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Optimisation of vertically mounted agrivoltaic systems
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
Università Cattolica del Sacro Cuore, Department of Sustainable Crop Production, Via Emilia Parmense 84, Piacenza, Italy.
Università Cattolica del Sacro Cuore, Department of Sustainable Crop Production, Via Emilia Parmense 84, Piacenza, Italy.
2021 (English)In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 325, article id 129091Article in journal (Refereed) Published
Abstract [en]

Agrivoltaic systems represent a key technology for reaching sustainable development goals, by reducing the competition of land used for food versus land used for electricity. Moreover, agrivoltaic systems are at the centre of the nexus between electricity production, crop production, and irrigation water savings. In this study, an optimisation model for vertically mounted agrivoltaic systems with bifacial photovoltaic modules is developed. The model combines three main sub-models: solar radiation and shadings, photovoltaics, and crop yield. Validation of the sub-models is performed showing good agreement with measured data and commercial software. The optimisation model is set as multi objective to explore the trade-offs between competing agrivoltaic key performance indicators. Oats and potatoes are used as reference crops in this study. The results show that the row distance between bifacial photovoltaic module structures significantly affects the photosynthetically active radiation distribution. The resulting crop yield of oats and potato is reduced by about 50% as row distance decreases from 20 m to 5 m. The implementation of an agrivoltaic system for the investigated crops at the chosen location shows a land equivalent ratio above 1.2, which justifies the use of the technology for reaching national sustainability goals.

Place, publisher, year, edition, pages
Elsevier Ltd , 2021. Vol. 325, article id 129091
Keywords [en]
Agrivoltaic, Green economy, Optimisation, Sustainable development goals, Water–food–energy nexus, Benchmarking, Crops, Cultivation, Economic and social effects, Irrigation, Land use, Optimization, Photovoltaic cells, Planning, Solar power generation, Energy, Green economies, Land used, Optimisations, Optimization models, Photovoltaic modules, Submodels, Sustainable development goal, Sustainable development
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-56313DOI: 10.1016/j.jclepro.2021.129091ISI: 000723685400003Scopus ID: 2-s2.0-85117087210OAI: oai:DiVA.org:mdh-56313DiVA, id: diva2:1606774
Available from: 2021-10-28 Created: 2021-10-28 Last updated: 2021-12-14Bibliographically approved

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Campana, Pietro EliaStridh, Bengt

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