Mohamed Elkadeem, Sebastian Zainali, Silvia Ma Lu , Ali Younes, Mohamed Ali Yousif Abido, Stefano Amaducci, Michele Croci, Jie Zhang, Tomas Landelius, Bengt Stridh, Pietro Elia Campana

Agrivoltaic systems represent an intelligent solution combining electricity production from solar photovoltaic technology with agricultural production and avoiding land use conflicts. Geographic Information System technologies can support the implementation and spread of agrivoltaic systems by identifying the most suitable areas using useful spatially explicit information concerning techno-agro-socio-economic criteria.
In this study, we have developed a procedure to identify and classify suitable areas for agrivoltaic systems in Sweden. An Ordinal Priority Approach based multi-criteria decision making algorithm is established to calculate the weights of the selected evaluation criteria through expert interviews. The land use data refers to the Corine Land Cover 2018 product.
The results show that 8.55% of the Swedish territory, approximately 38,485 km2, is suitable for installing APV systems. Among this area, 0.17% is classified as "excellent", about 15% as "very good", about 72% as "good", about 13.1% as "moderate", and less than 0.1% as "poor". Through the deployment of vertically mounted agrivoltaic systems with bifacial photovoltaic modules, the total "excellent" areas can potentially supply 2.44 TWh against the electricity consumption in 2021 of about 143 TWh. On the other hand, the land classified as "excellent" and "very good" could potentially provide about 207 TWh, which is a much higher production capacity than the 2021 electricity consumption. The total potential installed capacity for "excellent" areas is 2.3 GWp, while for areas classified "excellent" and "very good" is 201 GWp.