Performance Analysis of Silicon PV Array Using Infrared Thermography and Detecting Temperature Non-Uniformities

Infrared thermography has emerged as a powerful non-contact technique for identifying temperature variations in silicon photovoltaic modules, which are often linked to performance degradation. This work presents an integrated approach that combines thermal imaging analysis with energy recovery using thermoelectric generators (TEGs). Temperature non-uniformities such as hotspots are detected through thermal imaging, indicating localized losses and inefficiencies within the PV panel.

These temperature gradients are further utilized as a potential energy source by strategically placing TEGs to convert excess heat into electrical energy. Additionally, an ultra-low voltage boost converter is modelled to enhance the usability of the generated TEG output. The study not only evaluates the thermal behavior of PV modules under varying operating conditions but also demonstrates a method to improve overall system efficiency by recovering otherwise wasted thermal energy. This approach contributes to both performance monitoring and energy optimization in solar power systems.

Thermography, Smart view, Thermo-electric generators.

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