Understanding how a photovoltaic module behaves over time is essential for assessing the condition of a system. Today, artificial intelligence and new diagnostic techniques can make this analysis increasingly accurate and efficient.
A new experimental methodology makes it possible to reconstruct power losses from a single electroluminescence image. The analysis can reach the level of individual cell areas, identifying degradation phenomena and defects that may affect performance.
The use of images captured by drones also opens up new possibilities for inspecting large-scale plants, where speed and the ability to analyze numerous modules can improve the efficiency of monitoring and maintenance activities.
The evolution of diagnostic techniques shows how increasingly detailed our understanding of photovoltaic modules is becoming throughout their entire life cycle. For Peimar, technological research, performance monitoring and attention to quality are part of the same path: developing modules also means understanding how they behave over time and contributing to photovoltaic systems designed to maintain their value in the long term.
