Hotspot detection of solar photovoltaic system : A perspective from image processing

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

[img] Pdf
Hotspot detection of solar photovoltaic system_ A perspective.pdf
Restricted to Repository staff only

Download (1MB) | Request a copy
Hotspot detection of solar photovoltaic system_A perspective from image processing_ABS.pdf

Download (344kB) | Preview


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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Hotspot; Image processing; Solar PV system
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: College of Engineering
Faculty of Electrical and Electronic Engineering Technology
Depositing User: Mr Muhamad Firdaus Janih@Jaini
Date Deposited: 06 Nov 2023 06:42
Last Modified: 06 Nov 2023 06:42
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item