Preprints
https://doi.org/10.5194/wes-2024-147
https://doi.org/10.5194/wes-2024-147
26 Nov 2024
 | 26 Nov 2024
Status: this preprint is currently under review for the journal WES.

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

Abstract. 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 parallel processing, 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.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Jane Lockshin, Paula Pérez, Slater Podgorny, Michaela Sizemore, Paritosh Das, Jeffrey D. Laurence-Chasen, Paul Crook, and Caleb Phillips

Status: open (until 01 Jan 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Jane Lockshin, Paula Pérez, Slater Podgorny, Michaela Sizemore, Paritosh Das, Jeffrey D. Laurence-Chasen, Paul Crook, and Caleb Phillips

Data sets

Distributed Wind Model Results Caleb Phillips https://a2e.energy.gov/project/dw

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

Viewed

Total article views: 89 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
68 16 5 89 1 0
  • HTML: 68
  • PDF: 16
  • XML: 5
  • Total: 89
  • BibTeX: 1
  • EndNote: 0
Views and downloads (calculated since 26 Nov 2024)
Cumulative views and downloads (calculated since 26 Nov 2024)

Viewed (geographical distribution)

Total article views: 89 (including HTML, PDF, and XML) Thereof 89 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Dec 2024
Download
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.
Special issue
Altmetrics