This dataset provides locations and technical specifications of wind turbines in the United States, almost all of which are utility-scale. Utility-scale turbines are ones that generate power and feed it into the grid, supplying a utility with energy. They are usually much larger than turbines that would feed a homeowner or business.

The data formats downloadable from the Minnesota Geospatial Commons contain just the Minnesota turbines. Data, maps and services accessed from the USWTDB website provide nationwide turbines.

The regularly updated database has wind turbine records that have been collected, digitized, and locationally verified. Turbine data were gathered from the Federal Aviation Administration's (FAA) Digital Obstacle File (DOF) and Obstruction Evaluation Airport Airspace Analysis (OE-AAA), the American Wind Energy Association (AWEA), Lawrence Berkeley National Laboratory (LBNL), and the United States Geological Survey (USGS), and were merged and collapsed into a single data set.

Verification of the turbine positions was done by visual interpretation using high-resolution aerial imagery in Esri ArcGIS Desktop. A locational error of plus or minus 10 meters for turbine locations was tolerated. Technical specifications for turbines were assigned based on the wind turbine make and models as provided by manufacturers and project developers directly, and via FAA datasets, information on the wind project developer or turbine manufacturer websites, or other online sources. Some facility and turbine information on make and model did not exist or was difficult to obtain. Thus, uncertainty may exist for certain turbine specifications. Similarly, some turbines were not yet built, not built at all, or for other reasons cannot be verified visually. Location and turbine specifications data quality are rated and a confidence is recorded for both. None of the data are field verified.

The U.S. Wind Turbine Database website provides the national data in many different formats: shapefile, CSV, GeoJSON, web services (cached and dynamic), API, and web viewer. See: https://eerscmap.usgs.gov/uswtdb/

The web viewer provides many options to search; filter by attribute, date and location; and customize the map display. For details and screenshots of these options, see: https://eerscmap.usgs.gov/uswtdb/help/

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This metadata record was adapted by the Minnesota Geospatial Information Office (MnGeo) from the national version of the metadata. It describes the Minnesota extract of the shapefile data that has been projected from geographic to UTM coordinates and converted to Esri file geodatabase (fgdb) format. There may be more recent updates available on the national website. Accessing the data via the national web services or API will always provide the most recent data.

Wind turbine data for completed Alaska wind energy projects. Data includes the wind farm operator, the number of turbines and model, rated power and output, commission date, project cost, and power output type. Source: Alaska Energy Authority, Alaska Industrial Development and Export Authority

This data has been visualized in a Geographic Information Systems (GIS) format and is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska Energy Authority Wind Program Overview

This data set provides industrial-scale onshore wind turbine locations, corresponding facility information, and turbine technical specifications, in the United States to March 2014. The database has nearly 49,000 wind turbine records that have been collected, digitized, locationally verified, and internally quality assured and quality controlled. Turbines from the Federal Aviation Administration Digital Obstacle File, product date March 2, 2014, were used as the primary source of turbine data points. Verification of the position of turbines was done by visual interpretation using high-resolution aerial imagery in ESRI ArcGIS Desktop. Turbines without Federal Aviation Administration Obstacle Repository System (FAA ORS) numbers were visually identified and supplemental points were added to the collection. A locational error of plus or minus 10 meters for turbine positions was estimated. Wind farm facility names were identified from publicly available facility data sets. Facility names were then used in a web search of additional industry publications and press releases to attribute additional turbine information (such as manufacturer, model, and technical specifications of wind turbines). Wind farm facility location data from various wind and energy industry sources were used to search for and digitize turbines not in existing databases. Technical specifications assigned to were based on the make and model as described in literature, in the Federal Aviation Administration Digital Obstacle File, and information from the turbine manufacturers' websites. Some facility and turbine information did not exist or was difficult to obtain. Thus, uncertainty may be present. That uncertainty was rated and a confidence was recorded for both location and attribution data quality.

CDFW BIOS GIS Dataset, Contact: USWTDB United States Wind Turbine Database, Description: This data set provides industrial-scale onshore wind turbine locations in the United States through July 22, 2013, corresponding facility information, and turbine technical specifications.

