U.S. Solar Siting Regulation and Zoning Ordinances (2025)
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 -
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
Research Areas
Keywords
energy, power, solar, siting, machine readable, local, citations, energy analysis, analysis, SitingLab, land-based solar, exclusion, regulatory constraints, AI, LLM, INFRA-COMPASS, COMPASS, Siting Lab, regulatory constraint, pv, solar pv, legal, law, policy, ordinances, incentivesDOE Project Details
Project Name Modeling Solar Resource Supply Curves and Land Use
Project Number 52950

