Prediction of Fault for Floating Photovoltaics via Mechanical Stress Evaluation of Wind Speed and Wave Height

The escalating demand for environmentally sustainable energy sources in response to climate change necessitates the expansion of renewable power generation, particularly in the field of photovoltaic (PV) technology. Continuous advancements in PV power generation have substantially reduced production costs and chronic initial defects in PV modules. Effective PV power generation requires meticulous consideration of the installation structures and site selection processes. However, the identification of suitable power-generation locations often encounters challenges associated with civil complaints and environmental impediments. Floating Photovoltaic (FPV) systems positioned on water bodies have emerged as a promising solution for mitigating the environmental concerns associated with ground-based installations. This study endeavors to scrutinizes the reliability of PV modules within water-based FPV systems by leveraging climate data for analysis. Module deformation is forecasted through material simulations, and the output values are estimated. An empirical pressurization experiment validates the actual alterations in the output values during a defect, thereby explaining the potential defect types. Considering the escalating investments in FPV power generation facilities, this study anticipates and assesses the potential defects and problems arising from natural disasters. The objective is to provide a robust predictive model for FPV power generation, encompassing dynamic simulations based on material properties and the outcomes of mechanical design of experiments on PV modules. The proposed methodology aims to provide scholarly insights into the judicious selection of FPV installation structures and optimal sites in placid water conditions and in circumstances characterized by strong winds and high oceanic waves. The proactive analytical framework enhances the decision-making processes concerning the installation and operation of FPV systems.