Agrivoltaics; Crop model; Efficiency; Modelling; Ray tracing; Forestry; Agronomy and Crop Science
Abstract :
[en] Driven by the urge to expand renewable energy generation and mitigate the intensifying extreme climatic events effects on crops, development of agrivoltaics is currently accelerating. However, harmonious deployment requires to assess both photovoltaic and crop yields to ensure simultaneous compliance with energetic and agricultural objectives of stakeholders within evolving local legal contexts. Based on the community’s priority modelling needs, this paper presents the Python Agrivoltaic Simulation Environment (PASE), an MIT-licensed framework developed in partnership to assess the land productivity of agrivoltaic systems. The various expected benefits of this development are outlined, along with the open-source business model established with partners and the subsequent developments stemming from it. Examples illustrate how PASE effectively fulfils two primary requirements encountered by agrivoltaics stakeholders: predict irradiation on relevant surfaces and estimate agricultural and energy yields. In a dedicated experiment, PASE light model assumptions resulted in 1% error in the daily irradiation received by a sensor under two contrasted types of sky conditions. PASE’s ability to predict photovoltaic and crop yields and land equivalent ratio over several years is demonstrated for wheat on the BIODIV-SOLAR pilot. Ultimately, a sensitivity analysis of inter-row spacing demonstrates its usefulness to optimise systems according to different criteria.
Disciplines :
Energy Agriculture & agronomy Computer science
Author, co-author :
Bruhwyler, Roxane ; Université de Liège - ULiège > TERRA Research Centre
De Cock, Nicolas; DC-Core, Belgium
Brunet, Pascal; Naldeo Technologies Industries, Tarnos, France
Leloux, Jonathan; LuciSun, Belgium
Souquet, Pierre; TotalEnergies OneTech, PERL, Lacq, France
Perez, Etienne; Ombrea, Aix-en-Provence, France
Drahi, Etienne; TotalEnergies OneTech, Courbevoie, France
Dittmann, Sebastian; Fraunhofer-Center for Silicon Photovoltaics CSP, Halle, Germany ; Hochschule Anhalt University of Applied Sciences, Köthen, Germany
Lebeau, Frédéric ; Université de Liège - ULiège > Département GxABT > Biosystems Dynamics and Exchanges (BIODYNE)
Language :
English
Title :
Modelling light-sharing in agrivoltaics: the open-source Python Agrivoltaic Simulation Environment (PASE 1.0)
H2020 - 953016 - SERENDI-PV - Smooth, REliable aNd Dispatchable Integration of PV in EU Grids
Funders :
FRIA - Fonds pour la Formation à la Recherche dans l'Industrie et dans l'Agriculture EU - European Union BMBF - Bundesministerium für Bildung und Forschung
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