National Library of Energy BETA

Sample records for resource wind speed

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

    Wind Powering America (EERE)

    30 m 21-FEB-2012 2.1.1 Wind Speed m/s >10.5 10.0 9.5 9.0 8.5 8.0 7.5 7.0 6.5 6.0 5.5 5.0 4.5 4.0 < 4.0 Source: Wind resource estimates developed by AWS Truepower, LLC. Web: http://www.awstruepower.com. Map developed by NREL. Spatial resolution of wind resource data: 2.0 km. Projection: Albers Equal Area WGS84. The average wind speeds indicated on this map are model-derived estimates that may not represent the true wind resource at any given location. Small terrain features, vegetation,

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

    Wind Powering America (EERE)

    80 m 01-APR-2011 2.1.1 Wind Speed m/s >10.5 10.0 9.5 9.0 8.5 8.0 7.5 7.0 6.5 6.0 5.5 5.0 4.5 4.0 < 4.0 Source: Wind resource estimates developed by AWS Truepower, LLC for windNavigator . Web: http://www.windnavigator.com | http://www.awstruepower.com. Spatial resolution of wind resource data: 2.5 km. Projection: Albers Equal Area WGS84. ¶

  3. NREL: Wind Research - Offshore Wind Resource Characterization

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

    Wind Resource Characterization Map of the United States, showing the wind potential of offshore areas across the country. Enlarge image US offshore wind speed estimates at 90-m height NREL scientists and engineers are leading efforts in resource mapping, remote sensor measurement and development, and forecasting that are essential for the development of offshore wind. Resource Mapping For more than 15 years, NREL's meteorologists, engineers, and Geographic Information System experts have led the

  4. False Pass Wind Resource Report

    Energy Savers [EERE]

    False Pass Wind Resource Report False Pass meteorological tower, view to the east, D. Vaught photo January 27, 2012 Douglas Vaught, P.E. V3 Energy, LLC Eagle River, Alaska D r a f t 1 False Pass Wind Resource Report P a g e | 2 Summary The wind resource as the False Pass met tower site is generally good with measured wind power class 4 by measurement of wind power density (Class 3 if considering only mean annual wind speed). Given the moderately cool temperatures of False Pass test site, air

  5. Wind Resource Assessment of Gujarat (India)

    SciTech Connect (OSTI)

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

    2014-07-01

    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.

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

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

    ... Hawaii, Alaska, and U.S. territories are handled separately. 3) Gulf of Mexico ... Wind Resource Estimates Annual average wind speeds are closely related to the available ...

  7. Wind Resource Assessment and Characterization | Department of Energy

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

    Research & Development » Wind Resource Assessment and Characterization Wind Resource Assessment and Characterization A crucial factor in the development, siting, and operation of a wind farm is the ability to assess and characterize available wind resources. The Wind Program supports efforts to accurately define, measure, and forecast the nation's land-based and offshore wind resources. More accurate prediction and measurement of wind speed and direction allow wind farms to supply clean,

  8. NREL: Wind Research - Wind Resource Assessment

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

    Wind Resource Assessment A map of the United States is color-coded to indicate the high winds at 80 meters. This map shows the wind resource at 80 meters for both land-based and...

  9. United States- Land Based and Offshore Annual Average Wind Speed at 100 Meters

    Broader source: Energy.gov [DOE]

    Full-size, high resolution version of the 100-meter land-based and offshore wind speed resource map.

  10. NREL: Wind Research - International Wind Resource Maps

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

    International Wind Resource Maps NREL is helping to develop high-resolution projections of wind resources worldwide. This allows for more accurate siting of wind turbines and has led to the recognition of higher class winds in areas where none were thought to exist. This page provides access to NREL-developed wind resource maps and atlases for several countries. NREL's wind mapping projects have been supported by the U.S. Department of Energy, U.S. Agency for International Development, and

  11. Wind Career Map: Resource List

    Broader source: Energy.gov [DOE]

    The following resources were used in the development of the Wind Career Map, associated job profile information, or are potential resources for interested Wind Career Map viewers.

  12. SWERA/Wind Resource Information | Open Energy Information

    Open Energy Info (EERE)

    wind resources are depicted as average wind speed (meters per second) or wind power density (watts per square meter) at a specified height above the ground (nominally 50 m)....

  13. Nikolski, Alaska, Wind Resource Report

    Energy Savers [EERE]

    Nikolski, Alaska Wind Resource Report Report written by: Douglas Vaught, P.E., V3 Energy LLC, Eagle River, AK Date of report: March 27, 2007 Photo by Mia Devine, Alaska Energy Authority V3 Energy LLC 1 of 30 Nikolski, Alaska Wind Resource Report Summary Information Nikolski has superb potential for wind power development with Class 7 wind power density, moderate wind shear, bi-directional winds and low turbulence. Meteorological Tower Data Synopsis Wind power class (measured to date) Class 7 -

  14. Fort Carson Wind Resource Assessment

    SciTech Connect (OSTI)

    Robichaud, R.

    2012-10-01

    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.

  15. Kansas/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Kansas Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  16. Idaho/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Idaho Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  17. Nevada/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Nevada Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  18. Iowa/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Iowa Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  19. Maine/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Maine Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  20. Hawaii/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Hawaii Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  1. Oregon/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Oregon Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  2. Alaska/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Wind Guidebook >> Alaska Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  3. Community Wind Handbook/Conduct a Wind Resource Estimate | Open...

    Open Energy Info (EERE)

    "Windustry. Wind Resource Assessment" "AWS Scientific for the National Renewable Energy Laboratory. Wind Resource Assessment Handbook" Retrieved from "http:...

  4. TMCC WIND RESOURCE ASSESSMENT

    SciTech Connect (OSTI)

    Turtle Mountain Community College

    2003-12-30

    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.

  5. NREL: Wind Research - Site Wind Resource Characteristics

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

    Site Wind Resource Characteristics A graphic showing the location of National Wind Technology Center and its wind power class 2. Click on the image to view a larger version. Enlarge image This graphic shows the wind power class at the National Wind Technology Center. You can download a printable copy. The National Wind Technology Center (NWTC) is on the Great Plains just miles from the Rocky Mountains. The site is flat and covered with short grasses. The terrain and lack of obstructions make the

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

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

    Printable Version RReDC Home Biomass Resource Information Geothermal Resource Information Solar Resource Information Wind Resource Information Wind Data Models & Tools Publications...

  7. Georgia/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Georgia Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  8. Minnesota/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Minnesota Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  9. Delaware/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Delaware Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  10. Maryland/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Maryland Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  11. Indiana/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Indiana Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  12. Nebraska/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Nebraska Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  13. Oklahoma/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Oklahoma Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  14. Connecticut/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Connecticut Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  15. Virginia/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Virginia Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  16. Missouri/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Missouri Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  17. Louisiana/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Louisiana Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  18. Wyoming/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Wyoming Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  19. Tennessee/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Tennessee Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  20. Pennsylvania/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    >> Pennsylvania Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  1. Washington/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Washington Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  2. Colorado/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Colorado Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  3. Arkansas/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Arkansas Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  4. California/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> California Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  5. Massachusetts/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    >> Massachusetts Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  6. Alabama/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Alabama Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  7. Mississippi/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Mississippi Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  8. Michigan/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Michigan Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  9. Florida/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Florida Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  10. Vermont/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Vermont Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  11. Kentucky/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> Kentucky Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  12. Texas/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    TexasWind Resources < Texas Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook OpenEI Home >> Wind >> Small...

  13. Utah/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    UtahWind Resources < Utah Jump to: navigation, search Print PDF Print Full Version WIND ENERGY STAKEHOLDER ENGAGEMENT & OUTREACHSmall Wind Guidebook OpenEI Home >> Wind >>...

  14. LIDAR Wind Speed Measurements of Evolving Wind Fields

    SciTech Connect (OSTI)

    Simley, E.; Pao, L. Y.

    2012-07-01

    Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feedforward control systems designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. Past studies have assumed Taylor's frozen turbulence hypothesis, which implies that turbulence remains unchanged as it advects downwind at the mean wind speed. With Taylor's hypothesis applied, the only source of wind speed measurement error is distortion caused by the LIDAR. This study introduces wind evolution, characterized by the longitudinal coherence of the wind, to LIDAR measurement simulations to create a more realistic measurement model. A simple model of wind evolution is applied to a frozen wind field used in previous studies to investigate the effects of varying the intensity of wind evolution. LIDAR measurements are also evaluated with a large eddy simulation of a stable boundary layer provided by the National Center for Atmospheric Research. Simulation results show the combined effects of LIDAR errors and wind evolution for realistic turbine-mounted LIDAR measurement scenarios.

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

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

    Offshore 90-Meter Wind Maps and Wind Resource Potential The U.S. Department of Energy provides 90-meter (m) height, high-resolution wind maps and estimates of the total offshore wind potential that would be possible from developing the available offshore areas. The offshore wind resource maps can be used as a guide to identify regions for commercial wind development. A map of the United States showing offshore wind resource. Washington offshore wind map. Oregon offshore wind map. California

  16. Wind Energy Resource Atlas of the Philippines

    SciTech Connect (OSTI)

    Elliott, D.; Schwartz, M.; George, R.; Haymes, S.; Heimiller, D.; Scott, G.; McCarthy, E.

    2001-03-06

    This report contains the results of a wind resource analysis and mapping study for the Philippine archipelago. The study's objective was to identify potential wind resource areas and quantify the value of those resources within those areas. The wind resource maps and other wind resource characteristic information will be used to identify prospective areas for wind-energy applications.

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

    Open Energy Info (EERE)

    Distributed Wind Energy Association Arkansas Wind Resources Arkansas Energy Office: Wind AWEA State Wind Energy Statistics: Arkansas Southeastern Wind Coalition...

  18. AWEA Wind Resource & Project Energy Assessment

    Broader source: Energy.gov [DOE]

    Join the wind industry's leading owners, project developers, and wind assessors as they share latest challenges facing the wind resource assessment community. During this technical event you will...

  19. Wind Energy Resource Atlas of Armenia

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

    G. Scott, S. Haymes, D. Heimiller, R. George National Renewable Energy Laboratory Wind Energy Resource Atlas of Armenia July 2003 * NRELTP-500-33544 Wind Energy Resource...

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

    SciTech Connect (OSTI)

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

    1987-04-01

    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.

  1. 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.

    1981-02-01

    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.

  2. 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.

    1981-03-01

    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.

  3. Philippines Wind Energy Resource Atlas Development

    SciTech Connect (OSTI)

    Elliott, D.

    2000-11-29

    This paper describes the creation of a comprehensive wind energy resource atlas for the Philippines. The atlas was created to facilitate the rapid identification of good wind resource areas and understanding of the salient wind characteristics. Detailed wind resource maps were generated for the entire country using an advanced wind mapping technique and innovative assessment methods recently developed at the National Renewable Energy Laboratory.

  4. Wind Integration, Transmission, and Resource Assessment and

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

    Characterization Projects | Department of Energy Integration, Transmission, and Resource Assessment and Characterization Projects Wind Integration, Transmission, and Resource Assessment and Characterization Projects This report covers the Wind and Water Power Technologies Office's Wind integration, transmission, and resource assessment and characterization projects from fiscal years 2006 to 2014. PDF icon Wind Integration, Transmission, and Resource Assessment and Characterization Projects

  5. Spatial and Temporal Patterns of Global Onshore Wind Speed Distributio...

    Office of Scientific and Technical Information (OSTI)

    Title: Spatial and Temporal Patterns of Global Onshore Wind Speed Distribution Wind power, a renewable energy source, can play an important role in electrical energy generation. ...

  6. NREL: Learning - Student Resources on Wind Energy

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

    Wind Energy Photo of a girl and a boy standing beneath a large wind turbine. Students can learn about wind energy by visiting a wind farm. The following resources can provide you with more information on wind energy. NREL National Wind Technology Center Wind Energy Basics U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy Small Wind Electric Systems U.S. Department of Energy's Energy Savers Program American Wind Energy Association NREL Wind Research: Publications

  7. Wind Energy Resource Basics | Department of Energy

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

    Energy Resource Basics Wind Energy Resource Basics July 30, 2013 - 3:11pm Addthis Wind energy can be produced anywhere in the world where the wind blows with a strong and consistent force. Windier locations produce more energy, which lowers the cost of producing electricity. Moderate to excellent wind resources are found in most regions of the United States and off the nation's coasts in many areas. Wind resource maps available through the Wind Program can help individuals, communities, and

  8. File:CV WindSpeed.pdf | Open Energy Information

    Open Energy Info (EERE)

    CV WindSpeed.pdf Jump to: navigation, search File File history File usage Cape Verde-Map Summarizing Average Wind Speed (ms) Size of this preview: 776 600 pixels. Full...

  9. Spatial and Temporal Patterns of Global Onshore Wind Speed Distribution

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect Spatial and Temporal Patterns of Global Onshore Wind Speed Distribution Citation Details In-Document Search Title: Spatial and Temporal Patterns of Global Onshore Wind Speed Distribution Wind power, a renewable energy source, can play an important role in electrical energy generation. Information regarding wind energy potential is important both for energy related modeling and for decision-making in the policy community. While wind speed datasets with high

  10. Afghanistan Pakistan High Resolution Wind Resource - Datasets...

    Open Energy Info (EERE)

    Pakistan High Resolution Wind Resource This shapefile containing 50 meter height data has been validated by NREL and wind energy meteorological consultants. However, the data is...

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

    Open Energy Info (EERE)

    Energy Association Nevada Wind Resources NV Energy Wind Projects Nevada Governor's Office of Energy AWEA State Wind Energy Statistics: Nevada Four Corners Wind Resource Center...

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

    Open Energy Info (EERE)

    Wind Working Group Boise State University Wind for Schools Program Idaho Governor's Office of Energy resources AWEA State Wind Energy Statistics: Idaho Northwest Wind Resource...

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

    SciTech Connect (OSTI)

    Robichaud, R.

    2014-09-01

    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.

  14. Category:State Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    State Wind Resources Jump to: navigation, search Category containing State Wind Resources Pages in category "State Wind Resources" The following 100 pages are in this category, out...

  15. WINDExchange: Wind Energy Regional Resource Centers

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

    Deployment Activities Printable Version Bookmark and Share Regional Resource Centers About Economic Development Siting Wind Energy Regional Resource Centers The U.S. Department of Energy's Regional Resource Centers provide unbiased wind energy information to communities and decision makers to help them evaluate wind energy potential and learn about wind power's benefits and impacts in their regions. During their first year of operations, the Regional Resource Centers impacted more than 12,000

  16. ARM - Lesson Plans: Observing Wind Speed and Cloudiness

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

    Observing Wind Speed and Cloudiness Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Lesson Plans: Observing Wind Speed and Cloudiness Objective The objective is to demonstrate students' skills in observing the atmosphere, specifically in terms of wind speed and cloudiness. Materials Each

  17. Effectiveness of Changing Wind Turbine Cut-in Speed to Reduce Bat Fatalities at Wind Facilities

    SciTech Connect (OSTI)

    Huso, Manuela M. P.; Hayes, John P.

    2009-04-01

    This report details an experiment on the effectiveness of changing wind turbine cut-in speed on reducing bat fatality from wind turbines at the Casselman Wind Project in Somerset County, Pennsylvania.

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

    Open Energy Info (EERE)

    * Engage with Neighbors * Conduct a Wind Resource Estimate * Research Interconnecting behind Your Meter * Research Project Economics & Financing * Select the Final Design &...

  19. Wind Resource Atlas of Oaxaca | Open Energy Information

    Open Energy Info (EERE)

    characteristics and distribution of wind resources in Oaxaca, Mexico, at a wind power density of 50 meters above ground. The detailed wind resource maps contained in the atlas...

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

    Open Energy Info (EERE)

    Distributed Wind Energy Association Hawaii Wind Resources Hawaii State Energy Office AWEA State Wind Energy Statistics: Hawaii Islanded Grid Resource Center References ...

  1. North Carolina/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    >> North Carolina Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  2. South Dakota/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    >> South Dakota Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  3. New York/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> New York Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  4. North Dakota/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    >> North Dakota Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  5. Rhode Island/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    >> Rhode Island Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  6. New Jersey/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Guidebook >> New Jersey Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  7. South Carolina/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    >> South Carolina Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  8. West Virginia/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    >> West Virginia Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

  9. New Hampshire/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    >> New Hampshire Wind Resources WindTurbine-icon.png Small Wind Guidebook * Introduction * First, How Can I Make My Home More Energy Efficient? * Is Wind Energy Practical...

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

    Open Energy Info (EERE)

    info@distributedwind.org Distributed Wind Energy Association Utah Wind Resources Utah Office of Energy Development: Wind Energy Information AWEA State Wind Energy Statistics: Utah...

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

    Open Energy Info (EERE)

    Distributed Wind Energy Association Indiana Wind Resources Indiana Office of Energy Development Purdue Extension: Wind Energy AWEA State Wind Energy Statistics:...

  12. Calwind Resources Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Status In Service Developer CalWind Resources Energy Purchaser Southern California Edison Co Location Tehachapi CA Coordinates 35.07665, -118.25529 Show Map Loading map......

  13. 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 ...

  14. Solar and Wind Energy Resource Assessment (SWERA)

    Open Energy Info (EERE)

    Wiki Page Solar and Wind Energy Resource Assessment A United Nations Environment Programme facilitated effort. Getting Started Data Sets Analysis Tools About SWERA Loading.....

  15. Wind Resource Assessment | Open Energy Information

    Open Energy Info (EERE)

    Databases Global Renewable Energy Database Power Technologies Energy Data Book Solar and Wind Energy Resource Assessment (SWERA) System Advisor Model (SAM) Transparent Cost...

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

    Open Energy Info (EERE)

    Shenyang 50m Wind Power China Tianjin 50m Wind Power China Yinchuan 50m Wind Power East China Map Reference Eastern Visayas Philippines Wind Speed 100m-01 NREL-30m-US-Wind...

  17. WINDExchange: Wind Economic Development Resources and Tools

    Wind Powering America (EERE)

    Development Resources and Tools This page lists wind-related economic development resources and tools such as publications, Web resources, and news. Search the WINDExchange Database Choose a Type of Information All News Publications Web Resource Videos Start Search Clear Search Date State Type of Information Program Area Title 11/10/2015 News Tool Econ. Dev. Job and Economic Development Impact (JEDI) Model 10/6/2015 OK Publication Econ. Dev. New Report Outlines Wind Industry Impacts in Oklahoma

  18. AWEA Wind Resource & Project Energy Assessment Conference

    Broader source: Energy.gov [DOE]

    Join the wind industry's leading owners, project developers, and wind assessors as they share latest challenges facing the wind resource assessment community. During this technical event you will explore the industry's needs, focus on state-of-the-art techniques and technologies, and provide critical insight into key matters by which we make our energy predictions.

  19. Dominican Republic - Annual Average Wind Speed at 80 meters

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

    Monte Plata Bonao Elias Pina El Seibo Hato Mayor Higuey Santo Domingo La Romana San Pedro Jimani San Cristobal Azua Neiba Bani Barahona Pedernales Wind Speed ms >10.5 10.0 9.5...

  20. 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.

    2012-10-01

    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.

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

    Open Energy Info (EERE)

    Distributed Wind Energy Association Colorado Wind Resources Colorado Energy Office AWEA State Wind Energy Statistics: Colorado Colorado Center for Renewable Energy...

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

    Open Energy Info (EERE)

    Distributed Wind Energy Association Nebraska Wind Resources Nebraska Energy Office AWEA State Wind Energy Statistics: Nebraska References "U.S. Census Bureau. 2010...

  3. Characterizing wind power resource reliability in southern Africa...

    Office of Scientific and Technical Information (OSTI)

    DOE PAGES Search Results Published Article: Characterizing wind power resource reliability in southern Africa Title: Characterizing wind power resource reliability in southern...

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

    Energy Savers [EERE]

    and Resource Assessment and Characterization Projects This report covers the Wind and Water Power Technologies Office's Wind integration, transmission, and resource assessment...

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

    Open Energy Info (EERE)

    Resources Wind Power Development Co Ltd Hua Run Jump to: navigation, search Name: China Resources Wind Power Development Co Ltd (Hua Run) Place: Shantou, Guangdong Province, China...

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

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

    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 ...

  7. NREL: Wind Research - Data and Resources

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

    Data and Resources Small wind turbine in a field at sunset with three buffalo in the foreground. Photo by Northwest Seed For more than 35 years, NREL researchers have spent...

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

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

    Downscaling with Doppler Lidar Wind Measurements | Department of Energy Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements 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

  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.

    1981-03-01

    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. Could crop height affect the wind resource at agriculturally productive wind farm sites?

    SciTech Connect (OSTI)

    Vanderwende, Brian; Lundquist, Julie K.

    2015-11-07

    The collocation of cropland and wind turbines in the US Midwest region introduces complex meteorological interactions that could influence both agriculture and wind-power production. Crop management practices may affect the wind resource through alterations of land-surface properties. We use the weather research and forecasting (WRF) model to estimate the impact of crop height variations on the wind resource in the presence of a large turbine array. A hypothetical wind farm consisting of 121 1.8-MW turbines is represented using the WRF model wind-farm parametrization. We represent the impact of selecting soybeans rather than maize by altering the aerodynamic roughness length in a region approximately 65 times larger than that occupied by the turbine array. Roughness lengths of 0.1 and 0.25 m represent the mature soy crop and a mature maize crop, respectively. In all but the most stable atmospheric conditions, statistically significant hub-height wind-speed increases and rotor-layer wind-shear reductions result from switching from maize to soybeans. Based on simulations for the entire month of August 2013, wind-farm energy output increases by 14 %, which would yield a significant monetary gain. Further investigation is required to determine the optimal size, shape, and crop height of the roughness modification to maximize the economic benefit and minimize the cost of such crop-management practices. As a result, these considerations must be balanced by other influences on crop choice such as soil requirements and commodity prices.

  11. NWTC Helps Chart the World's Wind Resource Potential

    SciTech Connect (OSTI)

    2015-09-01

    Researchers at the National Renewable Energy Laboratory's (NREL's) National Wind Technology Center (NWTC) provide the wind industry, policymakers, and other stakeholders with applied wind resource data, information, maps, and technical assistance. These tools, which emphasize wind resources at ever-increasing heights, help stakeholders evaluate the wind resource and development potential for a specific area.

  12. Anemometer Data (Wind Speed, Direction) for Pascua Yaqui, AZ...

    Open Energy Info (EERE)

    from a height of 20 m. The data was originally made available by Wind Powering America, a DOE Office of Energy Efficiency & Renewable Energy (EERE) program. Data and Resources...

  13. Haiti - Annual Average Wind Speed at 80 meters

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

    Liberte Hinche 06-JAN-2014 3.5.1 50 0 Port-au-Prince Jacmel Les Cayes Jeremie 50 100 Kilometers DOMINI REPUBL CAN IC The wind resource estimates on this map are from model...

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

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

    A map depicting wind resources at 100 meters of the republic of the Philippines. Additional Resources Wind Prospector A web-based GIS applications designed to support resource assessment and data exploration associated with wind development. Philippines Wind Viewer Tutorial Learn how to navigate, display, query and download Philippines data in the Wind Prospector. Philippines Geospatial Toolkit EXE 926.5 MB Philippines Wind Resource Maps and Data In 2014, under the Enhancing Capacity for Low

  15. NANA Wind Resource Assessment Program Final Report

    SciTech Connect (OSTI)

    Jay Hermanson

    2010-09-23

    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.

  16. ARE660 Wind Generator: Low Wind Speed Technology for Small Turbine Development

    SciTech Connect (OSTI)

    Robert W. Preus; DOE Project Officer - Keith Bennett

    2008-04-23

    This project is for the design of a wind turbine that can generate most or all of the net energy required for homes and small businesses in moderately windy areas. The purpose is to expand the current market for residential wind generators by providing cost effective power in a lower wind regime than current technology has made available, as well as reduce noise and improve reliability and safety. Robert W. Preus experience designing and/or maintaining residential wind generators of many configurations helped identify the need for an improved experience of safety for the consumer. Current small wind products have unreliable or no method of stopping the wind generator in fault or high wind conditions. Consumers and their neighbors do not want to hear their wind generators. In addition, with current technology, only sites with unusually high wind speeds provide payback times that are acceptable for the on-grid user. Abundant Renewable Energys (ARE) basic original concept for the ARE660 was a combination of a stall controlled variable speed small wind generator and automatic fail safe furling for shutdown. The stall control for a small wind generator is not novel, but has not been developed for a variable speed application with a permanent magnet alternator (PMA). The fail safe furling approach for shutdown has not been used to our knowledge.

  17. 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.

    1980-12-01

    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.

  18. 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.

    1980-11-01

    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.

  19. Wind resource assessment: San Nicolas Island, California

    SciTech Connect (OSTI)

    McKenna, E.; Olsen, T.L.

    1996-01-01

    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).

  20. NREL GIS Data: Bhutan High Resolution Wind Resource - Datasets...

    Open Energy Info (EERE)

    NREL GIS Data: Bhutan High Resolution Wind Resource This shapefile containing 50 meter height data has been validated by NREL and wind energy meteorological consultants. However,...

