Sample records for wind resource estimates

  1. Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic...

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

    Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements Estimating the Wind Resource in Uttarakhand: Comparison of...

  2. Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements

    SciTech Connect (OSTI)

    Lundquist, J. K.; Pukayastha, A.; St. Martin, C.; Newsom, R.

    2014-03-01T23:59:59.000Z

    Previous estimates of the wind resources in Uttarakhand, India, suggest minimal wind resources in this region. To explore whether or not the complex terrain in fact provides localized regions of wind resource, the authors of this study employed a dynamic down scaling method with the Weather Research and Forecasting model, providing detailed estimates of winds at approximately 1 km resolution in the finest nested simulation.

  3. Q: When planning a wind farm, how are wind resources estimated? And if the average wind speed is known at 10 meters is there a general rule for estimating the wind speed at

    E-Print Network [OSTI]

    Q: When planning a wind farm, how are wind resources estimated? And if the average wind speed is known at 10 meters is there a general rule for estimating the wind speed at larger heights above ground level? The wind resource at a wind farm can be estimated in two ways: by measurement or by modeling

  4. Fort Carson Wind Resource Assessment

    SciTech Connect (OSTI)

    Robichaud, R.

    2012-10-01T23:59:59.000Z

    This report focuses on the wind resource assessment, the estimated energy production of wind turbines, and economic potential of a wind turbine project on a ridge in the southeastern portion of the Fort Carson Army base.

  5. Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:RevisedAdvisoryStandardGeneration |10 DOEGoals DuringMarkets - EAC 2011

  6. Community Wind Handbook/Conduct a Wind Resource Estimate | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png ElColumbia, NorthCommunity Management

  7. Wind Resource Estimation and Mapping at the National Renewable Energy Laboratory

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWind IndustryWindWindWind W

  8. Wind Resource Assessment of Gujarat (India)

    SciTech Connect (OSTI)

    Draxl, C.; Purkayastha, A.; Parker, Z.

    2014-07-01T23:59:59.000Z

    India is one of the largest wind energy markets in the world. In 1986 Gujarat was the first Indian state to install a wind power project. In February 2013, the installed wind capacity in Gujarat was 3,093 MW. Due to the uncertainty around existing wind energy assessments in India, this analysis uses the Weather Research and Forecasting (WRF) model to simulate the wind at current hub heights for one year to provide more precise estimates of wind resources in Gujarat. The WRF model allows for accurate simulations of winds near the surface and at heights important for wind energy purposes. While previous resource assessments published wind power density, we focus on average wind speeds, which can be converted to wind power densities by the user with methods of their choice. The wind resource estimates in this study show regions with average annual wind speeds of more than 8 m/s.

  9. Wind Energy Resources and Technologies

    Broader source: Energy.gov [DOE]

    This page provides a brief overview of wind energy resources and technologies supplemented by specific information to apply wind energy within the Federal sector.

  10. Improved diagnostic model for estimating wind energy

    SciTech Connect (OSTI)

    Endlich, R.M.; Lee, J.D.

    1983-03-01T23:59:59.000Z

    Because wind data are available only at scattered locations, a quantitative method is needed to estimate the wind resource at specific sites where wind energy generation may be economically feasible. This report describes a computer model that makes such estimates. The model uses standard weather reports and terrain heights in deriving wind estimates; the method of computation has been changed from what has been used previously. The performance of the current model is compared with that of the earlier version at three sites; estimates of wind energy at four new sites are also presented.

  11. Wind Resource Assessment in Europe Using Emergy

    E-Print Network [OSTI]

    Paudel, Subodh; Santarelli, Massimo; Martin, Viktoria; Lacarriere, Bruno; Le Corre, Olivier

    2014-01-01T23:59:59.000Z

    Wind energy assessment and wind farm simulation in Triunfo- Pernambuco, Brazil,wind resources for electrical energy production. Wind resources as- sessment of Brazil

  12. TMCC WIND RESOURCE ASSESSMENT

    SciTech Connect (OSTI)

    Turtle Mountain Community College

    2003-12-30T23:59:59.000Z

    North Dakota has an outstanding resource--providing more available wind for development than any other state. According to U.S. Department of Energy (DOE) studies, North Dakota alone has enough energy from good wind areas, those of wind power Class 4 and higher, to supply 36% of the 1990 electricity consumption of the entire lower 48 states. At present, no more than a handful of wind turbines in the 60- to 100-kilowatt (kW) range are operating in the state. The first two utility-scale turbines were installed in North Dakota as part of a green pricing program, one in early 2002 and the second in July 2002. Both turbines are 900-kW wind turbines. Two more wind turbines are scheduled for installation by another utility later in 2002. Several reasons are evident for the lack of wind development. One primary reason is that North Dakota has more lignite coal than any other state. A number of relatively new minemouth power plants are operating in the state, resulting in an abundance of low-cost electricity. In 1998, North Dakota generated approximately 8.2 million megawatt-hours (MWh) of electricity, largely from coal-fired plants. Sales to North Dakota consumers totaled only 4.5 million MWh. In addition, the average retail cost of electricity in North Dakota was 5.7 cents per kWh in 1998. As a result of this surplus and the relatively low retail cost of service, North Dakota is a net exporter of electricity, selling approximately 50% to 60% of the electricity produced in North Dakota to markets outside the state. Keeping in mind that new electrical generation will be considered an export commodity to be sold outside the state, the transmission grid that serves to export electricity from North Dakota is at or close to its ability to serve new capacity. The markets for these resources are outside the state, and transmission access to the markets is a necessary condition for any large project. At the present time, technical assessments of the transmission network indicate that the ability to add and carry wind capacity outside of the state is limited. Identifying markets, securing long-term contracts, and obtaining a transmission path to export the power are all major steps that must be taken to develop new projects in North Dakota.

  13. Community Wind Handbook/Understand Your Wind Resource and Conduct...

    Open Energy Info (EERE)

    Conduct a Preliminary Estimate < Community Wind Handbook Jump to: navigation, search WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHCommunity Wind Handbook WindTurbine-icon.png...

  14. Wind Resource Assessment in Europe Using Emergy

    E-Print Network [OSTI]

    Paudel, Subodh; Santarelli, Massimo; Martin, Viktoria; Lacarriere, Bruno; Le Corre, Olivier

    2014-01-01T23:59:59.000Z

    energy in Vietnam: Resource assessment, development statusWind Resource Assessment in Europe Using Emergy Subodhspeed). Keywords: Wind resource assessment; Emergy Analysis;

  15. Estimation of Wind Speed in Connection to a Wind Turbine

    E-Print Network [OSTI]

    Estimation of Wind Speed in Connection to a Wind Turbine X. Ma #3; , N. K. Poulsen #3; , H. Bindner y December 20, 1995 Abstract The wind speed varies over the rotor plane of wind turbine making the wind speed on the rotor plane will be estimated by using a wind turbine as a wind measuring device

  16. Wind Resource Assessment in Europe Using Emergy

    E-Print Network [OSTI]

    Paudel, Subodh; Santarelli, Massimo; Martin, Viktoria; Lacarriere, Bruno; Le Corre, Olivier

    2014-01-01T23:59:59.000Z

    of the Northern Europe offshore wind resource, Journal ofof theoretical offshore wind farm for Jacksonville, Florida,interesting areas for offshore wind farm construction and

  17. Wind Energy Resource Assessment of the Caribbean and Central America

    SciTech Connect (OSTI)

    DL Elliott; CI Aspliden; GL Gower; CG Holladay, MN Schwartz

    1987-04-01T23:59:59.000Z

    A wind energy resource assessment of the Caribbean and Central America has identified many areas with good to outstanding wind resource potential for wind turbine applications. Annual average wind resource maps and summary tables have been developed for 35 island/country areas throughout the Caribbean and Central America region. The wind resource maps highlight the locations of major resource areas and provide estimates of the wind energy resource potential for typical well-exposed sites in these areas. The average energy in the wind flowing in the layer near the ground is expressed as a wind power class: the greater the average wind energy, the higher the wind power class. The summary tables that are included with each of the 35 island/country wind energy maps provide information on the frequency distribution of the wind speeds (expressed as estimates of the Weibull shape factor, k) and seasonal variations in the wind resource for the major wind resource areas identified on the maps. A new wind power class legend has been developed for relating the wind power classes to values of mean wind power density, mean wind speed, and Weibull k. Guidelines are presented on how to adjust these values to various heights above ground for different roughness and terrain characteristics. Information evaluated in preparing the assessment included existing meteorological data from airports and other weather stations, and from ships and buoys in offshore and coastal areas. In addition, new data from recent measurement sites established for wind energy siting studies were obtained for a few areas of the Caribbean. Other types of information evaluated in the assessment were climatological data and maps on winds aloft, surface pressure, air flow, and topography. The various data were screened and evaluated for their usefulness in preparing the wind resource assessment. Much of the surface data from airports and other land-based weather stations were determined to be from sheltered sites and were thus not very useful in assessing the wind resource at locations that are well exposed to the winds. Ship data were determined to be the most useful for estimating the large-scale wind flow and assessing the spatial distribution of the wind resource throughout the region. Techniques were developed for analyzing and correcting ship wind data and extrapolating these data to coastal and inland areas by considering terrain influences on the large-scale wind flow. In areas where extrapolation of ship wind data was not entirely feasible, such as interior areas of Central America, other techniques were developed for estimating the wind flow and distribution of the wind resource. Through the application of the various innovative techniques developed for assessing the wind resource throughout the Caribbean and Central America region, many areas with potentially good to outstanding wind resource were identified that had not been previously recognized. In areas where existing site data were available from exposed locations, the measured wind resource was compared with the estimated wind resource that was derived using the assessment techniques. In most cases, there was good agreement between the measured wind resource and the estimated wind resource. This assessment project supported activities being pursued by the U.S. Committee for Renewable Energy Commerce and Trade (CORECT), the U.S. government's interagency program to assist in overseas marketing and promote renewable energy exports. An overall goal of the program is to improve U.S. competitiveness in the world renewable energy market. The Caribbean and Central America assessment, which is the first of several possible follow-on international wind energy resource assessments, provides valuable information needed by the U.S. wind energy industry to identify suitable wind resource areas and concentrate their efforts on these areas.

  18. Characterization of wind power resource in the United States*

    E-Print Network [OSTI]

    Characterization of wind power resource in the United States* U. Bhaskar Gunturu and C. Adam Chemistry and Physics Characterization of wind power resource in the United States U. B. Gunturu and C. A, 120 m turbine hub heights. The wind power density (WPD) estimates at 50 m are qualitatively similar

  19. Wavelet Analysis for Wind Fields Estimation

    E-Print Network [OSTI]

    Leite, Gladeston C.

    2013-01-01T23:59:59.000Z

    resource assessment and wind farm development in the UK. Inevaluation of oil spills and wind farms. Keywords: SAR; Winddata to characterize wind farms and their potential energy

  20. NREL: Wind Research - Offshore Wind Resource Characterization

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S.6 DecemberWind Resource

  1. NREL: Wind Research - Site Wind Resource Characteristics

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photofrom U.S.6Site Wind Resource

  2. Probabilistic Wind Resource Assessment and Power Predictions

    E-Print Network [OSTI]

    Firestone, Jeremy

    Probabilistic Wind Resource Assessment and Power Predictions Luca Delle Monache (lucadm Accurate wind resource assessment and power forecasts and reliable quanXficaXon of their uncertainty Mo5va5on · Power forecast: o Increase wind energy penetra

  3. Use of synthetic aperture radar for offshore wind resource assessment and wind farm development in the UK 

    E-Print Network [OSTI]

    Cameron, Iain Dickson

    2008-01-01T23:59:59.000Z

    The UK has an abundant offshore wind resource with offshore wind farming set to grow rapidly over the coming years. Optimisation of energy production is of the utmost importance and accurate estimates of wind speed distributions are critical...

  4. NREL: Wind Research - Wind Resource Assessment

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparency VisitSilver Toyota Prius being drivenandWebmasterWind

  5. Quantifying Offshore Wind Resources from Satellite Wind Maps

    E-Print Network [OSTI]

    Pryor, Sara C.

    the spatial extent of the wake behind large offshore wind farms. Copyright © 2006 John Wiley & Sons, LtdQuantifying Offshore Wind Resources from Satellite Wind Maps: Study Area the North Sea C. B National Laboratory, Roskilde, Denmark Offshore wind resources are quantified from satellite synthetic

  6. Modeling access to wind resources in the United States

    SciTech Connect (OSTI)

    Short, W.D.

    1999-10-20T23:59:59.000Z

    To project the US potential to meet future electricity demands with wind energy, estimates of available wind resource and costs to access that resource are critical. The US Department of Energy (DOE) Energy Information Administration (EIA) annually estimates the US market penetration of wind in its Annual Energy Outlook series. For these estimates, the EIA uses wind resource data developed by the Pacific Northwest National Laboratory for each region of the country. However, the EIA multiplies the cost of windpower by several factors, some as large as 3, to account for resource quality, market factors associated with accessing the resource, electric grid impacts, and rapid growth in the wind industry. This paper examines the rationale behind these additional costs and suggests alternatives.

  7. Development of Regional Wind Resource and Wind Plant Output Datasets...

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

    50-47676 March 2010 Development of Regional Wind Resource and Wind Plant Output Datasets Final Subcontract Report 15 October 2007 - 15 March 2009 3TIER Seattle, Washington National...

  8. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    the need to reassess wind potential estimates in India andDivision Reassessing Wind Potential Estimates for India:July 2011 Reassessing Wind Potential Estimates for India:

  9. Wind Resource Assessment Report: Mille Lacs Indian Reservation, Minnesota

    SciTech Connect (OSTI)

    Jimenez, A. C.

    2013-12-01T23:59:59.000Z

    The U.S. Environmental Protection Agency (EPA) launched the RE-Powering America's Land initiative to encourage development of renewable energy on potentially contaminated land and mine sites. EPA collaborated with the U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL) and the Mille Lacs Band of Chippewa Indians to evaluate the wind resource and examine the feasibility of a wind project at a contaminated site located on the Mille Lacs Indian Reservation in Minnesota. The wind monitoring effort involved the installation of a 60-m met tower and the collection of 18 months of wind data at multiple heights above the ground. This report focuses on the wind resource assessment, the estimated energy production of wind turbines, and an assessment of the economic feasibility of a potential wind project sited this site.

  10. MOWII Webinar: Wind Development Cultural Resource Management

    Broader source: Energy.gov [DOE]

    During the planning stages, wind energy development can be affected by the regulatory process relative to cultural resource management issues. Section 106 of the National Historic Preservation Act ...

  11. Offshore wind resources from satellite SAR Charlotte Bay Hasager, Merete Bruun Christiansen, Morten Nielsen,

    E-Print Network [OSTI]

    Offshore wind resources from satellite SAR Charlotte Bay Hasager, Merete Bruun Christiansen, Morten ocean wind maps were described. For offshore wind resource estimation based on satellite observations and the near-coastal zone (up to 40 km offshore) is not mapped. In contrast, Envisat ASAR wind maps can

  12. Offshore wind resource assessment through satellite images

    E-Print Network [OSTI]

    1 Slide no. 4 Offshore wind resource assessment through satellite images Charlotte Bay Hasager images for offshore wind ressource assessment in lieu of in-situ mast observations #12;4 Slide no Hasager, Dellwik, Nielsen and Furevik, 2004, Validation of ERS-2 SAR offshore wind-speed maps in the North

  13. Solar and Wind Energy Resource Assessment Programme's Renewable...

    Open Energy Info (EERE)

    Solar and Wind Energy Resource Assessment Programme's Renewable Energy Resource Explorer Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar and Wind Energy Resource...

  14. Estimation of resources and reserves

    E-Print Network [OSTI]

    Massachusetts Institute of Technology. Energy Laboratory.

    1982-01-01T23:59:59.000Z

    This report analyzes the economics of resource and reserve estimation. Current concern about energy problems has focused attention on how we measure available energy resources. One reads that we have an eight-year oil ...

  15. Improved Offshore Wind Resource Assessment in Global Climate Stabilization Scenarios

    SciTech Connect (OSTI)

    Arent, D.; Sullivan, P.; Heimiller, D.; Lopez, A.; Eurek, K.; Badger, J.; Jorgensen, H. E.; Kelly, M.; Clarke, L.; Luckow, P.

    2012-10-01T23:59:59.000Z

    This paper introduces a technique for digesting geospatial wind-speed data into areally defined -- country-level, in this case -- wind resource supply curves. We combined gridded wind-vector data for ocean areas with bathymetry maps, country exclusive economic zones, wind turbine power curves, and other datasets and relevant parameters to build supply curves that estimate a country's offshore wind resource defined by resource quality, depth, and distance-from-shore. We include a single set of supply curves -- for a particular assumption set -- and study some implications of including it in a global energy model. We also discuss the importance of downscaling gridded wind vector data to capturing the full resource potential, especially over land areas with complex terrain. This paper includes motivation and background for a statistical downscaling methodology to account for terrain effects with a low computational burden. Finally, we use this forum to sketch a framework for building synthetic electric networks to estimate transmission accessibility of renewable resource sites in remote areas.

  16. NREL: Wind Research - International Wind Resource Maps

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: GridTruck Platooning Testing Photo ofResearchFAST RevsInternational

  17. Assessment of Offshore Wind Energy Resources for the United States...

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

    Offshore Wind Energy Resources for the United States This report summarizes the offshore wind resource potential for the contiguous United States and Hawaii as of May 2009. The...

  18. ORIGINAL PAPER Review of Methodologies for Offshore Wind Resource

    E-Print Network [OSTI]

    Pryor, Sara C.

    ORIGINAL PAPER Review of Methodologies for Offshore Wind Resource Assessment in European Seas A. M installation, operation and maintenance costs associated with offshore wind parks. Successful offshore wind. Keywords Wind energy Á Offshore Á Resources assessment Á European seas Á Wind mapping Á Wind climatology Á

  19. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    Report of Wind Energy Resource Assessment in China. Chinaindependent 3 party wind resource assessment of at least awind_june07.pdf for Wind Resource Assessment and mapping for

  20. Wind Resource Assessment in Europe Using Emergy

    E-Print Network [OSTI]

    Paudel, Subodh; Martin, Viktoria; Lacarriere, Bruno; Corre, Olivier Le

    2015-01-01T23:59:59.000Z

    In context of increasing use of renewable sources, it is of importance to correctly evaluate the actual sustainability of their implementation. Emergy analysis is one of the possible methods useful for such an assessment. This work aims to demonstrate how the emergy approach can be used to assess the sustainability of wind energy resource in Europe. The Emergy Index of Sustainability (EIS) and the Emergy Yield Ratio (EYR) are used to analyze 90 stations of European regions for three types of wind turbines. To do so, the simplified Chou wind turbine model is used for different set of parameters as: nominal power and size of the wind turbines, and cut-in and cut-out wind speeds. Based on the calculation of the emergy indices, a mapping is proposed to identify the most appropriate locations for an implementation of wind turbines in European regions. The influence of the wind turbine type on the sustainability is also analyzed, in link with the local wind resource. Thus, it is concluded that the emergy sustainabi...

  1. Wind Energy Resources and Technologies | Department of Energy

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

    Wind Energy Resources and Technologies Wind Energy Resources and Technologies Photo of two wind turbines standing on a mountain in front of a cloudy blue sky. The Department of...

  2. NANA Wind Resource Assessment Program Final Report

    SciTech Connect (OSTI)

    Jay Hermanson

    2010-09-23T23:59:59.000Z

    NANA Regional Corporation (NRC) of northwest Alaska is located in an area with abundant wind energy resources. In 2007, NRC was awarded grant DE-FG36-07GO17076 by the US Department of Energy's Tribal Energy Program for funding a Wind Resource Assessment Project (WRAP) for the NANA region. The NANA region, including Kotzebue Electric Association (KEA) and Alaska Village Electric Cooperative (AVEC) have been national leaders at developing, designing, building, and operating wind-diesel hybrid systems in Kotzebue (starting in 1996) and Selawik (2002). Promising sites for the development of new wind energy projects in the region have been identified by the WRAP, including Buckland, Deering, and the Kivalina/Red Dog Mine Port Area. Ambler, Shungnak, Kobuk, Kiana, Noorvik & Noatak were determined to have poor wind resources at sites in or very near each community. However, all five of these communities may have better wind resources atop hills or at sites with slightly higher elevations several miles away.

  3. Wind Resource Assessment in Europe Using Emergy

    E-Print Network [OSTI]

    Paudel, Subodh; Santarelli, Massimo; Martin, Viktoria; Lacarriere, Bruno; Le Corre, Olivier

    2014-01-01T23:59:59.000Z

    mance characteristics of wind generator. The wind speed atcharacteristics of the wind generator. When wind speed is

  4. Wind energy resource atlas. Volume 4. The Northeast region

    SciTech Connect (OSTI)

    Pickering, K.E.; Vilardo, J.M.; Schakenbach, J.T.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1980-09-01T23:59:59.000Z

    This atlas of the wind energy resource is composed of introductory and background information, a regional summary of the wind resource, and assessments of the wind resource in each state of the region. Background is presented on how the wind resource is assessed and on how the results of the assessment should be interpreted. A description of the wind resource on a regional scale is then given. The results of the wind energy assessments for each state are assembled in this chapter into an overview and summary of the various features of the regional wind energy resource. An introduction and outline are provided for in the descriptions of the wind resource given for each state. Assessments for individual states are presented. The state wind energy resources are described in greater detail than is the regional wind energy resource, and features of selected stations are discussed. This preface outlines the use and interpretation of the information found in the state chapters.

  5. Wind energy resource atlas. Volume 9. The Southwest Region

    SciTech Connect (OSTI)

    Simon, R.L.; Norman, G.T.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1980-11-01T23:59:59.000Z

    This atlas of the wind energy resource is composed of introductory and background information, a regional summary of the wind resource, and assessments of the wind resource in Nevada and California. Background on how the wind resource is assessed and on how the results of the assessment should be interpreted is presented. A description of the wind resource on a regional scale is then given. The results of the wind energy assessments for each state are assembled into an overview and summary of the various features of the regional wind energy resource. An introduction and outline to the descriptions of the wind resource given for each state are given. Assessments for individual states are presented as separate chapters. The state wind energy resources are described in greater detail than is the regional wind energy resource, and features of selected stations are discussed.

  6. Wind energy resource atlas. Volume 10. Alaska region

    SciTech Connect (OSTI)

    Wise, J.L.; Wentink, T. Jr.; Becker, R. Jr.; Comiskey, A.L.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1980-12-01T23:59:59.000Z

    This atlas of the wind energy resource is composed of introductory and background information, a regional summary of the wind resource, and assessments of the wind resource in each subregion of Alaska. Background is presented on how the wind resource is assessed and on how the results of the assessment should be interpreted. A description of the wind resource on a state scale is given. The results of the wind energy assessments for each subregion are assembled into an overview and summary of the various features of the Alaska wind energy resource. An outline to the descriptions of the wind resource given for each subregion is included. Assessments for individual subregions are presented as separate chapters. The subregion wind energy resources are described in greater detail than is the Alaska wind energy resource, and features of selected stations are discussed. This preface outlines the use and interpretation of the information found in the subregion chapters.

  7. Using satellite data for mapping offshore wind resources and wakes

    E-Print Network [OSTI]

    (no wind) Horns Rev Offshore Wind Farm Blaavandshuk Met. mast N #12;Wind Horns Rev Wind speed map from · Wake near large offshore wind farms is quantified in space and time · Software for usersUsing satellite data for mapping offshore wind resources and wakes Charlotte Bay Hasager, Merete

  8. Illinois/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia,IDGWP Wind FarmInformationIllinois/Wind Resources <

  9. Four Corners Wind Resource Center Webinar: Recent Developments...

    Energy Savers [EERE]

    Recent Developments in Western Energy Markets, the EIM, and the Integration of Wind Energy Four Corners Wind Resource Center Webinar: Recent Developments in Western Energy...

  10. Wind Integration, Transmission, and Resource Assessment and Characterization Projects

    Broader source: Energy.gov [DOE]

    This report covers the Wind and Water Power Program’s Wind Integration, Transmission, and Resource Assessment and Characterization Projects from FY 2006 to FY 2014.

