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 ...

  4. 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.

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

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

    ... 50 nm of shore. ...... 69 Table B15. New Hampshire offshore wind resource by wind speed interval, water depth and distance from shore ...

  6. Wind Resource Assessment and Characterization | Department of Energy

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

    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, renewable power to businesses and

  7. 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.

  8. 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. ...

  9. 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 offshore wind resources in the United States. Correct estimation of the energy available in the wind can make or break the economics of wind plant development. Wind mapping and validation techniques developed at the National Wind Technology Center (NWTC) along with collaborations with U.S. companies have produced

  10. Naval Station Newport Wind Resource Assessment. A Study Prepared...

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

    ... wind speeds, energy production for a generic 1.5 MW wind turbine, and capacity factor. ... resource at the selected sites at NAVSTA Newport is sufficient for a wind turbine project. ...

  11. 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)....

  12. 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.

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

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

    Detailed wind resource information can be found on NREL's Wind Research website. This site provides access to state and international wind resource maps. Wind Integration Datasets ...

  14. False Pass Wind Resource Report

    Energy Savers [EERE]

    False Pass Wind Resource Report False Pass meteorological tower, view to the east, D. ... Eagle River, Alaska D r a f t 1 False Pass Wind Resource Report P a g e | 2 Summary The ...

  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

  5. Nikolski, Alaska, Wind Resource Report

    Energy Savers [EERE]

    Nikolski, Alaska Wind Resource Report Report written by: Douglas Vaught, P.E., V3 Energy ... Roughness Class 1.77 (few trees) Power law exponent 0.174 (moderate wind shear) ...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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 >>...

  13. 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.

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

    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 ...

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

    Wind Powering America (EERE)

    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. Nebraska wind resource assessment first year results

    SciTech Connect (OSTI)

    Hurley, P.J.F.; Vilhauer, R.; Stooksbury, D.

    1996-12-31

    This paper presents the preliminary results from a wind resource assessment program in Nebraska sponsored by the Nebraska Power Association. During the first year the measured annual wind speed at 40 meters ranged from 6.5 - 7.5 m/s (14.6 - 16.8 mph) at eight stations across the state. The site selection process is discussed as well as an overview of the site characteristics at the monitoring locations. Results from the first year monitoring period including data recovery rate, directionality, average wind speeds, wind shear, and turbulence intensity are presented. Results from the eight sites are qualitatively compared with other midwest and west coast locations. 5 figs., 2 tabs.

  18. 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...

  19. 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...

  20. 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...

  1. 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

  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. 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.

  4. 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.

  5. 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. Wind Integration, Transmission, and Resource Assessment and Characterization Projects (3.35 MB)

  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 ...

  7. 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...

  8. 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...

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

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

    ......... 18 9. Solar Forecast Data ......Summary This is the Final Report for the project "Development of Regional Wind Resource ...

  10. 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...

  11. 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...

  12. 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.

  13. 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...

  14. WINDExchange: Wind Energy Regional Resource Centers

    Wind Powering America (EERE)

    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

  15. 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 8/17/2016 Publication Small Wind Econ. Dev. U.S. Department of Energy 2015 Wind Technologies Market Report 8/1/2016 News Econ. Dev. Business Network for Offshore Wind

  16. Wind Integration, Transmission, and Resource Assessment and

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

    Characterization Projects | Department of Energy Wind Integration, Transmission, and Resource Assessment and Characterization Projects Wind Integration, Transmission, and Resource Assessment and Characterization Projects From 2006 to 2014, DOE's Wind Program announced awards totaling more than $25 million for 41 projects focused on integration, transmission, and resource assessment and characterization. This report highlights each of these R&D efforts. Wind Integration, Transmission, and

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

    Office of Scientific and Technical Information (OSTI)

    decision-making in the policy community. While wind speed datasets with high spatial and temporal resolution are often ultimately used for detailed planning, simpler assumptions ...

  19. 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 &...

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

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

    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 ...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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:...

  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. 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......

  17. 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 ...

  18. 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...

  19. 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.

  20. 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...

  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. Wind speed power spectrum analysis for Bushland, Texas

    SciTech Connect (OSTI)

    Eggleston, E.D.

    1996-12-31

    Numerous papers and publications on wind turbulence have referenced the wind speed spectrum presented by Isaac Van der Hoven in his article entitled Power Spectrum of Horizontal Wind Speed Spectrum in the Frequency Range from 0.0007 to 900 Cycles per Hour. Van der Hoven used data measured at different heights between 91 and 125 meters above the ground, and represented the high frequency end of the spectrum with data from the peak hour of hurricane Connie. These facts suggest we should question the use of his power spectrum in the wind industry. During the USDA - Agricultural Research Service`s investigation of wind/diesel system power storage, using the appropriate wind speed power spectrum became a significant issue. We developed a power spectrum from 13 years of hourly average data, 1 year of 5 minute average data, and 2 particularly gusty day`s 1 second average data all collected at a height of 10 meters. While the general shape is similar to the Van der Hoven spectrum, few of his peaks were found in the Bushland spectrum. While higher average wind speeds tend to suggest higher amplitudes in the high frequency end of the spectrum, this is not always true. Also, the high frequency end of the spectrum is not accurately described by simple wind statistics such as standard deviation and turbulence intensity. 2 refs., 5 figs., 1 tab.

  4. 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...

  5. 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...

  6. 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.

  7. 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.

  8. 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.

  9. MEASUREMENT OF WIND SPEED FROM COOLING LAKE THERMAL IMAGERY

    SciTech Connect (OSTI)

    Garrett, A; Robert Kurzeja, R; Eliel Villa-Aleman, E; Cary Tuckfield, C; Malcolm Pendergast, M

    2009-01-20

    The Savannah River National Laboratory (SRNL) collected thermal imagery and ground truth data at two commercial power plant cooling lakes to investigate the applicability of laboratory empirical correlations between surface heat flux and wind speed, and statistics derived from thermal imagery. SRNL demonstrated in a previous paper [1] that a linear relationship exists between the standard deviation of image temperature and surface heat flux. In this paper, SRNL will show that the skewness of the temperature distribution derived from cooling lake thermal images correlates with instantaneous wind speed measured at the same location. SRNL collected thermal imagery, surface meteorology and water temperatures from helicopters and boats at the Comanche Peak and H. B. Robinson nuclear power plant cooling lakes. SRNL found that decreasing skewness correlated with increasing wind speed, as was the case for the laboratory experiments. Simple linear and orthogonal regression models both explained about 50% of the variance in the skewness - wind speed plots. A nonlinear (logistic) regression model produced a better fit to the data, apparently because the thermal convection and resulting skewness are related to wind speed in a highly nonlinear way in nearly calm and in windy conditions.

  10. 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...

  11. 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...

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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).

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

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

    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 ...

  18. 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,...

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

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

    More Documents & Publications U.S. Virgin Islands Wind Resources Update 2014 The Wind Forecast Improvement Project (WFIP): A PublicPrivate Partnership for Improving Short Term ...

  20. Flutter Speed Predictions for MW-Sized Wind Turbine Blades Don...

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

    Flutter Speed Predictions for MW-Sized Wind Turbine Blades Don W. Lobitz Sandia National ... Leishman, J. G., "Challenges in Modelling the Unsteady Aerodynamics of Wind Turbines," ...

  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

  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. 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 ...

  5. 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...

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

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

    Career Map: Resource List Wind Career Map: Resource List 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. Competencies for Careers in Renewable Energy Together with the Department of Labor, the Office of Energy Efficiency and Renewable Energy developed a comprehensive Renewable Energy Competency Model that includes wind energy job skills and knowledge as one of

  7. 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?

  8. 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:...

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

    Broader source: Energy.gov [DOE]

    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...

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

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

    and Lower Costs | Department of Energy 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. AWEA Wind Resource & Project Energy Assessment Conference | Department of

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

    Energy Resource & Project Energy Assessment Conference AWEA Wind Resource & Project Energy Assessment Conference September 27, 2016 8:00AM CDT to September 28, 2016 5:00PM CDT Minneapolis, MN 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

  13. 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

  14. Results from utility wind resource assessment programs in Nebraska, Colorado, and Arizona

    SciTech Connect (OSTI)

    Drapeau, C.L.

