Berkeley Lab releases largest ever database of US wind turbines

The largest ever database of US wind turbines has been released by Lawrence Berkeley National Laboratory (Berkeley Lab), in collaboration with public and private partners.

The database – United States Wind Turbine Database (USWTDB) – is the most comprehensive publicly available database yet of U.S. wind turbine locations and characteristics. The database is more accurate and comprehensive than any other database out there and according to Berkeley Lab, it will be regularly updated more often than existing publicly available wind turbine datasets.

Using the USWTDB Viewer, federal agencies will be able to share data to properly account for wind plants in development planning.

The U.S. Departments of Defense and Homeland Security and the National Oceanic Atmospheric Administration have been using the database already to perform crucial operational impact assessments of wind turbines on radar. Other examples of uses for the data include studying wind energy and wildlife interactions, reviewing economic impacts assessments of wind energy’s deployment, and better understanding of local wind deployment trends.

AWEA is the national trade association of the U.S. wind energy industry. It represents 1,000 member companies and over 100,000 jobs in the U.S. economy.

With the release of the USWTDB, data that were previously scattered across many datasets and in some cases unavailable to the public have been released to the public in a single package. The Database currently contains data from more than 57,000 turbines constructed from the 1980s through 2018, in more than 1,700 wind power projects spanning 43 states plus Puerto Rico and Guam.

The USWTDB Viewer, the development of which was led by USGS Eastern Energy Resources Science Center, is unprecedented in its ability to search and sort the U.S. wind turbine fleet. Users can interact with the data using multiple filters and colorings to allow wind projects across counties, states, or regions to be quickly scanned for unique qualities.

The full dataset can be downloaded with a few clicks in a variety of formats, and users can connect to the underlying data and incorporate the Viewer into their own website. The database includes wind turbine locations and characteristics, including make and model, total height, hub height, rotor diameter, year of installation, and rated capacity to produce electricity.