Performance prediction of floating photovoltaic frames based on uncertainty theory

A key component of solar photovoltaic (PV) modules, the frame plays a crucial role in panel installation and service life. This study investigates the performance degradation of floating PV frames in harsh offshore environments. Environmental monitoring systems with optimized sensor networks were deployed to record temperature, humidity, salt spray, and corrosion levels. Failure modes were analyzed using discipline-specific equations and margin modeling techniques. Corrosion and environmental data collected under marine conditions were processed to establish a performance degradation model, with systematic identification of uncertainty sources. An updated margin framework was employed to enable reliability quantification and performance prediction under combined temperature, humidity, and salt spray conditions. The proposed methodology provides a foundation for enhancing the environmental adaptability and operational reliability of floating PV systems and offers theoretical guidance for the sus tainable development of offshore PV installations.