  11. Wind energy resource atlas. Volume 5: the East Central Region

    SciTech Connect (OSTI)

    Brode, R.; Stoner, R.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1980-01-01T23:59:59.000Z

    This atlas of the wind energy resource is composed of introductory and background information, a regional summary of the wind resource, and assessments of the wind resource in each state of the region. Background is presented on how the wind resource is assessed and on how the results of the assessment should be interpreted. A description of the wind resource on a regional scale is then given. The results of the wind energy assessments for each state are assembled into an overview and summary of the various features of the regional wind energy resource. Assessments for individual states are presented as separate chapters. The state wind energy resources are described in greater detail than is the regional wind energy resource, and features of selected stations are discussed. This preface outlines the use and interpretation of the information found in the state chapters. States include Delaware, Maryland, Kentucky, North Carolina, Tennessee, Virginia, and West Virginia.

  12. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    MW installed worldwide. 6 Wind energy costs in India areWe estimate the cost of wind energy and compare it with

  13. Wind resource assessment with a mesoscale non-hydrostatic model

    E-Print Network [OSTI]

    Boyer, Edmond

    Wind resource assessment with a mesoscale non- hydrostatic model Vincent Guénard, Center for Energy is developed for assessing the wind resource and its uncertainty. The work focuses on an existing wind farm mast measurements. The wind speed and turbulence fields are discussed. It is shown that the k

  14. Improvement of Offshore Wind Resource Modeling in the Mid-

    E-Print Network [OSTI]

    Firestone, Jeremy

    Improvement of Offshore Wind Resource Modeling in the Mid- Atlantic Bight Wind Energy Symposium Sienkiewicz , Chris Hughes 26 February 2013 #12;Improving Atmospheric Models for Offshore Wind Resource Interaction Tower ­ 23 m NOAA Buzzard's Bay Tower ­ 25 m Cape Wind Tower (60 m from 2003-2011; just platform

  15. Wind Resource Assessment in Europe Using Emergy

    E-Print Network [OSTI]

    Paudel, Subodh; Santarelli, Massimo; Martin, Viktoria; Lacarriere, Bruno; Le Corre, Olivier

    2014-01-01T23:59:59.000Z

    potential on Hong Kong islands - an analysis of wind power and wind turbine characteristics, Renewable Energy,

  16. AWEA Wind Resource & Project Energy Assessment Seminar 2014 ...

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

    AWEA Wind Resource & Project Energy Assessment Seminar 2014 AWEA Wind Resource & Project Energy Assessment Seminar 2014 December 2, 2014 8:00AM EST to December 3, 2014 5:00PM EST...

  17. Energy Department Releases New Land-Based/Offshore Wind Resource...

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

    up to 50 nautical miles from shore. It allows users to easily compare land-based with offshore wind resources. For example, it shows that the offshore wind resource of the...

  18. The Potential Wind Power Resource in Australia: A New Perspective

    E-Print Network [OSTI]

    Hallgren, Willow

    Australia is considered to have very good wind resources, and the utilization of this renewable energy resource is increasing. Wind power installed capacity increased by 35% from 2006 to 2011 and is predicted to account ...

  19. The Potential Wind Power Resource in Australia: A New Perspective

    E-Print Network [OSTI]

    Hallgren, Willow

    Australia’s wind resource is considered to be very good, and the utilization of this renewable energy resource is increasing rapidly: wind power installed capacity increased by 35% from 2006 to 2011 and is predicted to ...

  20. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    planning, policies, and programs, wind energy can be a coreof Wind Integration in the Tamil Nadu Grid. Energy PolicyEnergy Technologies Division Reassessing Wind Potential Estimates for India: Economic and Policy

  1. Fuzzy Estimation of DC Motor Winding Currents Innovatia Software

    E-Print Network [OSTI]

    Simon, Dan

    stator windings. an attractive alternative to current estimation using In order to implement an e. The fuzzy estimator is applied to actual motor wind- When the stator and rotor °uxes are not aligned the rotor stator winding current estimation. #12;2 Fuzzy Estimation The output of the correction mapping

  2. Virginia/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global EnergyUtility RateVirginia/Wind Resources < Virginia Jump to:

  3. Alabama/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008EnergyAlabama/Wind Resources <

  4. Iowa/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtelInterias Solar Energy Jump to:IESIntervalIosilPark,Iowa/Wind Resources

  5. Massachusetts/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose Bend <Stevens JumpMassachusetts/Wind Resources < Massachusetts

  6. Tennessee/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries PvtStratosolar JumpTennessee/Wind Resources < Tennessee Jump to: navigation,

  7. Arizona/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcatAntrim County,DelhiArdmore,Ariton,EnergyTUVArizona/Wind Resources

  8. Calwind Resources Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:Power LPInformation 8thCalwind II CEC Wind Farm Jump to:Resources

  9. Wind Resource Assessment in Europe Using Emergy

    E-Print Network [OSTI]

    Paudel, Subodh; Santarelli, Massimo; Martin, Viktoria; Lacarriere, Bruno; Le Corre, Olivier

    2014-01-01T23:59:59.000Z

    of theoretical offshore wind farm for Jacksonville, Florida,interesting areas for offshore wind farm construction andof theoretical offshore wind farm on Jacksonville, Florida

  10. Wind Atlas for Egypt A national database for wind resource assessment and

    E-Print Network [OSTI]

    Wind Atlas for Egypt A national database for wind resource assessment and wind power planning Niels G. Mortensen Wind Energy Department Risř National Laboratory MENAREC 3, Cairo, Egypt 12 June 2006 #12;Acknowledgements The "Wind Atlas for Egypt" is the result of a comprehensive team effort! · New

  11. NREL: Renewable Resource Data Center - Wind Resource Information

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid Integration NRELCost of6Data The following solarWind Resource

  12. National-Scale Wind Resource Assessment for Power Generation (Presentation)

    SciTech Connect (OSTI)

    Baring-Gould, E. I.

    2013-08-01T23:59:59.000Z

    This presentation describes the current standards for conducting a national-scale wind resource assessment for power generation, along with the risk/benefit considerations to be considered when beginning a wind resource assessment. The presentation describes changes in turbine technology and viable wind deployment due to more modern turbine technology and taller towers and shows how the Philippines national wind resource assessment evolved over time to reflect changes that arise from updated technologies and taller towers.

  13. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    Estimates for India: Economic and Policy Implications AmolEstimates for India: Economic and Policy Implications Amolpolicies, and programs, wind energy can be a core component of India’

  14. Hurricane Wind Field Estimation from SeaWinds at Ultra High Resolution

    E-Print Network [OSTI]

    Long, David G.

    Hurricane Wind Field Estimation from SeaWinds at Ultra High Resolution Brent A. Williams and David) are inherently noisier than the standard 25km products and the high rain rates often associated with hurricanes. This paper develops a new procedure for hurricane wind field estimation from the SeaWinds instrument at ultra

  15. Wind Resource Map: Mexico | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Wind Project Jump to:Wilson Hot SpringNevada:Data0-'92Atlas

  16. Wyoming/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Wind Projectsource History View New Pages Recent

  17. Alaska/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seikiand Telephone CoStatutes: Title 38Alaska/Wind

  18. Kansas/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtelInteriasIowa: EnergyKanabec County, Minnesota:KankakeeKansas/Wind

  19. Maine/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose Bend < MHKconvertersource History View New Pages RecentMaine/Wind

  20. Indiana/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty,Jump7 VarnishInformation Company SmartIndiana/Wind

  1. Missouri/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman Wind LLC

  2. NREL: Learning - Student Resources on Wind Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid Integration NREL isDataWorking withFuelSolar Energy TheWind

  3. Solar and Wind Energy Resource Assessment (SWERA)

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit with form HistoryRistmaSinosteelSolar Energy sroWiki Page Solar and Wind Energy

  4. Nevada/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall, Pennsylvania: EnergyEnergyPPCR) JumpAirWorkInformationNevada/Wind

  5. Wind Resource Assessment Overview | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapers Home Kyoung's pictureWind Power Energia JumpMaps.jpg The first

  6. Wind Resource Assessment | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapers Home Kyoung's pictureWind Power Energia JumpMaps.jpg The

  7. Wind Power Resource Assessment in Ohio and Puerto Rico

    E-Print Network [OSTI]

    Womeldorf, Carole

    Wind Power Resource Assessment in Ohio and Puerto Rico: A Motivational and Educational Tool Juan University, Athens, Ohio Abstract This paper presents an educational guide and example of a wind resource calculations. New data representing wind speed and direction for locations in Ohio and Puerto Rico

  8. Characterization of the Wind Power Resource in Europe and its

    E-Print Network [OSTI]

    Characterization of the Wind Power Resource in Europe and its Intermittency Alexandra Cosseron, C;1 Characterization of the Wind Power Resource in Europe and its Intermittency Alexandra Cosseron* , C. Adam Schlosser , and Udaya Bhaskar Gunturu Abstract Wind power is assessed over Europe, with special attention given

  9. The Potential Wind Power Resource in Australia: A New Perspective*

    E-Print Network [OSTI]

    The Potential Wind Power Resource in Australia: A New Perspective* Willow Hallgren, Udaya Bhaskar: globalchange@mit.edu Website: http://globalchange.mit.edu/ #12;The Potential Wind Power Resource in Australia density, and analyzes the variation of these characteristics with current and potential wind turbine hub

  10. The Potential Wind Power Resource in Australia: A New Perspective

    E-Print Network [OSTI]

    The Potential Wind Power Resource in Australia: A New Perspective Willow Hallgren, Udaya Bhaskar;1 The Potential Wind Power Resource in Australia: A New Perspective Willow Hallgren* , Udaya Bhaskar Gunturu intermittency can potentially be mitigated by the aggregation of geographically dispersed wind farms. Our

  11. Wind power resource assessment in complex urban environments

    E-Print Network [OSTI]

    in Computational Fluid Dynamics (CFD) methods holds potential for the advancement of wind energy resource buildings. CFD simulations have been used to evaluate the wind energy potential on the campus. 2 Objectives The aim of this study is to assess wind energy resource on the MIT campus for potential

  12. South Dakota Wind Resource Assessment Network (WRAN)

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

    WRAN is a network of instrument stations sited throughout South Dakota. As of 2010, there are eleven stations, and some have been collecting data since 2001. The purpose of the WRAN:

    There are several reasons why the WRAN was built. One of the most obvious is that it will allow verification of the existing resource assessments of our state. South Dakota has tremendous potential as an exporter of wind-generated electricity. There has recently been a great deal of publicity over a Pacific Northwest National Laboratories study conducted in the early 1990s that ranked the contiguous 48 states in terms of their potential to produce windpower. (Click here for the results of this study as given by the American Wind Energy Association.) South Dakota ranked fourth in that study. Also, more recently, detailed maps of the wind resource in South Dakota were produced by the National Renewable Energy Laboratory (NREL). Unfortunately, both of these studies had to rely heavily on computer-generated models and very sparse measured data, because very little appropriate measured data exists. The WRAN will provide valuable data that we anticipate will validate the NREL maps, and perhaps suggest minor adjustments.

    There are many other benefits the WRAN will provide. The data it will measure will be at heights above ground that are more appropriate for predicting the performance of large modern wind turbines, as opposed to data collected at National Weather Service stations whose anemometers are usually only about 9 m (30 feet) above ground. Also, we will collect some different types of data than most wind measurement networks, which will allow a series of important studies of the potential impact and value of South Dakota's windpower. In addition, all of the WRAN data will be made available to the public via this WWWeb site. This will hopefully enable extensive informed discussion among all South Dakotans on such important topics as rural economic development and transmission system expansion. [Copied from http://sdwind.com/about/

  13. Development of Eastern Regional Wind Resource and Wind Plant Output Datasets: March 3, 2008 -- March 31, 2010

    SciTech Connect (OSTI)

    Brower, M.

    2009-12-01T23:59:59.000Z

    The objective of this project was to provide wind resource inputs to the Eastern Wind Integration and Transmission Study.

  14. Wind Resource and Feasibility Assessment Report for the Lummi Reservation

    SciTech Connect (OSTI)

    DNV Renewables (USA) Inc.; J.C. Brennan & Associates, Inc.; Hamer Environmental L.P.

    2012-08-31T23:59:59.000Z

    This report summarizes the wind resource on the Lummi Indian Reservation (Washington State) and presents the methodology, assumptions, and final results of the wind energy development feasibility assessment, which included an assessment of biological impacts and noise impacts.

  15. BIRD MORTALITY IN THE ALTAMONT PASS WIND RESOURCE AREA 3.1 INTRODUCTION

    E-Print Network [OSTI]

    46 CHAPTER 3 BIRD MORTALITY IN THE ALTAMONT PASS WIND RESOURCE AREA 3.1 INTRODUCTION The approximately 5,400 wind turbines operating in the APWRA generate about 580 MW of electricity, but they also estimates in terms of mortality, without regard to local species' populations. Mortality was expressed

  16. Wind Resource Assessment in Europe Using Emergy

    E-Print Network [OSTI]

    Paudel, Subodh; Santarelli, Massimo; Martin, Viktoria; Lacarriere, Bruno; Le Corre, Olivier

    2014-01-01T23:59:59.000Z

    of wind turbine assessment based on energy, exergy, LCA andLCA and emergy) in the case of sustainability assessment of windLCA does. In emergy analysis, direct and indirect inputs of wind

  17. Wind Resource Assessment in Europe Using Emergy

    E-Print Network [OSTI]

    Paudel, Subodh; Santarelli, Massimo; Martin, Viktoria; Lacarriere, Bruno; Le Corre, Olivier

    2014-01-01T23:59:59.000Z

    to change in upstream and downstream wind speed from 850 kW,1650 kW and 3000 kW wind turbinesseJ/J) Transformity of Wind Turbine (1650kW) Latitude

  18. MSU-Wind Applications Center: Wind Resource Worksheet Theoretical Power Calculation

    E-Print Network [OSTI]

    Dyer, Bill

    MSU-Wind Applications Center: Wind Resource Worksheet Theoretical Power Calculation Equations: A= swept area = air density v= velocity R= universal gas constant Steps: 1. Measure wind speed from fan. = ___________/(________*________)= _________kg/m3 5. Theoretical Power a. Low Setting Theoretical Wind Power i. Power= ˝*______*______*______*.59

  19. Wind resources and wind farm wake effects offshore observed from satellite

    E-Print Network [OSTI]

    Wind resources and wind farm wake effects offshore observed from satellite Charlotte Bay Hasager to quantify the wake effect at two large offshore wind farms in Denmark. It is found that the wake velocity further. There is fast progress on planning and installation of offshore wind farms in the European waters

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

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B. M.

    2014-04-01T23:59:59.000Z

    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.

  1. Wind Technology Advancements and Impacts on Western Wind Resources (Presentation)

    SciTech Connect (OSTI)

    Robichaud, R.

    2014-09-01T23:59:59.000Z

    Robi Robichaud made this presentation at the Bureau of Land Management West-wide Wind Opportunities and Constraints Mapping (WWOCM) Project public meeting in Denver, Colorado in September 2014. This presentation outlines recent wind technology advancements, evolving turbine technologies, and industry challenges. The presentation includes maps of mean wind speeds at 50-m, 80-m, and 100-m hub heights on BLM lands. Robichaud also presented on the difference in mean wind speeds from 80m to 100m in Wyoming.

  2. The impact of climate change on the U.S. wind energy resource

    SciTech Connect (OSTI)

    Daniel Kirk-Davidoff; Daniel Barrie

    2013-03-19T23:59:59.000Z

    The growing need for low-carbon emitting electricity sources has resulted in rapid growth in the wind power industry. The size and steadiness of the offshore wind resource has attracted growing investment in the planning of offshore wind turbine installations. Decisions about the location and character of wind farms should be made with an eye not only to present but also future wind resource, which may change as increasing carbon dioxide forces reductions in the poleward temperature gradient, and thus potentially in the mean tropospheric westerly winds. I propose to use the new North American Regional Climate Change Assessment Program climate projections to estimate the change of the wind power resource under various carbon dioxide loading scenarios and for a range of climate models. We will compare our assessment with both our assessment based on the IPCC AR4 model runs, to explore the extent to which improved model resolution changes the prediction for the wind power resource, and with present day estimates from reanalysis and scatterometer winds.

  3. Wind energy resources atlas. Volume 1. Northwest region

    SciTech Connect (OSTI)

    Elliott, D.L.; Barchet, W.R.

    1980-04-01T23:59:59.000Z

    Information is presented concering regional wind energy resource assessment; regional features; and state features for Idaho, Montana, Oregon, Washington, and Wyoming.

  4. Floating Offshore Wind Technology Generating Resources Advisory Committee

    E-Print Network [OSTI]

    Floating Offshore Wind Technology Jeff King Generating Resources Advisory Committee May 28, 2014 1 to site) Potential interconnection to future offshore PNWCA intertie 4 #12;5 Ave wind speed >= 10 m. (2010) Large-scale Offshore Wind Power in the United States National Renewable Energy Laboratory. (2012

  5. Wavelet Analysis for Wind Fields Estimation

    E-Print Network [OSTI]

    Leite, Gladeston C.

    2013-01-01T23:59:59.000Z

    W. ; Feser, F. Relationship between SAR-derived wind vectorsand wind at 10- m height represented by a meososcale model.Yijun, H. Comparison of two wind algorithms of ENVISAT ASAR

  6. Wind energy resource atlas. Volume 3. Great Lakes Region

    SciTech Connect (OSTI)

    Paton, D.L.; Bass, A.; Smith, D.G.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-02-01T23:59:59.000Z

    The Great Lakes Region atlas assimilates six collections of wind resource data, one for the region and one for each of the five states that compose the Great Lakes region: Illinois, Indiana, Michigan, Ohio, Wisconsin. At the state level, features of the climate, topography, and wind resource are discussed in greater detail than in the regional discussion and the data locations on which the assessment is based are mapped. Variations over several time scales in the wind resource at selected stations in each state are shown on graphs of monthly average and interannual wind speed and power, and of hourly average wind speed for each season. Other graphs present speed, direction, and duration frequencies of the wind at these locations.

  7. Wind energy resource atlas: Volume 6. The Southeast region

    SciTech Connect (OSTI)

    Zabransky, J.; Vilardo, J.M.; Schakenbach, J.T.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-01-01T23:59:59.000Z

    The Southeast atlas assimilates six collections of wind resource data: one for the region and one for each of the five states that compose the Southeast region (Alabama, Florida, Georgia, Mississippi, and South Carolina). At the state level, features of the climate, topography and wind resource are discussed in greater detail than is provided in the regional discussion, and the data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in each state are shown on graphs of monthly average and interannual wind speed and power, and hourly average wind speed for each season. Other graphs present speed, direction and duration frequencies of the wind at these locations.

  8. Wind energy resource atlas. Volume 2. The North Central Region

    SciTech Connect (OSTI)

    Freeman, D.L.; Hadley, D.L.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-02-01T23:59:59.000Z

    The North Central atlas assimilates six collections of wind resource data: one for the region and one for each of the five states that compose the North Central region (Iowa, Minnesota, Nebraska, North Dakota, and South Dakota). At the state level, features of the climate, topography and wind resource are discussed in greater detail than is provided in the regional discussion, and that data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in each state are shown on graphs of monthly average and international wind speed and power, and hourly average wind speed for each season. Other graphs present speed direction and duration frequencies of the wind at these locations.

  9. Wind energy resource atlas. Volume 7. The south central region

    SciTech Connect (OSTI)

    Edwards, R.L.; Graves, L.F.; Sprankle, A.C.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-03-01T23:59:59.000Z

    This atlas of the south central region combines seven collections of wind resource data: one for the region, and one for each of the six states (Arkansas, Kansas, Louisiana, Missouri, Oklahoma, and Texas). At the state level, features of the climate, topography, and wind resource are discussed in greater detail than that provided in the regional discussion, and the data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in each state are shown on graphs of monthly average and interannual wind speed and power, and hourly average wind speed for each season. Other graphs present speed, direction, and duration frequencies of the wind at these locations.

  10. Wind Resource Assessment in Europe Using Emergy

    E-Print Network [OSTI]

    Paudel, Subodh; Santarelli, Massimo; Martin, Viktoria; Lacarriere, Bruno; Le Corre, Olivier

    2014-01-01T23:59:59.000Z

    of an Italian wind farm, Renewable and Sustainable Energyof size on energyy yield, Renewable and Sustainable EnergyPernambuco, Brazil, Renewable Energy, 35, 2705-2713. Lu,

  11. U.S. Department of Energy Workshop Report - Research Needs for Wind Resource Characterization

    SciTech Connect (OSTI)

    Schreck, S.; Lundquist, J.; Shaw, W.

    2008-06-01T23:59:59.000Z

    This workshop brought the different atmospheric and wind technology specialists together to evaluate research needs for wind resource characterization.

  12. EWEC 2006 Wind Energy Conference and Exhibition Turbine Wake Model for Wind Resource Software

    E-Print Network [OSTI]

    EWEC 2006 Wind Energy Conference and Exhibition 1 Turbine Wake Model for Wind Resource Software Ole) AT: #12;EWEC 2006 Wind Energy Conference and Exhibition 2 21 2 0TT C U= (1) 0 0(1 )wU a U= - (2); 1.5 0.75 AR Aw0 U0 Uw0 T #12;EWEC 2006 Wind Energy Conference and Exhibition 3 ( )2 0 1 ( , ) 1

  13. Improvement of risk estimate on wind turbine tower buckled by hurricane

    E-Print Network [OSTI]

    Li, Jingwei

    2013-01-01T23:59:59.000Z

    Wind is one of the important reasonable resources. However, wind turbine towers are sure to be threatened by hurricanes. In this paper, method to estimate the number of wind turbine towers that would be buckled by hurricanes is discussed. Monte Carlo simulations show that our method is much better than the previous one. Since in our method, the probability density function of the buckling probability of a single turbine tower in a single hurricane is obtained accurately but not from one approximated expression. The result in this paper may be useful to the design and maintenance of wind farms.

  14. Session: What can we learn from developed wind resource areas

    SciTech Connect (OSTI)

    Thelander, Carl; Erickson, Wally

    2004-09-01T23:59:59.000Z

    This session at the Wind Energy and Birds/Bats workshop was composed of two parts intended to examine what existing science tells us about wind turbine impacts at existing wind project sites. Part one dealt with the Altamont Wind Resource area, one of the older wind projects in the US, with a paper presented by Carl Thelander titled ''Bird Fatalities in the Altamont Pass Wind Resource Area: A Case Study, Part 1''. Questions addressed by the presenter included: how is avian habitat affected at Altamont and do birds avoid turbine sites; are birds being attracted to turbine strings; what factors contribute to direct impacts on birds by wind turbines at Altamont; how do use, behavior, avoidance and other factors affect risk to avian species, and particularly impacts those species listed as threatened, endangered, or of conservation concern, and other state listed species. The second part dealt with direct impacts to birds at new generation wind plants outside of California, examining such is sues as mortality, avoidance, direct habitat impacts from terrestrial wind projects, species and numbers killed per turbine rates/MW generated, impacts to listed threatened and endangered species, to USFWS Birds of Conservation Concern, and to state listed species. This session focused on newer wind project sites with a paper titled ''Bird Fatality and Risk at New Generation Wind Projects'' by Wally Erickson. Each paper was followed by a discussion/question and answer period.

  15. NREL Triples Previous Estimates of U.S. Wind Power Potential (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-07-01T23:59:59.000Z

    The National Renewable Energy Laboratory (NREL) recently released new estimates of the U.S. potential for wind-generated electricity, using advanced wind mapping and validation techniques to triple previous estimates of the size of the nation's wind resources. The new study, conducted by NREL and AWS TruePower, finds that the contiguous 48 states have the potential to generate up to 37 million gigawatt-hours annually. In comparison, the total U.S. electricity generation from all sources was roughly 4 million gigawatt-hours in 2009.

  16. A CRITICAL REVIEW OF WIND TRANSMISSION COST ESTIMATES FROM MAJOR TRANSMISSION PLANNING EFFORTS

    E-Print Network [OSTI]

    Mills, Andrew; Wiser, Ryan; Porter, Kevin

    2007-01-01T23:59:59.000Z

    A CRITICAL REVIEW OF WIND TRANSMISSION COST ESTIMATES FROMof establishing a wind transmission cost adder with respectthat involve wind and divide the cost by the relative share

  17. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    SciTech Connect (OSTI)

    Phadke, Amol; Bharvirkar, Ranjit; Khangura, Jagmeet

    2011-09-15T23:59:59.000Z

    We assess developable on-shore wind potential in India at three different hub-heights and under two sensitivity scenarios – one with no farmland included, the other with all farmland included. Under the “no farmland included” case, the total wind potential in India ranges from 748 GW at 80m hub-height to 976 GW at 120m hub-height. Under the “all farmland included” case, the potential with a minimum capacity factor of 20 percent ranges from 984 GW to 1,549 GW. High quality wind energy sites, at 80m hub-height with a minimum capacity factor of 25 percent, have a potential between 253 GW (no farmland included) and 306 GW (all farmland included). Our estimates are more than 15 times the current official estimate of wind energy potential in India (estimated at 50m hub height) and are about one tenth of the official estimate of the wind energy potential in the US.

