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Experimental results, integrated model validation, and economic aspects of agrivoltaic systems at northern latitudes
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-1351-9245
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0003-3168-1569
Swedish University of Agricultural Sciences, Department of Biosystems and Technology, Alnarp, Sweden.
Swedish University of Agricultural Sciences, Department of Biosystems and Technology, Alnarp, Sweden.
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2024 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 437, article id 140235Article in journal (Refereed) Published
Abstract [en]

Agrivoltaic systems, which allow the coexistence of crop and electricity production on the same land, are an integrated water–energy–food nexus solution that allows the simultaneous attainment of conflicting Sustainable Development Goals. This study aims to analyse experimental results on the responses of ley grass yield and quality to shadings in the first agrivoltaic system in Sweden. It also aims to validate an integrated modelling platform for assessing agrivoltaic systems' performances before installation. An economic analysis is carried out to compare the profitability of agrivoltaic versus conventional ground-mounted photovoltaic systems and, using a Monte Carlo Analysis, to identify the parameters that most affect the profitability. Despite the agrivoltaic systems’ supporting structures and photovoltaic modules producing an average ∼25% reduction in photosynthetically active radiation at ground level, no statistically significant difference was observed between the yield of the samples under the agrivoltaic system compared to the yield of the samples in the reference area. The agrivoltaic system attained land equivalent ratios of 1.27 and 1.39 in 2021 and 2022, respectively. The validation results of the integrated modelling platform show that the sub-model concerning the crop yield response to shading conditions tends to underestimate ∼7% the actual average crop yield under the agrivoltaic system. The results of the economic analysis show that, from a net present value perspective, agrivoltaic systems have a profitability that is ∼30 times higher than a conventional crop rotation in Sweden.

Place, publisher, year, edition, pages
Elsevier Ltd , 2024. Vol. 437, article id 140235
Keywords [en]
Agrivoltaic, Integrated modelling, Leaf area index, Profitability, Shading, Soil moisture, Validation, Crop rotation, Economic analysis, Crop yield, Economic aspects, Economics analysis, Integrated modeling, Model validation, Modeling platforms
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:mdh:diva-66092DOI: 10.1016/j.jclepro.2023.140235ISI: 001164475200001Scopus ID: 2-s2.0-85184738863OAI: oai:DiVA.org:mdh-66092DiVA, id: diva2:1839224
Available from: 2024-02-20 Created: 2024-02-20 Last updated: 2024-04-22Bibliographically approved

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Campana, Pietro EliaStridh, BengtZainali, SebastianMa Lu, SilviaZidane, Tekai Eddine Khalil

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Campana, Pietro EliaStridh, BengtZainali, SebastianMa Lu, SilviaZidane, Tekai Eddine Khalil
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