-Print Network [OSTI]

2008 European PV Conference, Valencia, Spain COMPARISON OF SOLAR RADIATION FORECASTS FOR THE USA J, The University at Albany, 251 Fuller Rd, Albany, NY 12203, USA 3 University of Oldenburg, Institute of Physics for a half year period (summer 2007) at three different climates in the USA. ECMWF shows the best results

Perez, Richard R.

216

2010 Unidata Equipment Award Final Report  

E-Print Network [OSTI]

times daily runs of the WRF model run at Millersville University for the eastern two thirds of the U.S. The operational MU WRF model uses a grid spacing of 25 km in a 170 x 140 grid centered on centeral Kentucky. Each run forecasts out to 72 hours. The model is used by the MU weather forecasters in creating local

217

Permit for Charging Equipment Installation: Electric Vehicle Supply Equipment (EVSE)  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Compliance with the following permit will allow the installation and operation of electric vehicle charging equipment at a Compliance with the following permit will allow the installation and operation of electric vehicle charging equipment at a residence in the City, State jurisdiction. This permit addresses one of the following situations: Only an additional branch circuit would be added at the residence A hard-wired charging station would be installed at the residence. The attached requirements for wiring the charging station are taken directly out of the 2011 edition of the National Electrical Code (NEC) NFPA 70, Article 625 Electric Vehicle Charging System. This article does not provide all of the information necessary for the installation of electric vehicle charging equipment. Please refer to the current edition of the electrical code adopted by the local jurisdiction for additional installation requirements. Reference to the 2011 NEC may be

218

Application of a statistical post-processing technique to a gridded, operational, air quality forecast  

Science Journals Connector (OSTI)

Abstract An automated air quality forecast bias correction scheme based on the short-term persistence of model bias with respect to recent observations is described. The scheme has been implemented in the operational Met Office five day regional air quality forecast for the UK. It has been evaluated against routine hourly pollution observations for a year-long hindcast. The results demonstrate the value of the scheme in improving performance. For the first day of the forecast the post-processing reduces the bias from 7.02 to 0.53 ?g m?3 for O3, from ?4.70 to ?0.63 ?g m?3 for NO2, from ?4.00 to ?0.13 ?g m?3 for PM2.5 and from ?7.70 to ?0.25 ?g m?3 for PM10. Other metrics also improve for all species. An analysis of the variation of forecast skill with lead-time is presented and demonstrates that the post-processing increases forecast skill out to five days ahead.

L.S. Neal; P. Agnew; S. Moseley; C. Ordóñez; N.H. Savage; M. Tilbee

2014-01-01T23:59:59.000Z

219

Materials Selection Considerations for Thermal Process Equipment...  

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

Materials Selection Considerations for Thermal Process Equipment: A BestPractices Process Heating Technical Brief Materials Selection Considerations for Thermal Process Equipment:...

220

CRAD, Nuclear Facility Construction - Mechanical Equipment -...  

Office of Environmental Management (EM)

Nuclear Facility Construction - Mechanical Equipment - June 26, 2012 CRAD, Nuclear Facility Construction - Mechanical Equipment - June 26, 2012 June 26, 2012 Nuclear Facility...

Note: This page contains sample records for the topic "forecast year equipment" 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

Request an Inspection of User Electrical Equipment  

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

Request for an Electrical Equipment Inspection All APS User electronic and electrical equipment must be inspected before use in an experiment. Please ask your beamline to make...

222

Summary of Construction Equipment Tests and Activities  

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

Equipment Tests A series of tests were conducted by the APS Construction Vibration Measurement Task Force using various pieces of construction equipment at the APCF...

223

Best Management Practice #11: Commercial Kitchen Equipment  

Broader source: Energy.gov [DOE]

Commercial kitchen equipment represents a large set of water users in the non-residential sector. Water efficiency for commercial kitchen equipment is especially important because high volume...

224

Radar-Derived Forecasts of Cloud-to-Ground Lightning Over Houston, Texas  

E-Print Network [OSTI]

Lightning Forecasts..........................................................................................45 2.7 First Flash Forecasts and Lead Times.....................................................................47 vii... Cell Number ? 25 August 2000..............................................68 3.4 First Flash Forecast Time........................................................................................70 3.5 Lightning Forecasting Algorithm (LFA) Development...

Mosier, Richard Matthew

2011-02-22T23:59:59.000Z

225

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

226

PNNL: EDO - Facilities & Equipment  

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

Facilities & Equipment Facilities & Equipment Facilities Equipment Decades of government investment on and around the Pacific Northwest National Laboratory campus has made PNNL a business-friendly resource for conducting a wide range of research. As a mission-focused organization, we are dedicated to teaming with government agencies, industry and academia to address what we believe are among the nation's most pressing needs in the areas of energy, environment, national security, and fundamental science. But behind these important missions is a wealth of supporting capabilities including incubator space, research laboratories, and user facilities that may be just what your business needs. We invite you to learn more about how we can work with businesses as well as what research laboratories and user facilities are available.

227

Building Energy Software Tools Directory: Energy Usage Forecasts  

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

228

Forecasting Market Demand for New Telecommunications Services: An Introduction  

E-Print Network [OSTI]

Forecasting Market Demand for New Telecommunications Services: An Introduction Peter Mc The marketing team of a new telecommunications company is usually tasked with producing forecasts for diverse three decades of experience working with telecommunications operators around the world we seek

McBurney, Peter

229

River Forecast Application for Water Management: Oil and Water?  

Science Journals Connector (OSTI)

Managing water resources generally and managing reservoir operations specifically have been touted as opportunities for applying forecasts to improve decision making. Previous studies have shown that the application of forecasts into water ...

Kevin Werner; Kristen Averyt; Gigi Owen

2013-07-01T23:59:59.000Z

230

Data Mining in Load Forecasting of Power System  

Science Journals Connector (OSTI)

This project applies Data Mining technology to the prediction of electric power system load forecast. It proposes a mining program of electric power load forecasting data based on the similarity of time series .....

Guang Yu Zhao; Yan Yan; Chun Zhou Zhao…

2013-01-01T23:59:59.000Z

231

Operational Rainfall and Flow Forecasting for the Panama Canal Watershed  

Science Journals Connector (OSTI)

An integrated hydrometeorological system was designed for the utilization of data from various sensors in the 3300 km2 Panama Canal Watershed for the purpose of producing ... forecasts. These forecasts are used b...

Konstantine P. Georgakakos; Jason A. Sperfslage

2005-01-01T23:59:59.000Z

232

Power System Load Forecasting Based on EEMD and ANN  

Science Journals Connector (OSTI)

In order to fully mine the characteristics of load data and improve the accuracy of power system load forecasting, a load forecasting model based on Ensemble Empirical Mode ... is proposed in this paper. Firstly,...

Wanlu Sun; Zhigang Liu; Wenfan Li

2011-01-01T23:59:59.000Z

233

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network [OSTI]

Forecasts Using NEMS and GIS National Climatic Data Center.with Changing Boundaries." Use of GIS to Understand Socio-Forecasts Using NEMS and GIS Appendix A. Map Results Gallery

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

2005-01-01T23:59:59.000Z

234

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

Energy Savers [EERE]

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...

235

The Energy Demand Forecasting System of the National Energy Board  

Science Journals Connector (OSTI)

This paper presents the National Energy Board’s long term energy demand forecasting model in its present state of ... results of recent research at the NEB. Energy demand forecasts developed with the aid of this....

R. A. Preece; L. B. Harsanyi; H. M. Webster

1980-01-01T23:59:59.000Z

236

Forecasting Energy Demand Using Fuzzy Seasonal Time Series  

Science Journals Connector (OSTI)

Demand side energy management has become an important issue for energy management. In order to support energy planning and policy decisions forecasting the future demand is very important. Thus, forecasting the f...

?Irem Uçal Sar?; Ba¸sar Öztay¸si

2012-01-01T23:59:59.000Z

237

1997 Housing Characteristics Tables Home Office Equipment Tables  

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

Percent of U.S. Households; 13 pages, 48 kb) Percent of U.S. Households; 13 pages, 48 kb) Contents Pages HC7-1b. Home Office Equipment by Climate Zone, Percent of U.S. Households, 1997 1 HC7-2b. Home Office Equipment by Year of Construction, Percent of U.S. Households, 1997 1 HC7-3b. Home Office Equipment by Household Income, Percent of U.S. Households, 1997 1 HC7-4b. Home Office Equipment by Type of Housing Unit, Percent of U.S. Households, 1997 1 HC7-5b. Home Office Equipment by Type of Owner-Occupied Housing Unit, Percent of U.S. Households, 1997 1 HC7-6b. Home Office Equipment by Type of Rented Housing Unit, Percent of U.S. Households, 1997 1 HC7-7b. Home Office Equipment by Four Most Populated States, Percent of U.S. Households, 1997 1

238

Wind power forecasting in U.S. electricity markets.  

SciTech Connect (OSTI)

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

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

2010-04-01T23:59:59.000Z

239

Wind power forecasting in U.S. Electricity markets  

SciTech Connect (OSTI)

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

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

2010-04-15T23:59:59.000Z

240

Sandia National Laboratories: Solar Energy Forecasting and Resource...  

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

Energy, Modeling & Analysis, News, News & Events, Partnership, Photovoltaic, Renewable Energy, Solar, Systems Analysis The book, Solar Energy Forecasting and Resource...

Note: This page contains sample records for the topic "forecast year equipment" 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

Equipment  

Science Journals Connector (OSTI)

...circuit can be included which will return the system to its previous state when power has been restored after a power failure. (Panellit, Inc., Dept. 197) * AUXILIARY RECORKFR may be used with the manufacturer's infrared spectropho-tometers to provide...

JOSHUA STERN

1958-08-01T23:59:59.000Z

242

Equipment  

Science Journals Connector (OSTI)

...polarized d-c or a-c voltage, or insulation resistance. Range of voltage measurement...Milli-microsecond Time Interval measuring device. SPECIFICATIONS INPUT PULSE RANGE: 5 105v COUNT STORAGE...its use in any convenient location. (Thermal Dynamic Products Inc., Dept. 247...

JOSHUA STERN

1958-08-08T23:59:59.000Z

243

Annual Fire Report Page 1 of 4 Residence Hall/Historic Houses Fire Protection Equipment  

E-Print Network [OSTI]

Annual Fire Report Page 1 of 4 Residence Hall/Historic Houses Fire Protection Equipment 2012 Residence Hall/Historic Houses Fire Protection Equipment 2012 Calendar Year 24 Bull Street Annex-House X X X Calendar Year College of Charleston Residence Halls and Historic Housing Facilities Fire alarm monitoring

Kasman, Alex

244

Building Technologies Office: About the Appliance and Equipment Standards  

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

the Appliance and Equipment Standards Program the Appliance and Equipment Standards Program The Department of Energy (DOE) and the Buildings Technologies Office sets minimum energy efficiency standards for approximately 50 categories of appliances and equipment used in homes, businesses, and other applications, as required by existing law. The appliances and equipment covered provide services that are used by consumers and businesses each day, such as space heating and cooling, refrigeration, cooking, clothes washing and drying, and lighting. DOE's minimum efficiency standards significantly reduce U.S. energy demand, lower emissions of greenhouse gases and other pollutants, and save consumers billions of dollars every year, without lessening the vital services provided by these products. In addition, DOE implements laws designed to limit the water consumption of several plumbing products.

245

Laboratory Equipment Donation Program - On-Line Application  

Office of Scientific and Technical Information (OSTI)

Application Application Please verify the Item Control Number and the Equipment Name. Please do not leave any required field blank; if no information is available, enter an "X". * denotes required fields. Item Control Number: Equipment Name: School Information (Note: LEDP Eligibility Guidelines must be met and verified below) *School Name: *Department Name: *Department Head Name: Applicant's Information *First Name: Middle Initial: *Last Name: *Address: Address 2: Building: *City: *State: *Zip: *Telephone Number: (###) ###-#### Fax Number: (###) ###-#### *E-mail Address: *Method of Shipment: Account Number: Purchase Order: *Shipping Address: Shipping Address 2: *City, State, & Zip: *Description of how equipment will be used: *Description of any equipment granted by the LEDP Program in the last 3 years:

246

Application of a Combination Forecasting Model in Logistics Parks' Demand  

Science Journals Connector (OSTI)

Logistics parks’ demand is an important basis of establishing the development policy of logistics industry and logistics infrastructure for planning. In order to improve the forecast accuracy of logistics parks’ demand, a combination forecasting ... Keywords: Logistics parks' demand, combine, simulated annealing algorithm, grey forecast model, exponential smoothing method

Chen Qin; Qi Ming

2010-05-01T23:59:59.000Z

247

A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION  

E-Print Network [OSTI]

in the realm of solar radiation forecasting. In this work, two forecasting models: Autoregressive Moving1 A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION. The very first results show an improvement brought by this approach. 1. INTRODUCTION Solar radiation

Boyer, Edmond

248

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network [OSTI]

PSO (FU 2101) Ensemble-forecasts for wind power Wind Power Ensemble Forecasting Using Wind Speed the problems of (i) transforming the meteorological ensembles to wind power ensembles and, (ii) correcting) data. However, quite often the actual wind power production is outside the range of ensemble forecast

249

Accuracy of near real time updates in wind power forecasting  

E-Print Network [OSTI]

· advantage: no NWP data necessary ­ very actual shortest term forecasts possible · wind power inputAccuracy of near real time updates in wind power forecasting with regard to different weather October 2007 #12;EMS/ECAM 2007 ­ Nadja Saleck Outline · Study site · Wind power forecasting - method

Heinemann, Detlev

250

CSUF ECONOMIC OUTLOOK AND FORECASTS MIDYEAR UPDATE -APRIL 2014  

E-Print Network [OSTI]

CSUF ECONOMIC OUTLOOK AND FORECASTS MIDYEAR UPDATE - APRIL 2014 Anil Puri, Ph.D. -- Director, Center for Economic Analysis and Forecasting -- Dean, Mihaylo College of Business and Economics Mira Farka, Ph.D. -- Co-Director, Center for Economic Analysis and Forecasting -- Associate Professor

de Lijser, Peter

251

Forecasting wave height probabilities with numerical weather prediction models  

E-Print Network [OSTI]

Forecasting wave height probabilities with numerical weather prediction models Mark S. Roulstona; Numerical weather prediction 1. Introduction Wave forecasting is now an integral part of operational weather methods for generating such forecasts from numerical model output from the European Centre for Medium

Stevenson, Paul

252

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST. Mitch Tian prepared the peak demand forecast. Ted Dang prepared the historic energy consumption data in California and for climate zones within those areas. The staff California Energy Demand 2008-2018 forecast

253

AUTOMATION OF ENERGY DEMAND FORECASTING Sanzad Siddique, B.S.  

E-Print Network [OSTI]

AUTOMATION OF ENERGY DEMAND FORECASTING by Sanzad Siddique, B.S. A Thesis submitted to the Faculty OF ENERGY DEMAND FORECASTING Sanzad Siddique, B.S. Marquette University, 2013 Automation of energy demand of the energy demand forecasting are achieved by integrating nonlinear transformations within the models

Povinelli, Richard J.

254

Covered Product Category: Imaging Equipment  

Broader source: Energy.gov [DOE]

FEMP provides acquisition guidance and Federal efficiency requirements across a variety of product categories, including imaging equipment, which is covered by the ENERGY STAR® program. Federal laws and requirements mandate that agencies meet these efficiency requirements in all procurement and acquisition actions that are not specifically exempted by law.

255

Commercial Equipment Testing Enforcement Policies  

Broader source: Energy.gov [DOE]

In an exercise of its enforcement discretion, under specific conditions, DOE will not perform assessment testing, verification testing, or enforcement testing on units of certain types of commercial equipment if the manufacturer distributes in commerce an otherwise identical unit that does not have that feature.

256

Wind and Load Forecast Error Model for Multiple Geographically Distributed Forecasts  

SciTech Connect (OSTI)

The impact of wind and load forecast errors on power grid operations is frequently evaluated by conducting multi-variant studies, where these errors are simulated repeatedly as random processes based on their known statistical characteristics. To generate these errors correctly, we need to reflect their distributions (which do not necessarily follow a known distribution law), standard deviations, auto- and cross-correlations. For instance, load and wind forecast errors can be closely correlated in different zones of the system. This paper introduces a new methodology for generating multiple cross-correlated random processes to simulate forecast error curves based on a transition probability matrix computed from an empirical error distribution function. The matrix will be used to generate new error time series with statistical features similar to observed errors. We present the derivation of the method and present some experimental results by generating new error forecasts together with their statistics.

Makarov, Yuri V.; Reyes Spindola, Jorge F.; Samaan, Nader A.; Diao, Ruisheng; Hafen, Ryan P.

2010-11-02T23:59:59.000Z

257

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...

Lang, K.

1982-01-01T23:59:59.000Z

258

Equipment Certification Requirements | Open Energy Information  

Open Energy Info (EERE)

Equipment Certification Requirements Equipment Certification Requirements Jump to: navigation, search Policies requiring renewable energy equipment to meet certain standards serve to protect consumers from buying inferior equipment. These requirements not only benefit consumers; they also protect the renewable energy industry by making it more difficult for substandard systems to reach the market. [1] Contents 1 Equipment Certification Incentives 2 References Equipment Certification Incentives CSV (rows 1 - 19) Incentive Incentive Type Place Applicable Sector Eligible Technologies Active Canada Oil and Gas Operations Act (Canada) Environmental Regulations Equipment Certification Fees Generating Facility Rate-Making Generation Disclosure Industry Recruitment/Support Safety and Operational Guidelines

259

Laboratory Equipment & Supplies | Sample Preparation Laboratories  

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

Equipment & Supplies Equipment & Supplies John Bargar, SSRL Scientist Equipment is available to serve disciplines from biology to material science. All laboratories contain the following standard laboratory equipment: pH meters with standard buffers, analytical balances, microcentrifuges, vortex mixers, ultrasonic cleaning baths, magnetic stirrers, hot plates, and glassware. Most laboratories offer ice machines and cold rooms. Specialty storage areas for samples include a -80 freezer, argon and nitrogen glove boxes, radiation contamination areas, inert atmosphere chambers, and cold rooms. For specific information please see: Equipment Inventory Checkout Equipment & Supplies To view equipment inventory by laboratory, refer to the following pages: Biology Chemistry & Material Science Laboratory 1 Inventory

260

Forecasting the Locational Dynamics of Transnational Terrorism  

E-Print Network [OSTI]

Forecasting the Locational Dynamics of Transnational Terrorism: A Network Analytic Approach Bruce A-0406 Fax: (919) 962-0432 Email: skyler@unc.edu Abstract--Efforts to combat and prevent transnational terror of terrorism. We construct the network of transnational terrorist attacks, in which source (sender) and target

Massachusetts at Amherst, University of

Note: This page contains sample records for the topic "forecast year equipment" 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

Do quantitative decadal forecasts from GCMs provide  

E-Print Network [OSTI]

' · Empirical models quantify our ability to predict without knowing the laws of physics · Climatology skill' model? 2. Dynamic climatology (DC) is a more appropriate benchmark for near- term (initialised) climate forecasts · A conditional climatology, initialised at launch and built from the historical archive

Stevenson, Paul

262

Sunny outlook for space weather forecasters  

Science Journals Connector (OSTI)

... For decades, companies have tailored public weather data for private customers from farmers to airlines. On Wednesday, a group of businesses said that they ... utilities and satellite operators. But Terry Onsager, a physicist at the SWPC, says that private forecasting firms are starting to realize that they can add value to these predictions. ...