    1997-12-31

    Global Energy Concepts (GEC) has been retained by utilities in Colorado, Nebraska, and Arizona to site, install, and operate 21 wind monitoring stations as part of the Utility Wind Resource Assessment Program (U*WRAP). Preliminary results indicate wind speed averages at 40 meters (132 ft) of 6.5 - 7.4 m/s (14.5-16.5 mph) in Nebraska and 7.6 - 8.9 m/s (17.0-19.9 mph) in Colorado. The Arizona stations are not yet operational. This paper presents the history and current status of the 21 monitoring stations as well as preliminary data results. Information on wind speeds, wind direction, turbulence intensity, wind shear, frequency distribution, and data recovery rates are provided.

  15. 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.

  16. 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

  17. 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.

  18. 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

  19. 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.

  20. 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.

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

    DOE Patents [OSTI]

    Muljadi, Eduard

    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.

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

    DOE Patents [OSTI]

    Muljadi, Eduard

    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.

  3. 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 7/19/2016 News Siting Global Partners Launch

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

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

    In the early development of wind energy, the majority of wind turbines or wind turbine ... In most cases, wind turbine pitch angles can be adjusted to control the operation of the ...

  5. 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...

  6. 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.

  7. 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...

  8. 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...

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. Wind Energy Resource Basics | Department of Energy

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

    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 ...

  14. 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...

  15. 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.

  16. 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.

  17. 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.

  18. 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...

  19. 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:...

  20. 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...

  1. 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...

  2. NREL: Wind Research - Data and Resources

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

    Through this growing community, users can view, edit, add, and download data. Wind Energy Basics The turbines in use around the world today are nothing like the windmills used in ...

  3. Preliminary results of Aruba wind resource assessment

    SciTech Connect (OSTI)

    Guda, M.H.

    1996-12-31

    As part of a project to assess the possibilities for wind energy utilitization in the Dutch Antilles islands, windspeed and -direction data were collected in Aruba for two years, from March 1992 to February 1994. Five sites that were estimated to be representative for the islands` wind regimes, were monitored during this period: two sites on the windward coast, one east and one west; two inland sites, again one east and one west, and one site topping the cliffs overlooking the eastern windward coast. Additionally, twenty years worth of data were analyzed for the reference site at the airport, which is in the middle part of the island, on the leeward coast. Correlation calculations between these data and the data for the project sites were performed, in order to establish a methodology for estimating the long-term behavior of the wind regimes at these sites. 8 figs., 3 tabs.

  4. Twin Groves Wind Energy Facility Cut-in Speeds

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

    Currently, only operational mitigation (stopping turbine blades from spinning) during ... Most studies found at least a 50% reduction in bat fatalities when turbine cut-in speed ...

  5. 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.

  6. 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...

  7. 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...

  8. 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.

  9. Variable-Speed Wind Power System with Improved Energy Capture via

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

    Multilevel Conversion - Energy Innovation Portal Wind Energy Wind Energy Electricity Transmission Electricity Transmission Advanced Materials Advanced Materials Find More Like This Return to Search Variable-Speed Wind Power System with Improved Energy Capture via Multilevel Conversion National Renewable Energy Laboratory Contact NREL About This Technology Technology Marketing Summary Power converters are used to convert alternating current (AC) electric power from a fixed-frequency and

  10. 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.

  11. 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

  12. 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.

  13. 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.

  14. Adaptive pitch control for variable speed wind turbines

    DOE Patents [OSTI]

    Johnson, Kathryn E.; Fingersh, Lee Jay

    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.

  15. 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.

  16. Solar and Wind Resource Assessments for Afghanistan and Pakistan

    SciTech Connect (OSTI)

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

    2007-01-01

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

  17. Wind resource quality affected by high levels of renewables

    SciTech Connect (OSTI)

    Diakov, Victor

    2015-06-17

    For solar photovoltaic (PV) and wind resources, the capacity factor is an important parameter describing the quality of the resource. As the share of variable renewable resources (such as PV and wind) on the electric system is increasing, so does curtailment (and the fraction of time when it cannot be avoided). At high levels of renewable generation, curtailments effectively change the practical measure of resource quality from capacity factor to the incremental capacity factor. The latter accounts only for generation during hours of no curtailment and is directly connected with the marginal capital cost of renewable generators for a given level of renewable generation during the year. The Western U.S. wind generation is analyzed hourly for a system with 75% of annual generation from wind, and it is found that the value for the system of resources with equal capacity factors can vary by a factor of 2, which highlights the importance of using the incremental capacity factor instead. Finally, the effect is expected to be more pronounced in smaller geographic areas (or when transmission limitations imposed) and less pronounced at lower levels of renewable energy in the system with less curtailment.

  18. Wind resource quality affected by high levels of renewables

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

    Diakov, Victor

    2015-06-17

    For solar photovoltaic (PV) and wind resources, the capacity factor is an important parameter describing the quality of the resource. As the share of variable renewable resources (such as PV and wind) on the electric system is increasing, so does curtailment (and the fraction of time when it cannot be avoided). At high levels of renewable generation, curtailments effectively change the practical measure of resource quality from capacity factor to the incremental capacity factor. The latter accounts only for generation during hours of no curtailment and is directly connected with the marginal capital cost of renewable generators for a givenmore » level of renewable generation during the year. The Western U.S. wind generation is analyzed hourly for a system with 75% of annual generation from wind, and it is found that the value for the system of resources with equal capacity factors can vary by a factor of 2, which highlights the importance of using the incremental capacity factor instead. Finally, the effect is expected to be more pronounced in smaller geographic areas (or when transmission limitations imposed) and less pronounced at lower levels of renewable energy in the system with less curtailment.« less

  19. WIND SPEED AND ATMOSPHERIC STABILITY TRENDS FOR SELECTED UNITED STATES SURFACE STATIONS

    SciTech Connect (OSTI)

    Buckley, R; Allen H. Weber, A

    2006-11-01

    Recently it has been suggested that global warming and a decrease in mean wind speeds over most land masses are related. Decreases in near surface wind speeds have been reported by previous investigators looking at records with time spans of 15 to 30 years. This study focuses on United States (US) surface stations that have little or no location change since the late 1940s or the 1950s--a time range of up to 58 years. Data were selected from 62 stations (24 of which had not changed location) and separated into ten groups for analysis. The group's annual averages of temperature, wind speed, and percentage of Pasquill-Gifford (PG) stability categories were fitted with linear least squares regression lines. The results showed that the temperatures have increased for eight of the ten groups as expected. Wind speeds have decreased for nine of the ten groups. The mean slope of the wind speed trend lines for stations within the coterminous US was -0.77 m s{sup -1} per century. The percentage frequency of occurrence for the neutral (D) PG stability category decreased, while that for the unstable (B) and the stable (F) categories increased in almost all cases except for the group of stations located in Alaska.

  20. 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.

  1. 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.

  2. Wind Turbine Blade Design | GE Global Research

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

    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, renewable power to businesses and

  3. Low Wind Speed Technology Phase II: Integrated Wind Energy/Desalination System; General Electric Global Research

    SciTech Connect (OSTI)

    Not Available

    2006-03-01

    This fact sheet describes a subcontract with General Electric Global Research to explore wind power as a desirable option for integration with desalination technologies.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

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

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

    Wind Resources Update 2014 U.S. Virgin Islands Wind Resources Update 2014 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. U.S. Virgin Islands Wind Resources Update 2014 (11.47 MB) More Documents & Publications Wind Power

  6. 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...

  7. Natural Gas Resources of the Greater Green River and Wind River...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Natural Gas Resources of the Greater Green River and Wind River Basins ... Resource Type: Technical Report Research Org: National Energy Technology Laboratory, ...

  8. 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.

  9. Influence of wind speed averaging on estimates of dimethylsulfide emission fluxes

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

    Chapman, E. G.; Shaw, W. J.; Easter, R. C.; Bian, X.; Ghan, S. J.

