Hotspot detection in photovoltaic array using thermal imaging method
To maintain the long-term reliability of photovoltaic (PV) modules while maximizing the power output, possible faults in the PV modules need to be diagnosed at an early stage. One of the problems that arise in the PV system is the formation of the hotspot. Numerous hotspot detection methods have bee...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
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Springer Science and Business Media Deutschland GmbH
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/39577/ http://umpir.ump.edu.my/id/eprint/39577/1/Hotspot%20Detection%20in%20Photovoltaic%20Array%20Using%20Thermal%20Imaging%20Method.pdf http://umpir.ump.edu.my/id/eprint/39577/2/Hotspot%20detection%20in%20photovoltaic%20array%20using%20thermal%20imaging%20method_ABS.pdf |
| _version_ | 1848825804656476160 |
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| author | Mohd Shawal, Jadin Shahira Farhana, Ahmad Safian Kamarul Hawari, Ghazali Ven, Tan Li Ahmad Syahiman, Mohd Shah |
| author_facet | Mohd Shawal, Jadin Shahira Farhana, Ahmad Safian Kamarul Hawari, Ghazali Ven, Tan Li Ahmad Syahiman, Mohd Shah |
| author_sort | Mohd Shawal, Jadin |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | To maintain the long-term reliability of photovoltaic (PV) modules while maximizing the power output, possible faults in the PV modules need to be diagnosed at an early stage. One of the problems that arise in the PV system is the formation of the hotspot. Numerous hotspot detection methods have been presented over the years to address this issue. This paper presents a non-destructive method based on aerial infrared thermography inspection using a drone for detecting the hotspot in a large-scale PV system. The result shows that the approach can successfully detect the formation of the hotspot in the PV array with overall temperature differences between normal and hotspot cells in the range of 0.6 to 20.4 ℃. |
| first_indexed | 2025-11-15T03:34:45Z |
| format | Conference or Workshop Item |
| id | ump-39577 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:34:45Z |
| publishDate | 2022 |
| publisher | Springer Science and Business Media Deutschland GmbH |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-395772023-12-11T03:11:17Z http://umpir.ump.edu.my/id/eprint/39577/ Hotspot detection in photovoltaic array using thermal imaging method Mohd Shawal, Jadin Shahira Farhana, Ahmad Safian Kamarul Hawari, Ghazali Ven, Tan Li Ahmad Syahiman, Mohd Shah T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering To maintain the long-term reliability of photovoltaic (PV) modules while maximizing the power output, possible faults in the PV modules need to be diagnosed at an early stage. One of the problems that arise in the PV system is the formation of the hotspot. Numerous hotspot detection methods have been presented over the years to address this issue. This paper presents a non-destructive method based on aerial infrared thermography inspection using a drone for detecting the hotspot in a large-scale PV system. The result shows that the approach can successfully detect the formation of the hotspot in the PV array with overall temperature differences between normal and hotspot cells in the range of 0.6 to 20.4 ℃. Springer Science and Business Media Deutschland GmbH 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39577/1/Hotspot%20Detection%20in%20Photovoltaic%20Array%20Using%20Thermal%20Imaging%20Method.pdf pdf en http://umpir.ump.edu.my/id/eprint/39577/2/Hotspot%20detection%20in%20photovoltaic%20array%20using%20thermal%20imaging%20method_ABS.pdf Mohd Shawal, Jadin and Shahira Farhana, Ahmad Safian and Kamarul Hawari, Ghazali and Ven, Tan Li and Ahmad Syahiman, Mohd Shah (2022) Hotspot detection in photovoltaic array using thermal imaging method. In: Lecture Notes in Electrical Engineering; 6th International Conference on Electrical, Control and Computer Engineering, InECCE 2021 , 23 August 2021 , Kuantan, Pahang. pp. 101-107., 842 (274719). ISSN 1876-1100 ISBN 978-981168689-4 (Published) https://doi.org/10.1007/978-981-16-8690-0_10 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Mohd Shawal, Jadin Shahira Farhana, Ahmad Safian Kamarul Hawari, Ghazali Ven, Tan Li Ahmad Syahiman, Mohd Shah Hotspot detection in photovoltaic array using thermal imaging method |
| title | Hotspot detection in photovoltaic array using thermal imaging method |
| title_full | Hotspot detection in photovoltaic array using thermal imaging method |
| title_fullStr | Hotspot detection in photovoltaic array using thermal imaging method |
| title_full_unstemmed | Hotspot detection in photovoltaic array using thermal imaging method |
| title_short | Hotspot detection in photovoltaic array using thermal imaging method |
| title_sort | hotspot detection in photovoltaic array using thermal imaging method |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/39577/ http://umpir.ump.edu.my/id/eprint/39577/ http://umpir.ump.edu.my/id/eprint/39577/1/Hotspot%20Detection%20in%20Photovoltaic%20Array%20Using%20Thermal%20Imaging%20Method.pdf http://umpir.ump.edu.my/id/eprint/39577/2/Hotspot%20detection%20in%20photovoltaic%20array%20using%20thermal%20imaging%20method_ABS.pdf |