Eric Hand

2012-04-27T23:59:59.000Z

263

Modeling of Uncertainty in Wind Energy Forecast  

E-Print Network [OSTI]

regression and splines are combined to model the prediction error from Tunø Knob wind power plant. This data of the thesis is quantile regression and splines in the context of wind power modeling. Lyngby, February 2006Modeling of Uncertainty in Wind Energy Forecast Jan Kloppenborg Møller Kongens Lyngby 2006 IMM-2006

264

Prediction versus Projection: How weather forecasting and  

E-Print Network [OSTI]

Prediction versus Projection: How weather forecasting and climate models differ. Aaron B. Wilson Context: Global http://data.giss.nasa.gov/ #12;Numerical Weather Prediction Collect Observations alters associated weather patterns. Models used to predict weather depend on the current observed state

Howat, Ian M.

265

Customized forecasting tool improves reserves estimation  

SciTech Connect (OSTI)

Unique producing characteristics of the Teapot sandstone formation, Powder River basin, Wyoming, necessitated the creation of individualized production forecasting methods for wells producing from this reservoir. The development and use of a set of production type curves and correlations for Teapot wells are described herein.

Mian, M.A.

1986-04-01T23:59:59.000Z

266

Storm-in-a-Box Forecasting  

Science Journals Connector (OSTI)

...But the WRF has no immediate...being tuned to local conditions...temperatures and winds with altitude...resulting WRF forecasts...captured the local sea-breeze winds better...spread the local operation of mesoscale...to be the WRF model now...

Richard A. Kerr

2004-05-14T23:59:59.000Z

267

FORECAST OF VACANCIES Until end of 2016  

E-Print Network [OSTI]

#12;FORECAST OF VACANCIES Until end of 2016 (Issue No. 22) #12;Page 2 OVERVIEW OF BASIC REQUIREMENTS FOR PROFESSIONAL VACANCIES IN THE IAEA Education, Experience and Skills: Professional staff the team of professionals. Second half 2015 VACANCY GRADE REQUIREMENTS / ROLE EXPECTED DATE OF VACANCY

268

Online short-term solar power forecasting  

SciTech Connect (OSTI)

This paper describes a new approach to online forecasting of power production from PV systems. The method is suited to online forecasting in many applications and in this paper it is used to predict hourly values of solar power for horizons of up to 36 h. The data used is 15-min observations of solar power from 21 PV systems located on rooftops in a small village in Denmark. The suggested method is a two-stage method where first a statistical normalization of the solar power is obtained using a clear sky model. The clear sky model is found using statistical smoothing techniques. Then forecasts of the normalized solar power are calculated using adaptive linear time series models. Both autoregressive (AR) and AR with exogenous input (ARX) models are evaluated, where the latter takes numerical weather predictions (NWPs) as input. The results indicate that for forecasts up to 2 h ahead the most important input is the available observations of solar power, while for longer horizons NWPs are the most important input. A root mean square error improvement of around 35% is achieved by the ARX model compared to a proposed reference model. (author)

Bacher, Peder; Madsen, Henrik [Informatics and Mathematical Modelling, Richard Pedersens Plads, Technical University of Denmark, Building 321, DK-2800 Lyngby (Denmark); Nielsen, Henrik Aalborg [ENFOR A/S, Lyngsoe Alle 3, DK-2970 Hoersholm (Denmark)

2009-10-15T23:59:59.000Z

269

New York City - Property Tax Abatement for Photovoltaic (PV) Equipment  

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

Property Tax Abatement for Photovoltaic (PV) Property Tax Abatement for Photovoltaic (PV) Equipment Expenditures New York City - Property Tax Abatement for Photovoltaic (PV) Equipment Expenditures < Back Eligibility Commercial Industrial Institutional Multi-Family Residential Nonprofit Residential Schools Savings Category Solar Buying & Making Electricity Maximum Rebate $62,500 annually or the amount of real property taxes owed during a year Program Info Start Date 08/05/2008 State New York Program Type Property Tax Incentive Rebate Amount Installed from August 5, 2008 to December 31, 2010: 8.75% of system expenditures per year for 4 years (total of 35%); Installed from January 1, 2011 to December 31, 2012: 5% of system expenditures per year for 4 years (total of 20%); Installed from January 1, 2013 to December 31, 2014: 2.5% of system

270

Operational forecasting based on a modified Weather Research and Forecasting model  

SciTech Connect (OSTI)

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

Lundquist, J; Glascoe, L; Obrecht, J

2010-03-18T23:59:59.000Z

271

Forecastability as a Design Criterion in Wind Resource Assessment: Preprint  

SciTech Connect (OSTI)

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

Zhang, J.; Hodge, B. M.

2014-04-01T23:59:59.000Z

272

Bulk Hauling Equipment for CHG  

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

BULK HAULING EQUIPMENT FOR CHG BULK HAULING EQUIPMENT FOR CHG Don Baldwin Director of Product Development - Hexagon Lincoln HEXAGON LINCOLN TITAN(tm) Module System Compressed Hydrogen Gas * Capacity 250 bar - 616 kg 350 bar - 809 kg 540 bar - 1155 kg * Gross Vehicle Weight (with prime mover) 250 bar - 28 450 kg 350 bar - 30 820 kg 540 bar - 39 440 kg * Purchase Cost 250 bar - $510,000 350 bar - $633,750 540 bar - $1,100,000 Compressed Natural Gas * Capacity (250 bar at 15 C) - 7412 kg * GVW (With prime mover) - 35 250 kg * Purchase Cost (+/- 5%) - $510,000 HEXAGON LINCOLN TITAN(tm) V Magnum Trailer System Compressed Hydrogen Gas * Capacity 250 bar - 800 kg 350 bar - 1050 kg 540 bar - 1500 kg * Gross Vehicle Weight (with prime mover) 250 bar - 31 000 kg 350 bar - 34 200 kg 540 bar - 45 700 kg * Purchase Cost (+/-

273

BASIS Equipment | ORNL Neutron Sciences  

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

Equipment Equipment BASIS Schematic Schematic of the SNS Backscattering Spectrometer. Helium dewer cooling a sample Helium dewer cooling a sample (bird's eye view). The heart of the work in a typical experiment is setting up the sample in the desired environment. A typical neutron sample ranging from a millimeter to a few centimeters is placed in a specialized cylindrical can and sealed. For liquids, the backscattering instrument often uses an annular can, created by placing a smaller can within a larger can and inserting the liquid sample between the two cans. This picture shows a helium dewer cooling the environment encompassing the sample can, which has been lowered into the beam from the top of the scattering tank. Crystals Crystals. The backscattering spectrometer is defined by the reflection of specific

274

Football facility and equipment management  

Science Journals Connector (OSTI)

The paper investigates the subject of football facility and equipment management to present the key success factors and planning elements for consideration. The work is based on secondary data analysis and literature review, and the findings include both descriptive and prescriptive elements. The findings construct a theoretical basis for further development and provide football managers with explicit and practical advice on the subject. They further indicate that topics pertaining to football facility and equipment management are not and should not be viewed as independent tasks under a common umbrella. They are all part of a larger system with all aspects interrelated both at the planning and the operation stages. Moreover, they are found to be inextricably linked with the wider strategic and marketing processes and constitute a significant part of the value proposition of the club to its immediate customers, implicit customers, industry associates and wider society.

Nicos L. Kartakoullis; Alkis Thrassou; Demetris Vrontis; Thanos Kriemadis

2013-01-01T23:59:59.000Z

275

Emissions characteristics of modern oil heating equipment  

SciTech Connect (OSTI)

Over the last 10 years there have been some very interesting developments in oil heating. These include higher static pressure burners, air atomizing nozzles, low firing rate nozzles, low heat loss combustion chambers and condensing boilers and furnaces. The current data base on the emissions characteristics of oil-fired residential heating equipment is based primarily on data taken in the 1970's. The objective of the work described in this report is to evaluate the effects of recent developments in oil-fired equipment on emissions. Detailed emissions measurements have been made on a number of currently available residential oil burners and whole systems selected to represent recent development trends. Some additional data was taken with equipment which is in the prototype stage. These units are a prevaporizing burner and a retention head burner modified with an air atomizing nozzle. Measurements include No{sub x}, smoke numbers, CO, gas phase hydrocarbon emissions and particulate mass emission rates. Emissions of smoke, CO and hydrocarbons were found to be significantly greater under cyclic operation for all burners tested. Generally, particulate emission rates were found to be 3 to 4 times greater in cyclic operation than in steady state. Air atomized burners were found to be capable of operation at much lower excess air levels than pressure atomized burners without producing significant amounts of smoke. As burner performance is improved, either through air atomization or prevaporization of the fuel, there appears to be a general trend towards producing CO at lower smoke levels as excess air is decreased. The criteria of adjusting burners for trace smoke may need to be abandoned for advanced burners and replaced with an adjustment for specific excess air levels. 17 refs., 15 figs., 6 tabs.

Krajewski, R.; Celebi, Y.; Coughlan, R.; Butcher, T.; McDonald, R.J.

1990-07-01T23:59:59.000Z

276

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.

277

Used energy-related laboratory equipment grant program for institutions of higher learning. Eligible equipment catalog  

SciTech Connect (OSTI)

This is a listing of energy related equipment available through the Energy-Related Laboratory Equipment Grant Program which grants used equipment to institutions of higher education for energy-related research. Information included is an overview of the program, how to apply for a grant of equipment, eligibility requirements, types of equipment available, and the costs for the institution.

Not Available

1994-07-01T23:59:59.000Z

278

Strategy Guideline: HVAC Equipment Sizing  

SciTech Connect (OSTI)

The heating, ventilation, and air conditioning (HVAC) system is arguably the most complex system installed in a house and is a substantial component of the total house energy use. A right-sized HVAC system will provide the desired occupant comfort and will run efficiently. This Strategy Guideline discusses the information needed to initially select the equipment for a properly designed HVAC system. Right-sizing of an HVAC system involves the selection of equipment and the design of the air distribution system to meet the accurate predicted heating and cooling loads of the house. Right-sizing the HVAC system begins with an accurate understanding of the heating and cooling loads on a space; however, a full HVAC design involves more than just the load estimate calculation - the load calculation is the first step of the iterative HVAC design procedure. This guide describes the equipment selection of a split system air conditioner and furnace for an example house in Chicago, IL as well as a heat pump system for an example house in Orlando, Florida. The required heating and cooling load information for the two example houses was developed in the Department of Energy Building America Strategy Guideline: Accurate Heating and Cooling Load Calculations.

Burdick, A.

2012-02-01T23:59:59.000Z

279

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 yearÂ’s International Energy Outlook (IEO) are based on the Energy Information AdministrationÂ’s (EIAÂ’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 regionÂ’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.

280

Stellar Astrophysics Requirements NERSC Forecast  

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

Requirements for Requirements for m461:Stellar Explosions in Three Dimensions Tomek Plewa (Florida State University) + 3 graduate students, Artur Gawryszczak (Warsaw), Konstantinos Kifonidis (Munich), Andrzej Odrzywolek (Cracow), Ju Zhang (FIT), Andrey Zhiglo (Kharkov) 1. m461: Stellar Explosions in Three Dimensions * Summarize your projects and expected scientific objectives through 2014 * Modeling and simulations of transient phenomena in stellar astrophysics driven by either radiation or thermonuclear processes * Numerical solution of a coupled system of PDEs and ODEs * Tame nonlinearity! * Our goal is to ... * Explain observed properties of exploding stellar objects * Present focus is ... * Neutrino-driven core-collapse supernova explosions * In the next 3 years we expect to ...

Note: This page contains sample records for the topic "forecast year equipment" 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

Vision 2023: Forecasting Turkey's natural gas demand between 2013 and 2030  

Science Journals Connector (OSTI)

Natural gas is the primary source for electricity production in Turkey. However, Turkey does not have indigenous resources and imports more than 98.0% of the natural gas it consumes. In 2011, more than 20.0% of Turkey's annual trade deficit was due to imported natural gas, estimated at US$ 20.0 billion. Turkish government has very ambitious targets for the country's energy sector in the next decade according to the Vision 2023 agenda. Previously, we have estimated that Turkey's annual electricity demand would be 530,000 GWh at the year 2023. Considering current energy market dynamics it is almost evident that a substantial amount of this demand would be supplied from natural gas. However, meticulous analysis of the Vision 2023 goals clearly showed that the information about the natural gas sector is scarce. Most importantly there is no demand forecast for natural gas in the Vision 2023 agenda. Therefore, in this study the aim was to generate accurate forecasts for Turkey's natural gas demand between 2013 and 2030. For this purpose, two semi-empirical models based on econometrics, gross domestic product (GDP) at purchasing power parity (PPP) per capita, and demographics, population change, were developed. The logistic equation, which can be used for long term natural gas demand forecasting, and the linear equation, which can be used for medium term demand forecasting, fitted to the timeline series almost seamlessly. In addition, these two models provided reasonable fits according to the mean absolute percentage error, MAPE %, criteria. Turkey's natural gas demand at the year 2030 was calculated as 76.8 billion m3 using the linear model and 83.8 billion m3 based on the logistic model. Consequently, found to be in better agreement with the official Turkish petroleum pipeline corporation (BOTAS) forecast, 76.4 billion m3, than results published in the literature.

Mehmet Melikoglu

2013-01-01T23:59:59.000Z

282

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

283

Voluntary Green Power Market Forecast through 2015  

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

158 158 May 2010 Voluntary Green Power Market Forecast through 2015 Lori Bird National Renewable Energy Laboratory Ed Holt Ed Holt & Associates, Inc. Jenny Sumner and Claire Kreycik National Renewable Energy Laboratory National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-6A2-48158 May 2010 Voluntary Green Power Market Forecast through 2015 Lori Bird National Renewable Energy Laboratory Ed Holt Ed Holt & Associates, Inc. Jenny Sumner and Claire Kreycik National Renewable Energy Laboratory

284

Forecasting hotspots using predictive visual analytics approach  

SciTech Connect (OSTI)

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

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

2014-12-30T23:59:59.000Z

285

Long-term electricity demand forecasting for power system planning using economic, demographic and climatic variables  

Science Journals Connector (OSTI)

The stochastic planning of power production overcomes the drawback of deterministic models by accounting for uncertainties in the parameters. Such planning accounts for demand uncertainties by using scenario sets and probability distributions. However, in previous literature, different scenarios were developed by either assigning arbitrary values or assuming certain percentages above or below a deterministic demand. Using forecasting techniques, reliable demand data can be obtained and inputted to the scenario set. This article focuses on the long-term forecasting of electricity demand using autoregressive, simple linear and multiple linear regression models. The resulting models using different forecasting techniques are compared through a number of statistical measures and the most accurate model was selected. Using Ontario's electricity demand as a case study, the annual energy, peak load and base load demand were forecasted up to the year 2025. In order to generate different scenarios, different ranges in the economic, demographic and climatic variables were used. [Received 16 October 2007; Revised 31 May 2008; Revised 25 October 2008; Accepted 1 November 2008

F. Chui; A. Elkamel; R. Surit; E. Croiset; P.L. Douglas

2009-01-01T23:59:59.000Z

286

Exponential smoothing model selection for forecasting  

Science Journals Connector (OSTI)

Applications of exponential smoothing to forecasting time series usually rely on three basic methods: simple exponential smoothing, trend corrected exponential smoothing and a seasonal variation thereof. A common approach to selecting the method appropriate to a particular time series is based on prediction validation on a withheld part of the sample using criteria such as the mean absolute percentage error. A second approach is to rely on the most appropriate general case of the three methods. For annual series this is trend corrected exponential smoothing: for sub-annual series it is the seasonal adaptation of trend corrected exponential smoothing. The rationale for this approach is that a general method automatically collapses to its nested counterparts when the pertinent conditions pertain in the data. A third approach may be based on an information criterion when maximum likelihood methods are used in conjunction with exponential smoothing to estimate the smoothing parameters. In this paper, such approaches for selecting the appropriate forecasting method are compared in a simulation study. They are also compared on real time series from the M3 forecasting competition. The results indicate that the information criterion approaches provide the best basis for automated method selection, the Akaike information criteria having a slight edge over its information criteria counterparts.

Baki Billah; Maxwell L. King; Ralph D. Snyder; Anne B. Koehler

2006-01-01T23:59:59.000Z

287

Abatement of Air Pollution: Air Pollution Control Equipment and Monitoring Equipment Operation (Connecticut)  

Broader source: Energy.gov [DOE]

These regulations contain instructions for the operation and monitoring of air pollution control equipment, as well as comments on procedures in the event of equipment breakdown, failure, and...

288

Fire suppression and detection equipment  

SciTech Connect (OSTI)

Inspection and testing guidelines go beyond the 'Code of Federal Regulation'. Title 30 of the US Code of Federal Regulations (30 CFR) contains requirements and references to national standards for inspection, testing and maintenance of fire suppression and detection equipment for mine operators. However, federal requirements have not kept pace with national standards and best practices. The article lists National Fire Protection (NFPA) standards that are referenced by the US Mine Safety and Health Administration (MSHA) in 30 CFR. It then discusses other NFPA Standards excluded from 30 CFR and explains the NFPA standard development process. 2 refs., 3 tabs., 5 photos.