GIS data for Bhutan's Wind Power Density at 50m Above Ground Level. NREL developed estimates of Bhutans wind resources at a spatial resolution of 1 km^2 using NREL's Wind Resource Assessment and Mapping System (WRAMS). Wind turbine output at a given site can be predicted using wind speed data and the turbine's power curve, which describes the turbines operating power at different wind speeds. Using data found from this analysis, estimates can be made for the best potential locations for wind energy throughout Bhutan.

The Canadian Wind Turbine Database contains the geographic location and key technology details for wind turbines installed in Canada. This dataset was jointly compiled by researchers at CanmetENERGY-Ottawa and by the Centre for Applied Business Research in Energy and the Environment at the University of Alberta, under contract from Natural Resources Canada. Additional contributions were made by the Department of Civil & Mineral Engineering at the University of Toronto. Note that total project capacity was sourced from publicly available information, and may not match the sum of individual turbine rated capacity due to de-rating and other factors. The turbine numbering scheme adopted for this database is not intended to match the developer’s asset numbering. This database will be updated in the future. If you are aware of any errors, and would like to provide additional information, or for general inquiries, please use the contact email address listed on this page.

This data set provides industrial-scale onshore wind turbine locations in the United States through January 4, 2023, corresponding facility information, and turbine technical specifications, clipped to the Indiana boundaries. The database has more than 47,000 wind turbine records that have been collected, digitized, locationally verified, and internally quality controlled. Turbines from the Federal Aviation Administration Digital Obstacle File, through product release date July 22, 2013, were used as the primary source of turbine data points. Verification of the turbine positions was done by visual interpretation using high-resolution aerial imagery in ESRI ArcGIS Desktop. Turbines without Federal Aviation Administration Obstacle Repository System numbers were visually identified and point locations were added to the collection. We estimated a locational error of plus or minus 10 meters for turbine locations. Wind farm facility names were identified from publicly available facility data sets. Facility names were then used in a web search of additional industry publications and press releases to attribute additional turbine information (such as manufacturer, model, and technical specifications of wind turbines). Wind farm facility location data from various wind and energy industry sources were used to search for and digitize turbines not in existing databases. Technical specifications for turbines were assigned based on the wind turbine make and model as described in literature, specifications listed in the Federal Aviation Administration Digital Obstacle File, and information on the turbine manufacturer’s website. Some facility and turbine information on make and model did not exist or was difficult to obtain. Thus, uncertainty may exist for certain turbine specifications. That uncertainty was rated and a confidence was recorded for both location and attribution data quality.

This dataset provides locations and technical specifications of wind turbines in the United States, almost all of which are utility-scale. Utility-scale turbines are ones that generate power and feed it into the grid, supplying a utility with energy. They are usually much larger than turbines that would feed a homeowner or business. The regularly updated database has wind turbine records that have been collected, digitized, and locationally verified. Turbine data were gathered from the Federal Aviation Administration's (FAA) Digital Obstacle File (DOF) and Obstruction Evaluation Airport Airspace Analysis (OE-AAA), the American Wind Energy Association (AWEA), Lawrence Berkeley National Laboratory (LBNL), and the United States Geological Survey (USGS), and were merged and collapsed into a single data set. Verification of the turbine positions was done by visual interpretation using high-resolution aerial imagery in ESRI ArcGIS Desktop. A locational error of plus or minus 10 meters for turbine locations was tolerated. Technical specifications for turbines were assigned based on the wind turbine make and models as provided by manufacturers and project developers directly, and via FAA datasets, information on the wind project developer or turbine manufacturer websites, or other online sources. Some facility and turbine information on make and model did not exist or was difficult to obtain. Thus, uncertainty may exist for certain turbine specifications. Similarly, some turbines were not yet built, not built at all, or for other reasons cannot be verified visually. Location and turbine specifications data quality are rated and a confidence is recorded for both. None of the data are field verified.

