Hotspot detection of solar photovoltaic system : A perspective from image processing
Research in solar energy has rapidly grown since its significant and contributes to the advancement in clean renewable energy technology. Effective energy management such as fault detection impacts the early-stage monitoring for the efficiency, reliability, and safety of solar photovoltaic (PV) syst...
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Institute of Electrical and Electronics Engineers Inc
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/38774/1/Hotspot%20detection%20of%20solar%20photovoltaic%20system_%20A%20perspective.pdf http://umpir.ump.edu.my/id/eprint/38774/2/Hotspot%20detection%20of%20solar%20photovoltaic%20system_A%20perspective%20from%20image%20processing_ABS.pdf |
| _version_ | 1796995927173496832 |
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| author | Nurul Huda, Ishak Iza Sazanita, Isa Muhammad Khusairi, Osman Kamarulazhar, Daud Mohd Shawal, Jadin |
| author_facet | Nurul Huda, Ishak Iza Sazanita, Isa Muhammad Khusairi, Osman Kamarulazhar, Daud Mohd Shawal, Jadin |
| author_sort | Nurul Huda, Ishak |
| collection | UMP |
| description | Research in solar energy has rapidly grown since its significant and contributes to the advancement in clean renewable energy technology. Effective energy management such as fault detection impacts the early-stage monitoring for the efficiency, reliability, and safety of solar photovoltaic (PV) systems. The formation of a hotspot is one of the issues commonly occurred in a PV system. However, the main limitation of hotspot detection is the difficulty to interpret specific components with erratic temperatures in the thermographic images for attributes in the intelligence detection model. In this study, a review of hotspot detection in solar PV panels using the image processing method is established based on the image processing field. The integration of image processing approach can further assist in developing automated fault detection in solar PV farms for effective preventive monitoring methods. Therefore, several aspects need to be categorized and considered accordingly for achieving accurate prediction. Several ways were discussed, and future research is suggested in this study. |
| first_indexed | 2024-03-06T13:09:29Z |
| format | Conference or Workshop Item |
| id | UMPir38774 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T13:09:29Z |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc |
| record_format | dspace |
| spelling | UMPir387742023-11-06T06:42:18Z http://umpir.ump.edu.my/id/eprint/38774/ Hotspot detection of solar photovoltaic system : A perspective from image processing Nurul Huda, Ishak Iza Sazanita, Isa Muhammad Khusairi, Osman Kamarulazhar, Daud Mohd Shawal, Jadin T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Research in solar energy has rapidly grown since its significant and contributes to the advancement in clean renewable energy technology. Effective energy management such as fault detection impacts the early-stage monitoring for the efficiency, reliability, and safety of solar photovoltaic (PV) systems. The formation of a hotspot is one of the issues commonly occurred in a PV system. However, the main limitation of hotspot detection is the difficulty to interpret specific components with erratic temperatures in the thermographic images for attributes in the intelligence detection model. In this study, a review of hotspot detection in solar PV panels using the image processing method is established based on the image processing field. The integration of image processing approach can further assist in developing automated fault detection in solar PV farms for effective preventive monitoring methods. Therefore, several aspects need to be categorized and considered accordingly for achieving accurate prediction. Several ways were discussed, and future research is suggested in this study. Institute of Electrical and Electronics Engineers Inc 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/38774/1/Hotspot%20detection%20of%20solar%20photovoltaic%20system_%20A%20perspective.pdf pdf en http://umpir.ump.edu.my/id/eprint/38774/2/Hotspot%20detection%20of%20solar%20photovoltaic%20system_A%20perspective%20from%20image%20processing_ABS.pdf Nurul Huda, Ishak and Iza Sazanita, Isa and Muhammad Khusairi, Osman and Kamarulazhar, Daud and Mohd Shawal, Jadin (2023) Hotspot detection of solar photovoltaic system : A perspective from image processing. In: 2023 IEEE 3rd International Conference in Power Engineering Applications: Shaping Sustainability Through Power Engineering Innovation, ICPEA 2023 , 6-7 March 2023 , Virtual, Online. pp. 263-267.. ISBN 978-166547501-3 https://doi.org/10.1109/ICPEA56918.2023.10093148 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Nurul Huda, Ishak Iza Sazanita, Isa Muhammad Khusairi, Osman Kamarulazhar, Daud Mohd Shawal, Jadin Hotspot detection of solar photovoltaic system : A perspective from image processing |
| title | Hotspot detection of solar photovoltaic system : A perspective from image processing |
| title_full | Hotspot detection of solar photovoltaic system : A perspective from image processing |
| title_fullStr | Hotspot detection of solar photovoltaic system : A perspective from image processing |
| title_full_unstemmed | Hotspot detection of solar photovoltaic system : A perspective from image processing |
| title_short | Hotspot detection of solar photovoltaic system : A perspective from image processing |
| title_sort | hotspot detection of solar photovoltaic system a perspective from image processing |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/38774/1/Hotspot%20detection%20of%20solar%20photovoltaic%20system_%20A%20perspective.pdf http://umpir.ump.edu.my/id/eprint/38774/2/Hotspot%20detection%20of%20solar%20photovoltaic%20system_A%20perspective%20from%20image%20processing_ABS.pdf |
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