Drone-based thermal imaging system for identifying damaged photovoltaic modules

Cuong, Thai Hung *

Department of Technology, Dong Nai Technology University, Bien Hoa City, Dong Nai, Vietnam.
 
Research Article
Open Access Research Journal of Science and Technology, 2023, 07(02), 028–033.
Article DOI: 10.53022/oarjst.2023.7.2.0023
Publication history: 
Received on 21 February 2023; revised on 29 March 2023; accepted on 01 April 2023
 
Abstract: 
In this study, we found the temperature difference (MTD) between the normal part of a PV module and the damaged area is closely related to the efficiency of the module. Specifically, when the MTD is lower than a certain threshold, the efficiency of the module is significantly reduced. We also found that the MTD is closely related to the size of the damaged area. The experiment results of our study suggest that UAV and thermal imaging cameras can be used to detect and diagnose partially damaged PV modules with high accuracy. This can help reduce maintenance costs and increase the efficiency of PV systems. Moreover, this study provides a new method for diagnosing partially damaged PV modules, which can be used for further research.
 
Keywords: 
Defect of PV module; Thermal Imaging Detection; UAV Detection
 
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