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Observation-based solar and wind power capacity factors and power densities - Wind Plant Data

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Information on the 430 wind power plants used in the publication "Observation-based solar and wind power capacity factors and power densities", initially based on the Wind Power Plant locations released by the US Energy Information Administration and the individual wind turbine locations released by the US Wind Turbine Database (USWTDB). In this study we estimated the power density of wind and solar power using data that includes most grid-connected commercial-scale installations in the US. We also examined how power densities vary with power plant age and size.

For more information on the project see the "Publication" resource below.

Citation Formats

TY - DATA AB - Information on the 430 wind power plants used in the publication "Observation-based solar and wind power capacity factors and power densities", initially based on the Wind Power Plant locations released by the US Energy Information Administration and the individual wind turbine locations released by the US Wind Turbine Database (USWTDB). In this study we estimated the power density of wind and solar power using data that includes most grid-connected commercial-scale installations in the US. We also examined how power densities vary with power plant age and size. For more information on the project see the "Publication" resource below. AU - Miller, Lee DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Laboratory of the Rockies DO - KW - US KW - capacity factor KW - power density KW - power plants KW - wind plant data KW - wind power KW - wind turbine locations KW - data KW - processed data KW - United States LA - English DA - 2018/11/23 PY - 2018 PB - Harvard University T1 - Observation-based solar and wind power capacity factors and power densities - Wind Plant Data UR - https://data.openei.org/submissions/499 ER -
Export Citation to RIS
Miller, Lee. Observation-based solar and wind power capacity factors and power densities - Wind Plant Data. Harvard University, 23 November, 2018, Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/499.
Miller, L. (2018). Observation-based solar and wind power capacity factors and power densities - Wind Plant Data. [Data set]. Open Energy Data Initiative (OEDI). Harvard University. https://data.openei.org/submissions/499
Miller, Lee. Observation-based solar and wind power capacity factors and power densities - Wind Plant Data. Harvard University, November, 23, 2018. Distributed by Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/499
@misc{OEDI_Dataset_499, title = {Observation-based solar and wind power capacity factors and power densities - Wind Plant Data}, author = {Miller, Lee}, abstractNote = {Information on the 430 wind power plants used in the publication "Observation-based solar and wind power capacity factors and power densities", initially based on the Wind Power Plant locations released by the US Energy Information Administration and the individual wind turbine locations released by the US Wind Turbine Database (USWTDB). In this study we estimated the power density of wind and solar power using data that includes most grid-connected commercial-scale installations in the US. We also examined how power densities vary with power plant age and size.

For more information on the project see the "Publication" resource below. }, url = {https://data.openei.org/submissions/499}, year = {2018}, howpublished = {Open Energy Data Initiative (OEDI), Harvard University, https://data.openei.org/submissions/499}, note = {Accessed: 2026-05-17} }

Details

Data from Nov 23, 2018

Last updated Aug 20, 2025

Submitted Nov 23, 2018

Organization

Harvard University

Contact

Lee Miller

Authors

Lee Miller

Harvard University

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