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U.S. Solar Siting Regulation and Zoning Ordinances (2025)

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A machine readable collection of documented solar siting ordinances at the state and local (e.g., county, township) level throughout the United States. The data were compiled using the Infrastructure Continuous Ordinance Mapping for Planning and Siting Systems (INFRA-COMPASS) tool, which leverages Large Language Models (LLMs) to automate the collection of local codes and ordinances applicable to energy infrastructure. URLs for the ordinance source documents are included in the Solar Ordinances spreadsheet. The GeoPackage file included below contains the jurisdiction shapes for each ordinance. Note that the GeoPackage file is formatted for ingestion by NLR's reVX setbacks tool and therefore does not contain any of the state-level regulations.

**NOTE**: This data was collected with the help of generative AI. The Large Language Models used for this effort make mistakes. Always validate the data for critical use cases.

This data is an update to a previously developed database of wind ordinances found in OEDI Submission 5734: see the "U.S. Solar Siting Regulation and Zoning Ordinances 2022" link below.

INFRA-COMPASS version used for collection: v0.11.3
LLMs used for collection: GPT-4.1, GPT-4.1 mini, GPT-4.1 nano

Citation Formats

TY - DATA AB - A machine readable collection of documented solar siting ordinances at the state and local (e.g., county, township) level throughout the United States. The data were compiled using the Infrastructure Continuous Ordinance Mapping for Planning and Siting Systems (INFRA-COMPASS) tool, which leverages Large Language Models (LLMs) to automate the collection of local codes and ordinances applicable to energy infrastructure. URLs for the ordinance source documents are included in the Solar Ordinances spreadsheet. The GeoPackage file included below contains the jurisdiction shapes for each ordinance. Note that the GeoPackage file is formatted for ingestion by NLR's reVX setbacks tool and therefore does not contain any of the state-level regulations. **NOTE**: This data was collected with the help of generative AI. The Large Language Models used for this effort make mistakes. Always validate the data for critical use cases. This data is an update to a previously developed database of wind ordinances found in OEDI Submission 5734: see the "U.S. Solar Siting Regulation and Zoning Ordinances 2022" link below. INFRA-COMPASS version used for collection: v0.11.3 LLMs used for collection: GPT-4.1, GPT-4.1 mini, GPT-4.1 nano AU - Castelão, Guilherme A2 - Pinchuk, Paul A3 - Cole, Wesley A4 - Levine, Aaron A5 - Sky, Haiku A6 - Barrons, Jacob A7 - Porter, Aislinn DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Laboratory of the Rockies DO - 10.25984/3363739 KW - energy KW - power KW - solar KW - siting KW - machine readable KW - local KW - citations KW - energy analysis KW - analysis KW - SitingLab KW - land-based solar KW - exclusion KW - regulatory constraints KW - AI KW - LLM KW - INFRA-COMPASS KW - COMPASS KW - Siting Lab KW - regulatory constraint KW - pv KW - solar pv KW - legal KW - law KW - policy KW - ordinances KW - incentives LA - English DA - 2025/12/30 PY - 2025 PB - National Laboratory of the Rockies (NLR) T1 - U.S. Solar Siting Regulation and Zoning Ordinances (2025) UR - https://doi.org/10.25984/3363739 ER -
Export Citation to RIS
Castelão, Guilherme, et al. U.S. Solar Siting Regulation and Zoning Ordinances (2025). National Laboratory of the Rockies (NLR), 30 December, 2025, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/3363739.
Castelão, G., Pinchuk, P., Cole, W., Levine, A., Sky, H., Barrons, J., & Porter, A. (2025). U.S. Solar Siting Regulation and Zoning Ordinances (2025). [Data set]. Open Energy Data Initiative (OEDI). National Laboratory of the Rockies (NLR). https://doi.org/10.25984/3363739
Castelão, Guilherme, Paul Pinchuk, Wesley Cole, Aaron Levine, Haiku Sky, Jacob Barrons, and Aislinn Porter. U.S. Solar Siting Regulation and Zoning Ordinances (2025). National Laboratory of the Rockies (NLR), December, 30, 2025. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/3363739
@misc{OEDI_Dataset_8602, title = {U.S. Solar Siting Regulation and Zoning Ordinances (2025)}, author = {Castel\~{a}o, Guilherme and Pinchuk, Paul and Cole, Wesley and Levine, Aaron and Sky, Haiku and Barrons, Jacob and Porter, Aislinn}, abstractNote = {A machine readable collection of documented solar siting ordinances at the state and local (e.g., county, township) level throughout the United States. The data were compiled using the Infrastructure Continuous Ordinance Mapping for Planning and Siting Systems (INFRA-COMPASS) tool, which leverages Large Language Models (LLMs) to automate the collection of local codes and ordinances applicable to energy infrastructure. URLs for the ordinance source documents are included in the Solar Ordinances spreadsheet. The GeoPackage file included below contains the jurisdiction shapes for each ordinance. Note that the GeoPackage file is formatted for ingestion by NLR's reVX setbacks tool and therefore does not contain any of the state-level regulations.

**NOTE**: This data was collected with the help of generative AI. The Large Language Models used for this effort make mistakes. Always validate the data for critical use cases.

This data is an update to a previously developed database of wind ordinances found in OEDI Submission 5734: see the "U.S. Solar Siting Regulation and Zoning Ordinances 2022" link below.

INFRA-COMPASS version used for collection: v0.11.3
LLMs used for collection: GPT-4.1, GPT-4.1 mini, GPT-4.1 nano}, url = {https://data.openei.org/submissions/8602}, year = {2025}, howpublished = {Open Energy Data Initiative (OEDI), National Laboratory of the Rockies (NLR), https://doi.org/10.25984/3363739}, note = {Accessed: 2026-08-18}, doi = {10.25984/3363739} }
https://dx.doi.org/10.25984/3363739

Details

Data from Dec 30, 2025

Last updated Feb 3, 2026

Submitted Feb 2, 2026

Organization

National Laboratory of the Rockies (NLR)

Contact

NLR Geospatial Data Science

Authors

Guilherme Castelão

National Laboratory of the Rockies NLR

Paul Pinchuk

National Laboratory of the Rockies NLR

Wesley Cole

National Laboratory of the Rockies NLR

Aaron Levine

National Laboratory of the Rockies NLR

Haiku Sky

National Laboratory of the Rockies NLR

Jacob Barrons

National Laboratory of the Rockies NLR

Aislinn Porter

National Laboratory of the Rockies NLR

DOE Project Details

Project Name Modeling Solar Resource Supply Curves and Land Use

Project Number 52950

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