The following is excerpted from an unpublished report by Michael Brower (2004): "Using the MesoMap system, TrueWind has produced maps of mean wind speed in Indiana for heights of 30, 50, 70, and 100 m above ground, as well as a map of wind power at 50 m. TrueWind has also produced data files of the predicted wind speed frequency distribution and speed and energy by direction. The maps and data files are provided on a CD with the ArcReader software, which will enable users to view, print, copy, and query the maps and wind rose data. "The MesoMap system consists of an integrated set of atmospheric simulation models, databases, and computers and storage systems. At the core of MesoMap is MASS (Mesoscale Atmospheric Simulation System), a numerical weather model, which simulates the physics of the atmosphere. MASS is coupled to a simpler wind flow model, WindMap, which is used to refine the spatial resolution of MASS and account for localized effects of terrain and surface roughness. MASS simulates weather conditions over a region for 366 historical days randomly selected from a 15-year period. When the runs are finished, the results are input into WindMap. In this project, the MASS model was run on a grid spacing of 1.7 km and WindMap on a grid spacing of 200 m. "The wind maps show that the best wind resource in Indiana is found in the northcentral part of the state. The mean wind speed at 50 m height between Indianapolis, Kokomo, and Lafayette, and to the northwest of Lafayette, is predicted to be in the range of 6.5 to 7 m/s, and the mean wind power is predicted to be about 250 to 350 W/m2, or NREL class 2 to 3. In the rest of northern Indiana, the wind speed tends to be around 0.5 m/s lower, and the wind power is a solid class 2. In southern Indiana, a wind speed of 4.5 to 6 m/s and a wind power class of 1 to 2 prevails. The main reason for this wind resource distribution pattern is that the land is much more forested in the southern half of the state than in the northern half. Topography also plays a role, as does the track of the jet stream."

The United States Wind Turbine Database (USWTDB) provides the locations of land-based and offshore wind turbines in the United States, corresponding wind project information, and turbine technical specifications. The creation of this database was jointly funded by the U.S. Department of Energy (DOE) Wind Energy Technologies Office (WETO) via the Lawrence Berkeley National Laboratory (LBNL) Electricity Markets and Policy Group, the U.S. Geological Survey (USGS) Energy Resources Program, and the American Clean Power Association (ACP). The database is being continuously updated through collaboration among LBNL, USGS, and ACP. Wind turbine records are collected and compiled from various public and private sources, digitized or position-verified from aerial imagery, and quality checked. Technical specifications for turbines are obtained directly from project developers and turbine manufacturers, or they are based on data obtained from public sources.Data accessed from here: https://eerscmap.usgs.gov/uswtdb/

this dataset shows the wind turbine locations and the power output for all turbines (+4000) for Denmark. Information is provided about the dimensions of each turbine, its operator, constructor and its connection to the grid. In addition, annual power production fugures are given. For 2012, monthly outputs are provided. More detailed info on monthly outputs can be found at http://www.ens.dk/EN-US/INFO/FACTSANDFIGURES/ENERGY_STATISTICS_AND_INDICATORS/OVERVIEWOFTHEENERGYSECTOR/REGISTEROFWINDTURBINES/Sider/Forside.aspx. Data sourced from http://www.ens.dk/EN-US/INFO/FACTSANDFIGURES/ENERGY_STATISTICS_AND_INDICATORS/OVERVIEWOFTHEENERGYSECTOR/REGISTEROFWINDTURBINES/Sider/Forside.aspx and then manipulated into shapefile format. Please attribute www.ens.dk as the source of this data when re-using it. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2012-11-21 and migrated to Edinburgh DataShare on 2017-02-21.

Scores for species’ population vulnerability to collision mortality at offshore wind turbines, with species ranked by overall score.

This dataset was developed by the National Renewable Energy Laboratory (NREL) for the U.S. Agency for International Development's (USAID) South Asia Regional Initiative for Energy Cooperation (SARI/E). The dataset contains Wind Power Density at 50-m Above Ground Level in the form of a GIS shapefile. The data were output in Geographic Information Systems (GIS) format and incorporated into a Geospatial Toolkit (GsT) which is provided in data resources. The GsT allows the user to examine the resource data in a geospatial context along with other key information relevant to renewable energy development, such as transportation networks, transmission corridors, existing power facilities, load centers, terrain conditions, and land use.

GeoTIFF raster data with worldwide wind speed and wind power density potential. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). This link provides access to the following layers:
(1) Wind speed (WS): at 3 heights (50m, 100m, and 200m) , stored as separate bands in the raster file
(2) Power Density (PD): at 3 heights (50m, 100m, and 200m) , stored as separate bands in the raster file.
(3) Elevation (ELEV): at ground level
(4) Air Density (RHO): at ground level
(5) Ruggedness Index (RIX): at ground level
All layers have 250m resolution.