  1. Hi-Q Rotor - Low Wind Speed Technology

    SciTech Connect (OSTI)

    Todd E. Mills; Judy Tatum

    2010-01-11

    The project objective was to optimize the performance of the Hi-Q Rotor. Early research funded by the California Energy Commission indicated the design might be advantageous over state-of-the-art turbines for collecting wind energy in low wind conditions. The Hi-Q Rotor is a new kind of rotor targeted for harvesting wind in Class 2, 3, and 4 sites, and has application in areas that are closer to cities, or 'load centers.' An advantage of the Hi-Q Rotor is that the rotor has non-conventional blade tips, producing less turbulence, and is quieter than standard wind turbine blades which is critical to the low-wind populated urban sites. Unlike state-of-the-art propeller type blades, the Hi-Q Rotor has six blades connected by end caps. In this phase of the research funded by DOE's Inventions and Innovation Program, the goal was to improve the current design by building a series of theoretical and numeric models, and composite prototypes to determine a best of class device. Development of the rotor was performed by aeronautical engineering and design firm, DARcorporation. From this investigation, an optimized design was determined and an 8-foot diameter, full-scale rotor was built and mounted using a Bergey LX-1 generator and furling system which were adapted to support the rotor. The Hi-Q Rotor was then tested side-by-side against the state-of-the-art Bergey XL-1 at the Alternative Energy Institute's Wind Test Center at West Texas State University for six weeks, and real time measurements of power generated were collected and compared. Early wind tunnel testing showed that the cut-in-speed of the Hi-Q rotor is much lower than a conventional tested HAWT enabling the Hi-Q Wind Turbine to begin collecting energy before a conventional HAWT has started spinning. Also, torque at low wind speeds for the Hi-Q Wind Turbine is higher than the tested conventional HAWT and enabled the wind turbine to generate power at lower wind speeds. Based on the data collected, the results of our first full-scale prototype wind turbine proved that higher energy can be captured at lower wind speeds with the new Hi-Q Rotor. The Hi-Q Rotor is almost 15% more productive than the Bergey from 6 m/s to 8 m/s, making it ideal in Class 3, 4, and 5 wind sites and has application in the critical and heretofore untapped areas that are closer to cities, 'load centers,' and may even be used directly in urban areas. The additional advantage of the Hi-Q Rotor's non-conventional blade tips, which eliminates most air turbulence, is noise reduction which makes it doubly ideal for populated urban areas. Hi-Q Products recommends one final stage of development to take the Hi-Q Rotor through Technology Readiness Levels 8-9. During this stage of development, the rotor will be redesigned to further increase efficiency, match the rotor to a more suitable generator, and lower the cost of manufacturing by redesigning the structure to allow for production in larger quantities at lower cost. Before taking the rotor to market and commercialization, it is necessary to further optimize the performance by finding a better generator and autofurling system, ones more suitable for lower wind speeds and rpms should be used in all future testing. The potential impact of this fully developed technology will be the expansion and proliferation of energy renewal into the heretofore untapped Class 2, 3, 4, and 5 Wind Sites, or the large underutilized sites where the wind speed is broken by physical features such as mountains, buildings, and trees. Market estimates by 2011, if low wind speed technology can be developed are well above: 13 million homes, 675,000 commercial buildings, 250,000 public facilities. Estimated commercial exploitation of the Hi-Q Rotor show potential increase in U.S. energy gained through the clean, renewable wind energy found in low and very low wind speed sites. This new energy source would greatly impact greenhouse emissions as well as the public sector's growing energy demands.

  2. Could crop height affect the wind resource at agriculturally productive wind farm sites?

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

    Vanderwende, Brian; Lundquist, Julie K.

    2015-11-07

    The collocation of cropland and wind turbines in the US Midwest region introduces complex meteorological interactions that could influence both agriculture and wind-power production. Crop management practices may affect the wind resource through alterations of land-surface properties. We use the weather research and forecasting (WRF) model to estimate the impact of crop height variations on the wind resource in the presence of a large turbine array. A hypothetical wind farm consisting of 121 1.8-MW turbines is represented using the WRF model wind-farm parametrization. We represent the impact of selecting soybeans rather than maize by altering the aerodynamic roughness length inmore » a region approximately 65 times larger than that occupied by the turbine array. Roughness lengths of 0.1 and 0.25 m represent the mature soy crop and a mature maize crop, respectively. In all but the most stable atmospheric conditions, statistically significant hub-height wind-speed increases and rotor-layer wind-shear reductions result from switching from maize to soybeans. Based on simulations for the entire month of August 2013, wind-farm energy output increases by 14 %, which would yield a significant monetary gain. Further investigation is required to determine the optimal size, shape, and crop height of the roughness modification to maximize the economic benefit and minimize the cost of such crop-management practices. As a result, these considerations must be balanced by other influences on crop choice such as soil requirements and commodity prices.« less

  3. File:QuikSCAT - Annual Wind Speed at 10 m.pdf | Open Energy Informatio...

    Open Energy Info (EERE)

    QuikSCAT - Annual Wind Speed at 10 m.pdf Jump to: navigation, search File File history File usage QuikSCAT - Annual Wind Speed at 10 m Size of this preview: 463 599 pixels....

  4. Wind Resource Assessment of St. George, Alaska

    Energy Savers [EERE]

    813 W. Northern Lights Blvd. Anchorage, AK 99503 Phone: 907-269-3000 Fax: 907-269-3044 www.aidea.org/wind.htm Wind Resource Assessment for ST GEORGE, ALASKA Site # 2401 Date last modified: 11/22/2005 Prepared by: Mia Devine St.George Met Tower (right) and unidentified tower (left) Latitude: 56˚ 35' 11.6" N (NAD27) 56˚ 35.193 Longitude: 169˚ 36' 52.7" W (NAD27) -169˚ 36.878 Elevation: 130 ft Tower Type: 30-meter NRG Tall Tower Monitor Start: Monitor End: 9/14/2004 In operation

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

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

    Releases New Land-BasedOffshore Wind Resource Map Energy Department Releases New Land-BasedOffshore Wind Resource Map May 1, 2012 - 2:23pm Addthis This is an excerpt from the ...

  6. AWEA Wind Resource & Project Energy Assessment Seminar 2014

    Broader source: Energy.gov [DOE]

    Wind resource assessment from the outside looking in: How are we doing, what are we delivering, and is it working?

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

    Open Energy Info (EERE)

    Massachusetts Wind Resources Massachusetts Clean Energy Center Massachusetts Office of Energy and Environmental Affairs University of Massachusetts Clean Energy Center:...

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

    Open Energy Info (EERE)

    URI: cleanenergysolutions.orgcontentsolar-and-wind-energy-resource-assess Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance The...

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

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

    Wind Technology Resource Center Launched New Wind Technology Resource Center Launched May 18, 2015 - 2:33pm Addthis The U.S. Department of Energy (DOE) recently announced the launch of its new, user-friendly online information resources portal, the Wind Technology Resource Center (WTRC). The WTRC provides a central repository for research reports, publications, data sets, and online tools developed by DOE's national laboratories and facilities. These information resources detail

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

    Office of Environmental Management (EM)

    and Lower Costs | Department of Energy to Access Higher Quality Wind Resources and Lower Costs Energy Department Announces Funding to Access Higher Quality Wind Resources and Lower Costs January 30, 2014 - 1:06pm Addthis The Energy Department today announced $2 million to help efficiently harness wind energy using taller towers. These projects will help strengthen U.S. wind turbine component manufacturing, reduce the cost of clean and renewable wind energy, and expand the geographic range of

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

    SciTech Connect (OSTI)

    Baring-Gould, E. I.

    2013-08-01

    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.

  12. 2014 WIND POWER PROGRAM PEER REVIEW-RESOURCE CHARACTERIZATION

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

    Resource Characterizations March 24-27, 2014 Wind Energy Technologies PR-5000-62152 2 Contents Resource Characterization Inflow Characterization Tasks-Patrick Moriarty, National Renewable Energy Laboratory An integrated approach to offshore wind energy assessment: Great Lakes 3D Wind Experiment-R.J. Barthelmie, Indiana University Improving Atmospheric Models for Offshore Wind Resource Mapping and Prediction Using LIDAR, Aircraft, and In-Ocean Observations- Brian A. Colle, Stony Brook University

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

    Wind Powering America (EERE)

    % % % % % % % % % % % % % % % % % % % % % 19-JUN-2007 1.1.1 U.S. Department of Energy National Renewable Energy Laboratory Puerto Rico and U.S. Virgin Islands - 50 m Wind Power Mayaguez 20 0 20 40 60 80 100 Kilometers 20 0 20 40 60 Miles Ponce San Juan Charlotte Amalie Cruz Bay PUERTO RICO VIRGIN ISLANDS Wind Power Class 1 2 3 4 5 Resource Potential Poor Marginal Fair Good Excellent Wind Power Density at 50 m W/m 0 - 200 200 - 300 300 - 400 400 - 500 500 - 600 2 Wind Speed at 50 m m/s 0.0 - 5.9

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

    SciTech Connect (OSTI)

    Brower, M.

    2009-12-01

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

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

    SciTech Connect (OSTI)

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

    2012-08-31

    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.

  16. 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/

  17. Variable speed wind turbine generator with zero-sequence filter

    DOE Patents [OSTI]

    Muljadi, E.

    1998-08-25

    A variable speed wind turbine generator system to convert mechanical power into electrical power or energy and to recover the electrical power or energy in the form of three phase alternating current and return the power or energy to a utility or other load with single phase sinusoidal waveform at sixty (60) hertz and unity power factor includes an excitation controller for generating three phase commanded current, a generator, and a zero sequence filter. Each commanded current signal includes two components: a positive sequence variable frequency current signal to provide the balanced three phase excitation currents required in the stator windings of the generator to generate the rotating magnetic field needed to recover an optimum level of real power from the generator; and a zero frequency sixty (60) hertz current signal to allow the real power generated by the generator to be supplied to the utility. The positive sequence current signals are balanced three phase signals and are prevented from entering the utility by the zero sequence filter. The zero sequence current signals have zero phase displacement from each other and are prevented from entering the generator by the star connected stator windings. The zero sequence filter allows the zero sequence current signals to pass through to deliver power to the utility. 14 figs.

  18. Variable Speed Wind Turbine Generator with Zero-sequence Filter

    DOE Patents [OSTI]

    Muljadi, Eduard (Golden, CO)

    1998-08-25

    A variable speed wind turbine generator system to convert mechanical power into electrical power or energy and to recover the electrical power or energy in the form of three phase alternating current and return the power or energy to a utility or other load with single phase sinusoidal waveform at sixty (60) hertz and unity power factor includes an excitation controller for generating three phase commanded current, a generator, and a zero sequence filter. Each commanded current signal includes two components: a positive sequence variable frequency current signal to provide the balanced three phase excitation currents required in the stator windings of the generator to generate the rotating magnetic field needed to recover an optimum level of real power from the generator; and a zero frequency sixty (60) hertz current signal to allow the real power generated by the generator to be supplied to the utility. The positive sequence current signals are balanced three phase signals and are prevented from entering the utility by the zero sequence filter. The zero sequence current signals have zero phase displacement from each other and are prevented from entering the generator by the star connected stator windings. The zero sequence filter allows the zero sequence current signals to pass through to deliver power to the utility.

  19. Variable speed wind turbine generator with zero-sequence filter

    DOE Patents [OSTI]

    Muljadi, Eduard (Golden, CO)

    1998-01-01

    A variable speed wind turbine generator system to convert mechanical power into electrical power or energy and to recover the electrical power or energy in the form of three phase alternating current and return the power or energy to a utility or other load with single phase sinusoidal waveform at sixty (60) hertz and unity power factor includes an excitation controller for generating three phase commanded current, a generator, and a zero sequence filter. Each commanded current signal includes two components: a positive sequence variable frequency current signal to provide the balanced three phase excitation currents required in the stator windings of the generator to generate the rotating magnetic field needed to recover an optimum level of real power from the generator; and a zero frequency sixty (60) hertz current signal to allow the real power generated by the generator to be supplied to the utility. The positive sequence current signals are balanced three phase signals and are prevented from entering the utility by the zero sequence filter. The zero sequence current signals have zero phase displacement from each other and are prevented from entering the generator by the star connected stator windings. The zero sequence filter allows the zero sequence current signals to pass through to deliver power to the utility.

  20. 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.

    2014-03-01

    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.

  1. WINDExchange: Resources and Tools for Siting Wind Turbines

    Wind Powering America (EERE)

    Deployment Activities Printable Version Bookmark and Share Regional Resource Centers Economic Development Siting Resources & Tools Resources for Siting Wind Turbines This page lists information resources such as publications, websites, and news for siting wind turbines. Search the WINDExchange Database Choose a Type of Information All News Publications Web Resource Videos Start Search Clear Search Date State Type of Information Program Area Title 10/22/2015 Publication Siting Plains and

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

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

    Department of Energy Assessment of Offshore Wind Energy Resources for the United States Assessment of 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 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

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

    SciTech Connect (OSTI)

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

    1980-04-01

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

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

    Open Energy Info (EERE)

    Community Login | Sign Up Search Category Edit History Category:Wind for Schools Portal Other Resources Jump to: navigation, search This category currently contains no pages...

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

    Open Energy Info (EERE)

    NREL Wind Resource Assessments Jump to: navigation, search Logo: Mexico-NREL Initiatives Name Mexico-NREL Initiatives AgencyCompany Organization National Renewable Energy...

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

    Open Energy Info (EERE)

    Web Application Link: en.openei.orgappsSWERA OpenEI Keyword(s): Featured Language: English The Solar and Wind Energy Resource Assessment (SWERA) initiative brings together...

  7. Low Wind Speed Turbine Development Project Report: November 4, 2002 - December 31, 2006

    SciTech Connect (OSTI)

    Mikhail, A.

    2009-01-01

    This report summarizes work conducted by Clipper Windpower under the DOE Low Wind Speed Turbine project. The objective of this project was to produce a wind turbine that can lower the cost of energy.

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

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B. M.

    2014-04-01

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

  9. Low Wind Speed Turbine Developments in Convoloid Gearing: Final Technical Report, June 2005 - October 2008

    SciTech Connect (OSTI)

    Genesis Partners LP

    2010-08-01

    This report presents the results of a study conducted by Genesis Partners LP as part of the United States Department of Energy Wind Energy Research Program to develop wind technology that will enable wind systems to compete in regions having low wind speeds. The purpose of the program is to reduce the cost of electricity from large wind systems in areas having Class 4 winds to 3 cents per kWh for onshore systems or 5 cents per kWh for offshore systems. This work builds upon previous activities under the WindPACT project, the Next Generation Turbine project, and Phase I of the Low Wind Speed Turbine (LWST) project. This project is concerned with the development of more cost-effective gearing for speed increasers for wind turbines.

  10. Low Wind Speed Technology Phase II: Investigation of the Application of Medium-Voltage Variable-Speed Drive Technology to Improve the Cost of Energy from Low Wind Speed Turbines; Behnke, Erdman and Whitaker Engineering, Inc.

    SciTech Connect (OSTI)

    Not Available

    2006-03-01

    This fact sheet describes a subcontract with Behnke, Erdman & Whitaker Engineering, Inc. to test the feasibility of applying medium-voltage variable-speed drive technology to low wind speed turbines.

  11. Wind Resource Map: Mexico | Open Energy Information

    Open Energy Info (EERE)

    span two power densities. For example, Wind Power Class 3 represents the Wind Power Density range between 150 watt (W) per square meter (m2) and 200 Wm2. The offset cells in...

  12. Improved Tools for Wind Resource Assessment with Remote Sensing Sodar Device: Cooperative Research and Development Final Report, CRADA Number: CRD-09-363

    SciTech Connect (OSTI)

    Clifton, A.

    2015-02-01

    Under this Agreement, NREL will work with the Participant to characterize wind resource assessment measurement systems needed for the design, construction, and integration of wind energy conversion systems to produce electricity for utility grid applications. This work includes, but is not limited to, research and development of hardware and software systems needed to advance wind energy resource assessment technology at speed and scale for use by electric utilities and wind power system integrators.

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

    SciTech Connect (OSTI)

    Jimenez, A. C.

    2013-12-01

    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.

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

    SciTech Connect (OSTI)

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

    2008-06-01

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

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

    Open Energy Info (EERE)

    search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI Getting Started Data Sets Analysis Tools About SWERA Tool...

  16. Distributed Wind Resource Assessment Workshop | Open Energy Informatio...

    Open Energy Info (EERE)

    Wind Resource Assessment Workshop Jump to: navigation, search Contents 1 Introduction 1.1 Workshop Purpose 1.2 Workshop Goals 1.3 Workshop Objective 2 Panel Session 1:...

  17. Offshore Wind Resource Characterization Buoy “Open-Hatch” Exposition

    Broader source: Energy.gov [DOE]

    Please join the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy for an “Open-Hatch” as one of the nation’s most advanced offshore wind resource characterization buoys...

  18. Wind Energy Resource Atlas of the Dominican Republic

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

    October 2001 * NRELTP-500-27602 Wind Energy Resource Atlas of the Dominican Republic D. Elliott M. Schwartz R. George S. Haymes D. Heimiller G. Scott National Renewable Energy...

  19. Adaptive Pitch Control for Variable Speed Wind Turbines - Energy...

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

    National Renewable Energy Laboratory Contact NREL About This Technology Technology Marketing Summary Wind energy is increasingly recognized as a viable option for complementing and ...

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

    SciTech Connect (OSTI)

    Not Available

    2013-05-01

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

  1. Wind Resource Assessment Overview | Open Energy Information

    Open Energy Info (EERE)

    characteristics of the resource are the largest factors in determining a potential site's economic and technical viability. There are three basic steps to identifying and...

  2. Ohio/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    the Utility Grid? * Can I Go Off-Grid? * State Information Portal * Glossary of Terms * Web Resources * Publications * Case Studies * Podcasts * Webinars * Presentations Ohio...

  3. NREL: Wind Research - U.S. Virgin Islands Begins Collecting Wind Resource

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

    Data: A Wind Powering America Success Story U.S. Virgin Islands Begins Collecting Wind Resource Data: A Wind Powering America Success Story March 25, 2013 In the U.S. Virgin Islands (USVI), electricity is so expensive that families struggle to pay utility bills and businesses close due to high energy costs. With technical assistance from the U.S Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL), the USVI Energy Office is preparing to develop the territory's first

  4. Flutter Speed Predictions for MW-Sized Wind Turbine Blades Don W. Lobitz

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

    1 Introduction Flutter Speed Predictions for MW-Sized Wind Turbine Blades Don W. Lobitz Sandia National Laboratories* Albuquerque, New Mexico 87185 dwlobit@sandia.gov Classical aeroelastic flutter instability historically has not been a driving issue in wind turbine design. In fact, rarely has this issue even been addressed in the past. Commensurately, of the wind turbines that have been built, rarely has classical flutter ever been observed. However, with the advent of larger turbines fitted

  5. 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.

    2010-07-01

    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.

  6. Kaneohe, Hawaii Wind Resource Assessment Report

    SciTech Connect (OSTI)

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

    2011-11-01

    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.

  7. Fixed-Speed and Variable-Slip Wind Turbines Providing Spinning Reserves to the Grid: Preprint

    SciTech Connect (OSTI)

    Muljadi, E.; Singh, M.; Gevorgian, V.

    2012-11-01

    As the level of wind penetration increases, wind turbine technology must move from merely generating power from wind to taking a role in supporting the bulk power system. Wind turbines should have the capability to provide inertial response and primary frequency (governor) response so they can support the frequency stability of the grid. To provide governor response, wind turbines should be able to generate less power than the available wind power and hold the rest in reserve, ready to be accessed as needed. This paper explores several ways to control wind turbine output to enable reserve-holding capability. This paper focuses on fixed-speed (also known as Type 1) and variable-slip (also known as Type 2) turbines.

  8. Adaptive pitch control for variable speed wind turbines

    DOE Patents [OSTI]

    Johnson, Kathryn E. (Boulder, CO); Fingersh, Lee Jay (Westminster, CO)

    2012-05-08

    An adaptive method for adjusting blade pitch angle, and controllers implementing such a method, for achieving higher power coefficients. Average power coefficients are determined for first and second periods of operation for the wind turbine. When the average power coefficient for the second time period is larger than for the first, a pitch increment, which may be generated based on the power coefficients, is added (or the sign is retained) to the nominal pitch angle value for the wind turbine. When the average power coefficient for the second time period is less than for the first, the pitch increment is subtracted (or the sign is changed). A control signal is generated based on the adapted pitch angle value and sent to blade pitch actuators that act to change the pitch angle of the wind turbine to the new or modified pitch angle setting, and this process is iteratively performed.

  9. WINDExchange: Where Is Wind Power?

    Wind Powering America (EERE)

    Where Is Wind Power? WINDExchange offers maps to help you visualize the wind resource at a local level and to show how much wind power has been installed in the United States. How much wind power is on my land? Go to the wind resource maps. Go to the wind resource maps. Go to the wind resource maps. If you want to know how much wind power is in a particular area, these wind resource maps can give you a visual indication of the average wind speeds to a local level such as a neighborhood. These

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

    SciTech Connect (OSTI)

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

    2009-09-01

    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.

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

    SciTech Connect (OSTI)

    Harmata, A.; Podruzny, K.; Zelenak, J.

    1998-07-01

    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.

  12. Wind Integration, Transmission, and Resource Assessment and Characterization Projects, Fiscal Years 2006-2014

    SciTech Connect (OSTI)

    None, None

    2014-04-01

    This report covers the Wind and Water Power Technologies Office's Wind Integration, Transmission, and Resource Assessment and Characterization Projects from 2006 to 2014.

  13. Twin Groves Wind Energy Facility Cut-in Speeds

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

    SYNTHESIS OF OPERATIONAL MITIGATION STUDIES TO REDUCE BAT FATALITIES AT WIND ENERGY FACILITIES IN NORTH AMERICA Prepared for: The National Renewable Energy Laboratory 15013 Denver West Parkway Golden, CO 80401 Prepared by: Edward B. Arnett 1 , Gregory D. Johnson 2 , Wally P. Erickson 2 , and Cris D. Hein 3 1 Theordore Roosevelt Conservation Partnership 2 Western EcoSystems Technology, Inc. 3 Bat Conservation International March 2013 CITATION Arnett, E. B., G. D. Johnson, W. P. Erickson, and C.

  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. U.S. Virgin Islands Wind Resources Update 2014 (Technical Report...

    Office of Scientific and Technical Information (OSTI)

    U.S. Virgin Islands Wind Resources Update 2014 Citation Details In-Document Search Title: U.S. Virgin Islands Wind Resources Update 2014 This report summarizes the data collected...

  16. New Wind Energy Resource Potential Estimates for the United States (Presentation)

    SciTech Connect (OSTI)

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

    2011-01-01

    This presentation provides an overview of the wind energy resource mapping efforts conducted at NREL and by Truepower.

  17. Wind speed response of marine non-precipitating stratocumulus clouds over a diurnal cycle in cloud-system resolving simulations

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

    Kazil, J.; Feingold, G.; Yamaguchi, T.

    2015-10-21

    Observed and projected trends in large scale wind speed over the oceans prompt the question: how might marine stratocumulus clouds and their radiative properties respond to future changes in large scale wind speed? Wind speed drives the surface fluxes of sensible heat, moisture, and momentum, and thereby acts on cloud liquid water path (LWP) and cloud radiative properties. We present an investigation of the dynamical response of non-precipitating, overcast marine stratocumulus clouds to different wind speeds, all else equal. In cloud-system resolving simulations, we find that higher wind speed leads to faster boundary layer growth and stronger entrainment. The dynamicalmoredriver is enhanced buoyant production of turbulence kinetic energy (TKE) from latent heat release in cloud updrafts. LWP is enhanced during the night and in the morning at higher wind speed, and more strongly suppressed later in the day. Wind speed hence accentuates the diurnal LWP cycle by expanding the morning afternoon contrast. The higher LWP at higher wind speed does not, however, enhance cloud top cooling because in clouds with LWP ⪆ 50 g m?2, long wave emissions are very insensitive to LWP. This leads to the more general conclusion that in sufficiently thick stratocumulus clouds, additional boundary layer growth and entrainment due to a boundary layer moistening arises by stronger production of TKE from latent heat release in cloud updrafts, rather than from enhanced longwave cooling. We find furthermore that large scale wind modulates boundary layer decoupling. At nighttime and at low wind speed during daytime, it enhances decoupling in part by faster boundary layer growth and stronger entrainment, and in part because circulation driven by shear from large scale wind in the sub-cloud layer hinders vertical moisture transport between the surface and cloud base. With increasing wind speed, however, in decoupled daytime conditions, shear-driven circulation due to large scale wind takes over from buoyancy-driven circulation in transporting moisture from the surface to cloud base, and thereby reduces decoupling and helps maintain LWP. The cloud radiative effect (CRE) responds to changes in LWP and cloud fraction, and higher wind speed translates to a stronger diurnally averaged CRE. However, the sensitivity of the diurnally averaged CRE to wind speed decreases with increasing wind speed.less

  18. Solar wind suprathermal electron Stahl widths across high-speed stream structures

    SciTech Connect (OSTI)

    Skoug, Ruth M [Los Alamos National Laboratory; Steinberg, John T [Los Alamos National Laboratory; Goodrich, Katherine A [Los Alamos National Laboratory; Anderson, Brett R [DARTMUTH UNIV.

    2011-01-03

    Suprathermal electrons (100-1500 eV) observed in the solar wind typically show a strahl distribution, that is, a beam directed away from the Sun along the magnetic field direction. The strahl width observed at 1 AU is highly variable, ranging from 10-70 degrees. The obsenred finite width of the strahl results from the competition between beam focusing as the interplanetary magnetic field strength drops with distance from the Sun, and pitch-angle scattering as the beam interacts with the solar wind plasma in transit from the sun. Here we examine strahl width, observed with ACE SWEPAM across high-speed stream structures to investigate variations in electron scattering as a function of local plasma characteristics. We find that narrow strahls (less than 20 degrees wide), indicating reduced scattering, are observed within high-speed streams. Narrow strahls are also observed in both very low temperature solar wind, in association with ICMEs. Case studies of high-speed streams typically show the strahl narrowing at the leading edge of the stream. In some cases, the strahl narrows at the reverse shock or pressure wave, in other cases at the stream interface. The narrowing can either occur discontinuously or gradually over a period of hours. Within the high-speed wind, the strahl remains narrow for a period of hours to days, and then gradually broadens. The strahl width is roughly constant at all energies across these structures. For some fraction of high-speed streams, counterstreaming is associated with passage of the corotating interaction region. In these cases, we find the widths of the two counterstreaming beams frequently differ by more than 40 degrees. This dramatic difference in strahl width contrasts with observations in the solar wind as a whole, in which counterstreaming strahls typically differ in width by less than 20 degrees.