    2002-12-03

    The effect of various wind-speed-averaging periods on calculated DMS emission fluxes is quantitatively assessed. Here, a global climate model and an emission flux module were run in stand-alone mode for a full year. Twenty-minute instantaneous surface wind speeds and related variables generated by the climate model were archived, and corresponding 1-hour-, 6-hour-, daily-, and monthly-averaged quantities calculated. These various time-averaged, model-derived quantities were used as inputs in the emission flux module, and DMS emissions were calculated using two expressions for the mass transfer velocity commonly used in atmospheric models. Results indicate that the time period selected for averaging wind speedsmore » can affect the magnitude of calculated DMS emission fluxes. A number of individual marine cells within the global grid show DMS emissions fluxes that are 10-60% higher when emissions are calculated using 20-minute instantaneous model time step winds rather than monthly-averaged wind speeds, and at some locations the differences exceed 200%. Many of these cells are located in the southern hemisphere where anthropogenic sulfur emissions are low and changes in oceanic DMS emissions may significantly affect calculated aerosol concentrations and aerosol radiative forcing.« less

  10. 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, Jan; Feingold, Graham; Yamaguchi, Takanobu

    2016-05-12

    Observed and projected trends in large-scale wind speed over the oceans prompt the question: how do marine stratocumulus clouds and their radiative properties respond to 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 over the course of a diurnal cycle, all else equal. In cloud-system resolving simulations, we find that higher wind speed leads to faster boundary layer growth and strongermore » entrainment. The dynamical driver 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 gm–2, longwave emissions are insensitive to LWP. This leads to the 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. Here, we find 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 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

  11. 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, Jan; Feingold, Graham; Yamaguchi, Takanobu

    2016-05-12

    Observed and projected trends in large-scale wind speed over the oceans prompt the question: how do marine stratocumulus clouds and their radiative properties respond to 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 over the course of a diurnal cycle, all else equal. In cloud-system resolving simulations, we find that higher wind speed leads to faster boundary layer growth and strongermore » entrainment. The dynamical driver 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, longwave emissions are insensitive to LWP. This leads to the 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 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 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

  12. 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

  13. 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.

  14. 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.

  15. 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

  16. 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

  17. 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...

  18. 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.

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

    Wind Powering America (EERE)

    Technical Report NREL/TP-500-45889 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

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

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

    Renewables » Wind Program Wind Program Energy Department Reports Show Strong Growth of U.S. Wind Power Energy Department Reports Show Strong Growth of U.S. Wind Power Annual reports analyzing the wind energy industry show continued rapid growth in wind power installations in 2015, demonstrating market resilience and underscoring the vitality of the U.S. wind energy market on a global scale. Read more Supercomputing Model Provides Insights from Higher Wind and Solar Generation in the Eastern

  1. 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.

  2. 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...

  3. 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.

  4. 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

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

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

    Photo by Rick Driscoll, NREL 25660 Chesapeake Light Tower facility will gather key data for unlocking the nation's vast offshore wind resource. According to the National Offshore ...

  6. 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)...

  7. Frequency Regulation and Oscillation Damping Contributions of Variable-Speed Wind Generators in the U.S. Eastern Interconnection (EI)

    SciTech Connect (OSTI)

    Liu, Yong; Gracia, Jose R,; King, Jr, Thomas J.; Liu, Yilu

    2014-05-16

    The U.S. Eastern Interconnection (EI) is one of the largest electric power grids in the world and is expected to have difficulties in dealing with frequency regulation and oscillation damping issues caused by the increasing wind power. On the other side, variable-speed wind generators can actively engage in frequency regulation or oscillation damping with supplementary control loops. This paper creates a 5% wind power penetration simulation scenario based on the 16 000-bus EI system dynamic model and developed the user-defined wind electrical control model in PSS (R) E that incorporates additional frequency regulation and oscillation damping control loops. We evaluated the potential contributions of variable-speed wind generations to the EI system frequency regulation and oscillation damping, and simulation results demonstrate that current and future penetrations of wind power are promising in the EI system frequency regulation and oscillation damping.

  8. Frequency Regulation and Oscillation Damping Contributions of Variable-Speed Wind Generators in the U.S. Eastern Interconnection (EI)

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

    Liu, Yong; Gracia, Jose R,; King, Jr, Thomas J.; Liu, Yilu

    2014-05-16

    The U.S. Eastern Interconnection (EI) is one of the largest electric power grids in the world and is expected to have difficulties in dealing with frequency regulation and oscillation damping issues caused by the increasing wind power. On the other side, variable-speed wind generators can actively engage in frequency regulation or oscillation damping with supplementary control loops. This paper creates a 5% wind power penetration simulation scenario based on the 16 000-bus EI system dynamic model and developed the user-defined wind electrical control model in PSS (R) E that incorporates additional frequency regulation and oscillation damping control loops. We evaluatedmore » the potential contributions of variable-speed wind generations to the EI system frequency regulation and oscillation damping, and simulation results demonstrate that current and future penetrations of wind power are promising in the EI system frequency regulation and oscillation damping.« less

  9. 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...

  10. 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...

  11. 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...

  12. 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.

  13. 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.

  14. 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.

  15. 2014 WIND POWER PROGRAM PEER REVIEW-RESOURCE CHARACTERIZATION

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

    303-384-7081 March 24, 2014 2 | Wind and Water Power Technologies Office eere.energy.gov ... Total Cost-Share 1 :0.150M 3 | Wind and Water Power Technologies Office eere.energy.gov ...

  16. 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...

  17. NWTC Helps Chart the World's Wind Resource Potential (Fact Sheet...

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

    Development of high-resolution (1 to 4 hours) forecasting tools will help energy producers proceed with new wind plants and minimize costs associated with wind generation. 35% or ...

  18. 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

  19. 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.

  20. 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

  1. Solar wind stream interaction: Electron temperature and heat flux rise in the low-speed stream

    SciTech Connect (OSTI)

    Alexander, P.; Duhau, S. )

    1990-11-01

    The strong compression produced in two-stream interaction regions in the solar wind is a local source of heating. The study of the distribution of that energy between heat and internal energy provides valuable information about transport processes. In the present work, the electron heat flux and temperature rise in the compression produced within the low-speed portion of the interaction region is predicted using a new heat conduction law valid for collisionless plasmas with isotropic electron temperature, introduced recently by one of the authors. Equations are found for the electron heat flux and temperature rise as functions of two parameters, one related to the strength of the compression and the other one to the heat flux at the boundaries of the region under study. These equations lead to agreement between theory and experiment.

  2. 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.

  3. 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.

  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. U.S. Virgin Islands Wind Resources Update 2014

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

    ... the wind measurement equipment and helping ensure accurate data were collected. ... MIDC Measurement and Instrumentation Data Center MW megawatt NREL National Renewable ...

  6. NREL's Wind Powering America Team Helps Indiana Develop Wind Resources (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-10-01

    How does a state advance, in just five years, from having no installed wind capacity to having more than 1000 megawatts (MW) of installed capacity? The Wind Powering America (WPA) initiative, based at the National Renewable Energy Laboratory (NREL), employs a state-focused approach that has helped accelerate wind energy deployment in many states. One such state is Indiana, which is now home to the largest wind plant east of the Mississippi.

  7. 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 ().

  8. 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...

  9. 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...

  10. 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,...

  11. Low Wind Speed Technology Phase II: Offshore Floating Wind Turbine Concepts: Fully Coupled Dynamic Response Simulations; Massachusetts Institute of Technology

    SciTech Connect (OSTI)

    Not Available

    2006-03-01

    This fact sheet describes a subcontract with Massachusetts Institute of Technology to study dynamic response simulations to evaluate floating platform concepts for offshore wind turbines.

  12. 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.

  13. 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...

  14. 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.

