Modelling light-sharing in agrivoltaics: the open-source Python Agrivoltaic Simulation Environment (PASE 1.0)

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 complianc...

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Bibliographic Details
Published in:Agroforestry systems Vol. 98; no. 8; pp. 2747 - 2764
Main Authors: Bruhwyler, Roxane, De Cock, Nicolas, Brunet, Pascal, Leloux, Jonathan, Souquet, Pierre, Perez, Etienne, Drahi, Etienne, Dittmann, Sebastian, Lebeau, Frédéric
Format: Journal Article
Language:English
Published: Dordrecht Springer Netherlands 01.12.2024
Springer Nature B.V
Springer Science and Business Media B.V
Subjects:
Agricultural production
Agriculture
Agriculture & agronomie
Agriculture & agronomy
agrivoltaic systems
Agrivoltaics
agroforestry
Agronomy and Crop Science
Biomedical and Life Sciences
compliance
Computer science
Crop model
Crop yield
econometric models
Efficiency
Energie
Energy
Engineering, computing & technology
Forestry
Ingénierie, informatique & technologie
Irradiation
land productivity
Life Sciences
Modelling
Photovoltaics
Python
Radiation
Ray tracing
Renewable energy
renewable energy sources
Row spacing
Sciences du vivant
Sciences informatiques
Sensitivity analysis
stakeholders
wheat
Agrivoltaics
Ray tracing
Modelling
Crop model
Efficiency
ISSN:0167-4366, 1572-9680, 1572-9680
Online Access:Get full text
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Summary: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.
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info:eu-repo/grantAgreement/EC/H2020/953016
scopus-id:2-s2.0-85207674031
ISSN:0167-4366
1572-9680
1572-9680
DOI:10.1007/s10457-024-01090-8