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

    SciTech Connect (OSTI)

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

    2010-06-01

    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.

  20. NWTC Helps Chart the World's Wind Resource Potential (Fact Sheet), NREL (National Renewable Energy Laboratory)

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

    Chart the World's Wind Resource Potential The potential wind capacity of the United States at a hub height of 140 meters. This resource map represents near-future technology options. It shows land area with a gross capacity factor of 35% and higher, which may be suitable for wind energy development. The darker the color, the larger the potentially developable area. Researchers at the National Renewable Energy Laboratory's (NREL's) National Wind Technology Center (NWTC) provide the wind industry,

  1. United States Offshore Wind Resource Map at 90 Meters

    Wind Powering America (EERE)

    Offshore Wind Speed at 90 m 10-JAN-2011 1.1.1 Wind Speed at 90 m m/s 11.5 - 12.0 11.0 - 11.5 10.5 - 11.0 10.0 - 10.5 9.5 - 10.0 9.0 - 9.5 8.5 - 9.0 8.0 - 8.5 7.5 - 8.0 7.0 - 7.5 6.5 - 7.0 6.0 - 6.5 0.0 - 6.0 mph 25.7 - 26.8 24.6 - 25.7 23.5 - 24.6 22.4 - 23.5 21.3 - 22.4 20.1 - 21.3 19.0 - 20.1 17.9 - 19.0 16.8 - 17.9 15.7 - 16.8 14.5 - 15.7 13.4 - 14.5 0.0 - 13.4

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

    Wind Powering America (EERE)

    Map Maps & Data Printable Version Bookmark and Share Land-Based Utility-Scale Maps Potential Capacity Maps Offshore Wind Maps Community-Scale Maps Residential-Scale Maps Installed Capacity Maps Puerto Rico and U.S. Virgin Islands 50-Meter Wind Resource Map Puerto Rico and U.S. Virgin Islands wind resource map. Click on the image to view a larger version. Enlarge image This Puerto Rico wind map and the U.S. Virgin Islands wind map shows the wind resource at 50 meters. Download a printable

  3. Rhode Island High Resolution Wind Resource - Datasets - OpenEI...

    Open Energy Info (EERE)

    Detailed license and usage information for this dataset Preview Download 50m GIS NREL Rhode Island energy high resoltuion renewable shapefile wind wind data wind...

  4. Wind Energy Resource Assessment on Alaska Native Lands in Cordova Region of Prince William Sound

    SciTech Connect (OSTI)

    Whissel, John C.; Piche, Matthew

    2015-06-29

    The Native Village of Eyak (NVE) has been monitoring wind resources around Cordova, Alaska in order to determine whether there is a role for wind energy to play in the city’s energy scheme, which is now supplies entirely by two run-of-the-river hydro plants and diesel generators. These data are reported in Appendices A and B. Because the hydro resources decline during winter months, and wind resources increase, wind is perhaps an ideal counterpart to round out Cordova’s renewable energy supply. The results of this effort suggests that this is the case, and that developing wind resources makes sense for our small, isolated community.

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

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

    00-45889 June 2010 Assessment of Offshore Wind Energy Resources for the United States Marc Schwartz, Donna Heimiller, Steve Haymes, and Walt Musial National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-500-45889 June

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

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

    U.S. Virgin Islands Wind Resources Update 2014 Joseph Owen Roberts and Adam Warren National Renewable Energy Laboratory Technical Report NREL/TP-7A40-63094 December 2014 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at www.nrel.gov/publications. Contract No. DE-AC36-08GO28308 National

  7. Modelling renewable electric resources: A case study of wind

    SciTech Connect (OSTI)

    Bernow, S.; Biewald, B.; Hall, J.; Singh, D.

    1994-07-01

    The central issue facing renewables in the integrated resource planning process is the appropriate assessment of the value of renewables to utility systems. This includes their impact on both energy and capacity costs (avoided costs), and on emissions and environmental impacts, taking account of the reliability, system characteristics, interactions (in dispatch), seasonality, and other characteristics and costs of the technologies. These are system-specific considerations whose relationships may have some generic implications. In this report, we focus on the reliability contribution of wind electric generating systems, measured as the amount of fossil capacity they can displace while meeting the system reliability criterion. We examine this issue for a case study system at different wind characteristics and penetration, for different years, with different system characteristics, and with different modelling techniques. In an accompanying analysis we also examine the economics of wind electric generation, as well as its emissions and social costs, for the case study system. This report was undertaken for the {open_quotes}Innovative IRP{close_quotes} program of the U.S. Department of Energy, and is based on work by both Union of Concerned Scientists (UCS) and Tellus Institute, including America`s Energy Choices and the UCS Midwest Renewables Project.

  8. U.S. Virgin Islands Wind Resources Update 2014 Roberts, J. O...

    Office of Scientific and Technical Information (OSTI)

    Virgin Islands Wind Resources Update 2014 Roberts, J. O.; Warren, A. 17 WIND ENERGY; 29 ENERGY PLANNING, POLICY AND ECONOMY; 24 POWER TRANSMISSION AND DISTRIBUTION U.S. VIRGIN...

  9. Low Wind Speed Turbine Project Phase II: The Application of Medium-Voltage Electrical Apparatus to the Class of Variable Speed Multi-Megawatt Low Wind Speed Turbines; 15 June 2004--30 April 2005

    SciTech Connect (OSTI)

    Erdman, W.; Behnke, M.

    2005-11-01

    Kilowatt ratings of modern wind turbines have progressed rapidly from 50 kW to 1,800 kW over the past 25 years, with 3.0- to 7.5-MW turbines expected in the next 5 years. The premise of this study is simple: The rapid growth of wind turbine power ratings and the corresponding growth in turbine electrical generation systems and associated controls are quickly making low-voltage (LV) electrical design approaches cost-ineffective. This report provides design detail and compares the cost of energy (COE) between commercial LV-class wind power machines and emerging medium-voltage (MV)-class multi-megawatt wind technology. The key finding is that a 2.5% reduction in the COE can be achieved by moving from LV to MV systems. This is a conservative estimate, with a 3% to 3.5% reduction believed to be attainable once purchase orders to support a 250-turbine/year production level are placed. This evaluation considers capital costs as well as installation, maintenance, and training requirements for wind turbine maintenance personnel. Subsystems investigated include the generator, pendant cables, variable-speed converter, and padmount transformer with switchgear. Both current-source and voltage-source converter/inverter MV topologies are compared against their low-voltage, voltage-source counterparts at the 3.0-, 5.0-, and 7.5-MW levels.

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

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

    Department of Energy Releases New Land-Based/Offshore Wind Resource Map Energy Department Releases New Land-Based/Offshore Wind Resource Map May 1, 2012 - 2:23pm Addthis This is an excerpt from the Second Quarter 2012 edition of the Wind Program R&D Newsletter. The Energy Department recently released a new wind resource map compiled by the National Renewable Energy Laboratory (NREL) and AWS Truepower that combines land-based with offshore resources. The new combined map, posted on the

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

    Open Energy Info (EERE)

    high resolution wind resource datasets modeled for specific countries with low resolution data originating from the National Centers for Environmental Prediction (United States)...

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

    Open Energy Info (EERE)

    and policies that promote renewable energy and energy efficiency. Distributed Wind Energy Association DWEA provides info about distributed and community wind, including a...

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

    Open Energy Info (EERE)

    Support Software & Downloads Wind Industry Careers Data, APIs, and Visualizations: Introduction for Aspiring Developers Are you looking to get raw data from Wind for Schools...

  14. Wind Energy Resources for Teachers | Open Energy Information

    Open Energy Info (EERE)

    educational materials called "Energy Quest" that includes Energy Story: Wind Energy, Science Project: Building a Wind Gauge, and Science Project: Make an Anemometer (a device to...

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

    SciTech Connect (OSTI)

    Clark, E.L.

    1994-07-01

    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.

  16. Effect of Tip-Speed Constraints on the Optimized Design of a Wind Turbine

    SciTech Connect (OSTI)

    Dykes, K.; Resor, B.; Platt, A.; Guo, Y.; Ning, A.; King, R.; Parsons, T.; Petch, D.; Veers, P.

    2014-10-01

    This study investigates the effect of tip-velocity constraints on system levelized cost of energy (LCOE). The results indicate that a change in maximum tip speed from 80 to 100~m/s could produce a 32% decrease in gearbox weight (a 33% reduction in cost) which would result in an overall reduction of 1%-9% in system LCOE depending on the design approach. Three 100~m/s design cases were considered including a low tip-speed ratio/high-solidity rotor design, a high tip-speed ratio/ low-solidity rotor design, and finally a flexible blade design in which a high tip-speed ratio was used along with removing the tip deflection constraint on the rotor design. In all three cases, the significant reduction in gearbox weight caused by the higher tip-speed and lower overall gear ratio was counterbalanced by increased weights for the rotor and/or other drivetrain components and the tower. As a result, the increased costs of either the rotor or drivetrain components offset the overall reduction in turbine costs from down-sizing the gearbox. Other system costs were not significantly affected, whereas energy production was slightly reduced in the 100~m/s case low tip-speed ratio case and increased in the high tip-speed ratio case. This resulted in system cost of energy reductions moving from the 80~m/s design to the 100~m/s designs of 1.2% for the low tip-speed ratio, 4.6% for the high tip-speed ratio, and 9.5% for the final flexible case (the latter result is optimistic because the impact of deflection of the flexible blade on power production was not modeled). Overall, the results demonstrate that there is a trade-off in system design between the maximum tip velocity and the overall wind plant cost of energy, and there are many trade-offs within the overall system in designing a turbine for a high maximum tip velocity.

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

    SciTech Connect (OSTI)

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

    2006-10-01

    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.

  18. New Mexico/Wind Resources | Open Energy Information

    Open Energy Info (EERE)

    Small Wind Turbine? * Where Can I Find Installation and Maintenance Support? * How Much Energy Will My System Generate? * Is There Enough Wind on My Site? * How Do I Choose the...

  19. Wind Resources on Tribal Land. Iowa Tribe of Oklahoma

    SciTech Connect (OSTI)

    Holiday, Michelle

    2015-03-27

    Final project report submitted by the Iowa Tribe of Oklahoma for the Department of Energy Wind Energy Grant

  20. Prediction and analysis of infra and low-frequency noise of upwind horizontal axis wind turbine using statistical wind speed model

    SciTech Connect (OSTI)

    Lee, Gwang-Se; Cheong, Cheolung

    2014-12-15

    Despite increasing concern about low-frequency noise of modern large horizontal-axis wind turbines (HAWTs), few studies have focused on its origin or its prediction methods. In this paper, infra- and low-frequency (the ILF) wind turbine noise are closely examined and an efficient method is developed for its prediction. Although most previous studies have assumed that the ILF noise consists primarily of blade passing frequency (BPF) noise components, these tonal noise components are seldom identified in the measured noise spectrum, except for the case of downwind wind turbines. In reality, since modern HAWTs are very large, during rotation, a single blade of the turbine experiences inflow with variation in wind speed in time as well as in space, breaking periodic perturbations of the BPF. Consequently, this transforms acoustic contributions at the BPF harmonics into broadband noise components. In this study, the ILF noise of wind turbines is predicted by combining Lowson’s acoustic analogy with the stochastic wind model, which is employed to reproduce realistic wind speed conditions. In order to predict the effects of these wind conditions on pressure variation on the blade surface, unsteadiness in the incident wind speed is incorporated into the XFOIL code by varying incident flow velocities on each blade section, which depend on the azimuthal locations of the rotating blade. The calculated surface pressure distribution is subsequently used to predict acoustic pressure at an observing location by using Lowson’s analogy. These predictions are compared with measured data, which ensures that the present method can reproduce the broadband characteristics of the measured low-frequency noise spectrum. Further investigations are carried out to characterize the IFL noise in terms of pressure loading on blade surface, narrow-band noise spectrum and noise maps around the turbine.

  1. LIDAR Wind Speed Measurement Analysis and Feed-Forward Blade Pitch Control for Load Mitigation in Wind Turbines: January 2010--January 2011

    SciTech Connect (OSTI)

    Dunne, F.; Simley, E.; Pao, L.Y.

    2011-10-01

    This report examines the accuracy of measurements that rely on Doppler LIDAR systems to determine their applicability to wind turbine feed-forward control systems and discusses feed-forward control system designs that use preview wind measurements. Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feed-forward control systems designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. The first half of this report examines the accuracy of different measurement scenarios that rely on coherent continuous-wave or pulsed Doppler LIDAR systems to determine their applicability to feed-forward control. In particular, the impacts of measurement range and angular offset from the wind direction are studied for various wind conditions. A realistic case involving a scanning LIDAR unit mounted in the spinner of a wind turbine is studied in depth with emphasis on choices for scan radius and preview distance. The effects of turbulence parameters on measurement accuracy are studied as well. Continuous-wave and pulsed LIDAR models based on typical commercially available units were used in the studies present in this report. The second half of this report discusses feed-forward control system designs that use preview wind measurements. Combined feedback/feed-forward blade pitch control is compared to industry standard feedback control when simulated in realistic turbulent above-rated winds. The feed-forward controllers are designed to reduce fatigue loads, increasing turbine lifetime and therefore reducing the cost of energy. Three feed-forward designs are studied: non-causal series expansion, Preview Control, and optimized FIR filter. The input to the feed-forward controller is a measurement of incoming wind speeds that could be provided by LIDAR. Non-causal series expansion and Preview Control methods reduce blade root loads but increase tower bending in simulation results. The optimized FIR filter reduces loads overall, keeps pitch rates low, and maintains rotor speed regulation and power capture, while using imperfect wind measurements provided by the spinning continuous-wave LIDAR model.

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

    SciTech Connect (OSTI)

    Daniel Kirk-Davidoff; Daniel Barrie

    2013-03-19

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

    SciTech Connect (OSTI)

    Deola, Regina Anne

    2010-01-01

    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.

  4. Wind for Schools Portal Educational Resources | Open Energy Informatio...

    Open Energy Info (EERE)

    WINDExchange website provides a page dedicated to links to Wind Energy Curricula and Teaching Materials. Retrieved from "http:en.openei.orgwindex.php?titleWindforSchoolsPo...

  5. 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.

    1981-02-01

    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 ().

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

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

    As a pre-existing structure in a location with excellent offshore wind resources, the Chesapeake Light Tower provides a cost-effective alternative to building a new platform large...

  7. Offshore Wind Resource Characterization Buoy "Open-Hatch" Exposition...

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

    the nuts and bolts of the WindSentinel, open its hatch, and learn more about its advanced research equipment. Throughout the Day Energy Department Staff Will be Available to Answer...

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

    Open Energy Info (EERE)

    City, OK 73104-3234 Phone: 800-879-6552 E-mail: info@okcommerce.gov State Energy Office Jennifer Jenkins Distributed Wind Energy Association PO Box 1861 Flagstaff, AZ 86002...

  9. Recent Wind Resource Characterization Activities at the National...

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

    NREUCP-440-23095 * UC Category: 1210 Recent Wind Reso Characterization A at the National Ren Energy Labora Dennis L. Elliott Marc N. Schwartz Presented at Windpower '97 Austin,...

  10. VAR Support from Distributed Wind Energy Resources: Preprint

    SciTech Connect (OSTI)

    Romanowitz, H.; Muljadi, E.; Butterfield, C. P.; Yinger, R.

    2004-07-01

    As the size and quantity of wind farms and other distributed generation facilities increase, especially in relation to local grids, the importance of a reactive power compensator or VAR support from these facilities becomes more significant. Poorly done, it can result in cycling or inadequate VAR support, and the local grid could experience excessive voltage regulation and, ultimately, instability. Improved wind turbine and distributed generation power control technologies are creating VAR support capabilities that can be used to enhance the voltage regulation and stability of local grids. Locating VAR support near the point of consumption, reducing step size, and making the control active all improve the performance of the grid. This paper presents and discusses alternatives for improving the integration of VAR support from distributed generation facilities such as wind farms. We also examine the relative effectiveness of distributed VAR support on the local grid and how it can b e integrated with the VAR support of the grid operator.

  11. Wind Resource Estimation and Mapping at the National Renewable...

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

    Resource Estimation and Mapping at the National Renewable Energy Laboratory April 1999 * NRELCP-500-26245 M. Schwartz Presented at the ASES Solar '99 Conference Portland, Maine...

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

    SciTech Connect (OSTI)

    Roberts, J. O.; Warren, A.

    2014-12-01

    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.

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

    Broader source: Energy.gov [DOE]

    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. The report leverages previous feasibility studies conducted at NREL, including Wind Power Opportunities in St. Thomas, USVI: A Site-Specific Analysis.

  14. Technology Improvement Opportunities for Low Wind Speed Turbines and Implications for Cost of Energy Reduction

    SciTech Connect (OSTI)

    None

    2008-02-01

    This report analyzes the status of wind energy technology in 2002 and describes the potential for technology advancements to reduce the cost and increase the performance of wind turbines.

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

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

    Resource Atlas of Armenia (CD-ROM) http:www.nrel.govdocsfy03osti33877CD.zip (ZIP 31.9 MB) NRELCD-500-33877 July 2003 Instructions: The URL above links to a zipped archive...

  16. Iowa Tribe of Oklahoma's Assessment of Wind Resources on Tribal Land

    Office of Environmental Management (EM)

    Oklahoma's Assessment of Wind Resources on Tribal Land DOE's Tribal Energy Program Review March 24-27, 2014 - Denver, CO Overview  Iowa Tribe of Oklahoma  Iowa Tribe Long Term Energy Vision  Historical Renewable Energy Timeline  Project Objectives  Wind Study Reports  New Location Update  Changes and Challenges  Next Steps and Final Report Iowa Tribe of Oklahoma  Tribal enrollment is over 780  Organized under the Oklahoma Indian Welfare Act, which authorized the

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

    SciTech Connect (OSTI)

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

    2005-09-01

    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.

  18. 20% Wind Energy by 2030 - Chapter 3: Manufacturing, Materials, and Resources Summary Slides

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

    by 2030 Chapter 3: Manufacturing, Materials, and Resources Summary Slides Manufacturing, materials, and resource challenges Materials * Demand for steel will increase significantly * Improved availability of critical materials needed: fiberglass, resins and permanent magnets could be a constraint Manufacturing * The 20% Wind Scenario would require a 20% annual growth in installations for nearly a decade and then require maintaining that installation level through 2030 Education and workforce *

  19. MHK ISDB/Sensors/Wind Speed Sensor 2740 | Open Energy Information

    Open Energy Info (EERE)

    Velocity Planar Measurement (Current), 3D Velocity Volumetric Measurement (Current), Density (Ice), Direction (Ice), Speed (Ice), Thickness (Ice), Pressure (Tidal), Sea Surface...

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

    SciTech Connect (OSTI)

    Schwartz, M.; Elliott, D.

    2004-07-01

    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. 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

    2011-10-10

    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.

  2. Wind Measurements from Arc Scans with Doppler Wind Lidar

    SciTech Connect (OSTI)

    Wang, H.; Barthelmie, R. J.; Clifton, Andy; Pryor, S. C.

    2015-11-25

    When defining optimal scanning geometries for scanning lidars for wind energy applications, we found that it is still an active field of research. Our paper evaluates uncertainties associated with arc scan geometries and presents recommendations regarding optimal configurations in the atmospheric boundary layer. The analysis is based on arc scan data from a Doppler wind lidar with one elevation angle and seven azimuth angles spanning 30° and focuses on an estimation of 10-min mean wind speed and direction. When flow is horizontally uniform, this approach can provide accurate wind measurements required for wind resource assessments in part because of its high resampling rate. Retrieved wind velocities at a single range gate exhibit good correlation to data from a sonic anemometer on a nearby meteorological tower, and vertical profiles of horizontal wind speed, though derived from range gates located on a conical surface, match those measured by mast-mounted cup anemometers. Uncertainties in the retrieved wind velocity are related to high turbulent wind fluctuation and an inhomogeneous horizontal wind field. Moreover, the radial velocity variance is found to be a robust measure of the uncertainty of the retrieved wind speed because of its relationship to turbulence properties. It is further shown that the standard error of wind speed estimates can be minimized by increasing the azimuthal range beyond 30° and using five to seven azimuth angles.

  3. Wind Measurements from Arc Scans with Doppler Wind Lidar

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

    Wang, H.; Barthelmie, R. J.; Clifton, Andy; Pryor, S. C.

    2015-11-25

    When defining optimal scanning geometries for scanning lidars for wind energy applications, we found that it is still an active field of research. Our paper evaluates uncertainties associated with arc scan geometries and presents recommendations regarding optimal configurations in the atmospheric boundary layer. The analysis is based on arc scan data from a Doppler wind lidar with one elevation angle and seven azimuth angles spanning 30° and focuses on an estimation of 10-min mean wind speed and direction. When flow is horizontally uniform, this approach can provide accurate wind measurements required for wind resource assessments in part because of itsmore » high resampling rate. Retrieved wind velocities at a single range gate exhibit good correlation to data from a sonic anemometer on a nearby meteorological tower, and vertical profiles of horizontal wind speed, though derived from range gates located on a conical surface, match those measured by mast-mounted cup anemometers. Uncertainties in the retrieved wind velocity are related to high turbulent wind fluctuation and an inhomogeneous horizontal wind field. Moreover, the radial velocity variance is found to be a robust measure of the uncertainty of the retrieved wind speed because of its relationship to turbulence properties. It is further shown that the standard error of wind speed estimates can be minimized by increasing the azimuthal range beyond 30° and using five to seven azimuth angles.« less

  4. Variable-speed wind power system with improved energy capture via multilevel conversion

    DOE Patents [OSTI]

    Erickson, Robert W.; Al-Naseem, Osama A.; Fingersh, Lee Jay

    2005-05-31

    A system and method for efficiently capturing electrical energy from a variable-speed generator are disclosed. The system includes a matrix converter using full-bridge, multilevel switch cells, in which semiconductor devices are clamped to a known constant DC voltage of a capacitor. The multilevel matrix converter is capable of generating multilevel voltage wave waveform of arbitrary magnitude and frequencies. The matrix converter can be controlled by using space vector modulation.

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

    SciTech Connect (OSTI)

    Lew, Debra

    2010-03-01

    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. Wind Simulation

    Energy Science and Technology Software Center (OSTI)

    2008-12-31

    The Software consists of a spreadsheet written in Microsoft Excel that provides an hourly simulation of a wind energy system, which includes a calculation of wind turbine output as a power-curve fit of wind speed.

  7. Distributed Wind Energy in Idaho

    SciTech Connect (OSTI)

    Gardner, John; Ferguson, James; Ahmed-Zaid, Said; Johnson, Kathryn; Haynes, Todd; Bennett, Keith

    2009-01-31

    Project Objective: This project is a research and development program aimed at furthering distributed wind technology. In particular, this project addresses some of the barriers to distributed wind energy utilization in Idaho. Background: At its core, the technological challenge inherent in Wind Energy is the transformation of a highly variable form of energy to one which is compatible with the commercial power grid or another useful application. A major economic barrier to the success of distributed wind technology is the relatively high capital investment (and related long payback periods) associated with wind turbines. This project will carry out fundamental research and technology development to address both the technological and economic barriers. • Active drive train control holds the potential to improve the overall efficiency of a turbine system by allowing variable speed turbine operation while ensuring a tight control of generator shaft speed, thus greatly simplifying power conditioning. • Recent blade aerodynamic advancements have been focused on large, utility-scale wind turbine generators (WTGs) as opposed to smaller WTGs designed for distributed generation. Because of Reynolds Number considerations, blade designs do not scale well. Blades which are aerodynamically optimized for distributed-scale WTGs can potentially reduce the cost of electricity by increasing shaft-torque in a given wind speed. • Grid-connected electric generators typically operate at a fixed speed. If a generator were able to economically operate at multiple speeds, it could potentially convert more of the wind’s energy to electricity, thus reducing the cost of electricity. This research directly supports the stated goal of the Wind and Hydropower Technologies Program for Distributed Wind Energy Technology: By 2007, reduce the cost of electricity from distributed wind systems to 10 to 15 cents/kWh in Class 3 wind resources, the same level that is currently achievable in Class 5 winds.

  8. NREL: Wind Research - Offshore Wind Research

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

    Standards and Testing NREL's Offshore Wind Testing Capabilities 35 years of wind turbine testing experience Custom high speed data acquisition system integrated for offshore...

  9. Wind Energy | Department of Energy

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

    Wind Energy Wind Energy Below are resources for Tribes on wind energy technologies. 2012 Market Report on Wind Technologies in Distributed Applications Includes a breakdown of ...

  10. 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...

  11. Wind Technologies & Evolving Opportunities (Presentation)

    SciTech Connect (OSTI)

    Robichaud, R.

    2014-07-01

    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.

  12. Effects of Changing Atmospheric Conditions on Wind Turbine Performance (Poster)

    SciTech Connect (OSTI)

    Clifton, A.

    2012-12-01

    Multi-megawatt, utility-scale wind turbines operate in turbulent and dynamic winds that impact turbine performance in ways that are gradually becoming better understood. This poster presents a study made using a turbulent flow field simulator (TurbSim) and a Turbine aeroelastic simulator (FAST) of the response of a generic 1.5 MW wind turbine to changing inflow. The turbine power output is found to be most sensitive to wind speed and turbulence intensity, but the relationship depends on the wind speed with respect to the turbine's rated wind speed. Shear is found to be poorly correlated to power. A machine learning method called 'regression trees' is used to create a simple model of turbine performance that could be used as part of the wind resource assessment process. This study has used simple flow fields and should be extended to more complex flows, and validated with field observations.