  15. Variable-Speed Wind Power Plant Operating With Reserve Power Capability: Preprint

    SciTech Connect (OSTI)

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

    2013-10-01

    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. Wind turbine generators with this capability can support the frequency stability of the grid. To provide governorresponse, wind turbines should be able to generate less power than the available wind power and hold the rest in reserves, ready to be accessed as needed. In this paper, we explore several ways to control wind turbine output to enable reserve-holding capability. The focus of this paper is on doubly-fed induction generator (also known as Type 3) and full-converter (also known as Type 4) windturbines.

  16. 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.

  17. 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...

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

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

    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

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

    SciTech Connect (OSTI)

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

    2005-09-01

    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.

  20. 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 *

  1. 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...

  2. 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.

  3. 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.

  4. Application of Ensemble Sensitivity Analysis to Observation Targeting for Short-term Wind Speed Forecasting

    SciTech Connect (OSTI)

    Zack, J; Natenberg, E; Young, S; Manobianco, J; Kamath, C

    2010-02-21

    The operators of electrical grids, sometimes referred to as Balancing Authorities (BA), typically make critical decisions on how to most reliably and economically balance electrical load and generation in time frames ranging from a few minutes to six hours ahead. At higher levels of wind power generation, there is an increasing need to improve the accuracy of 0- to 6-hour ahead wind power forecasts. Forecasts on this time scale have typically been strongly dependent on short-term trends indicated by the time series of power production and meteorological data from a wind farm. Additional input information is often available from the output of Numerical Weather Prediction (NWP) models and occasionally from off-site meteorological towers in the region surrounding the wind generation facility. A widely proposed approach to improve short-term forecasts is the deployment of off-site meteorological towers at locations upstream from the wind generation facility in order to sense approaching wind perturbations. While conceptually appealing, it turns out that, in practice, it is often very difficult to derive significant benefit in forecast performance from this approach. The difficulty is rooted in the fact that the type, scale, and amplitude of the processes controlling wind variability at a site change from day to day if not from hour to hour. Thus, a location that provides some useful forecast information for one time may not be a useful predictor a few hours later. Indeed, some processes that cause significant changes in wind power production operate predominantly in the vertical direction and thus cannot be monitored by employing a network of sensors at off-site locations. Hence, it is very challenging to determine the type of sensors and deployment locations to get the most benefit for a specific short-term forecast application. Two tools recently developed in the meteorological research community have the potential to help determine the locations and parameters to

  5. 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

  6. 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.

  7. Wind resource assessment handbook: Fundamentals for conducting a successful monitoring program

    SciTech Connect (OSTI)

    Bailey, B.H.; McDonald, S.L.; Bernadett, D.W.; Markus, M.J.; Elsholz, K.V.

    1997-04-01

    This handbook presents industry-accepted guidelines for planning and conducting a wind resource measurement program to support a wind energy feasibility initiative. These guidelines, which are detailed and highly technical, emphasize the tasks of selecting, installing, and operating wind measurement equipment, as well as collecting and analyzing the associated data, once one or more measurement sites are located. The handbook's scope encompasses state-of-the-art measurement and analysis techniques at multiple heights on tall towers (e.g., 40 m) for a measurement duration of at least one year. These guidelines do not represent every possible method of conducting a quality wind measurement program, but they address the most important elements based on field-proven experience. The intended audience for this handbook is any organization or individual who desires the planning framework and detailed procedures for conducting a formally structured wind measurement program. Personnel from the management level to field technicians will find this material applicable. The organizational aspects of a measurement program, including the setting of clear program objectives and designing commensurate measurement and quality assurance plans, all of which are essential to ensuring the program's successful outcome, are emphasized. Considerable attention is also given to the details of actually conducting the measurement program in its many aspects, from selecting instrumentation that meets minimum performance standards to analyzing and reporting on the collected data. 5 figs., 15 tabs.

  8. 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).

  9. 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.

  10. 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.

  11. 20% Wind Energy by 2030 - Chapter 2: Wind Turbine Technology Summary Slides

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

    2: Wind Turbine Technology Summary Slides Anatomy of a 1.5-MW wind turbine Nacelle enclosing: * Low-speed shaft * Gearbox * Generator, 1.5 MW * Electrical controls * Blade pitch controls Rotor Hub Tower, 80 m Minivan Rotor blades: * Shown feathered * Length, 37-m Larger and taller turbines are needed to capture optimal wind resources Wind power is competitive with wholesale prices Source: Wiser and Bolinger, 2009 Note: Wholesale price range reflects flat block of power across 23 pricing

  12. Utility-scale variable-speed wind turbines using a doubly-fed generator with a soft-switching power converter

    SciTech Connect (OSTI)

    Weigand, C.H.; Lauw, H.K.; Marckx, D.A.

    1996-12-31

    Utility-scale wind turbines operating at variable RPM have been studied for a considerable period of time. Whereas the increase in energy output originally has been considered the principal benefit of variable-speed operation, the ability to tightly control the drive-train torque by electronic means is becoming another very important cost factor, especially for turbine ratings above 500 kilowatts. This cost benefit becomes even more significant as optimum turbine ratings today are approaching (and surpassing) 1 Megawatt. Having identified the benefits for the turbine, the designer is confronted with the task of finding the most cost-effective variable-speed generation system which allows him to make use of the benefits, yet does not introduce well-known electrical problems associated with state-of-the-art variable-speed generator controls, such as drastically reduced generator winding life, excessive harmonics on the utility, and poor utility power factor. This paper will indicate that for high-power (> 500 kW), utility-scale wind turbines a doubly-fed generator system in connection with a soft-switching resonant power converter is the least-cost variable-speed generation system offering all of the desired benefits, yet avoids the introduction of the potential electrical problems stated above. 3 refs., 3 figs., 1 tab.

  13. 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

  14. 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 ...

  15. A GIS-assisted approach to wide-area wind resource assessment and site selection for the state of Colorado

    SciTech Connect (OSTI)

    Brower, M.C.; Hurley, P.; Simon, R.

    1996-12-31

    This paper describes the methodology and results of a wide-area wind resource assessment and site selection in Colorado. This was the first phase in a three-part assessment and monitoring program conducted for the State of Colorado Office of Energy Conservation and several collaborating utilities. The objective of this phase was to identify up to 20 candidate sites for evaluation and possible long-term monitoring. This was accomplished using a geographic information system (GIS), which takes into account such factors as topography, existing wind resource data, locations of transmission lines, land cover, and land use. The resulting list of sites recommended for evaluation in Phase 2 of the study includes locations throughout Colorado, but most are in the eastern plains. The GIS wind siting model may be modified and updated in the future as additional information becomes available. 3 figs., 1 tab.

  16. 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.

  17. Statistical and Spectral Analysis of Wind Characteristics Relevant to Wind Energy Assessment Using Tower Measurements in Complex Terrain

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

    Belu, Radian; Koracin, Darko

    2013-01-01

    The main objective of the study was to investigate spatial and temporal characteristics of the wind speed and direction in complex terrain that are relevant to wind energy assessment and development, as well as to wind energy system operation, management, and grid integration. Wind data from five tall meteorological towers located in Western Nevada, USA, operated from August 2003 to March 2008, used in the analysis. The multiannual average wind speeds did not show significant increased trend with increasing elevation, while the turbulence intensity slowly decreased with an increase were the average wind speed. The wind speed and direction weremore » modeled using the Weibull and the von Mises distribution functions. The correlations show a strong coherence between the wind speed and direction with slowly decreasing amplitude of the multiday periodicity with increasing lag periods. The spectral analysis shows significant annual periodicity with similar characteristics at all locations. The relatively high correlations between the towers and small range of the computed turbulence intensity indicate that wind variability is dominated by the regional synoptic processes. Knowledge and information about daily, seasonal, and annual wind periodicities are very important for wind energy resource assessment, wind power plant operation, management, and grid integration.« less

  18. 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.

  19. 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

  20. 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,

  1. 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.

  2. 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....

  3. 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...

  4. 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

  5. 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.

  6. 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.

  7. 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...

  8. Wind Gallery | Department of Energy

    Office of Environmental Management (EM)

    Supports the structure of the turbine. Because wind speed increases with height, taller ... Measures wind direction and communicates with the yaw drive to orient the turbine properly ...