E.E. Bates [HSB Professional Loss Control, Lexington, KY (United States)

2006-01-15T23:59:59.000Z

289

Laboratory Equipment Donation Program - Application Process  

Office of Scientific and Technical Information (OSTI)

Equipment listings on the LEDP web site are obtained from the U.S. General Equipment listings on the LEDP web site are obtained from the U.S. General Services Administration (GSA) Energy Asset Disposal System (EADS). Once equipment is listed, EADS allows 30 days for grantees from eligible institutions to apply for it on the LEDP site. Equipment Condition Codes are found near the top of the "LEDP Equipment Information" page for each item. The condition of equipment is graded as follows: 1: Unused Good Condition 4: Used Good Condition 7: Repairable Requires Repairs X: Salvage Salvage S: Scrap Scrap Specific questions concerning equipment should be directed to the point of contact responsible for the item(s) under consideration. This information is listed on the "Equipment Information" page, as well as on the grant

290

INL Equipment to Aid Regional Response Team  

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

INL Equipment to Aid Regional Response Team DOE-ID is transferring equipment to the Idaho Falls Police Department's Hazardous Materials Response Team for their use in responding to...

291

Operations and Maintenance for Major Equipment Types  

Broader source: Energy.gov [DOE]

Equipment lies at the heart of all operations and maintenance (O&M) activities. This equipment varies greatly across the Federal sector in age, size, type, model, condition, etc.

292

Dental CBCT equipment and performance issues  

Science Journals Connector (OSTI)

......time due to insufficient dose audit data. For dental CBCT equipment...there are no large-scale audits of equipment in clinical use...http://ec.europa.eu/energy/nuclear/radiation_protection...http://ec.europa.eu/energy/nuclear/radioprotection......

K. Horner; R. Jacobs; R. Schulze

2013-02-01T23:59:59.000Z

293

Selection of Equipment for Farms in the Texas High Plains.  

E-Print Network [OSTI]

of $2.:: ;:,! characteristics of tractors were obtained primarily from the hour or above. Nebraska Tractor Tests and the operating characteristics of implements from published data and local estimates. Farm enterprise organization was determined from... tractors and eight-row implements. .it wage rate of $1.75 per hour and high draft arrurnrt~. 1 an optimum eight-row equipment system had annul! -I\\ of $8,755.86. An optimum six-row equipment systcr 1 creased costs by $93.93 per year and an optimum four...

Barrick, W. C.; Osborn, J. E.

1971-01-01T23:59:59.000Z

294

Consider Steam Turbine Drives for Rotating Equipment  

Broader source: Energy.gov [DOE]

This tip sheet outlines the benefits of steam turbine drives for rotating equipment as part of optimized steam systems.

295

Proceedings: Tenth EPRI Substation Equipment Diagnostics Conference  

SciTech Connect (OSTI)

Advanced monitoring and diagnostic sensors and systems are needed to provide reliable and accurate information for determining the condition of major transmission substation equipment. The tenth EPRI Substation Equipment Diagnostics Conference highlighted the work of researchers, universities, manufacturers, and utilities in producing advanced monitoring and diagnostic equipment for substations.

None

2002-06-01T23:59:59.000Z

296

Proceedings: Substation Equipment Diagnostics Conference IX  

SciTech Connect (OSTI)

Advanced monitoring and diagnostic sensors and systems are needed to provide reliable and accurate information for determining the condition of major transmission substation equipment. The ninth EPRI Substation Equipment Diagnostics Conference highlighted the work of researchers, universities, manufacturers, and utilities in producing advanced monitoring and diagnostic equipment for substations.

None

2001-09-01T23:59:59.000Z

297

Proceedings: Substation Equipment Diagnostics Conference VIII  

SciTech Connect (OSTI)

Advanced monitoring and diagnostic sensors and systems are needed to provide reliable and accurate information for determining the condition of major transmission substation equipment. The eighth EPRI Substation Equipment Diagnostics Conference highlighted the work of researchers, universities, manufacturers, and utilities in producing advanced monitoring and diagnostic equipment for substations.

None

2000-06-01T23:59:59.000Z

298

BBO-based small autonomous hybrid power system optimization incorporating wind speed and solar radiation forecasting  

Science Journals Connector (OSTI)

Abstract Rising carbon emission or carbon footprint imposes grave concern over the earth?s climatic condition, as it results in increasing average global temperature. Renewable energy sources seem to be the favorable solution in this regard. It can reduce the overall energy consumption rate globally. However, the renewable sources are intermittent in nature with very high initial installation price. Off-grid Small Autonomous Hybrid Power Systems (SAHPS) are good alternative for generating electricity locally in remote areas, where the transmission and distribution of electrical energy generated from conventional sources are otherwise complex, difficult and costly. In optimizing SAHPS, weather data over past several years are generally the main input, which include wind speed and solar radiation. The weather resources used in this optimization process have unsystematic variations based on the atmospheric and seasonal phenomenon and it also varies from year to year. While using past data in the analysis of SAHPS performance, it was assumed that the same pattern will be followed in the next year, which in reality is very unlikely to happen. In this paper, we use BBO optimization algorithm for SAHPS optimal component sizing by minimizing the cost of energy. We have also analysed the effect of using forecast weather data instead of past data on the SAHPS performance. ANNs, which are trained with back-propagation training algorithm, are used for wind speed and solar radiation forecasting. A case study was used for demonstrating the performance of BBO optimization algorithm along with forecasting effects. The simulation results clearly showed the advantages of utilizing wind speed and solar radiation forecasting in a SAHPS optimization problem.

R.A. Gupta; Rajesh Kumar; Ajay Kumar Bansal

2015-01-01T23:59:59.000Z

299

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

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

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.

300

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

Note: This page contains sample records for the topic "forecast year equipment" 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

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

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

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.

302

Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint  

SciTech Connect (OSTI)

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

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

2013-10-01T23:59:59.000Z

303

Electric Grid - Forecasting system licensed | ornl.gov  

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

Electric Grid - Forecasting system licensed Location Based Technologies has signed an agreement to integrate and market an Oak Ridge National Laboratory technology that provides...

304

Managing Wind Power Forecast Uncertainty in Electric Grids.  

E-Print Network [OSTI]

??Electricity generated from wind power is both variable and uncertain. Wind forecasts provide valuable information for wind farm management, but they are not perfect. Chapter… (more)

Mauch, Brandon Keith

2012-01-01T23:59:59.000Z

305

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

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

for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) and Safety-Net Cost Recovery Adjustment Clause (SN CRAC) FY 2003 Third Quarter Review Forecast in Millions...

306

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

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

for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) and Safety-Net Cost Recovery Adjustment Clause (SN CRAC) FY 2004 Second Quarter Review Forecast In Millions...

307

Integrating agricultural pest biocontrol into forecasts of energy biomass production  

E-Print Network [OSTI]

Analysis Integrating agricultural pest biocontrol into forecasts of energy biomass production T pollution, greenhouse gas emissions, and soil erosion (Nash, 2007; Searchinger et al., 2008). On the other

Gratton, Claudio

308

Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices  

SciTech Connect (OSTI)

On December 9, the reference case projections from ''Annual Energy Outlook 2005 (AEO 2005)'' were posted on the Energy Information Administration's (EIA) web site. As some of you may be aware, we at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk. As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past four years, forward natural gas contracts (e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past four years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation (presuming that long-term price stability is valued). In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2005. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or, more recently (and briefly), http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past four AEO releases (AEO 2001-AE0 2004), we once again find that the AEO 2005 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEXAEO 2005 reference case comparison yields by far the largest premium--$1.11/MMBtu levelized over six years--that we have seen over the last five years. In other words, on average, one would have to pay $1.11/MMBtu more than the AEO 2005 reference case natural gas price forecast in order to lock in natural gas prices over the coming six years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation. Fixed-price renewables obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of six years.

Bolinger, Mark; Wiser, Ryan

2004-12-13T23:59:59.000Z

309

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX FuturesPrices  

SciTech Connect (OSTI)

On December 12, 2005, the reference case projections from ''Annual Energy Outlook 2006'' (AEO 2006) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past five years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past five years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2006. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past five AEO releases (AEO 2001-AEO 2005), we once again find that the AEO 2006 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEX-AEO 2006 reference case comparison yields by far the largest premium--$2.3/MMBtu levelized over five years--that we have seen over the last six years. In other words, on average, one would have had to pay $2.3/MMBtu more than the AEO 2006 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

Bolinger, Mark; Wiser, Ryan

2005-12-19T23:59:59.000Z

310

Solar Equipment Certification | Department of Energy  

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

Solar Equipment Certification Solar Equipment Certification Solar Equipment Certification < Back Eligibility Construction General Public/Consumer Savings Category Solar Buying & Making Electricity Heating & Cooling Water Heating Program Info State Florida Program Type Equipment Certification Provider Florida Solar Energy Center Under the Solar Energy Standards Act of 1976, the Florida Solar Energy Center (FSEC) is responsible for certifying all solar equipment sold in Florida. A manufacturer who wishes to have their solar equipment certified first contacts FSEC for an application and requests that FSEC test samples of the product at random. Equipment is then subjected to a series of tests in order to be approved or denied certification. Standards and applications procedures for specific technologies are available on the FSEC web site.

311

Appliances and Commercial Equipment Standards  

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

Commercial and Industrial Pumps Commercial and Industrial Pumps Sign up for e-mail updates on regulations for this and other products Pumps are used in agriculture, oil and gas production, water and wastewater, manufacturing, mining, and commercial building systems. Currently there are no energy conservation standards for pumps. The Department of Energy (DOE) will conduct an analysis of the energy use, emissions, costs, and benefits associated with this equipment during the commercial and industrial pumps energy conservation standards rulemaking. Recent Updates | Standards | Test Procedures | Waiver, Exception, and Exemption Information | Statutory Authority | Historical Information | Contact Information Recent Updates DOE published a notice of public meeting and availability of the framework document. 78 FR 7304 (Feb. 1, 2013). For more information, please see the rulemaking page.

312

Appliances and Commercial Equipment Standards  

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

Commercial and Industrial Compressors Determination Commercial and Industrial Compressors Determination Sign up for e-mail updates on regulations for this and other products The Department of Energy (DOE) proposes to determine that commercial and industrial compressors meet the criteria for covered equipment under Part A-1 of Title III of the Energy Policy and Conservation Act (EPCA), as amended. Recent Updates | Public Meeting Information | Submitting Public Comments | Milestones and Documents | Related Rulemakings | Statutory Authority | Contact Information Recent Updates DOE published a Proposed Coverage Determination concerning commercial and industrial compressors. 77 FR 76972 (Dec. 31, 2012). Public Meeting Information No public meeting is scheduled at this time. Submitting Public Comments The comment period is closed.

313

Appliances and Commercial Equipment Standards  

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

Alternative Efficiency Determination Methods and Alternate Rating Methods Alternative Efficiency Determination Methods and Alternate Rating Methods Sign up for e-mail updates on regulations for this and other products The Department of Energy (DOE) is proposing to revise and expand its existing regulations governing the use of alternative efficiency determination methods (AEDM) and alternate rating methods (ARM) for covered products as alternatives to testing for the purpose of certifying compliance. Recent Updates | Public Meeting Information | Submitting Public Comments | Milestones and Documents | Related Rulemakings | Statutory Authority | Contact Information Recent Updates DOE published a final rule revising its existing regulations governing the use of particular methods as alternatives to testing for commercial heating, ventilating, air conditioning, water heating, and refrigeration equipment. 78 FR 79579 (December 31, 2013).

314

Appliances and Commercial Equipment Standards  

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

Illuminated Exit Signs Illuminated Exit Signs Sign up for e-mail updates on regulations for this and other products The Department of Energy (DOE) has regulated the energy efficiency level of illuminated exit signs since 2005. Illuminated exit signs are used to indicate exit doors in schools, hospitals, libraries, government buildings, and commercial buildings of all kinds, including offices, restaurants, stores, auditoriums, stadiums, and movie theatres. Recent Updates | Standards | Test Procedures | Waiver, Exception, and Exemption Information | Statutory Authority | Historical Information | Contact Information Recent Updates There are no recent updates for this equipment. Standards for Illuminated Exit Signs The following content summarizes the energy conservation standards for illuminated exit signs. The text is not an official reproduction of the Code of Federal Regulations and should not be used for legal research or citation.

315

Appliances and Commercial Equipment Standards  

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

Commercial Warm Air Furnaces Commercial Warm Air Furnaces Sign up for e-mail updates on regulations for this and other products The Department of Energy (DOE) has regulated the energy efficiency level of commercial warm air furnaces since 1994. Commercial warm air furnaces are self-contained oil-fired or gas-fired furnaces that are designed to supply heated air through ducts to spaces that require it. Commercial warm air furnaces are industrial equipment and have a maximum rated input capacity of 225,000 British thermal units (Btu) an hour or more. Recent Updates | Standards | Test Procedures | Waiver, Exception, and Exemption Information | Statutory Authority | Historical Information | Contact Information Recent Updates DOE published a request for information regarding energy conservation standards for commercial warm air furnaces. 78 FR 25627 (May 2, 2013). For more information, please see the rulemaking webpage.

316

Appliance and Equipment Standards Program  

Broader source: Energy.gov [DOE]

The Building Technologies Office (BTO) implements minimum energy conservation standards for more than 50 categories of appliances and equipment. As a result of these standards, energy users saved about $55 billion on their utility bills in 2013. Since the beginning of 2009, 25 new or updated standards have been issued, which will help increase annual savings by more than 50 percent over the next decade. By 2030, cumulative operating cost savings from all standards in effect since 1987 will reach over $1.7 trillion, with a cumulative reduction of 6.8 billion tons of carbon dioxide emissions, equivalent to the annual greenhouse gas emissions of 1.4 billion automobiles. Products covered by standards represent about 90% of home energy use, 60% of commercial building use, and 29% of industrial energy us

317

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX FuturesPrices  

SciTech Connect (OSTI)

On December 5, 2006, the reference case projections from 'Annual Energy Outlook 2007' (AEO 2007) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past six years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past six years at least, levelized cost comparisons of fixed-price renewable generation with variable-price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are 'biased' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2007. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past six AEO releases (AEO 2001-AEO 2006), we once again find that the AEO 2007 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. Specifically, the NYMEX-AEO 2007 premium is $0.73/MMBtu levelized over five years. In other words, on average, one would have had to pay $0.73/MMBtu more than the AEO 2007 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

Bolinger, Mark; Wiser, Ryan

2006-12-06T23:59:59.000Z

318

Forecasting for inventory control with exponential smoothing  

Science Journals Connector (OSTI)

Exponential smoothing, often used in sales forecasting for inventory control, has always been rationalized in terms of statistical models that possess errors with constant variances. It is shown in this paper that exponential smoothing remains appropriate under more general conditions, where the variance is allowed to grow or contract with corresponding movements in the underlying level. The implications for estimation and prediction are explored. In particular, the problem of finding the predictive distribution of aggregate lead-time demand, for use in inventory control calculations, is considered using a bootstrap approach. A method for establishing order-up-to levels directly from the simulated predictive distribution is also explored.

Ralph D. Snyder; Anne B. Koehler; J.Keith Ord

2002-01-01T23:59:59.000Z

319

Probabilistic Verification of Global and Mesoscale Ensemble Forecasts of Tropical Cyclogenesis  

Science Journals Connector (OSTI)

Probabilistic forecasts of tropical cyclogenesis have been evaluated for two samples: a near-homogeneous sample of ECMWF and Weather Research and Forecasting (WRF) Model–ensemble Kalman filter (EnKF) ensemble forecasts during the National Science ...

Sharanya J. Majumdar; Ryan D. Torn

2014-10-01T23:59:59.000Z

320

Early Markets: Fuel Cells for Material Handling Equipment | Department...  

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

Material Handling Equipment Early Markets: Fuel Cells for Material Handling Equipment This fact sheet describes the use of hydrogen fuel cells to power material handling equipment...

Note: This page contains sample records for the topic "forecast year equipment" 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

Step 5b: Help Program Contractors Obtain the Necessary Equipment...  

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

b: Help Program Contractors Obtain the Necessary Equipment Step 5b: Help Program Contractors Obtain the Necessary Equipment In addition to equipment for installing energy...

322

Operations and Maintenance for Major Equipment Types | Department...  

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

Types Operations and Maintenance for Major Equipment Types Equipment lies at the heart of all operations and maintenance (O&M) activities. This equipment varies greatly...

323

Fusion of artificial neural network and fuzzy system for short term weather forecasting  

Science Journals Connector (OSTI)

Weather forecasting is the challenging problem for the modern life. Some researches have been conducted to design the accurate prediction in some past years but still it is incomplete. In this paper, we propose the system of short period weather forecasting designed based on the current weather parameter consisted of temperature, humidity, air pressure, wind direction and speed and present weather condition. This system uses fusion of feed forward artificial neural network (ANN) and fuzzy system architecture as main algorithm of weather prediction, Lavendberg-Marquadt as learning algorithm and fuzzy C-mean (FCM) as clustering method in initialisation step. Based on the system architecture, this method can predict the weather continuously despite the change of unpredictable patterns. Furthermore, this system has clear reasoning logic on the fuzzy logic instead of its adaptation ability on its neural network architecture. The performance of proposed system has accuracy up to 78% for validity among three possible weathers, i.e., shiny, cloudy and rainy.

Budiman Putra; Bagus Tris Atmaja; Syahroni Hidayat

2012-01-01T23:59:59.000Z

324

2007 Wholesale Power Rate Case Final Proposal : Market Price Forecast Study.  

SciTech Connect (OSTI)

This study presents BPA's market price forecasts for the Final Proposal, which are based on AURORA modeling. AURORA calculates the variable cost of the marginal resource in a competitively priced energy market. In competitive market pricing, the marginal cost of production is equivalent to the market-clearing price. Market-clearing prices are important factors for informing BPA's power rates. AURORA was used as the primary tool for (a) estimating the forward price for the IOU REP Settlement benefits calculation for fiscal years (FY) 2008 and 2009, (b) estimating the uncertainty surrounding DSI payments and IOU REP Settlements benefits, (c) informing the secondary revenue forecast and (d) providing a price input used for the risk analysis. For information about the calculation of the secondary revenues, uncertainty regarding the IOU REP Settlement benefits and DSI payment uncertainty, and the risk run, see Risk Analysis Study WP-07-FS-BPA-04.

United States. Bonneville Power Administration.