  13. Offshore Wind Potential Tables

    Wind Powering America (EERE)

    Offshore wind resource by state and wind speed interval within 50 nm of shore. Wind Speed at 90 m (m/s) 7.0 - 7.5 7.5 - 8.0 8.0 - 8.5 8.5 - 9.0 9.0 - 9.5 9.5 - 10.0 >10.0 Total >7.0 State Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) Area km 2 (MW) California 11,439 (57,195) 24,864 (124,318) 23,059 (115,296) 22,852 (114,258) 13,185 (65,924) 15,231 (76,153) 6,926 (34,629) 117,555 (587,773) Connecticut 530 (2,652) 702 (3,508) 40

  14. Low Speed Technology for Small Turbine Development Reaction Injection Molded 7.5 Meter Wind Turbine Blade

    SciTech Connect (OSTI)

    David M. Wright; DOE Project Officer - Keith Bennett

    2007-07-31

    An optimized small turbine blade (7.5m radius) was designed and a partial section molded with the RIM (reaction-injection molded polymer) process for mass production. The intended market is for generic three-bladed wind turbines, 100 kilowatts or less, for grid-assist end users with rural and semi-rural sites, such as the farm/ranch market, having low to moderate IEC Class 3-4 wind regimes. This blade will have substantial performance improvements over, and be cheaper than, present-day 7.5m blades. This is made possible by the injection-molding process, which yields high repeatability, accurate geometry and weights, and low cost in production quantities. No wind turbine blade in the 7.5m or greater size has used this process. The blade design chosen uses a RIM skin bonded to a braided infused carbon fiber/epoxy spar. This approach is attractive to present users of wind turbine blades in the 5-10m sizes. These include rebladeing California wind farms, refurbishing used turbines for the Midwest farm market, and other manufacturers introducing new turbines in this size range.

  15. WINDExchange: Siting Wind Turbines

    Wind Powering America (EERE)

    Deployment Activities Printable Version Bookmark and Share Regional Resource Centers Economic Development Siting Resources & Tools Siting Wind Turbines This page provides resources about wind turbine siting. American Wind Wildlife Institute The American Wind Wildlife Institute (AWWI) facilitates timely and responsible development of wind energy, while protecting wildlife and wildlife habitat. AWWI was created and is sustained by a unique collaboration of environmentalists, conservationists,

  16. Wind Integration National Dataset (WIND) Toolkit

    Broader source: Energy.gov [DOE]

    For utility companies, grid operators and other stakeholders interested in wind energy integration, collecting large quantities of high quality data on wind energy resources is vitally important....

  17. File:Calabarzon Speed 100m | Open Energy Information

    Open Energy Info (EERE)

    Calabarzon - Republic of the Philippines Wind Speed at 100 meters Sources National Renewable Energy Laboratory Authors Billy Roberts Related Technologies Wind, Wind 100m...

  18. Preliminary analysis of the audible noise of constant-speed, horizontal-axis wind-turbine generators

    SciTech Connect (OSTI)

    Keast, D. N.; Potter, R. C.

    1980-07-01

    An analytical procedure has been developed for calculating certain aerodynamic sound levels produced by large, horizontal-axis wind-turbine generators (WTG's) such as the DOE/NASA Mods-0, -0A, -1, and -2. This preliminary procedure is based upon very limited field data from the Mod-0. It postulates a noise component due to the (constant) rotation of the blades of the WTG, plus a wake-noise component that increases with the square of the power produced by the WTG. Mechanical sound from machinery, and low-frequency impulsive sounds produced by blade interaction with the wake of the support tower are not considered.

  19. Wind Program | Department of Energy

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

    and national laboratory accomplishments in advancing our nation's clean energy future. Read more New Wind Technology Resource Center Launched New Wind Technology Resource Center ...

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

    SciTech Connect (OSTI)

    Makarov, Yuri V.; Lu, Shuai

    2008-07-15

    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.

  1. 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

    2012-03-27

    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

  2. Wind Program: Publications

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

    Resources Publications Advanced Search Browse by Topic Mail Requests Help Energy Basics Wind Energy FAQs Small Wind Systems FAQs Multimedia Related Links Feature featured...

  3. On the measurement of wind speeds in tornadoes with a portable CW/FM-CW Doppler radar

    SciTech Connect (OSTI)

    Bluestein, H.B. . School of Meteorology); Unruh, W.P. )

    1991-01-01

    Both the formation mechanism and structure of tornadoes are not yet well understood. The Doppler radar is probably the best remote-sensing instrument at present for determining the wind field in tornadoes. Although much has been learned about the non-supercell tornado from relatively close range using Doppler radars at fixed sites, close-range measurements in supercell tornadoes are relatively few. Doppler radar can increase significantly the number of high-resolution, sub-cloud base measurements of both the tornado vortex and its parent vortex in supercells, with simultaneous visual documentation. The design details and operation of the CW/FM-CW Doppler radar developed at the Los Alamos National Laboratory and used by storm-intercept teams at the Univ. of Oklahoma are described elsewhere. The radar transmits 1 W at 3 cm, and can be switched back and forth between CW and FM-CW modes. In the FM-CW mode the sweep repetition frequency is 15.575 kHz and the sweep width 1.9 MHz; the corresponding maximum unambiguous range and velocity, and range resolution are 5 km, {plus minus} 115 m s{sup {minus}1}, and 78 m respectively. The bistatic antennas, which have half-power beamwidths of 5{degree}, are easily pointed wit the aid of a boresighted VCR. FM-CW Data are recorded on the VCR, while voice documentation is recorded on the audio tape; video is recorded on another VCR. The radar and antennas are easily mounted on a tripod, and can be set up by three people in a minute or two. The purpose of this paper is to describe the signal processing techniques used to determine the Doppler spectrum in the FM-CW mode and a method of its interpretation in real time, and to present data gathered in a tornadic storm in 1990. 15 refs., 7 figs.

  4. Resources

    Broader source: Energy.gov [DOE]

    Case studies and additional resources on implementing renewable energy in Federal new construction and major renovations are available.

  5. Sandia Energy - Resources

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

    Resources Home Stationary Power Energy Conversion Efficiency Wind Energy Resources ResourcesTara Camacho-Lopez2015-06-10T19:29:54+00:00...

  6. Wind Development on Tribal Lands

    SciTech Connect (OSTI)

    Ken Haukaas; Dale Osborn; Belvin Pete

    2008-01-18

    Background: The Rosebud Sioux Tribe (RST) is located in south central South Dakota near the Nebraska border. The nearest community of size is Valentine, Nebraska. The RST is a recipient of several Department of Energy grants, written by Distributed Generation Systems, Inc. (Disgen), for the purposes of assessing the feasibility of its wind resource and subsequently to fund the development of the project. Disgen, as the contracting entity to the RST for this project, has completed all the pre-construction activities, with the exception of the power purchase agreement and interconnection agreement, to commence financing and construction of the project. The focus of this financing is to maximize the economic benefits to the RST while achieving commercially reasonable rates of return and fees for the other parties involved. Each of the development activities required and its status is discussed below. Land Resource: The Owl Feather War Bonnet 30 MW Wind Project is located on RST Tribal Trust Land of approximately 680 acres adjacent to the community of St. Francis, South Dakota. The RST Tribal Council has voted on several occasions for the development of this land for wind energy purposes, as has the District of St. Francis. Actual footprint of wind farm will be approx. 50 acres. Wind Resource Assessment: The wind data has been collected from the site since May 1, 2001 and continues to be collected and analyzed. The latest projections indicate a net capacity factor of 42% at a hub height of 80 meters. The data has been collected utilizing an NRG 9300 Data logger System with instrumentation installed at 30, 40 and 65 meters on an existing KINI radio tower. The long-term annual average wind speed at 65-meters above ground level is 18.2 mph (8.1 mps) and 18.7 mph (8.4 mps) at 80-meters agl. The wind resource is excellent and supports project financing.

  7. Offshore Wind Project Surges Ahead in South Carolina

    Broader source: Energy.gov [DOE]

    The Center for Marine and Wetland Studies studies wind speed data from buoys, which have been measuring wind speed and direction for the past year.

  8. WINDExchange: Wind Maps and Data

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

    Wind Maps and Data WINDExchange provides wind maps and anemometer data to help homeowners, communities, states, and regions learn more about their available wind resources and plan wind energy projects. WINDExchange also maintains more than a decade of installed capacity maps showing how wind energy has progressed across the United States over time as advances in wind technology and materials make wind resources more available. A map illustration of the United States showing the various wind

  9. Resources

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

    Resources Resources Policies, Manuals & References Map Transportation Publications ⇒ Navigate Section Resources Policies, Manuals & References Map Transportation Publications Getting Help or Information IT Help Desk (or call x4357) Facilities Work Request Center Telephone Services Travel Site Info Laboratory Map Construction Updates Laboratory Shuttle Buses Cafeteria Menu News and Events Today at Berkeley Lab News Center Press Releases Feature Stories Videos Contact Calendar Health and

  10. Technology Improvement Opportunities for Low Wind Speed Turbines and Implications for Cost of Energy Reduction: July 9, 2005 - July 8, 2006

    SciTech Connect (OSTI)

    Cohen, J.; Schweizer, T.; Laxson, A.; Butterfield, S.; Schreck, S.; Fingersh, L.; Veers, P.; Ashwill, T.

    2008-02-01

    This report analyzes the status of wind energy technology in 2002 and describes the potential for technology advancements to reduce the cost and increase the performance of wind turbines.

  11. NREL: Innovation Impact - Wind

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

    Wind Energy Menu Home Home Solar Solar Wind Wind Analysis Analysis Bioenergy Bioenergy Buildings Buildings Transportation Transportation Manufacturing Manufacturing Energy Systems Integration Energy Systems Integration Wind turbines must withstand powerful aerodynamic forces unlike any other propeller-drive machines. Close NREL's work with industry has improved the efficiency and durability of turbine blades and gearboxes. Innovations include: Specialized airfoils Variable-speed turbines

  12. Second Wind Inc | Open Energy Information

    Open Energy Info (EERE)

    Region: Greater Boston Area Sector: Wind energy Product: Provides systems for wind measurement and wind resource assessment Website: www.secondwind.com Coordinates:...

  13. Wind for Schools Portal | Open Energy Information

    Open Energy Info (EERE)

    Wind for Schools Portal Jump to: navigation, search edit Wind for Schools Portal Home Comparison Motion Chart Educational Resources Turbine Support Software & Downloads Wind...

  14. South Carolina Opens Nation's Largest Wind Drivetrain Testing...

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

    new turbines, particularly for offshore wind-helping to speed deployment of next ... conduct research on stronger, more durable wind drivetrains for land-based wind farms. ...

  15. Wind turbine

    DOE Patents [OSTI]

    Cheney, Jr., Marvin C. (Glastonbury, CT)

    1982-01-01

    A wind turbine of the type having an airfoil blade (15) mounted on a flexible beam (20) and a pitch governor (55) which selectively, torsionally twists the flexible beam in response to wind turbine speed thereby setting blade pitch, is provided with a limiter (85) which restricts unwanted pitch change at operating speeds due to torsional creep of the flexible beam. The limiter allows twisting of the beam by the governor under excessive wind velocity conditions to orient the blades in stall pitch positions, thereby preventing overspeed operation of the turbine. In the preferred embodiment, the pitch governor comprises a pendulum (65,70) which responds to changing rotor speed by pivotal movement, the limiter comprising a resilient member (90) which engages an end of the pendulum to restrict further movement thereof, and in turn restrict beam creep and unwanted blade pitch misadjustment.

  16. Wind energy conversion system

    DOE Patents [OSTI]

    Longrigg, Paul (Golden, CO)

    1987-01-01

    The wind energy conversion system includes a wind machine having a propeller connected to a generator of electric power, the propeller rotating the generator in response to force of an incident wind. The generator converts the power of the wind to electric power for use by an electric load. Circuitry for varying the duty factor of the generator output power is connected between the generator and the load to thereby alter a loading of the generator and the propeller by the electric load. Wind speed is sensed electro-optically to provide data of wind speed upwind of the propeller, to thereby permit tip speed ratio circuitry to operate the power control circuitry and thereby optimize the tip speed ratio by varying the loading of the propeller. Accordingly, the efficiency of the wind energy conversion system is maximized.

  17. WINDExchange: Wind Energy Market Sectors

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

    Market Sectors Printable Version Bookmark and Share Utility-Scale Wind Distributed Wind Motivations for Buying Wind Power Buying Wind Power Selling Wind Power Wind Energy Market Sectors U.S. power plants generate electricity for homes, factories, and businesses from a variety of resources, including coal, hydro, natural gas, nuclear, petroleum, and (non-hydro) renewable resources such as wind and solar energy. This power generation mix varies significantly across the country depending on

  18. ARM - Wind Chill Calculations

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

    CalculatorsWind Chill Calculations Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Wind Chill Calculations Wind Chill is the apparent temperature felt on the exposed human body owing to the combination of temperature and wind speed. From 1945 to 2001, Wind Chill was calculated by the Siple

  19. 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.

  20. An Exploration of Wind Energy & Wind Turbines

    K-12 Energy Lesson Plans and Activities Web site (EERE)

    This unit, which includes both a pre and post test on wind power engages students by allowing them to explore connections between wind energy and other forms of energy. Students learn about and examine the overall design of a wind turbine and then move forward with an assessment of the energy output as factors involving wind speed, direction and blade design are altered. Students are directed to work in teams to design, test and analyze components of a wind turbine such as blade length, blade shape, height of turbine, etc Student worksheets are included to facilitate the design and analysis process. Learning Goals: Below are the learning targets for the wind energy unit.

  1. Field Testing of LIDAR-Assisted Feedforward Control Algorithms for Improved Speed Control and Fatigue Load Reduction on a 600-kW Wind Turbine: Preprint

    SciTech Connect (OSTI)

    Kumar, Avishek A.; Bossanyi, Ervin A.; Scholbrock, Andrew K.; Fleming, Paul; Boquet, Mathieu; Krishnamurthy, Raghu

    2015-12-14

    A severe challenge in controlling wind turbines is ensuring controller performance in the presence of a stochastic and unknown wind field, relying on the response of the turbine to generate control actions. Recent technologies such as LIDAR, allow sensing of the wind field before it reaches the rotor. In this work a field-testing campaign to test LIDAR Assisted Control (LAC) has been undertaken on a 600-kW turbine using a fixed, five-beam LIDAR system. The campaign compared the performance of a baseline controller to four LACs with progressively lower levels of feedback using 35 hours of collected data.

  2. Wind Vision | Department of Energy

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

    Information Resources » Wind Vision Wind Vision Wind Vision About In support of the President's strategy to diversify our nation's clean energy mix, an elite team of researchers, academics, scientists, engineers, and wind industry experts revisited the findings of the Energy Department's 2008 20% Wind by 2030 report and built upon its findings to conceptualize a new vision for wind energy through 2050. The Wind Vision Report takes America's current installed wind power capacity across all

  3. Department of Energy Awards $43 Million to Spur Offshore Wind Energy, Wind Program Newsletter, September 2011 Edition (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2011-09-01

    EERE Wind Program Quarterly Newsletter - September 2011. In September, the U.S. Department of Energy announced that it will award $43 million over the next five years to 41 projects across 20 states to speed technical innovations, lower costs, and shorten the timeline for deploying offshore wind energy systems. The projects will advance wind turbine design tools and hardware, improve information about U.S. offshore wind resources, and accelerate the deployment of offshore wind by reducing market barriers such as supply chain development, transmission and infrastructure. The projects announced in September focus on approaches to advancing offshore technology and removing market barriers to responsible offshore wind energy deployment. Funding is subject to Congressional appropriations.

  4. Wind energy bibliography

    SciTech Connect (OSTI)

    1995-05-01

    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.

  5. WINDExchange: Residential-Scale 30-Meter Wind Maps

    Wind Powering America (EERE)

    Residential-Scale 30-Meter Wind Maps The U.S. Department of Energy provides 30-meter (m) height, high-resolution wind resource maps for the United States. Businesses, farms, and homeowners use residential-scale wind resource maps to identify wind sites that may be appropriate for small-scale wind projects. A wind resource map of the United States. Go to the California wind resource map. Go to the Washington wind resource map. Go to the Oregon wind resource map. Go to the Idaho wind resource map.

  6. NREL: Renewable Resource Data Center - Webmaster

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

    Printable Version RReDC Home Biomass Resource Information Geothermal Resource Information Solar Resource Information Wind Resource Information Did you find what you needed? Yes 1...

  7. Probability density function characterization for aggregated large-scale wind power based on Weibull mixtures

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

    Gomez-Lazaro, Emilio; Bueso, Maria C.; Kessler, Mathieu; Martin-Martinez, Sergio; Zhang, Jie; Hodge, Bri -Mathias; Molina-Garcia, Angel

    2016-02-02

    Here, the Weibull probability distribution has been widely applied to characterize wind speeds for wind energy resources. Wind power generation modeling is different, however, due in particular to power curve limitations, wind turbine control methods, and transmission system operation requirements. These differences are even greater for aggregated wind power generation in power systems with high wind penetration. Consequently, models based on one-Weibull component can provide poor characterizations for aggregated wind power generation. With this aim, the present paper focuses on discussing Weibull mixtures to characterize the probability density function (PDF) for aggregated wind power generation. PDFs of wind power datamore » are firstly classified attending to hourly and seasonal patterns. The selection of the number of components in the mixture is analyzed through two well-known different criteria: the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). Finally, the optimal number of Weibull components for maximum likelihood is explored for the defined patterns, including the estimated weight, scale, and shape parameters. Results show that multi-Weibull models are more suitable to characterize aggregated wind power data due to the impact of distributed generation, variety of wind speed values and wind power curtailment.« less

  8. Wind energy: Program overview, FY 1992

    SciTech Connect (OSTI)

    Not Available

    1993-06-01

    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.

  9. Workforce Development Wind Projects | Department of Energy

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

    Workforce Development Wind Projects Workforce Development Wind Projects This report covers the Wind and Water Power Technologies Office's workforce development wind projects from fiscal years 2008 to 2014. PDF icon Workforce Development Wind Projects.pdf More Documents & Publications Testing, Manufacturing, and Component Development Projects Wind Integration, Transmission, and Resource Assessment and Characterization Projects Environmental Wind Projects

  10. NREL: Wind Research - Grid Integration of Offshore Wind

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

    Grid Integration of Offshore Wind Photograph of a wind turbine in the ocean. Located about 10 kilometers off the coast of Arklow, Ireland, the Arklow Bank offshore wind park consists of seven GE Wind 3.6-MW wind turbines. Much can be learned from the existing land-based integration research for handling the variability and uncertainty of the wind resource. Integration and Transmission One comprehensive grid integration study is the Eastern Wind Integration and Transmission Study (EWITS), in

  11. WINDExchange: Collegiate Wind Competition

    Wind Powering America (EERE)

    Education Printable Version Bookmark and Share Workforce Development Collegiate Wind Competition Wind for Schools Project School Project Locations Education & Training Programs Curricula & Teaching Materials Resources Collegiate Wind Competition The U.S. Department of Energy (DOE) Collegiate Wind Competition challenges interdisciplinary teams of undergraduate students from a variety of programs to offer a unique solution to a complex wind energy project; providing each student with

  12. 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.

    2014-02-01

    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.

  13. NREL: Dynamic Maps, GIS Data, and Analysis Tools - Wind Maps

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

    Additional Resources Wind Prospector A web-based GIS applications designed to support resource assessment and data exploration associated with wind development. Wind Maps NREL's Geospatial Data Science Team offers both a national wind resource assessment of the United States and high-resolution wind data. The national wind resource assessment was created for the U.S. Department of Energy in 1986 by the Pacific Northwest Laboratory and is documented in the Wind Energy Resource Atlas of the United

  14. Information Resources | Department of Energy

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

    Information Resources Information Resources Wind Vision Wind Vision The new Wind Vision Report quantifies the economic, environmental, and social benefits of a robust wind energy future through 2050. Read more The Inside of a Wind Turbine The Inside of a Wind Turbine See a detailed view of the inside of a wind turbine, its components, and learn about its functionality. Read more WINDExchange WINDExchange WINDExchange is a nationwide initiative to educate, engage, and enable critical stakeholders

  15. NREL: Wind Research - NREL's WIND Toolkit Provides the Data Needed...

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

    by the numerical model. Barometric pressure, wind speed and direction (at 100 m above ground level), relative humidity, temperature, and air density data are available via an...

  16. Comparing Pulsed Doppler LIDAR with SODAR and Direct Measurements for Wind Assessment

    SciTech Connect (OSTI)

    Kelley, N. D.; Jonkman, B. J.; Scott, G. N.; Pichugina, Y. L.

    2007-07-01

    There is a pressing need for good wind-speed measurements at greater and greater heights to assess the availability of the resource in terms of power production and to identify any frequently occurring atmospheric structural characteristics that may create turbulence that impacts the operational reliability and lifetime of wind turbines and their components. In this paper, we summarize the results of a short study that compares the relative accuracies of wind speeds derived from a high-resolution pulsed Doppler LIDAR operated by the National Oceanic and Atmospheric Administration (NOAA) and a midrange Doppler SODAR with wind speeds measured by four levels of tower-based sonic anemometry up to a height of 116 m.

  17. WINDExchange: Information Resources

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

    Information Resources A range of WINDExchange resources are available, including links to relevant publications, podcasts, and webinars about wind energy topics. Annual Reports Cover of the 2013 Wind Technologies Market Report. 2014 Wind Technologies Market Report The report provides a comprehensive overview of 2014 trends in the U.S. wind industry and wind power market. DOE's Lawrence Berkeley National Laboratory draws from a variety of data sources and covers a broad range of topics. Cover of

  18. Wind for Schools Funding Spreadsheet | Open Energy Information

    Open Energy Info (EERE)

    search Wind for Schools Portal Home Comparison Motion Chart Educational Resources Turbine Support Software & Downloads Wind Industry Careers Wind for Schools Funding...

  19. Wind Program Manufacturing Research Advances Processes and Reduces...

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

    The Wind Program's recent Taller Hub Heights to Access Higher Wind Resources and Lower the ... Energy Department Announces 2 Million to Support Manufacturing of Taller Wind Turbine ...

  20. Letter from the Wind Program Director | Department of Energy

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

    For example, new maps show that as wind turbine technology advances, areas with previously limited wind resources have the opportunity to add new wind power capacity using taller ...

  1. Property:SmallWindOrganizationName | Open Energy Information

    Open Energy Info (EERE)

    Name SmallWindOrganizationName Property Type Page Description Organization for Small Wind Resource Retrieved from "http:en.openei.orgwindex.php?titleProperty:SmallWindOr...

  2. Minneapolis, Minnesota: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    formerly Romuld Wind Consulting Natural Resource Group Navitas Energy Inc Project Resources Corporation Sunnyside Technologies Inc Superior Process Technology Inc...

  3. DOE Announces Webinars on an Offshore Wind Economic Impacts Model...

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

    Wind Economic Impacts Model, Resources for Tribal Energy Efficiency Projects, and More DOE Announces Webinars on an Offshore Wind Economic Impacts Model, Resources for ...

  4. Small Wind Site Assessment Guidelines

    SciTech Connect (OSTI)

    Olsen, Tim; Preus, Robert

    2015-09-01

    Site assessment for small wind energy systems is one of the key factors in the successful installation, operation, and performance of a small wind turbine. A proper site assessment is a difficult process that includes wind resource assessment and the evaluation of site characteristics. These guidelines address many of the relevant parts of a site assessment with an emphasis on wind resource assessment, using methods other than on-site data collection and creating a small wind site assessment report.

  5. 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; Kuuskraa, Vello; Billingsley, Randy

    2003-02-28

    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 GSAMs databases was the poor representation of the vast resource believed to exist in low-permeability sandstone accumulations in western U.S. basins. The models 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.

  6. Wind Program | Department of Energy

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

    Wind Program Innovative Study Helps Protect Wildlife Innovative Study Helps Protect Wildlife Thanks to a first-of-its-kind in-depth study of wildlife distribution and movements, the nation's Eastern Seaboard is better prepared than ever for offshore wind energy. Read more New Wind Technology Resource Center Launched New Wind Technology Resource Center Launched The Energy Department recently announced the launch of its new, user-friendly online information resources portal that provides a central

  7. Analysis of Precipitation (Rain and Snow) Levels and Straight-line Wind Speeds in Support of the 10-year Natural Phenomena Hazards Review for Los Alamos National Laboratory

    SciTech Connect (OSTI)

    Kelly, Elizabeth J.; Dewart, Jean Marie; Deola, Regina

    2015-12-10

    This report provides site-specific return level analyses for rain, snow, and straight-line wind extreme events. These analyses are in support of the 10-year review plan for the assessment of meteorological natural phenomena hazards at Los Alamos National Laboratory (LANL). These analyses follow guidance from Department of Energy, DOE Standard, Natural Phenomena Hazards Analysis and Design Criteria for DOE Facilities (DOE-STD-1020-2012), Nuclear Regulatory Commission Standard Review Plan (NUREG-0800, 2007) and ANSI/ ANS-2.3-2011, Estimating Tornado, Hurricane, and Extreme Straight-Line Wind Characteristics at Nuclear Facility Sites. LANL precipitation and snow level data have been collected since 1910, although not all years are complete. In this report the results from the more recent data (19902014) are compared to those of past analyses and a 2004 National Oceanographic and Atmospheric Administration report. Given the many differences in the data sets used in these different analyses, the lack of statistically significant differences in return level estimates increases confidence in the data and in the modeling and analysis approach.

  8. ERCOT Wind Scraper | Open Energy Information

    Open Energy Info (EERE)

    Wind Resource Type: Softwaremodeling tools User Interface: Desktop Application Website: web.ecs.baylor.edufacultygrady OpenEI Keyword(s): Community Generated ERCOT Wind Scraper...

  9. Guide to Small Wind Energy Systems

    SciTech Connect (OSTI)

    2010-10-01

    Wind is one of the great renewable energy resources on the planet because it is in limitless supply. Using wind energy to generate electricity can have environmental benefits.

