A parcel-level evaluation of distributed wind opportunity in the contiguous United States
<p>This study examines the potential for distributed wind (DW) energy across the contiguous United States, leveraging advancements in the National Renewable Energy Laboratory's distributed wind model, dWind. The novel modeling approach described here utilizes a high-resolution dataset and...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2025-07-01
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| Series: | Wind Energy Science |
| Online Access: | https://wes.copernicus.org/articles/10/1231/2025/wes-10-1231-2025.pdf |
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| author | J. Lockshin P. Pérez S. Podgorny M. Sizemore P. Das J. D. Laurence-Chasen P. Crook C. Phillips |
| author_facet | J. Lockshin P. Pérez S. Podgorny M. Sizemore P. Das J. D. Laurence-Chasen P. Crook C. Phillips |
| author_sort | J. Lockshin |
| collection | DOAJ |
| description | <p>This study examines the potential for distributed wind (DW) energy across the contiguous United States, leveraging advancements in the National Renewable Energy Laboratory's distributed wind model, dWind. The novel modeling approach described here utilizes a high-resolution dataset and analyzes over 150 million parcels, a significant improvement from prior methods that extrapolated results from a smaller random sample. This achievement is enabled through key model performance improvements, such as transitioning to multiprocessing, which reduces runtime by 97 %. This optimized, high-resolution approach allows the inspection of technology deployment potential and impact on a variety of scales tailored to individual properties and regions. The results here align with prior work showing substantial opportunity for energy generation using DW technologies. Key findings reveal a substantial increase from prior results in estimated technical and economic potential for DW. Metrics tuned to highlight economic potential also show increased incentives supporting rural adoption. Results are spatially aggregated for usability and published via the U.S. Department of Energy Wind Data Portal and a custom scenario visualization platform, aiding policymakers, industry, and property owners in assessing DW viability across various scenarios and spatial scales.</p> |
| format | Article |
| id | doaj-art-7e8ad1fb4eba455692dc0c44d6f97002 |
| institution | DOAJ |
| issn | 2366-7443 2366-7451 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Wind Energy Science |
| spelling | doaj-art-7e8ad1fb4eba455692dc0c44d6f970022025-08-20T02:42:15ZengCopernicus PublicationsWind Energy Science2366-74432366-74512025-07-01101231124810.5194/wes-10-1231-2025A parcel-level evaluation of distributed wind opportunity in the contiguous United StatesJ. Lockshin0P. Pérez1S. Podgorny2M. Sizemore3P. Das4J. D. Laurence-Chasen5P. Crook6C. Phillips7National Renewable Energy Laboratory, Golden, Colorado, USANational Renewable Energy Laboratory, Golden, Colorado, USANational Renewable Energy Laboratory, Golden, Colorado, USANational Renewable Energy Laboratory, Golden, Colorado, USANational Renewable Energy Laboratory, Golden, Colorado, USANational Renewable Energy Laboratory, Golden, Colorado, USANational Renewable Energy Laboratory, Golden, Colorado, USANational Renewable Energy Laboratory, Golden, Colorado, USA<p>This study examines the potential for distributed wind (DW) energy across the contiguous United States, leveraging advancements in the National Renewable Energy Laboratory's distributed wind model, dWind. The novel modeling approach described here utilizes a high-resolution dataset and analyzes over 150 million parcels, a significant improvement from prior methods that extrapolated results from a smaller random sample. This achievement is enabled through key model performance improvements, such as transitioning to multiprocessing, which reduces runtime by 97 %. This optimized, high-resolution approach allows the inspection of technology deployment potential and impact on a variety of scales tailored to individual properties and regions. The results here align with prior work showing substantial opportunity for energy generation using DW technologies. Key findings reveal a substantial increase from prior results in estimated technical and economic potential for DW. Metrics tuned to highlight economic potential also show increased incentives supporting rural adoption. Results are spatially aggregated for usability and published via the U.S. Department of Energy Wind Data Portal and a custom scenario visualization platform, aiding policymakers, industry, and property owners in assessing DW viability across various scenarios and spatial scales.</p>https://wes.copernicus.org/articles/10/1231/2025/wes-10-1231-2025.pdf |
| spellingShingle | J. Lockshin P. Pérez S. Podgorny M. Sizemore P. Das J. D. Laurence-Chasen P. Crook C. Phillips A parcel-level evaluation of distributed wind opportunity in the contiguous United States Wind Energy Science |
| title | A parcel-level evaluation of distributed wind opportunity in the contiguous United States |
| title_full | A parcel-level evaluation of distributed wind opportunity in the contiguous United States |
| title_fullStr | A parcel-level evaluation of distributed wind opportunity in the contiguous United States |
| title_full_unstemmed | A parcel-level evaluation of distributed wind opportunity in the contiguous United States |
| title_short | A parcel-level evaluation of distributed wind opportunity in the contiguous United States |
| title_sort | parcel level evaluation of distributed wind opportunity in the contiguous united states |
| url | https://wes.copernicus.org/articles/10/1231/2025/wes-10-1231-2025.pdf |
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