2006-07-01T23:59:59.000Z

325

Random switching exponential smoothing and inventory forecasting  

Science Journals Connector (OSTI)

Abstract Exponential smoothing models represent an important prediction tool both in business and in macroeconomics. This paper provides the analytical forecasting properties of the random coefficient exponential smoothing model in the “multiple source of error” framework. The random coefficient state-space representation allows for switching between simple exponential smoothing and local linear trend. Therefore it enables controlling, in a flexible manner, the random changing dynamic behavior of the time series. The paper establishes the algebraic mapping between the state-space parameters and the implied reduced form ARIMA parameters. In addition, it shows that the parametric mapping allows overcoming the difficulties that are likely to emerge in estimating directly the random coefficient state-space model. Finally, it presents an empirical application comparing the forecast accuracy of the suggested model vis-à-vis other benchmark models, both in the ARIMA and in the exponential smoothing class. Using time series relative to wholesalers inventories in the USA, the out-of-sample results show that the reduced form of the random coefficient exponential smoothing model tends to be superior to its competitors.

Giacomo Sbrana; Andrea Silvestrini

2014-01-01T23:59:59.000Z

326

Voluntary Green Power Market Forecast through 2015  

SciTech Connect (OSTI)

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

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

2010-05-01T23:59:59.000Z

327

Expert Panel: Forecast Future Demand for Medical Isotopes  

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

Expert Panel: Expert Panel: Forecast Future Demand for Medical Isotopes March 1999 Expert Panel: Forecast Future Demand for Medical Isotopes September 25-26, 1998 Arlington, Virginia The Expert Panel ............................................................................................. Page 1 Charge To The Expert Panel........................................................................... Page 2 Executive Summary......................................................................................... Page 3 Introduction ...................................................................................................... Page 4 Rationale.......................................................................................................... Page 6 Economic Analysis...........................................................................................

328

A robust automatic phase-adjustment method for financial forecasting  

Science Journals Connector (OSTI)

In this work we present the robust automatic phase-adjustment (RAA) method to overcome the random walk dilemma for financial time series forecasting. It consists of a hybrid model composed of a qubit multilayer perceptron (QuMLP) with a quantum-inspired ... Keywords: Financial forecasting, Hybrid models, Quantum-inspired evolutionary algorithm, Qubit multilayer perceptron, Random walk dilemma

Ricardo de A. Araújo

2012-03-01T23:59:59.000Z

329

Short term forecasting of solar radiation based on satellite data  

E-Print Network [OSTI]

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

Heinemann, Detlev

330

FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS  

E-Print Network [OSTI]

resources resulting in water stress. Effective water management ­ a solution Supply side management Demand side management #12;Developing a regression equation based on cluster analysis for forecasting waterFORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS by Bruce Bishop Professor of Civil

Keller, Arturo A.

331

Impact of PV forecasts uncertainty in batteries management in microgrids  

E-Print Network [OSTI]

production forecast algorithm is used in combination with a battery schedule optimisation algorithm. The size. On the other hand if forecasted high production events do not occur, the cost of de- optimisation Energies and Energy Systems Sophia Antipolis, France andrea.michiorri@mines-paristech.fr Abstract

Paris-Sud XI, Université de

332

Revised 1997 Retail Electricity Price Forecast Principal Author: Ben Arikawa  

E-Print Network [OSTI]

Revised 1997 Retail Electricity Price Forecast March 1998 Principal Author: Ben Arikawa Electricity 1997 FORE08.DOC Page 1 CALIFORNIA ENERGY COMMISSION ELECTRICITY ANALYSIS OFFICE REVISED 1997 RETAIL ELECTRICITY PRICE FORECAST Introduction The Electricity Analysis Office of the California Energy Commission

333

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

334

A Transformed Lagged Ensemble Forecasting Technique for Increasing Ensemble Size  

E-Print Network [OSTI]

A Transformed Lagged Ensemble Forecasting Technique for Increasing Ensemble Size Andrew. R.Lawrence@ecmwf.int #12;Abstract An ensemble-based data assimilation approach is used to transform old en- semble. The impact of the transformations are propagated for- ward in time over the ensemble's forecast period

Hansens, Jim

335

Improving baseline forecasts in a 500-industry dynamic CGE model of the USA.  

E-Print Network [OSTI]

??MONASH-style CGE models have been used to generate baseline forecasts illustrating how an economy is likely to evolve through time. One application of such forecasts… (more)

Mavromatis, Peter George

2013-01-01T23:59:59.000Z

336

E-Print Network 3.0 - africa conditional forecasts Sample Search...  

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

Search Powered by Explorit Topic List Advanced Search Sample search results for: africa conditional forecasts Page: << < 1 2 3 4 5 > >> 1 COLORADO STATE UNIVERSITY FORECAST...

337

Uncertainty Reduction in Power Generation Forecast Using Coupled Wavelet-ARIMA  

SciTech Connect (OSTI)

In this paper, we introduce a new approach without implying normal distributions and stationarity of power generation forecast errors. In addition, it is desired to more accurately quantify the forecast uncertainty by reducing prediction intervals of forecasts. We use automatically coupled wavelet transform and autoregressive integrated moving-average (ARIMA) forecasting to reflect multi-scale variability of forecast errors. The proposed analysis reveals slow-changing “quasi-deterministic” components of forecast errors. This helps improve forecasts produced by other means, e.g., using weather-based models, and reduce forecast errors prediction intervals.

Hou, Zhangshuan; Etingov, Pavel V.; Makarov, Yuri V.; Samaan, Nader A.

2014-10-27T23:59:59.000Z

338

Better Buildings Alliance Equipment Performance Specifications  

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

BBA Equipment Performance BBA Equipment Performance Specifications William Goetzler Navigant Consulting william.goetzler@navigant.com (781) 270 8351 April 4, 2013 Better Buildings Alliance BTO Program Review 2 | Building Technologies Office eere.energy.gov Project Overview The BBA Performance Specifications project provides information and tools to help BBA members and other commercial building owners/operators specify and purchase high efficiency equipment. - Ensures targeted technologies are of interest to end users and manufacturers

339

Better Buildings Alliance Equipment Performance Specifications  

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

BBA Equipment Performance BBA Equipment Performance Specifications William Goetzler Navigant Consulting william.goetzler@navigant.com (781) 270 8351 April 4, 2013 Better Buildings Alliance BTO Program Review 2 | Building Technologies Office eere.energy.gov Project Overview The BBA Performance Specifications project provides information and tools to help BBA members and other commercial building owners/operators specify and purchase high efficiency equipment. - Ensures targeted technologies are of interest to end users and manufacturers

340

In-Place Cleaning of Milk Pasteurizing Equipment.  

E-Print Network [OSTI]

proced- ure. In the study reported in this bulletin the critical part of the vat system used for pasteuri- zation was the preheater in which the tempera- ture gradient was high enough to cause a milk stone deposit. In-place cleaning and sanitizing... . In heated equipment surfaces. Such films been referred to for many years as "milk - = '7 Following the cleaning process, there I- ,, be a sanitizing treatment that will insure " limum of bacteriological contamination in ;/ - icceeding milk processed...

Potter, F. E.; Moore, A. V.

1953-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast year equipment" 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

Solar Equipment Certification | Department of Energy  

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

Solar Equipment Certification Solar Equipment Certification Solar Equipment Certification < Back Eligibility Commercial Construction Installer/Contractor Residential Savings Category Heating & Cooling Commercial Heating & Cooling Solar Heating Water Heating Program Info State Minnesota Program Type Equipment Certification Provider Minnesota Department of Commerce Minnesota law requires that all active solar space-heating and water-heating systems, sold, offered for sale, or installed on residential and commercial buildings in the state meet Solar Rating and Certification Corporation (SRCC) standards. Specifically, the rule references SRCC's "Operating Guidelines" pertaining to collector certification and system certification: OG-100 and OG-300, respectively. Local building officials

342

G129 S129 Equipment List Windbreaker  

E-Print Network [OSTI]

(optional) Water shoes (tevas or old tennis shoes) Gaitors (optional) COURSE EQUIPMENT*: Pocket or wrist operated) Bug Spray Deck of cards, musical instrument, Frisbee, etc (optional) * Textbooks should

Polly, David

343

PPP Equipment Corporation | Open Energy Information  

Open Energy Info (EERE)

Name: PPP Equipment Corporation Sector: Solar Product: PPP-E designs, produces and markets Chemical Vapor Deposition (CVD) reactors and converter systems producing high-purity...

344

Healthcare Energy: Spotlight on Medical Equipment  

Broader source: Energy.gov [DOE]

The Building Technologies Office conducted a healthcare energy end-use monitoring project for two sites. Read details about large medical imaging equipment energy results.

345

Best Management Practice #11: Commercial Kitchen Equipment |...  

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

savings. Water-using commercial kitchen equipment include pre-rinse spray valves, wash tanks and sinks, commercial dishwashers, food steamers, steam kettles, commercial ice...

346

Equips Nucleares SA | Open Energy Information  

Open Energy Info (EERE)

SA Place: Madrid, Spain Zip: 28006 Sector: Services Product: ENSA is a Spanish nuclear components and nuclear services supply company. References: Equips Nucleares, SA1...

347

MOV surge arresters: improved substation equipment protection  

SciTech Connect (OSTI)

The introduction of metal-oxide-varistor (MOV) surge arresters has added a new dimension to substation equipment protection. Through the optimal use of these arresters, it is possible to lower surge arrester ratings and thereby improve protective margins, resulting in a possible reduction of the insulation levels (BIL) of substation equipment. This reduction in BIL can lead to a significant reduction in the cost of substation equipment. General methods are delineated for selecting MOV surge arresters for substation protection and the resulting effect on substation equipment insulation levels.

Niebuhr, W.D.

1985-07-01T23:59:59.000Z

348

Reduce Radiation Losses from Heating Equipment  

Broader source: Energy.gov [DOE]

This tip sheet describes how to save process heating energy and costs by reducing expensive heat losses from industrial heating equipment, such as furnaces.

349

WEAR RESISTANT ALLOYS FOR COAL HANDLING EQUIPMENT  

E-Print Network [OSTI]

Proceedings of the Conference on Coal Feeding Systems, HeldWear Resistant Alloys for Coal Handling Equipment", proposalWear Resistant Alloys for Coal Handling Equi pment". The

Bhat, M.S.

2011-01-01T23:59:59.000Z

350

Computers, Electronics and Electrical Equipment (2010 MECS) ...  

Energy Savers [EERE]

Electronics and Electrical Equipment More Documents & Publications MECS 2006 - Computer, Electronics and Appliances Cement (2010 MECS) Glass and Glass Products (2010 MECS)...

351

Forecasting the Dark Energy Measurement with Baryon Acoustic Oscillations: Prospects for the LAMOST surveys  

E-Print Network [OSTI]

The Large Area Multi-Object Spectroscopic Telescope (LAMOST) is a dedicated spectroscopic survey telescope being built in China, with an effective aperture of 4 meters and equiped with 4000 fibers. Using the LAMOST telescope, one could make redshift survey of the large scale structure (LSS). The baryon acoustic oscillation (BAO) features in the LSS power spectrum provide standard rulers for measuring dark energy and other cosmological parameters. In this paper we investigate the meaurement precision achievable for a few possible surveys: (1) a magnitude limited survey of all galaxies, (2) a survey of color selected red luminous galaxies (LRG), and (3) a magnitude limited, high density survey of zsurvey, we use the halo model to estimate the bias of the sample, and calculate the effective volume. We then use the Fisher matrix method to forecast the error on the dark energy equation of state and other cosmological parameters for different survey parameters. In a few cases we also use the Markov Chain Monte Carlo (MCMC) method to make the same forecast as a comparison. The fiber time required for each of these surveys is also estimated. These results would be useful in designing the surveys for LAMOST.

Xin Wang; Xuelei Chen; Zheng Zheng; Fengquan Wu; Pengjie Zhang; Yongheng Zhao

2008-09-17T23:59:59.000Z

352

Safeguarding Equipment and Protecting Employees from  

E-Print Network [OSTI]

Safeguarding Equipment and Protecting Employees from Amputations www.osha.gov Small Business Safety of Labor for Occupational Safety and Health #12;Safeguarding Equipment and Protecting Employees from Activities 9 Hazard Analysis 9 Controlling Amputation Hazards 9 Safeguarding Machinery 9 Primary Safeguarding

Colton, Jonathan S.

353

Electrical Equipment Inspection Program Electrical Safety  

E-Print Network [OSTI]

Electrical Equipment Inspection Program Electrical Safety SLAC-I-730-0A11A-001-R003 23 March 2005 Document Title: Electrical Equipment Inspection Program Original Publication Date: 19 January 2005 Revised Publication Date: 23 March 2005 (updated 29 November 2010) Department: Electrical Safety Document Number: SLAC

Wechsler, Risa H.

354

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)

355

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

356

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

357

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.

358

Volatility forecasting with smooth transition exponential smoothing  

Science Journals Connector (OSTI)

Adaptive exponential smoothing methods allow smoothing parameters to change over time, in order to adapt to changes in the characteristics of the time series. This paper presents a new adaptive method for predicting the volatility in financial returns. It enables the smoothing parameter to vary as a logistic function of user-specified variables. The approach is analogous to that used to model time-varying parameters in smooth transition generalised autoregressive conditional heteroskedastic (GARCH) models. These non-linear models allow the dynamics of the conditional variance model to be influenced by the sign and size of past shocks. These factors can also be used as transition variables in the new smooth transition exponential smoothing (STES) approach. Parameters are estimated for the method by minimising the sum of squared deviations between realised and forecast volatility. Using stock index data, the new method gave encouraging results when compared to fixed parameter exponential smoothing and a variety of GARCH models.

James W. Taylor

2004-01-01T23:59:59.000Z

359

Incorporating Forecast Uncertainty in Utility Control Center  

SciTech Connect (OSTI)

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

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

2014-07-09T23:59:59.000Z

360

Definition: Equipment Health Sensor | Open Energy Information  

Open Energy Info (EERE)

Sensor Sensor Jump to: navigation, search Dictionary.png Equipment Health Sensor Monitoring devices that automatically measure and communicate equipment characteristics that are related to the 'health' and maintenance of the equipment. These characteristics can include, but are not limited to temperature, dissolved gas, and loading. These devices can also automatically generate alarm signals if the equipment characteristics reach critical or dangerous levels.[1] Related Terms sustainability References ↑ [www.smartgrid.gov/sites/default/files/pdfs/description_of_assets.pdf SmartGrid.gov 'Description of Assets'] An LikeLike UnlikeLike You like this.Sign Up to see what your friends like. inline Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Equipment_Health_Sensor&oldid=502526

Note: This page contains sample records for the topic "forecast year equipment" 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

Registration, Force Protection Equipment Demonstration - May 2009 |  

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

Registration, Force Protection Equipment Demonstration - May 2009 Registration, Force Protection Equipment Demonstration - May 2009 Registration, Force Protection Equipment Demonstration - May 2009 May 2009 Demonstrating commercially availale physical security/force protection soultions around the world The bombing of Khobar Towers in Saudi Arabia on 25 June 1996 revealed the need for continal vigilance and protection againist terrorist forces intent on harming US personnel and interests. The Chairman if the Joint Chiefs of Staff directed the Services to investigate COTS equipments solutions for physical security/force protection needs. The Office of the Under Secretary of Defense for Acquistion, Technology, and Logistics (OUSD {at&l}) tasked the Office of the US Army Product Manager, force Protection Systems (PM-FPS), to coordiante and facilitate a Force Protection Equipment

362

Office Buildings - End-Use Equipment  

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

End-Use Equipment End-Use Equipment The types of space heating equipment used in office buildings were similar to those of the commercial buildings sector as a whole (Table 8 and Figure 5). Furnaces were most used followed by packaged heating systems. Individual space heaters were third-most used but were primarily used to supplement the building's main heating system. Boilers and district heat systems were more often used in larger buildings. Table 8. Types of Heating Equipment Used in Office Buildings, 2003 Number of Buildings (thousand) Total Floorspace (million square feet) All Buildings* All Office Buildings All Buildings* All Office Buildings All Buildings 4,645 824 64,783 12,208 All Buildings with Space Heating 3,982 802 60,028 11,929 Heating Equipment (more than one may apply)

363

CVD Equipment Corp | Open Energy Information  

Open Energy Info (EERE)

CVD Equipment Corp CVD Equipment Corp Jump to: navigation, search Name CVD Equipment Corp Place Ronkonkoma, New York Zip 11779 Sector Solar Product New York-based maker of chemical vapour deposition process equipment. This equipment is used in the manufacture of solar and semiconductor fabrication. Coordinates 40.81122°, -73.098744° 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":40.81122,"lon":-73.098744,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

364

Definition: Disturbance Monitoring Equipment | Open Energy Information  

Open Energy Info (EERE)

Disturbance Monitoring Equipment Disturbance Monitoring Equipment Jump to: navigation, search Dictionary.png Disturbance Monitoring Equipment Devices capable of monitoring and recording system data pertaining to a Disturbance. Such devices include the following categories of recorders: Sequence of event recorders which record equipment response to the event., Fault recorders, which record actual waveform data replicating the system primary voltages and currents. This may include protective relays., Dynamic Disturbance Recorders (DDRs), which record incidents that portray power system behavior during dynamic events such as low-frequency (0.1 Hz - 3 Hz) oscillations and abnormal frequency or voltage excursions. Phasor Measurement Units and any other equipment that meets the functional requirements of DMEs may qualify as DMEs.[1]

365

Laboratory Equipment Donation Program - About Us  

Office of Scientific and Technical Information (OSTI)

About LEDP About LEDP The Laboratory Equipment Donation Program (LEDP), formerly the Energy-Related Laboratory Equipment (ERLE) Grant Program, was established by the United States Department of Energy (DOE) to grant surplus and available used energy-related laboratory equipment to universities and colleges in the United States for use in energy oriented educational programs. This grant program is sponsored by the Office of Workforce Development for Teachers and Scientists (WDTS). The listing of equipment available through LEDP is updated as new equipment is identified. It is available at no cost for a limited time and is granted on a first-received qualified application basis. Specific items may be recalled for DOE use and become unavailable through the program after the

366

Experimental Equipment | Stanford Synchrotron Radiation Lightsource  

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

Equipment Equipment SSRL plans the distribution of its limited equipment on the basis of the information supplied on the Beam Time Request Form and the User Support Requirements Form. Please make sure to state all of your needs. Standard X-Ray Station Equipment Standard equipment to be found on an x-ray station includes: (1 ea.) Small and large ionization chambers (1) Exit slits (1) X-Y sample positioner (3) Keithly 427 current-to-voltage amplifier TEK 2215 60 MHZ 2 channel scope Voltage-to-frequency converter (3 channels) (1) Fluke high voltage power supply (1) Kinetic Systems hex scaler (1) Kinetic Systems up-down presettable counter (1) Ortec real-time clock (2) Joerger stepping motor controller DSP Micro VAX or Kinetic Systems G.I./CAMAC crate controller (1) Standard Engineering Corporation CAMAC power supply

367

Automatic monitoring of vibration welding equipment  

DOE Patents [OSTI]

A vibration welding system includes vibration welding equipment having a welding horn and anvil, a host device, a check station, and a robot. The robot moves the horn and anvil via an arm to the check station. Sensors, e.g., temperature sensors, are positioned with respect to the welding equipment. Additional sensors are positioned with respect to the check station, including a pressure-sensitive array. The host device, which monitors a condition of the welding equipment, measures signals via the sensors positioned with respect to the welding equipment when the horn is actively forming a weld. The robot moves the horn and anvil to the check station, activates the check station sensors at the check station, and determines a condition of the welding equipment by processing the received signals. Acoustic, force, temperature, displacement, amplitude, and/or attitude/gyroscopic sensors may be used.