  18. Characterization of wind power resource in the United States

    E-Print Network [OSTI]

    Gunturu, Udaya Bhaskar

    Wind resource in the continental and offshore United States has been reconstructed and characterized using metrics that describe, apart from abundance, its availability, persistence and intermittency. The Modern Era ...

  19. Wind Resource Assessment Handbook: Fundamentals for Conducting a Successful Monitoring

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWind IndustryWindWindWind W

  20. Wind Resource Mapping of the State of Vermont

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWind IndustryWindWindWind

  1. Session: Wind resources and site characterisation 1 (BT1.3) Track: Technical

    E-Print Network [OSTI]

    . The validation is based on meteorological and wind farm production data from about 10 wind farms, situated) application of the results for improved wind farm power production predictions as well as wind resource on meteorological and wind turbine data from about 10 wind farms in complex terrain. The wind farm sites are located

  2. Wind resource assessment: San Nicolas Island, California

    SciTech Connect (OSTI)

    McKenna, E. [National Renewable Energy Lab., Golden, CO (United States); Olsen, T.L. [Timothy L. Olsen Consulting, (United States)

    1996-01-01T23:59:59.000Z

    San Nicolas Island (SNI) is the site of the Navy Range Instrumentation Test Site which relies on an isolated diesel-powered grid for its energy needs. The island is located in the Pacific Ocean 85 miles southwest of Los Angeles, California and 65 miles south of the Naval Air Weapons Station (NAWS), Point Mugu, California. SNI is situated on the continental shelf at latitude N33{degree}14` and longitude W119{degree}27`. It is approximately 9 miles long and 3.6 miles wide and encompasses an area of 13,370 acres of land owned by the Navy in fee title. Winds on San Nicolas are prevailingly northwest and are strong most of the year. The average wind speed is 7.2 m/s (14 knots) and seasonal variation is small. The windiest months, March through July, have wind speeds averaging 8.2 m/s (16 knots). The least windy months, August through February, have wind speeds averaging 6.2 m/s (12 knots).

  3. Development of Regional Wind Resource and Wind Plant Output Datasets for the Hawaiian Islands

    SciTech Connect (OSTI)

    Manobianco, J.; Alonge, C.; Frank, J.; Brower, M.

    2010-07-01T23:59:59.000Z

    In March 2009, AWS Truepower was engaged by the National Renewable Energy Laboratory (NREL) to develop a set of wind resource and plant output data for the Hawaiian Islands. The objective of this project was to expand the methods and techniques employed in the Eastern Wind Integration and Transmission Study (EWITS) to include the state of Hawaii.

  4. Wavelet Analysis for Wind Fields Estimation

    E-Print Network [OSTI]

    Leite, Gladeston C.

    2013-01-01T23:59:59.000Z

    SAR images of the ocean using wavelet analysis. Canadian J.images: A new approach using wavelet transform. Canadian J.S. ; De Biasio, F. A wavelet-based technique for sea wind

  5. Kaneohe, Hawaii Wind Resource Assessment Report

    SciTech Connect (OSTI)

    Robichaud, R.; Green, J.; Meadows, B.

    2011-11-01T23:59:59.000Z

    The Department of Energy (DOE) has an interagency agreement to assist the Department of Defense (DOD) in evaluating the potential to use wind energy for power at residential properties at DOD bases in Hawaii. DOE assigned the National Renewable Energy Laboratory (NREL) to facilitate this process by installing a 50-meter (m) meteorological (Met) tower on residential property associated with the Marine Corps Base Housing (MCBH) Kaneohe Bay in Hawaii.

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

    SciTech Connect (OSTI)

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

    1983-08-01T23:59:59.000Z

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

  7. New Facility to Shed Light on Offshore Wind Resource (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-05-01T23:59:59.000Z

    Chesapeake Light Tower facility will gather key data for unlocking the nation's vast offshore wind resource.

  8. On Quantum Channel Estimation with Minimal Resources

    E-Print Network [OSTI]

    M. Zorzi; F. Ticozzi; A. Ferrante

    2011-06-10T23:59:59.000Z

    We determine the minimal experimental resources that ensure a unique solution in the estimation of trace-preserving quantum channels with both direct and convex optimization methods. A convenient parametrization of the constrained set is used to develop a globally converging Newton-type algorithm that ensures a physically admissible solution to the problem. Numerical simulations are provided to support the results, and indicate that the minimal experimental setting is sufficient to guarantee good estimates.

  9. Assessment of Offshore Wind Energy Resources for the United States |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyDepartmentWind Siting Articles about Wind SitingBStatesDepartment

  10. WINDExchange: Offshore 90-Meter Wind Maps and Wind Resource Potential

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin: EnergyWyandanch,EagaAbout Printable VersionNews This

  11. Potential for Development of Solar and Wind Resource in Bhutan

    SciTech Connect (OSTI)

    Gilman, P.; Cowlin, S.; Heimiller, D.

    2009-09-01T23:59:59.000Z

    With support from the U.S. Agency for International Development (USAID), the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) produced maps and data of the wind and solar resources in Bhutan. The solar resource data show that Bhutan has an adequate resource for flat-plate collectors, with annual average values of global horizontal solar radiation ranging from 4.0 to 5.5 kWh/m2-day (4.0 to 5.5 peak sun hours per day). The information provided in this report may be of use to energy planners in Bhutan involved in developing energy policy or planning wind and solar projects, and to energy analysts around the world interested in gaining an understanding of Bhutan's wind and solar energy potential.

  12. Research Summary Estimating Woodfuel Resource Cost Curves

    E-Print Network [OSTI]

    and extraction methods. Background Just under half of the final energy consumed in the UK (49%) is in the formResearch Summary Estimating Woodfuel Resource Cost Curves As a renewable energy source, woodfuel. The woodfuel strategy adopted by Forestry Commission England supports delivery of these. It aims to sustainably

  13. Avian use of Norris Hill Wind Resource Area, Montana

    SciTech Connect (OSTI)

    Harmata, A.; Podruzny, K.; Zelenak, J. [Montana State Univ., Bozeman, MT (United States). Biology Dept.

    1998-07-01T23:59:59.000Z

    This document presents results of a study of avian use and mortality in and near a proposed wind resource area in southwestern Montana. Data collected in autumn 1995 through summer 1996 represented preconstruction condition; it was compiled, analyzed, and presented in a format such that comparison with post-construction data would be possible. The primary emphasis of the study was recording avian migration in and near the wind resource area using state-of-the-art marine surveillance radar. Avian use and mortality were investigated during the breeding season by employing traditional avian sampling methods, radiotelemetry, radar, and direct visual observation. 61 figs., 34 tabs.

  14. Illinois/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia,IDGWP Wind FarmInformationIllinois/Wind Resources

  15. Indiana/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia,IDGWP WindSatelliteInSARIndianaIndiana/Wind Resources/Full

  16. Iowa/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano, Hawaii | OpenSuperior Wind FarmIowa/Wind Resources/Full

  17. Missouri/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman Wind LLCMissouri/Wind Resources/Full

  18. Arkansas/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: Energy ResourcesInformation Arizona's 6thsourcesource History

  19. Avian Monitoring and Risk Assessment at the San Gorgonio Wind Resource Area

    SciTech Connect (OSTI)

    Anderson, R.; Tom, J.; Neumann, N.; Erickson, W. P.; Strickland, M. D.; Bourassa, M.; Bay, K. J.; Sernka, K. J.

    2005-08-01T23:59:59.000Z

    The primary objective of this study at the San Gorgonio Wind Resource Area was to estimate and compare bird utilization, fatality rates, and the risk index among factors including bird taxonomic groups, wind turbine and reference areas, wind turbine sizes and types, and geographic locations. The key questions addressed to meet this objective include: (1) Are there any differences in the level of bird activity, called ''utilization rate'' or ''use'', with the operating wind plant and within the surrounding undeveloped areas (reference area)?; (2) Are there any differences in the rate of bird fatalities (or avian fatality) within the operating wind plant or the surrounding undeveloped areas (reference area)?; (3) Does bird use, fatality rates, or bird risk index vary according to the geographic location, type and size of wind turbine, and/or type of bird within the operating wind plant and surrounding undeveloped areas (reference area)?; and (4) How do raptor fatality rates at San Gorgonio compare to other wind projects with comparable data?

  20. Ris-R-Report Satellite SAR wind resource mapping in China

    E-Print Network [OSTI]

    -Shore Wind Energy Resource Assessment and Feasibility Study of Off-Shore Wind Farm Development in China). The detailed wind resource maps will be used, in combination with other data sets, for an assessment;Risø-R-1706(EN) 5 1 Introduction The project `Off-Shore Wind Energy Resource Assessment and Feasibility

  1. Estimation of turbulence level and scale for wind turbine applications

    SciTech Connect (OSTI)

    Powell, D.C.

    1988-11-01T23:59:59.000Z

    A simplified method is presented for estimating onsite turbulence variance within the wind turbine layer for horizontal wind speed. The method is based principally on estimating the probability distribution of wind speed and assigning a variance to each mean wind speed based on surface roughness estimates. The model is not proposed as an alternative to onsite measurement and analysis, but rather as an adjunct to such a program. A revision of the Kaimal neutral u-component spectrum is suggested to apply to the mix of the stabilities occurring during operational winds. Values of integral length scale calculated from data analysis are shown to contradict the length scale model implicit in turbulence power spectra. Also, these calculated values are shown to be extremely sensitive to the length of the time series and the detrending method used. The analysis and modeling are extended to the rotational frame of reference for a horizontal-axis wind turbine by modeling the ratios of harmonic spike variances (1P, 2P, etc.) in the rotational spectrum to the Eulerian turbulence variance. 15 refs., 11 figs., 3 tabs.

  2. Solar and Wind Resource Assessments for Afghanistan and Pakistan

    SciTech Connect (OSTI)

    Renne, D. S.; Kelly, M.; Elliott, D.; George, R.; Scott, G.; Haymes, S.; Heimiller, D.; Milbrandt, A.; Cowlin, S.; Gilman, P.; Perez, R.

    2007-01-01T23:59:59.000Z

    The U.S. National Renewable Energy Laboratory (NREL) has recently completed the production of high-resolution wind and solar energy resource maps and related data products for Afghanistan and Pakistan. The resource data have been incorporated into a geospatial toolkit (GsT), which allows the user to manipulate the resource information along with country-specific geospatial information such as highway networks, power facilities, transmission corridors, protected land areas, etc. The toolkit allows users to then transfer resource data for specific locations into NREL's micropower optimization model known as HOMER.

  3. Wind Energy Resource Basics | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group currentBradley NickellApril 16, 2008 TBD-0075 -In theWide Bandgap3Below1

  4. Louisiana/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant Jump to:Landowners andLodgepole,Lotsee, Oklahoma: EnergyInformation

  5. NREL: Wind Research - Data and Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparency VisitSilver Toyota Prius being driven in frontData and

  6. Georgia/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489InformationFrenchtown,JumpValleyTopics

  7. Vermont/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global EnergyUtility Rate HomeVela Jump to:I

  8. Washington/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri GlobalJump to: navigation, search Contents 1 Financial

  9. Hawaii/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergyStrategy |HatchetInformation Hawaii's

  10. Kentucky/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano, Hawaii |Island,Kas Farmssource History View

  11. Ohio/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns JumpsourceOffshoreInformation

  12. Oklahoma/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and Gas Company

  13. Oregon/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil andOpenEITODOOregonOregon/Geothermal

  14. Pennsylvania/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompanyPCNInformation US Recovery Act Smart

  15. Idaho/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtel JumpCounty, Texas:ITCSolidIdaho‎ | Transmission JumpIdaho,

  16. Wind Integration, Transmission, and Resource Assessment and

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

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

  17. WINDExchange: Wind Energy Regional Resource Centers

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin: EnergyWyandanch,EagaAbout PrintableEducation Printable

  18. WINDExchange: Wind Economic Development Resources and Tools

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable Version BookmarkDevelopment

  19. Maryland/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose Bend <Stevens Jump to:source History View New Pages

  20. Michigan/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole Inc Jump to:

  1. Minnesota/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole Inc JumpMicroPlanet

  2. Montana/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinutemanVista Capital LLCMontana/Incentives

  3. Nebraska/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

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  4. Mississippi/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville, Ohio:Menomonee|MililaniMindanaoMinuanoIVInformation

  5. Texas/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f <MaintainedInformation 2 RegisteredInformation

  6. Delaware/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE Facility Database DataDatatechnicNewDeafDeerDelIowa: EnergyDelaware,

  7. California/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:Power LPInformation 8th congressional district:

  8. Colorado/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png El CERCollierInformationInformation Base

  9. Connecticut/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png ElColumbia,2005) |UseCondon

  10. Wind Energy Resource Atlas of Armenia

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tiny motionsWEF Work?

  11. Florida/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdf Jump to:ar-80m.pdfFillmore County,andJumpInformation TurboGenix

  12. Utah/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown of Ladoga,planning methodologies and toolsoperation plans for facility

  13. 80 and 100 Meter Wind Energy Resource Potential for the United States (Poster)

    SciTech Connect (OSTI)

    Elliott, D.; Schwartz, M.; Haymes, S.; Heimiller, D.; Scott, G.; Flowers, L.; Brower, M.; Hale, E.; Phelps, B.

    2010-05-01T23:59:59.000Z

    Accurate information about the wind potential in each state is required for federal and state policy initiatives that will expand the use of wind energy in the United States. The National Renewable Energy Laboratory (NREL) and AWS Truewind have collaborated to produce the first comprehensive new state-level assessment of wind resource potential since 1993. The estimates are based on high-resolution maps of predicted mean annual wind speeds for the contiguous 48 states developed by AWS Truewind. These maps, at spatial resolution of 200 meters and heights of 60 to 100 meters, were created with a mesoscale-microscale modeling technique and adjusted to reduce errors through a bias-correction procedure involving data from more than 1,000 measurement masts. NREL used the capacity factor maps to estimate the wind energy potential capacity in megawatts for each state by capacity factor ranges. The purpose of this presentation is to (1) inform state and federal policy makers, regulators, developers, and other stakeholders on the availability of the new wind potential information that may influence development, (2) inform the audience of how the new information was derived, and (3) educate the audience on how the information should be interpreted in developing state and federal policy initiatives.

  14. Four Corners Wind Resource Center Webinar: Building Utility-Scale Wind: Permitting and Regulation Lessons for County Decision-Makers

    Broader source: Energy.gov [DOE]

    The Four Corners Wind Resource Center will host this webinar exploring lessons learned in the permitting of utility-scale wind projects and the development of ordinances and regulations for...

  15. After the wind resource and project site have been determined and the community outreach effort has

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    permit application. See the Fact Sheets on resource assessment and wind resource data for more: Technology Performance Impacts & Issues Siting Resource Assessment Wind Data Permitting Case Studies 1. 2. 3After the wind resource and project site have been determined and the community outreach effort has

  16. Wind for Schools Portal Educational Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown ofNationwideWTEDBird,Wilsonville, Oregon: EnergyWindCooperativesWind Works-

  17. Wyoming/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Wind Projectsource History View New Pages RecentWyoming/Wind

  18. New Jersey/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to:Neppel WindNew Grid EnergyHarvestNewNew Jersey/Wind

  19. New Wind Technology Resource Center Launched | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently Asked QuestionsDepartment ofDepartment ofNew PSAs HelpDepartmentDepartment ofWindWind

  20. Wind power resource assessment in complex urban environments: MIT campus case-study using CFD Analysis

    E-Print Network [OSTI]

    Wind power resource assessment in complex urban environments: MIT campus case-study using CFD of Technology, 2Meteodyn Objectives Conclusions References [1] TopoWind software, User Manual [2] Wind Resource Assessment Handbook: Fundamentals for Conducting a Successful Wind Monitoring Program, AWS Scientific, Inc

  1. Evaluation of the Impacts of Deep Penetration of Wind Resources on Transmission Utilization and

    E-Print Network [OSTI]

    Gross, George

    Terms--wind generation, grid integration, trans- mission utilization, stability analysis, dynamic perfor- tion of wind generation resources into the power grids requires the evaluation of the impacts of wind quantification of the impacts of wind resource integration on the system. The evaluation of these impacts

  2. The Association of Large-Scale Climate Variability and Teleconnections on Wind Energy Resource

    E-Print Network [OSTI]

    The Association of Large-Scale Climate Variability and Teleconnections on Wind Energy Resource over on Wind Energy Resource over Europe and its Intermittency Pascal Kriesche* and Adam Schlosser* Abstract

  3. A Method for Estimating Undiscovered Geothermal Resources in...

    Open Energy Info (EERE)

    was estimated using digital maps of geothermal wells, temperature gradient holes, oil wells, water wells, and depth to the water table. The resulting resource estimate does...

  4. Assessment of Offshore Wind Energy Resources for the United States

    SciTech Connect (OSTI)

    Schwartz, M.; Heimiller, D.; Haymes, S.; Musial, W.

    2010-06-01T23:59:59.000Z

    This report summarizes the offshore wind resource potential for the contiguous United States and Hawaii as of May 2009. The development of this assessment has evolved over multiple stages as new regional meso-scale assessments became available, new validation data was obtained, and better modeling capabilities were implemented. It is expected that further updates to the current assessment will be made in future reports.

  5. Wind Resource Assessment Using SODAR at Cluttered Sites William LW Henson MSc*

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Wind Resource Assessment Using SODAR at Cluttered Sites William LW Henson MSc* Anthony L Rogers Ph. The RERL's use of SODAR in wind resource assessment is due to the often-stated advantages that SODAR and representative wind resource data. One such challenging environment can be called a cluttered site

  6. Ris-R-1322 (EN) Danish-Czech Wind Resource Know-

    E-Print Network [OSTI]

    Risř-R-1322 (EN) Danish-Czech Wind Resource Know- how Transfer Project Interim Report 2002 Ole The progress of the Danish-Czech Wind Resource Know-how Trans- fer Project is reported. The know-how transfer component of the project has consisted in performing a wind resource training workshop for about 13 indi

  7. Ris-R-1447 (EN) Danish-Czech Wind Resource Know-

    E-Print Network [OSTI]

    Risř-R-1447 (EN) Danish-Czech Wind Resource Know- how Transfer Project Final Report Ole Rathmann of the Danish-Czech Wind Resource Know-how Transfer Project is reported. The know-how transfer component of the project has con- sisted in performing a wind resource training workshop for about 13 individuals from

  8. Alaska/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindeySanta2004)AirwaysourceAlaskaAlaska/Wind Resources/Full

  9. AWEA Wind Resource & Project Energy Assessment | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you0 ARRA Newsletters 20103-03 AUDIT REPORT: OAS-L-03-03 DecemberWind Resource

  10. Utah/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLCEnergy)PeteforsythUtah/Wind Resources/Full Version

  11. Virginia/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global EnergyUtility RateVirginia/Wind Resources < Virginia Jump

  12. Ohio/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns JumpsourceOffshoreInformationOhio/Wind Resources/Full

  13. Oklahoma/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil and Gas CompanyOklahoma/Wind Resources/Full

  14. Massachusetts/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose Bend <Stevens JumpMassachusetts/Wind Resources <

  15. Michigan/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole Inc Jump to:Michigan/Wind Resources/Full Version <

  16. Minnesota/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole Inc JumpMicroPlanetMinnesota/Wind Resources/Full Version

  17. Nebraska/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to: navigation,Nebraska/Wind Resources/Full Version

  18. North Dakota/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall,Missouri: Energy Resources JumpOklahoma:NorthCastle, NewNorth Dakota/Wind

  19. Connecticut/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png ElColumbia,2005) |UseCondonConnecticut/Wind Resources/Full

  20. Estimated global ocean wind power potential from QuikSCAT observations, accounting for turbine characteristics and siting

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2010-01-01T23:59:59.000Z

    ZENDER: GLOBAL OCEAN WIND POWER POTENTIAL Serpetzoglou, E. ,Estimated global ocean wind power potential from QuikSCATEstimated global ocean wind power potential from QuikSCAT

  1. Wind Integration, Transmission, and Resource Assessment andCharacteri...

    Office of Environmental Management (EM)

    Assessment and Characterization Projects More Documents & Publications Environmental Wind Projects Testing, Manufacturing, and Component Development Projects Offshore Wind Projects...

  2. Synchrophasor Measurement-Based Wind Plant Inertia Estimation: Preprint

    SciTech Connect (OSTI)

    Zhang, Y.; Bank, J.; Wan, Y. H.; Muljadi, E.; Corbus, D.

    2013-05-01T23:59:59.000Z

    The total inertia stored in all rotating masses that are connected to power systems, such as synchronous generations and induction motors, is an essential force that keeps the system stable after disturbances. To ensure bulk power system stability, there is a need to estimate the equivalent inertia available from a renewable generation plant. An equivalent inertia constant analogous to that of conventional rotating machines can be used to provide a readily understandable metric. This paper explores a method that utilizes synchrophasor measurements to estimate the equivalent inertia that a wind plant provides to the system.

  3. Session: Wind resources and site characterisation 2 (DW3.5) Track: Technical

    E-Print Network [OSTI]

    including wind shear, turbulence intensities etc., at potential wind turbine positions. - ApplicationSession: Wind resources and site characterisation 2 (DW3.5) Track: Technical THE BOLUND EXPERIMENT - A NEW DATASET OF LOCAL WIND CONDITIONS IN COMPLEX TERRAIN (abstract-ID: 357) Jeppe Johansen (Risø DTU

  4. Georgia/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489InformationFrenchtown,JumpValleyTopicsGeorgia/Wind

  5. Wind Energy Resources for Teachers | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown ofNationwideWTEDBird,Wilsonville, Oregon: EnergyWind Energy

  6. Small Wind Guidebook/Web Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt LtdShawangunk, New York:SiG SolarSkykomish,NewEnergySmall WindSmallsource

  7. West Virginia/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri GlobalJump to: navigation,Goff,Holt WindInformationWest

  8. Wind Resource Atlas of Oaxaca | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Wind Project Jump to:Wilson Hot SpringNevada:Data0-'92Atlas of

  9. Afghanistan Pakistan High Resolution Wind Resource - Datasets - OpenEI

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEE JumpAeroWind Inc. Place:AerospatialeAffton,Datasets

  10. Idaho/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia,IDGWP Wind Farm Jump to:ILabPointIdaho

  11. Oregon/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompany Oil andOpenEITODOOregonOregon/GeothermalOregon/Wind

  12. Assessment of Offshore Wind Energy Resources for the United States

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin: EnergyWyandanch,EagaAbout PrintableEducation PrintableWind2

  13. Potential Wind Resource Chart for the United States

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin: EnergyWyandanch,EagaAbout PrintableEducationOffshore wind

  14. 2014 WIND POWER PROGRAM PEER REVIEW-RESOURCE CHARACTERIZATION

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of BadTHEEnergyReliability and A2e March 24-27, 2014 Wind

  15. Maryland/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose Bend <Stevens Jump to:source History View New PagesMaryland/Wind

  16. Mississippi/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinuteman Wind LLC Jump to:source History

  17. Nevada/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to:Neppel Wind PowerNevada StateNevada, Texas:source

  18. New Hampshire/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to:Neppel WindNew Grid Energy SolutionsNew

  19. New Mexico/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to:Neppel WindNew GridHyTep Jumpsource History View

  20. Wind Career Map: Resource List | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your DensityEnergy U.S.-China Electric VehicleCenters | Department ofofto PurchaseApril 16,WhoWhy3 0WillieWind

  1. California/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:Power LPInformation 8th congressional district:California/Wind

  2. Wind for Schools Portal Developer Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapers Home Kyoung's pictureWind Power Energia

  3. Assessing the wind field over the continental shelf as a resource for electric power

    E-Print Network [OSTI]

    Firestone, Jeremy

    Assessing the wind field over the continental shelf as a resource for electric power by Richard W. Garvine1,2 and Willett Kempton1,3,4 ABSTRACT To assess the wind power resources of a large continental for the comparison period) that the near-coast phase advantage is obviated. We also find more consistent wind power

  4. Characterization of the wind power resource in Europe and its intermittency*

    E-Print Network [OSTI]

    Characterization of the wind power resource in Europe and its intermittency* Alexandra Cosseron Characterization of the wind power resource in Europe and its intermittency Alexandra Cosseron a, *, Udaya Bhaskar-4307, USA Abstract Wind power is assessed over Europe, with a special care given to the quantification

  5. Geothermal resources of the Wind River Basin, Wyoming

    SciTech Connect (OSTI)

    Hinckley, B.S.; Heasler, H.P.