  10. Southwest Mesa Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer Cielo Wind Power Energy Purchaser American Electric Power Location McCamey TX Coordinates...

  11. Environmental Wind Projects | Department of Energy

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

    Wind Projects Environmental Wind Projects This report covers the Wind and Water Power Technologies Office's environmental wind projects from fiscal years 2006 to 2015. PDF icon Environmental Projects Report 2006-2015 More Documents & Publications Testing, Manufacturing, and Component Development Projects Wind Integration, Transmission, and Resource Assessment and Characterization Projects Offshore Wind Projects

  12. Offshore Wind Projects | Department of Energy

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

    Projects Offshore Wind Projects This report covers the Wind and Water Power Program's offshore wind energy projects from fiscal years 2006 to 2015. PDF icon Offshore Wind Projects 2006-2015 More Documents & Publications Wind Integration, Transmission, and Resource Assessment and Characterization Projects Testing, Manufacturing, and Component Development Projects Environmental Wind Projects

  13. Final Project Report, Bristol Bay Native Corporation Wind and Hydroelectric Feasibility Study

    SciTech Connect (OSTI)

    Vaught, Douglas J.

    2007-03-31

    The Bristol Bay Native Corporation (BBNC) grant project focused on conducting nine wind resource studies in eight communities in the Bristol Bay region of southwest Alaska and was administered as a collaborative effort between BBNC, the Alaska Energy Authority, Alaska Village Electric Cooperative, Nushagak Electric Cooperative (NEC), Naknek Electric Association (NEA), and several individual village utilities in the region. BBNCs technical contact and the project manager for this study was Douglas Vaught, P.E., of V3 Energy, LLC, in Eagle River, Alaska. The Bristol Bay region of Alaska is comprised of 29 communities ranging in size from the hub community of Dillingham with a population of approximately 3,000 people, to a few Native Alaska villages that have a few tens of residents. Communities chosen for inclusion in this project were Dillingham, Naknek, Togiak, New Stuyahok, Kokhanok, Perryville, Clarks Point, and Koliganek. Selection criteria for conduction of wind resource assessments in these communities included population and commercial activity, utility interest, predicted Class 3 or better wind resource, absence of other sources of renewable energy, and geographical coverage of the region. Beginning with the first meteorological tower installation in October 2003, wind resource studies were completed at all sites with at least one year, and as much as two and a half years, of data. In general, the study results are very promising for wind power development in the region with Class 6 winds measured in Kokhanok; Class 4 winds in New Stuyahok, Clarks Point, and Koliganek; Class 3 winds in Dillingham, Naknek, and Togiak; and Class 2 winds in Perryville. Measured annual average wind speeds and wind power densities at the 30 meter level varied from a high of 7.87 meters per second and 702 watts per square meter in Kokhanok (Class 6 winds), to a low of 4.60 meters per second and 185 watts per square meter in Perryville (Class 2 winds).

  14. Wind energy information guide

    SciTech Connect (OSTI)

    1996-04-01

    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.

  15. Aleutian Pribilof Islands Wind Energy Feasibility Study

    SciTech Connect (OSTI)

    Bruce A. Wright

    2012-03-27

    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.

  16. Wind Energy at NREL's National Wind Technology Center

    ScienceCinema (OSTI)

    None

    2013-05-29

    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.

  17. Wind Energy Basics | Department of Energy

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

    Information Resources » Wind Energy Basics Wind Energy Basics Wind Energy Basics Once called windmills, the technology used to harness the power of wind has advanced significantly over the past ten years, with the United States increasing its wind power capacity 30% year over year. Wind turbines, as they are now called, collect and convert the kinetic energy that wind produces into electricity to help power the grid. Wind energy is actually a byproduct of the sun. The sun's uneven heating of

  18. Methods and apparatus for reducing peak wind turbine loads

    DOE Patents [OSTI]

    Moroz, Emilian Mieczyslaw

    2007-02-13

    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.

  19. ARM - Measurement - Horizontal wind

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

    govMeasurementsHorizontal wind ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Measurement : Horizontal wind The horizontal wind in terms of either speed and direction, or the zonal (u) and meridional (v) components. Categories Atmospheric State Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a

  20. Collegiate Wind Competition Wind Tunnel Specifications | Department...

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

    Collegiate Wind Competition Wind Tunnel Specifications Collegiate Wind Competition Wind Tunnel Specifications Collegiate Wind Competition Wind Tunnel Specifications Teams competing...

  1. Quadrennial Technology Review 2015: Technology Assessments--Wind Power

    SciTech Connect (OSTI)

    none,

    2015-10-07

    Wind power has become a mainstream power source in the U.S. electricity portfolio, supplying 4.9% of the nation’s electricity demand in 2014. With more than 65 GW installed across 39 states at the end of 2014, utility-scale wind power is a cost-effective source of low-emissions power generation throughout much of the nation. The United States has significant sustainable land-based and offshore wind resource potential, greater than 10 times current total U.S. electricity consumption. A technical wind resource assessment conducted by the Department of Energy (DOE) in 2009 estimated that the land-based wind energy potential for the contiguous United States is equivalent to 10,500 GW capacity at 80 meters (m) hub and 12,000 GW capacity at 100 meters (m) hub heights, assuming a capacity factor of at least 30%. A subsequent 2010 DOE report estimated the technical offshore wind energy potential to be 4,150 GW. The estimate was calculated from the total offshore area within 50 nautical miles of shore in areas where average annual wind speeds are at least 7 m per second at a hub height of 90 m.

  2. WindLogics Inc | Open Energy Information

    Open Energy Info (EERE)

    Product: WindLogics provides wind resource analysis and long-period variability forecasting services. References: WindLogics Inc1 This article is a stub. You can help OpenEI...

  3. Career Map: Resource Scientist | Department of Energy

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

    Resource Scientist Career Map: Resource Scientist The silhouette of a resource scientist as they stand in front of a large projection of a wind simulation. Resource Scientist Position Title Resource Scientist Alternate Title(s) Atmospheric Scientist, Meteorologist, Wind Resource Engineer, Wind Resource Analyst, Site Engineer Education & Training Level Advanced, bachelor's required, prefer graduate degree Education & Training Level Description Resource scientists need a bachelor's degree

  4. Renewable Resource Standard

    Broader source: Energy.gov [DOE]

    Eligible Technologies Eligible renewable resources include wind; solar; geothermal; existing hydroelectric projects (10 megawatts or less); certain new hydroelectric projects (up to 15 megawatts...

  5. WindSENSE Project Summary: FY2009-2011

    SciTech Connect (OSTI)

    Kamath, C

    2011-09-25

    Renewable resources, such as wind and solar, are providing an increasingly larger percentage of our energy needs. To successfully integrate these intermittent resources into the power grid while maintaining its reliability, we need to better understand the characteristics and predictability of the variability associated with these power generation resources. WindSENSE, a three year project at Lawrence Livermore National Laboratory, considered the problem of scheduling wind energy on the grid from the viewpoint of the control room operator. Our interviews with operators at Bonneville Power Administration (BPA), Southern California Edison (SCE), and California Independent System Operator (CaISO), indicated several challenges to integrating wind power generation into the grid. As the percentage of installed wind power has increased, the variable nature of the generation has become a problem. For example, in the Bonneville Power Administration (BPA) balancing area, the installed wind capacity has increased from 700 MW in 2006-2007 to over 1300 MW in 2008 and more than 2600 MW in 2009. To determine the amount of energy to schedule for the hours ahead, operators typically use 0-6 hour ahead forecasts, along with the actual generation in the previous hours and days. These forecasts are obtained from numerical weather prediction (NWP) simulations or based on recent trends in wind speed in the vicinity of the wind farms. However, as the wind speed can be difficult to predict, especially in a region with complex terrain, the forecasts can be inaccurate. Complicating matters are ramp events, where the generation suddenly increases or decreases by a large amount in a short time (Figure 1, right panel). These events are challenging to predict, and given their short duration, make it difficult to keep the load and the generation balanced. Our conversations with BPA, SCE, and CaISO indicated that control room operators would like (1) more accurate wind power generation forecasts for use in scheduling and (2) additional information that can be exploited when the forecasts do not match the actual generation. To achieve this, WindSENSE had two areas of focus: (1) analysis of historical data for better insights, and (2) observation targeting for improved forecasts. The goal was to provide control room operators with an awareness of wind conditions and energy forecasts so they can make well-informed scheduling decisions, especially in the case of extreme events such as ramps.

  6. Wind Energy Community Acceptance | Open Energy Information

    Open Energy Info (EERE)

    Wind Energy Community Acceptance Jump to: navigation, search Photo by Dennis Schroeder, NREL 21768 The following resources address community acceptance topics. Resources...

  7. Barlovento Natural Resources | Open Energy Information

    Open Energy Info (EERE)

    Name: Barlovento Natural Resources Place: Logrono, Spain Zip: 26005 Sector: Solar, Wind energy Product: Technical consulting in the wind and solar energy sector. Coordinates:...

  8. Portland, Oregon: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    (Oregon) First Wind (Formerly UPC Wind) (Oregon) Green Electronics Council Green Empowerment Greenwood Resources Iberdrola Renewables Iberdrola Renewables formerly PPM Energy...

  9. Wind farm electrical system

    DOE Patents [OSTI]

    Erdman, William L.; Lettenmaier, Terry M.

    2006-07-04

    An approach to wind farm design using variable speed wind turbines with low pulse number electrical output. The output of multiple wind turbines are aggregated to create a high pulse number electrical output at a point of common coupling with a utility grid network. Power quality at each individual wind turbine falls short of utility standards, but the aggregated output at the point of common coupling is within acceptable tolerances for utility power quality. The approach for aggregating low pulse number electrical output from multiple wind turbines relies upon a pad mounted transformer at each wind turbine that performs phase multiplication on the output of each wind turbine. Phase multiplication converts a modified square wave from the wind turbine into a 6 pulse output. Phase shifting of the 6 pulse output from each wind turbine allows the aggregated output of multiple wind turbines to be a 24 pulse approximation of a sine wave. Additional filtering and VAR control is embedded within the wind farm to take advantage of the wind farm's electrical impedence characteristics to further enhance power quality at the point of common coupling.

  10. Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-04-01

    This fact sheet outlines the top 10 benefits of wind energy, including cost, water savings, job creation, indigenous resource, and low operating costs.

  11. Analysis of the effects of integrating wind turbines into a conventional utility: a case study. Revised final report

    SciTech Connect (OSTI)

    Goldenblatt, M.K.; Wegley, H.L.; Miller, A.H.

    1983-03-01

    The impact on a utility incorporating wind turbine generation due to wind speed sampling frequency, wind turbine performance model, and wind speed forecasting accuracy is examined. The utility analyzed in this study was the Los Angeles Department of Water and Power, and the wind turbine assumed was the MOD-2. The sensitivity of the economic value of wind turbine generation to wind speed sampling frequency and wind turbine modeling technique is examined as well as the impact of wind forecasting accuracy on utility operation and production costs. Wind speed data from San Gorgonio Pass, California during 1979 are used to estimate wind turbine performance using four different simulation methods. (LEW)

  12. Analysis of the effects of integrating wind turbines into a conventional utility: a case study. Final report

    SciTech Connect (OSTI)

    Goldenblatt, M.K.; Wegley, H.L.; Miller, A.H.

    1982-08-01

    The impact on a utility incorporating wind turbine generation due to wind speed sampling frequency, wind turbine performance model, and wind speed forecasting accuracy is examined. The utility analyzed in the study was the Los Angeles Department of Water and Power and the wind turbine assumed was the MOD-2. The sensitivity of the economic value of wind turbine generation to wind speed sampling frequency and wind turbine modeling technique is examined as well as the impact of wind forecasting accuracy on utility operation and production costs. Wind speed data from San Gorgonio Pass, California during 1979 are used to estimate wind turbine performance using four different simulation methods. (LEW)

  13. WINDExchange: Wind for Schools Project

    Wind Powering America (EERE)

    Participant Roles & Responsibilities Affiliate Projects Pilot Project Results Project Funding School Project Locations Education & Training Programs Curricula & Teaching Materials Resources Wind for Schools Project The U.S. Department of Energy funds the Wind for Schools project, which helps develop a future wind energy workforce by engaging students at higher education institutions to join Wind Application Centers and serve as project consultants for small wind turbine

  14. Cherokee Nation Enterprises - Wind Development

    Office of Environmental Management (EM)

    Businesses Tribal Energy Program 2008 November 18, 2008 HEROKEE C N E R G ATION NERGY by ENEWABLE ENERATION Wind Farm Project Location Wind Speeds Measured for 4 Years at Chilocco. . . Class III Commercial Wind! ROI in less than 6 years $672+ Million Net Income for 25 yrs. ONLY if we own 100% Precise Project Management *Vendor Reliability *Knowledgeable Personnel *Timetables and Schedule Mgmt. Risk Management Risk Management Risk Management Investment vs. Expenses (Revenue for 2007) GAMING WIND

  15. Wind Energy Benefits (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2015-01-01

    This fact sheet outlines the top 10 benefits of wind energy, including cost, water savings, job creation, indigenous resource, and low operating costs.

  16. West Winds Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Winds Wind Farm Jump to: navigation, search Name West Winds Wind Farm Facility West Winds Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  17. Featured Publications from the Bats and Wind Energy Cooperative |

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

    Department of Energy Featured Publications from the Bats and Wind Energy Cooperative Featured Publications from the Bats and Wind Energy Cooperative Since its formation in 2003, the Bats and Wind Energy Cooperative (BWEC) has been engaged in numerous research activities funded by DOE's National Renewable Energy Laboratory, including studies assessing the impact of altering the cut-in-speed of wind turbines (the minimum wind speed at which wind turbines begin producing power), and the use of

  18. Aleutian Pribilof Islands Association - Wind Energy Development

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

    ... SAND POINT Population 951 Aleutian Pribilof Islands Association, Inc. Average Annual Wind Speed is 20 mph John Lyons, Justin Godbehere and Art Torres at Sand Point Generating, Inc. ...

  19. 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.

  20. Characterization of winds through the rotor plane using a phased array SODAR and recommendations for future work.

    SciTech Connect (OSTI)

    Deola, Regina Anne

    2010-02-01

    Portable remote sensing devices are increasingly needed to cost effectively characterize the meteorology at a potential wind energy site as the size of modern wind turbines increase. A short term project co-locating a Sound Detection and Ranging System (SODAR) with a 200 meter instrumented meteorological tower at the Texas Tech Wind Technology Field Site was performed to collect and summarize wind information through an atmospheric layer typical of utility scale rotor plane depths. Data collected identified large speed shears and directional shears that may lead to unbalanced loads on the rotors. This report identifies suggestions for incorporation of additional data in wind resource assessments and a few thoughts on the potential for using a SODAR or SODAR data to quantify or investigate other parameters that may be significant to the wind industry.

  1. Active control system for high speed windmills

    DOE Patents [OSTI]

    Avery, Don E. (45-437 Akimala St., Honolulu, HI 96744)

    1988-01-01

    A pump stroke is matched to the operating speed of a high speed windmill. The windmill drives a hydraulic pump for a control. Changes in speed of a wind driven shaft open supply and exhaust valves to opposite ends of a hydraulic actuator to lengthen and shorten an oscillating arm thereby lengthening and shortening the stroke of an output pump. Diminishing wind to a stall speed causes the valves to operate the hydraulic cylinder to shorten the oscillating arm to zero. A pressure accumulator in the hydraulic system provides the force necessary to supply the hydraulic fluid under pressure to drive the actuator into and out of the zero position in response to the windmill shaft speed approaching and exceeding windmill stall speed.

  2. Active control system for high speed windmills

    DOE Patents [OSTI]

    Avery, D.E.

    1988-01-12

    A pump stroke is matched to the operating speed of a high speed windmill. The windmill drives a hydraulic pump for a control. Changes in speed of a wind driven shaft open supply and exhaust valves to opposite ends of a hydraulic actuator to lengthen and shorten an oscillating arm thereby lengthening and shortening the stroke of an output pump. Diminishing wind to a stall speed causes the valves to operate the hydraulic cylinder to shorten the oscillating arm to zero. A pressure accumulator in the hydraulic system provides the force necessary to supply the hydraulic fluid under pressure to drive the actuator into and out of the zero position in response to the windmill shaft speed approaching and exceeding windmill stall speed. 4 figs.

  3. WINDExchange Wind Energy Benefits Fact Sheet | Department of Energy

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

    WINDExchange Wind Energy Benefits Fact Sheet WINDExchange Wind Energy Benefits Fact Sheet Learn more about wind energy! This fact sheet outlines the top 10 benefits of wind energy, including cost, water savings, job creation, indigenous resource, and pervasive deployment. PDF icon WINDExchange Wind Energy Benefits Fact Sheet More Documents & Publications Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power Program (WWPP) 2014 Distributed Wind Market Report

  4. Small Wind Information (Postcard)

    SciTech Connect (OSTI)

    Not Available

    2011-08-01

    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.

  5. Wind Program Accomplishments

    SciTech Connect (OSTI)

    Wind Program

    2012-05-24

    This fact sheet describes some of the accomplishments of DOE's Wind Program through its investments in technology development and market barrier reduction, and how those accomplishments are supporting the advancement of renewable energy generated using the United States' abundant wind resources.

  6. Viability of Small Wind Distributed Generation for Farmers Who Irrigate (Poster)

    SciTech Connect (OSTI)

    Meadows, B.; Forsyth, T.; Johnson, S.; Healow, D.

    2010-05-01

    About 14% of U.S. farms are irrigated, representing 55 million acres of irrigated land. Irrigation on these farms is a major energy user in the United States, accounting for one-third of water withdrawals and 137 billion gallons per day. More than half of the Irrigation systems use electric energy. Wind energy can be a good choice for meeting irrigation energy needs. Nine of the top 10 irrigation states (California, Texas, Idaho, Arkansas, Colorado, Nebraska, Arizona, Kansas, Washington, and Oregon) have good to excellent wind resources. Many rural areas have sufficient wind speeds to make wind an attractive alternative, and farms and ranches can often install a wind energy system without impacting their ability to plant crops and graze livestock. Additionally, the rising and uncertain future costs of diesel, natural gas, and even electricity increase the potential effectiveness for wind energy and its predictable and competitive cost. In general, wind-powered electric generation systems generate more energy in the winter months than in the summer months when most crops need the water. Therefore, those states that have a supportive net metering policy can dramatically impact the viability of an onsite wind turbine. This poster presentation highlights case studies that show favorable and unfavorable policies that impact the growth of small wind in this important sector and demonstrate how net metering policies affect the viability of distributed wind generation for farmers who irrigate.

  7. See the Wind | Department of Energy

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

    See the Wind See the Wind Below is information about the student activity/lesson plan from your search. Grades 5-8, 9-12 Subject Wind Energy Summary The goal of this activity is to help students see the difference in the speed and smoothness of the wind at different altitudes above the earth. This is important for wind engineers as they seek to place their wind turbines in the fastest and smoothest winds possible. It is also a major reason that wind turbines are getting larger and higher in the

  8. Wind Power: Options for Industry

    SciTech Connect (OSTI)

    Not Available

    2003-03-01

    This six-page brochure outlines ways for industry to integrate wind power, including assessing wind power, building wind farms, using a developer, capitalizing on technology, enhancing the corporate image, and preparing RFPs. Company examples and information resources are also provided.

  9. Wind Energy Information Guide 2004

    SciTech Connect (OSTI)

    anon.

    2004-01-01

    The guide provides a list of contact information and Web site addresses for resources that provide a range of general and technical information about wind energy, including general information, wind and renewable energy, university programs and research institutes, international wind energy associations and others.

  10. Wind Integration

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

    Wind Generation - ScheduledActual Balancing Reserves - Deployed Near Real-time Wind Animation Wind Projects under Review Growth Forecast Fact Sheets Working together to address...

  11. WINDExchange: Community-Scale 50-Meter Wind Maps

    Wind Powering America (EERE)

    Community-Scale 50-Meter Wind Maps The U.S. Department of Energy provides 50-meter (m) height, high-resolution wind resource maps for most of the states and territories of Puerto Rico and the Virgin Islands in the United States. Counties, towns, utilities, and schools use community-scale wind resource maps to locate and quantify the wind resource, identifying potentially windy sites determining a potential site's economic and technical viability. Map of the updated wind resource assessment

  12. Indian Mesa Wind Farm I | Open Energy Information

    Open Energy Info (EERE)

    Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer National Wind Power; Orion Energy Energy Purchaser TXU Electric & Gas- Lower Colorado...

  13. The Economics of Wind Energy | Open Energy Information

    Open Energy Info (EERE)

    Organization: European Wind Energy Association Sector: Energy Focus Area: Renewable Energy, Wind Topics: Market analysis Resource Type: Publications Website: www.ewea.org...

  14. Offshore Wind Market Acceleration Projects | Department of Energy

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

    of offshore wind technology research, development, and demonstration projects. Offshore Wind Energy Resources and the Environment Establishing environmental parameters is an...

  15. Office of Information Resources | Department of Energy

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

    Meeting, May 22, 2008 PDF icon Office of Information Resources More Documents & Publications CERTIFICATE OF AUTHENTICITY Office of Information Resources U.S. Offshore Wind Advanced Technology Demonstration Projects Public Meeting Transcript for Offshore Wind Demonstrations

  16. Simulation of winds as seen by a rotating vertical axis wind turbine blade

    SciTech Connect (OSTI)

    George, R.L.

    1984-02-01

    The objective of this report is to provide turbulent wind analyses relevant to the design and testing of Vertical Axis Wind Turbines (VAWT). A technique was developed for utilizing high-speed turbulence wind data from a line of seven anemometers at a single level to simulate the wind seen by a rotating VAWT blade. Twelve data cases, representing a range of wind speeds and stability classes, were selected from the large volume of data available from the Clayton, New Mexico, Vertical Plane Array (VPA) project. Simulations were run of the rotationally sampled wind speed relative to the earth, as well as the tangential and radial wind speeds, which are relative to the rotating wind turbine blade. Spectral analysis is used to compare and assess wind simulations from the different wind regimes, as well as from alternate wind measurement techniques. The variance in the wind speed at frequencies at or above the blade rotation rate is computed for all cases, and is used to quantitatively compare the VAWT simulations with Horizontal Axis Wind Turbine (HAWT) simulations. Qualitative comparisons are also made with direct wind measurements from a VAWT blade.

  17. Prairie Winds Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wind Farm Jump to: navigation, search Name Prairie Winds Wind Farm Facility Prairie Winds Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner...

  18. Wind Powering America Podcasts, Wind Powering America (WPA)

    SciTech Connect (OSTI)

    Not Available

    2012-04-01

    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.

  19. The Wind Integration National Dataset (WIND) toolkit (Presentation)

    SciTech Connect (OSTI)

    Caroline Draxl: NREL

    2014-01-01

    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.

  20. Generation Resources Holding Co | Open Energy Information

    Open Energy Info (EERE)

    Resources Holding Co Jump to: navigation, search Name: Generation Resources Holding Co Place: Leawood, Kansas Zip: 66211-2607 Sector: Renewable Energy, Wind energy Product:...

  1. WINDExchange: Agricultural and Rural Resources and Tools

    Wind Powering America (EERE)

    Rural Communities Printable Version Bookmark and Share Wind for Homeowners, Farmers, & Businesses Resources & Tools Agricultural and Rural Resources and Tools This page lists...

  2. Wind Energy for Native Americans

    Energy Savers [EERE]

    for Native Americans Wind Energy for Native Americans Larry Flowers Larry Flowers Golden, CO Golden, CO November 20, 2003 November 20, 2003 Native American Wind Native American Wind Development Development * NA wind resources * On-site loads vs. export * Investment vs. private developer royalties * Tribal utility business development policies * Transmission constraints vs. green tags opportunity * Tax advantages/limitations * (perceived) Private sector development risk * Federal load

  3. Offshore Wind Research and Development | Department of Energy

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

    Research & Development » Offshore Wind Research and Development Offshore Wind Research and Development The offshore wind projects map provides information about progress around the country. The offshore wind projects map provides information about progress around the country. The U.S. Department of Energy's Wind Program funds research nationwide to develop and deploy offshore wind technologies that can capture wind resources off the coasts of the United States and convert that wind into

  4. New Funding Opportunity to Develop Larger Wind Turbine Blades

    Broader source: Energy.gov [DOE]

    The Energy Department today announced $1.8 million in funding for the development of larger wind turbine blades that will help capture more power from wind resources and increase the efficiency of wind energy systems.

  5. Wind Power Technologies Program At-A-Glance

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

    energy projects, with a focus on U.S. offshore wind. Reduction of Market Barriers ... the complex fow of the resource in wind farms to increase wind farm energy capture, ...

  6. Upcoming Funding Opportunity to Develop Larger Wind Turbine Blades

    Broader source: Energy.gov [DOE]

    On February 20, EERE’s Wind Program announced a Notice of Intent to issue a funding opportunity titled “U.S. Wind Manufacturing: Larger Blades to Access Greater Wind Resources and Lower Costs.”

  7. 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.

    2013-10-01

    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.

  8. Updated Eastern Interconnect Wind Power Output and Forecasts for ERGIS: July 2012

    SciTech Connect (OSTI)

    Pennock, K.

    2012-10-01

    AWS Truepower, LLC (AWST) was retained by the National Renewable Energy Laboratory (NREL) to update wind resource, plant output, and wind power forecasts originally produced by the Eastern Wind Integration and Transmission Study (EWITS). The new data set was to incorporate AWST's updated 200-m wind speed map, additional tall towers that were not included in the original study, and new turbine power curves. Additionally, a primary objective of this new study was to employ new data synthesis techniques developed for the PJM Renewable Integration Study (PRIS) to eliminate diurnal discontinuities resulting from the assimilation of observations into mesoscale model runs. The updated data set covers the same geographic area, 10-minute time resolution, and 2004?2006 study period for the same onshore and offshore (Great Lakes and Atlantic coast) sites as the original EWITS data set.

