Assessing the Impact of Agrivoltaics on Water, Energy, and Carbon Cycles Using the Community Land Model Version 5

  • Mengqi Jia
  • , Bin Peng
  • , Kaiyu Guan
  • , David M. Lawrence
  • , Evan H. DeLucia
  • , Danica L. Lombardozzi
  • , Matthew A. Sturchio
  • , Steven A. Kannenberg
  • , Alan K. Knapp
  • , Xuzhi Du
  • , Alson Time
  • , Carl J. Bernacchi
  • , Do Kyoung Lee
  • , Nenad Miljkovic
  • , Bruce Branham
  • , Madhu Khanna

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article numbere2025MS005092
JournalJournal of Advances in Modeling Earth Systems
Volume18
Issue number2
DOIs
StatePublished - Feb 2026
Externally publishedYes

Keywords

  • agrivoltaics
  • carbon cycle
  • crop productivity
  • energy budget
  • hydrological dynamics
  • land-use efficiency
  • plant physiology
  • process-based modeling approach

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