    1985-01-01T23:59:59.000Z

    The geothermal resources of the Wind River Basin were investigated. Oil-well bottom-hole temperatures, thermal logs of wells, and heat flow data have been interpreted within a framework of geologic and hydrologic constraints. Basic thermal data, which includes the background thermal gradient and the highest recorded temperature and corresponding depth for each basin, is tabulated. Background heat flow in the Wind River Basin is generally insufficient to produce high conductive gradients. Only where hydrologic systems re-distribute heat through mass movement of water will high temperatures occur at shallow depths. Aquifers which may have the confinement and structural characteristics necessary to create such geothermal systems are the Lance/Fort Union, Mesa Verde, Frontier, Muddy, Cloverly, Sundance, Nugget, Park City, Tensleep, Amsden, Madison, Bighorn, and Flathead Formations. Of these the Tensleep Sandstone and Madison Limestone are the most attractive in terms of both productivity and water quality. Most of the identified geothermal anomalies in the Wind River Basin occur along complex structures in the southwest and south. The most attractive geothermal prospects identified are anomalous Areas 2 and 3 north of Lander, Sweetwater Station Springs west of Jeffrey City, and the thermal springs southwest of Dubois. Even in these areas, it is unlikely temperatures in excess of 130 to 150/sup 0/F can be developed. 16 refs., 7 figs., 7 tabs. (ACR)

  6. MODAL PARAMETER ESTIMATION FOR OPERATIONAL WIND TURBINES Emilio Di Lorenzo1, 2

    E-Print Network [OSTI]

    Boyer, Edmond

    MODAL PARAMETER ESTIMATION FOR OPERATIONAL WIND TURBINES Emilio Di Lorenzo1, 2 , Simone Manzato1 Claudio 21, 80125 Naples, Italy emilio.dilorenzo@lmsintl.com ABSTRACT Wind turbines are time. This assumption holds in the case of parked wind turbines, but not in the case of operating wind turbines

  7. Estimating Wind Turbine Parameters and Quantifying Their Effects on Dynamic Behavior

    E-Print Network [OSTI]

    Hiskens, Ian A.

    1 Estimating Wind Turbine Parameters and Quantifying Their Effects on Dynamic Behavior Jonathan variable-speed wind turbines in grid stability studies. Often the values for model parameters are poorly parameters on the dynamic behavior of wind turbine generators. A parameter estimation process is then used

  8. 2014 WIND POWER PROGRAM PEER REVIEW-RESOURCE CHARACTERIZATION

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

    and Progress * Simulator fOr Wind Farm Applications (SOWFA) * High performance computing and engineering modules * Wind farm parameterization model in WRF * Outcome...

  9. United States Wind Resource Map: Annual Average Wind Speed at 80 Meters

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80 m 01-APR-2011 2.1.1 Wind

  10. Title: Ontario Wind Power Allocation Ontario Ministry of Natural Resources

    E-Print Network [OSTI]

    Title: Ontario Wind Power Allocation Data Creator / Copyright Owner: Ontario Ministry of Natural/A Updates: N/A Abstract: This data consists of a polygon shapefile, Wind Power Allocation Block. A Wind Power Allocation Block is an area that could be allocated for the exploration of wind power generation

  11. Measurement strategies for estimating long-term average wind speeds

    SciTech Connect (OSTI)

    Ramsdell, J.V.; Houston, S.; Wegley, H.L.

    1980-10-01T23:59:59.000Z

    The uncertainty and bias in estimates of long-term average wind speeds inherent in continuous and intermittent measurement strategies are examined by simulating the application of the strategies to 40 data sets. Continuous strategies have smaller uncertainties for fixed duration measurement programs, but intermittent strategies make more efficient use of instruments and have smaller uncertainties for a fixed amount of instrument use. Continuous strategies tend to give biased estimates of the long-term annual mean speed unless an integral number of years' data is collected or the measurement program exceeds 3 years in duration. Intermittent strategies with three or more month-long measurement periods per year do not show any tendency toward bias.

  12. Ben Ticha M. B., Ranchin T., Wald L., Using several data sources for offshore wind resource assessment, 2005, Copenhagen Offshore Wind conference 2005

    E-Print Network [OSTI]

    Boyer, Edmond

    financial risks associated to the installation of offshore wind farms. Usually, for evaluating the resourceBen Ticha M. B., Ranchin T., Wald L., Using several data sources for offshore wind resource assessment, 2005, Copenhagen Offshore Wind conference 2005 1 Using several data sources for offshore wind

  13. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    this study, wind energy potential for turbines at 80m, 100m,wind energy potential due to better technology in the form of higher efficiency, hub heights, and sizes of wind turbines.wind energy potential is higher than currently believed. Those aspects are 1) the rapidly improving wind turbine

  14. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    3.1 Coincidence of Wind Generation with Seasonal Load Shapes3.2 Coincidence of Wind Generation with Diurnal Load Shapessites for an actual wind generation facility or predict its

  15. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    of variability of wind generation and costs related toLaxson (2006). Wind Turbine Design Cost and Scaling Model.MW installed worldwide. 6 Wind energy costs in India are

  16. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    G. Sinden, A. Zervos, (2011): Wind Energy. In IPCC SpecialM. Hand, and A. Laxson (2006). Wind Turbine Design Cost and2009). Analysis of Impacts of Wind Integration in the Tamil

  17. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    Assessment of Potential for Wind Farms in India, RenewableNetworks for Offshore Wind Farms, Bremen, Germany, 14-15Assessment of Potential for Wind Farms in India, Renewable

  18. High Wind Penetration Impact on U.S. Wind Manufacturing Capacity and Critical Resources

    SciTech Connect (OSTI)

    Laxson, A.; Hand, M. M.; Blair, N.

    2006-10-01T23:59:59.000Z

    This study used two different models to analyze a number of alternative scenarios of annual wind power capacity expansion to better understand the impacts of high levels of wind generated electricity production on wind energy manufacturing and installation rates.

  19. Importance of thermal effects and sea surface roughness for offshore wind resource assessment

    E-Print Network [OSTI]

    Heinemann, Detlev

    sites. The first large offshore wind farms are currently being built in several countries in EuropeImportance of thermal effects and sea surface roughness for offshore wind resource assessment National Laboratory, Roskilde, Denmark Abstract The economic feasibility of offshore wind power utilisation

  20. Impact of increased penetration of wind and PV solar resources on the

    E-Print Network [OSTI]

    to the BES through a power electronic inverter · Residential roof top PV solar also has an inverter whichImpact of increased penetration of wind and PV solar resources on the bulk power system Vijay;Wind and PV solar grid interface · Modern wind turbine generators are typically rated between 1.5 MW

  1. Preliminary assessment of climate change impacts on the UK onshore wind energy resource

    E-Print Network [OSTI]

    Harrison, Gareth

    while summer decreases. Keywords: climate change, United Kingdom, wind energy, wind climate. 1, the potential for changes in climate to affect the significant onshore wind resource in the United Kingdom (UK contributor to future long term renewable energy targets. This is particularly true in the United Kingdom (UK

  2. Calculating the offshore wind power resource: Robust assessment methods applied to the U.S. Atlantic Coast

    E-Print Network [OSTI]

    Firestone, Jeremy

    Calculating the offshore wind power resource: Robust assessment methods applied to the U 2011 Available online xxx Keywords: Wind power Offshore wind power Resource assessment Marine spatial, annual energy output is calculated for a representative offshore wind turbine. The average power resource

  3. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    Unleashing the Potential of Renewable Energy in India.of Potential for Wind Farms in India, Renewable Energy (of Potential for Wind Farms in India, Renewable Energy (

  4. Wind resource and site assessment in the German Bight: Extreme Winds at Meso-to Microscale

    E-Print Network [OSTI]

    Heinemann, Detlev

    in the offshore wind farms. In the following, the validated Weather Research and Forecast (WRF) model simulations resolution which resolves sites of the individual offshore wind farms. In addition, the FINO-1 measurements of offshore wind farms, where in-situ measurements are scarce and expensive, the validated mesoscale wind

  5. Final Map Draft Comparison Report WIND ENERGY RESOURCE MODELING AND MEASUREMENT PROJECT

    E-Print Network [OSTI]

    SOLUTIONS, LLC (now AWS Truewind LLC) 255 FULLER ROAD, SUITE 274 ALBANY, NEW YORK Michael Brower PrincipalII Final Map Draft Comparison Report #12;WIND ENERGY RESOURCE MODELING AND MEASUREMENT PROJECT Tel: 978-749-9591 Fax: 978-749-9713 mbrower@awstruewind.com August 10, 2004 #12;2 WIND ENERGY RESOURCE

  6. The Estimated Global Ocean Wind Power Potential from QuikSCAT Observations, Accounting for Turbine

    E-Print Network [OSTI]

    Zender, Charles

    The Estimated Global Ocean Wind Power Potential from QuikSCAT Observations, Accounting for Turbine: (949) 824-3256 Abstract For the first time, global ocean usable wind power is evaluated for modern offshore turbine characteristics including hub height, usable portion of the wind speed distri- bution

  7. Offshore Wind Turbines Estimated Noise from Offshore Wind Turbine, Monhegan Island, Maine Addendum 2

    SciTech Connect (OSTI)

    Aker, Pamela M.; Jones, Anthony M.; Copping, Andrea E.

    2011-03-01T23:59:59.000Z

    Additional modeling for offshore wind turbines, for proposed floating wind platforms to be deployed by University of Maine/DeepCwind.

  8. Estimating attitude and wind velocity using biomimetic sensors on a microrobotic bee

    E-Print Network [OSTI]

    Fuller, Sawyer Buckminster

    to estimate attitude angle relative to a luminous sky. We demonstrate accurate wind velocity estimation have three light sensors, distinct from the compound eyes, that point roughly upward and sense the sky

  9. Wind energy resource atlas. Volume 8. The southern Rocky Mountain region

    SciTech Connect (OSTI)

    Andersen, S.R.; Freeman, D.L.; Hadley, D.L.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-03-01T23:59:59.000Z

    The Southern Rocky Mountain atlas assimilates five collections of wind resource data: one for the region and one for each of the four states that compose the Southern Rocky Mountain region (Arizona, Colorado, New Mexico, and Utah). At the state level, features of the climate, topography and wind resource are discussed in greater detail than is provided in the regional discussion, and the data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in each state are shown on graphs of monthly average and interannual wind speed and power, and hourly average wind speed for each season. Other graphs present speed, direction, and duration frequencies of the wind at these locations.

  10. Wind energy resource atlas. Volume 12. Puerto Rico and US Virgin Islands

    SciTech Connect (OSTI)

    Wegley, H.L.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-01-01T23:59:59.000Z

    The Puerto Rico/US Virgin Island atlas assimilates three collections of wind resource data: one for the region as a whole and one each for both the Commonwealth of Puerto Rico and the US Virgin Islands. For the two subregions, features of the climate, topography and wind resource are discussed in greater detail than is provided in the regional discussion, and the data locations on which the assessment is based are mapped. Variations, over several time scales, in the wind resource at selected stations in both subregions are shown on graphs of monthly average and interannual wind speed and power, and hourly average wind speed for each season. Other graphs present speed, direction and duration frequencies of the wind at these locations.

  11. AIAA Guidance, Navigation and Control Conference, Toronto, Canada Wind Field Estimation for Small Unmanned Aerial

    E-Print Network [OSTI]

    Langelaan, Jack W.

    is development of a low-cost atmospheric mea- surement and sampling system. The paper presents an error analysis with estimating wind conditions to enable gust soaring. Since the motivation is small, low cost uavs (here smallAIAA Guidance, Navigation and Control Conference, Toronto, Canada Wind Field Estimation for Small

  12. areal wind resource: Topics by E-print Network

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

    and Utilization Websites Summary: Renewable Energy Center California Off-shore Wind Technology Assessment 12;California Renewable EnergyRESEARCH RESULTS FORUM FOR RENEWABLE...

  13. aruba wind resource: Topics by E-print Network

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

    and Utilization Websites Summary: Renewable Energy Center California Off-shore Wind Technology Assessment 12;California Renewable EnergyRESEARCH RESULTS FORUM FOR RENEWABLE...

  14. Arizona/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    Requirements Most utilities and other electricity providers require you to enter into a formal agreement with them before you interconnect your wind turbine with the...

  15. Wind resource characterization results to support the Sandia Wind Farm Feasibility Study : August 2008 through March 2009.

    SciTech Connect (OSTI)

    Deola, Regina Anne

    2010-01-01T23:59:59.000Z

    Sandia National Laboratories Wind Technology Department is investigating the feasibility of using local wind resources to meet the requirements of Executive Order 13423 and DOE Order 430.2B. These Orders, along with the DOE TEAM initiative, identify the use of on-site renewable energy projects to meet specified renewable energy goals over the next 3 to 5 years. A temporary 30-meter meteorological tower was used to perform interim monitoring while the National Environmental Policy Act (NEPA) process for the larger Wind Feasibility Project ensued. This report presents the analysis of the data collected from the 30-meter meteorological tower.

  16. Community Wind Handbook/Understand Your Wind Resource and Conduct a

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovationin UrbanCityCoatedCommunity ElectricPreliminary Estimate | Open

  17. 2924 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 46, NO. 10, OCTOBER 2008 Estimation of Hurricane Winds From

    E-Print Network [OSTI]

    Long, David G.

    of Hurricane Winds From SeaWinds at Ultrahigh Resolution Brent A. Williams, Member, IEEE, and David G. Long that can be exploited by using a wind field model. This paper devel- ops a new procedure for hurricane wind field estimation from the SeaWinds instrument at ultrahigh resolution. A simplified hurricane model

  18. Wind Bias from Sub-optimal Estimation Due to Geophysical Modeling Error Paul E. Johnson and David G . Long

    E-Print Network [OSTI]

    Long, David G.

    Wind Bias from Sub-optimal Estimation Due to Geophysical Modeling Error -Wind I Paul E. Johnson (which relates the wind to the normalized radar cross section, NRCS, of the ocean surface) is uncertainty in the NRCS for given wind conditions. When the estimated variability is in- cluded in the maximum likelihood

  19. BIRD BEHAVIORS IN THE ALTAMONT PASS WIND RESOURCE AREA 8.1 INTRODUCTION

    E-Print Network [OSTI]

    a different view, arguing that intensity of use of the area in a wind farm is unrelated to turbine-caused bird the sampling area. At each plot, two observers performed circular visual scans (360o ), also called variable246 CHAPTER 8 BIRD BEHAVIORS IN THE ALTAMONT PASS WIND RESOURCE AREA 8.1 INTRODUCTION Specific

  20. A PRODUCTION SIMULATION TOOL FOR SYSTEMS WITH INTEGRATED WIND ENERGY RESOURCES

    E-Print Network [OSTI]

    Gross, George

    A PRODUCTION SIMULATION TOOL FOR SYSTEMS WITH INTEGRATED WIND ENERGY RESOURCES BY NICOLAS BENOIT reserves resulting in increased system production costs. Consequently, there is an acute need production simulation tool with the capability to quantify the variable effects of systems with varying wind

  1. Wind Energy Resource Atlas. Volume 11. Hawaii and Pacific Islands Region

    SciTech Connect (OSTI)

    Schroeder, T.A.; Hori, A.M.; Elliott, D.L.; Barchet, W.R.; George, R.L.

    1981-02-01T23:59:59.000Z

    This atlas of the wind energy resource is composed of introductory and background information, and assessments of the wind resource in each division of the region. Background on how the wind resource is assessed and on how the results of the assessment should be inerpreted is presented. An introduction and outline to the descriptions of the wind resource for each division are provided. Assessments for individual divisions are presented as separate chapters. Much of the information in the division chapters is given in graphic or tabular form. The sequences for each chapter are similar, but some presentations used for Hawaii are inappropriate or impractical for presentation with the Pacific Islands. Hawaii chapter figure and tables are cited below and appropriate Pacific Islands figure and table numbers are included in brackets ().

  2. Characterization of Wind Power Resource in the United States and its Intermittency

    E-Print Network [OSTI]

    Gunturu, U.B.

    Wind resource in the continental and offshore United States has been reconstructed and characterized using metrics that describe, apart from abundance, its availability, persistence and intermittency. The Modern Era ...

  3. Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic...

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

    DOE U.S. Department of Energy GVAX Ganges Valley Aerosol Experiment HPC High performance computing MAE Mean absolute error MDE Median absolute error MF Mobile facility NREL...

  4. New National Wind Potential Estimates for Modern and Near-Future Turbine Technologies (Poster)

    SciTech Connect (OSTI)

    Roberts, J. O.

    2014-01-01T23:59:59.000Z

    Recent advancements in utility-scale wind turbine technology and pricing have vastly increased the potential land area where turbines can be deployed in the United States. This presentation quantifies the new developable land potential (e.g., capacity curves), visually identifies new areas for possible development (e.g., new wind resource maps), and begins to address deployment barriers to wind in new areas for modern and future turbine technology.

  5. ASCE Specialty Conference on Probabilistic Mechanics and Structural Reliability ESTIMATING STRUCTURAL RELIABILITY UNDER HURRICANE WIND HAZARD

    E-Print Network [OSTI]

    Balaji, Rajagopalan

    STRUCTURAL RELIABILITY UNDER HURRICANE WIND HAZARD: APPLICATIONS TO WOOD STRUCTURES Balaji Rajagopalan.frangopol@colorado.edu Abstract A stochastic nonparametric framework to estimate structural reliability under hurricane wind Natural hazards in general and hurricanes in particular, lead to loss of life and tremendous property

  6. Comparing Estimates of Wind Turbine Fatigue Loads using Time-Domain and Spectral Methods

    E-Print Network [OSTI]

    Manuel, Lance

    for edgewise blade loads. NOMENCLATURE f = frequency in Hertz m = material exponent for fatigue mn = nthComparing Estimates of Wind Turbine Fatigue Loads using Time-Domain and Spectral Methods by Patrick Ragan and Lance Manuel REPRINTED FROM WIND ENGINEERING VOLUME 31, NO. 2, 2007 MULTI-SCIENCE PUBLISHING

  7. SODAR Wind Resource Measurement Results at Falmouth, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    treatment plant in the spring of 2005 by the Renewable Energy Research Laboratory at the University wind speed at 70 m is most likely between 5.88 and 6.36 m/s. Introduction The Renewable Energy Research the possibility of problems with echoes from ground clutter was identified. In this case ground clutter means low

  8. Onshore wind energy in the UK, the unexploited resource 

    E-Print Network [OSTI]

    Stokes, Peter

    2014-08-06T23:59:59.000Z

    major switch of large scale energy generation is required to reduce these emissions; from the burning of fossil fuels to generation by renewable sources. Onshore wind energy is one of the most viable of the UK’s renewable energy sources, but its uptake...

  9. U.S. Virgin Islands Wind Resources Update 2014

    SciTech Connect (OSTI)

    Roberts, J. O.; Warren, A.

    2014-12-01T23:59:59.000Z

    This report summarizes the data collected from two 60-meter meteorological towers and three sonic detection and ranging units on St. Thomas and St. Croix in 2012 and 2013. These results are an update to the previous feasibility study; the collected data are critical to the successful development of a wind project at either site.

  10. Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity at Different Sites in California and the Northwest

    E-Print Network [OSTI]

    Fripp, Matthias; Wiser, Ryan

    2006-01-01T23:59:59.000Z

    et al. (1998). Wind Generation in the Future Competitivegeneration system, as well as computational resources that would make it prohibitive for estimating the capacity value of wind

  11. Satellite data for high resolution offshore wind resource mapping: A data fusion approach M.B. Ben Ticha a,*

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Satellite data for high resolution offshore wind resource mapping: A data fusion approach M.B. Ben accurate high spatial and temporal resolutions wind measurements. Offshore, satellite data are an accurate radar, scatterometer, data fusion, offshore wind energy resource assessment. 1. INTRODUCTION Since

  12. Reassessing Wind Potential Estimates for India: Economic and Policy Implications

    E-Print Network [OSTI]

    Phadke, Amol

    2012-01-01T23:59:59.000Z

    times the current installed capacity) will be about 40,000largest portion of RE installed capacity in the world, withleads all states in installed wind capacity – would yield a

  13. Forest impact estimated with NOAA AVHRR and Landsat TM data related to an empirical hurricane wind-field distribution

    E-Print Network [OSTI]

    Hodgson, Michael E.

    with Hurricane Andrew in 1992. The wind-field model projected that the highest wind speeds were in the southernForest impact estimated with NOAA AVHRR and Landsat TM data related to an empirical hurricane wind to relate forest type and hurricane-impact distribution with wind speed and duration to explain

  14. The Association of Large-Scale Climate Variability and Teleconnections on Wind Energy Resource over Europe and its Intermittency

    E-Print Network [OSTI]

    Kriesche, Pascal

    In times of increasing importance of wind power in the world’s energy mix, this study focuses on a better understanding of the influences of large-scale climate variability on wind power resource over Europe. The impact ...

  15. DEWEK Wind Energy Conference 2012 Category: 4. Simulation models BACKWARD EXTRAPOLATION OF SHORT-TIME MEASUREMENT DATA FOR A REMAINING SERVICE LIFE ESTIMATION OF WIND

    E-Print Network [OSTI]

    Berlin,Technische Universität

    DEWEK Wind Energy Conference 2012 Category: 4. Simulation models 1 BACKWARD EXTRAPOLATION OF SHORT-TIME MEASUREMENT DATA FOR A REMAINING SERVICE LIFE ESTIMATION OF WIND TURBINES Dipl.-Ing. René Kamieth, Prof. Dr, Germany, Tel.: +49-(0)30-314-23603, Fax: +49-(0)30-314-26131 Summary Wind turbines built in the last

  16. Estimated global ocean wind power potential from QuikSCAT observations, accounting for turbine characteristics and siting

    E-Print Network [OSTI]

    Zender, Charles

    Click Here for Full Article Estimated global ocean wind power potential from QuikSCAT observations. Zender (2010), Estimated global ocean wind power potential from QuikSCAT observations, accounting, global ocean usable wind power is evaluated for modern offshore turbine characteristics including hub

  17. Wind Integration, Transmission, and Resource Assessment andCharacteri...

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

    totaling more than 25 million for 41 projects focused on integration, transmission, and resource assessment and characterization. This report highlights each of these R&D...

  18. Offshore Wind Turbines - Estimated Noise from Offshore Wind Turbine, Monhegan Island, Maine: Environmental Effects of Offshore Wind Energy Development

    SciTech Connect (OSTI)

    Aker, Pamela M.; Jones, Anthony M.; Copping, Andrea E.

    2010-11-23T23:59:59.000Z

    Deep C Wind, a consortium headed by the University of Maine will test the first U.S. offshore wind platforms in 2012. In advance of final siting and permitting of the test turbines off Monhegan Island, residents of the island off Maine require reassurance that the noise levels from the test turbines will not disturb them. Pacific Northwest National Laboratory, at the request of the University of Maine, and with the support of the U.S. Department of Energy Wind Program, modeled the acoustic output of the planned test turbines.

  19. Bird Mortaility at the Altamont Pass Wind Resource Area: March 1998--September 2001

    SciTech Connect (OSTI)

    Smallwood, K. S.; Thelander, C. G.

    2005-09-01T23:59:59.000Z

    Over the past 15 years, research has shown that wind turbines in the Altamont Pass Wind Resource Area (APWRA) kill many birds, including raptors, which are protected by the Migratory Bird Treaty Act (MBTA), the Bald and Golden Eagle Protection Act, and/or state and federal Endangered Species Acts. Early research in the APWRA on avian mortality mainly attempted to identify the extent of the problem. In 1998, however, the National Renewable Energy Laboratory (NREL) initiated research to address the causal relationships between wind turbines and bird mortality. NREL funded a project by BioResource Consultants to perform this research directed at identifying and addressing the causes of mortality of various bird species from wind turbines in the APWRA.With 580 megawatts (MW) of installed wind turbine generating capacity in the APWRA, wind turbines there provide up to 1 billion kilowatt-hours (kWh) of emissions-free electricity annually. By identifying and implementing new methods and technologies to reduce or resolve bird mortality in the APWRA, power producers may be able to increase wind turbine electricity production at the site and apply similar mortality-reduction methods at other sites around the state and country.

  20. Quantifying emissions reductions from New England offshore wind energy resources

    E-Print Network [OSTI]

    Berlinski, Michael Peter

    2006-01-01T23:59:59.000Z

    Access to straightforward yet robust tools to quantify the impact of renewable energy resources on air emissions from fossil fuel power plants is important to governments aiming to improve air quality and reduce greenhouse ...

