Research on Performance Prediction of Floating Photovoltaic Key Components Considering Environmental Impact
The demanding conditions of the offshore environment present significant challenges to the durability of crucial photovoltaic(PV)components.By conducting failure mode analysis and performance prediction research on these key components using the fault tree model,we can enhance the environmental adaptability and service reliability of floating PV systems.This enhancement is pivotal for the sustainable development of floating PV technology.In this paper,we convert the fault tree model for electrical connectors in the marine environment into a directed acyclic network and construct a Bayesian probability relationship diagram for photovoltaic electrical connectors.Furthermore,we analyze corrosion data,salt spray data,and temperature data collected from the photovoltaic system in its operational environment.Through this analysis,we derive trends that illustrate the impact of the marine environment on the performance of photovoltaic stations.Additionally,we establish a performance prediction model for key photovoltaic components based on these trends,considering the influence of temperature,humidity,and salt spray conditions.Finally,we provide an outlook for future research directions in this field.
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