  9. 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.

  10. Resources

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

    Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering ...

  11. How to measure the wind accurately in icing conditions

    SciTech Connect (OSTI)

    Kenyon, P.R.; Blittersdorf, D.C.

    1995-12-31

    Atmospheric icing occurs frequently in the northwestern, Midwestern and northeastern United States from early October through April at locations with high average wind speeds. It has caused wind data recovery problems at sites as far south as Texas. Icing slows anemometers used to assess the wind resource. Data recovered from sites prone to icing will show lower average wind speeds than actual, undervaluing them. The assessment of a wind site must present the actual wind potential. Anemometers used at these sites must remain free of ice. This report presents a description of icing types and the data distortion they cause based on NRG field experience. A brief history of anti-icing anemometers available today for remote site and turbine site monitoring follows. Comparative data of NRG`s IceFree anemometers and the industry standard unheated anemometer is included.

  12. Eastern Wind Integration Data Set | Grid Modernization | NREL

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

    Wind power plant locations were determined using a proprietary AWS Truepower wind speed ... The wind speed and power output time series for each wind power plant were computed by ...

  13. 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.

  14. WINDExchange: Wind Maps and Data

    Wind Powering America (EERE)

    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

  15. 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.

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

    SciTech Connect (OSTI)

    Orrell, Alice C.; Dixon, Douglas R.

    2011-01-18

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

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

    SciTech Connect (OSTI)

    Ibanez, E.; Milligan, M.

    2012-02-01

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

  18. Resources

    Broader source: Energy.gov [DOE]

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

  19. 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.

  20. 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:...

  1. 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...

  2. 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. ...

  3. 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. ...

  4. Key Activities in Wind Energy | Department of Energy

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

    help communities weigh the benefits and costs of wind energy, understand the deployment ... to electricity supply and demand, wind forecasting, and wind speed variability Develop ...

  5. 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 askUS - Operations Unified Services Portal 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

  6. Wind turbine

    DOE Patents [OSTI]

    Cheney, Jr., Marvin C.

    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.

  7. Wind energy conversion system

    DOE Patents [OSTI]

    Longrigg, Paul

    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.

  8. WINDExchange: Wind Energy Market Sectors

    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 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

  9. DOE Science Showcase - Wind Power

    Office of Scientific and Technical Information (OSTI)

    Profiling General Compression: A River of Wind, ScienceCinema, multimedia Solar and Wind Energy Resource Assessment (SWERA) Data from the National Renewable Energy Library and ...

  10. 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

  11. 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.

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

    Broader source: Energy.gov [DOE]

    DOE's webinars include information on the economic impact of offshore wind, tools to develop better clean energy financing programs, and more.

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

    SciTech Connect (OSTI)

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

    2007-09-10

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

  14. 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.

  15. 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

  16. New Zealand and Australia wind energy in a non subsidised market environment

    SciTech Connect (OSTI)

    Lieshout, P. van

    1996-12-31

    Significant preliminary work has been undertaken by New Zealand and Australian Power/Generation Companies regarding Wind Power. Turbines are installed in Australia and New Zealand to test the wind and the technical applicability in the Australian wind diesel and the New Zealand high wind speed environment. Projects in Esperance, Thursday Island and King Island illustrate hybrid wind diesel applications. A single Wind Turbine Generator (WTG) has been successfully operated in New Zealand for the last 3 years. A new 3.5 MW wind farm is operational and Resource Consent has been granted for a 65 MW wind farm in New Zealand. Design Power is very proud to be involved in many of the New Zealand and Australian projects. It is obvious that wind power is just starting here, however the start has been promising and it is expected that wind power is here to stay. This paper will address some of the issues associated with wind power in New Zealand and Australia, particularly those that are different from Europe and America. It shows the opportunities and challenges regarding the operation of WTGs in these countries. It addresses the non subsidized electrical pricing structure and the influence of the economically necessary high wind speeds or diesel systems on the choice of technology, particularly the control algorithm of WTGs and the subsystems. It reviews several of the issues associated with predicting the amount of energy that a WTG can generate, again taking into account the high wind speed control algorithms. It further addresses the issue of embedded generation and the influence that a wind farm might have on the electrical network. It continues to address issues associated with wind diesel systems. The paper concludes that wind power will be viable in the near future both in New Zealand and Australia, but also that care should be taken with data analysis and hardware choices during the next phase of implementation of wind power in New Zealand and Australia. 7 figs.

  17. Your wind driven generator

    SciTech Connect (OSTI)

    Wolff, B.

    1984-01-01

    Wind energy pioneer Benjamin Lee Wolff offers practical guidance on all aspects of setting up and operating a wind machine. Potential builders will learn how to: determine if wind energy is suitable for a specific application; choose an appropriate machine; assess the financial costs and benefits of wind energy; obtain necessary permits; sell power to local utilities; and interpret a generator's specifications. Coverage includes legislation, regulations, siting, and operation. While describing wind energy characteristics, Wolff explores the relationships among wind speed, rotor diameter, and electrical power capacity. He shows how the power of wind energy can be tapped at the lowest cost.

  18. Environmental Wind Projects | Department of Energy

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

    Environmental 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. Environmental Projects Report 2006-2015 (2.24 MB) More Documents & Publications Testing, Manufacturing, and Component Development Projects Wind Integration, Transmission, and Resource Assessment and Characterization Projects Wind Integration, Transmission, and Resource Assessment and Characterization Pr

  19. 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 2016. Offshore Wind Energy Projects 2006-2016 (4.2 MB) More Documents & Publications Testing, Manufacturing, and Component Development Projects Wind Integration, Transmission, and Resource Assessment and Characterization Projects Wind Integration, Transmission, and Resource Assessment and Characterization Projects

  20. 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.

  1. Eastern Wind Integration and Transmission Study: Executive Summary...

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

    ... the weather of historical years and generate a four-dimensional gridded wind-speed data set. A wind speed time series data set can be extracted and converted to wind power output. ...

  2. 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.

  3. Compressed air energy storage system reservoir size for a wind energy baseload power plant

    SciTech Connect (OSTI)

    Cavallo, A.J.

    1996-12-31

    Wind generated electricity can be transformed from an intermittent to a baseload resource using an oversized wind farm in conjunction with a compressed air energy storage (CAES) system. The size of the storage reservoir for the CAES system (solution mined salt cavern or porous media) as a function of the wind speed autocorrelation time (C) has been examined using a Monte Carlo simulation for a wind class 4 (wind power density 450 W m{sup -2} at 50 m hub height) wind regime with a Weibull k factor of 2.5. For values of C typically found for winds over the US Great Plains, the storage reservoir must have a 60 to 80 hour capacity. Since underground reservoirs account for only a small fraction of total system cost, this larger storage reservoir has a negligible effect on the cost of energy from the wind energy baseload system. 7 refs., 2 figs., 1 tab.

  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. 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.

  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. 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. The Competition provides students

  9. 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.

  10. 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...

  11. See the Wind

    Office of Energy Efficiency and Renewable Energy (EERE)

    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 sky, and is why we are starting to see wind turbines in the plains and out in the ocean near the coast. Teacher background and assessment sheets are provided.

  12. 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...

  13. 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...

  14. Hawaii Solar and Wind Integration Studies | Grid Modernization...

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

    the effects of high penetrations of solar and wind energy on the operations of the electric ... Development of Regional Wind Resource and Wind Plant Output Datasets for the ...

  15. 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...

  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. 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

  18. Information Resources | Department of Energy

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

    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 to make

  19. Doppler Lidar Wind Value-Added Product (Technical Report) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Wind Value-Added Product Citation Details In-Document Search Title: Doppler Lidar Wind Value-Added Product Wind speed and direction, together with pressure, temperature, and ...

  20. WINDExchange: Information Resources

    Wind Powering America (EERE)

    Information Resources A range of WINDExchange resources are available, including links to relevant publications, podcasts, and webinars about wind energy topics. Annual Reports Screenshot of the 2015 Wind Technologies Market Report 2015 Wind Technologies Market Report The report provides a comprehensive overview of 2015 trends in the U.S. wind industry and wind power market. Lawrence Berkeley National Laboratory draws from a variety of data sources and covers a broad range of topics. Screenshot

  1. 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.

