A novel method for detecting low-energy front glass cracks in photovoltaic modules using daylight electroluminescence imaging

By: Rodrigo Del Prado Santamaría, Mahmoud Dhimish, Gisele Alves Dos Reis Benatto, Thøger Kari, Peter Behrensdorff Poulsen, Sergiu Viorel Spataru

This paper proposes a novel application of daylight electroluminescence (EL) imaging for revealing low-energy glass cracks in photovoltaic (PV) modules. These cracks are typically difficult to detect from drone visual RGB or thermography images and require closeup inspection. Stationary EL records only silicon emission and therefore fails to show glass...

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Influence of irradiance and drone altitude in infrared thermography inspections of photovoltaic plants

By: Rodrigo del Prado Santamaría, Gisele Alves dos Reis Benatto, Mahmoud Dhimish, Timurhan Koc, Rizal Friansyah, Thøger Kari, Aysha Mahmood, Peter Behrensdorff Poulsen and Sergiu Viorel Spataru

This study evaluates the effectiveness of drone-based infrared thermography (IRT) for detecting photovoltaic (PV) module defects under varying drone altitudes and irradiance levels. A total of 43 PV modules were artificially degraded to induce common faults, including cell cracks, potential-induced degradation (PID), cell interconnect disconnections, glass cracks, and short-circuited bypass...

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What is the Optimal Path for a Drone Exploring a PV Plant?

By: M. Moriconi, G. Rocca, L. Grassi, G. Mottola, M. Paolucci, C. T. Recchiuto, and A. Sgorbissa

Inspecting photovoltaic (PV) plants is essential to ensure optimal performance. Drones can be employed to acquire both optical and thermal data for anomaly detection. However, while visual servoing can accurately guide a drone along individual PV panel rows, the inter-panel transitions between subsequent rows rely on the Global Navigation Satellite...

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Diagnosing PID in Field Electroluminescence Inspections of PV Modules Using Multilevel Forward Current Biasing

By: R. del Prado Santamaría, G.A. dos Reis Benatto, T. Kari, A. Mahmood, P. B. Poulsen, S.V. Spataru

Potential-induced degradation (PID) in photovoltaic (PV) modules can be identified using electroluminescence (EL) imaging by comparing the luminescence of degraded cells to that of healthy cells. In nondegraded modules, cells exhibit consistent radiative recombination and luminescence properties, whereas PID alters these, creating measurable differences. This work presents a methodology to...

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Evaluating IV curve derived features for fault detection

By: M. Bartholomäus, P. B. Poulsen, M. Dhimish, S. V. Spataru

IV curves contain diagnostic information which characterizes faults in photovoltaic systems. Past research used IV curve derived features for fault detection, but a systematic investigation of features in outdoor conditions is missing. In this work, we perform outdoor IV measurements on module level with varying penetration of potential induced degradation,...

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