  1. Solar and Wind Energy Resource Assessment Programme's Renewable Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |RippeyInformationSodaAtlassourceResource Explorer |

  2. Arkansas/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: Energy ResourcesInformation Arizona's 6thsourcesource

  3. Wind Energy Resource Atlas of Armenia (CD-ROM)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tiny motionsWEF Work?Resource

  4. Assessment of the Southern New England Offshore Wind Energy Resource James F. Manwell, Anthony Rogers, Jon G. McGowan

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    1 Assessment of the Southern New England Offshore Wind Energy Resource James F. Manwell, Anthony the potential for the near term development of offshore wind energy projects in that region. The work summarized here consists of four aspects: 1) a review of existing offshore wind data, 2) the measurement of new

  5. Control Strategies for Distributed Energy Resources to Maximize the Use of Wind Power in Rural Microgrids

    SciTech Connect (OSTI)

    Lu, Shuai; Elizondo, Marcelo A.; Samaan, Nader A.; Kalsi, Karanjit; Mayhorn, Ebony T.; Diao, Ruisheng; Jin, Chunlian; Zhang, Yu

    2011-10-10T23:59:59.000Z

    The focus of this paper is to design control strategies for distributed energy resources (DERs) to maximize the use of wind power in a rural microgrid. In such a system, it may be economical to harness wind power to reduce the consumption of fossil fuels for electricity production. In this work, we develop control strategies for DERs, including diesel generators, energy storage and demand response, to achieve high penetration of wind energy in a rural microgrid. Combinations of centralized (direct control) and decentralized (autonomous response) control strategies are investigated. Detailed dynamic models for a rural microgrid are built to conduct simulations. The system response to large disturbances and frequency regulation are tested. It is shown that optimal control coordination of DERs can be achieved to maintain system frequency while maximizing wind power usage and reducing the wear and tear on fossil fueled generators.

  6. Energy Department Announces Funding to Access Higher Quality Wind Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 Russian NuclearandJunetrackEllen O'Kane Tauscher -TheEconomy,Research Centers

  7. Florida/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489Information Hydro Inc Iosil Energy

  8. Alabama/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty Edit withTianlinPapersWindeySanta2004)Airwaysource History View New Pages

  9. Category:State Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here. Category:ConceptualGeothermalInformationSolar

  10. Solar and Wind Energy Resource Assessment (SWERA) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt LtdShawangunk, NewSingapore Jump to:Voltaic Malaysia Sdn Bhd JumpSolar

  11. Vermont/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global EnergyUtility Rate HomeVela Jump to:Isource History View New

  12. Hawaii/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergyStrategy |HatchetInformation

  13. Kansas/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano, Hawaii |Island, Florida:KaneEthanolsource

  14. Kentucky/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOf Kilauea Volcano, Hawaii |Island,Kas Farmssource History

  15. Pennsylvania/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcernsCompanyPCNInformation US Recovery Act

  16. Wind Resource Assessment and Characterization | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015ofDepartment of EnergyThe U.S. DepartmentEnergyWilliam0, 2015A crucial

  17. United States Offshore Wind Resource Map at 90 Meters

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin: EnergyWyandanch,EagaAbout PrintableEducationOffshore

  18. WINDExchange: Resources and Tools for Siting Wind Turbines

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80 m 01-APR-2011Map

  19. Maine/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose Bend < MHKconvertersource History View New Pages

  20. Rhode Island/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ | RoadmapRenewableGeothermalsource History View New

  1. SWERA/Wind Resource Information | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |Rippey Jump to:WY) JumpLandSRT Jump to:STIL2FROMTMY <

  2. Solar and Wind Energy Resource Assessment (SWERA) | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ |RippeyInformationSodaAtlassource

  3. NREL-Wind Resource Assessment Handbook | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasoleTremor(Question) |Renewable Energy |I

  4. New York/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to:Neppelsource History View New Pages RecentNew

  5. North Carolina/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jumpsource History View New Pages Recent Changes All

  6. NREL-International Wind Resource Maps | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLu anMicrogreenMoonNASA/Ames GlobalView

  7. South Dakota/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt LtdShawangunk, NewSingaporeSonix Japan IncInformation

  8. U.S. Virgin Islands Wind Resources Update 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic|IndustrialCenterMarchC.DepartmentTexasof Energy 1EnergyU.S.

  9. NREL: International Activities - Philippines Wind Resource Maps and Data

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid Integration NREL isDataWorking with Us Photo ofA map depicting

  10. South Carolina/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎SolarCity Corp Jumpsource History View New Pages

  11. Tennessee/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f <Maintained ByManagement IncDrillbe nice ifTennessee/Incentives

  12. Mexico-NREL Wind Resource Assessments | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLu an GroupInformationMexico CentralEnergyMexico) JumpNREL

  13. Assessment of Offshore Wind Energy Resources for the United States

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platform is alwaysISOSource Heat 1PowerofSystems |AsApril 1,and

  14. Colorado/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png El CERCollierInformationInformation Basesource

  15. Wind Energy Resource Atlas of the Dominican Republic

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tiny motionsWEF

  16. Energy Department Announces Funding to Access Higher Quality Wind Resources

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,OfficeEnd of Year 2010 SNF & HLWAdvancedand Lower Costs | Department of

  17. Four Corners Wind Resource Center Webinar: Recent Developments in Western

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

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  18. New Wind Technology Resource Center Launched | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOilNEW HAMPSHIREof EnergyBulbs |ReactorsEnergy WaysWhen

  19. Delaware/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision hasda62829c05b NoCounty,

  20. Validation of Updated State Wind Resource Maps for the United States: Preprint

    SciTech Connect (OSTI)

    Schwartz, M.; Elliott, D.

    2004-07-01T23:59:59.000Z

    The National Renewable Energy Laboratory (NREL) has coordinated the validation of updated state wind resource maps for multiple regions of the United States. The purpose of the validation effort is to produce the best map possible within fairly stringent time constraints.

  1. The role of energy storage in accessing remote wind resources in the Midwest

    E-Print Network [OSTI]

    Jaramillo, Paulina

    with renewable energy could pro- vide part of the solution since most renewable technologies do not produce an increase in renewable capacity with incentives such as the federal production tax credit for wind power to 40% of generation coming from qualifying renewable resources (Database of State Incentives

  2. Revisiting the 'Buy versus Build' Decision for Publicly Owned Utilities in California Considering Wind and Geothermal Resources

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2001-12-11T23:59:59.000Z

    The last two decades have seen a dramatic increase in the market share of independent, nonutility generators (NUGs) relative to traditional, utility-owned generation assets. Accordingly, the ''buy versus build'' decision facing utilities--i.e., whether a utility should sign a power purchase agreement (PPA) with a NUG, or develop and own the generation capacity itself--has gained prominence in the industry. Very little of this debate, however, has focused specifically on publicly owned electric utilities, and with few exceptions, renewable sources of supply have received similarly scant attention. Contrary to historical treatment, however, the buy versus build debate is quite relevant to publicly owned utilities and renewables because publicly owned utilities are able to take advantage of some renewable energy incentives only in a ''buy'' situation, while others accrue only in a ''build'' situation. In particular, possible economic advantages of public utility ownership include: (1) the tax-free status of publicly owned utilities and the availability of low-cost debt, and (2) the renewable energy production incentive (REPI) available only to publicly owned utilities. Possible economic advantages to entering into a PPA with a NUG include: (1) the availability of federal tax credits and accelerated depreciation schedules for certain forms of NUG-owned renewable energy, and (2) the California state production incentives available to NUGs but not utilities. This article looks at a publicly owned utility's decision to buy or build new renewable energy capacity--specifically wind and geothermal power--in California. To examine the economic aspects of this decision, we used a 20-year financial cash-flow model to assess the levelized cost of electricity under four supply options: (1) public utility ownership of new geothermal capacity, (2) public utility ownership of new wind capacity, (3) a PPA for new geothermal capacity, and (4) a PPA for new wind capacity. We focus on wind and geothermal because both resources are abundant and, in some cases, potentially economic in California. Our analysis is not intended to provide precise estimates of the levelized cost of electricity from wind projects and geothermal plants; nor is our intent to compare the levelized costs of wind and geothermal power to one another. Instead, our intent is simply to compare the costs of buying wind or geothermal power to the costs of building and operating wind or geothermal capacity under various scenarios. Of course, the ultimate decision to buy or build cannot and should not rest solely on a comparison of the levelized cost of electricity. Thus, in addition to quantitative analysis, we also include a qualitative discussion of several important features of the ''buy versus build'' decision not reflected in the economic analysis.

  3. The Use of Tall Tower Field Data for Estimating Wind Turbine Power Performance , J. Chapman1

    E-Print Network [OSTI]

    Manuel, Lance

    The Use of Tall Tower Field Data for Estimating Wind Turbine Power Performance A. Swift1 , J data acquisition tower is continuously measuring and recording atmospheric conditions at multiple providing barometric pressure and temperature data. A second data acquisition tower approximately 100m

  4. United States Wind Resource Map: Annual Average Wind Speed at 30 Meters

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable

  5. Development of Regional Wind Resource and Wind Plant Output Datasets: Final Subcontract Report, 15 October 2007 - 15 March 2009

    SciTech Connect (OSTI)

    3TIER, Seattle, Washington

    2010-03-01T23:59:59.000Z

    This report describes the development of the necessary and needed wind and solar datasets used in the Western Wind and Solar Integration Study (WWSIS).

  6. Greater Sage-Grouse Habitat Use and Population Demographics at the Simpson Ridge Wind Resource Area, Carbon County, Wyoming

    SciTech Connect (OSTI)

    Gregory D. Johnson; Chad W. LeBeau; Ryan Nielsen; Troy Rintz; Jamey Eddy; Matt Holloran

    2012-03-27T23:59:59.000Z

    This study was conducted to obtain baseline data on use of the proposed Simpson Ridge Wind Resource Area (SRWRA) in Carbon County, Wyoming by greater sage-grouse. The first two study years were designed to determine pre-construction seasonally selected habitats and population-level vital rates (productivity and survival). The presence of an existing wind energy facility in the project area, the PacifiCorp Seven Mile Hill (SMH) project, allowed us to obtain some information on initial sage-grouse response to wind turbines the first two years following construction. To our knowledge these are the first quantitative data on sage-grouse response to an existing wind energy development. This report presents results of the first two study years (April 1, 2009 through March 30, 2011). This study was selected for continued funding by the National Wind Coordinating Collaborative Sage-Grouse Collaborative (NWCC-SGC) and has been ongoing since March 30, 2011. Future reports summarizing results of this research will be distributed through the NWCC-SGC. To investigate population trends through time, we determined the distribution and numbers of males using leks throughout the study area, which included a 4-mile radius buffer around the SRWRA. Over the 2-year study, 116 female greater sage-grouse were captured by spotlighting and use of hoop nets on roosts surrounding leks during the breeding period. Radio marked birds were located anywhere from twice a week to once a month, depending on season. All radio-locations were classified to season. We developed predictor variables used to predict success of fitness parameters and relative probability of habitat selection within the SRWRA and SMH study areas. Anthropogenic features included paved highways, overhead transmission lines, wind turbines and turbine access roads. Environmental variables included vegetation and topography features. Home ranges were estimated using a kernel density estimator. We developed resource selection functions (RSF) to estimate probability of selection within the SRWRA and SMH. Fourteen active greater sage-grouse leks were documented during lek surveys Mean lek size decreased from 37 in 2008 to 22 in 2010. Four leks located 0.61, 1.3, 1.4 and 2.5 km from the nearest wind turbine remained active throughout the study, but the total number of males counted on these four leks decreased from 162 the first year prior to construction (2008), to 97 in 2010. Similar lek declines were noted in regional leks not associated with wind energy development throughout Carbon County. We obtained 2,659 sage-grouse locations from radio-equipped females, which were used to map use of each project area by season. The sage-grouse populations within both study areas are relatively non-migratory, as radio-marked sage-grouse used similar areas during all annual life cycles. Potential impacts to sage-grouse from wind energy infrastructure are not well understood. The data rom this study provide insight into the early interactions of wind energy infrastructure and sage-grouse. Nest success and brood-rearing success were not statistically different between areas with and without wind energy development in the short-term. Nest success also was not influenced by anthropogenic features such as turbines in the short-term. Additionally, female survival was similar among both study areas, suggesting wind energy infrastructure was not impacting female survival in the short-term; however, further analysis is needed to identify habitats with different levels of risk to better understand the impact of wind enregy development on survival. Nest and brood-rearing habitat selection were not influenced by turbines in the short-term; however, summer habitat selection occurred within habitats closer to wind turbines. Major roads were avoided in both study areas and during most of the seasons. The impact of transmission lines varied among study areas, suggesting other landscape features may be influencing selection. The data provided in this report are preliminary and are not meant to provide a basis for fo

  7. Importance of thermal effects and sea surface roughness for wind resource and wind shear at offshore sites

    E-Print Network [OSTI]

    Heinemann, Detlev

    at offshore sites Bernhard Lange*, Sřren Larsen# , Jřrgen Hřjstrup# , Rebecca Barthelmie# *ForWind - Centre of offshore wind power utilisation depends on the favourable wind conditions offshore as compared to sites for this flow. It's applicability for wind power prediction at offshore sites is investigated using data from

  8. Mapping of offshore wind resources C. B. Hasager, P. Astrup, M. B. Christiansen, M. Nielsen, A. Pea

    E-Print Network [OSTI]

    Oct Nov Dec 1995 - 2005 5 6 7 8 9 10 11Windspeed[m/s] Baltic Sea North Sea Monthly profile of averageMapping of offshore wind resources C. B. Hasager, P. Astrup, M. B. Christiansen, M. Nielsen, A The European Wind Atlas, Risř Weibull fitting: A = scale parameter k = shape parameter #12;Horns Rev, Elsam A

  9. S. C. Pryor R. J. Barthelmie E. Kjellstro m Potential climate change impact on wind energy resources in northern

    E-Print Network [OSTI]

    Pryor, Sara C.

    S. C. Pryor � R. J. Barthelmie � E. Kjellstro¨ m Potential climate change impact on wind energy these changes have potentially profound implications for the wind energy resource in a region that has both: 25 August 2005 � Springer-Verlag 2005 Abstract There is considerable interest in the potential impact

  10. Damage estimates from long-term structural analysis of a wind turbine in a US wind farm environment

    SciTech Connect (OSTI)

    Kelley, N.D. [National Renewable Energy Lab., Golden, CO (United States); Sutherland, H.J. [Sandia National Lab., Albuquerque, NM (United States)

    1996-10-01T23:59:59.000Z

    Time-domain simulations of the loads on wind energy conversion systems have been hampered in the past by the relatively long computational times for nonlinear structural analysis codes. However, recent advances in both the level of sophistication and computational efficiency of available computer hardware and the codes themselves now permit long-term simulations to be conducted in reasonable times. Thus, these codes provide a unique capability to evaluate the spectral content of the fatigue loads on a turbine. To demonstrate these capabilities, a Micon 65/13 turbine is analyzed using the YawDyn and the ADAMS dynamic analysis codes. The SNLWIND-3D simulator and measured boundary conditions are used to simulate the inflow environment that can be expected during a single, 24-hour period by a turbine residing in Row 41 of a wind farm located in San Gorgonio Pass, California. Also, long-term simulations (up to 8 hours of simulated time) with constant average inflow velocities are used to better define the characteristics of the fatigue load on the turbine. Damage calculations, using the LIFE2 fatigue analysis code and the MSU/DOE fatigue data base for composite materials, are then used to determine minimum simulation times for consistent estimates of service lifetimes.

  11. Offshore wind resource assessment in European Seas, state-of-the art. A survey within the FP6 "POW'WOW" Coordination Action Project.

    E-Print Network [OSTI]

    , Germany (5) FORWIND, University of Oldenburg, Germany ABSTRACT To plan an offshore wind farm, a careful 1999, large wind farms with wind turbines up to 5 MW have been erected offshore especially in the NorthOffshore wind resource assessment in European Seas, state-of- the ­art. A survey within the FP6

  12. A CRITICAL REVIEW OF WIND TRANSMISSION COST ESTIMATES FROM MAJOR TRANSMISSION PLANNING EFFORTS

    E-Print Network [OSTI]

    Mills, Andrew; Wiser, Ryan; Porter, Kevin

    2007-01-01T23:59:59.000Z

    in calculating the unit cost of wind energy transmissionimpacts of the cost of transmission for wind energy. Only inj = Transmission cost per unit of wind energy weighted by

  13. Wind Resources by Class and Country At 50m - Datasets - OpenEI Datasets

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown ofNationwideWTEDBird,Wilsonville, Oregon: EnergyWindCooperatives Jumpto

  14. Colorado Wind Resource Map with 17 school locations for a potential pilot project

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80 mPilot ProjectWind An

  15. Puerto Rico and U.S. Virgin Islands Wind Resource Map at 50 meters

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80 mPilot ProjectWindJEDIJob% %

  16. Category:Wind for Schools Portal Other Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovation inOpenadd: China Datang Corporation Trina Solar JAsourcePagesWind

  17. New Hampshire/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to:Neppel WindNew Grid Energy

  18. New Jersey/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to:Neppel WindNew Grid EnergyHarvestNewNew

  19. New Mexico/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to:Neppel WindNew GridHyTep Jumpsource History

  20. South Dakota/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎SolarCity Corp Jumpsource History View NewChestnutDakota/Wind

  1. Estimating Administrative and Procedural Costs Natural Resource Restoration Settlements

    E-Print Network [OSTI]

    assessment costs incurred by natural resource trustee agencies (i.e., the federal, state, Indian tribe, and, trustee costs #12;The goal of natural resource damage assessment actions undertaken subsequent to the trustees, or some combination thereof. The damage assessment costs incurred by the natural resource

  2. Estimation of OTEC Global Resources with an Ocean General Circulation Model

    E-Print Network [OSTI]

    Frandsen, Jannette B.

    Ocean Thermal Energy Conversion (OTEC) relies on the availability of temperature differencesEstimation of OTEC Global Resources with an Ocean General Circulation Model Krishnakumar Rajagopalan Postdoctoral Fellow Department of Ocean and Resources Engineering University of Hawai'i Abstract

  3. Estimating the Value of Electricity Storage Resources in Electricity...

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

    for understanding the role electricity storage resources (storage) can play in wholesale and retail electricity markets, 2) assessing the value of electricity storage in a...

  4. A CRITICAL REVIEW OF WIND TRANSMISSION COST ESTIMATES FROM MAJOR TRANSMISSION PLANNING EFFORTS

    E-Print Network [OSTI]

    Mills, Andrew; Wiser, Ryan; Porter, Kevin

    2007-01-01T23:59:59.000Z

    the full capacity of the wind power plant at all times. Theto wind projects than to conventional power plants. Thecoal plants) can be leveraged to efficiently move wind power

  5. A CRITICAL REVIEW OF WIND TRANSMISSION COST ESTIMATES FROM MAJOR TRANSMISSION PLANNING EFFORTS

    E-Print Network [OSTI]

    Mills, Andrew; Wiser, Ryan; Porter, Kevin

    2007-01-01T23:59:59.000Z

    Contingency Analysis Cost Model Flow Analysis Non-Wind Windthe cost of transmission for wind through a meta-analysis ofanalysis in Section 4. Although the results focus on the unit cost of wind

  6. A CRITICAL REVIEW OF WIND TRANSMISSION COST ESTIMATES FROM MAJOR TRANSMISSION PLANNING EFFORTS

    E-Print Network [OSTI]

    Mills, Andrew; Wiser, Ryan; Porter, Kevin

    2007-01-01T23:59:59.000Z

    179c/179c9e0086c0.pdf National Wind CoordinatingTransmission Planning and Wind Energy. Issue Brief. August.and Renewable Energy, Wind & Hydropower Technologies Program

  7. A CRITICAL REVIEW OF WIND TRANSMISSION COST ESTIMATES FROM MAJOR TRANSMISSION PLANNING EFFORTS

    E-Print Network [OSTI]

    Mills, Andrew; Wiser, Ryan; Porter, Kevin

    2007-01-01T23:59:59.000Z

    factor of individual wind farms leads to concerns thatplants. The location of wind farms is dependent on the winda lower-performing wind farm than to build new transmission

  8. Sandia Energy - Sandia Wind Turbine Loads Database

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

    Sandia Wind Turbine Loads Database Home Stationary Power Energy Conversion Efficiency Wind Energy Resources Wind Software Downloads Sandia Wind Turbine Loads Database Sandia Wind...

  9. CARVE: A Cognitive Agent for Resource Value Estimation Jonathan Wildstrom

    E-Print Network [OSTI]

    Witchel, Emmett

    , Peter Stone, Emmett Witchel Department of Computer Sciences The University of Texas at Austin {jwildstr,pstone,witchel}@cs.utexas.edu Abstract Recently, industry has begun investigating and moving towards utility computing, where computational resources (processing, memory and I/O) are availably on demand at a market cost. On-demand access

  10. Wind Technologies & Evolving Opportunities (Presentation)

    SciTech Connect (OSTI)

    Robichaud, R.

    2014-07-01T23:59:59.000Z

    This presentation covers opportunities for wind technology; wind energy market trends; an overview of the National Wind Technology Center near Boulder, Colorado; wind energy price and cost trends; wind turbine technology improvements; and wind resource characterization improvements.

  11. Estimating the Value of Electricity Storage Resources in Electricity

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic Plan Departmentof1-SCORECARD-09-21-11 Page 1Department of Energy

  12. A Review of Geothermal Resource Estimation Methodology | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergy InformationOf

  13. Estimating the Value of Electricity Storage Resources in Electricity

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:RevisedAdvisoryStandardGeneration |10 DOEGoals DuringMarkets - EAC 2011 |

  14. Webinar on Improving Methods for Estimating Fatality of Birds and Bats at Wind Energy Facilities 10Noon Pacific Wednesday, September 26, 2012

    E-Print Network [OSTI]

    Webinar on Improving Methods for Estimating Fatality of Birds and Bats at Wind Energy Facilities 10 results from a California Wind Energy Association (CalWEA)sponsored, California Energy Commissionfunded associated with wind energy facilities, including an improved equation developed to adjust mortality

  15. Wind Integration Datasets from the National Renewable Energy Laboratory (NREL)

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

    The Wind Integration Datasets provide time-series wind data for 2004, 2005, and 2006. They are intended to be used by energy professionals such as transmission planners, utility planners, project developers, and university researchers, helping them to perform comparisons of sites and estimate power production from hypothetical wind plants. NREL cautions that the information from modeled data may not match wind resource information shown on NREL;s state wind maps as they were created for different purposes and using different methodologies.

  16. A new method to estimate annual solar wind parameters and contributions of different solar wind structures to geomagnetic activity

    E-Print Network [OSTI]

    Holappa, Lauri; Asikainen, Timo

    2015-01-01T23:59:59.000Z

    In this paper, we study two sets of local geomagnetic indices from 26 stations using the principal component (PC) and the independent component (IC) analysis methods. We demonstrate that the annually averaged indices can be accurately represented as linear combinations of two first components with weights systematically depending on latitude. We show that the annual contributions of coronal mass ejections (CMEs) and high speed streams (HSSs) to geomagnetic activity are highly correlated with the first and second IC. The first and second ICs are also found to be very highly correlated with the strength of the interplanetary magnetic field (IMF) and the solar wind speed, respectively, because solar wind speed is the most important parameter driving geomagnetic activity during HSSs while IMF strength dominates during CMEs. These results help in better understanding the long-term driving of geomagnetic activity and in gaining information about the long-term evolution of solar wind parameters and the different sol...

  17. Estimates of wind energy input to the Ekman layer in the Southern Ocean from surface drifter data

    E-Print Network [OSTI]

    Gille, Sarah T.

    Estimates of wind energy input to the Ekman layer in the Southern Ocean from surface drifter data March 2009; published 5 June 2009. [1] The energy input to the upper ocean Ekman layer is assessed velocities, with an adjustment to account for the vertical structure of the upper ocean. The energy input

  18. Stochastic Downscaling Method: Application to Wind Refinement

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    for applications such as pollutant diffusion evaluation, wind energy resource estimation and construction issues particular importance on society (e.g., the insurance industry, coastal erosion, forest and infrastruc- ture

  19. Control of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving Horizon Estimation

    E-Print Network [OSTI]

    Control of Airborne Wind Energy Systems Based on Nonlinear Model Predictive Control & Moving arising in the Airborne Wind Energy paradigm, an essential one is the control of the tethered airfoil], [3], the Airborne Wind Energy (AWE) paradigm shift proposes to get rid of the structural elements

  20. SciTech Connect: U.S. Virgin Islands Wind Resources Update 2014

    Office of Scientific and Technical Information (OSTI)

    Integrated Deployment Country of Publication: United States Language: English Subject: 17 WIND ENERGY; 29 ENERGY PLANNING, POLICY AND ECONOMY; 24 POWER TRANSMISSION AND...