  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. NREL: Wind Research - News Release Archives

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

    impacts from wind, coal, or natural gas power generation projects. August 10, 2011 MISO Furthers Wind Integration into Market Renewable energy resources can participate ...

  4. 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...

  5. 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.

  6. 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...

  7. 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.

  8. 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 (1990–2014) 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.

  9. 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).

  10. 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.

  11. Wind Generator Modeling

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

    Wind Events Wind Events Below is an industry calendar with meetings, conferences, and webinars of interest to the wind energy technology communities. Working in Offshore Wind: Webinar and Panel Discussion September 9, 2016 9:30AM to 11:30AM EDT Energy Department's Wind Industry Update: A WINDExchange Webinar September 21, 2016 3:00PM to 4:00PM EDT AWEA Wind Resource & Project Energy Assessment Conference September 27, 2016 8:00AM CDT to September 28, 2016 5:00PM CDT Energy Department's

  12. Offshore Wind RD&D: Large Offshore Rotor Development

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

    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

  13. Renaissance for wind power

    SciTech Connect (OSTI)

    Flavin, C.

    1981-10-01

    Wind research and development during the 1970s and recent studies showing wind to be a feasible source of both electrical and mechanical power are behind the rapid expansion of wind energy. Improved technology should make wind energy economical in most countries having sufficient wind and appropriate needs. A form of solar energy, winds form a large pattern of global air circulation because the earth's rotation causes differences in pressure and oceans cause differences in temperature. New development in the ancient art of windmill making date to the 1973 oil embargo, but wind availability must be determined at local sites to determine feasibility. Whether design features of the new technology and the concept of large wind farms will be incorporated in national energy policies will depend on changing attitudes, acceptance by utilities, and the speed with which new information is developed and disseminated. 44 references, 6 figures. (DCK)

  14. 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.

  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

  16. 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

  17. 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

  18. Wind Turbine Blade Design

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

    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 turbines and teacher handouts are included in this document and at the Web site.

  19. 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.

  20. Wind Turbine Basics | Department of Energy

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

    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 ...

  1. 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...

  2. 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.

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

    SciTech Connect (OSTI)

    Chin, H S

    2005-07-26

    Wind power is the fastest growing renewable energy technology and electric power source (AWEA, 2004a). This renewable energy has demonstrated its readiness to become a more significant contributor to the electricity supply in the western U.S. and help ease the power shortage (AWEA, 2000). The practical exercise of this alternative energy supply also showed its function in stabilizing electricity prices and reducing the emissions of pollution and greenhouse gases from other natural gas-fired power plants. According to the U.S. Department of Energy (DOE), the world's winds could theoretically supply the equivalent of 5800 quadrillion BTUs of energy each year, which is 15 times current world energy demand (AWEA, 2004b). Archer and Jacobson (2005) also reported an estimation of the global wind energy potential with the magnitude near half of DOE's quote. Wind energy has been widely used in Europe; it currently supplies 20% and 6% of Denmark's and Germany's electric power, respectively, while less than 1% of U.S. electricity is generated from wind (AWEA, 2004a). The production of wind energy in California ({approx}1.2% of total power) is slightly higher than the national average (CEC & EPRI, 2003). With the recently enacted Renewable Portfolio Standards calling for 20% of renewables in California's power generation mix by 2010, the growth of wind energy would become an important resource on the electricity network. Based on recent wind energy research (Roulston et al., 2003), accurate weather forecasting has been recognized as an important factor to further improve the wind energy forecast for effective power management. To this end, UC-Davis (UCD) and LLNL proposed a joint effort through the use of UCD's wind tunnel facility and LLNL's real-time weather forecasting capability to develop an improved regional wind energy forecasting system. The current effort of UC-Davis is aimed at developing a database of wind turbine power curves as a function of wind speed and

  4. CONFRRM Solar Energy Resource Data: Data from the Cooperative Network for Renewable Resource Measurements

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

    The Cooperative Network for Renewable Resource Measurements (CONFRRM) is a cooperative effort between NREL and other agencies to conduct long-term solar radiation and wind measurements at selected locations in the United States. CONFRRM expands the geographic coverage of measurement locations and provides high quality data for determining site-specific resources, as well as data for the validation and testing of models to predict available resources based on meteorological or satellite data. Twelve sites are currently active in the CONFRRM network. CONFRRM complements and provides additional geographic coverage to the National Oceanic and Atmospheric Administration's (NOAA's) Integrated Surface Irradiance Study (ISIS) network. Solar data elements measured and reported by the CONFRRM sites include global horizontal irradiance (GHI), direct normal irradiance (DNI), diffuse horizontal irradiance (DHI), and global horizontal irradiance measured with a LI-COR pyranometer. Meteorological data include air temperature, relative humidity, pressure, wind speed, wind direction and peak wind speed. Data logger temperature and battery voltage may also be reported. Prior to January 1, 1996, five CONFRRM sites together with South Caroline State College in Orangeburg, South Carolina, made up the Historically Black Colleges and Universities (HBCU) Solar Radiation Monitoring Network, located in the Southeastern United States. In January 1997 the HBCU sites became part of CONFRRM.

  5. Division of Energy and Mineral Resources Management - Projects

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

    ... Agua Agua Caliente Caliente Renewable Resource Renewable Resource Assesment Assesment FY 2004 FY 2004 Focus on wind and Focus on wind and biodiesel biodiesel Business Opportunity ...

  6. 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

  7. Lummi Indian Reservation Wind Energy Development Feasibility...

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

    Lummi Indian Reservation Wind Energy Development Feasibility Assessment Jeremy Freimund, Water Resources Manager Victor Johnson, GISWater Resources Tech. III Lummi Natural ...

  8. 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...

  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. 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

  11. NREL: Wind Research - Grid Integration

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

    Grid Integration Photoshop art created from two NREL-Image Gallery photos of sunset view of electrical power towers combined with wind machines. Photo Illustration by Raymond David / NREL At the National Wind Technology Center (NWTC), partners can study the interactions between wind power technologies and the utility grid to gain a greater understanding of how variable generation resources such as wind energy, impact the utility grid and how to increase the percentage of wind generation in our

  12. 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

  13. Atmosphere to Electrons: Enabling the Wind Plant of Tomorrow

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

    ... measures wind speed and wind direction offshore at turbine hub-height and across the blade span. ... In simulations of existing wind farms, increases in energy capture of 3% have ...

  14. NREL: Wind Research - International Wind Resource Maps

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

    Cuba Dominican Republic El Salvador Fiji Islands Ghana Guatemala Haiti Honduras Indonesia (specific areas) Laos Mexico (specific areas) Mongolia Nicaragua Pakistan Papua New Guinea ...

  15. 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.

  16. 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...

  17. Cherokee Nation Enterprises - Wind Development

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

    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

  18. Scale Models and Wind Turbines

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

    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 explores scale models and the issues surrounding models and their accuracy when developing a large wind farm. Worksheets are included.

  19. 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...

  20. 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)

  1. 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)

  2. 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.

  3. 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

  4. 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...

  5. 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:...

  6. Wind Energy Benefits, Wind Powering America (WPA) (Fact Sheet), Wind And Water Power Program (WWPP)

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  7. Energy in the Wind

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

    Provi and BP Energy in the Wind - Exploring Basic Electrical Concepts by Modeling Wind Turbines Curriculum: Wind Power (simple machines, aerodynamics, weather/climatology, leverage, mechanics, atmospheric pressure, and energy resources/transformations) Grade Level: High School Small groups: 2 students Time: Introductory packet will take 2-3 periods. Scientific investigation will take 2-3 periods. (45-50 minute periods) Summary: Students explore basic electrical concepts. Students are introduced

  8. 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.

  9. 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.

  10. 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.

  11. Wind farm array wake losses

    SciTech Connect (OSTI)

    Baker, R.W.; McCarthy, E.F.