  9. Wind Gallery | Department of Energy

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

    Gallery Wind Gallery Addthis 1 of 17 Tower: 2 of 17 Tower: Made from tubular steel (shown here), concrete, or steel lattice. Supports the structure of the turbine. Because wind speed increases with height, taller towers enable turbines to capture more energy and generate more electricity. Generator: 3 of 17 Generator: Produces 60-cycle AC electricity; it is usually an off-the-shelf induction generator. High-speed shaft: 4 of 17 High-speed shaft: Drives the generator. Nacelle: 5 of 17 Nacelle:

  10. 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.

    2012-02-01

    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.

  11. Airborne Wind Turbine

    SciTech Connect (OSTI)

    2010-09-01

    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. Texas's 4th congressional district: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Inc AEP Wind Energy LLC ASAlliances Biofuels Defunct AT T Inc American Renewable Fuels Biodiesel Investment Group Biomass Energy Resources BroadStar Wind Systems Catalyst...

  13. Texas's 30th congressional district: Energy Resources | Open...

    Open Energy Info (EERE)

    Inc AEP Wind Energy LLC ASAlliances Biofuels Defunct AT T Inc American Renewable Fuels Biodiesel Investment Group Biomass Energy Resources BroadStar Wind Systems Catalyst...

  14. Texas's 32nd congressional district: Energy Resources | Open...

    Open Energy Info (EERE)

    Inc. AEP Wind Energy LLC ASAlliances Biofuels Defunct AT T Inc American Renewable Fuels Biodiesel Investment Group Biomass Energy Resources BroadStar Wind Systems Catalyst...

  15. Texas's 5th congressional district: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Inc AEP Wind Energy LLC ASAlliances Biofuels Defunct AT T Inc American Renewable Fuels Biodiesel Investment Group Biomass Energy Resources BroadStar Wind Systems Catalyst...

  16. Texas's 3rd congressional district: Energy Resources | Open Energy...

    Open Energy Info (EERE)

    Inc. AEP Wind Energy LLC ASAlliances Biofuels Defunct AT T Inc American Renewable Fuels Biodiesel Investment Group Biomass Energy Resources BroadStar Wind Systems Catalyst...

  17. 20% Wind Energy by 2030 - Chapter 3: Manufacturing, Materials...

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

    3: Manufacturing, Materials, and Resources Summary Slides 20% Wind Energy by 2030 - Chapter 3: Manufacturing, Materials, and Resources Summary Slides Summary Slides for Chapter 3: ...

  18. Community Wind Handbook/Submit Permit Applications | Open Energy...

    Open Energy Info (EERE)

    Costs * Research Local Incentive Programs * Understand Your Wind Resource * Research Turbine Models * Calculate Simple Payback * Understand Preliminary Siting * Understand...

  19. Community Wind Handbook/Engage with Neighbors | Open Energy Informatio...

    Open Energy Info (EERE)

    Costs * Research Local Incentive Programs * Understand Your Wind Resource * Research Turbine Models * Calculate Simple Payback * Understand Preliminary Siting * Understand...

  20. 20% Wind Energy by 2030 - Chapter 3: Manufacturing, Materials, and

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

    Resources Summary Slides | Department of Energy 3: Manufacturing, Materials, and Resources Summary Slides 20% Wind Energy by 2030 - Chapter 3: Manufacturing, Materials, and Resources Summary Slides Summary Slides for Chapter 3: Manufacturing, Material Resources, and Impacts on the Nation's Economy PDF icon 20percent_summary_chap3.pdf More Documents & Publications 20% Wind Energy by 2030 - Chapter 2: Wind Turbine Technology Summary Slides 20% Wind Energy by 2030 - Chapter 1: Executive

  1. Lower Sioux Wind Feasibility & Development

    SciTech Connect (OSTI)

    Minkel, Darin

    2012-04-01

    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.

  2. Wind Energy

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

    Wind Energy - CompositeTesting-BNaughton Permalink Gallery New report highlights key composite testing trends for more reliable and lower cost wind blade designs News, Partnership, Publications, Renewable Energy, Research & Capabilities, Wind Energy, Wind News New report highlights key composite testing trends for more reliable and lower cost wind blade designs Sandia National Laboratories recently published "Analysis of SNL/MSU/DOE Fatigue Database Trends for Wind Turbine Blade

  3. Wind Powering America Initiative (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-01-01

    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.

  4. WINDExchange: U.S. Installed Wind Capacity

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

    Education Printable Version Bookmark and Share Workforce Development Collegiate Wind Competition Wind for Schools Project School Project Locations Education & Training Programs Curricula & Teaching Materials Resources Installed Wind Capacity This page has maps of the United States that show installed wind capacity by state and its progression. This map shows the installed wind capacity in megawatts. As of June 30, 2015, 67,870 megawatts have been installed. Alaska, 62 megawatts; Hawaii,

  5. Wind Turbine Basics | Department of Energy

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

    Turbine Basics Wind Turbine Basics July 30, 2013 - 2:58pm Addthis This video explains the basics of how wind turbines operate to produce clean power from an abundant, renewable resource-the wind. Text Version Wind turbine assembly Although all wind turbines operate on similar principles, several varieties are in use today. These include horizontal axis turbines and vertical axis turbines. Horizontal Axis Turbines Horizontal axis turbines are the most common turbine configuration used today. They

  6. wind energy

    National Nuclear Security Administration (NNSA)

    5%2A en Pantex to Become Wind Energy Research Center http:nnsa.energy.govfieldofficesnponpopressreleasespantex-become-wind-energy-research-center

  7. Wind Power Plant Prediction by Using Neural Networks: Preprint

    SciTech Connect (OSTI)

    Liu, Z.; Gao, W.; Wan, Y. H.; Muljadi, E.

    2012-08-01

    This paper introduces a method of short-term wind power prediction for a wind power plant by training neural networks based on historical data of wind speed and wind direction. The model proposed is shown to achieve a high accuracy with respect to the measured data.

  8. Advantages and Challenges of Wind Energy | Department of Energy

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

    Information Resources » Energy Basics » Advantages and Challenges of Wind Energy Advantages and Challenges of Wind Energy Advantages and Challenges of Wind Energy Wind energy offers many advantages, which explains why it's one of the fastest-growing energy sources in the world. Research efforts are aimed at addressing the challenges to greater use of wind energy. Read on to learn more about the benefits of wind power and some of the challenges it is working to overcome. Advantages of Wind

  9. Wind Spires as an Alternative Energy Source

    SciTech Connect (OSTI)

    Majid Rashidi, Ph.D., P.E.

    2012-10-30

    This report discloses the design and development of an innovative wind tower system having an axisymmetric wind deflecting structure with a plurality of symmetrically mounted rooftop size wind turbines near the axisymmetric structure. The purpose of the wind deflecting structure is to increase the ambient wind speed that in turn results in an overall increase in the power capacity of the wind turbines. Two working prototypes were constructed and installed in the summer of 2009 and 2012 respectively. The system installed in the Summer of 2009 has a cylindrical wind deflecting structure, while the tower installed in 2012 has a spiral-shape wind deflecting structure. Each tower has 4 turbines, each rated at 1.65 KW Name-Plate-Rating. Before fabricating the full-size prototypes, computational fluid dynamic (CFD) analyses and scaled-down table-top models were used to predict the performance of the full-scale models. The performance results obtained from the full-size prototypes validated the results obtained from the computational models and those of the scaled-down models. The second prototype (spiral configuration) showed at a wind speed of 11 miles per hour (4.9 m/s) the power output of the system could reach 1,288 watt, when a typical turbine installation, with no wind deflecting structure, could produce only 200 watt by the same turbines at the same wind speed. At a wind speed of 18 miles per hour (8 m/sec), the spiral prototype produces 6,143 watt, while the power generated by the same turbines would be 1,412 watt in the absence of a wind deflecting structure under the same wind speed. Four US patents were allowed, and are in print, as the results of this project (US 7,540,706, US 7,679,209, US 7,845,904, and US 8,002,516).

  10. Meyersdale Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer Atlantic Renewable Energy Energy Purchaser FirstEnergy Location...

  11. Waymart Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer Atlantic Renewable Energy Energy Purchaser Exelon Location Wayne...

  12. Community Wind Handbook | Open Energy Information

    Open Energy Info (EERE)

    * Engage with Neighbors * Conduct a Wind Resource Estimate * Research Interconnecting behind Your Meter * Research Project Economics & Financing * Select the Final Design &...

  13. Delaware Mountain Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Status In Service Owner NextEra Energy Resources Developer American National Wind PowerOrion Energy Energy Purchaser Lower Colorado River Authority Location Culberson County TX...

  14. Wind Turbine Blade Design | Department of Energy

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

    Wind Turbine Blade Design Wind Turbine Blade Design Below is information about the student activity/lesson plan from your search. Grades 5-8, 9-12 Subject Wind Energy Summary Blade engineering and design is one of the most complicated and important aspects of modern wind turbine technology. Engineers strive to design blades that extract as much energy from the wind as possible throughout a range of wind speeds and gusts, yet are still durable, quiet and cheap. A variety of ideas for building

  15. Software speeds detection of diseases and cancer-treatment targets

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

    Software speeds detection of diseases and cancer-treatment targets Alumni Link: Opportunities, News and Resources for Former Employees Latest Issue:September 2015 all issues All...

  16. Frequently Asked Questions about Wind Energy | Department of Energy

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

    about Wind Energy Frequently Asked Questions about Wind Energy This page lists frequently asked questions about wind energy. What is wind energy? How do wind turbines work? How much energy comes from wind in the United States? I would like to put up a wind turbine at my house or property. How do I get started? What is the wind resource like in my area? Is wind power more expensive than other forms of energy? What grants or incentives are available to defray the cost of a small wind electric

  17. South Carolina Opens Nation's Largest Wind Drivetrain Testing...

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

    the facility will help test and validate new turbines, particularly for offshore wind-helping to speed deployment of next generation energy technology, reduce costs for...

  18. Liquid Hydrogen Production and Delivery from a Dedicated Wind...

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

    fuel cell vehiclesday. The hydrogen would be delivered from a region in New Mexico near Albuquerque with high average wind speeds where the hydrogen is produced via electrolysis. ...

  19. WINDExchange: About Regional Resource Centers

    Wind Powering America (EERE)

    Deployment Activities Printable Version Bookmark and Share Regional Resource Centers About Economic Development Siting About Regional Resource Centers Significant expansion of wind energy deployment will be required to achieve the President's goal of doubling renewable energy production in the United States by 2020. Wind energy currently provides more than 4% of the nation's electricity but has the potential to provide much more. Increasing the country's percentage from wind power will mean

  20. NREL: Wind Research - Site Tours

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

    Site Tours Get the Adobe Flash Player to see this video. This is a simulated tour of the National Wind Technology Center showing its location in the state, elevation, and its facilities. Two site simulation tours of the National Wind Technology Center (NWTC) illustrate the NWTC's location, facilities, and wind resource. Site Simulation Showing Elevation This 40-second simulation begins with an overview of the entire state of Colorado, zooms in on the NWTC, and then flies around the site. This

  1. Geek-Up[3.25.2011]: Idaho Wind and Chlorosome-Inspired Solar | Department

    Office of Environmental Management (EM)

    of Energy 25.2011]: Idaho Wind and Chlorosome-Inspired Solar Geek-Up[3.25.2011]: Idaho Wind and Chlorosome-Inspired Solar March 25, 2011 - 5:26pm Addthis INL researchers use data from the weather stations to create a 3D mean wind speed map. The scale shows wind speeds in meters per second. | Department of Energy Image | Courtesy of Idaho National Laboratory | Public Domain | INL researchers use data from the weather stations to create a 3D mean wind speed map. The scale shows wind speeds in

  2. Coastal Ohio Wind Project for Reduced Barriers to Deployment of Offshore Wind Energy

    SciTech Connect (OSTI)

    Gorsevski, Peter; Afjeh, Abdollah; Jamali, Mohsin; Carroll, Michael

    2014-04-09

    The Coastal Ohio Wind Project was created to establish the viability of wind turbines on the coastal and offshore regions of Northern Ohio. The projects main goal was to improve operational unit strategies used for environmental impact assessment of offshore turbines on lake wildlife by optimizing and fusing data from the multi-instrument surveillance system and providing an engineering analysis of potential design/operational alternatives for offshore wind turbines. The project also developed a general economic model for offshore WTG deployment to quantify potential revenue losses due to wind turbine shutdown related to ice and avian issues. In a previous phase of this project (Award Number: DE-FG36-06GO86096), we developed a surveillance system that was used to collect different parameters such as passage rates, flight paths, flight directions, and flight altitudes of nocturnal migrating species, movements of birds and bats, and bird calls for assessing patterns and peak passage rates during migration. To derive such parameters we used thermal IR imaging cameras, acoustic recorders, and marine radar Furuno (XANK250), which was coupled with a XIR3000B digitizing card from Russell Technologies and open source radR processing software. The integration yielded a development of different computational techniques and methods, which we further developed and optimized as a combined surveillance system. To accomplish this task we implemented marine radar calibration, optimization of processing parameters, and fusion of the multi-sensor data in order to make inferences about the potential avian targets. The main goal of the data fusion from the multi-sensor environment was aimed at reduction of uncertainties while providing acceptable confidence levels with detailed information about the migration patterns. Another component comprised of an assessment of wind resources in a near lake environment and an investigation of the effectiveness of ice coating materials to mitigate adverse effects of ice formation on wind turbine structures. Firstly, a Zephir LiDAR system was acquired and installed at Woodlands School in Huron, Ohio, which is located near Lake Erie. Wind resource data were obtained at ten measurement heights, 200m, 150m, 100m, 80m, 60m, 40m, 38m, 30m, 20m, and 10m. The Woodlands Schools wind turbine anemometer also measured the wind speed at the hub height. These data were collected for approximately one year. The hub anemometer data correlated well with the LiDAR wind speed measurements at the same height. The data also showed that on several days different power levels were recorded by the turbine at the same wind speed as indicated by the hub anemometer. The corresponding LiDAR data showed that this difference can be attributed to variability in the wind over the turbine rotor swept area, which the hub anemometer could not detect. The observation suggests that single point hub wind velocity measurements are inadequate to accurately estimate the power generated by a turbine at all times since the hub wind speed is not a good indicator of the wind speed over the turbine rotor swept area when winds are changing rapidly. To assess the effectiveness of ice coatings to mitigate the impact of ice on turbine structures, a closed-loop icing research tunnel (IRT) was designed and constructed. By controlling the temperature, air speed, water content and liquid droplet size, the tunnel enabled consistent and repeatable ice accretion under a variety of conditions with temperatures between approximately 0C and -20C and wind speeds up to 40 miles per hour in the tunnels test section. The tunnels cooling unit maintained the tunnel temperature within 0.2C. The coatings evaluated in the study were Boyd Coatings Research Companys CRC6040R3, MicroPhase Coatings Inc.s PhaseBreak TP, ESL and Flex coatings. Similar overall performance was observed in all coatings tested in that water droplets form on the test articles beginning at the stagnation region and spreading in the downstream direction in time. When comparing ice accumulation characteristics for the four coatings tested, for ice thickness during accumulation the CRC6040R3 had the least, followed by the ESL, Flex, and TP. However, when comparing the coatings ability to reduce ice adhesion, the Flex showed the highest adhesion reduction, followed by the ESL, TP and CRC 6040R3 coatings. The ice accumulated on the Flex coated surface shed under gravity when rotated 90 degrees following the tests while the other coatings required application of varying degrees of force to remove the ice. In conclusion, the ice coatings tested were not sufficient in preventing ice accumulation on all surfaces. However, Flex coating shows promise in mitigating ice on the rotor blades under the gravitational and centrifugal forces. Only the effect of gravity in shedding the ice was considered in this study. Further research will be needed to evaluate this coating on rotating blades in the icing tunnel to characterize its effectiveness. Lastly, the development of economic feasibility models used existing approaches adapted for offshore deployment in marine settings to one more suitable for Lake Erie deployment. Two different wind turbine models were tested and dynamic return on investment (ROI) model scenarios were generated. For the purpose of estimating power generation three bladed wind turbines of 3 MW capacity were selected including Model1- Leitwind LTW101-3.000-kW and Model2-Vostro V90-3.0 MW. The analysis were based on the revenue aspect of decision making of deploying wind turbines in the Ohio coastal region. The installation cost, maintenance and operational aspects were disregarded due to unavailability of data. The adjusted varying price (residential and industrial sector) and projected future price of electricity in different years suggested that the Leitwind model could generate $32.4 million of revenue in 25 years if the supply electricity is in the residential sector, while it would be $14.7million if the supply is in the industrial sector. For the Vostro model these figures are $28.6 million for residential sector and $12.9 million for industrial sector for 25 years.

  3. Review of Wind Energy Forecasting Methods for Modeling Ramping Events

    SciTech Connect (OSTI)

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

    2011-03-28

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

  4. How Does a Wind Turbine Work? | Department of Energy

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

    Does a Wind Turbine Work? How Does a Wind Turbine Work? How does a wind turbine work? Previous Next Wind turbines operate on a simple principle. The energy in the wind turns two or three propeller-like blades around a rotor. The rotor is connected to the main shaft, which spins a generator to create electricity. Click NEXT to learn more. Blades Rotor Low Speed Shaft Gear Box High Speed Shaft Generator Anemometer Controller Pitch System Brake Wind Vane Yaw Drive Yaw Motor Tower Nacelle

  5. How a Wind Turbine Works | Department of Energy

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

    a Wind Turbine Works How a Wind Turbine Works June 20, 2014 - 9:09am Addthis How does a wind turbine work? Previous Next Wind turbines operate on a simple principle. The energy in the wind turns two or three propeller-like blades around a rotor. The rotor is connected to the main shaft, which spins a generator to create electricity. Click NEXT to learn more. Blades Rotor Low Speed Shaft Gear Box High Speed Shaft Generator Anemometer Controller Pitch System Brake Wind Vane Yaw Drive Yaw Motor

  6. Offshore Wind Market Acceleration Projects | Department of Energy

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

    Research & Development » Offshore Wind » Offshore Wind Market Acceleration Projects Offshore Wind Market Acceleration Projects The program supports market acceleration projects intended to mitigate market barriers to the development of the U.S. offshore wind market. These projects address both environmental and supply chain-related issues, and are broken down into seven categories: Wind resource characterization and design conditions Environmental surveys, monitoring tools, and resources

  7. CgWind: A high-order accurate simulation tool for wind turbines and wind farms

    SciTech Connect (OSTI)

    Chand, K K; Henshaw, W D; Lundquist, K A; Singer, M A

    2010-02-22

    CgWind is a high-fidelity large eddy simulation (LES) tool designed to meet the modeling needs of wind turbine and wind park engineers. This tool combines several advanced computational technologies in order to model accurately the complex and dynamic nature of wind energy applications. The composite grid approach provides high-quality structured grids for the efficient implementation of high-order accurate discretizations of the incompressible Navier-Stokes equations. Composite grids also provide a natural mechanism for modeling bodies in relative motion and complex geometry. Advanced algorithms such as matrix-free multigrid, compact discretizations and approximate factorization will allow CgWind to perform highly resolved calculations efficiently on a wide class of computing resources. Also in development are nonlinear LES subgrid-scale models required to simulate the many interacting scales present in large wind turbine applications. This paper outlines our approach, the current status of CgWind and future development plans.

  8. NREL: Wind Research - Meet a Wind Energy Expert Archives

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

    Meet a Wind Energy Expert Archives The field of wind energy research and development is a diverse one. Our staff consists of a variety of backgrounds and disciplines. Here you will find some of the profiles of our wind energy experts. Maureen Hand Pat Moriarty Printable Version Wind Research Home Research & Development Facilities Research Staff Working with Us Publications Data & Resources Awards News Did you find what you needed? Yes 1 No 0 Thank you for your feedback. Would you like to

  9. U.S. Open Labs - Exploring Resources | Open Energy Information

    Open Energy Info (EERE)

    describes the technology and includes a list of less-developed countries with access to OTEC resources. International Wind Resource Maps The National Renewable Energy Laboratory...

  10. Ethiopia-DLR Resource Assessments | Open Energy Information

    Open Energy Info (EERE)

    to 2004 the German Aerospace Center (DLR) worked with Ethiopia on solar resource and GIS analysis as part of UNEP's Solar and Wind Energy Resource Assessment (SWERA) Programme....

  11. Bangladesh-DLR Resource Assessments | Open Energy Information

    Open Energy Info (EERE)

    to 2004 the German Aerospace Center (DLR) worked with Bangladesh on solar resource and GIS analysis as part of UNEP's Solar and Wind Energy Resource Assessment (SWERA) Programme....

  12. SWERA/Solar Resource Information | Open Energy Information

    Open Energy Info (EERE)

    SWERASolar Resource Information < SWERA Jump to: navigation, search SWERA logo.png Solar and Wind Energy Resource Assessment (SWERA) Interactive Web PortalPowered by OpenEI...

  13. Energy Department Awards $1.8 Million to Develop Wind Turbine...

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

    Technological innovations such as taller wind turbine towers and larger rotors can more efficiently capture the stronger and more consistent wind resources typically found at ...

  14. Offshore Wind Energy Market Overview (Presentation)

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2013-07-01

    This presentation describes the current international market conditions regarding offshore wind, including the breakdown of installation costs, how to reduce costs, and the physical siting considerations considered when planning offshore wind construction. The presentation offers several examples of international existing and planned offshore wind farm sites and compares existing international offshore resources with U.S. resources. The presentation covers future offshore wind trends and cites some challenges that the United States must overcome before it will be able to fully develop offshore wind sites.

  15. Systems Performance Analyses of Alaska Wind-Diesel Projects; Selawik, Alaska (Fact Sheet)

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2009-04-01

    This fact sheet summarizes a systems performance analysis of the wind-diesel project in Selawik, Alaska. Data provided for this project include community load data, wind turbine output, diesel plant output, thermal load data, average wind speed, average net capacity factor, optimal net capacity factor based on Alaska Energy Authority wind data, average net wind penetration, and estimated fuel savings.

  16. Systems Performance Analyses of Alaska Wind-Diesel Projects; Kotzebue, Alaska (Fact Sheet)

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2009-04-01

    This fact sheet summarizes a systems performance analysis of the wind-diesel project in Kotzebue, Alaska. Data provided for this project include wind turbine output, average wind speed, average net capacity factor, and optimal net capacity factor based on Alaska Energy Authority wind data, estimated fuel savings, and wind system availability.

  17. WINDExchange: Education and School Resources

    Wind Powering America (EERE)

    Education and School Resources Filter the WINDExchange database for information resources about Wind for Schools, education and training programs, news, and educational links. Search the WINDExchange Database Choose a Type of Information All News Publications Web Resource Videos Start Search Clear Search Date State Type of Information Program Area Title 1/12/2016 News Schools DOE/NREL Issue Sources Sought for Wind for Schools Project Sustainability Plan 1/1/2016 DE News Schools University of

  18. Cisco Wind Energy Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Cisco Wind Energy Wind Farm Jump to: navigation, search Name Cisco Wind Energy Wind Farm Facility Cisco Wind Energy Sector Wind energy Facility Type Commercial Scale Wind Facility...

  19. Wind Farm

    Broader source: Energy.gov [DOE]

    The wind farm in Greensburg, Kansas, was completed in spring 2010, and consists of ten 1.25 megawatt (MW) wind turbines that supply enough electricity to power every house, business, and municipal...

  20. Wind Power

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

    Wind Power As the accompanying map of New Mexico shows, the best wind power generation potential near WIPP is along the Delaware Mountain ridge line of the southern Guadalupe...

  1. Offshore Wind Research (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-10-01

    This 2-page fact sheet describes NREL's offshore wind research and development efforts and capabilities. The National Renewable Energy Laboratory is internationally recognized for offshore wind energy research and development (R&D). Its experience and capabilities cover a wide spectrum of wind energy disciplines. NREL's offshore wind R&D efforts focus on critical areas that address the long-term needs of the offshore wind energy industry and the Department of Energy (DOE). R&D efforts include: (1) Developing offshore design tools and methods; (2) Collaborating with international partners; (3) Testing offshore systems and developing standards; (4) Conducting economic analyses; (5) Characterizing offshore wind resources; and (6) Identifying and mitigating offshore wind grid integration challenges and barriers. NREL has developed and maintains a robust, open-source, modular computer-aided engineering (CAE) tool, known as FAST. FAST's state-of-the-art capabilities provide full dynamic system simulation for a range of offshore wind systems. It models the coupled aerodynamic, hydrodynamic, control system, and structural response of offshore wind systems to support the development of innovative wind technologies that are reliable and cost effective. FAST also provides dynamic models of wind turbines on offshore fixed-bottom systems for shallow and transitional depths and floating-platform systems in deep water, thus enabling design innovation and risk reduction and facilitating higher performance designs that will meet DOE's cost of energy, reliability, and deployment objectives.

  2. Wind Energy

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

    Stationary Power/Energy Conversion Efficiency/Wind Energy - Wind EnergyTara Camacho-Lopez2016-02-16T22:30:00+00:00 Conducting applied research to increase the viability of wind technology by improving wind turbine performance, reliability, and reducing the cost of energy. Advancing the state of knowledge in the areas of materials, structurally efficient airfoil designs, active-flow aerodynamic control, and sensors. Rotor Innovation Advancing rotor technology such that they capture more energy,

  3. Wind Energy Ordinances (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-08-01

    Due to increasing energy demands in the United States and more installed wind projects, rural communities and local governments with limited or no experience with wind energy now have the opportunity to become involved in this industry. Communities with good wind resources may be approached by entities with plans to develop the resource. Although these opportunities can create new revenue in the form of construction jobs and land lease payments, they also create a new responsibility on the part of local governments to create ordinances to regulate wind turbine installations. Ordinances are laws, often found within municipal codes that provide various degrees of control to local governments. These laws cover issues such as zoning, traffic, consumer protection, and building codes. Wind energy ordinances reflect local needs and wants regarding wind turbines within county or city lines and aid the development of safe facilities that will be embraced by the community. Since 2008 when the National Renewable Energy Laboratory released a report on existing wind energy ordinances, many more ordinances have been established throughout the United States, and this trend is likely to continue in the near future as the wind energy industry grows. This fact sheet provides an overview of elements found in typical wind energy ordinances to educate state and local government officials, as well as policy makers.