  1. Estimated global ocean wind power potential from QuikSCAT observations, accounting for turbine characteristics and siting

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2010-01-01T23:59:59.000Z

    Wind Energy Association (2009), American Wind Energy Asso-ciation annual wind industry report: Year ending 2008,2005), Evaluation of global wind power, J. Geophys. Res. ,

  2. Geothermal -- The Energy Under Our Feet: Geothermal Resource Estimates for the United States

    SciTech Connect (OSTI)

    Green, B. D.; Nix, R. G.

    2006-11-01T23:59:59.000Z

    On May 16, 2006, the National Renewable Energy Laboratory (NREL) in Golden, Colorado hosted a geothermal resources workshop with experts from the geothermal community. The purpose of the workshop was to re-examine domestic geothermal resource estimates. The participating experts were organized into five working groups based on their primary area of expertise in the following types of geothermal resource or application: (1) Hydrothermal, (2) Deep Geothermal Systems, (3) Direct Use, (4) Geothermal Heat Pumps (GHPs), and (5) Co-Produced and Geopressured. The workshop found that the domestic geothermal resource is very large, with significant benefits.

  3. 20% Wind Energy 20% Wind Energy

    E-Print Network [OSTI]

    Powell, Warren B.

    (government, industry, utilities, NGOs) Analyzes wind's potential contributions to energy security, economic · Transmission a challenge #12;Wind Power Class Resource Potential Wind Power Density at 50 m W/m 2 Wind Speed20% Wind Energy by 2030 20% Wind Energy by 2030 #12;Presentation and Objectives Overview Background

  4. Characterization of the Wind Power Resource in Europe and its Intermittency

    E-Print Network [OSTI]

    Cosseron, A.

    Wind power is assessed over Europe, with special attention given to the quantification of intermittency. Using the methodology developed in Gunturu and Schlosser (2011), the MERRA boundary flux data was used to compute ...

  5. Sandia Energy - Wind & Water Power Newsletter

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

    Wind & Water Power Newsletter Home Stationary Power Energy Conversion Efficiency Wind Energy Resources Wind & Water Power Newsletter Wind & Water Power NewsletterTara...

  6. Siting guidelines for utility application of wind turbines. Final report

    SciTech Connect (OSTI)

    Pennell, W.T.

    1983-01-01T23:59:59.000Z

    Utility-oriented guidelines are described for identifying viable sites for wind turbines. Topics and procedures are also discussed that are important in carrying out a wind turbine siting program. These topics include: a description of the Department of Energy wind resource atlases; procedures for predicting wind turbine performance at potential sites; methods for analyzing wind turbine economics; procedures for estimating installation and maintenance costs; methods for anlayzing the distribution of wind resources over an area; and instrumentation for documenting wind behavior at potential sites. The procedure described is applicable to small and large utilities. Although the procedure was developed as a site-selection tool, it can also be used by a utility who wishes to estimate the potential for wind turbine penetration into its future generation mix.

  7. Assessment of solar and wind energy resources in Ethiopia. I. Solar energy

    SciTech Connect (OSTI)

    Drake, F.; Mulugetta, Y. [Univ. of Leeds (United Kingdom)] [Univ. of Leeds (United Kingdom)

    1996-09-01T23:59:59.000Z

    This paper describes how data from a variety of sources are merged to present new countrywide maps of the solar energy distribution over Ethiopia. The spatial coverage of stations with radiation data was found to be unsatisfactory for the purpose of a countrywide solar energy assessment exercise. Therefore, radiation had to be predicted from sunshine hours by employing empirical models. Using data from seven stations in Ethiopia, linear and quadratic correlation relationships between monthly mean daily solar radiation and sunshine hours per day have been developed. These regional models show a distinct improvement over previously employed countrywide models. To produce a national solar-energy distribution profile, a spatial extension of the radiation/sunshine relationships had to be carried out. To do this, the intercepts(a) and slopes(b) of each of the seven linear regression equations and another six from previous studies, completed in neighbouring Sudan, Kenya and Yemen, were used to interpolate the corresponding values to areas between them. Subsequent to these procedures, 142 stations providing only sunshine data were assigned their `appropriate` a and b values to estimate the amount of solar radiation received, which was then used to produce annual and monthly solar radiation distribution maps for Ethiopia. The results show that in all regions solar energy is an abundant resource. 19 refs., 11 figs., 4 tabs.

  8. A Stochastic Unit-Commitment Model to Estimate the Costs of Changing Power Plant Operation under High Amounts of Intermittent Wind Power

    E-Print Network [OSTI]

    A Stochastic Unit-Commitment Model to Estimate the Costs of Changing Power Plant Operation under High Amounts of Intermittent Wind Power Integration Meibom, P.1 , Brand, H.2 , Barth, R.2 and Weber, C in several European countries. The introduction of substantial amounts of wind power in a liberalized

  9. Naval Station Newport Wind Resource Assessment. A Study Prepared in Partnership with the Environmental Protection Agency for the RE-Powering America's Land Initiative: Siting Renewable Energy on Potentially Contaminated Land and Mine Sites, and The Naval Facilities Engineering Service Center

    SciTech Connect (OSTI)

    Robichaud, R.; Fields, J.; Roberts, J. O.

    2012-02-01T23:59:59.000Z

    The U.S. Environmental Protection Agency (EPA) launched the RE-Powering America's Land initiative to encourage development of renewable energy (RE) on potentially contaminated land and mine sites. EPA is collaborating with the U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL) to evaluate RE options at Naval Station (NAVSTA) Newport in Newport, Rhode Island where multiple contaminated areas pose a threat to human health and the environment. Designated a superfund site on the National Priorities List in 1989, the base is committed to working toward reducing the its dependency on fossil fuels, decreasing its carbon footprint, and implementing RE projects where feasible. The Naval Facilities Engineering Service Center (NFESC) partnered with NREL in February 2009 to investigate the potential for wind energy generation at a number of Naval and Marine bases on the East Coast. NAVSTA Newport was one of several bases chosen for a detailed, site-specific wind resource investigation. NAVSTA Newport, in conjunction with NREL and NFESC, has been actively engaged in assessing the wind resource through several ongoing efforts. This report focuses on the wind resource assessment, the estimated energy production of wind turbines, and a survey of potential wind turbine options based upon the site-specific wind resource.

  10. Estimated global ocean wind power potential from QuikSCAT observations, accounting for turbine characteristics and siting

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2010-01-01T23:59:59.000Z

    has more than 30 offshore wind farms in operation oraway to be unheard, offshore wind farms can contain larger,turbines considered, offshore wind farms consisting of the

  11. Estimated global ocean wind power potential from QuikSCAT observations, accounting for turbine characteristics and siting

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2010-01-01T23:59:59.000Z

    the environmental benefit of wind farms [Martinez et al. ,than 30 offshore wind farms in operation or constructionto be unheard, offshore wind farms can contain larger, more

  12. Estimation of Blade and Tower Properties for the Gearbox Research Collaborative Wind Turbine

    SciTech Connect (OSTI)

    Bir, G.S.; Oyague, F.

    2007-11-01T23:59:59.000Z

    This report documents the structural and modal properties of the blade and tower of a 3-bladed 750-kW upwind turbine to develop an aeroelastic model of the wind turbine.

  13. Fatigue damage estimate comparisons for northern European and U.S. wind farm loading environments

    SciTech Connect (OSTI)

    Sutherland, H.J. [Sandia National Labs., Albuquerque, NM (United States). Wind Energy Technology Dept.; Kelley, N.D. [National Renewable Energy Lab., Golden, CO (United States). Wind Technology Div.

    1995-05-01T23:59:59.000Z

    Typical loading histories associated with wind turbine service environments in northern Europe and within a large wind farm in the continental US were recently compared by Kelley (1995) using the WISPER [Ten Have, 1992] loading standard and its development protocol. In this study, an equivalent load spectrum for a US wind farm was developed by applying the WISPER development protocol to representative service load histories collected from two adjacent turbines operating within a large wind farm in San Gorgonio Pass, California. The results of this study showed that turbines operating in the California wind farm experience many more loading cycles with larger peak-to-peak values for the same mean wind speed classification than their European counterparts. In this paper, the impact of the two WISPER-protocol fatigue-load spectra on service lifetime predictions are used to compare and contrast the impact of the two loading environments with one another. The service lifetime predictions are made using the LIFE2 Fatigue Analysis Code [Sutherland and Schluter, 1989] with the fatigue properties of typical fiber glass composite blade materials. Additional analyses, based on rainflow counted time histories from the San Gorgonio turbines, are also used in the comparisons. In general, these results indicate that the WISPER load spectrum from northern European sites significantly underestimates the WISPER protocol load spectrum from a US wind farm site; i.e., the WISPER load spectrum significantly underestimates the number and magnitude of the loads observed at a US wind farm site. The authors conclude that there are fundamental differences in the two service environments.

  14. Operational Impacts of Wind Energy Resources in the Bonneville Power Administration Control Area - Phase I Report

    SciTech Connect (OSTI)

    Makarov, Yuri V.; Lu, Shuai

    2008-07-15T23:59:59.000Z

    This report presents a methodology developed to study the future impact of wind on BPA power system load following and regulation requirements. The methodology uses historical data and stochastic processes to simulate the load balancing processes in the BPA power system, by mimicking the actual power system operations. Therefore, the results are close to reality, yet the study based on this methodology is convenient to conduct. Compared with the proposed methodology, existing methodologies for doing similar analysis include dispatch model simulation and standard deviation evaluation on load and wind data. Dispatch model simulation is constrained by the design of the dispatch program, and standard deviation evaluation is artificial in separating the load following and regulation requirements, both of which usually do not reflect actual operational practice. The methodology used in this study provides not only capacity requirement information, it also analyzes the ramp rate requirements for system load following and regulation processes. The ramp rate data can be used to evaluate generator response/maneuverability requirements, which is another necessary capability of the generation fleet for the smooth integration of wind energy. The study results are presented in an innovative way such that the increased generation capacity or ramp requirements are compared for two different years, across 24 hours a day. Therefore, the impact of different levels of wind energy on generation requirements at different times can be easily visualized.

  15. A SUMMARY OF TERTIARY COAL RESOURCES OF THE WIND RIVER BASIN, WYOMING

    E-Print Network [OSTI]

    and C. W. Keighin in U.S. Geological Survey Professional Paper 1625-A 1999 Resource assessment Resource assessment of selected Tertiary coal beds and zones in the Northern Rocky Mountains and Great member of the Fort Union Formation. 1999 Resource assessment of selected Tertiary coal beds and zones

  16. Bird Risk Behaviors and Fatalities at the Altamont Pass Wind Resource Area: Period of Performance, March 1998--December 2000

    SciTech Connect (OSTI)

    Thelander, C. G.; Smallwood, K. S.; Rugge, L.

    2003-12-01T23:59:59.000Z

    It has been documented that wind turbine operations at the Altamont Pass Wind Resource Area kill large numbers of birds of multiple species, including raptors. We initiated a study that integrates research on bird behaviors, raptor prey availability, turbine design, inter-turbine distribution, landscape attributes, and range management practices to explain the variation in avian mortality at two levels of analysis: the turbine and the string of turbines. We found that inter-specific differences in intensities of use of airspace within close proximity did not explain the variation in mortality among species. Unique suites of attributes relate to mortality of each species, so species-specific analyses are required to understand the factors that underlie turbine-caused fatalities. We found that golden eagles are killed by turbines located in the canyons and that rock piles produced during preparation of the wind tower laydown areas related positively to eagle mortality, perhaps due to the use of these rock piles as cover by desert cottontails. Other similar relationships between fatalities and environmental factors are identified and discussed. The tasks remaining to complete the project are summarized.

  17. Wind Power Price Trends in the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    the true cost of wind generation (which would be at least $and wind’s competitive position among generation resources.

  18. Comparison of Historical Satellite-Based Estimates of Solar Radiation Resources with Recent Rotating Shadowband Radiometer Measurements: Preprint

    SciTech Connect (OSTI)

    Myers, D. R.

    2009-03-01T23:59:59.000Z

    The availability of rotating shadow band radiometer measurement data at several new stations provides an opportunity to compare historical satellite-based estimates of solar resources with measurements. We compare mean monthly daily total (MMDT) solar radiation data from eight years of NSRDB and 22 years of NASA hourly global horizontal and direct beam solar estimates with measured data from three stations, collected after the end of the available resource estimates.

  19. Natural Gas Resources of the Greater Green River and Wind River Basins of Wyoming (Assessing the Technology Needs of Sub-economic Resources, Phase I: Greater Green River and Wind river Basins, Fall 2002)

    SciTech Connect (OSTI)

    Boswell, Ray; Douds, Ashley; Pratt, Skip; Rose, Kelly; Pancake, Jim; Bruner, Kathy (EG& G Services) [EG& G Services; Kuuskraa, Vello; Billingsley, Randy (Advanced Resources International) [Advanced Resources International

    2003-02-28T23:59:59.000Z

    In 2000, NETL conducted a review of the adequacy of the resource characterization databases used in its Gas Systems Analysis Model (GSAM). This review indicated that the most striking deficiency in GSAM’s databases was the poor representation of the vast resource believed to exist in low-permeability sandstone accumulations in western U.S. basins. The model’s databases, which are built primarily around the United States Geological Survey (USGS) 1995 National Assessment (for undiscovered resources), reflected an estimate of the original-gas-inplace (OGIP) only in accumulations designated “technically-recoverable” by the USGS –roughly 3% to 4% of the total estimated OGIP of the region. As these vast remaining resources are a prime target of NETL programs, NETL immediately launched an effort to upgrade its resource characterizations. Upon review of existing data, NETL concluded that no existing data were appropriate sources for its modeling needs, and a decision was made to conduct new, detailed log-based, gas-in-place assessments.

  20. Non-Stationary Spectral Estimation for Wind Turbine Induction Generator Faults Detection

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    - or indirect-drive, fixed- or variable-speed turbine generators, advanced signal processing tools are required on the generator stator current. The detection algorithm uses a recursive maximum likelihood estimator to track, induction machine, faults de- tection, stator current, spectral estimation, maximum likelihood estimator. I

  1. Estimate of the Geothermal Energy Resource in the Major Sedimentary Basins in the United States (Presentation)

    SciTech Connect (OSTI)

    Esposito, A.; Porro, C.; Augustine, C.; Roberts, B.

    2012-09-01T23:59:59.000Z

    Because most sedimentary basins have been explored for oil and gas, well logs, temperatures at depth, and reservoir properties such as depth to basement and formation thickness are well known. The availability of this data reduces exploration risk and allows development of geologic exploration models for each basin. This study estimates the magnitude of recoverable geothermal energy from 15 major known U.S. sedimentary basins and ranks these basins relative to their potential. The total available thermal resource for each basin was estimated using the volumetric heat-in-place method originally proposed by (Muffler, 1979). A qualitative recovery factor was determined for each basin based on data on flow volume, hydrothermal recharge, and vertical and horizontal permeability. Total sedimentary thickness maps, stratigraphic columns, cross sections, and temperature gradient information was gathered for each basin from published articles, USGS reports, and state geological survey reports. When published data were insufficient, thermal gradients and reservoir properties were derived from oil and gas well logs obtained on oil and gas commission databases. Basin stratigraphy, structural history, and groundwater circulation patterns were studied in order to develop a model that estimates resource size, temperature distribution, and a probable quantitative recovery factor.

  2. Estimate of Geothermal Energy Resource in Major U.S. Sedimentary Basins (Presentation)

    SciTech Connect (OSTI)

    Porro, C.; Augustine, C.

    2012-04-01T23:59:59.000Z

    This study estimates the magnitude of geothermal energy from fifteen major known US sedimentary basins and ranks these basins relative to their potential. Because most sedimentary basins have been explored for oil and gas, well logs, temperatures at depth, and reservoir properties are known. This reduces exploration risk and allows development of geologic exploration models for each basin as well as a relative assessment of geologic risk elements for each play. The total available thermal resource for each basin was estimated using the volumetric heat-in-place method originally proposed by Muffler (USGS). Total sedimentary thickness maps, stratigraphic columns, cross sections, and temperature gradient Information were gathered for each basin from published articles, USGS reports, and state geological survey reports. When published data was insufficient, thermal gradients and reservoir properties were derived from oil and gas well logs obtained on oil and gas commission websites. Basin stratigraphy, structural history, and groundwater circulation patterns were studied in order to develop a model that estimates resource size and temperature distribution, and to qualitatively assess reservoir productivity.

  3. innovati nNREL Confirms Large Potential for Grid Integration of Wind, Solar Power

    E-Print Network [OSTI]

    innovati nNREL Confirms Large Potential for Grid Integration of Wind, Solar Power To fully harvest a database of potential wind power sites and detailed, time-dependent estimates of the power that would the nation's bountiful wind and solar resources, it is critical to know how much electrical power from

  4. New report assesses offshore wind technology challenges and potential risks and benefits.

    E-Print Network [OSTI]

    New report assesses offshore wind technology challenges and potential risks and benefits. The report estimates that U.S. offshore winds have a gross potential generating capacity four times greater wind resources can provide many potential benefits, and with effective research, policies

  5. Estimated global ocean wind power potential from QuikSCAT observations, accounting for turbine characteristics and siting

    E-Print Network [OSTI]

    Capps, Scott B; Zender, Charles S

    2010-01-01T23:59:59.000Z

    Evaluation of global wind power, J. Geophys. Res. , 110,2009), Global ocean wind power sensitivity to surface layerCO 2 reductions via offshore wind power matched to inherent

  6. Recoverable Resource Estimate of Identified Onshore Geopressured Geothermal Energy in Texas and Louisiana (Presentation)

    SciTech Connect (OSTI)

    Esposito, A.; Augustine, C.

    2012-04-01T23:59:59.000Z

    Geopressured geothermal reservoirs are characterized by high temperatures and high pressures with correspondingly large quantities of dissolved methane. Due to these characteristics, the reservoirs provide two sources of energy: chemical energy from the recovered methane, and thermal energy from the recovered fluid at temperatures high enough to operate a binary power plant for electricity production. Formations with the greatest potential for recoverable energy are located in the gulf coastal region of Texas and Louisiana where significantly overpressured and hot formations are abundant. This study estimates the total recoverable onshore geopressured geothermal resource for identified sites in Texas and Louisiana. In this study a geopressured geothermal resource is defined as a brine reservoir with fluid temperature greater than 212 degrees F and a pressure gradient greater than 0.7 psi/ft.

  7. Estimation of Air-Sea Gas Transfer Using Conically Scanning SeaWinds Scatterometer Normalized Backscatter

    E-Print Network [OSTI]

    Glover, David M.

    Backscatter David M. Glover Department of Marine Chemistry and Geochemistry Woods Hole Oceanographic 2001 -- 31 March 2005 FINAL REPORT #12;Estimation of Air-Sea Gas Transfer from Scatterometry; Glover et . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . A-23 #12;Estimation of Air-Sea Gas Transfer from Scatterometry; Glover et al. ii B Daily Non

  8. Error propagation equations for estimating the uncertainty in high-speed wind tunnel test results

    SciTech Connect (OSTI)

    Clark, E.L.

    1994-07-01T23:59:59.000Z

    Error propagation equations, based on the Taylor series model, are derived for the nondimensional ratios and coefficients most often encountered in high-speed wind tunnel testing. These include pressure ratio and coefficient, static force and moment coefficients, dynamic stability coefficients, and calibration Mach number. The error equations contain partial derivatives, denoted as sensitivity coefficients, which define the influence of free-steam Mach number, M{infinity}, on various aerodynamic ratios. To facilitate use of the error equations, sensitivity coefficients are derived and evaluated for five fundamental aerodynamic ratios which relate free-steam test conditions to a reference condition.

  9. Recent Wind Resource Characterization Activities at the National Renewable Energy Laboratory

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection Radiation ProtectionRaisingRecent Publications

  10. Robi, Robichaud, Wind Technologies and Evolving Opportunities

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

    RPS * Wind Technology Overview * Larger Rotors * Taller Towers * Improved Controls * Wind Resource * Improved Assessment 2 Innova+on for Our Energy Future National Wind Technology...

  11. Impact of Transmission on Resource Adequacy in Systems with Wind and Solar Power: Preprint

    SciTech Connect (OSTI)

    Ibanez, E.; Milligan, M.

    2012-02-01T23:59:59.000Z

    Variable generation is on track to become a significant contributor to electric power systems worldwide. Thus, it is important to analyze the effect that renewables will have on the reliability of systems. In this paper we present a new tool being implemented at the National Renewable Energy Laboratory, which allows the inclusion of variable generation in the power system resource adequacy. The tool is used to quantify the potential contribution of transmission to reliability in highly interconnected systems and an example is provided using the Western Interconnection footprint.

  12. Energy Department Releases New Land-Based/Offshore Wind Resource Map |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube|6721 Federal RegisterHydrogen and FuelDefense as PartFramework |

  13. North Carolina/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jumpsource History View New Pages Recent Changes

  14. North Dakota/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jumpsource History View New Pages RecentI

  15. U.S. Virgin Islands Wind Resources Update 2014 | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2, 2015 -Helicopter Accident atConference |Energy Road Map: AnalysisU.S.

  16. WINDExchange: Puerto Rico and U.S. Virgin Islands 50-Meter Wind Resource

    Wind Powering America (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment Activities Printable80 m 01-APR-2011Map Maps

  17. Rhode Island/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎ | RoadmapRenewableGeothermalsource History View

  18. China Resources Wind Power Development Co Ltd Hua Run | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2,AUDIT REPORTEnergy Offshore Place: SpainGuajirugroSolar companyChinaCLP

  19. New York/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jump to:Neppelsource History View New Pages

  20. South Carolina/Wind Resources/Full Version | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎SolarCity Corp Jumpsource History View New

  1. File:Sri Lanka Wind Resource Map.pdf | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdf Jump to:ar-80m.pdf Jump to:Original RuleSection106examplereport.pdfSolar

  2. Wind Monitoring Report for Fort Wainwright's Donnelly Training Area

    SciTech Connect (OSTI)

    Orrell, Alice C.; Dixon, Douglas R.

    2011-01-18T23:59:59.000Z

    Using the wind data collected at a location in Fort Wainwright’s Donnelly Training Area (DTA) near the Cold Regions Test Center (CRTC) test track, Pacific Northwest National Laboratory (PNNL) estimated the gross and net energy productions that proposed turbine models would have produced exposed to the wind resource measured at the meteorological tower (met tower) location during the year of measurement. Calculations are based on the proposed turbine models’ standard atmospheric conditions power curves, the annual average wind speeds, wind shear estimates, and standard industry assumptions.

  3. Method and Case Study for Estimating the Ramping Capability of a Control Area or Balancing Authority and Implications for Moderate or High Wind Penetration: Preprint

    SciTech Connect (OSTI)

    Kirby, B.; Milligan, M.

    2005-05-01T23:59:59.000Z

    In several regions of the United States there has been a significant increase in wind generation capability over the past several years. As the penetration rate of wind capacity increases, grid operators and planners are increasingly concerned about accommodating the increased variability that wind contributes to the system. In this paper we examine the distinction between regulation, load following, hourly energy, and energy imbalance to understand how restructured power systems accommodate and value inter-hour ramps. We use data from two restructured markets, California and PJM, and from Western Area Power Administration's (WAPA's) Rocky Mountain control area to determine expected load-following capability in each region. Our approach is to examine the load-following capability that currently exists using data from existing generators in the region. We then examine the levels of wind penetration that can be accommodated with this capability using recently collected wind farm data. We discuss how load-following costs are captured in restructured markets, what resources are available to meet these requirements, why there are no explicit load-following tariffs, and the societal importance of being able to access generator ramping capability. Finally, the implications for wind plants and wind integration costs are examined.

  4. An assessment of the available windy land area and wind energy potential in the contiguous United States

    SciTech Connect (OSTI)

    Elliott, D.L.; Wendell, L.L.; Gower, G.L.