Spicer, John Patrick; Chakraborty, Debejyo; Wincek, Michael Anthony; Wang, Hui; Abell, Jeffrey A; Bracey, Jennifer; Cai, Wayne W

2014-10-14T23:59:59.000Z

368

Universal null DTE (data terminal equipment)  

DOE Patents [OSTI]

A communication device in the form of data terminal equipment permits two data communication equipments, each having its own master clock and operating at substantially the same nominal clock rate, to communicate with each other in a multi-segment circuit configuration of a general communication network even when phase or frequency errors exist between the two clocks. Data transmitted between communication equipments of two segments of the communication network is buffered. A variable buffer fill circuit is provided to fill the buffer to a selectable extent prior to initiation of data output clocking. Selection switches are provided to select the degree of buffer preload. A dynamic buffer fill circuit may be incorporated for automatically selecting the buffer fill level as a function of the difference in clock frequencies of the two equipments. Controllable alarm circuitry is provided for selectively generating an underflow or an overflow alarm to one or both of the communicating equipments. 5 figs.

George, M.; Pierson, L.G.; Wilkins, M.E.

1987-11-09T23:59:59.000Z

369

Definition: Equipment Condition Monitor | Open Energy Information  

Open Energy Info (EERE)

Condition Monitor Condition Monitor Jump to: navigation, search Dictionary.png Equipment Condition Monitor A monitoring device that automatically measures and communicates equipment characteristics that are related to the "health" and maintenance of the equipment. These characteristics can include, but are not limited to temperature, dissolved gas, and loading. These devices can automatically generate alarm signals if conditions exceed preset thresholds.[1] Related Terms sustainability References ↑ https://www.smartgrid.gov/category/technology/equipment_condition_monitor [[C LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ategory: Smart Grid Definitions|Template:BASEPAGENAME]] Retrieved from "http://en.openei.org/w/index.php?title=Definition:Equipment_Condition_Monitor&oldid=502601"

370

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

371

Coal production forecast and low carbon policies in China  

Science Journals Connector (OSTI)

With rapid economic growth and industrial expansion, China consumes more coal than any other nation. Therefore, it is particularly crucial to forecast China's coal production to help managers make strategic decisions concerning China's policies intended to reduce carbon emissions and concerning the country's future needs for domestic and imported coal. Such decisions, which must consider results from forecasts, will have important national and international effects. This article proposes three improved forecasting models based on grey systems theory: the Discrete Grey Model (DGM), the Rolling DGM (RDGM), and the p value RDGM. We use the statistical data of coal production in China from 1949 to 2005 to validate the effectiveness of these improved models to forecast the data from 2006 to 2010. The performance of the models demonstrates that the p value RDGM has the best forecasting behaviour over this historical time period. Furthermore, this paper forecasts coal production from 2011 to 2015 and suggests some policies for reducing carbon and other emissions that accompany the rise in forecasted coal production.

Jianzhou Wang; Yao Dong; Jie Wu; Ren Mu; He Jiang

2011-01-01T23:59:59.000Z

372

National forecast for geothermal resource exploration and development with techniques for policy analysis and resource assessment  

SciTech Connect (OSTI)

The backgrund, structure and use of modern forecasting methods for estimating the future development of geothermal energy in the United States are documented. The forecasting instrument may be divided into two sequential submodels. The first predicts the timing and quality of future geothermal resource discoveries from an underlying resource base. This resource base represents an expansion of the widely-publicized USGS Circular 790. The second submodel forecasts the rate and extent of utilization of geothermal resource discoveries. It is based on the joint investment behavior of resource developers and potential users as statistically determined from extensive industry interviews. It is concluded that geothermal resource development, especially for electric power development, will play an increasingly significant role in meeting US energy demands over the next 2 decades. Depending on the extent of R and D achievements in related areas of geosciences and technology, expected geothermal power development will reach between 7700 and 17300 Mwe by the year 2000. This represents between 8 and 18% of the expected electric energy demand (GWh) in western and northwestern states.

Cassel, T.A.V.; Shimamoto, G.T.; Amundsen, C.B.; Blair, P.D.; Finan, W.F.; Smith, M.R.; Edeistein, R.H.

1982-03-31T23:59:59.000Z

373

Measuring the forecasting accuracy of models: evidence from industrialised countries  

Science Journals Connector (OSTI)

This paper uses the approach suggested by Akrigay (1989), Tse and Tung (1992) and Dimson and Marsh (1990) to examine the forecasting accuracy of stock price index models for industrialised markets. The focus of this paper is to compare the Mean Absolute Percentage Error (MAPE) of three models, that is, the Random Walk model, the Single Exponential Smoothing model and the Conditional Heteroskedastic model with the MAPE of the benchmark Naive Forecast 1 case. We do not evidence that a single model to provide better forecasting accuracy results compared to other models.

Athanasios Koulakiotis; Apostolos Dasilas

2009-01-01T23:59:59.000Z

374

Solar irradiance forecasting at multiple time horizons and novel methods to evaluate uncertainty  

E-Print Network [OSTI]

Solar irradiance data . . . . . . . . . . . . .Accuracy . . . . . . . . . . . . . . . . . Solar Resourcev Uncertainty In Solar Resource: Forecasting

Marquez, Ricardo

2012-01-01T23:59:59.000Z

375

18 Bureau of Meteorology Annual Report 201314 Hazards, warnings and forecasts  

E-Print Network [OSTI]

and numerical prediction models. #12;19Bureau of Meteorology Annual Report 2013­14 2 Performance Performance programs: · Weather forecasting services; · Flood forecasting and warning services; · Hazard prediction, Warnings and Forecasts portfolio provides a range of forecast and warning services covering weather, ocean

Greenslade, Diana

376

On the forecasting of the challenging world future scenarios  

Science Journals Connector (OSTI)

Logistic and power law methodologies for both retrospective and prospective analyses of extended time series describing evolutionary growth processes, in environments with finite resources, are confronted. While power laws may eventually apply only to the early stages of said growth process, the Allee logistic model seems applicable over the entire span of a long range process. On applying the Allee logistic model to both the world population and the world gross domestic product time series, from 1 to 2008 AD, a projection was obtained that along the next few decades the world should experience a new economic boom phase with the world GDP peaking around the year 2020 and proceeding from then on towards a saturation value of about 142 trillion international dollars, while the world population should reach 8.9 billion people by 2050. These results were then used to forecast the behavior of the supply and consumption of energy and food, two of the main commodities that drive the world system. Our findings suggest that unless the currently prevailing focus on economic growth is changed into that of sustainable prosperity, human society may run into a period of serious economical and social struggles with unpredictable political consequences.

Luiz C.M. Miranda; C.A.S. Lima

2011-01-01T23:59:59.000Z

377

The Power Load Forecasting by Kernel PCA  

Science Journals Connector (OSTI)

We use one year’s subset to train the Support Vector Machines (SVM) and the next year’s data was used for testing with Kernel Principal Components Analysis (KPCA). This is clearly not optimal for a non-station...

Fang-Tsung Liu; Chiung-Hsing Chen…

2010-01-01T23:59:59.000Z

378

FY 1996 solid waste integrated life-cycle forecast container summary volume 1 and 2  

SciTech Connect (OSTI)

For the past six years, a waste volume forecast has been collected annually from onsite and offsite generators that currently ship or are planning to ship solid waste to the Westinghouse Hanford Company`s Central Waste Complex (CWC). This document provides a description of the containers expected to be used for these waste shipments from 1996 through the remaining life cycle of the Hanford Site. In previous years, forecast data have been reported for a 30-year time period; however, the life-cycle approach was adopted this year to maintain consistency with FY 1996 Multi-Year Program Plans. This document is a companion report to the more detailed report on waste volumes: WHC-EP0900, FY 1996 Solid Waste Integrated Life-Cycle Forecast Volume Summary. Both of these documents are based on data gathered during the FY 1995 data call and verified as of January, 1996. These documents are intended to be used in conjunction with other solid waste planning documents as references for short and long-term planning of the WHC Solid Waste Disposal Division`s treatment, storage, and disposal activities over the next several decades. This document focuses on the types of containers that will be used for packaging low-level mixed waste (LLMW) and transuranic waste (both non-mixed and mixed) (TRU(M)). The major waste generators for each waste category and container type are also discussed. Containers used for low-level waste (LLW) are described in Appendix A, since LLW requires minimal treatment and storage prior to onsite disposal in the LLW burial grounds. The FY 1996 forecast data indicate that about 100,900 cubic meters of LLMW and TRU(M) waste are expected to be received at the CWC over the remaining life cycle of the site. Based on ranges provided by the waste generators, this baseline volume could fluctuate between a minimum of about 59,720 cubic meters and a maximum of about 152,170 cubic meters.

Valero, O.J.

1996-04-23T23:59:59.000Z

379

Laboratory Equipment Donation Program - On-Line Application  

Office of Scientific and Technical Information (OSTI)

Application Application Please do not leave any required field blank; if no information is available, enter an "X". * denotes required fields. *Item Control Number: Please verify the Item Control Number School Information (Note: LEDP Eligibility Guidelines must be met and verified below) *School Name: *Department Name: *Department Head Name: Applicant's Information *First Name: Middle Initial: *Last Name: *Address: Address 2: Building: *City: *State: *Zip: *Telephone Number: (###) ###-#### Fax Number: (###) ###-#### *E-mail Address: *Method of Shipment: Account Number: Purchase Order: *Shipping Address: Shipping Address 2: *City, State, & Zip: *Description of how equipment will be used: *Description of any equipment granted by the LEDP Program in the last 3 years: *Do you agree with the following Department's Certifications: LEDP GuidelinesNo Yes Drug-Free CertificationNo Yes

380

Appliances and Commercial Equipment Standards: Guidance  

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

Office Office HOME ABOUT ENERGY EFFICIENT TECHNOLOGIES RESIDENTIAL BUILDINGS COMMERCIAL BUILDINGS APPLIANCE & EQUIPMENT STANDARDS BUILDING ENERGY CODES EERE » Building Technologies Office » Appliances & Equipment Standards About Standards & Test Procedures Implementation, Certification & Enforcement Rulemakings & Notices Further Guidance ENERGY STAR® Guidance and Frequently Asked Questions This webpage is designed to provide guidance and answer Frequently Asked Questions (FAQs) on the U.S. Department of Energy's appliance standards program. Guidance types span all covered products and covered equipment and cover such topics as: definitions, scope of coverage, conservation standards, test procedures, certification, Compliance and Certification Management System (CCMS), and enforcement. This website offers users an

Note: This page contains sample records for the topic "forecast year equipment" 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

Long Length Contaminated Equipment Maintenance Plan  

SciTech Connect (OSTI)

The purpose of this document is to provide the maintenance requirements of the Long Length Contaminated Equipment (LLCE) trailers and provide a basis for the maintenance frequencies selected. This document is applicable to the LLCE Receiver trailer and Transport trailer assembled by Mobilized Systems Inc. (MSI). Equipment used in conjunction with, or in support of, these trailers is not included. This document does not provide the maintenance requirements for checkout and startup of the equipment following the extended lay-up status which began in the mid 1990s. These requirements will be specified in other documentation.

ESVELT, C.A.

2000-02-01T23:59:59.000Z

382

NAFTA opportunities: Electrical equipment and power generation  

SciTech Connect (OSTI)

The North American Free Trade Agreement (NAFTA) provides significant commercial opportunities in Mexico and Canada for the United States electric equipment and power generation industries, through increased goods and services exports to the Federal Electricity Commission (CFE) and through new U.S. investment in electricity generation facilities in Mexico. Canada and Mexico are the United States' two largest export markets for electrical equipment with exports of $1.53 billion and $1.51 billion, respectively, in 1992. Canadian and Mexican markets represent approximately 47 percent of total U.S. exports of electric equipment. The report presents an economic analysis of the section.

Not Available

1993-01-01T23:59:59.000Z

383

LNG to the year 2000  

SciTech Connect (OSTI)

By 2000, about 190 MM metric-tpy of LNG will be moving in world trade, with Asia-Pacific as the dominant producer By the year 2000, approximately 190 million metric tons per year of LNG will be moving in worldwide trade. Production of LNG will be spread throughout most of the world, with Asia-Pacific as the dominant producer. LNG will be delivered only to the heavily industrialized areas of North America, Europe and Asia-Pacific. The success of any LNG project will be dependent on its individual economics, market needs, financial planning, and governmental permit processes. We hope industry will be able to put together the LNG projects required to meet the quanitities of production forecast here for the year 2000.

Davenport, S.T.

1984-04-01T23:59:59.000Z

384

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

385

Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory  

Gasoline and Diesel Fuel Update (EIA)

Forecasting Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory Levels MICHAEL YE, ∗ JOHN ZYREN, ∗∗ AND JOANNE SHORE ∗∗ Abstract This paper presents a short-term monthly forecasting model of West Texas Intermedi- ate crude oil spot price using OECD petroleum inventory levels. Theoretically, petroleum inventory levels are a measure of the balance, or imbalance, between petroleum production and demand, and thus provide a good market barometer of crude oil price change. Based on an understanding of petroleum market fundamentals and observed market behavior during the post-Gulf War period, the model was developed with the objectives of being both simple and practical, with required data readily available. As a result, the model is useful to industry and government decision-makers in forecasting price and investigat- ing the impacts of changes on price, should inventories,

386

Adaptive sampling and forecasting with mobile sensor networks  

E-Print Network [OSTI]

This thesis addresses planning of mobile sensor networks to extract the best information possible out of the environment to improve the (ensemble) forecast at some verification region in the future. To define the information ...

Choi, Han-Lim

2009-01-01T23:59:59.000Z

387

Pacific Adaptation Strategy Assistance Program Dynamical Seasonal Forecasting  

E-Print Network [OSTI]

Pacific Adaptation Strategy Assistance Program Dynamical Seasonal Forecasting Seasonal Prediction · POAMA · Issues for future Outline #12;Pacific Adaptation Strategy Assistance Program Major source Adaptation Strategy Assistance Program El Nino Mean State · Easterlies westward surface current upwelling

Lim, Eun-pa

388

Forecasting Volatility in Stock Market Using GARCH Models  

E-Print Network [OSTI]

Forecasting volatility has held the attention of academics and practitioners all over the world. The objective for this master's thesis is to predict the volatility in stock market by using generalized autoregressive ...

Yang, Xiaorong

2008-01-01T23:59:59.000Z

389

Initial conditions estimation for improving forecast accuracy in exponential smoothing  

Science Journals Connector (OSTI)

In this paper we analyze the importance of initial conditions in exponential smoothing models on forecast errors and prediction intervals. We work with certain exponential smoothing models, namely Holt’s additive...

E. Vercher; A. Corberán-Vallet; J. V. Segura; J. D. Bermúdez

2012-07-01T23:59:59.000Z

390

A Bayesian approach to forecast intermittent demand for seasonal products  

Science Journals Connector (OSTI)

This paper investigates the forecasting of a large fluctuating seasonal demand prior to peak sale season using a practical time series, collected from the US Census Bureau. Due to the extreme natural events (e.g. excessive snow fall and calamities), sales may not occur, inventory may not replenish and demand may set off unrecorded during the peak sale season. This characterises a seasonal time series to an intermittent category. A seasonal autoregressive integrated moving average (SARIMA), a multiplicative exponential smoothing (M-ES) and an effective modelling approach using Bayesian computational process are analysed in the context of seasonal and intermittent forecast. Several forecast error indicators and a cost factor are used to compare the models. In cost factor analysis, cost is measured optimally using dynamic programming model under periodic review policy. Experimental results demonstrate that Bayesian model performance is much superior to SARIMA and M-ES models, and efficient to forecast seasonal and intermittent demand.

Mohammad Anwar Rahman; Bhaba R. Sarker

2012-01-01T23:59:59.000Z

391

Review/Verify Strategic Skills Needs/Forecasts/Future Mission...  

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

ReviewVerify Strategic Skills NeedsForecastsFuture Mission Shifts Annual Lab Plan (1-10 yrs) Fermilab Strategic Agenda (2-5 yrs) Sector program Execution Plans (1-3...

392

A Parameter for Forecasting Tornadoes Associated with Landfalling Tropical Cyclones  

Science Journals Connector (OSTI)

The authors develop a statistical guidance product, the tropical cyclone tornado parameter (TCTP), for forecasting the probability of one or more tornadoes during a 6-h period that are associated with landfalling tropical cyclones affecting the ...

Matthew J. Onderlinde; Henry E. Fuelberg

2014-10-01T23:59:59.000Z

393

Wind Power Forecasting: State-of-the-Art 2009  

E-Print Network [OSTI]

Wind Power Forecasting: State-of-the-Art 2009 ANL/DIS-10-1 Decision and Information Sciences about Argonne and its pioneering science and technology programs, see www.anl.gov. #12;Wind Power

Kemner, Ken

394

2007 National Hurricane Center Forecast Verification Report James L. Franklin  

E-Print Network [OSTI]

storms 17 4. Genesis Forecasts 17 5. Summary and Concluding Remarks 18 a. Atlantic Summary 18 statistical models, provided the best intensity guidance at each time period. The 2007 season marked the first

395

Recently released EIA report presents international forecasting data  

SciTech Connect (OSTI)

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

NONE

1995-05-01T23:59:59.000Z

396

FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007  

E-Print Network [OSTI]

......................................................................... 11 3. Demand Side Management (DSM) Program Impacts................................... 13 4. Demand Sylvia Bender Manager DEMAND ANALYSIS OFFICE Scott W. Matthews Chief Deputy Director B.B. Blevins Forecast Methods and Models ....................................................... 14 5. Demand-Side

397

Information-Based Skill Scores for Probabilistic Forecasts  

Science Journals Connector (OSTI)

The information content, that is, the predictive capability, of a forecast system is often quantified with skill scores. This paper introduces two ranked mutual information skill (RMIS) scores, RMISO and RMISY, for the evaluation of probabilistic ...

