Improved system design for innovative PV applications (EUPI-PV Partnership)

Expected Outcome:Agrivoltaics or the co-location of agricultural activity and PV electricity production is a novel form of PV deployment which could provide farmers with diversified revenue sources and ecological benefits, while reducing land use competition, siting restrictions or adverse impacts on biodiversity and agricultural production. Optimizing system designs and business practices will help to enable simultaneous land use creating synergy for both agriculture and electricity production; this can benefit farmers, lower PV costs and enable the European Union to reach the goals of the EU solar energy strategy.Similarly, offshore/nearshore PV systems represent a tremendous deployment potential in Europe and globally, due to their advantages in conserving land resources and optimizing light utilization. However, prevailing technical challenges limit deployment in most sea conditions usually found in Europe.Project results are therefore expected to contribute to some of the following expected outcomes, depending on the proposed system (agriPV or offshore/nearshore PV): Harvesting of crops and photovoltaic electricity, providing sustainable solutions for energy production/use/efficiency, soil and biodiversity protection and water conservation.Reinforce the European PV value chain, introduce new business models and open new markets for novel, bankable agri or offshore/nearshore PV systems.Minimise the impact of PV on landscape/sea and environment exploiting its modularity and synergies of use. Promote offshore wind and PV co-location and system integration.Significant improvement of designs that reduce both CAPEX and OPEX, maximize energy output and thus reduce LCoE.Promote integrated and multi-dimensional policy design to overcome socio-technical challenges for agri and offshore/nearshore PV deployment. Scope:Proposals must address only one of the two areas (agriPV or offshore/nearshore PV). They are expected to demonstrate:A comprehensive (system) modelling fo