Q1-2025 Solar Photovoltaic System Cost Benchmarks
Abstract
The U.S. Department of Energy’s solar office and its national laboratory partners analyze cost data for U.S. solar photovoltaic systems to develop cost benchmarks to measure progress toward goals and guide research and development programs. The cost data is available in an Excel spreadsheet model that can be downloaded here.
- Authors:
-
- National Laboratory of the Rockies
- Publication Date:
- DOE Contract Number:
- AC36-08GO28308
- Research Org.:
- National Laboratory of the Rockies
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- Subject:
- 14 SOLAR ENERGY; battery cost 2025; battery system cost; pv cost 2025; pv module cost; pv system cost
- OSTI Identifier:
- 3009689
- DOI:
- https://doi.org/10.7799/3009689
Citation Formats
Ramasamy, Vignesh, Woodhouse, Michael, and Feldman, David. Q1-2025 Solar Photovoltaic System Cost Benchmarks. United States: N. p., 2025.
Web. doi:10.7799/3009689.
Ramasamy, Vignesh, Woodhouse, Michael, & Feldman, David. Q1-2025 Solar Photovoltaic System Cost Benchmarks. United States. doi:https://doi.org/10.7799/3009689
Ramasamy, Vignesh, Woodhouse, Michael, and Feldman, David. 2025.
"Q1-2025 Solar Photovoltaic System Cost Benchmarks". United States. doi:https://doi.org/10.7799/3009689. https://www.osti.gov/servlets/purl/3009689. Pub date:Mon Oct 27 00:00:00 UTC 2025
@article{osti_3009689,
title = {Q1-2025 Solar Photovoltaic System Cost Benchmarks},
author = {Ramasamy, Vignesh and Woodhouse, Michael and Feldman, David},
abstractNote = {The U.S. Department of Energy’s solar office and its national laboratory partners analyze cost data for U.S. solar photovoltaic systems to develop cost benchmarks to measure progress toward goals and guide research and development programs. The cost data is available in an Excel spreadsheet model that can be downloaded here.},
doi = {10.7799/3009689},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Oct 27 00:00:00 UTC 2025},
month = {Mon Oct 27 00:00:00 UTC 2025}
}
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