Infrared Thermal Images of Solar PV Panels for Fault Identification Using Image Processing Technique

Among the renewable forms of energy, solar energy is a convincing, clean energy and acceptable worldwide. Solar PV plants, both ground mounting and the rooftop, are mushrooming thought the world. One of the significant challenges is the fault identification of the solar PV module, since a vast power...

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Bibliographic Details
Published in:International journal of photoenergy 2022-06, Vol.2022, p.1-10
Main Authors: Kirubakaran, V., Preethi, D. M. D., Arunachalam, U., Rao, Yarrapragada K. S. S., Gatasheh, Mansour K., Hoda, Nasrul, Anbese, Endalkachew Mergia
Format: Article
Language:English
Subjects:
Algorithms
Alternative energy sources
Clean energy
Condition monitoring
Expected values
Fault diagnosis
Heat detection
Image processing
Infrared imagery
Methods
Nondestructive testing
Panels
Photovoltaic cells
Power plants
Renewable resources
Software
Solar energy
Thermal imaging
Values
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Summary:Among the renewable forms of energy, solar energy is a convincing, clean energy and acceptable worldwide. Solar PV plants, both ground mounting and the rooftop, are mushrooming thought the world. One of the significant challenges is the fault identification of the solar PV module, since a vast power plant condition monitoring of individual panels is cumbersome. This paper attempts to identify the panel using a thermal imaging system and processes the thermal images using the image processing technique. An ordinary and thermal image has been processed in the image processing tool and proved that thermal images record the hot spots. Similarly, the new and aged solar photovoltaic panels were compared in the image processing technique since any fault in the panel has been recorded as hot spots. The image recorded in the aged panels records hot spots, and performance has been analyzed using conventional metrics. The experimental results have also been verified.
ISSN:1110-662X
1687-529X
DOI:10.1155/2022/6427076