TY - JOUR
T1 - Assessing the Impact of Agrivoltaics on Water, Energy, and Carbon Cycles Using the Community Land Model Version 5
AU - Jia, Mengqi
AU - Peng, Bin
AU - Guan, Kaiyu
AU - Lawrence, David M.
AU - DeLucia, Evan H.
AU - Lombardozzi, Danica L.
AU - Sturchio, Matthew A.
AU - Kannenberg, Steven A.
AU - Knapp, Alan K.
AU - Du, Xuzhi
AU - Time, Alson
AU - Bernacchi, Carl J.
AU - Lee, Do Kyoung
AU - Miljkovic, Nenad
AU - Branham, Bruce
AU - Khanna, Madhu
N1 - We greatly appreciate the technical support on CLM5 from Dr. Keith Oleson and Dr. Samuel Levis at NSF NCAR. This work was funded by the US Department of Agriculture's National Institute of Food and Agriculture (NIFA) through the Sustainable Agricultural Systems project entitled “Sustainably Co-locating Agricultural and Photovoltaic Electricity Systems (SCAPES),” led by the University of Illinois Urbana-Champaign, Grant: 2021-68012-35898. Computation resources for this work were supported by the University Allocations Program of the Computational and Information Systems Laboratory (CISL), NSF National Center for Atmospheric Research (NSF NCAR) through the National Science Foundation Career grant to Agroecosystem Sustainability Center (ASC) (Grant 1847334).
We greatly appreciate the technical support on CLM5 from Dr. Keith Oleson and Dr. Samuel Levis at NSF NCAR. This work was funded by the US Department of Agriculture's National Institute of Food and Agriculture (NIFA) through the Sustainable Agricultural Systems project entitled “Sustainably Co‐locating Agricultural and Photovoltaic Electricity Systems (SCAPES),” led by the University of Illinois Urbana‐Champaign, Grant: 2021‐68012‐35898. Computation resources for this work were supported by the University Allocations Program of the Computational and Information Systems Laboratory (CISL), NSF National Center for Atmospheric Research (NSF NCAR) through the National Science Foundation Career grant to Agroecosystem Sustainability Center (ASC) (Grant 1847334).
PY - 2026/2
Y1 - 2026/2
N2 - Agrivoltaics, combining agriculture with photovoltaic systems, offers a promising solution to address land-use conflict between food and energy production. However, the complexities of agrivoltaics and its effects on the water-energy-carbon interactions remain poorly understood. In this study, we developed a process-based agrivoltaic model within the Community Land model 5 to assess the impacts of agrivoltaics on water, energy, and carbon cycles. The model was validated using data from agrivoltaic sites in Illinois and Colorado, generally capturing spatiotemporal variations in light conditions, soil moisture, and biomass carbon. Simulation results suggest that agrivoltaics significantly impact water, energy, and carbon budgets at the patch and system levels for maize and soybean in Illinois and grass in Colorado (2000–2014). Our findings show that the impacts of agrivoltaics vary by climate conditions and plant types. In dry climates, rainfall redistribution and shading from agrivoltaics conserve soil moisture and enhance evapotranspiration, promoting greater carbon assimilation and soil carbon storage for C3 grass. Conversely, in wetter regions, reduced solar radiation from shading becomes the dominant factor, lowering carbon assimilation and sequestration for maize and soybean. These results suggest that agrivoltaics can help mitigate drought impacts in arid environments. Our analysis of land equivalent ratios across different photovoltaic ground coverage ratios (PV GCR) shows that a medium PV GCR (60%) under “AgPV” deployment, where PV and plants share the same land, maximizes land-use efficiency at the study sites. Our modeling study supports informed decision-making to promote sustainable management of water, energy, and food resources amid environmental change.
AB - Agrivoltaics, combining agriculture with photovoltaic systems, offers a promising solution to address land-use conflict between food and energy production. However, the complexities of agrivoltaics and its effects on the water-energy-carbon interactions remain poorly understood. In this study, we developed a process-based agrivoltaic model within the Community Land model 5 to assess the impacts of agrivoltaics on water, energy, and carbon cycles. The model was validated using data from agrivoltaic sites in Illinois and Colorado, generally capturing spatiotemporal variations in light conditions, soil moisture, and biomass carbon. Simulation results suggest that agrivoltaics significantly impact water, energy, and carbon budgets at the patch and system levels for maize and soybean in Illinois and grass in Colorado (2000–2014). Our findings show that the impacts of agrivoltaics vary by climate conditions and plant types. In dry climates, rainfall redistribution and shading from agrivoltaics conserve soil moisture and enhance evapotranspiration, promoting greater carbon assimilation and soil carbon storage for C3 grass. Conversely, in wetter regions, reduced solar radiation from shading becomes the dominant factor, lowering carbon assimilation and sequestration for maize and soybean. These results suggest that agrivoltaics can help mitigate drought impacts in arid environments. Our analysis of land equivalent ratios across different photovoltaic ground coverage ratios (PV GCR) shows that a medium PV GCR (60%) under “AgPV” deployment, where PV and plants share the same land, maximizes land-use efficiency at the study sites. Our modeling study supports informed decision-making to promote sustainable management of water, energy, and food resources amid environmental change.
KW - agrivoltaics
KW - carbon cycle
KW - crop productivity
KW - energy budget
KW - hydrological dynamics
KW - land-use efficiency
KW - plant physiology
KW - process-based modeling approach
UR - https://www.scopus.com/pages/publications/105028952038
UR - https://www.scopus.com/pages/publications/105028952038#tab=citedBy
U2 - 10.1029/2025MS005092
DO - 10.1029/2025MS005092
M3 - Article
AN - SCOPUS:105028952038
SN - 1942-2466
VL - 18
JO - Journal of Advances in Modeling Earth Systems
JF - Journal of Advances in Modeling Earth Systems
IS - 2
M1 - e2025MS005092
ER -