  4. Overview and Meteorological Validation of the Wind Integration National Dataset toolkit

    SciTech Connect (OSTI)

    Draxl, C.; Hodge, B. M.; Clifton, A.; McCaa, J.

    2015-04-13

    The Wind Integration National Dataset (WIND) Toolkit described in this report fulfills these requirements, and constitutes a state-of-the-art national wind resource data set covering the contiguous United States from 2007 to 2013 for use in a variety of next-generation wind integration analyses and wind power planning. The toolkit is a wind resource data set, wind forecast data set, and wind power production and forecast data set derived from the Weather Research and Forecasting (WRF) numerical weather prediction model. WIND Toolkit data are available online for over 116,000 land-based and 10,000 offshore sites representing existing and potential wind facilities.

  5. Engineering innovation to reduce wind power COE

    SciTech Connect (OSTI)

    Ammerman, Curtt Nelson

    2011-01-10

    There are enough wind resources in the US to provide 10 times the electric power we currently use, however wind power only accounts for 2% of our total electricity production. One of the main limitations to wind use is cost. Wind power currently costs 5-to-8 cents per kilowatt-hour, which is more than twice the cost of electricity generated by burning coal. Our Intelligent Wind Turbine LDRD Project is applying LANL's leading-edge engineering expertise in modeling and simulation, experimental validation, and advanced sensing technologies to challenges faced in the design and operation of modern wind turbines.

  6. Small Wind Electric Systems | Department of Energy

    Energy Savers [EERE]

    Wind Electric Systems Small Wind Electric Systems Wind power is the fastest growing source of energy in the world -- efficient, cost effective, and non-polluting. If you have enough wind resource in your area and the situation is right, small wind electric systems are one of the most cost-effective home-based renewable energy systems -- with zero emissions and pollution. Small wind electric systems can: Lower your electricity bills by 50%-90% Help you avoid the high costs of having utility power

  7. Small Wind Electric Systems | Department of Energy

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

    Wind Electric Systems Small Wind Electric Systems Wind power is the fastest growing source of energy in the world -- efficient, cost effective, and non-polluting. If you have enough wind resource in your area and the situation is right, small wind electric systems are one of the most cost-effective home-based renewable energy systems -- with zero emissions and pollution. Small wind electric systems can: Lower your electricity bills by 50%-90% Help you avoid the high costs of having utility power

  8. Cherokee Nation - Wind Power Generation Feasibility Study

    Office of Environmental Management (EM)

    Wyatt, CNE 24 October 2006 - Tribal Energy Program Denver, Colorado Presented by: Carol Wyatt, CNE 24 October 2006 - Tribal Energy Program Denver, Colorado Cherokee Wind Project Synopsis Cherokee Wind Project Synopsis Financially Feasible Wind Resource Electrical Load for all Cherokee Entities is $8 million 100 megawatt (40 Wind Turbines) Offset Entire $8 million Tribal Electrical costs Recover Initial Project Investment in 5 Years Gross $198,764,490.00 in Years 6 - 20 Other Commercial,

  9. Understanding Inertial and Frequency Response of Wind Power Plants: Preprint

    SciTech Connect (OSTI)

    Muljadi, E.; Gevorgian, V.; Singh, M.; Santoso, S.

    2012-07-01

    The objective of this paper is to analyze and quantify the inertia and frequency responses of wind power plants with different wind turbine technologies (particularly those of fixed speed, variable slip with rotor-resistance controls, and variable speed with vector controls).

  10. NREL: Technology Deployment - Resource Maps for Taller Towers Reveal New

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

    Areas for Wind Project Development Resource Maps for Taller Towers Reveal New Areas for Wind Project Development News Mapping the Frontier of New Wind Power Potential Publications Southeastern Wind Coalition fact sheets Southeast Wind Energy Fact Sheet Enabling Wind Power Nationwide Wind Vision: A New Era for Wind Power in the United States Sponsors AWS Truepower Southeastern Wind Coalition Key Partners U.S. Department of Energy Contact Ian Baring-Gould, 303-384-7021 A picture of a tall wind

  11. Rotationally sampled wind characteristics and correlations with MOD-OA wind turbine response

    SciTech Connect (OSTI)

    George, R.L.; Connell, J.R.

    1984-09-01

    This report presents results of a comprehensive wind and wind turbine measurement program: the Clayton, New Mexico, vertical plane array/MOD-OA project. In this experiment, the turbulent wind was measured for a large array of fixed anemometers located two blade diameters upwind of a 200-kW horizontal-axis wind turbine (HAWT). Simultaneously, key wind turbine response parameters were also measured. The first of two major objectives of this experiment was to determine the turbulent wind, rotationally sampled to emulate the motion of the wind turbine blade, for the range of different wind speeds and stability classes actually experienced by the wind turbine. The second major objective was to correlate this rotationally sampled wind with the wind turbine blade stress and power, in order to assess the usefulness of the wind measurements for wind turbine loads testing a prediction. Time series of rotationally sampled winds and wind turbine blade bending moments and power were converted to frequency spectra using Fourier transform techniques. These spectra were used as the basis for both qualitative and quantitative comparisons among the various cases. A quantitative comparison between the rotationally sampled wind input and blade bending response was made, using the Fourier spectra to estimate the blade transfer function. These transfer functions were then used to calculate an approximate damping coefficient for the MOD-OA fiberglass blade.

  12. GSA Wind Supply Opportunity

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

    Wind Supply Opportunity 1 2 3 Proposed Location * Size: 100-210 MegaWatts *Location: Bureau County, IL *Planned COD: December 2014 or 2015 *Site Control: 17,000 acres *Wind Resource Assessment: 7.4 m/s *Annual Production Estimate: 350,000 - 725,000 MWh * Interim 2013 renewable energy goal of 15% met and exceeded * Still short of 2020 goal to be 30% renewable * Renewable Power supply is an excellent method of meeting these goals 4 GSA's Renewable Mandate 5 Mechanics of Supply *MG2 would deliver

  13. Training and Learning Resources | Open Energy Information

    Open Energy Info (EERE)

    homeowners and small businesses. Educational resources for students on wind, solar, hydrogen, geothermal and biomass energy are also featured. Reegle Search Engine for...

  14. Ivory Coast: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    and Wind Energy Resource Atlas for Ivory Coast. 4 Programs Ivory Coast-UNEP Risoe Technology Needs Assessment Program African Biofuel & Renewable Energy Fund (ABREF) USAID West...

  15. Netherlands: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    and Wind Energy Resource Atlas for Netherlands. 3 Programs IEA Renewable Energy Technology Deployment ECN-NREL Collaboration Action Plan for Forest Law Enforcement Governance...

  16. Namibia: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    Unexpected > operator. SWERA logo.png SWERA View the Solar and Wind Energy Resource Atlas for Namibia. 5 Programs Namibia-UNEP Green Economy Advisory Services National Action...

  17. Office of Information Resources | Department of Energy

    Energy Savers [EERE]

    Documents & Publications CERTIFICATE OF AUTHENTICITY Office of Information Resources U.S. Offshore Wind Advanced Technology Demonstration Projects Public Meeting Transcript for...

  18. Renewable Energy Resources Inc | Open Energy Information

    Open Energy Info (EERE)

    Inc Jump to: navigation, search Name: Renewable Energy Resources, Inc. Place: Las Vegas, Nevada Sector: Hydro, Renewable Energy, Solar, Wind energy Product: Renewable Energy is a...

  19. Belarus: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    photovoltaic modules) Reegle logo.png Policy and Regulatory Overview 3 Expression error: Unexpected > operator. SWERA logo.png SWERA View the Solar and Wind Energy Resource...

  20. Charlottesville, Virginia: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    LLC Apex Wind Energy Inc Greenlight Biofuels Greenlight Energy Resources Inc GER Sol Sage Energy References US Census Bureau Incorporated place and minor civil division...

  1. Hurricane Katrina Wind Investigation Report

    SciTech Connect (OSTI)

    Desjarlais, A. O.

    2007-08-15

    This investigation of roof damage caused by Hurricane Katrina is a joint effort of the Roofing Industry Committee on Weather Issues, Inc. (RICOWI) and the Oak Ridge National Laboratory/U.S. Department of Energy (ORNL/DOE). The Wind Investigation Program (WIP) was initiated in 1996. Hurricane damage that met the criteria of a major windstorm event did not materialize until Hurricanes Charley and Ivan occurred in August 2004. Hurricane Katrina presented a third opportunity for a wind damage investigation in August 29, 2005. The major objectives of the WIP are as follows: (1) to investigate the field performance of roofing assemblies after major wind events; (2) to factually describe roofing assembly performance and modes of failure; and (3) to formally report results of the investigations and damage modes for substantial wind speeds The goal of the WIP is to perform unbiased, detailed investigations by credible personnel from the roofing industry, the insurance industry, and academia. Data from these investigations will, it is hoped, lead to overall improvement in roofing products, systems, roofing application, and durability and a reduction in losses, which may lead to lower overall costs to the public. This report documents the results of an extensive and well-planned investigative effort. The following program changes were implemented as a result of the lessons learned during the Hurricane Charley and Ivan investigations: (1) A logistics team was deployed to damage areas immediately following landfall; (2) Aerial surveillance--imperative to target wind damage areas--was conducted; (3) Investigation teams were in place within 8 days; (4) Teams collected more detailed data; and (5) Teams took improved photographs and completed more detailed photo logs. Participating associations reviewed the results and lessons learned from the previous investigations and many have taken the following actions: (1) Moved forward with recommendations for new installation procedures; (2) Updated and improved application guidelines and manuals from associations and manufacturers; (3) Launched certified product installer programs; and (4) Submitted building code changes to improve product installation. Estimated wind speeds at the damage locations came from simulated hurricane models prepared by Applied Research Associates of Raleigh, North Carolina. A dynamic hurricane wind field model was calibrated to actual wind speeds measured at 12 inland and offshore stations. The maximum estimated peak gust wind speeds in Katrina were in the 120-130 mph range. Hurricane Katrina made landfall near Grand Isle, Louisiana, and traveled almost due north across the city of New Orleans. Hurricane winds hammered the coastline from Houma, Louisiana, to Pensacola, Florida. The severe flooding problems in New Orleans made it almost impossible for the investigating teams to function inside the city. Thus the WIP investigations were all conducted in areas east of the city. The six teams covered the coastal areas from Bay Saint Louis, Mississippi, on the west to Pascagoula, Mississippi, on the east. Six teams involving a total of 25 persons documented damage to both low slope and steep slope roofing systems. The teams collected specific information on each building examined, including type of structure (use or occupancy), wall construction, roof type, roof slope, building dimensions, roof deck, insulation, construction, and method of roof attachment. In addition, the teams noted terrain exposure and the estimated wind speeds at the building site from the Katrina wind speed map. With each team member assigned a specific duty, they described the damage in detail and illustrated important features with numerous color photos. Where possible, the points of damage initiation were identified and damage propagation described. Because the wind speeds in Katrina at landfall, where the investigations took place, were less than code-specified design speeds, one would expect roof damage to be minimal. One team speculated that damage to all roofs in the area they examined was les

  2. Coastal Ohio Wind Project

    SciTech Connect (OSTI)

    Gorsevski, Peter; Afjeh, Abdollah; Jamali, Mohsin; Bingman, Verner

    2014-04-04

    The Coastal Ohio Wind Project intends to address problems that impede deployment of wind turbines in the coastal and offshore regions of Northern Ohio. The project evaluates different wind turbine designs and the potential impact of offshore turbines on migratory and resident birds by developing multidisciplinary research, which involves wildlife biology, electrical and mechanical engineering, and geospatial science. Firstly, the project conducts cost and performance studies of two- and three-blade wind turbines using a turbine design suited for the Great Lakes. The numerical studies comprised an analysis and evaluation of the annual energy production of two- and three-blade wind turbines to determine the levelized cost of energy. This task also involved wind tunnel studies of model wind turbines to quantify the wake flow field of upwind and downwind wind turbine-tower arrangements. The experimental work included a study of a scaled model of an offshore wind turbine platform in a water tunnel. The levelized cost of energy work consisted of the development and application of a cost model to predict the cost of energy produced by a wind turbine system placed offshore. The analysis found that a floating two-blade wind turbine presents the most cost effective alternative for the Great Lakes. The load effects studies showed that the two-blade wind turbine model experiences less torque under all IEC Standard design load cases considered. Other load effects did not show this trend and depending on the design load cases, the two-bladed wind turbine showed higher or lower load effects. The experimental studies of the wake were conducted using smoke flow visualization and hot wire anemometry. Flow visualization studies showed that in the downwind turbine configuration the wake flow was insensitive to the presence of the blade and was very similar to that of the tower alone. On the other hand, in the upwind turbine configuration, increasing the rotor blade angle of attack reduced the wake size and enhanced the vortices in the flow downstream of the turbine-tower compared with the tower alone case. Mean and rms velocity distributions from hot wire anemometer data confirmed that in a downwind configuration, the wake of the tower dominates the flow, thus the flow fields of a tower alone and tower-turbine combinations are nearly the same. For the upwind configuration, the mean velocity shows a narrowing of the wake compared with the tower alone case. The downwind configuration wake persisted longer than that of an upwind configuration; however, it was not possible to quantify this difference because of the size limitation of the wind tunnel downstream of the test section. The water tunnel studies demonstrated that the scale model studies could be used to adequately produce accurate motions to model the motions of a wind turbine platform subject to large waves. It was found that the important factors that affect the platform is whether the platform is submerged or surface piercing. In the former, the loads on the platform will be relatively reduced whereas in the latter case, the structure pierces the wave free surface and gains stiffness and stability. The other important element that affects the movement of the platform is depth of the sea in which the wind turbine will be installed. Furthermore, the wildlife biology component evaluated migratory patterns by different monitoring systems consisting of marine radar, thermal IR camera and acoustic recorders. The types of radar used in the project are weather surveillance radar and marine radar. The weather surveillance radar (1988 Doppler), also known as Next Generation Radar (NEXRAD), provides a network of weather stations in the US. Data generated from this network were used to understand general migratory patterns, migratory stopover habitats, and other patterns caused by the effects of weather conditions. At a local scale our marine radar was used to complement the datasets from NEXRAD and to collect additional monitoring parameters such as passage rates, flight paths, flight directions, and flight altitudes of nocturnal migrating species. Our work focused on the design and development of custom built marine radar that used t-bar and parabolic dish antennas. The marine radar used in the project was Furuno (XANK250) which was coupled with a XIR3000B digitizing card from Russell Technologies for collection of the radar data. The radar data was processed by open source radR processing software using different computational techniques and methods. Additional data from thermal IR imaging cameras were collected to detect heat emitted from objects and provide information on movements of birds and bats, data which we used for different animal flight behavior analysis. Lastly, the data from the acoustic recorders were used to provide the number of bird calls for assessing patterns and peak passage rates during migration. The development of the geospatial database included collection of different data sources that are used to support offshore wind turbine development. Many different data sets were collected and organized using initial version of web-based repository software tools that can accommodate distribution of rectified pertinent data sets such as the lake depth, lake bottom engineering parameters, extent of ice, navigation pathways, wind speed, important bird habitats, fish efforts and other layers that are relevant for supporting robust offshore wind turbine developments. Additional geospatial products developed during the project included few different prototypes for offshore wind farm suitability which can involve different stakeholders and participants for solving complex planning problems and building consensus. Some of the prototypes include spatial decision support system (SDSS) for collaborative decision making, a web-based Participatory Geographic Information System (PGIS) framework for evaluating importance of different decision alternatives using different evaluation criteria, and an Android application for collection of field data using mobile and tablet devices . In summary, the simulations of two- and three-blade wind turbines suggested that two-bladed machines could produce comparable annual energy as the three-blade wind turbines but have a lighter tower top weight, which leads to lower cost of energy. In addition, the two-blade rotor configuration potentially costs 20% less than a three blade configuration that produces the same power at the same site. The cost model analysis predicted a potential cost savings of approximately 15% for offshore two-blade wind turbines. The foundation design for a wind turbine in Lake Erie is likely to be driven by ice loads based on the currently available ice data and ice mechanics models. Hence, for Lake Eire, the cost savings will be somewhat smaller than the other lakes in the Great Lakes. Considering the size of cranes and vessels currently available in the Great Lakes, the cost optimal wind turbine size should be 3 MW, not larger. The surveillance data from different monitoring systems suggested that bird and bat passage rates per hour were comparable during heavy migrations in both spring and fall seasons while passage rates were significantly correlated to wind directions and wind speeds. The altitude of migration was higher during heavy migrations and higher over water relative to over land. Notable portions of migration on some spring nights occurred parallel the shoreline, often moving perpendicular to southern winds. The birds approaching the Western basin have a higher propensity to cross than birds approaching the Central basin of Lake Erie and as such offshore turbine development might be a better option further east towards Cleveland than in the Western basin. The high stopover density was more strongly associated with migration volume the following night rather than the preceding night. The processed mean scalar wind speeds with temporal resolutions as fine as 10-minute intervals near turbine height showed that August is the month with the weakest winds while December is the month, which typically has the strongest winds. The ice data suggests that shallow western basin of Lake Erie has higher ice cover duration many times exceeding 90 days during some winters.

  3. Network Wind Power Over the Pacific Northwest. Progress Report, October 1979-September 1980.

    SciTech Connect (OSTI)

    Baker, Robert W.; Hewson, E. Wendell

    1980-10-01

    The research in FY80 is composed of six primary tasks. These tasks include data collection and analysis, wind flow studies around an operational wind turbine generator (WTG), kite anemometer calibration, wind flow analysis and prediction, the Klickitat County small wind energy conversion system (SWECS) program, and network wind power analysis. The data collection and analysis task consists of four sections, three of which deal with wind flow site surveys and the fourth with collecting and analyzing wind data from existing data stations. This report also includes an appendix which contains mean monthly wind speed data summaries, wind spectrum summaries, time series analysis plots, and high wind summaries.

  4. NREL: Wind Research - Small Wind Turbine Development

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

    Small Wind Turbine Development A photo of Southwest Windpower's Skystream wind turbine in front of a home. PIX14936 Southwest Windpower's Skystream wind turbine. A photo of the Endurance wind turbine. PIX15006 The Endurance wind turbine. A photo of the Atlantic Orient Corporation 15/50 wind turbine at the National Wind Technology Center. PIX07301 The Atlantic Orient Corporation 15/50 wind turbine at the National Wind Technology Center. NREL supports continued market expansion of small wind

  5. Adjustable Speed Pumping Applications

    Broader source: Energy.gov [DOE]

    This tip sheet provides practical tips on the application of adjustable speed drives in industrial pumping systems.

  6. Guide to Using the WIND Toolkit Validation Code

    SciTech Connect (OSTI)

    Lieberman-Cribbin, W.; Draxl, C.; Clifton, A.

    2014-12-01

    In response to the U.S. Department of Energy's goal of using 20% wind energy by 2030, the Wind Integration National Dataset (WIND) Toolkit was created to provide information on wind speed, wind direction, temperature, surface air pressure, and air density on more than 126,000 locations across the United States from 2007 to 2013. The numerical weather prediction model output, gridded at 2-km and at a 5-minute resolution, was further converted to detail the wind power production time series of existing and potential wind facility sites. For users of the dataset it is important that the information presented in the WIND Toolkit is accurate and that errors are known, as then corrective steps can be taken. Therefore, we provide validation code written in R that will be made public to provide users with tools to validate data of their own locations. Validation is based on statistical analyses of wind speed, using error metrics such as bias, root-mean-square error, centered root-mean-square error, mean absolute error, and percent error. Plots of diurnal cycles, annual cycles, wind roses, histograms of wind speed, and quantile-quantile plots are created to visualize how well observational data compares to model data. Ideally, validation will confirm beneficial locations to utilize wind energy and encourage regional wind integration studies using the WIND Toolkit.

  7. Method and apparatus for reducing rotor blade deflections, loads, and/or peak rotational speed

    DOE Patents [OSTI]

    Moroz, Emilian Mieczyslaw; Pierce, Kirk Gee

    2006-10-17

    A method for reducing at least one of loads, deflections of rotor blades, or peak rotational speed of a wind turbine includes storing recent historical pitch related data, wind related data, or both. The stored recent historical data is analyzed to determine at least one of whether rapid pitching is occurring or whether wind speed decreases are occurring. A minimum pitch, a pitch rate limit, or both are imposed on pitch angle controls of the rotor blades conditioned upon results of the analysis.

  8. U.S. Department of Energy Wind and Water Power Program Funding...

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

    ... Iowa State University Hexcrete Tower for Harvesting Wind Energy at Taller Hub Heights 1,000,000 FY14: U.S. Wind Manufacturing: Taller Hub Heights to Access Higher Wind Resources ...

  9. EERE Success Story-Mapping the Frontier of New Wind Power Potential...

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

    previously limited wind resources-such as the southeastern United States-have the opportunity to add new wind power capacity using taller utility-scale wind energy technologies. ...

  10. U.S. Department of Energy Wind and Water Power Program Funding...

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

    ... previously limited wind resources-such as the southeastern United States-have the opportunity to add new wind power capacity using taller utility-scale wind energy technologies. ...

  11. Wind Power Technologies Office FY 2015 Budget At-A-Glance

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

    energy projects, with a focus on U.S. offshore wind. Reduction of Market Barriers ... complex flow of the resource in wind farms to increase wind farm energy capture, ...

  12. Wind Power Technologies Office FY 2016 Budget At-A-Glance

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

    energy projects, with a focus on U.S. offshore wind. Reduction of Market Barriers ... complex flow of the resource in wind farms to increase wind farm energy capture, ...

  13. Energy Department Awards $1.8 Million to Develop Wind Turbine Blades to

    Office of Environmental Management (EM)

    Access Better Wind Resources and Reduce Costs | Department of Energy 1.8 Million to Develop Wind Turbine Blades to Access Better Wind Resources and Reduce Costs Energy Department Awards $1.8 Million to Develop Wind Turbine Blades to Access Better Wind Resources and Reduce Costs September 15, 2015 - 9:00am Addthis The Energy Department today announced the selection of two organizations to develop larger wind turbine blades that can take advantage of better wind resources and can lower costs.

  14. Modeling Sensitivities to the 20% Wind Scenario Report with the WinDS Model

    SciTech Connect (OSTI)

    Blair, N.; Hand, M.; Short, W.; Sullivan, P.

    2008-06-01

    In May 2008, DOE published '20% Wind Energy by 2030', a report which describes the costs and benefits of producing 20% of the nation's projected electricity demand in 2030 from wind technology. The total electricity system cost resulting from this scenario was modestly higher than a scenario in which no additional wind was installed after 2006. NREL's Wind Deployment System (WinDS) model was used to support this analysis. With its 358 regions, explicit treatment of transmission expansion, onshore siting considerations, shallow- and deep-water wind resources, 2030 outlook, explicit financing assumptions, endogenous learning, and stochastic treatment of wind resource variability, WinDS is unique in the level of detail it can bring to this analysis. For the 20% Wind Energy by 2030 analysis, the group chose various model structures (such as the ability to wheel power within an interconnect), and the wind industry agreed on a variety of model inputs (such as the cost of transmission or new wind turbines). For this paper, the analysis examined the sensitivity of the results to variations in those input values and model structure choices. These included wind cost and performance improvements over time, seasonal/diurnal wind resource variations, transmission access and costs, siting costs, conventional fuel cost trajectories, and conventional capital costs.

  15. FEASIBILITY OF WIND TO SERVE UPPER SKAGIT'S BOW HILL TRIBAL LANDS AND FEASIBILITY UPDATE FOR RESIDENTIAL RENEWABLE ENERGY.

    SciTech Connect (OSTI)

    RICH, LAUREN

    2013-09-30

    A two year wind resource assessment was conducted to determine the feasibility of developing a community scale wind generation system for the Upper Skagit Indian Tribe�s Bow Hill land base, and the project researched residential wind resource technologies to determine the feasibility of contributing renewable wind resource to the mix of energy options for our single and multi-family residential units.

  16. Nebraska Statewide Wind Integration Study: April 2008 - January 2010

    SciTech Connect (OSTI)

    EnerNex Corporation, Knoxville, Tennessee; Ventyx, Atlanta, Georgia; Nebraska Power Association, Lincoln, Nebraska

    2010-03-01

    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.

  17. Northwest Distributed/Community Wind Workgroup Meeting- Seattle

    Broader source: Energy.gov [DOE]

    As part of the DOE's Northwest Wind Resource and Action Center, Northwest SEED will facilitate a workgroup meeting for stakeholders involved in the distributed and community wind sector in the...

  18. 2014 Wind Technologies Market Report

    SciTech Connect (OSTI)

    Wiser, R.; Bolinger, M.

    2015-08-01

    According to the 2014 Wind Technologies Market Report, total installed wind power capacity in the United States grew at a rate of eight percent in 2014, bringing the United States total installed capacity to nearly 66 gigawatts (GW), which ranks second in the world and meets 4.9 percent of U.S. end-use electricity demand in an average year. In total, 4,854 MW of new wind energy capacity were installed in the United States in 2014. The 2014 Wind Technologies Market Report also finds that wind energy prices are at an all-time low and are competitive with wholesale power prices and traditional power sources across many areas of the United States. Additionally, a new trend identified by the 2014 Wind Technologies Market Report shows utility-scale turbines with larger rotors designed for lower wind speeds have been increasingly deployed across the country in 2014. The findings also suggest that the success of the U.S. wind industry has had a ripple effect on the American economy, supporting 73,000 jobs related to development, siting, manufacturing, transportation, and other industries.