Bodo Ahrens; André Walser

2008-01-01T23:59:59.000Z

398

A methodology for forecasting carbon dioxide flooding performance  

E-Print Network [OSTI]

A methodology was developed for forecasting carbon dioxide (CO2) flooding performance quickly and reliably. The feasibility of carbon dioxide flooding in the Dollarhide Clearfork "AB" Unit was evaluated using the methodology. This technique is very...

Marroquin Cabrera, Juan Carlos

2012-06-07T23:59:59.000Z

399

Evolutionary Optimization of an Ice Accretion Forecasting System  

Science Journals Connector (OSTI)

The ability to model and forecast accretion of ice on structures is very important for many industrial sectors. For example, studies conducted by the power transmission industry indicate that the majority of failures are caused by icing on ...

Pawel Pytlak; Petr Musilek; Edward Lozowski; Dan Arnold

2010-07-01T23:59:59.000Z

400

Diagnosing the Origin of Extended-Range Forecast Errors  

Science Journals Connector (OSTI)

Experiments with the ECMWF model are carried out to study the influence that a correct representation of the lower boundary conditions, the tropical atmosphere, and the Northern Hemisphere stratosphere would have on extended-range forecast skill ...

T. Jung; M. J. Miller; T. N. Palmer

2010-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast year equipment" 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

Application of an Improved SVM Algorithm for Wind Speed Forecasting  

Science Journals Connector (OSTI)

An improved Support Vector Machine (SVM) algorithm is used to forecast wind in Doubly Fed Induction Generator (DFIG) wind power system without aerodromometer. The ... Validation (CV) method. Finally, 3.6MW DFIG w...

Huaqiang Zhang; Xinsheng Wang; Yinxiao Wu

2011-01-01T23:59:59.000Z

402

Research on Development Trends of Power Load Forecasting Methods  

Science Journals Connector (OSTI)

In practical problem, number of samples is often limited, for complex issues such as power load forecasting, generally available historical data and information of impact factor are very ... support vector mechan...

Litong Dong; Jun Xu; Haibo Liu; Ying Guo

2014-01-01T23:59:59.000Z

403

Representing Forecast Error in a Convection-Permitting Ensemble System  

Science Journals Connector (OSTI)

Ensembles provide an opportunity to greatly improve short-term prediction of local weather hazards, yet generating reliable predictions remain a significant challenge. In particular, convection-permitting ensemble forecast systems (CPEFSs) have ...

Glen S. Romine; Craig S. Schwartz; Judith Berner; Kathryn R. Fossell; Chris Snyder; Jeff L. Anderson; Morris L. Weisman

2014-12-01T23:59:59.000Z

404

Weather Research and Forecasting Model 2.2 Documentation  

E-Print Network [OSTI]

................................................................................................. 20 3.1.2 Integrate's Flow of ControlWeather Research and Forecasting Model 2.2 Documentation: A Step-by-step guide of a Model Run .......................................................................................................................... 19 3.1 The Integrate Subroutine

Sadjadi, S. Masoud

405

Network Bandwidth Utilization Forecast Model on High Bandwidth Network  

SciTech Connect (OSTI)

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

Yoo, Wucherl; Sim, Alex

2014-07-07T23:59:59.000Z

406

Wind Speed Forecasting Using a Hybrid Neural-Evolutive Approach  

Science Journals Connector (OSTI)

The design of models for time series prediction has found a solid foundation on statistics. Recently, artificial neural networks have been a good choice as approximators to model and forecast time series. Designing a neural network that provides a good ...

Juan J. Flores; Roberto Loaeza; Héctor Rodríguez; Erasmo Cadenas

2009-11-01T23:59:59.000Z

407

A model for short term electric load forecasting  

E-Print Network [OSTI]

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

Tigue, John Robert

1975-01-01T23:59:59.000Z

408

Radiation fog forecasting using a 1-dimensional model  

E-Print Network [OSTI]

measuring site (Molly Caren), the soil moisture measuring site (Wilmington), and (b) location of the forecast site (Ohio River Basin near Cincinnati including Lunken airport) . . 23 3 An example of a COBEL configuration file for 25 August 1996, showing... measuring site (Molly Caren), the soil moisture measuring site (Wilmington), and (b) location of the forecast site (Ohio River Basin near Cincinnati including Lunken airport) . . 23 3 An example of a COBEL configuration file for 25 August 1996, showing...

Peyraud, Lionel

2012-06-07T23:59:59.000Z

409

Definition: Equipment Rating | Open Energy Information  

Open Energy Info (EERE)

Rating Rating Jump to: navigation, search Dictionary.png Equipment Rating The maximum and minimum voltage, current, frequency, real and reactive power flows on individual equipment under steady state, short-circuit and transient conditions, as permitted or assigned by the equipment owner.[1] Also Known As Standard current ratings Related Terms reactive power, smart grid References ↑ Glossary of Terms Used in Reliability Standards An i LikeLike UnlikeLike You like this.Sign Up to see what your friends like. nline Glossary Definition Retrieved from "http://en.openei.org/w/index.php?title=Definition:Equipment_Rating&oldid=502535" Categories: Definitions ISGAN Definitions What links here Related changes Special pages Printable version Permanent link Browse properties

410

Piedmont Natural Gas - Residential Equipment Efficiency Program |  

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

Piedmont Natural Gas - Residential Equipment Efficiency Program Piedmont Natural Gas - Residential Equipment Efficiency Program Piedmont Natural Gas - Residential Equipment Efficiency Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Appliances & Electronics Water Heating Maximum Rebate 2 rebates per household Program Info State North Carolina Program Type Utility Rebate Program Rebate Amount High-Efficiency Furnace: $175 Tankless Water Heater: $150 Tank Water Heater: $50 Provider Gas Technology and Energy Services Piedmont Natural Gas offers rebates on high-efficiency natural gas tankless water heaters, tank water heaters and furnaces. Customers on the 101-Residential Service rate are eligible for these rebates. Rebates are only provided for qualifying natural gas equipment that is installed to

411

Laboratory Equipment Donation Program - Home Page  

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

U.S. Department of Energy U.S. Department of Energy Laboratory Equipment Donation Program Home About LEDP FAQ Application Site Index Contact Us Administrative Login SEARCH: Go! view equipment list LEDP News Latest Equipment Added as of January 08, 2014: 1. DATA HANDLING SYSTEM 89514133530195 2. METER, VOLT 89514133530179 3. RECORDER, STRIP 89514133530184 4. RECORDER, STRIP 89514133530185 5. SCINTILLATOR STRIPS, 1.9 CM X 1.5 CM X 96 CM 89514133530188 Quick Links What type of equipment is available? Who is eligible to apply? How long will it take to find out if my application has been approved? Who is responsible for arranging and paying for shipping? RSS Get Widgets Bookmark and Share Get the tools you need to inspire innovation and creativity The United States Department of Energy (DOE), in accordance with its

412

Energy Sub-Metering Equipment and Applications  

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

Energy Sub-Metering Equipment and Applications Energy Sub-Metering Equipment and Applications Speaker(s): Sim Gurewitz Date: July 24, 2008 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Paul Mathew This talk will address the following topics:Submetering basics: What is it? How does a submeter work?How to obtain a finer level of energy information within the buildingApplications: Who submeters and why?LEED NC/EB/CS and submetering / Energy & Atmosphere pointsSubmetering equipment: gas, electric, water, steam, CW Btu and HHW BtuHow to install equipment without scheduling an outageLoad Control option for automated load shedding and peak shavingWireless submeters and communication options / integration to EMS-BMCSAutomatic remote meter reading and cost allocation softwarePutting it all together into a metering SYSTEM: read from anywhere, IP

413

HVAC Equipment Rebate Program | Department of Energy  

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

HVAC Equipment Rebate Program HVAC Equipment Rebate Program HVAC Equipment Rebate Program < Back Eligibility Agricultural Commercial Industrial Installer/Contractor Institutional Multi-Family Residential Nonprofit Schools Savings Category Heating & Cooling Commercial Heating & Cooling Heating Cooling Heat Pumps Maximum Rebate Rebates of greater than $5,000 require pre-approval Program Info Funding Source Efficiency Vermont Public Benefit Fund Expiration Date 06/30/2013 State Vermont Program Type State Rebate Program Rebate Amount Varies depending on technology and efficiency Provider Efficiency Vermont NOTE: Rebate reservations are required for all boiler and furnace projects. Efficiency Vermont offers rebates for commercial installations of high-efficiency HVAC equipment and controls. For businesses and purchases

414

Industrial Equipment Demand and Duty Factors  

E-Print Network [OSTI]

Demand and duty factors have been measured for selected equipment (air compressors, electric furnaces, injection molding machines, centrifugal loads, and others) in industrial plants. Demand factors for heavily loaded air compressors were near 100...

Dooley, E. S.; Heffington, W. M.

415

BCM 2 Equipment Inventory | Sample Preparation Laboratories  

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

& Material Science Laboratory 2 Title Equipment Type Description Accumet Basic AB15 pH meter pH Meter pH meters with combination AgAgCl electrode and ATC probe. Corning 430 pH...

416

UNIVERSITY OF WASHINGTON ANNUAL EQUIPMENT TESTING AND  

E-Print Network [OSTI]

UNIVERSITY OF WASHINGTON ANNUAL EQUIPMENT TESTING AND MAINTENANCE SUMMARY DIVING SAFETY PROGRAM Date Tested Condition when received Intermediate Pressure Inhalation Resistance Exhalation Resistance Tested Make Serial Number Date Tested Results DEPTH GAUGE BUOYANCY COMPENSATOR Make Serial Number Date

Wilcock, William

417

Safety Topic: Rota/ng Equipment  

E-Print Network [OSTI]

Safety Topic: Rota/ng Equipment Jus/n Kleingartner #12;Safety protocols 2 #12;Safety protocols for opera/ng a lathe · Don'ts: ­ Do not wear gloves

Cohen, Robert E.

418

An Approach to Evaluating Equipment Efficiency Policies  

E-Print Network [OSTI]

AN APPROACH TO EVALUATING EQUIPMENT EFFICIENCY POLICIES Donald E. Newsom, Ph.D. and Allan R. Evans, Ph.D., P.E. Argonne National Laboratory, Argonne, Illinois ABSTRACT The National Energy Conservation Policy Act of 1978 authorized studies...

Newsom, D. E.; Evans, A. R.

1980-01-01T23:59:59.000Z

419

Cruising Equipment Company CECO | Open Energy Information  

Open Energy Info (EERE)

Cruising Equipment Company CECO Cruising Equipment Company CECO Jump to: navigation, search Name Cruising Equipment Company (CECO) Place Seattle, Washington Zip 98107 Product Maker of pollution control equipment - bought by Xantrex in 2000. 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":""}]}

420

Computer optimization of earthmoving equipment arrays  

E-Print Network [OSTI]

higher degree of equipment specialization. Thus, the con- tractor attempts now to insure that individual segments of jobs are performed by the most economical means available to him. The choice of equipment to be used is difficult indeed... drawn carts. Next came use of the drag scraper followed by a wheel-mounted scraper which could dig, transport and dump its load. A major contribution to the earthmoving industry was the track-type tractor, which was developed in 1904. The potential...

Pate, Jep Earl

2012-06-07T23:59:59.000Z

Note: This page contains sample records for the topic "forecast year equipment" 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

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

422

Weather-based forecasts of California crop yields  

SciTech Connect (OSTI)

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

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

2005-09-26T23:59:59.000Z

423

Wave height forecasting in Dayyer, the Persian Gulf  

Science Journals Connector (OSTI)

Forecasting of wave parameters is necessary for many marine and coastal operations. Different forecasting methodologies have been developed using the wind and wave characteristics. In this paper, artificial neural network (ANN) as a robust data learning method is used to forecast the wave height for the next 3, 6, 12 and 24 h in the Persian Gulf. To determine the effective parameters, different models with various combinations of input parameters were considered. Parameters such as wind speed, direction and wave height of the previous 3 h, were found to be the best inputs. Furthermore, using the difference between wave and wind directions showed better performance. The results also indicated that if only the wind parameters are used as model inputs the accuracy of the forecasting increases as the time horizon increases up to 6 h. This can be due to the lower influence of previous wave heights on larger lead time forecasting and the existing lag between the wind and wave growth. It was also found that in short lead times, the forecasted wave heights primarily depend on the previous wave heights, while in larger lead times there is a greater dependence on previous wind speeds.

B. Kamranzad; A. Etemad-Shahidi; M.H. Kazeminezhad

2011-01-01T23:59:59.000Z

424

List of Agricultural Equipment Incentives | Open Energy Information  

Open Energy Info (EERE)

Agricultural Equipment Incentives Agricultural Equipment Incentives Jump to: navigation, search The following contains the list of 90 Agricultural Equipment Incentives. CSV (rows 1 - 90) Incentive Incentive Type Place Applicable Sector Eligible Technologies Active Agricultural Energy Efficiency Program (New York) State Rebate Program New York Agricultural Agricultural Equipment Boilers Chillers Custom/Others pending approval Dishwasher Furnaces Heat pumps Heat recovery Lighting Lighting Controls/Sensors Motor VFDs Motors Water Heaters Commercial Cooking Equipment Commercial Refrigeration Equipment Food Service Equipment Yes Agricultural Lighting and Equipment Rebate Program (Vermont) State Rebate Program Vermont Agricultural Agricultural Equipment Custom/Others pending approval Lighting

425

CRAD, Nuclear Facility Construction - Mechanical Equipment - June 26, 2012  

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

Nuclear Facility Construction - Mechanical Equipment - June Nuclear Facility Construction - Mechanical Equipment - June 26, 2012 CRAD, Nuclear Facility Construction - Mechanical Equipment - June 26, 2012 June 26, 2012 Nuclear Facility Construction - Mechanical Equipment Installation, (HSS CRAD 45-53, Rev. 0) The purpose of this criteria review and approach, this CRAD includes mechanical equipment installation, including connections of the equipment to installed piping systems, and attachments of the equipment to structures (concrete, structural steel, or embed plates). Mechanical equipment includes items such as pumps and motors, valves, tanks, glove boxes, heat exchangers, ion exchangers, service air system, fire pumps and tanks, and heating, ventilation, and air condition (HVAC) equipment such as fans, scrubbers and filters.

426

Alternative Fuels Data Center: Pollution Control Equipment Exemption  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Pollution Control Pollution Control Equipment Exemption to someone by E-mail Share Alternative Fuels Data Center: Pollution Control Equipment Exemption on Facebook Tweet about Alternative Fuels Data Center: Pollution Control Equipment Exemption on Twitter Bookmark Alternative Fuels Data Center: Pollution Control Equipment Exemption on Google Bookmark Alternative Fuels Data Center: Pollution Control Equipment Exemption on Delicious Rank Alternative Fuels Data Center: Pollution Control Equipment Exemption on Digg Find More places to share Alternative Fuels Data Center: Pollution Control Equipment Exemption on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Pollution Control Equipment Exemption Dedicated original equipment manufacturer natural gas vehicles and

427

Modelling and forecasting Oman crude oil prices using Box-Jenkins techniques  

Science Journals Connector (OSTI)

The Box-Jenkins' Auto Regressive Integrated Moving Average (ARIMA) modelling approach has been applied for the time series analysis of monthly average prices of Oman crude oil taken over a period of 10 years. Several seasonal and non-seasonal ARIMA models were identified. These models were then estimated and compared for their adequacy using the significance of the parameter estimates, mean square errors and Modified Box-Pierce (Ljung-Box) Chi-Square statistic. Based on these criterion a multiplicative seasonal model of the form ARIMA (1,1,5)x(1,1,1) was recommended for short term forecasting.

M.I. Ahmad

2012-01-01T23:59:59.000Z

428

Guidelines for Electromagnetic Interference Testing of Power Plant Equipment: Revision 3 to TR-102323  

SciTech Connect (OSTI)

To continue meeting safety and reliability requirements while controlling costs, operators of nuclear power plants must be able to replace and upgrade equipment in a cost-effective manner. One issue that has been problematic for new plant equipment and especially for digital instrumentation and control (I&C) systems in recent years is electromagnetic compatibility (EMC). The EMC issue usually involves testing to show that critical equipment will not be adversely affected by electromagnetic interference (EMI) in the plant environment. This guide will help nuclear plant engineers address EMC issues and qualification testing in a consistent, comprehensive manner.

J. Cunningham and J. Shank

2004-11-01T23:59:59.000Z

429

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

E-Print Network [OSTI]

of the Department of Energy's Office of Industrial Technologies, EIA extracted energy use infonnation from the Annual Energy Outlook (AEO) - 2000 (8) for each of the seven # The Pacific Northwest National Laboratory is operated by Battelle Memorial Institute...-6, 2000 NEMS The NEMS industrial module is the official forecasting model for EIA and thus the Department of Energy. For this reason, the energy prices and output forecasts used to drive the ITEMS model were taken from EIA's AEO 2000. Understanding...

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

430

Electricity Used by Office Equipment and Network Equipment in the U.S.: Detailed Report and Appendices  

E-Print Network [OSTI]

LBNL-45917 Electricity Used by Office Equipment and Network Equipment in the U.S.: Detailed Report..............................................................................................46 #12;#12;1 Electricity Used by Office Equipment and Network Equipment in the U.S. Kaoru Kawamoto and network equipment, there has been no recent study that estimates in detail how much electricity

431

1982 analyses and reports: equipment availability report; component cause code report; and equipment availability report  

SciTech Connect (OSTI)

This equipment availability report (1973 to 1982, 1982) presents statistical information on the performance of the major types of generating units and their major component groups. (DLC)

Not Available

1982-01-01T23:59:59.000Z

432

A suite of metrics for assessing the performance of solar power forecasting  

Science Journals Connector (OSTI)

Abstract Forecasting solar energy generation is a challenging task because of the variety of solar power systems and weather regimes encountered. Inaccurate forecasts can result in substantial economic losses and power system reliability issues. One of the key challenges is the unavailability of a consistent and robust set of metrics to measure the accuracy of a solar forecast. This paper presents a suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios (i.e., different time horizons, geographic locations, and applications) that were developed as part of the U.S. Department of Energy SunShot Initiative’s efforts to improve the accuracy of solar forecasting. In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design-of-experiments methodology in conjunction with response surface, sensitivity analysis, and nonparametric statistical testing methods. The three types of forecasting improvements are (i) uniform forecasting improvements when there is not a ramp, (ii) ramp forecasting magnitude improvements, and (iii) ramp forecasting threshold changes. Day-ahead and 1-hour-ahead forecasts for both simulated and actual solar power plants are analyzed. The results show that the proposed metrics can efficiently evaluate the quality of solar forecasts and assess the economic and reliability impacts of improved solar forecasting. Sensitivity analysis results show that (i) all proposed metrics are suitable to show the changes in the accuracy of solar forecasts with uniform forecasting improvements, and (ii) the metrics of skewness, kurtosis, and Rényi entropy are specifically suitable to show the changes in the accuracy of solar forecasts with ramp forecasting improvements and a ramp forecasting threshold.

