Defect inspection of photovoltaic solar modules using aerial electroluminescence (EL): A review

被引:0
|
作者
Mahdavipour, Zeinab [1 ]
机构
[1] TT Vis Technol Sdn Bhd, Plot 106,Hilir Sungai Keluang 5,Phase 4, George Town 11900, Malaysia
关键词
PV modules; Electroluminescence; Aerial EL; Defect inspection; Large area inspection; Drone inspection; FAULT-DIAGNOSIS; SYSTEMS; CELLS; DEGRADATION; PARAMETERS; PLANTS; LIGHT;
D O I
10.1016/j.solmat.2024.113210
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In recent years, aerial defect inspection methods have emerged as cost-efficient and rapid approaches, proving to be reliable techniques for detecting failures in photovoltaic (PV) systems. These methods are designed to swiftly conduct comprehensive monitoring of PV power plants, spanning from the commissioning phase to the entire operational lifetime. This paper presents a literature review on reported the aerial EL framework for PV system inspection. EL inspection on PV modules can be used to detect of defects, cracks, shunting, etc., with the aim of assisting to overcome any possible future major breakdown in the modules. While there are comprehensive review articles covering subjects such as infrared thermography (IRT), digital image processing (DIP), EL inspection classification, and deep learning techniques, there is currently no focused review exclusively on aerial EL inspection. In this mini review, we delve into the latest articles on aerial EL inspection, highlighting both the advantages and drawbacks of this technique. The contribution of this paper is to provide a focused review of the aerial EL inspection technique as a cutting-edge solution for evaluating module quality and identifying defective modules or problem areas.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Transfer Learning based Photovoltaic Module Defect Diagnosis using Aerial Images
    Ding, Shihao
    Yang, Qiang
    Li, Xiaoxia
    Yan, Wenjun
    Ruan, Wei
    2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 4245 - 4250
  • [42] Defect detection of solar cells in electroluminescence images using Fourier image reconstruction
    Tsai, Du-Ming
    Wu, Shih-Chieh
    Li, Wei-Chen
    SOLAR ENERGY MATERIALS AND SOLAR CELLS, 2012, 99 : 250 - 262
  • [43] A benchmark dataset for defect detection and classification in electroluminescence images of PV modules using semantic segmentation
    Pratt, Lawrence
    Mattheus, Jana
    Klein, Richard
    SYSTEMS AND SOFT COMPUTING, 2023, 5
  • [44] Fault Monitoring System for Photovoltaic Modules in Solar Panels using LabVIEW
    Srividya, P.
    Sankonatti, Jagannath
    2018 INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN ELECTRICAL, ELECTRONICS & COMMUNICATION ENGINEERING (ICRIEECE 2018), 2018, : 2366 - 2369
  • [45] Parameter Extraction of Solar Photovoltaic Modules Using Gravitational Search Algorithm
    Sarjila, R.
    Ravi, K.
    Edward, J. Belwin
    Kumar, K. Sathish
    Prasad, Avagaddi
    JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2016, 2016 (2016)
  • [46] Hotspot diagnosis for solar photovoltaic modules using a Naive Bayes classifier
    Niazi, Kamran Ali Khan
    Akhtar, Wajahat
    Khan, Hassan A.
    Yang, Yongheng
    Athar, Shahrukh
    SOLAR ENERGY, 2019, 190 : 34 - 43
  • [47] Recycling of Discarded Photovoltaic Solar Modules for Metal Recovery: A Review and Outlook for the Future
    Gahlot, Rohit
    Mir, Shaila
    Dhawan, Nikhil
    ENERGY & FUELS, 2022, 36 (24) : 14554 - 14572
  • [48] Characteristics and cleaning methods of dust deposition on solar photovoltaic modules-A review
    He, Beihua
    Lu, Hao
    Zheng, Chuanxiao
    Wang, Yanlin
    ENERGY, 2023, 263
  • [49] Applied imagery pattern recognition for photovoltaic modules' inspection: A review on methods, challenges and future development
    Yahya, Zefri
    Imane, Sebari
    Hicham, Hajji
    Ghassane, Aniba
    Safia, El Bouchini-Idrissi
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2022, 52
  • [50] Front glass crack inspection of thin-film solar photovoltaic modules using high-order ultrasonic Lamb waves
    Silitonga, Dicky
    Declercq, Nico F.
    Meraghni, Fodil
    Boussert, Bertrand
    SOLAR ENERGY, 2024, 274