    1997-12-31

    A wind turbine wake study was conducted in the summer of 1987 at an Altamont Pass wind electric generating facility. The wind speed deficits, turbulence, and power deficits from an array consisting of several rows of wind turbines is discussed. A total of nine different test configurations were evaluated for a downwind spacing ranging from 7 rotor diameters (RD) to 34 RD and a cross wind spacing of 1.3 RD and 2.7 RD. Wake power deficits of 15% were measured at 16 RD and power losses of a few percent were even measurable at 27 RD for the closer cross wind spacing. For several rows of turbines separated by 7-9 RD the wake zones overlapped and formed compound wakes with higher velocity deficits. The wind speed and direction turbulence in the wake was much higher than the ambient turbulence. The results from this study are compared to the findings from other similar field measurements.

  12. Kansas Wind Energy Consortium

    SciTech Connect (OSTI)

    Gruenbacher, Don

    2015-12-31

    This project addresses both fundamental and applied research problems that will help with problems defined by the DOE “20% Wind by 2030 Report”. In particular, this work focuses on increasing the capacity of small or community wind generation capabilities that would be operated in a distributed generation approach. A consortium (KWEC – Kansas Wind Energy Consortium) of researchers from Kansas State University and Wichita State University aims to dramatically increase the penetration of wind energy via distributed wind power generation. We believe distributed generation through wind power will play a critical role in the ability to reach and extend the renewable energy production targets set by the Department of Energy. KWEC aims to find technical and economic solutions to enable widespread implementation of distributed renewable energy resources that would apply to wind.

  13. 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.

  14. 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...

  15. 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.

  16. 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.

  17. Active control system for high speed windmills

    SciTech Connect (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.

  18. Active control system for high speed windmills

    SciTech Connect (OSTI)

    Avery, Don E.

    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.

  19. Optimum propeller wind turbines

    SciTech Connect (OSTI)

    Sanderson, R.J.; Archer, R.D.

    1983-11-01

    The Prandtl-Betz-Theodorsen theory of heavily loaded airscrews has been adapted to the design of propeller windmills which are to be optimized for maximum power coefficient. It is shown that the simpler, light-loading, constant-area wake assumption can generate significantly different ''optimum'' performance and geometry, and that it is therefore not appropriate to the design of propeller wind turbines when operating in their normal range of high-tip-speed-to-wind-speed ratio. Design curves for optimum power coefficient are presented and an example of the design of a typical two-blade optimum rotor is given.

  20. 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

  1. 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...

  2. PNNL Reviews Wildlife-Interaction Monitoring for Offshore Wind...

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

    ... higher penetration of wind power utilizing expertise in ... resources, operating reserves, area control error, and control room use of forecasting to address wind and load ...

  3. DOE Science Showcase - Wind Power | OSTI, US Dept of Energy,...

    Office of Scientific and Technical Information (OSTI)

    Profiling General Compression: A River of Wind, ScienceCinema, multimedia Solar and Wind Energy Resource Assessment (SWERA) Data from the National Renewable Energy Library and ...

  4. Wind & Hydro Energy Feasiblity Study for the Yurok Tribe

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

    showed that wind, hydro, biomass and solar energy resources are available on the Reservation. * Solar is appropriate only at the facility household scale. * Wind, hydro and ...

  5. 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...

  6. Salazar, Chu Announce Major Offshore Wind Initiatives | Department...

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

    projects that support offshore wind energy deployment and several high priority Wind Energy ... industry in a way that reduces conflict with other ocean uses and protects resources. ...

  7. 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...

  8. Energy Department Releases Report, Evaluates Potential for Wind...

    Energy Savers [EERE]

    The new report highlights the potential for technical advancements to unlock wind resources in regions with limited wind deployment today, such as the Southeast. These new regions ...

  9. 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.

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

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

    Access Better Wind Resources and Reduce Costs | Department of Energy .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.

  11. 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.

  12. 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.

  13. Wind Power America Final Report

    SciTech Connect (OSTI)

    Spangler, Brian; Montgomery, Kathi; Cartwright, Paul

    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 DEQ was able to identify development barriers, educate and inform citizens as well as participate in regional and national dialogue that will spur the development of wind resources

  14. 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

  15. 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:...

  16. 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...

  17. Office of Information Resources | Department of Energy

    Energy Savers [EERE]

    Meeting, May 22, 2008 Office of Information Resources (343.65 KB) More Documents & Publications CERTIFICATE OF AUTHENTICITY Office of Information Resources U.S. Offshore Wind ...

  18. 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.

  19. Doppler Lidar Wind Value-Added Product

    SciTech Connect (OSTI)

    Newsom, R. K.; Sivaraman, C.; Shippert, T. R.; Riihimaki, L. D.

    2015-07-01

    Wind speed and direction, together with pressure, temperature, and relative humidity, are the most fundamental atmospheric state parameters. Accurate measurement of these parameters is crucial for numerical weather prediction. Vertically resolved wind measurements in the atmospheric boundary layer are particularly important for modeling pollutant and aerosol transport. Raw data from a scanning coherent Doppler lidar system can be processed to generate accurate height-resolved measurements of wind speed and direction in the atmospheric boundary layer.

  20. Western Wind and Solar Integration Study | Grid Modernization...

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

    Can we integrate large amounts of wind and solar energy into the electric power system of the ... Development of Regional Wind Resource and Wind Plant Output Datasets Phase 2 Research ...

  1. NREL: Transmission Grid Integration - Western Wind and Solar...

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

    of integrating up to 35% wind and solar energy in the WestConnect subregion and, more ... Development of Regional Wind Resource and Wind Plant Output Datasets This report ...

  2. WINDExchange Wind Energy Benefits Fact Sheet

    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. Learn more about the pros and cons of wind energy.

  3. 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 7/15/2016 DC News Schools Small Wind Penn State University Puts Collegiate Wind Competition-Winning Turbine on Display 7/5/2016 News Video

  4. 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.

  5. 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.

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

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

    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 ...

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

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

    Information Resources » Frequently Asked Questions 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

  8. Offshore Wind

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

    ... HomeStationary PowerEnergy Conversion EfficiencyWind EnergyOffshore Wind Offshore Wind Tara Camacho-Lopez 2016-0... March 2014, Barcelona, Spain, PO 225. Griffith, D.T., and ...

  9. Wind Energy Teachers Guide

    SciTech Connect (OSTI)

    anon.

    2003-01-01

    This guide, created by the American Wind Association, with support from the U.S. Department of Energy, is a learning tool about wind energy targeted toward grades K-12. The guide provides teacher information, ideas for sparking children's and students' interest, suggestions for activities to undertake in and outside the classroom, and research tools for both teachers and students. Also included is an additional resources section.

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

    Energy Savers [EERE]

    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: ...

  12. 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 20percent_summary_chap3.pdf (818.34 KB) More Documents & Publications 20% Wind Energy by 2030 - Chapter 2: Wind Turbine Technology Summary Slides 20% Wind Energy by 2030 - Chapter 1: Executive

  13. 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...

  14. 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...

  15. 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

  16. Wind News

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

    ... laboratory mission technologies and ... By admin| ... participating in the Wind Turbine Radar Interference ... Association AWEA WindPower 2015 event in Orlando, Florida. ...

  17. 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.

  18. Wind Events | Department of Energy

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

    Events Wind Events Below is an industry calendar with meetings, conferences, and webinars of interest to the wind energy technology communities. AWEA Wind Resource & Project Energy Assessment Conference September 27, 2016 8:00AM CDT to September 28, 2016 5:00PM CDT AWEA Wind Energy Finance & Investment Conference October 5, 2016 8:00AM EDT to October 6, 2016 5:00PM EDT AWEA Offshore WINDPOWER 2016 October 25, 2016 8:00AM EDT to October 26, 2016 5:00PM EDT AWEA Wind Energy Fall Symposium

  19. WINDExchange: U.S. Installed Wind Capacity

    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 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,

  20. 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.

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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.

