"Womp Womp! Your browser does not support canvas :'("

U.S. Agrivoltaics Irradiance Database

Publicly accessible License 

This is a foundational data set for research and deployment of agrivoltaics, which is the co-location of agriculture and solar power plants on the same land. This irradiance and shading dataset can be utilized to determine the suitability of agrivoltaics configurations for a given region and crop-type. The data is hourly, 4x4 km resolution across the contiguous United States and Hawaii. It is calculated from the National Solar Radiation Database sites, using the System Advisor Model (SAM) to simulate the shading patterns for 10 common agrivoltaics configurations. Sunlight availability data is reported for 10 locations on the ground between adjacent rows of solar panels, as well as averaged across areas of interest such as the average irradiance in the edge-to-edge open area or across 3-6 planting beds. Other available metrics include the input meteorological data from the NSRDB (e.g. global horizontal irradiance, wind speed, etc.) and estimates for comparing energy and agricultural characteristic across the 10 configurations, including power output per acre or per kW installed capacity and farmable land area per acre.

Citation Formats

TY - DATA AB - This is a foundational data set for research and deployment of agrivoltaics, which is the co-location of agriculture and solar power plants on the same land. This irradiance and shading dataset can be utilized to determine the suitability of agrivoltaics configurations for a given region and crop-type. The data is hourly, 4x4 km resolution across the contiguous United States and Hawaii. It is calculated from the National Solar Radiation Database sites, using the System Advisor Model (SAM) to simulate the shading patterns for 10 common agrivoltaics configurations. Sunlight availability data is reported for 10 locations on the ground between adjacent rows of solar panels, as well as averaged across areas of interest such as the average irradiance in the edge-to-edge open area or across 3-6 planting beds. Other available metrics include the input meteorological data from the NSRDB (e.g. global horizontal irradiance, wind speed, etc.) and estimates for comparing energy and agricultural characteristic across the 10 configurations, including power output per acre or per kW installed capacity and farmable land area per acre. AU - Ovaitt, Silvana A2 - Ford, Tobin A3 - Lepley, Kai A4 - Fields, Hanna A5 - Doubleday, Kate A6 - Kinzer, Austin A7 - Macknick, Jordan DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Laboratory of the Rockies DO - 10.25984/3363762 KW - energy KW - power KW - agrivoltaics KW - irradiance KW - natural resource KW - open source software KW - agriculture KW - solar KW - solar power KW - shading KW - data KW - dataset KW - United States KW - Hawaii KW - CONUS KW - NSRDB KW - SAM KW - processed data LA - English DA - 2025/11/05 PY - 2025 PB - National Laboratory of the Rockies (NLR) T1 - U.S. Agrivoltaics Irradiance Database UR - https://doi.org/10.25984/3363762 ER -
Export Citation to RIS
Ovaitt, Silvana, et al. U.S. Agrivoltaics Irradiance Database. National Laboratory of the Rockies (NLR), 5 November, 2025, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/3363762.
Ovaitt, S., Ford, T., Lepley, K., Fields, H., Doubleday, K., Kinzer, A., & Macknick, J. (2025). U.S. Agrivoltaics Irradiance Database. [Data set]. Open Energy Data Initiative (OEDI). National Laboratory of the Rockies (NLR). https://doi.org/10.25984/3363762
Ovaitt, Silvana, Tobin Ford, Kai Lepley, Hanna Fields, Kate Doubleday, Austin Kinzer, and Jordan Macknick. U.S. Agrivoltaics Irradiance Database. National Laboratory of the Rockies (NLR), November, 5, 2025. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/3363762
@misc{OEDI_Dataset_8568, title = {U.S. Agrivoltaics Irradiance Database}, author = {Ovaitt, Silvana and Ford, Tobin and Lepley, Kai and Fields, Hanna and Doubleday, Kate and Kinzer, Austin and Macknick, Jordan}, abstractNote = {This is a foundational data set for research and deployment of agrivoltaics, which is the co-location of agriculture and solar power plants on the same land. This irradiance and shading dataset can be utilized to determine the suitability of agrivoltaics configurations for a given region and crop-type. The data is hourly, 4x4 km resolution across the contiguous United States and Hawaii. It is calculated from the National Solar Radiation Database sites, using the System Advisor Model (SAM) to simulate the shading patterns for 10 common agrivoltaics configurations. Sunlight availability data is reported for 10 locations on the ground between adjacent rows of solar panels, as well as averaged across areas of interest such as the average irradiance in the edge-to-edge open area or across 3-6 planting beds. Other available metrics include the input meteorological data from the NSRDB (e.g. global horizontal irradiance, wind speed, etc.) and estimates for comparing energy and agricultural characteristic across the 10 configurations, including power output per acre or per kW installed capacity and farmable land area per acre.}, url = {https://data.openei.org/submissions/8568}, year = {2025}, howpublished = {Open Energy Data Initiative (OEDI), National Laboratory of the Rockies (NLR), https://doi.org/10.25984/3363762}, note = {Accessed: 2026-10-19}, doi = {10.25984/3363762} }
https://dx.doi.org/10.25984/3363762

Details

Data from Nov 5, 2025

Last updated Feb 20, 2026

Submitted Nov 21, 2025

Organization

National Laboratory of the Rockies (NLR)

Contact

Silvana Ovaitt

Authors

Silvana Ovaitt

National Laboratory of the Rockies NLR

Tobin Ford

National Laboratory of the Rockies NLR

Kai Lepley

National Laboratory of the Rockies NLR

Hanna Fields

National Laboratory of the Rockies NLR

Kate Doubleday

National Laboratory of the Rockies NLR

Austin Kinzer

National Laboratory of the Rockies NLR

Jordan Macknick

National Laboratory of the Rockies NLR

DOE Project Details

Project Name InSPIRE

Project Number 52944

Share

Submission Downloads