Study case: The water-cooling effect on floating photovoltaic plants performance

Abstract: Floating solar technology is relatively new, and it comes with its own set of challenges and opportunities. This master thesis focuses on understanding how Floating Photovoltaic (FPV) projects perform compared to Ground-Based Photovoltaic (GPV) projects, in specific weather conditions. The following work is based on a case study: a floating power plant run by Akuo Energy, where sensors have been installed in order to measure the evolution of relevant physical and weather parameters on-site. Akuo Energy is a French independent renewable energy producer and developer founded in 2007. The company specializes in the development, financing, construction, and operation of renewable energy projects, including wind, solar and storage power plants. It is committed to producing clean, affordable, and reliable energy while promoting sustainable development and supporting local communities. The thesis is conducted within the Solar Technology Team, which centralizes the solar expertise of the company and implements innovative technologies to improve their Photovoltaic (PV) projects’ performances. As the number of FPV projects increases, the team raised the need for better evaluation of their performance compared to a standard GPV project, in terms of output power and energy yield. As it appears in the literature, FPV installations can differ from GPV, due to different operating conditions: power plant designs, module cooling, weather conditions, or degradation rates. These parameters need to be taken into account in the expected energy yield analysis, especially module cooling, since operating temperature has a proved impact on module efficiency. Today, technological and economic considerations on FPV specific design are therefore essential. However, the main solar projects development software PVsyst used at Akuo Energy does not include a default floating solar library. Experimental measurements are a good starting point for understanding how the numerical model needs to evolve to adapt to the FPV system. By examining a practical case and processing historical data, insights on FPV systems and how weather affects their efficiency can be provided. The objective of this thesis is then to better model the FPV array thermal losses due to the cooling effect and better estimate the yield for future Akuo Energy FPV projects during the development phase.