    1991-08-01T23:59:59.000Z

    Estimates of land areas with various levels of wind energy resource and resultant wind energy potential have been developed for each state in the contiguous United States. The estimates are based on published wind resource data and account for the exclusion of some windy lands as a result of environmental and land-use considerations. Despite these exclusions, the amount of wind resource estimated over the contiguous United States is surprisingly large and has the potential to supply a substantial fraction of the nation's energy needs, even with the use of today's wind turbine technology. Although this study shows that, after exclusions, only about 0.6% of the land area in the contiguous United States is characterized by high wind resource (comparable to that found in windy areas of California where wind energy is being cost-effectively developed), the wind electric potential that could be extracted with today's technology from these areas across the United States is equivalent to about 20% of the current US electric consumption. Future advances in wind turbine technology will further enhance the potential of wind energy. As advances in turbine technology allow areas of moderate wind resource to be developed, more than a tenfold increase in the wind energy potential is possible. These areas, which cover large sections of the Great Plains and are widely distributed throughout many other sections of the country, have the potential of producing more than three times the nation's current electric consumption. 9 refs., 12 figs., 13 tabs.

  5. Copyright 2008 IEEE. Reprinted from J. Rose, and I. Hiskens. Estimating Wind Turbine Parameters and Quantifying Their Effects on Dynamic Behavior.

    E-Print Network [OSTI]

    Copyright © 2008 IEEE. Reprinted from J. Rose, and I. Hiskens. Estimating Wind Turbine Parameters, July 2008. This material is posted here with permission of the IEEE. Such permission of the IEEE does or services. Internal or personal use of this material is permitted. However, permission to reprint

  6. Paper presented at EWEC 2008, Brussels, Belgium (31 March-03 April) Uncertainty Estimation of Wind Power Forecasts

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    -Antipolis, France Abstract--Short-term wind power forecasting tools providing "single-valued" (spot) predictions associated to the future wind power produc- tion for performing more efficiently functions such as reserves and modelling architec- tures for probabilistic wind power forecasting. Then, a comparison is carried out

  7. New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in Many DevilsForum |EnergyNew Catalytic ConversionNewDepartment of

  8. New DOE Modeling Tool Estimates Economic Benefits of Offshore Wind Plants |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOilNEW HAMPSHIRE BUILDSEnergy|NaturalSystemCommercialFacilities

  9. Final Report, Wind Power Resource Assessment on the Warm Springs Reservation Tribal Lands, Report No. DOE/GO/12103

    SciTech Connect (OSTI)

    Jim Manion, Warm Springs Power & Water Enterprises; David McClain, McClain & Associates; HDR Engineering; Dr. Stel Walker, Oregon State University

    2007-09-10T23:59:59.000Z

    This report concludes a five-year assessment of wind energy potential on the Confederated Tribes of Warm Springs Reservation of Oregon lands.

  10. A comparison of spanwise aerodynamic loads estimated from measured bending moments versus direct pressure measurements on horizontal axis wind turbine blades

    SciTech Connect (OSTI)

    Simms, D A; Butterfield, C P

    1991-10-01T23:59:59.000Z

    Two methods can be used to determine aerodynamic loads on a rotating wind turbine blade. The first is to make direct pressure measurements on the blade surface. This is a difficult process requiring costly pressure instrumentation. The second method uses measured flap bending moments in conjunction with analytical techniques to estimate airloads. This method, called ALEST, was originally developed for use on helicopter rotors and was modified for use on horizontal axis wind turbine blades. Estimating airloads using flap bending moments in much simpler and less costly because measurements can be made with conventional strain gages and equipment. This paper presents results of airload estimates obtained using both methods under a variety of operating conditions. Insights on the limitations and usefulness of the ALEST bending moment technique are also included. 10 refs., 6 figs.

  11. Wind energy bibliography

    SciTech Connect (OSTI)

    None

    1995-05-01T23:59:59.000Z

    This bibliography is designed to help the reader search for information on wind energy. The bibliography is intended to help several audiences, including engineers and scientists who may be unfamiliar with a particular aspect of wind energy, university researchers who are interested in this field, manufacturers who want to learn more about specific wind topics, and librarians who provide information to their clients. Topics covered range from the history of wind energy use to advanced wind turbine design. References for wind energy economics, the wind energy resource, and environmental and institutional issues related to wind energy are also included.

  12. 2011 Wind Technologies Market Report

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    Public Service Wind Integration Cost Impact Study. Preparedused to estimate wind integration costs and the ability toColorado 2 GW and 3 GW Wind Integration Cost Study. Denver,

  13. Geopressured Geothermal Resource and Recoverable Energy Estimate for the Wilcox and Frio Formations, Texas (Presentation)

    SciTech Connect (OSTI)

    Esposito, A.; Augustine, C.

    2011-10-01T23:59:59.000Z

    An estimate of the total and recoverable geopressured geothermal resource of the fairways in the Wilcox and Frio formations is made using the current data available. The flow rate of water and methane for wells located in the geopressured geothermal fairways is simulated over a 20-year period utilizing the TOUGH2 Reservoir Simulator and research data. The model incorporates relative permeability, capillary pressure, rock compressibility, and leakage from the bounding shale layers. The simulations show that permeability, porosity, pressure, sandstone thickness, well spacing, and gas saturation in the sandstone have a significant impact on the percent of energy recovered. The results also predict lower average well production flow rates and a significantly higher production of natural gas relative to water than in previous studies done from 1975 to 1980. Previous studies underestimate the amount of methane produced with hot brine. Based on the work completed in this study, multiphase flow processes and reservoir boundary conditions greatly influence the total quantity of the fluid produced as well as the ratio of gas and water in the produced fluid.

  14. Final report: Task 4a.2 20% wind scenario assessment of electric grid operational features

    SciTech Connect (OSTI)

    Toole, Gasper L. [Los Alamos National Laboratory

    2009-01-01T23:59:59.000Z

    Wind integration modeling in electricity generation capacity expansion models is important in that these models are often used to inform political or managerial decisions. Poor representation of wind technology leads to under-estimation of wind's contribution to future energy scenarios which may hamper growth of the industry. The NREL's Wind Energy Deployment System (WinDS) model provides the most detailed representation of geographically disperse renewable resources and the optimization of transmission expansion to access these resources. Because WinDS was selected as the primary modeling tool for the 20% Wind Energy by 2030 study, it is the ideal tool for supplemental studies of the transmission expansion results. However, as the wind industry grows and knowledge related to the wind resource and integration of wind energy into the electric system develops, the WinDS model must be continually improved through additional data and innovative algorithms to capture the primary effects of variable wind generation. The detailed representation of wind technology in the WinDS model can be used to provide improvements to the simplified representation of wind technology in other capacity expansion models. This task did not employ the WinDS model, but builds from it and its results. Task 4a.2 provides an assessment of the electric grid operational features of the 20% Wind scenario and was conducted using power flow models accepted by the utility industry. Tasks 2 provides information regarding the physical flow of electricity on the electric grid which is a critical aspect of infrastructure expansion scenarios. Expanding transmission infrastructure to access remote wind resource in a physically realizable way is essential to achieving 20% wind energy by 2030.

  15. A comparison of undiscovered oil and gas resource estimates, Los Padres National Forest in the Ventura Basin Province, California

    SciTech Connect (OSTI)

    Bird, K.J.; Valin, Z.C. [Geological Survey, Menlo Park, CA (United States); Bain, D.M. [Consultant, Daily City, CA (United States); Hopps, T.E. [Consultant, Santa Paula, CA (United States); Friehauf, J.S.F. [Forest Service, San Francisco, CA (United States)

    1995-04-01T23:59:59.000Z

    Two recent assessments of the undiscovered oil and gas resources of Los Padres National Forest lands in the Ventura Basin Province using different methodologies and personnel show remarkable coincidence of estimated resources. The 1989 U.S. Geological Survey assessment was part of a National appraisal. In the Ventura Basin Province, two separate plays were assessed and a percentage of resources from these plays was allocated to Federal lands. By this allocation, the undiscovered oil and gas resources of this part of the Los Padres National Forest are estimated to range from <10-140 MMBO (means probability 60 MMBO, million barrels of oil) and 10-250 BCFG (mean probability 110 BCFG, billion cubic feet of gas). In 1993, the U.S. Forest Service completed an oil and gas assessment of the entire 1.8 million-acre Los Padres National Forest as part of a Reasonably Foreseeable Oil and Gas Development Scenario. In those areas of the forest considered to have high potential for the occurrence of oil and gas deposits, a deposit simulation model was used. This method is based on a fundamental reservoir engineering formula in the USGS computer program, FASPU (Fast Appraisal System for Petroleum-Universal). By this method, the undiscovered oil and gas resource of this part of the Los Padres National Forest are estimated to range from 0-182 MMBO (mean probability 56 MMBO) and 9-233 BCFG (mean probability 103 BCFG). An additional 6 MMBO (mean probability) is allocated to forest lands with medium potential within this province but not to any specific prospects. The remarkable coincidence of estimate resources resulting from such different assessment methods and personnel is noteworthy and appears to provide an increased measure of confidence in the estimates.

  16. Variables Affecting Economic Development of Wind Energy

    SciTech Connect (OSTI)

    Lantz, E.; Tegen, S.

    2008-07-01T23:59:59.000Z

    NREL's JEDI Wind model performed an analysis of wind-power-related economic development drivers. Economic development benefits for wind and coal were estimated using NREL's JEDI Wind and JEDI Coal models.

  17. Solar and Wind Energy Resource Assessment (SWERA) Data from the National Renewable Energy Library and the United Nations Environment Program (UNEP)

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

    The SWERA Programme provides easy access to credible renewable energy data to stimulate investment in, and development of, renewable energy technologies. The Solar and Wind Energy Resource Assessment (SWERA) started in 2001 to advance the large-scale use of renewable energy technologies by increasing the availability and accessibility of high-quality solar and wind resource information. SWERA began as a pilot project with funding from the Global Environment Facility (GEF) and managed by the United Nations Environment Programme's (UNEP) Division of Technology, Industry and Economics (DTIE) in collaboration with more than 25 partners around the world. With the success of the project in 13 pilot countries SWERA expanded in 2006 into a full programme. Its expanded mission is to provide high quality information on renewable energy resources for countries and regions around the world, along with the tools needed to apply these data in ways that facilitate renewable energy policies and investments.[from the SWERA Guide at http://swera.unep.net/index.php?id=sweraguide_chp1] DOE and, in particular, the National Renewable Energy Laboratory, has been a functioning partner from the beginning. NREL was part of the original technical team involved in mapping, database, and GIS activities. Solar, wind, and meteorological data for selected countries can be accessed through a variety of different tools and interfaces.

  18. Wind energy: Program overview, FY 1992

    SciTech Connect (OSTI)

    Not Available

    1993-06-01T23:59:59.000Z

    The DOE Wind Energy Program assists utilities and industry in developing advanced wind turbine technology to be economically competitive as an energy source in the marketplace and in developing new markets and applications for wind systems. This program overview describes the commercial development of wind power, wind turbine development, utility programs, industry programs, wind resources, applied research in wind energy, and the program structure.

  19. History of, and recent progress in, wind-energy utilization

    SciTech Connect (OSTI)

    Soerensen, B. [Roskilde Univ. (Denmark)

    1995-11-01T23:59:59.000Z

    This review presents the current status of wind turbine technology and recent advances in understanding the long history of wind energy. Reasons for the convergence of technologies solutions towards a horizontal axis concept with two or three blades are discussed, and the advances in materials science are identified as determinants of the change toward increasing optimum turbine size. The modest environmental impacts of wind turbines are illustrated by recent life-cycle analyses, and the economic incentive structure and power buy-back rates in different countries are invoked to explain the variation in wind technology penetration in countries with similar resource potentials. Finally, the possible future role of wind technology is discussed, based on resource estimates, competing land demands, government commitments and technological trends, including the recent offshore wind farm developments. 83 refs., 15 figs., 6 tabs.

  20. Modeling the Benefits of Storage Technologies to Wind Power

    SciTech Connect (OSTI)

    Sullivan, P.; Short, W.; Blair, N.

    2008-06-01T23:59:59.000Z

    Rapid expansion of wind power in the electricity sector is raising questions about how wind resource variability might affect the capacity value of wind farms at high levels of penetration. Electricity storage, with the capability to shift wind energy from periods of low demand to peak times and to smooth fluctuations in output, may have a role in bolstering the value of wind power at levels of penetration envisioned by a new Department of Energy report ('20% Wind by 2030, Increasing Wind Energy's Contribution to U.S. Electricity Supply'). This paper quantifies the value storage can add to wind. The analysis was done employing the Regional Energy Deployment System (ReEDS) model, formerly known as the Wind Deployment System (WinDS) model. ReEDS was used to estimate the cost and development path associated with 20% penetration of wind in the report. ReEDS differs from the WinDS model primarily in that the model has been modified to include the capability to build and use three storage technologies: pumped-hydroelectric storage (PHS), compressed-air energy storage (CAES), and batteries. To assess the value of these storage technologies, two pairs of scenarios were run: business-as-usual, with and without storage; 20% wind energy by 2030, with and without storage. This paper presents the results from those model runs.

  1. Proceedings Nordic Wind Power Conference

    E-Print Network [OSTI]

    Estimation of Possible Power for Wind Plant Control Power Fluctuations from Offshore Wind Farms; Model Validation System grounding of wind farm medium voltage cable grids Faults in the Collection Grid of Offshore systems of wind turbines and wind farms. NWPC presents the newest research results related to technical

  2. Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > TheNuclear Press ReleasesIn the InorganicResources Resources Policies,

  3. Resources

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonant Soft X-Ray Scattering of0 Resource ProgramResources

  4. Wind Power: How Much, How Soon, and At What Cost?

    E-Print Network [OSTI]

    Wiser, Ryan H

    2010-01-01T23:59:59.000Z

    on U.S. Wind Power Installation, Cost, and Performanceaccess the nation's lowest-cost wind resources can be builtpressure on installed wind project costs while the industry

  5. RELIABILITY OF WIND POWER FROM DISPERSED SITES: A PRELIMINARY ASSESSMENT

    E-Print Network [OSTI]

    Kahn, E.

    2011-01-01T23:59:59.000Z

    Coincidence of Demand and Wind Resource Diurnal PowerOutput Variations for Three Wind Regimes List of TablesCAPACITY CREDIT FOR WIND ARRAYS: THE PROBLEM . . . . . . .

  6. Enabling Wind Power Nationwide

    Office of Environmental Management (EM)

    including natural gas, and competing renewable power resources such as solar photovoltaics. Figure 4-3. Wind turbine hub height trends in Germany from 2007 to 2014 Source:...

  7. Building a market for small wind: The break-even turnkey cost of residential wind systems in the United States

    E-Print Network [OSTI]

    Edwards, Jennifer L.; Wiser, Ryan; Bolinger, Mark; Forsyth, Trudy

    2004-01-01T23:59:59.000Z

    Break-Even Turnkey Cost of Residential Wind Systems in theaggregate installed cost of a small wind system that couldand wind resource class, (2) significant cost reductions

  8. The KAMM/WAsP Numerical Wind Atlas A powerful ingredient for wind energy planning

    E-Print Network [OSTI]

    etc. §§ Legislation Master plans EIA GUIDELINES APPROVALS #12;Outline · Wind resource mapping for Environmental Prediction and National Center for Atmospheric Research (USA), United States Geological Survey. National scale wind resource overview · Input: numerical wind atlas database (large domains) · Output

  9. Resources

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

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

  10. Wind energy information guide

    SciTech Connect (OSTI)

    NONE

    1996-04-01T23:59:59.000Z

    This book is divided into nine chapters. Chapters 1--8 provide background and annotated references on wind energy research, development, and commercialization. Chapter 9 lists additional sources of printed information and relevant organizations. Four indices provide alphabetical access to authors, organizations, computer models and design tools, and subjects. A list of abbreviations and acronyms is also included. Chapter topics include: introduction; economics of using wind energy; wind energy resources; wind turbine design, development, and testing; applications; environmental issues of wind power; institutional issues; and wind energy systems development.

  11. Wind/Wave Misalignment in the Loads Analysis of a Floating Offshore Wind Turbine: Preprint

    SciTech Connect (OSTI)

    Barj, L.; Stewart, S.; Stewart, G.; Lackner, M.; Jonkman, J.; Robertson, A.

    2014-02-01T23:59:59.000Z

    Wind resources far from the shore and in deeper seas have encouraged the offshore wind industry to look into floating platforms. The International Electrotechnical Commission (IEC) is developing a new technical specification for the design of floating offshore wind turbines that extends existing design standards for land-based and fixed-bottom offshore wind turbines. The work summarized in this paper supports the development of best practices and simulation requirements in the loads analysis of floating offshore wind turbines by examining the impact of wind/wave misalignment on the system loads under normal operation. Simulations of the OC3-Hywind floating offshore wind turbine system under a wide range of wind speeds, significant wave heights, peak-spectral periods and wind/wave misalignments have been carried out with the aero-servo-hydro-elastic tool FAST [4]. The extreme and fatigue loads have been calculated for all the simulations. The extreme and fatigue loading as a function of wind/wave misalignment have been represented as load roses and a directional binning sensitivity study has been carried out. This study focused on identifying the number and type of wind/wave misalignment simulations needed to accurately capture the extreme and fatigue loads of the system in all possible metocean conditions considered, and for a down-selected set identified as the generic US East Coast site. For this axisymmetric platform, perpendicular wind and waves play an important role in the support structure and including these cases in the design loads analysis can improve the estimation of extreme and fatigue loads. However, most structural locations see their highest extreme and fatigue loads with aligned wind and waves. These results are specific to the spar type platform, but it is expected that the results presented here will be similar to other floating platforms.

  12. Application analysis of Monte Carlo to estimate the capacity of geothermal resources in Lawu Mount

    SciTech Connect (OSTI)

    Supriyadi, E-mail: supriyadi-uno@yahoo.co.nz [Physics, Faculty of Mathematics and Natural Sciences, University of Jember, Jl. Kalimantan Kampus Bumi Tegal Boto, Jember 68181 (Indonesia); Srigutomo, Wahyu [Complex system and earth physics, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jl. Ganesha 10, Bandung 40132 (Indonesia); Munandar, Arif [Kelompok Program Penelitian Panas Bumi, PSDG, Badan Geologi, Kementrian ESDM, Jl. Soekarno Hatta No. 444 Bandung 40254 (Indonesia)

    2014-03-24T23:59:59.000Z

    Monte Carlo analysis has been applied in calculation of geothermal resource capacity based on volumetric method issued by Standar Nasional Indonesia (SNI). A deterministic formula is converted into a stochastic formula to take into account the nature of uncertainties in input parameters. The method yields a range of potential power probability stored beneath Lawu Mount geothermal area. For 10,000 iterations, the capacity of geothermal resources is in the range of 139.30-218.24 MWe with the most likely value is 177.77 MWe. The risk of resource capacity above 196.19 MWe is less than 10%. The power density of the prospect area covering 17 km{sup 2} is 9.41 MWe/km{sup 2} with probability 80%.

  13. Automating Natural Disaster Impact Analysis: An Open Resource to Visually Estimate a Hurricane s Impact on the Electric Grid

    SciTech Connect (OSTI)

    Barker, Alan M [ORNL; Freer, Eva B [ORNL; Omitaomu, Olufemi A [ORNL; Fernandez, Steven J [ORNL; Chinthavali, Supriya [ORNL; Kodysh, Jeffrey B [ORNL

    2013-01-01T23:59:59.000Z

    An ORNL team working on the Energy Awareness and Resiliency Standardized Services (EARSS) project developed a fully automated procedure to take wind speed and location estimates provided by hurricane forecasters and provide a geospatial estimate on the impact to the electric grid in terms of outage areas and projected duration of outages. Hurricane Sandy was one of the worst US storms ever, with reported injuries and deaths, millions of people without power for several days, and billions of dollars in economic impact. Hurricane advisories were released for Sandy from October 22 through 31, 2012. The fact that the geoprocessing was automated was significant there were 64 advisories for Sandy. Manual analysis typically takes about one hour for each advisory. During a storm event, advisories are released every two to three hours around the clock, and an analyst capable of performing the manual analysis has other tasks they would like to focus on. Initial predictions of a big impact and landfall usually occur three days in advance, so time is of the essence to prepare for utility repair. Automated processing developed at ORNL allowed this analysis to be completed and made publicly available within minutes of each new advisory being released.

  14. Resource Estimation in Software Engineering1 Lionel C. Briand and Isabella Wieczorek

    E-Print Network [OSTI]

    Briand, Lionel C.

    as possible, it is inevitable that such a comparison exercise be somewhat subjective. We however, provide to employ. We also discuss the applications of such estimation methods and provide practical guidelines and justified comparisons in Section 6. Section 7 provides guidelines regarding the selection of appropriate

  15. Searchlight Wind Energy Project FEIS Appendix E

    Office of Environmental Management (EM)

    June 2, 2009 District Las Vegas Field Office Resource Area Activity (program) Proposed Wind Generation SECTION A. PROJECT INFORMATION 1. Project Name Searchlight Wind Project 4....

  16. Iceberg size and orientation estimation using SeaWinds K.M. Stuart, D.G. Long

    E-Print Network [OSTI]

    Long, David G.

    processes. For instance, iceberg positions affect shipping lanes, outline ocean currents, and influence but are unable to penetrate cloud cover and are dependent on solar illumination. Despite the high Ocean has also been documented. Even though SeaWinds was never designed to track icebergs, an extensive

  17. Wind Energy at NREL's National Wind Technology Center

    SciTech Connect (OSTI)

    None

    2010-01-01T23:59:59.000Z

    It is a pure, plentiful natural resource. Right now wind is in high demand and it holds the potential to transform the way we power our homes and businesses. NREL is at the forefront of wind energy research and development. NREL's National Wind Technology Center (NWTC) is a world-class facility dedicated to accelerating and deploying wind technology.

  18. Wind Energy at NREL's National Wind Technology Center

    ScienceCinema (OSTI)

    None

    2013-05-29T23:59:59.000Z

    It is a pure, plentiful natural resource. Right now wind is in high demand and it holds the potential to transform the way we power our homes and businesses. NREL is at the forefront of wind energy research and development. NREL's National Wind Technology Center (NWTC) is a world-class facility dedicated to accelerating and deploying wind technology.

  19. Wind Power

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsingWhat is abig world of tinyWind Industry SoarsWind

  20. Fact Sheet: Tehachapi Wind Energy Storage Project (October 2012...

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

    Wind Resource Area because it is one of the largest wind resource areas in the world. Electricity Delivery & Energy Reliability Energy Storage Program Southern California...

  1. DOE Announces Webinars on an Offshore Wind Economic Impacts Model...

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

    an Offshore Wind Economic Impacts Model, Resources for Tribal Energy Efficiency Projects, and More DOE Announces Webinars on an Offshore Wind Economic Impacts Model, Resources for...

  2. A Method for Estimating Undiscovered Geothermal Resources in Nevada and the

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergy Information FlashingEvaluation ||Great Basin

  3. Wind energy and SAR wind mapping Charlotte Hasager(2) and merete christiansen(1)

    E-Print Network [OSTI]

    offshore wind farms are operating and more are in construction. Thus the study is focussed on an area is ongoing, and the series of wind maps are used for investigation of offshore wind resources. In wind energy the siting of a wind farm is dependent upon reliable information about the wind climate within the area

  4. Revisiting the 'Buy versus Build' decision for publicly owned utilities in California considering wind and geothermal resources

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2001-10-01T23:59:59.000Z

    The last two decades have seen a dramatic increase in the market share of independent, non-utility generators (NUGs) relative to traditional, utility-owned generation assets. Accordingly, the ''buy versus build'' decision facing utilities--i.e., whether a utility should sign a power purchase agreement (PPA) with a NUG, or develop and own the generation capacity itself--has gained prominence in the industry. Specific debates have revolved around the relative advantages of, the types of risk created by, and the regulatory incentives favoring each approach. Very little of this discussion has focused specifically on publicly owned electric utilities, however, perhaps due to the belief that public power's tax-free financing status leaves little space in which NUGs can compete. With few exceptions (Wiser and Kahn 1996), renewable sources of supply have received similarly scant attention in the buy versus build debate. In this report, we revive the ''buy versus build'' debate and apply it to the two sectors of the industry traditionally underrepresented in the discussion: publicly owned utilities and renewable energy. Contrary to historical treatment, this debate is quite relevant to public utilities and renewables because publicly owned utilities are able to take advantage of some renewable energy incentives only in a ''buy'' situation, while others accrue only in a ''build'' situation. In particular, possible economic advantages of public utility ownership include: (1) the tax-free status of publicly owned utilities and the availability of low-cost debt, and (2) the renewable energy production incentive (REPI) available only to publicly owned utilities. Possible economic advantages to entering into a PPA with a NUG include: (1) the availability of federal tax credits and accelerated depreciation schedules for certain forms of NUG-owned renewable energy, and (2) the California state production incentives available to NUGs but not utilities. This report looks at a publicly owned utility's decision to buy or build new renewable energy capacity--specifically wind or geothermal power--in California. To examine the economic aspects of this decision, we modified and updated a 20-year financial cash-flow model to assess the levelized cost of electricity under four supply options: (1) public utility ownership of new geothermal capacity, (2) public utility ownership of new wind capacity, (3) a PPA for new geothermal capacity, and (4) a PPA for new wind capacity.

