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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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2022/6427076 |
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| author | V. Kirubakaran D. M. D. Preethi U. Arunachalam Yarrapragada K. S. S. Rao Mansour K. Gatasheh Nasrul Hoda Endalkachew Mergia Anbese |
| author_facet | V. Kirubakaran D. M. D. Preethi U. Arunachalam Yarrapragada K. S. S. Rao Mansour K. Gatasheh Nasrul Hoda Endalkachew Mergia Anbese |
| author_sort | V. Kirubakaran |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-46ce7fbc882041d2b6e2d08e82951adb |
| institution | Kabale University |
| issn | 1687-529X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-46ce7fbc882041d2b6e2d08e82951adb2025-02-03T01:07:22ZengWileyInternational Journal of Photoenergy1687-529X2022-01-01202210.1155/2022/6427076Infrared Thermal Images of Solar PV Panels for Fault Identification Using Image Processing TechniqueV. Kirubakaran0D. M. D. Preethi1U. Arunachalam2Yarrapragada K. S. S. Rao3Mansour K. Gatasheh4Nasrul Hoda5Endalkachew Mergia Anbese6Centre for Rural EnergyDepartment of Computer Science and EngineeringDepartment of Mechanical EngineeringDepartment of Mechanical EngineeringDepartment of BiochemistryDepartment of NeurologyDepartment of Civil EngineeringAmong 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.http://dx.doi.org/10.1155/2022/6427076 |
| spellingShingle | V. Kirubakaran D. M. D. Preethi U. Arunachalam Yarrapragada K. S. S. Rao Mansour K. Gatasheh Nasrul Hoda Endalkachew Mergia Anbese Infrared Thermal Images of Solar PV Panels for Fault Identification Using Image Processing Technique International Journal of Photoenergy |
| title | Infrared Thermal Images of Solar PV Panels for Fault Identification Using Image Processing Technique |
| title_full | Infrared Thermal Images of Solar PV Panels for Fault Identification Using Image Processing Technique |
| title_fullStr | Infrared Thermal Images of Solar PV Panels for Fault Identification Using Image Processing Technique |
| title_full_unstemmed | Infrared Thermal Images of Solar PV Panels for Fault Identification Using Image Processing Technique |
| title_short | Infrared Thermal Images of Solar PV Panels for Fault Identification Using Image Processing Technique |
| title_sort | infrared thermal images of solar pv panels for fault identification using image processing technique |
| url | http://dx.doi.org/10.1155/2022/6427076 |
| work_keys_str_mv | AT vkirubakaran infraredthermalimagesofsolarpvpanelsforfaultidentificationusingimageprocessingtechnique AT dmdpreethi infraredthermalimagesofsolarpvpanelsforfaultidentificationusingimageprocessingtechnique AT uarunachalam infraredthermalimagesofsolarpvpanelsforfaultidentificationusingimageprocessingtechnique AT yarrapragadakssrao infraredthermalimagesofsolarpvpanelsforfaultidentificationusingimageprocessingtechnique AT mansourkgatasheh infraredthermalimagesofsolarpvpanelsforfaultidentificationusingimageprocessingtechnique AT nasrulhoda infraredthermalimagesofsolarpvpanelsforfaultidentificationusingimageprocessingtechnique AT endalkachewmergiaanbese infraredthermalimagesofsolarpvpanelsforfaultidentificationusingimageprocessingtechnique |