Jie Zhang; Anthony Florita; Bri-Mathias Hodge; Siyuan Lu; Hendrik F. Hamann; Venkat Banunarayanan; Anna M. Brockway

2015-01-01T23:59:59.000Z

433

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.

434

Alternative Fuels Data Center: Ethanol Production Equipment Tax Exemption  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Ethanol Production Ethanol Production Equipment Tax Exemption to someone by E-mail Share Alternative Fuels Data Center: Ethanol Production Equipment Tax Exemption on Facebook Tweet about Alternative Fuels Data Center: Ethanol Production Equipment Tax Exemption on Twitter Bookmark Alternative Fuels Data Center: Ethanol Production Equipment Tax Exemption on Google Bookmark Alternative Fuels Data Center: Ethanol Production Equipment Tax Exemption on Delicious Rank Alternative Fuels Data Center: Ethanol Production Equipment Tax Exemption on Digg Find More places to share Alternative Fuels Data Center: Ethanol Production Equipment Tax Exemption on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Ethanol Production Equipment Tax Exemption

435

Novel Energy Conversion Equipment for Low Temperature Geothermal...  

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

Novel Energy Conversion Equipment for Low Temperature Geothermal Resources Novel Energy Conversion Equipment for Low Temperature Geothermal Resources Project objective: Develop...

436

Microsoft Word - CX_McNaryEquipmentAcquisition.doc  

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

to purchase equipment owned by Umatilla Electric Cooperative (UEC) within BPA's McNary Substation. BPA already maintains all of UEC's equipment in the substation under an...

437

Dispensing Equipment Testing With Mid-Level Ethanol/Gasoline...  

Energy Savers [EERE]

Dispensing Equipment Testing With Mid-Level EthanolGasoline Test Fluid Dispensing Equipment Testing With Mid-Level EthanolGasoline Test Fluid The National Renewable Energy...

438

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

SciTech Connect (OSTI)

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

Porter, K.; Rogers, J.

2012-04-01T23:59:59.000Z

439

NSLS Services | Repair & Equipment Services  

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

Repair & Equipment Services Repair & Equipment Services Cleaning Facility (BNL Central Shops) Solvent cleaning of vacuum parts and leak checking service is also available. Work is billed to each user via a BNL ILR. Contact the NSLS Building Manager to arrange for any of these services. Electronics Repair Limited repairs for electronic equipment are available from an outside contractor through the Control Room. Contact Control Room Supervisor Randy Church (x2550 or x2736, pager 5310). Shipping memos are filled out on the web, and pick ups are on Fridays. Come to the Control Room for assistance. The user should call the contractor on the day before scheduled pickups to alert the contractor of the pickup. Items to be repaired should be left in the Control Room with the completed shipping memo. Costs are charged to the

440

Costs and indices for domestic oil and gas field equipment and production operations, 1992--1995  

SciTech Connect (OSTI)

This report presents estimated costs and cost indices for domestic oil and natural gas field equipment and production operations for 1992, 1993, 1994, and 1995. The costs of all equipment and services are those in effect during June of each year. The sum (aggregates) of the costs for representative leases by region, depth, and production rate were averaged and indexed. This provides a general measure of the increased or decreased costs from year to year for lease equipment and operations. These general measured do not capture changes in industry-wide costs exactly because of annual variations in the ratio of the total number of oil wells to the total number of gas wells. The detail provided in this report is unavailable elsewhere. The body of this report contains summary tables, and the appendices contain detailed tables.

NONE

1996-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast year equipment" 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

Mercury emissions from municipal solid waste combustors. An assessment of the current situation in the United States and forecast of future emissions  

SciTech Connect (OSTI)

This report examines emissions of mercury (Hg) from municipal solid waste (MSW) combustion in the United States (US). It is projected that total annual nationwide MSW combustor emissions of mercury could decrease from about 97 tonnes (1989 baseline uncontrolled emissions) to less than about 4 tonnes in the year 2000. This represents approximately a 95 percent reduction in the amount of mercury emitted from combusted MSW compared to the 1989 mercury emissions baseline. The likelihood that routinely achievable mercury emissions removal efficiencies of about 80 percent or more can be assured; it is estimated that MSW combustors in the US could prove to be a comparatively minor source of mercury emissions after about 1995. This forecast assumes that diligent measures to control mercury emissions, such as via use of supplemental control technologies (e.g., carbon adsorption), are generally employed at that time. However, no present consensus was found that such emissions control measures can be implemented industry-wide in the US within this time frame. Although the availability of technology is apparently not a limiting factor, practical implementation of necessary control technology may be limited by administrative constraints and other considerations (e.g., planning, budgeting, regulatory compliance requirements, etc.). These projections assume that: (a) about 80 percent mercury emissions reduction control efficiency is achieved with air pollution control equipment likely to be employed by that time; (b) most cylinder-shaped mercury-zinc (CSMZ) batteries used in hospital applications can be prevented from being disposed into the MSW stream or are replaced with alternative batteries that do not contain mercury; and (c) either the amount of mercury used in fluorescent lamps is decreased to an industry-wide average of about 27 milligrams of mercury per lamp or extensive diversion from the MSW stream of fluorescent lamps that contain mercury is accomplished.

none,

1993-05-01T23:59:59.000Z

442

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

SciTech Connect (OSTI)

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

443

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

SciTech Connect (OSTI)

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

444

dieSel/heAvy equipMent College of Rural and Community Development  

E-Print Network [OSTI]

and equipment overhauls. Students work on large truck fuel, electrical and air systems, diesel engines 907-455-2809 www.ctc.uaf.edu/programs/diesel/ certificate Minimum Requirements for Certificate: 36 credits The diesel and heavy equipment mechanics program offers the student training in the maintenance

Hartman, Chris

445

After-hours Power Status of Office Equipment and Inventory of Miscellaneous Plug-Load Equipment  

E-Print Network [OSTI]

LBNL-53729 After-hours Power Status of Office Equipment and Inventory of Miscellaneous Plug-Load To download this paper and related data go to: http://enduse.lbl.gov/Projects/OffEqpt.html The work described.................................................................................................................................................5 Office Equipment Data Collection

446

Links with Primary Science: SAD PhysicsPhysics Research: In a hurry...Physics Community: Scottish Stirling MeetingPhysics at Congress: Global warming forecasts rise in skin cancerEvents: 2001 SET weekE-mail Discussions: Learning in scienceStudent Activity: Paperclip PhysicsCurriculum Development: Perspectives on ScienceAwards: Award for causing chaosPhysics at Congress: Physics and public heath: Do electrical power lines cause cancer?Higher Education: First-year course developmentInterschool Collaboration: Monitoring geomagnetic stormsCurriculum Development: UK course goes internationalPhysics in Science Year: Website launched  

Science Journals Connector (OSTI)

YOUR NEWS WANTED The news section gives updates on what has been happening in physics education worldwide. Items included show how events in one country could be relevant to good practice elsewhere in the world. Contributions are welcome from all our readers and should be about 200 to 300 words and can include a picture. Contents: Links with Primary Science: SAD Physics Physics Research: In a hurry... Physics Community: Scottish Stirling Meeting Physics at Congress: Global warming forecasts rise in skin cancer Events: 2001 SET week E-mail Discussions: Learning in science Student Activity: Paperclip Physics Curriculum Development: Perspectives on Science Awards: Award for causing chaos Physics at Congress: Physics and public heath: Do electrical power lines cause cancer? Higher Education: First-year course development Interschool Collaboration: Monitoring geomagnetic storms Curriculum Development: UK course goes international Physics in Science Year: Website launched LINKS WITH PRIMARY SCIENCESAD Physics Perhaps you're looking for a way to excite primary school children about the science awaiting them at secondary school. Perhaps you want to improve links with your feeder primaries? If so, you might like to try a Science in Action Day (SAD for short!), run for the first time earlier this year in rural North Yorkshire at Norton College with a neighbouring school in Malton. Science coordinators chose those pupils they felt would benefit most (not necessarily the most able scientists) from both sets of feeder primary schools. Over a hundred pupils wanted to come (from roughly 20 feeder schools, most of them small village primaries) and the event - with only two staff and one technician to run the day - had to severely limit numbers. The focus was 'Rockets'. The NASA kids' website ( http://kids.msfc.nasa.gov and then follow the links to the rocket pages!) provided a wealth of activities for the morning. The day began with a big screen presentation about the Shuttle and some of the principles involved in launching it into space. The 60 pupils who attended were then divided into two groups for hands-on activities. One group looked at the principles of momentum conservation, with activities ranging from building and racing balloon-powered rocket cars to making Hero's engines from fizzy drinks cans. The second group looked at fuels, with activities such as making matchstick solid fuel rockets and launching a hydrogen-powered tin can rocket from floor to ceiling in the laboratory. Rockets launched from drinking straws. Making matchstick solid fuel rockets. After a break, the first group of pupils went off to build their own drinking straw-launched rockets and the other group went off to the IT suite to investigate the optimal launch parameters for a water rocket. The race was on to see who could launch their virtual rocket to the greatest height (see http://www.ag.ohio-state.edu/~rockets/). Finally real rockets were launched: water rockets - one commercial and one home-made - and a STOMP rocket, a larger scale version of the drinking straw rockets (both rockets are available from the Science Museum - see http://www.sciencemuseumstore.com/). At the end of the day every pupil was presented with a certificate declaring them to be an expert in rocketry and they were returned, flushed and excited, to their waiting parents. Simon Carson and Ian Martin PHYSICS RESEARCHIn a hurry... The pace of publication in education may seem rapid as one reform follows another. But in the world of research things can happen even more quickly. A group from Tokyo University discovered bulk superconductivity in magnesium diboride (MgB2) at 39 K - the highest transition temperature so far achieved in a bulk non-copper oxide superconductor. What makes it especially remarkable is the fact that this material is cheap and readily available, unlike its predecesors. The group published their findings on 1 March in Nature. Almost at the same time a few groups around the world have been racing to publish their results on this wonder material, some of the rivals be

447

Conceptual design report, CEBAF basic experimental equipment  

SciTech Connect (OSTI)

The Continuous Electron Beam Accelerator Facility (CEBAF) will be dedicated to basic research in Nuclear Physics using electrons and photons as projectiles. The accelerator configuration allows three nearly continuous beams to be delivered simultaneously in three experimental halls, which will be equipped with complementary sets of instruments: Hall A--two high resolution magnetic spectrometers; Hall B--a large acceptance magnetic spectrometer; Hall C--a high-momentum, moderate resolution, magnetic spectrometer and a variety of more dedicated instruments. This report contains a short description of the initial complement of experimental equipment to be installed in each of the three halls.

NONE

1990-04-13T23:59:59.000Z

448

RENEWABLE ENERGY SUPPLY TO RURAL MEXICO, YEAR 2000  

Science Journals Connector (OSTI)

ABSTRACT A forecast of the renewable energy supply to rural zones is presented, for Mexico in the year 2000. The social needs of a typical village, the energy requirements associated, the availability of local energy sources and the techno-economic viability of different systems are considered. The required energy to be supplied is about 1.5 and 2.5% of the national total estimated, for electrical and thermal uses, respectively. Eventhough the proposed alternative systems are techno-economically viable, a strong development program could only satisfy 7 to 10% of the electrical demand and 14 to 29% of the heat demand. KEYWORDS Energy supply; Mexico; Forecast studies; Economic Analysis.

Manuel Martinez

1988-01-01T23:59:59.000Z

449

Numerical Simulation of 2010 Pakistan Flood in the Kabul River Basin by Using Lagged Ensemble Rainfall Forecasting  

Science Journals Connector (OSTI)

Lagged ensemble forecasting of rainfall and rainfall–runoff–inundation (RRI) forecasting were applied to the devastating flood in the Kabul River basin, the first strike of the 2010 Pakistan flood. The forecasts were performed using the Global ...

Tomoki Ushiyama; Takahiro Sayama; Yuya Tatebe; Susumu Fujioka; Kazuhiko Fukami

2014-02-01T23:59:59.000Z

450

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

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

Expert Panel: Forecast Future Demand for Medical Isotopes Expert Panel: Forecast Future Demand for Medical Isotopes Expert Panel: Forecast Future Demand for Medical Isotopes The Expert Panel has concluded that the Department of Energy and National Institutes of Health must develop the capability to produce a diverse supply of radioisotopes for medical use in quantities sufficient to support research and clinical activities. Such a capability would prevent shortages of isotopes, reduce American dependence on foreign radionuclide sources and stimulate biomedical research. The expert panel recommends that the U.S. government build this capability around either a reactor, an accelerator or a combination of both technologies as long as isotopes for clinical and research applications can be supplied reliably, with diversity in adequate

451

Forecasting correlated time series with exponential smoothing models  

Science Journals Connector (OSTI)

This paper presents the Bayesian analysis of a general multivariate exponential smoothing model that allows us to forecast time series jointly, subject to correlated random disturbances. The general multivariate model, which can be formulated as a seemingly unrelated regression model, includes the previously studied homogeneous multivariate Holt-Winters’ model as a special case when all of the univariate series share a common structure. MCMC simulation techniques are required in order to approach the non-analytically tractable posterior distribution of the model parameters. The predictive distribution is then estimated using Monte Carlo integration. A Bayesian model selection criterion is introduced into the forecasting scheme for selecting the most adequate multivariate model for describing the behaviour of the time series under study. The forecasting performance of this procedure is tested using some real examples.

Ana Corberán-Vallet; José D. Bermúdez; Enriqueta Vercher

2011-01-01T23:59:59.000Z

452

Application of GIS on forecasting water disaster in coal mines  

SciTech Connect (OSTI)

In many coal mines of China, water disasters occur very frequently. It is the most important problem that water gets inrush into drifts and coal faces, locally known as water gush, during extraction and excavation. Its occurrence is controlled by many factors such as geological, hydrogeological and mining technical conditions, and very difficult to be predicted and prevented by traditional methods. By making use of overlay analysis of Geographic Information System, a multi-factor model can be built to forecast the potential of water gush. This paper introduced the method of establishment of the water disaster forecasting system and forecasting model and two practical successful cases of application in Jiaozuo and Yinzhuang coal mines. The GIS proved helpful for ensuring the safety of coal mines.

Sun Yajun; Jiang Dong; Ji Jingxian [China Univ. of Mining and Technology, Jiangshy (China)] [and others

1996-08-01T23:59:59.000Z

453

Asset Management Equipment Disposal Form -Refrigerant Recovery  

E-Print Network [OSTI]

enters the waste stream with the charge intact (e.g., motor vehicle air conditioners, refrigeratorsAsset Management Equipment Disposal Form - Refrigerant Recovery Safe Disposal Requirements Under refrigeration, cold storage warehouse refrigeration, chillers, and industrial process refrigeration) has to have

Sin, Peter

454

WAMPANOAG WELLNESS EQUIPMENT LENDING BANK POLICIES & PROCEDURES  

E-Print Network [OSTI]

vacuums and steam cleaners, can be used to address immediate concerns, such as intense cleaning to remove to enable the Health Service to measure the environmental impact of the use of the equipment in the homes moisture levels or improve air quality. STEP TWO: RECOMMENDATIONS As noted, recommendations in the Home

455

Research equipment: Surface Acoustic Wave (SAW) devices  

E-Print Network [OSTI]

of the acoustic wave. More specifically, the equipment consists of: i. HP 4195A (10Hz-500MHz) ii. HP 8753ES (30kHz measurements on many SAW devices iii. Agilent E5061A (300kHz-1.5GHz) http Scientific Corp.): Atmospheric plasma etching, for surface cleaning, surface treatment and activation

Gizeli, Electra

456

Research equipment: Surface Acoustic Wave (SAW) devices  

E-Print Network [OSTI]

, the equipment consists of: i. HP 4195A (10Hz-500MHz) ii. HP 8753ES (30kHz-3GHz) with time-gating option. Agilent E5061A (300kHz-1.5GHz) Switch control Network Analyzer Quartz Crystal Microbalance-coating of various polymeric films. Expanded Plasma Cleaner & PlasmaFloTM (Harrick Scientific Corp.): Atmospheric

Gizeli, Electra

457

Processing Equipment 2" Davis-Standard Extruder  

E-Print Network [OSTI]

Processing Equipment 2" Davis-Standard Extruder Improved Melting Grooved Feeding Capabilities Multiple Pressure Ports Along the Barrel Screw Cooling Kit Rod Die With Valved Adapter Higher Throughputs L Ring 1'' General Purpose Screw 3 Air-Cooled Barrel Zones Gala Industries Underwater Micropelletizer

Bone, Gary

458

Standardized equipment labeling program for electrical utilities  

SciTech Connect (OSTI)

The purpose of this supporting document is to provide specific guidelines required for Electrical Utilities to implement and maintain a standard equipment and piping labeling program in accordance with WHC-SP-0708, Chapter 18, {open_quotes}Westinghouse Hanford Company Conduct of Operations Manual{close_quotes}. Specific guidelines include definition of program responsibilities.

Not Available

1994-07-19T23:59:59.000Z

459

Original article Enzymatic equipment of Ascosphaera apis  

E-Print Network [OSTI]

Original article Enzymatic equipment of Ascosphaera apis and the development of infection — The process of infection of honey bee brood by the fungus Ascosphaera apis was ini- tiated the fungus pierces the cuticle. Ascosphaera apis / Apis mellifera / larval cuticle / penetration / infection

Paris-Sud XI, Université de

460

PROJECT REPORT HVAC EQUIPMENT DEMOGRAPHICS AND CAPACITY  

E-Print Network [OSTI]

PROJECT REPORT HVAC EQUIPMENT DEMOGRAPHICS AND CAPACITY ANALYSIS TOOLS APPLICABLE TO MULTI Commercial HVAC Design Process 12 5.0 Conclusion 18 6.0 References 19 TABLE OF CONTENTS SECTIONS #12;MULTI performance by collectively improving the enve- lope, lighting and HVAC systems. The primary goals of the UC

California at Davis, University of

Note: This page contains sample records for the topic "forecast year equipment" 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.