  5. Advanced controls for floating wind turbines

    E-Print Network [OSTI]

    Casanovas, Carlos (Casanovas Bermejo)

    2014-01-01T23:59:59.000Z

    Floating Offshore Wind Turbines (FOWT) is a technology that stands to spearhead the rapid growth of the offshore wind energy sector and allow the exploration of vast high quality wind resources over coastal and offshore ...

  6. Estimating Methods

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

    1997-03-28T23:59:59.000Z

    Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.

  7. Sandia Energy - Sandia Wind Energy in the News

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

    Sandia Wind Energy in the News Home Stationary Power Energy Conversion Efficiency Wind Energy Resources Sandia Wind Energy in the News Sandia Wind Energy in the NewsTara...

  8. Wind: wind power density maps at 50 m above ground and 1km resolution...

    Open Energy Info (EERE)

    PDF maps of Eastern China wind mapping. (Purpose): To provide information on the wind resource potential in eastern China. Includes maps of full mapping region, and 15...

  9. Commercial Scale Wind Incentive Program

    Broader source: Energy.gov [DOE]

    Energy Trust of Oregon’s Commercial Scale Wind offering provides resources and cash incentives to help communities, businesses land owners, and government entities install wind turbine systems up...

  10. Analyzing the Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity at Different Sites in California and the Northwest

    E-Print Network [OSTI]

    Fripp, Matthias; Wiser, Ryan

    2006-01-01T23:59:59.000Z

    Schwartz. 1993. Wind Energy Potential in the United States .for estimates of wind power potential. ” Journal of Appliedof electric power from potential wind farm locations in

  11. Aleutian Pribilof Islands Wind Energy Feasibility Study

    SciTech Connect (OSTI)

    Bruce A. Wright

    2012-03-27T23:59:59.000Z

    Under this project, the Aleutian Pribilof Islands Association (APIA) conducted wind feasibility studies for Adak, False Pass, Nikolski, Sand Point and St. George. The DOE funds were also be used to continue APIA's role as project coordinator, to expand the communication network quality between all participants and with other wind interest groups in the state and to provide continued education and training opportunities for regional participants. This DOE project began 09/01/2005. We completed the economic and technical feasibility studies for Adak. These were funded by the Alaska Energy Authority. Both wind and hydro appear to be viable renewable energy options for Adak. In False Pass the wind resource is generally good but the site has high turbulence. This would require special care with turbine selection and operations. False Pass may be more suitable for a tidal project. APIA is funded to complete a False Pass tidal feasibility study in 2012. Nikolski has superb potential for wind power development with Class 7 wind power density, moderate wind shear, bi-directional winds and low turbulence. APIA secured nearly $1M from the United States Department of Agriculture Rural Utilities Service Assistance to Rural Communities with Extremely High Energy Costs to install a 65kW wind turbine. The measured average power density and wind speed at Sand Point measured at 20m (66ft), are 424 W/m2 and 6.7 m/s (14.9 mph) respectively. Two 500kW Vestas turbines were installed and when fully integrated in 2012 are expected to provide a cost effective and clean source of electricity, reduce overall diesel fuel consumption estimated at 130,000 gallons/year and decrease air emissions associated with the consumption of diesel fuel. St. George Island has a Class 7 wind resource, which is superior for wind power development. The current strategy, led by Alaska Energy Authority, is to upgrade the St. George electrical distribution system and power plant. Avian studies in Nikolski and Sand Point have allowed for proper wind turbine siting without killing birds, especially endangered species and bald eagles. APIA continues coordinating and looking for funding opportunities for regional renewable energy projects. An important goal for APIA has been, and will continue to be, to involve community members with renewable energy projects and energy conservation efforts.

  12. Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity at Different Sites in California and the Northwest

    E-Print Network [OSTI]

    Fripp, Matthias; Wiser, Ryan

    2006-01-01T23:59:59.000Z

    1992). “Capacity credit of wind power in the Netherlands. ”modeling as a tool for wind resource assessment andBurton, T. , et al. (2001). Wind Energy Handbook, John

  13. Land-use implications of wind-energy-conversion systems

    SciTech Connect (OSTI)

    Noun, R.J.

    1981-02-01T23:59:59.000Z

    An estimated 20 utilities in the United States are now investigating potential wind machine sites in their areas. Identifying sites for wind machine clusters (wind farms) involves more than just finding a location with a suitable wind resource. Consideration must also be given to the proximity of sites to existing transmission lines, environmental impacts, aesthetics, and legal concerns as well as the availability of and alternative uses for the land. These issues have made it increasingly difficult for utilities to bring conventional power plants on-line quickly. Utilities are now required, however, to give careful consideration to specific legal, social, and environmental questions raised by the siting of wind energy conversion systems (WECS).

  14. Error propagation equations and tables for estimating the uncertainty in high-speed wind tunnel test results

    SciTech Connect (OSTI)

    Clark, E.L.

    1993-08-01T23:59:59.000Z

    Error propagation equations, based on the Taylor series model, are derived for the nondimensional ratios and coefficients most often encountered in high-speed wind tunnel testing. These include pressure ratio and coefficient, static force and moment coefficients, dynamic stability coefficients, calibration Mach number and Reynolds number. The error equations contain partial derivatives, denoted as sensitivity coefficients, which define the influence of free-stream Mach number, M{infinity}, on various aerodynamic ratios. To facilitate use of the error equations, sensitivity coefficients are derived and evaluated for nine fundamental aerodynamic ratios, most of which relate free-stream test conditions (pressure, temperature, density or velocity) to a reference condition. Tables of the ratios, R, absolute sensitivity coefficients, {partial_derivative}R/{partial_derivative}M{infinity}, and relative sensitivity coefficients, (M{infinity}/R) ({partial_derivative}R/{partial_derivative}M{infinity}), are provided as functions of M{infinity}.

  15. U.S. Wind Manufacturing: Taller Hub Heights to Access Higher...

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

    U.S. Wind Manufacturing: Taller Hub Heights to Access Higher Wind Resources and Lower Cost of Energy U.S. Wind Manufacturing: Taller Hub Heights to Access Higher Wind Resources and...

  16. Synoptic and local influences on boundary layer processes, with an application to California wind power

    E-Print Network [OSTI]

    Mansbach, David K.

    2010-01-01T23:59:59.000Z

    California o?shore wind energy potential. Renewable Energy,2008: Ex- ploring wind energy potential o? the Californiafor estimates of wind power potential. Journal of Applied

  17. Prototype bucket foundation for wind turbines

    E-Print Network [OSTI]

    Prototype bucket foundation for wind turbines -natural frequency estimation Lars Bo Ibsen Morten bucket foundation for wind turbines -natural frequency estimation by Lars Bo Ibsen Morten Liingaard foundation for wind turbines--natural frequency estimation" is divided into four numbered sections

  18. 2010 Wind Technologies Market Report

    E-Print Network [OSTI]

    Wiser, Ryan

    2012-01-01T23:59:59.000Z

    estimates for installed capacity. Other methodological2008, yielding a cumulative installed capacity of small windTexas in cumulative installed capacity are Iowa, California,

  19. Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-04-01T23:59:59.000Z

    This fact sheet outlines the top 10 benefits of wind energy, including cost, water savings, job creation, indigenous resource, and low operating costs.

  20. The Cost of Transmission for Wind Energy: A Review of Transmission Planning Studies

    E-Print Network [OSTI]

    Mills, Andrew D.

    2009-01-01T23:59:59.000Z

    in Systems with Wind Generation. DTI Centre for DistributedCost Resource Plan Wind Generation. Xcel Energy http://the Development of Wind Powered Generation in Southwestern

  1. Synoptic and local influences on boundary layer processes, with an application to California wind power

    E-Print Network [OSTI]

    Mansbach, David K.

    2010-01-01T23:59:59.000Z

    3.4.2 Wind roses . . . . . . . .Figure 5.5: Downscaled wind speed changes and componentin?uences on California’s wind energy resource. Part 1:

  2. Small Wind Information (Postcard)

    SciTech Connect (OSTI)

    Not Available

    2011-08-01T23:59:59.000Z

    The U.S. Department of Energy's Wind Powering America initiative maintains a website section devoted to information about small wind turbines for homeowners, ranchers, and small businesses. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to this online resource.

  3. 20th Century Reanalysis Project Ensemble Gateway: 56 Estimates of World Temperature, Pressure, Humidity, and Wind, 1871-2010

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

    This site provides data from the 20th Century Reanalysis Project, offering temperature, pressure, humidity, and wind predictions in 200 km sections all around the earth from 1871 to 2010, every 6 hours, based on historical data. The ensemble mean and standard deviation for each value were calculated over a set of 56 simulations. Data for each of the 56 ensemble members are included here. The dataset consists of files in netCDF 4 format that are available for download from the National Energy Research. The goal of the 20th Century Reanalysis Project is to use a Kalman filter-based technique to produce a global trophospheric circulation dataset at four-times-daily resolution back to 1871. The only dataset available for the early 20th century consists of error-ridden hand-drawn analyses of the mean sea level pressure field over the Northern Hemisphere. Modern data assimilation systems have the potential to improve upon these maps, but prior to 1948, few digitized upper-air sounding observations are available for such a reanalysis. The global tropospheric circulation dataset will provide an important validation check on the climate models used to make 21st century climate projections....[copied from http://portal.nersc.gov/project/20C_Reanalysis/

  4. Wind Energy Benefits (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2015-01-01T23:59:59.000Z

    This fact sheet outlines the top 10 benefits of wind energy, including cost, water savings, job creation, indigenous resource, and low operating costs.

  5. Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power Program (WWPP)

    Broader source: Energy.gov [DOE]

    This fact sheet outlines the top 10 benefits of wind energy, including cost, water savings, job creation, indigenous resource, and low operating costs.

  6. WIND ENERGY Wind Energ. (2014)

    E-Print Network [OSTI]

    Peinke, Joachim

    2014-01-01T23:59:59.000Z

    loads from the wind inflow through rotor aerodynamics, drive train and power electronics is stillWIND ENERGY Wind Energ. (2014) Published online in Wiley Online Library (wileyonlinelibrary wind inflow conditions M. R. Luhur, J. Peinke, J. Schneemann and M. Wächter ForWind-Center for Wind

  7. Wind Powering America Podcasts, Wind Powering America (WPA)

    SciTech Connect (OSTI)

    Not Available

    2012-04-01T23:59:59.000Z

    Wind Powering America and the National Association of Farm Broadcasters produce a series of radio interviews featuring experts discussing wind energy topics. The interviews are aimed at a rural stakeholder audience and are available as podcasts. On the Wind Powering America website, you can access past interviews on topics such as: Keys to Local Wind Energy Development Success, What to Know about Installing a Wind Energy System on Your Farm, and Wind Energy Development Can Revitalize Rural America. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to this online resource for podcast episodes.

  8. The Wind Integration National Dataset (WIND) toolkit (Presentation)

    SciTech Connect (OSTI)

    Caroline Draxl: NREL

    2014-01-01T23:59:59.000Z

    Regional wind integration studies require detailed wind power output data at many locations to perform simulations of how the power system will operate under high penetration scenarios. The wind datasets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as being time synchronized with available load profiles.As described in this presentation, the WIND Toolkit fulfills these requirements by providing a state-of-the-art national (US) wind resource, power production and forecast dataset.

  9. The divergent wind component in data sparse tropical wind fields 

    E-Print Network [OSTI]

    Snyder, Bruce Alan

    1985-01-01T23:59:59.000Z

    boundary data were estimated by linear extrapolation from inner to outer grid points. Comparisons of level Illb wind data and cloud drift winds were made using Geostationary Operational Environmental Satelhte (GOES) West observed winds obtained from... for 0000 GMT 25 January 1979 were drawn and subjectively compared. Claudy regions viewed in enhanced GOES West imagery were superimposed on these streamline fields to determine whether the aliased wind fields correlated well with the convective activity...

  10. Ris-R-1239(EN) Wind Energy Department

    E-Print Network [OSTI]

    .3 Numerical wind tunnel 10 3.4 Modal analysis of wind turbine blades 11 3.5 Aeroelastic stability 12 4 43 12 The Wind Turbine Blade Testing Centre (Sparkćr Centre) 44 12.1 Fatigue blade tests 45 12 of wind turbines; prediction of wind loads and wind resources as well as methods to determine

  11. Challenges in Predicting Power Output from Offshore Wind Farms

    E-Print Network [OSTI]

    Pryor, Sara C.

    Challenges in Predicting Power Output from Offshore Wind Farms R. J. Barthelmie1 and S. C. Pryor2 Abstract: Offshore wind energy is developing rapidly in Europe and the trend is towards large wind farms an offshore wind farm, accurate assessment of the wind resource/power output from the wind farm is a necessity

  12. Sandia National Laboratories: Solar Resource Assessment

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

    * Solar Resource Assessment Comments are closed. Renewable Energy Wind Energy Wind Plant Optimization Test Site Operations & Maintenance Safety: Test Facilities Capital Equipment...

  13. Wind Integration

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

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

  14. Wind Power

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch >Internship Program TheSiteEurekaWeekly UserWhat's New Today aboutWind

  15. West Winds Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri GlobalJump to: navigation,Goff,Holt WindInformationWestWinds Wind

  16. The Political Economy of Wind Power in China

    E-Print Network [OSTI]

    Swanson, Ryan Landon

    2011-01-01T23:59:59.000Z

    solar panels are too expensive to install domestically, China‘China,? as Chinese wind resources are abundant and wind power is cheaper than solar

  17. Obama Administration Hosts Great Lakes Offshore Wind Workshop...

    Office of Environmental Management (EM)

    wind development in the Great Lakes closer to fruition." "The country's vast offshore wind resources have the potential to dramatically reduce America's dependence on fossil...

  18. Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity in California and the Northwest

    E-Print Network [OSTI]

    Wiser, Ryan H

    2008-01-01T23:59:59.000Z

    and S. Bretz, "Wind Generation in the Future Competitiveenergy sources, wind power generation I. I NTRODUCTION Windwind alone. Index Terms—energy resources, power generation

  19. Advancements in Wind Integration Study Data Modeling: The Wind Integration National Dataset (WIND) Toolkit; Preprint

    SciTech Connect (OSTI)

    Draxl, C.; Hodge, B. M.; Orwig, K.; Jones, W.; Searight, K.; Getman, D.; Harrold, S.; McCaa, J.; Cline, J.; Clark, C.

    2013-10-01T23:59:59.000Z

    Regional wind integration studies in the United States require detailed wind power output data at many locations to perform simulations of how the power system will operate under high-penetration scenarios. The wind data sets that serve as inputs into the study must realistically reflect the ramping characteristics, spatial and temporal correlations, and capacity factors of the simulated wind plants, as well as be time synchronized with available load profiles. The Wind Integration National Dataset (WIND) Toolkit described in this paper fulfills these requirements. A wind resource dataset, wind power production time series, and simulated forecasts from a numerical weather prediction model run on a nationwide 2-km grid at 5-min resolution will be made publicly available for more than 110,000 onshore and offshore wind power production sites.

  20. Ris National Laboratory Wind Energy Department

    E-Print Network [OSTI]

    and the wind power density 36 (Troen & Petersen, 1989). In screening for potential offshore wind 37farm sitesRisø National Laboratory Postprint Wind Energy Department Year 2006 Paper: www.risoe.dk/rispubl/art/2006_96.pdf Wind resource assessment from C-band SAR Merete Bruun Christiansen a, Wolfgang Koch b

  1. Wind: wind power density maps at 50m above ground and 1km resolution...

    Open Energy Info (EERE)

    density for Ghana. (Purpose):HTMLREMOVEDHTMLREMOVEDTo provide information on the wind resource potential in Ghana. Data and Resources Download MapsZIP Download Maps More...

  2. Wind: wind power density maps at 50 m above ground and 1km resolution...

    Open Energy Info (EERE)

    density for Cuba. (Purpose):HTMLREMOVEDHTMLREMOVEDTo provide information on the wind resource potential in Cuba. Data and Resources Download MapsZIP Download Maps More...

  3. Break-even investment in a wind-energy-conversion system for an irrigated farm on the Texas High Plains

    SciTech Connect (OSTI)

    Hardin, D.C.

    1981-01-01T23:59:59.000Z

    The purpose of this study was to quantify the benefits of using a wind energy system for irrigation. The value of wind energy was estimated on both a static basis (where the annual value of wind power was assumed to be constant over the life of the machine) and on a temporal basis (where the annual value of wind power was estimated recursively). The model for static analysis contained two components which applied consecutively. The first was a linear programming (LP) model for the High Plains region. Production activities were included that allowed both optimal and non-optimal timing of post-plant irrigations, giving the producer added flexibility in the employment of limiting water resources. For the temporal analysis, a FORTRAN subroutine was added to the LP model to operate the model recursively over the life of the wind system and to account for the annual decline of the aquifer. Both fixed and variable costs were included. Two wind machines were analyzed, with rated outputs of 40 and 60 kilowatts (kW). Each was applied to the Northern and Southern Texas High Plains over a range of land and water resources situations. Break-even investiment was estimated at discount rates of 3, 5, and 10%. Results indicate that, at least in the future when wind-system costs decrease and stabilize, wind-assisted irrigation could be an economically viable alternative for Texas High Plains producers.

  4. Northerly surface wind events over the eastern North Pacific Ocean : spatial distribution, seasonality, atmospheric circulation, and forcing

    E-Print Network [OSTI]

    Taylor, Stephen V.

    2006-01-01T23:59:59.000Z

    D. (2005), California Wind Resources, CEC publication # CEC-level inversions with surface wind and temperature at PointD. W. Stuart (1986), Mesoscale wind variability near Point

  5. Methods and apparatus for reducing peak wind turbine loads

    DOE Patents [OSTI]

    Moroz, Emilian Mieczyslaw

    2007-02-13T23:59:59.000Z

    A method for reducing peak loads of wind turbines in a changing wind environment includes measuring or estimating an instantaneous wind speed and direction at the wind turbine and determining a yaw error of the wind turbine relative to the measured instantaneous wind direction. The method further includes comparing the yaw error to a yaw error trigger that has different values at different wind speeds and shutting down the wind turbine when the yaw error exceeds the yaw error trigger corresponding to the measured or estimated instantaneous wind speed.

  6. Fully coupled dynamic analysis of a floating wind turbine system

    E-Print Network [OSTI]

    Withee, Jon E

    2004-01-01T23:59:59.000Z

    The use of wind power is in a period of rapid growth worldwide and wind energy systems have emerged as a promising technology for utilizing offshore wind resources for the large scale generation of electricity. Drawing ...

  7. Advanced Coal Wind Hybrid: Economic Analysis

    E-Print Network [OSTI]

    Phadke, Amol

    2008-01-01T23:59:59.000Z

    2008) find estimates of capital cost of wind projectsHowever, our estimates of costs (e.g. , capital costs) ofin capital costs. 26 Heat Rate Heat rate estimates for the

  8. Commonwealth Wind Commercial Wind Program

    Broader source: Energy.gov [DOE]

    Through the Commonwealth Wind Incentive Program – Commercial Wind Initiative the Massachusetts Clean Energy Center (MassCEC) offers site assessment grants of services, feasibility study grants, a...

  9. Modeling, Analysis, and Control of Demand Response Resources

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2013-01-01T23:59:59.000Z

    balancing, especially important in power systems with high penetrations of intermittent renewable resources like wind

  10. Modeling, Analysis, and Control of Demand Response Resources

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2012-01-01T23:59:59.000Z

    balancing, especially important in power systems with high penetrations of intermittent renewable resources like wind

  11. Airborne Wind Turbine

    SciTech Connect (OSTI)

    None

    2010-09-01T23:59:59.000Z

    Broad Funding Opportunity Announcement Project: Makani Power is developing an Airborne Wind Turbine (AWT) that eliminates 90% of the mass of a conventional wind turbine and accesses a stronger, more consistent wind at altitudes of near 1,000 feet. At these altitudes, 85% of the country can offer viable wind resources compared to only 15% accessible with current technology. Additionally, the Makani Power wing can be economically deployed in deep offshore waters, opening up a resource which is 4 times greater than the entire U.S. electrical generation capacity. Makani Power has demonstrated the core technology, including autonomous launch, land, and power generation with an 8 meter wingspan, 20 kW prototype. At commercial scale, Makani Power aims to develop a 600 kW, 28 meter wingspan product capable of delivering energy at an unsubsidized cost competitive with coal, the current benchmark for low-cost power.

  12. Wind Generation Feasibility Study in Bethel, AK

    SciTech Connect (OSTI)

    Tom Humphrey, YKHC; Lance Kincaid, EMCOR Energy & Technologies

    2004-07-31T23:59:59.000Z

    This report studies the wind resources in the Yukon-Kuskokwim Health Corporation (YKHC) region, located in southwestern Alaska, and the applicability of wind generation technologies to YKHC facilities.

  13. Nebraska Statewide Wind Integration Study: Executive Summary

    SciTech Connect (OSTI)

    EnerNex Corporation, Knoxville, Tennessee; Ventyx, Atlanta, Georgia; Nebraska Power Association, Lincoln, Nebraska

    2010-03-01T23:59:59.000Z

    Wind generation resources in Nebraska will play an increasingly important role in the environmental and energy security solutions for the state and the nation. In this context, the Nebraska Power Association conducted a state-wide wind integration study.

  14. Lower Sioux Wind Feasibility & Development

    SciTech Connect (OSTI)

    Minkel, Darin

    2012-04-01T23:59:59.000Z

    This report describes the process and findings of a Wind Energy Feasibility Study (Study) conducted by the Lower Sioux Indian Community (Community). The Community is evaluating the development of a wind energy project located on tribal land. The project scope was to analyze the critical issues in determining advantages and disadvantages of wind development within the Community. This analysis addresses both of the Community's wind energy development objectives: the single turbine project and the Commerical-scale multiple turbine project. The main tasks of the feasibility study are: land use and contraint analysis; wind resource evaluation; utility interconnection analysis; and project structure and economics.

  15. ISSN 1745-9648 Storing Wind for a Rainy Day

    E-Print Network [OSTI]

    Feigon, Brooke

    generators, with no correlation with wind generation. We estimate the cost of volatility in Denmark's wind generation. We estimate the cost of volatility in Denmark's wind output to equal between 4% and 8% of itsISSN 1745-9648 Storing Wind for a Rainy Day What kind of electricity does Denmark export? Richard

  16. Wind | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed off Energy.gov. Are you sureReportsofDepartmentSeries |Attacksof EnergyWhenWindWind ResearchWind

  17. Wind Powering America Initiative (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-01-01T23:59:59.000Z

    The U.S. Department of Energy's Wind Powering America initiative engages in technology market acceptance, barrier reduction, and technology deployment support activities. This fact sheet outlines ways in which the Wind Powering America team works to reduce barriers to appropriate wind energy deployment, primarily by focusing on six program areas: workforce development, communications and outreach, stakeholder analysis and resource assessment, wind technology technical support, wind power for Native Americans, and federal sector support and collaboration.

  18. Soil Quality Information Sheet Rangeland Soil Quality--Wind Erosion

    E-Print Network [OSTI]

    and to be blown away. A cover of plants disrupts the force of the wind. Soils are more susceptible to wind erosionSoil Quality Information Sheet Rangeland Soil Quality--Wind Erosion USDA, Natural Resources Conservation Service May 2001 Rangeland Sheet 10 What is wind erosion? Wind erosion is the physical wearing

  19. WIND ENERGY Wind Energ. (2014)

    E-Print Network [OSTI]

    2014-01-01T23:59:59.000Z

    in the near wake. In conclusion, WiTTS performs satisfactorily in the rotor region of wind turbine wakes under neutral stability. Copyright © 2014 John Wiley & Sons, Ltd. KEYWORDS wind turbine wake; wake model; self in wind farms along several rows and columns. Because wind turbines generate wakes that propagate downwind

  20. Ex post analysis of economic impacts from wind power development in U.S. counties

    E-Print Network [OSTI]

    Brown, Jason P

    2014-01-01T23:59:59.000Z

    2011) Figure 1. Location of Wind Power Development in theUnited States Figure 2: U.S. Wind Resource Map (Source:Resource Potential for Wind Capacity (Power Class 3-7, MW)