United States Land-based Wind Supply Curves 2024
This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for land-based wind across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCOE), levelized cost of transmission (LCOT), and more for each reV site (~60,000 sites). Hourly generation profiles are available for each reV site and can be matched to the available capacity in the supply curve (refer to the Jupyter Notebook). The composite exclusion TIFF is a single file that delineates areas where wind installations are permissible based on various siting assumptions. This data packet contains information for the Reference and Limited siting scenarios. The turbine parameters used were a hub-height of 115 meters and a rotor diameter of 170 meters, as obtained from the Annual Technology Baseline (ATB) 2023.
For further details and citation, please refer to the publication linked below: Lopez, Anthony, Gabe Zuckerman, Pavlo Pinchuk, Michael Gleason, Marie Rivers, Owen Roberts, Travis Williams, Donna Heimiller, Sophie-Min Thomson, Trieu Mai, and Wesley Cole. 2025. Renewable Energy Technical Potential and Supply Curves for the Contiguous United States: 2024 Edition. Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20-91900.
Citation Formats
National Renewable Energy Laboratory. (2025). United States Land-based Wind Supply Curves 2024 [data set]. Retrieved from https://data.openei.org/submissions/8314.
Geospatial Data Science, NREL. United States Land-based Wind Supply Curves 2024. United States: N.p., 01 Jan, 2025. Web. https://data.openei.org/submissions/8314.
Geospatial Data Science, NREL. United States Land-based Wind Supply Curves 2024. United States. https://data.openei.org/submissions/8314
Geospatial Data Science, NREL. 2025. "United States Land-based Wind Supply Curves 2024". United States. https://data.openei.org/submissions/8314.
@div{oedi_8314, title = {United States Land-based Wind Supply Curves 2024}, author = {Geospatial Data Science, NREL.}, abstractNote = {This data packet contains supply curves, hourly generation profiles, and a composite siting exclusion TIFF for land-based wind across the contiguous United States. The supply curves offer comprehensive metrics such as capacity (MW), generation (MWh), levelized cost of energy (LCOE), levelized cost of transmission (LCOT), and more for each reV site (~60,000 sites). Hourly generation profiles are available for each reV site and can be matched to the available capacity in the supply curve (refer to the Jupyter Notebook). The composite exclusion TIFF is a single file that delineates areas where wind installations are permissible based on various siting assumptions. This data packet contains information for the Reference and Limited siting scenarios. The turbine parameters used were a hub-height of 115 meters and a rotor diameter of 170 meters, as obtained from the Annual Technology Baseline (ATB) 2023.
For further details and citation, please refer to the publication linked below: Lopez, Anthony, Gabe Zuckerman, Pavlo Pinchuk, Michael Gleason, Marie Rivers, Owen Roberts, Travis Williams, Donna Heimiller, Sophie-Min Thomson, Trieu Mai, and Wesley Cole. 2025. Renewable Energy Technical Potential and Supply Curves for the Contiguous United States: 2024 Edition. Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20-91900.}, doi = {}, url = {https://data.openei.org/submissions/8314}, journal = {}, number = , volume = , place = {United States}, year = {2025}, month = {01}}
Details
Data from Jan 1, 2025
Last updated Jan 22, 2025
Submission in progress
Organization
National Renewable Energy Laboratory
Contact
NREL Geospatial Data Science
Authors
Research Areas
Keywords
reV, Siting Lab, Land-based Wind, Supply Curve, Power Profiles, 2024, hourly generation, siting, wind power, capacity, generation, cost of energy, cost of transmission, energy analysisDOE Project Details
Project Name Spatial Analysis for Wind Technology Development
Project Number 34877