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project_renewable_us_wind_turbines_2025 (FeatureServer)

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Service Description: The purpose of this information is to provide a regularly updated, publicly available, spatially referenced, national dataset made up of utility-scale wind turbine locations and their technical specifications. An appropriate use of the data would be for scientific analysis, research, or for general interest for the public.

Service ItemId: 48ba4416a16f4f57851bde27d479c138

Has Versioned Data: false

Max Record Count: 2000

Supported query Formats: JSON

Supports applyEdits with GlobalIds: False

Supports Shared Templates: True

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Description: 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 house or business. The regularly updated database contains 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), American Clean Power (ACP) Association (formerly 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 dataset. 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 level (1 to 3) is recorded for both. None of the data are field verified.

Copyright Text: 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 authors thank Patrick Gilman, Maggie Yancey, and Jocelyn Brown-Saracino of the U.S. Department of Energy (DOE), as well as the USGS Energy Mission Area for their support. We would also like to thank the members of the Wind Turbine Radar Interference Mitigation working group for their feedback in the development of this database, particularly Jason Biddle and Lily Lee at MIT Lincoln Laboratory for their assistance in identifying dismantled turbines, and Scott Smith and Frederick “Stitch” Shepherd of North American Aerospace Defense Command (NORAD) for their unwavering support. Stephen Creed from the Bureau of Ocean Energy Management (BOEM)for his insight of offshore wind. Madison Langseth (USGS) for setting up the Digital Object Identifier (DOI) and releasing the data on ScienceBase, and Aaron Roper and Steven Cahan (USGS) for their assistance with turbine visual verification. Thanks, also, to Jarett Zuboy, Vivian Hutchison (USGS), and Salma Elmallah (LBNL) for reviewing and providing comments. USGS personnel were also supported by the Energy Resources Program including Evan Bargnesi, Eric Morrissey, Jeremy Ray and the Land Change Science Program, Darren (Paco) Van Sistine for their reviews and comments.

Spatial Reference: 102100 (3857)

Initial Extent:
Full Extent:
Units: esriMeters

Child Resources:   Info   SharedTemplates

Supported Operations:   Query   ConvertFormat   Get Estimates