461

Standard hydrogen monitoring system equipment installation instructions  

SciTech Connect (OSTI)

This document provides the technical specifications for the equipment fabrication, installation, and sitework construction for the Standard Hydrogen Monitoring System. The Standard Hydrogen Monitoring System is designed to remove gases from waste tank vapor space and exhaust headers for continual monitoring and remote sample analysis.

Schneider, T.C.

1996-09-27T23:59:59.000Z

462

Electricity price forecasting: A review of the state-of-the-art with a look into the future  

Science Journals Connector (OSTI)

Abstract A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the last 15 years, with varying degrees of success. This review article aims to explain the complexity of available solutions, their strengths and weaknesses, and the opportunities and threats that the forecasting tools offer or that may be encountered. The paper also looks ahead and speculates on the directions EPF will or should take in the next decade or so. In particular, it postulates the need for objective comparative EPF studies involving (i) the same datasets, (ii) the same robust error evaluation procedures, and (iii) statistical testing of the significance of one model’s outperformance of another.

Rafa? Weron

2014-01-01T23:59:59.000Z

463

NREL: Energy Analysis - Energy Forecasting and Modeling Staff  

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

464

Conceptual design of a geothermal site development forecasting system  

SciTech Connect (OSTI)

A site development forecasting system has been designed in response to the need to monitor and forecast the development of specific geothermal resource sites for electrical power generation and direct heat applications. The system is comprised of customized software, a site development status data base, and a set of complex geothermal project development schedules. The system would use site-specific development status information obtained from the Geothermal Progress Monitor and other data derived from economic and market penetration studies to produce reports on the rates of geothermal energy development, federal agency manpower requirements to ensure these developments, and capital expenditures and technical/laborer manpower required to achieve these developments.

Neham, E.A.; Entingh, D.J.

1980-03-01T23:59:59.000Z

465

Sales forecasting strategies for small businesses: an empirical investigation of statistical and judgemental methods  

Science Journals Connector (OSTI)

This study evolved from the mixed results shown in the reviewed forecasting literature and from the lack of sufficient forecasting research dealing with micro data. The main purpose of this study is to investigate and compare the accuracy of different quantitative and qualitative forecasting techniques, and to recommend a forecasting strategy for small businesses. Emphasis is placed on the testing of combining as a tool to improve forecasting accuracy. Of particular interest is whether combining time series and judgemental forecasts provides more accurate results than individual methods. A case study of a small business was used for this purpose to assess the accuracy and applicability of combining forecasts. The evidence indicates that combining qualitative and quantitative methods results in better and improved forecasts.

Imad J. Zbib

2006-01-01T23:59:59.000Z

466

Distributed quantitative precipitation forecasts combining information from radar and numerical weather prediction model outputs  

E-Print Network [OSTI]

Applications of distributed Quantitative Precipitation Forecasts (QPF) range from flood forecasting to transportation. Obtaining QPF is acknowledged to be one of the most challenging areas in hydrology and meteorology. ...

Ganguly, Auroop Ratan

2002-01-01T23:59:59.000Z

467

A Comparison of Measures-Oriented and Distributions-Oriented Approaches to Forecast Verification  

Science Journals Connector (OSTI)

The authors have carried out verification of 590 12–24-h high-temperature forecasts from numerical guidance products and human forecasters for Oklahoma City, Oklahoma, using both a measures-oriented verification scheme and a distributions-...

Harold E. Brooks; Charles A. Doswell III

1996-09-01T23:59:59.000Z

468

Correspondence among the Correlation, RMSE, and Heidke Forecast Verification Measures; Refinement of the Heidke Score  

Science Journals Connector (OSTI)

The correspondence among the following three forecast verification scores, based on forecasts and their associated observations, is described: 1) the correlation score, 2) the root-mean-square error (RMSE) score, and 3) the Heidke score (based on ...

Anthony G. Barnston

1992-12-01T23:59:59.000Z

469

Improving Seasonal Forecast Skill of North American Surface Air Temperature in Fall Using a Postprocessing Method  

Science Journals Connector (OSTI)

A statistical postprocessing approach is applied to seasonal forecasts of surface air temperatures (SAT) over North America in fall, when the original uncalibrated predictions have little skill. The data used are ensemble-mean seasonal forecasts ...

XiaoJing Jia; Hai Lin; Jacques Derome

2010-05-01T23:59:59.000Z

470

Computing electricity spot price prediction intervals using quantile regression and forecast averaging  

Science Journals Connector (OSTI)

We examine possible accuracy gains from forecast averaging in the context of interval forecasts of electricity spot prices. First, we test whether constructing empirical prediction intervals (PI) from combined electricity

Jakub Nowotarski; Rafa? Weron

2014-08-01T23:59:59.000Z

471

Medium-term forecasting of demand prices on example of electricity prices for industry  

Science Journals Connector (OSTI)

In the paper, a method of forecasting demand prices for electric energy for the industry has been suggested. An algorithm of the forecast for 2006–2010 based on the data for 1997–2005 has been presented.

V. V. Kossov

2014-09-01T23:59:59.000Z

472

Price Forecasting and Optimal Operation of Wholesale Customers in a Competitive Electricity Market.  

E-Print Network [OSTI]

??This thesis addresses two main issues: first, forecasting short-term electricity market prices; and second, the application of short-term electricity market price forecasts to operation planning… (more)

Zareipour, Hamidreza

2006-01-01T23:59:59.000Z

473

Impacts of Improved Day-Ahead Wind Forecasts on Power Grid Operations: September 2011  

SciTech Connect (OSTI)

This study analyzed the potential benefits of improving the accuracy (reducing the error) of day-ahead wind forecasts on power system operations, assuming that wind forecasts were used for day ahead security constrained unit commitment.

Piwko, R.; Jordan, G.

2011-11-01T23:59:59.000Z

474

Combining Multi Wavelet and Multi NN for Power Systems Load Forecasting  

Science Journals Connector (OSTI)

In the paper, two pre-processing methods for load forecast sampling data including multiwavelet transformation and chaotic time series ... introduced. In addition, multi neural network for load forecast including...

Zhigang Liu; Qi Wang; Yajun Zhang

2008-01-01T23:59:59.000Z

475

Application of the Stretched Exponential Production Decline Model to Forecast Production in Shale Gas Reservoirs  

E-Print Network [OSTI]

Production forecasting in shale (ultra-low permeability) gas reservoirs is of great interest due to the advent of multi-stage fracturing and horizontal drilling. The well renowned production forecasting model, Arps? Hyperbolic Decline Model...

Statton, James Cody

2012-07-16T23:59:59.000Z

476

E-Print Network 3.0 - air pollution forecast Sample Search Results  

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

forecast Search Powered by Explorit Topic List Advanced Search Sample search results for: air pollution forecast Page: << < 1 2 3 4 5 > >> 1 DISCOVER-AQ Outlook for Wednesay, July...

477

Evaluation of numerical weather prediction for intra-day solar forecasting in the continental United States  

E-Print Network [OSTI]

and validation.   Solar Energy.   73:5, 307? Perez, R. , irradiance forecasts for solar energy applications based on forecast database.   Solar Energy.   81:6, 809?812.  

Mathiesen, Patrick; Kleissl, Jan

2011-01-01T23:59:59.000Z

478

A WRF Ensemble for Improved Wind Speed Forecasts at Turbine Height  

Science Journals Connector (OSTI)

The Weather Research and Forecasting Model (WRF) with 10-km horizontal grid spacing was used to explore improvements in wind speed forecasts at a typical wind turbine hub height (80 m). An ensemble consisting of WRF model simulations with ...

Adam J. Deppe; William A. Gallus Jr.; Eugene S. Takle

2013-02-01T23:59:59.000Z

479

Unidata Community Equipment Awards Cover Sheet Proposal Title  

E-Print Network [OSTI]

RAID array with 4 TB storage · Support equipment including a rack, rack console, uninterruptable power

480

STATE OF CALIFORNIA VERIFICATION OF HIGH EER EQUIPMENT  

E-Print Network [OSTI]

STATE OF CALIFORNIA VERIFICATION OF HIGH EER EQUIPMENT CEC-CF-4R-MECH-23 (Revised 08/09) CALIFORNIA of High EER Equipment (Page 1 of 2) Site Address: Enforcement Agency: Permit Number: Registration Number 2009 Verification of High EER Equipment Procedures for verification of High EER Equipment are described

Note: This page contains sample records for the topic "forecast year equipment" 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.


481

STATE OF CALIFORNIA VERIFICATION OF HIGH EER EQUIPMENT  

E-Print Network [OSTI]

STATE OF CALIFORNIA VERIFICATION OF HIGH EER EQUIPMENT CEC-CF-6R-MECH-23-HERS (Revised 08/09) CALIFORNIA ENERGY COMMISSION INSTALLATION CERTIFICATE CF-6R-MECH-23-HERS Verification of High EER Equipment 2009 Verification of High EER Equipment Procedures for verification of High EER Equipment are described

482

New designs in reconstructing the mechanical equipment of hydroelectric stations  

Science Journals Connector (OSTI)

1. Reliable operation of mechanical equipment can be assured, provided timely conduction of repairs and reconstr...

S. V. Leeson

1996-03-01T23:59:59.000Z

483

Page 1 of 3 Policy: Fire Protection Equipment Policy  

E-Print Network [OSTI]

Page 1 of 3 Policy: Fire Protection Equipment Policy Responsible Party: Director, Safety and Risk The Office of Safety and Risk Management (SRM) has developed, and implemented the Fire Protection Equipment of Fire Protection Equipment throughout MSU to maintain its working order. Fire Protection Equipment

Dyer, Bill

484

Electrical Equipment Replacement: Energy Efficiency versus System Compatibility  

E-Print Network [OSTI]

upgrading electrical equipment to energy efficient models, including conductor sizing, overcurrent protective devices, grounding, and harmonics. The pages that follow provide guidance in the decision-making process when replacing electrical equipment... equipment. Several areas of compatibility must be addressed for equipment to work properly. Critical areas of concern are conductor sizing, overcurrent protection devices, grounding, and harmonics. Conductor Sizing Conductors are sized...

Massey, G. W.

2005-01-01T23:59:59.000Z

485

Y YEAR  

National Nuclear Security Administration (NNSA)

5 79 -7.06% YEAR 2013 2014 Males 59 57 -3.39% Females 26 22 -15.38% YEAR 2013 2014 SES 1 0 -100% EJEK 4 3 -25.00% EN 05 3 2 -33.33% EN 04 22 22 0% EN 03...

486

Y YEAR  

National Nuclear Security Administration (NNSA)

2 40 -4.76% YEAR 2013 2014 Males 37 35 -5.41% Females 5 5 0% YEAR 2013 2014 SES 2 2 0% EJEK 5 4 -20.00% EN 05 5 7 40.00% EN 04 6 6 0% EN 03 1 1 0% NN...

487

Y YEAR  

National Nuclear Security Administration (NNSA)

91 81 -10.99% YEAR 2013 2014 Males 67 56 -16.42% Females 24 25 4.17% YEAR 2013 2014 SES 1 2 100% EJEK 9 8 -11.11% EN 04 25 22 -12.00% NN (Engineering) 24...

488

Building Technologies Office: About the Appliance and Equipment Standards  

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

About the Appliance and About the Appliance and Equipment Standards Program to someone by E-mail Share Building Technologies Office: About the Appliance and Equipment Standards Program on Facebook Tweet about Building Technologies Office: About the Appliance and Equipment Standards Program on Twitter Bookmark Building Technologies Office: About the Appliance and Equipment Standards Program on Google Bookmark Building Technologies Office: About the Appliance and Equipment Standards Program on Delicious Rank Building Technologies Office: About the Appliance and Equipment Standards Program on Digg Find More places to share Building Technologies Office: About the Appliance and Equipment Standards Program on AddThis.com... About History & Impacts Statutory Authorities & Rules Regulatory Processes

489

Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE)  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Electric Vehicle Electric Vehicle Supply Equipment (EVSE) Regulation Exemption to someone by E-mail Share Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Regulation Exemption on Facebook Tweet about Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Regulation Exemption on Twitter Bookmark Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Regulation Exemption on Google Bookmark Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Regulation Exemption on Delicious Rank Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Regulation Exemption on Digg Find More places to share Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Regulation Exemption on AddThis.com...

490

Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE)  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Electric Vehicle Electric Vehicle Supply Equipment (EVSE) Requirements to someone by E-mail Share Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Requirements on Facebook Tweet about Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Requirements on Twitter Bookmark Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Requirements on Google Bookmark Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Requirements on Delicious Rank Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Requirements on Digg Find More places to share Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Requirements on AddThis.com... More in this section... Federal State Advanced Search

491

Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE)  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Electric Vehicle Electric Vehicle Supply Equipment (EVSE) Installation Requirements to someone by E-mail Share Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Installation Requirements on Facebook Tweet about Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Installation Requirements on Twitter Bookmark Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Installation Requirements on Google Bookmark Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Installation Requirements on Delicious Rank Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Installation Requirements on Digg Find More places to share Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Installation Requirements on AddThis.com...

492

Training program requirements for remote equipment operators in nuclear facilities  

SciTech Connect (OSTI)

One of the most neglected areas in the engineering development of remotely operated equipment applications in nuclear environments is the planning of adequate training programs for the equipment operators. Remote equipment accidents cannot be prevented solely by engineered safety features on the equipment. As a result of the experiences in using remote equipment in the recovery effort at Three Mile Island Unit 2 (TMI-2), guidelines for the development of remote equipment operator training programs have been generated. The result is that a successful education and training program can create an environment favorable to the safe and effective implementation of a remote equipment program in a nuclear facility.

Palau, G.L.; Auclair, K.D.

1986-01-01T23:59:59.000Z

493

Alternative Fuels Data Center: Biodiesel Production and Blending Equipment  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Biodiesel Production Biodiesel Production and Blending Equipment Tax Credit to someone by E-mail Share Alternative Fuels Data Center: Biodiesel Production and Blending Equipment Tax Credit on Facebook Tweet about Alternative Fuels Data Center: Biodiesel Production and Blending Equipment Tax Credit on Twitter Bookmark Alternative Fuels Data Center: Biodiesel Production and Blending Equipment Tax Credit on Google Bookmark Alternative Fuels Data Center: Biodiesel Production and Blending Equipment Tax Credit on Delicious Rank Alternative Fuels Data Center: Biodiesel Production and Blending Equipment Tax Credit on Digg Find More places to share Alternative Fuels Data Center: Biodiesel Production and Blending Equipment Tax Credit on AddThis.com... More in this section... Federal State

494

Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE)  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Electric Vehicle Electric Vehicle Supply Equipment (EVSE) Requirements to someone by E-mail Share Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Requirements on Facebook Tweet about Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Requirements on Twitter Bookmark Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Requirements on Google Bookmark Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Requirements on Delicious Rank Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Requirements on Digg Find More places to share Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Requirements on AddThis.com... More in this section... Federal State Advanced Search

495

Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE)  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Electric Vehicle Electric Vehicle Supply Equipment (EVSE) Rebate - LADWP to someone by E-mail Share Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Rebate - LADWP on Facebook Tweet about Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Rebate - LADWP on Twitter Bookmark Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Rebate - LADWP on Google Bookmark Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Rebate - LADWP on Delicious Rank Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Rebate - LADWP on Digg Find More places to share Alternative Fuels Data Center: Electric Vehicle Supply Equipment (EVSE) Rebate - LADWP on AddThis.com... More in this section... Federal

496

Alternative Fuels Data Center: Mandatory Electric Vehicle Supply Equipment  

Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

Mandatory Electric Mandatory Electric Vehicle Supply Equipment (EVSE) Building Standards to someone by E-mail Share Alternative Fuels Data Center: Mandatory Electric Vehicle Supply Equipment (EVSE) Building Standards on Facebook Tweet about Alternative Fuels Data Center: Mandatory Electric Vehicle Supply Equipment (EVSE) Building Standards on Twitter Bookmark Alternative Fuels Data Center: Mandatory Electric Vehicle Supply Equipment (EVSE) Building Standards on Google Bookmark Alternative Fuels Data Center: Mandatory Electric Vehicle Supply Equipment (EVSE) Building Standards on Delicious Rank Alternative Fuels Data Center: Mandatory Electric Vehicle Supply Equipment (EVSE) Building Standards on Digg Find More places to share Alternative Fuels Data Center: Mandatory Electric Vehicle Supply Equipment (EVSE) Building Standards on

497

Improving the forecasting function for a Credit Hire operator in the UK  

Science Journals Connector (OSTI)

This study aims to test on the predictability of Credit Hire services for the automobile and insurance industry. A relatively sophisticated time series forecasting procedure, which conducts a competition among exponential smoothing models, is employed to forecast demand for a leading UK Credit Hire operator (CHO). The generated forecasts are compared against the Naive method, resulting that demand for CHO services is indeed extremely hard to forecast, as the underlying variable is the number of road accidents – a truly stochastic variable.

Nicolas D. Savio; K. Nikolopoulos; Konstantinos Bozos

2009-01-01T23:59:59.000Z

498

Central Wind Power Forecasting Programs in North America by Regional Transmission Organizations and Electric Utilities  

SciTech Connect (OSTI)

The report addresses the implementation of central wind power forecasting by electric utilities and regional transmission organizations in North America.

Porter, K.; Rogers, J.

2009-12-01T23:59:59.000Z

499

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

E-Print Network [OSTI]

1 Next Generation Short-Term Forecasting of Wind Power ­ Overview of the ANEMOS Project. G outperform current state-of-the-art methods, for onshore and offshore wind power forecasting. Advanced forecasts for the power system management and market integration of wind power. Keywords: Wind power, short

Boyer, Edmond

500

Combination of Long Term and Short Term Forecasts, with Application to Tourism  

E-Print Network [OSTI]

Combination of Long Term and Short Term Forecasts, with Application to Tourism Demand Forecasting that are combined. As a case study, we consider the problem of forecasting monthly tourism numbers for inbound tourism to Egypt. Specifically, we con- sider 33 source countries, as well as the aggregate. The novel

Abu-Mostafa, Yaser S.