Articles | Volume 10, issue 7
https://doi.org/10.5194/wes-10-1231-2025
Special issue:
https://doi.org/10.5194/wes-10-1231-2025
Research article
 | 
03 Jul 2025
Research article |  | 03 Jul 2025

A parcel-level evaluation of distributed wind opportunity in the contiguous United States

Jane Lockshin, Paula Pérez, Slater Podgorny, Michaela Sizemore, Paritosh Das, Jeffrey D. Laurence-Chasen, Paul Crook, and Caleb Phillips

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Cited articles

Buster, G., Rossol, M., Pinchuk, P., Benton, B. N., Spencer, R., Bannister, M., and Williams, T.: NREL/reV: reV 0.8.0 (v0.8.0), Zenodo [code], https://doi.org/10.5281/zenodo.8247528, 2023. 
DOE (U.S. Department of Energy Office of Energy Efficiency and Renewable Energy): Renewable energy resource assessment information for the United States, https://www.energy.gov/eere/analysis/renewable-energy-resource-assessment-information-united-states (last access: 20 October 2024), 2024. 
Gagnon, P., Frazier, W., Hale, E., and Cole, W.: Cambium data for 2020 Standard Scenarios, National Renewable Energy Laboratory Scenario Viewer [data set], https://cambium.nrel.gov (last access: 1 November 2024), 2020. 
Garcia-Castellanos, D. and Lombardo, U.: Poles of inaccessibility: A calculation algorithm for the remotest places on earth, Scott. Geogr. J., 123, 227–233, https://doi.org/10.1080/14702540801897809, 2007. 
HIFLD (Homeland Infrastructure Foundation-Level Data): Parcels of the United States, LightBox [data set], https://www.lightboxre.com/data/ (last access: 1 November 2024), 2019. 
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Short summary
This study examines the potential for distributed wind energy across the contiguous United States by leveraging a novel modeling approach that utilizes a high-resolution dataset and analyzes over 150 million parcels. Modeling results reveal substantial opportunities for energy generation using distributed wind technologies. Additionally, findings reveal a substantial increase from prior modeling results in estimated technical and economic potential for distributed wind.
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