Enhancing Photovoltaic Module Fault Detection and Diagnosis Skills through Experiential Learning

Fault detection and diagnosis (FDD) techniques play an essential role in optimising the performance and reliability of photovoltaic (PV) modules, given that they allow the understanding of the degradation process in PV module technology. Conducting outdoor inspections of PV modules is the preferred method for fault identification due to its practicality and efficiency. This paper presents an experiential learning activity for university students to introduce them to photovoltaic module fault detection and diagnosis techniques. The experiential learning activity, conducted as part of the PROMISE project's Advanced School, focuses on three fault identification techniques—thermography, electroluminescence, and UV fluorescence. Through hands-on activities, students are exposed to these techniques, enhancing their skills in detecting and diagnosing faults in PV modules. The paper concludes by highlighting the pedagogical benefits of experiential learning in PV reliability, contributing valuable insights into fault detection principles and enhancing critical thinking skills among students.