Maps with wind speed, wind rose and wind power density potential in Japan. The GIS data stems from the Global Wind Atlas (http://globalwindatlas.info/). GIS data is available as JSON and CSV. The second link provides poster size (.pdf) and midsize maps (.png).

Planning an offshore wind project is considered a highly complex and multivariable task since it involves controversial objectives and constraints to be considered. Hence, compactness and contiguity are indispensable properties in spatial modelling for Renewable Energy Sources (RES) planning processes. The proposed methodology demonstrates the development of a raster-based spatial optimization model for future Offshore Wind Farm (OWF) site-prospecting multi-objective optimization in terms of the simulated Annual Energy Production (AEP), Wind Power Variability (WPV) and the Depth Profile (DP), towards an integer mathematical programming approach.

This data layer was produced by the Cape Cod Commission's geographic information systems (GIS) department for the purpose of identifying criteria relevant to siting wind energy facilities in the region. The CCC, in partnership with the Cape Light Compact, applied for and received funding from the Massachusetts Technology Collaborative's Community Planning and Development Grant Program to integrate certain forms of distributed power generation and renewable energy into the local planning process. To this end, funds were secured under the grant CP-04-05, for the creation of a map that would endeavor to highlight areas with an increased potential for wind energy development within Barnstable County. The map would also play a role in identifying areas that would need to be considered when siting wind energy developments. 2004.

Seascape effects of wind Turbines up to 35 km from Shoreline are Downloadable as GIS shapefiles.SEAI commissioned a Strategic Environmental Assessment (SEA), completed in 2010, to inform policy-making in the Offshore Renewable Energy Development Plan (OREDP). One set of SEA evaluations was seascape assessments. In 2014 the OREDP was published. (References to both reports below).A zipped collection of shapefiles in Spatial reference system WGS 84 (EPSG:4326) is Downloadable below. The shapefiles assign category values of seascape effects around the Irish coast (excl. N. Ireland). Appendices in SEA Volume 4 describe these category values in detail (reference below). All SEA Volumes are accessible by using the search bar in SEAI’s website (http://www.seai.ie).The Sustainable Energy Authority of Ireland (SEAI) offers wind-energy data in its Wind Atlas, a digital map of Ireland’s wind energy resource (http://gis.seai.ie/wind). SEAI’s wind-energy datasets assist wind energy Planners, developers and policymakers. References Sea Environmental Report Volume 1: Non-Technical Summary. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-1-Non-Technical-Summary.pdfSEA Environmental Report Volume 4: Appendices. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-4-Appendices.pdfOffshore Renewable Energy Development Plan — A Framework for the Sustainable Development of Ireland’s Offshore Renewable Energy Resource. February 2014. https://assets.gov.ie/27215/2bc3cb73b6474beebbe810e88f49d1d4.pdf

These data represent offshore wind turbines and supporting infrastructure within the U.S. Exclusive Economic Zone as of January 2024. Seven turbines are fully operational, five at the Block Island Wind Farm site and two at the Coastal Virginia Offshore Wind site. The seven turbines are responsible for 42 megawatts of power generation capacity. Seventy-five additional turbines are actively under construction at the Vineyard Wind 1 site (Massachusetts) and South Fork Wind site (New York). Revolution Wind (Rhode Island and Connecticut ) has received final approval, and construction is anticipated to begin on 67 turbines in 2024.Direct data download | MetadataThis item is curated by the MarineCadastre.gov team. Find more information at marinecadastre.gov.

[Metadata] Description: Wind Energy Resource Data collected using the MesoMap system. Wind power in the state of Hawaii for height of 50 meters above ground.Source: Wind Energy Resource Maps of Hawaii, AWS Truewind, https://files.hawaii.gov/dbedt/op/gis/data/hawaii_wind_mapping_report.pdf. Apr. 2024: Hawaii Statewide GIS Program staff removed extraneous fields that had been added as part of the 2016 GIS database conversion and were no longer needed.For additional information, please refer to complete metadata at https://files.hawaii.gov/dbedt/op/gis/data/wind_data.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.