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CONUS Land-based Wind Composite Siting Exclusion TIFFs 2024 - reV Open, Reference, and Limited Siting Scenarios

In progress License 

This data packet contains eight composite siting exclusion TIFF files for land-based wind across the contiguous United States. The composite exclusion TIFF files delinate areas where land-based wind installations are permissible based on various siting assumptions. This data packet contains information for the reV Open, Reference, and Limited siting scenarios. The Reference scenario TIFF files use five distinct turbine parameters of hub-heights ranging from 24 meters to 115 meters and rotor diameters from 10 meters to 170 meters. The Limited scenario TIFF Files use two distinct turbine parameters of 80 meter and 115 meter hub-heights and 77 meter and 170 meter rotor diameters.

For further details on the use of these files within the context of the DOE funding project and citation, please refer to the forthcoming publication (DOI will be added when available): Rose, S., & Ramos, D. "Sizing up on-site industrial energy potential: a parcel-level comparison of usable-area methods", 2026.

For further details on the underlying reV assumptions and methods used to generate these files please refer to the publication Lopez, Anthony, et al. "Renewable Energy Technical Potential and Supply Curves for the Contiguous United States: 2024 Edition" , Jan. 2025. https://doi.org/10.2172/2500362

Citation Formats

TY - DATA AB - This data packet contains eight composite siting exclusion TIFF files for land-based wind across the contiguous United States. The composite exclusion TIFF files delinate areas where land-based wind installations are permissible based on various siting assumptions. This data packet contains information for the reV Open, Reference, and Limited siting scenarios. The Reference scenario TIFF files use five distinct turbine parameters of hub-heights ranging from 24 meters to 115 meters and rotor diameters from 10 meters to 170 meters. The Limited scenario TIFF Files use two distinct turbine parameters of 80 meter and 115 meter hub-heights and 77 meter and 170 meter rotor diameters. For further details on the use of these files within the context of the DOE funding project and citation, please refer to the forthcoming publication (DOI will be added when available): Rose, S., & Ramos, D. "Sizing up on-site industrial energy potential: a parcel-level comparison of usable-area methods", 2026. For further details on the underlying reV assumptions and methods used to generate these files please refer to the publication Lopez, Anthony, et al. "Renewable Energy Technical Potential and Supply Curves for the Contiguous United States: 2024 Edition" , Jan. 2025. https://doi.org/10.2172/2500362 AU - Ramos, Dakota A2 - Geospatial Data Science, NLR DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Laboratory of the Rockies DO - KW - reV KW - Siting Lab KW - Land-based Wind KW - Wind KW - Wind Exclusions KW - siting exclusions KW - setbacks KW - supply curve KW - on-site generation KW - usable area KW - CONUS LA - English DA - 2026/11/11 PY - 2026 PB - National Laboratories of the Rockies (NLR) T1 - CONUS Land-based Wind Composite Siting Exclusion TIFFs 2024 - reV Open, Reference, and Limited Siting Scenarios UR - https://data.openei.org/submissions/11697 ER -
Export Citation to RIS
Ramos, Dakota, and NLR Geospatial Data Science. CONUS Land-based Wind Composite Siting Exclusion TIFFs 2024 - reV Open, Reference, and Limited Siting Scenarios. National Laboratories of the Rockies (NLR), 11 November, 2026, Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/11697.
Ramos, D., & Geospatial Data Science, N. (2026). CONUS Land-based Wind Composite Siting Exclusion TIFFs 2024 - reV Open, Reference, and Limited Siting Scenarios. [Data set]. Open Energy Data Initiative (OEDI). National Laboratories of the Rockies (NLR). https://data.openei.org/submissions/11697
Ramos, Dakota and NLR Geospatial Data Science. CONUS Land-based Wind Composite Siting Exclusion TIFFs 2024 - reV Open, Reference, and Limited Siting Scenarios. National Laboratories of the Rockies (NLR), November, 11, 2026. Distributed by Open Energy Data Initiative (OEDI). https://data.openei.org/submissions/11697
@misc{OEDI_Dataset_11697, title = {CONUS Land-based Wind Composite Siting Exclusion TIFFs 2024 - reV Open, Reference, and Limited Siting Scenarios}, author = {Ramos, Dakota and Geospatial Data Science, NLR}, abstractNote = {This data packet contains eight composite siting exclusion TIFF files for land-based wind across the contiguous United States. The composite exclusion TIFF files delinate areas where land-based wind installations are permissible based on various siting assumptions. This data packet contains information for the reV Open, Reference, and Limited siting scenarios. The Reference scenario TIFF files use five distinct turbine parameters of hub-heights ranging from 24 meters to 115 meters and rotor diameters from 10 meters to 170 meters. The Limited scenario TIFF Files use two distinct turbine parameters of 80 meter and 115 meter hub-heights and 77 meter and 170 meter rotor diameters.

For further details on the use of these files within the context of the DOE funding project and citation, please refer to the forthcoming publication (DOI will be added when available): Rose, S., \& Ramos, D. "Sizing up on-site industrial energy potential: a parcel-level comparison of usable-area methods", 2026.

For further details on the underlying reV assumptions and methods used to generate these files please refer to the publication Lopez, Anthony, et al. "Renewable Energy Technical Potential and Supply Curves for the Contiguous United States: 2024 Edition" , Jan. 2025. https://doi.org/10.2172/2500362}, url = {https://data.openei.org/submissions/11697}, year = {2026}, howpublished = {Open Energy Data Initiative (OEDI), National Laboratories of the Rockies (NLR), https://data.openei.org/submissions/11697}, note = {Accessed: 2026-11-11} }

Details

Data from Nov 11, 2026

Last updated Nov 12, 2026

Submission in progress

Organization

National Laboratories of the Rockies (NLR)

Contact

Dakota Ramos

Authors

Dakota Ramos

National Laboratories of the Rockies NLR

NLR Geospatial Data Science

National Laboratories of the Rockies NLR

Research Areas

DOE Project Details

Project Name Sizing up on-site industrial energy potential: a parcel-level comparison of usable-area methods

Project Number 13795

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