United States Land-based Wind Supply Curves 2023
Abstract
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) 2022. For further details and citation, please refer to the publication linked below: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, Travis Williams, Owen Roberts, Marie Rivers, Mike Bannister, Sophie-Min Thomson, Gabe Zuckerman, and Brian Sergi. 2024. Solar Photovoltaics and Land-Based Wind Technical Potential and Supply Curves for the Contiguous United States: 2023 Edition. Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20-87843.
- Authors:
-
- National Renewable Energy Laboratory
- Publication Date:
- Other Number(s):
- 6119
- Research Org.:
- DOE Open Energy Data Initiative (OEDI); National Renewable Energy Laboratory
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Multiple Programs (EE)
- Collaborations:
- National Renewable Energy Laboratory
- Subject:
- 2023; Array; Land-based Wind; Power Profiles; Siting Lab; SitingLab; Supply Curve; capacity; cost of energy; cost of transmission; energy analysis; generation; hourly generation; reV; siting; supply curves; wind power
- OSTI Identifier:
- 2428990
- DOI:
- https://doi.org/10.25984/2428990
Citation Formats
GDS, NREL. United States Land-based Wind Supply Curves 2023. United States: N. p., 2023.
Web. doi:10.25984/2428990.
GDS, NREL. United States Land-based Wind Supply Curves 2023. United States. doi:https://doi.org/10.25984/2428990
GDS, NREL. 2023.
"United States Land-based Wind Supply Curves 2023". United States. doi:https://doi.org/10.25984/2428990. https://www.osti.gov/servlets/purl/2428990. Pub date:Fri Jun 30 00:00:00 EDT 2023
@article{osti_2428990,
title = {United States Land-based Wind Supply Curves 2023},
author = {GDS, 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) 2022. For further details and citation, please refer to the publication linked below: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, Travis Williams, Owen Roberts, Marie Rivers, Mike Bannister, Sophie-Min Thomson, Gabe Zuckerman, and Brian Sergi. 2024. Solar Photovoltaics and Land-Based Wind Technical Potential and Supply Curves for the Contiguous United States: 2023 Edition. Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20-87843.},
doi = {10.25984/2428990},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jun 30 00:00:00 EDT 2023},
month = {Fri Jun 30 00:00:00 EDT 2023}
}