  7. Articles about Wind Program Analysis | Department of Energy

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

    Cause the Majority of Wind Turbine Gearbox Failures In the past, the wind energy ... three major components: a single-stage gearbox, a medium-speed permanent-magnet ...

  8. 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).

  9. 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...

  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. Lower Sioux Indian Community Wind Energy Development

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

    Energy Goals * Provide clean and environmentally safe energy resources for tribal reservation by installing wind turbine in community * Sell excess power to nearby power utility * ...

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

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

    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 ...

  15. Final Report on the Creation of the Wind Integration National...

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

    ... was not considered, since DOE is investigating offshore floating platforms. ... speed for a cell with a single turbine to a 5% reduction in wind speed for a cell with 8 turbines ...

  16. Wind/Hybrid Electricity Applications

    SciTech Connect (OSTI)

    McDaniel, Lori

    2001-03-31

    Wind energy is widely recognized as the most efficient and cost effective form of new renewable energy available in the Midwest. New utility-scale wind farms (arrays of large turbines in high wind areas producing sufficient energy to serve thousands of homes) rival the cost of building new conventional forms of combustion energy plants, gas, diesel and coal power plants. Wind energy is not subject to the inflationary cost of fossil fuels. Wind energy can also be very attractive to residential and commercial electric customers in high wind areas who would like to be more self-sufficient for their energy needs. And wind energy is friendly to the environment at a time when there is increasing concern about pollution and climate change. However, wind energy is an intermittent source of power. Most wind turbines start producing small amounts of electricity at about 8-10 mph (4 meters per second) of wind speed. The turbine does not reach its rated output until the wind reaches about 26-28 mph (12 m/s). So what do you do for power when the output of the wind turbine is not sufficient to meet the demand for energy? This paper will discuss wind hybrid technology options that mix wind with other power sources and storage devices to help solve this problem. This will be done on a variety of scales on the impact of wind energy on the utility system as a whole, and on the commercial and small-scale residential applications. The average cost and cost-benefit of each application along with references to manufacturers will be given. Emerging technologies that promise to shape the future of renewable energy will be explored as well.

  17. 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.

  18. 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

    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 School’s 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 0°C and -20°C and wind speeds up to 40 miles per hour in the tunnel’s test section. The tunnel’s cooling unit maintained the tunnel temperature within ±0.2°C. The coatings evaluated in the study were Boyd Coatings Research Company’s 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

  19. 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.

  20. 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

  1. 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

  2. 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

  3. Offshore Wind Market Acceleration Projects | Department of Energy

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

    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 Electromagnetic interference

  4. 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.

  5. 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.

  6. 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.

  7. DOE Science Showcase - Wind Power | OSTI, US Dept of Energy Office...

    Office of Scientific and Technical Information (OSTI)

    Summit: Profiling General Compression: A River of Wind, ScienceCinema, multimedia Solar and Wind Energy Resource Assessment (SWERA) Data from the National Renewable Energy ...

  8. OSTIblog Articles in the Wind Power Topic | OSTI, US Dept of...

    Office of Scientific and Technical Information (OSTI)

    paper "State of the Art in Floating Wind Turbine Design Tools" that reviews simulation codes available to the offshore wind industry to potentially use deep water resources. ...

  9. Wind Easements

    Broader source: Energy.gov [DOE]

    The statutes authorizing the creation of wind easements include several provisions to protect property owners. For example, a wind easement may not make the property owner liable for any property...

  10. 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...

  11. 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...

  12. 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 Mountains, about 50-60 miles southwest. The numeric grid values indicate wind potential, with a range from 1 (poor) to 7 (superb). Just inside Texas in the southern Guadalupe Mountains, the Delaware Mountain Wind Power Facility in Culbertson County, Texas currently generates over 30 MW, and could be expanded to a 250 MW

  13. 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.

  14. Western Wind Integration Data Set | Grid Modernization | NREL

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

    Western Wind Integration Data Set The Western Wind Integration Data Set was designed to help energy professionals perform wind integration studies and estimate power production from hypothetical wind power plants in the United States. Access the Western Wind Integration Data Set Resources ACCESS DATA SET DATA SET REPORT VALIDATION REPORT Methodology 3TIER created the Western Wind Integration Data Set with oversight and assistance from NREL. Numerical weather prediction models were used to

  15. 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.

  16. Wind Energy Ordinance Fact Sheet

    SciTech Connect (OSTI)

    F. Oteri

    2010-09-01

    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.

  17. 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....

  18. 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....

  19. 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...

  20. 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...

  1. 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.

  2. Small Wind Electric Systems | Department of Energy

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

    Small 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

  3. Cherokee Nation - Wind Power Generation Feasibility Study

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

    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,

  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. 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.

  6. 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).

  7. Coastal Ohio Wind Project

    SciTech Connect (OSTI)

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

    2014-04-04

    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

  8. 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

  9. 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.

  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. 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.

  12. 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.

  13. Wind Workshop

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

    Department of Energy Wind Turbine Manufacturing Transforms with Three-Dimensional Printing Wind Turbine Manufacturing Transforms with Three-Dimensional Printing May 19, 2016 - 12:57pm Addthis From medical devices to airplane components, three-dimensional (3-D) printing (also called additive manufacturing) is transforming the manufacturing industry. Now, research that supports the Energy Department's Atmosphere to Electrons (A2e) initiative is applying 3-D-printing processes to create wind

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  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. 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...

  1. 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...

  2. Wind Energy

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

    Stationary Power/Energy Conversion Efficiency/Wind Energy Wind Energy Tara Camacho-Lopez 2016-08-30T20:56:10+00:00 Increasing the viability of wind energy technology by applying research to improve wind turbine performance and reliability http://windworkshops.sandia.gov/ Rotor Innovation Advancing rotor technology such that they capture more energy, more reliably, with relatively lower system loads-all at a lower end cost. SWiFT Facility & Testing Improving the performance and reducing the

  3. Wind News

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

    Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & ...

  4. 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...

  5. 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...

  6. 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.

  7. 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...

  8. Federal Wind Energy Assistance through NREL (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2009-09-01

    NREL assists with wind resource assessment and development activities initiated by federal agencies to facilitate distributed renewable energy projects at federal agency sites. This brief outlines the process for requesting NREL assistance with federal wind energy projects.

  9. 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.

  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. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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.

  17. NREL: Wind Research - Offshore Wind Research

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

    NREL's Offshore Wind Testing Capabilities 35 years of wind turbine testing experience ... Testing Applying 35 years of wind turbine testing expertise, NREL has developed ...

  18. 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 ...

  19. Trailing edge devices to improve performance and increase lifetime of wind-electric water pumping systems

    SciTech Connect (OSTI)

    Vick, B.D.; Clark, R.N.

    1996-12-31

    Trailing edge flaps were applied to the blades of a 10 kW wind turbine used for water pumping to try to improve the performance and decrease the structural fatigue on the wind turbine. Most small wind turbines (10 kW and below) use furling (rotor turns out of wind similar to a mechanical windmill) to protect the wind turbine from overspeed during high winds. Some small wind turbines, however, do not furl soon enough to keep the wind turbine from being off line part of the time in moderately high wind speeds (10 - 16 m/s). As a result, the load is disconnected and no water is pumped at moderately high wind speeds. When the turbine is offline, the frequency increases rapidly often causing excessive vibration of the wind turbine and tower components. The furling wind speed could possibly be decreased by increasing the offset between the tower centerline and the rotor centerline, but would be a major and potentially expensive retrofit. Trailing edge flaps (TEF) were used as a quick inexpensive method to try to reduce the furling wind speed and increase the on time by reducing the rotor RPM. One TEF configuration improved the water pumping performance at moderately high wind speeds, but degraded the pumping performance at low wind speeds which resulted in little change in daily water volume. The other TEF configuration differed very little from the no flap configuration. Both TEF configurations however, reduced the rotor RPM in high wind conditions. The TEF, did not reduce the rotor RPM by lowering the furling wind speed as hoped, but apparently did so by increasing the drag which also reduced the volume of water pumped at the lower wind speeds. 6 refs., 9 figs.

  20. 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.