  19. Wind Power Forecasting Data

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

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

  20. Algae Raceway to speed path to biofuels

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

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

  1. Offshore Wind

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

    Lab Photovoltaic Systems Evaluation Laboratory PV Regional ... Facility Geomechanics and Drilling Labs National ... Twitter Google + Vimeo GovDelivery SlideShare Offshore Wind ...

  2. Additional Funding & Financing Resources | Department of Energy

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

    Additional Funding & Financing Resources Additional Funding & Financing Resources Workers use a giant crane to lift the blade assembly on a wind turbine at NREL's National Wind Technology Center. | Photo by Dennis Schroeder. Workers use a giant crane to lift the blade assembly on a wind turbine at NREL's National Wind Technology Center. | Photo by Dennis Schroeder. Want to know more about funding and financing for energy projects and businesses? Check out general resources at the Energy

  3. Articles about Resource Assessment and Characterization | Department of

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

    Energy Resource Assessment and Characterization Articles about Resource Assessment and Characterization RSS Below are stories about resource assessment and characterization featured by the U.S. Department of Energy (DOE) Wind Program. May 19, 2015 Energy Department Releases Report, Evaluates Potential for Wind Power in All 50 States New report shows how the United States can unlock the vast potential for wind energy deployment through next-generation turbines. May 18, 2015 LLNL Predicts Wind

  4. NREL: Wind Research - Wind Career Map Shows Wind Industry Career...

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

    Wind Career Map Shows Wind Industry Career Opportunities, Paths A screenshot of the wind career map showing the various points on a chart that show different careers in the wind...

  5. Eastern Shoshone Tribe - Wind Feasibility Study on the Wind River Reservation

    Office of Environmental Management (EM)

    Northern Arapahoe Tribe Tatanka Energy - DISGEN Native American Programs and Resources Eastern Shoshone & Northern Arapaho Tribes on the Wind River Reservation Project Overview Participants Project Location Project Status Tatanka Energy - DISGEN Native American Programs and Resources Eastern Shoshone & Northern Arapaho Tribes on the Wind River Reservation Project Overview Developing a sustainable, integrated wind energy plan for the benefit of the Tribes. Provide a preliminary evaluation

  6. Wind Turbine Generator System Power Performance Test Report for the ARE442 Wind Turbine

    SciTech Connect (OSTI)

    van Dam, J.; Jager, D.

    2010-02-01

    This report summarizes the results of a power performance test that NREL conducted on the ARE 442 wind turbine. This test was conducted in accordance with the International Electrotechnical Commission's (IEC) standard, Wind Turbine Generator Systems Part 12: Power Performance Measurements of Electricity Producing Wind Turbines, IEC 61400-12-1 Ed.1.0, 2005-12. However, because the ARE 442 is a small turbine as defined by IEC, NREL also followed Annex H that applies to small wind turbines. In these summary results, wind speed is normalized to sea-level air density.

  7. Portsmouth Abbey School Wind Turbine Wind Farm | Open Energy...

    Open Energy Info (EERE)

    Abbey School Wind Turbine Wind Farm Jump to: navigation, search Name Portsmouth Abbey School Wind Turbine Wind Farm Facility Portsmouth Abbey School Wind Turbine Sector Wind energy...

  8. Harbec Plastic Wind Turbine Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Harbec Plastic Wind Turbine Wind Farm Jump to: navigation, search Name Harbec Plastic Wind Turbine Wind Farm Facility Harbec Plastic Wind Turbine Sector Wind energy Facility Type...

  9. Stetson Wind Expansion Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Stetson Wind Expansion Wind Farm Jump to: navigation, search Name Stetson Wind Expansion Wind Farm Facility Stetson Wind Expansion Sector Wind energy Facility Type Commercial Scale...

  10. Wind Power Partners '94 Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    4 Wind Farm Jump to: navigation, search Name Wind Power Partners '94 Wind Farm Facility Wind Power Partners '94 Sector Wind energy Facility Type Commercial Scale Wind Facility...

  11. Wethersfield Wind Power Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Wethersfield Wind Power Wind Farm Jump to: navigation, search Name Wethersfield Wind Power Wind Farm Facility Wethersfield Wind Power Sector Wind energy Facility Type Commercial...

  12. State Fair Wind Energy Education Center Wind Farm | Open Energy...

    Open Energy Info (EERE)

    Fair Wind Energy Education Center Wind Farm Jump to: navigation, search Name State Fair Wind Energy Education Center Wind Farm Facility Wind Energy Education Center Sector Wind...

  13. NREL: Resource Assessment and Forecasting - Data and Resources

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

    Data and Resources National Solar Radiation Database NREL resource assessment and forecasting research information is available from the following sources. Renewable Resource Data Center (RReDC) Provides information about biomass, geothermal, solar, and wind energy resources. Measurement and Instrumentation Data Center Provides irradiance and meteorological data from stations throughout the United States. Baseline Measurement System (BMS) Provides live solar radiation data from approximately 70

  14. Small Wind Electric Systems: A New Hampshire Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2003-06-01

    The purpose of the Small Wind Electric Systems Consumer's: A New Hampshire Consumer's Guide is to provide consumers with enough information to help them determine if a small wind electric system will work for them based on their wind resource, the type and size of their sites, and their economics. The cover of this guide contains a New Hampshire wind resource map and information about state incentives and contacts for more information.

  15. Small Wind Electric Systems: A Maine Consumer's Guide

    SciTech Connect (OSTI)

    Not Available

    2003-06-01

    The purpose of the Small Wind Electric Systems Consumer's: A Maine Consumer's Guide is to provide consumers with enough information to help them determine if a small wind electric system will work for them based on their wind resource, the type and size of their sites, and their economics. The cover of this guide contains a wind resource map for the state of Maine and information about state incentives and contacts for more information.

  16. NREL Releases Estimate of National Offshore Wind Energy Potential - News

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

    Releases | NREL Releases Estimate of National Offshore Wind Energy Potential September 10, 2010 The U.S. Department of Energy's National Renewable Energy Laboratory (NREL) announces the release of a new report that assesses the electricity generating potential of offshore wind resources in the United States. According to the Assessment of Offshore Wind Energy Resources for the United States, 4,150 gigawatts of potential wind turbine nameplate capacity (maximum turbine capacity) from offshore

  17. Results of Wind Monitoring Effort at Sand Point

    Energy Savers [EERE]

    Results of Wind Monitoring at Sand Point 24 June, 2009 Report Outline Project Overview/Summary of Results Project Location Project Instrumentation Discussion of Wind Resource Appendix Project Overview/Summary of Results As part of the NREL Native American Anemometer Loan Program an anemometers was installed near Sand Point, Alaska to assess the area's wind energy potential. This report describes the wind resource measured at this location. The monitoring period ran from 14 February 2004 to 6

  18. An Enabling Framework for Wind Power in Colombia: What are the...

    Open Energy Info (EERE)

    Energy, Wind Topics: Market analysis, Pathways analysis Resource Type: Publications, Lessons learnedbest practices, Case studiesexamples Website: tech-action.org...

  19. High Resolution Atmospheric Modeling for Wind Energy Applications

    SciTech Connect (OSTI)

    Simpson, M; Bulaevskaya, V; Glascoe, L; Singer, M

    2010-03-18

    The ability of the WRF atmospheric model to forecast wind speed over the Nysted wind park was investigated as a function of time. It was found that in the time period we considered (August 1-19, 2008), the model is able to predict wind speeds reasonably accurately for 48 hours ahead, but that its forecast skill deteriorates rapidly after 48 hours. In addition, a preliminary analysis was carried out to investigate the impact of vertical grid resolution on the forecast skill. Our preliminary finding is that increasing vertical grid resolution does not have a significant impact on the forecast skill of the WRF model over Nysted wind park during the period we considered. Additional simulations during this period, as well as during other time periods, will be run in order to validate the results presented here. Wind speed is a difficult parameter to forecast due the interaction of large and small length scale forcing. To accurately forecast the wind speed at a given location, the model must correctly forecast the movement and strength of synoptic systems, as well as the local influence of topography / land use on the wind speed. For example, small deviations in the forecast track or strength of a large-scale low pressure system can result in significant forecast errors for local wind speeds. The purpose of this study is to provide a preliminary baseline of a high-resolution limited area model forecast performance against observations from the Nysted wind park. Validating the numerical weather prediction model performance for past forecasts will give a reasonable measure of expected forecast skill over the Nysted wind park. Also, since the Nysted Wind Park is over water and some distance from the influence of terrain, the impact of high vertical grid spacing for wind speed forecast skill will also be investigated.

  20. Danielson Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Danielson Wind Facility Danielson Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Developer Juhl Wind...

  1. Kawailoa Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Kawailoa Wind Facility Kawailoa Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  2. Palouse Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Palouse Wind Facility Palouse Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  3. Harbor Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Harbor Wind Facility Harbor Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Harbor Wind LLC...

  4. Kahuku Wind | Open Energy Information

    Open Energy Info (EERE)

    Kahuku Wind Jump to: navigation, search Name Kahuku Wind Facility Kahuku Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  5. Wiota Wind | Open Energy Information

    Open Energy Info (EERE)

    Wiota Wind Jump to: navigation, search Name Wiota Wind Facility Wiota Wind Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Wiota Wind Energy LLC...

  6. Bravo Wind | Open Energy Information

    Open Energy Info (EERE)

    Bravo Wind Jump to: navigation, search Name Bravo Wind Facility Bravo Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status Proposed Developer Bravo Wind LLC...

  7. Auwahi Wind | Open Energy Information

    Open Energy Info (EERE)

    Auwahi Wind Jump to: navigation, search Name Auwahi Wind Facility Auwahi Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner BP Wind Energy...

  8. Traer Wind | Open Energy Information

    Open Energy Info (EERE)

    Traer Wind Jump to: navigation, search Name Traer Wind Facility Traer Wind Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Norsemen Wind Energy LLC...

  9. Sheffield Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Sheffield Wind Facility Sheffield Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  10. Rollins Wind | Open Energy Information

    Open Energy Info (EERE)

    Wind Jump to: navigation, search Name Rollins Wind Facility Rollins Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner First Wind...

  11. Sandia Wind Turbine Loads Database

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

    The Sandia Wind Turbine Loads Database is divided into six files, each corresponding to approximately 16 years of simulation. The files are text files with data in columnar format. The 424MB zipped file containing six data files can be downloaded by the public. The files simulate 10-minute maximum loads for the NREL 5MW wind turbine. The details of the loads simulations can be found in the paper: Decades of Wind Turbine Loads Simulations, M. Barone, J. Paquette, B. Resor, and L. Manuel, AIAA2012-1288 (3.69MB PDF). Note that the site-average wind speed is 10 m/s (class I-B), not the 8.5 m/s reported in the paper.

  12. Meteorological aspects of siting large wind turbines

    SciTech Connect (OSTI)

    Hiester, T.R.; Pennell, W.T.

    1981-01-01

    This report, which focuses on the meteorological aspects of siting large wind turbines (turbines with a rated output exceeding 100 kW), has four main goals. The first is to outline the elements of a siting strategy that will identify the most favorable wind energy sites in a region and that will provide sufficient wind data to make responsible economic evaluations of the site wind resource possible. The second is to critique and summarize siting techniques that were studied in the Department of Energy (DOE) Wind Energy Program. The third goal is to educate utility technical personnel, engineering consultants, and meteorological consultants (who may have not yet undertaken wind energy consulting) on meteorological phenomena relevant to wind turbine siting in order to enhance dialogues between these groups. The fourth goal is to minimize the chances of failure of early siting programs due to insufficient understanding of wind behavior.

  13. NREL: Learning - National Wind Technology Center Video (Text Version)

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

    National Wind Technology Center Video (Text Version) This is the text version for the National Wind Technology Center video. The video opens with spinning blades of wind turbines and the National Renewable Energy Laboratory logo. It then cuts to images of windmills turning on farms. The video cuts in between shots of wind turbines and face-to-face interviews of scientists from NREL's National Wind Technology Center. (Voiceover) It is a pure, plentiful natural resource. Jim Johnson, Senior

  14. 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.

  15. Wind Program Newsletter: Third Quarter 2011 | Department of Energy

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

    1 Wind Program Newsletter: Third Quarter 2011 Department of Energy Awards $43 Million to Spur Offshore Wind Energy In the News Current R&D Funding Opportunities Recent Publications Department of Energy Awards $43 Million to Spur Offshore Wind Energy In September, the U.S. Department of Energy announced that it will award $43 million over the next five years to 41 projects across 20 states to speed technical innovations, lower costs, and shorten the timeline for deploying offshore wind energy

  16. South Carolina Opens Nation's Largest Wind Drivetrain Testing Facility |

    Energy Savers [EERE]

    Department of Energy South Carolina Opens Nation's Largest Wind Drivetrain Testing Facility South Carolina Opens Nation's Largest Wind Drivetrain Testing Facility November 27, 2013 - 12:00am Addthis The Energy Department and Clemson University officials on November 21 dedicated the nation's largest wind energy testing facility in North Charleston, South Carolina. The facility will help test and validate new turbines, particularly for offshore wind- €helping to speed deployment of next

  17. LLNL Predicts Wind Power with Greater Accuracy | Department of Energy

    Office of Environmental Management (EM)

    LLNL Predicts Wind Power with Greater Accuracy LLNL Predicts Wind Power with Greater Accuracy May 18, 2015 - 5:05pm Addthis A multicolored scatter plot that curves from left to right, bottom to top to show the wind power capacity factor and wind speed meters per second. The colors relate atmospheric stability conditions to reported power-output observations with black, dark blue, and lighter blue representing stable conditions; light blue, green and light green representing neutral conditions;

  18. NREL Readies New Wind Turbine Drivetrain for Commercialization | Department

    Office of Environmental Management (EM)

    of Energy NREL Readies New Wind Turbine Drivetrain for Commercialization NREL Readies New Wind Turbine Drivetrain for Commercialization May 18, 2015 - 3:52pm Addthis Illustration of a wind turbine drivetrain with a transparent case that shows the internal gears. In February, engineers at the U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL) assembled the innovative, medium-speed, medium-voltage wind turbine drivetrain that was the result of a study funded by

  19. 2011 DOE Funded Offshore Wind Project Updates | Department of Energy

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

    2011 DOE Funded Offshore Wind Project Updates 2011 DOE Funded Offshore Wind Project Updates September 12, 2014 - 10:52am Addthis For the past few years, much of the U.S. Department of Energy's (DOE's) Wind Program research and development efforts have been focused on accelerating the development and deployment of offshore wind energy technology. In 2011, DOE awarded $43 million to 41 projects across 20 states to speed technical innovations, lower costs, and shorten the timeline for deploying

  20. Wyoming Wind Power Project (generation/wind)

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

    Wind Power > Generation Hydro Power Wind Power Monthly GSP BPA White Book Dry Year Tools Firstgov Wyoming Wind Power Project (Foote Creek Rim I and II) Thumbnail image of wind...

  1. Office of Information Resources | Department of Energy

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

    Council; 2007 Spring Full Council Meeting June 7, 2007 PDF icon Office of Information Resources More Documents & Publications CERTIFICATE OF AUTHENTICITY Office of Information Resources U.S. Offshore Wind Advanced Technology Demonstration Projects Public Meeting Transcript for Offshore Wind Demonstrations

  2. Analysis of a teetered, variable-speed rotor: final report

    SciTech Connect (OSTI)

    Weber, T.L.; Wilson, R.E.; Walker, S.N. . Dept. of Mechanical Engineering)

    1991-06-01

    A computer model of a horizontal axis wind turbine (HOOT) with four structural degrees of freedom has been derived and verified. The four degrees of freedom include flapwise motion of the blades, teeter motion, and variable rotor speed. Options for the variable rotor speed include synchronous, induction, and constant-tip speed generator models with either start, stop, or normal operations. Verification is made by comparison with analytical solutions and mean and cyclic ESI-80 data. The Veers full-field turbulence model is used as a wind input for a synchronous and induction generator test case during normal operation. As a result of the comparison, it is concluded that the computer model can be used to predict accurately mean and cyclic loads with a turbulent wind input. 47 refs., 19 figs.

  3. Top 10 Things You Didn't Know About Wind Power | Department of...

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

    can be over 328 feet tall -- taller than the Statue of Liberty. 7. Higher wind speeds mean more electricity, and wind turbines are getting taller to reach higher heights above ...

  4. 2014 Offshore Wind Market & Economic Analysis Cover Photo | Department of

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

    Energy 4 Offshore Wind Market & Economic Analysis Cover Photo 2014 Offshore Wind Market & Economic Analysis Cover Photo Image icon Navigant 2014 Offshore Wind Market and Economic Analysis.JPG More Documents & Publications U.S. Wind Energy Manufacturing & Supply Chain Cover Photo Offshore Wind Projects 2014 Offshore Wind Market and Economic Analysis Wind Program Home About the Program Research & Development WINDExchange Financial Opportunities Information Resources News

  5. Grid-Connected Renewable Energy Generation Toolkit-Wind | Open...

    Open Energy Info (EERE)

    Agency for International Development Sector: Energy Focus Area: Wind Resource Type: Training materials Website: www.energytoolbox.orggcremod6index.shtml Grid-Connected...

  6. Whitewater Hill Wind Farm I | Open Energy Information

    Open Energy Info (EERE)

    Scale Wind Facility Status In Service Developer Cannon Power Corp. Energy Purchaser L.A. Department of Water Resources Location San Gorgonio CA Coordinates 33.9095,...

  7. Calwind II CEC Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Status In Service Developer CalWind Resources Energy Purchaser Southern California Edison Co Location Tehachapi CA Coordinates 35.07665, -118.25529 Show Map Loading map......

  8. Category:Wind Working Group Toolkit | Open Energy Information

    Open Energy Info (EERE)

    search This wiki-based Wind Working Group Toolkit provides links to information, methods, and resources. This wiki is a work in progress, and we welcome your contributions....

  9. Wind Projects on Native American Lands | Open Energy Information

    Open Energy Info (EERE)

    Native American Wind Issues Need for Energy Self-Sufficiency Although often rich in natural resources, Native American communities are the poorest in America. Their communities...

  10. New Research Facility to Remove Hurdles to Offshore Wind and...

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

    a shortage of critical data on the nature of offshore wind resources and the ocean environment. Current plans are for the Reference Facility for Offshore Renewable Energy (RFORE) ...

  11. Offshore Wind Power USA

    Broader source: Energy.gov [DOE]

    The Offshore Wind Power USA conference provides the latest offshore wind market updates and forecasts.

  12. Scale Models and Wind Turbines | Department of Energy

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

    Scale Models and Wind Turbines Scale Models and Wind Turbines Below is information about the student activity/lesson plan from your search. Grades 5-8, 9-12 Subject Wind Energy Summary As wind turbines and wind farms become larger to take advantage of the economies of scale and increased wind speeds at higher altitudes, their impact in the locales where they are sited becomes more dramatic. One place this is especially contentious is in the offshore environment of the Northeast. This lesson

  13. Tribal Wind Assessment by the Eastern Shoshone Tribe of the Wind River Reservation

    SciTech Connect (OSTI)

    Pete, Belvin; Perry, Jeremy W.; Stump, Raphaella Q.

    2009-08-28

    The Tribes, through its consultant and advisor, Distributed Generation Systems (Disgen) -Native American Program and Resources Division, of Lakewood CO, assessed and qualified, from a resource and economic perspective, a wind energy generation facility on tribal lands. The goal of this feasibility project is to provide wind monitoring and to engage in preproject planning activities designed to provide a preliminary evaluation of the technical, economic, social and environmental feasibility of developing a sustainable, integrated wind energy plan for the Eastern Shoshone and the Northern Arapahoe Tribes, who resides on the Wind River Indian Reservation. The specific deliverables of the feasibility study are: 1) Assessments of the wind resources on the Wind River Indian Reservation 2) Assessments of the potential environmental impacts of renewable development 3) Assessments of the transmission capacity and capability of a renewable energy project 4) Established an economic models for tribal considerations 5) Define economic, cultural and societal impacts on the Tribe

  14. WPA Omnibus Award MT Wind Power Outreach

    SciTech Connect (OSTI)

    Brian Spangler, Manager Energy Planning and Renewables

    2012-01-30

    The objective of this grant was to further the development of Montana??s vast wind resources for small, medium, and large scale benefits to Montana and the nation. This was accomplished through collaborative work with wind industry representatives, state and local governments, the agricultural community, and interested citizens. Through these efforts MT Dept Environmental Quality (DEQ) was able to identify development barriers, educate and inform citizens, as well as to participate in regional and national dialogue that will spur the development of wind resources. The scope of DEQ??s wind outreach effort evolved over the course of this agreement from the development of the Montana Wind Working Group and traditional outreach efforts, to the current focus on working with the state??s university system to deliver a workforce trained to enter the wind industry.

  15. Session: Wind industry project development

    SciTech Connect (OSTI)

    Gray, Tom; Enfield, Sam

    2004-09-01

    This first session at the Wind Energy and Birds/Bats workshop consisted of two presentations followed by a question and answer period. The session was intended to provide a general overview of wind energy product development, from the industry's perspective. Tom Gray of AWEA presented a paper titled ''State of the Wind Energy Industry in 2004'', highlighting improved performance and lower cost, efforts to address avian impacts, a status of wind energy in comparison to other energy-producing sources, and ending on expectations for the near future. Sam Enfield of Atlantic Renewable Energy Corporation presented a paper titled ''Key Factors for Consideration in Wind Plant Siting'', highlighting factors that wind facility developers must consider when choosing a site to build wind turbines and associated structures. Factors covered include wind resources available, ownership and land use patterns, access to transmission lines, accessibility and environmental impacts. The question and answer sum mary included topics related to risk taking, research and development, regulatory requirements, and dealing with utilities.

  16. Wind Farm Recommendation Report

    SciTech Connect (OSTI)

    John Reisenauer

    2011-05-01

    On April 21, 2011, an Idaho National Laboratory (INL) Land Use Committee meeting was convened to develop a wind farm recommendation for the Executive Council and a list of proposed actions for proceeding with the recommendation. In terms of land use, the INL Land Use Committee unanimously agrees that Site 6 is the preferred location of the alternatives presented for an INL wind farm. However, further studies and resolution to questions raised (stated in this report) by the INL Land Use Committee are needed for the preferred location. Studies include, but are not limited to, wind viability (6 months), bats (2 years), and the visual impact of the wind farm. In addition, cultural resource surveys and consultation (1 month) and the National Environmental Policy Act process (9 to 12 months) need to be completed. Furthermore, there is no documented evidence of developers expressing interest in constructing a small wind farm on INL, nor a specific list of expectations or concessions for which a developer might expect INL to cover the cost. To date, INL assumes the National Environmental Policy Act activities will be paid for by the Department of Energy and INL (the environmental assessment has only received partial funding). However, other concessions also may be expected by developers such as roads, fencing, power line installation, tie-ins to substations, annual maintenance, snow removal, access control, down-time, and remediation. These types of concessions have not been documented, as a request, from a developer and INL has not identified the short and long-term cost liabilities for such concessions should a developer expect INL to cover these costs. INL has not identified a go-no-go funding level or the priority this Wind Farm Project might have with respect to other nuclear-related projects, should the wind farm remain an unfunded mandate. The Land Use Committee recommends Legal be consulted to determine what, if any, liabilities exist with the Wind Farm Project and INLs rights and responsibilities in regards to access to the wind farm once constructed. An expression of interest is expected to go out soon to developers. However, with the potential of 2 years of study remaining for Site 6, the expectation of obtaining meaningful interest from developers should be questioned.

  17. WINDExchange: Selling Wind Power

    Wind Powering America (EERE)

    Market Sectors Printable Version Bookmark and Share Utility-Scale Wind Distributed Wind Motivations for Buying Wind Power Buying Wind Power Selling Wind Power Selling Wind Power Owners of wind turbines interconnected directly to the transmission or distribution grid, or that produce more power than the host consumes, can sell wind power as well as other generation attributes. Wind-Generated Electricity Electricity generated by wind turbines can be used to cover on-site energy needs

  18. Wind Turbine Wake-Redirection Control at the Fishermen's Atlantic City Windfarm: Preprint

    SciTech Connect (OSTI)

    Churchfield, M.; Fleming, P.; Bulder, B.; White, S.

    2015-05-06

    In this paper, we will present our work towards designing a control strategy to mitigate wind turbine wake effects by redirecting the wakes, specifically applied to the Fishermen’s Atlantic City Windfarm (FACW), proposed for deployment off the shore of Atlantic City, New Jersey. As wind turbines extract energy from the air, they create low-speed wakes that extend behind them. Full wake recovery Full wake recovery to the undisturbed wind speed takes a significant distance. In a wind energy plant the wakes of upstream turbines may travel downstream to the next row of turbines, effectively subjecting them to lower wind speeds, meaning these waked turbines will produce less power.

  19. How Do Wind Turbines Work? | Department of Energy

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

    Information Resources » Energy Basics » How Do Wind Turbines Work? How Do Wind Turbines Work? Wind turbines operate on a simple principle. The energy in the wind turns two or three propeller-like blades around a rotor. The rotor is connected to the main shaft, which spins a generator to create electricity. Click on the image to see an animation of wind at work. Wind turbines operate on a simple principle. The energy in the wind turns two or three propeller-like blades around a rotor. The rotor

  20. Assessment of Offshore Wind Energy Potential in the United States (Poster)

    SciTech Connect (OSTI)

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

    2011-05-01

    The development of an offshore wind resource database is one of the first steps necessary to understand the magnitude of the resource and to plan the distribution and development of future offshore wind power facilities. The U.S. Department of Energy supported the production of offshore wind resource maps and potential estimates for much of the United States. This presentation discusses NREL's 2010 offshore wind resources report; current U.S., regional, and state offshore maps; methodology for the wind mapping and validation; wind potential estimates; the Geographic Information Systems database; and future work and conclusions.