Condition Assessment of Solar Modules by Flash Test and Electroluminescence Test

被引:5
作者
Bodnar, Istvan [1 ]
Matusz-Kalasz, David [1 ]
Boros, Rafael Ruben [1 ]
Liptak, Robert [1 ]
机构
[1] Univ Miskolc, Inst Phys & Elect Engn, H-3515 Miskolc, Hungary
关键词
condition; thermography; electroluminescence; SILICON PHOTOVOLTAIC MODULES; DEFECT IDENTIFICATION; DUST-ACCUMULATION; PARAMETERS; IMAGES; CELLS; SURFACE;
D O I
10.3390/coatings11111361
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The Hungarian society and the Hungarian state are constantly increasing their solar capacity. More and more solar power plants are being put into operation. The largest of these has a 100 MW peak capacity. Such power plants do not require constant maintenance. However, in the case of low productivity, a conditional assessment is required. The reason for production loss can also be manufacturing, installation, and operational errors. A flying drone was used for finding failures by thermographic scouting. Furthermore, electroluminescent (EL) and flash tests give a comprehensive view of the real state of the modules in a mobile laboratory. We had the opportunity to summarize these test results of more than a thousand modules operating in a solar power plant. The report on the power plant shows that a significant part of the modules became unusable in a short time. After four years, 10% of the 260 Wp modules suffered a performance reduction of more than 10%.
引用
收藏
页数:13
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共 38 条
[1]   CNN based automatic detection of photovoltaic cell defects in electroluminescence images [J].
Akram, M. Waqar ;
Li, Guiqiang ;
Jin, Yi ;
Chen, Xiao ;
Zhu, Changan ;
Zhao, Xudong ;
Khaliq, Abdul ;
Faheem, M. ;
Ahmad, Ashfaq .
ENERGY, 2019, 189
[2]   Effect of Soiling on Solar Photovoltaic Performance under Desert Climatic Conditions [J].
Al Siyabi, Idris ;
Al Mayasi, Arwa ;
Al Shukaili, Aiman ;
Khanna, Sourav .
ENERGIES, 2021, 14 (03)
[3]   Removal of spoiling materials from solar panel surfaces by applying surface acoustic waves [J].
Alagoz, Serkan ;
Apak, Yasin .
JOURNAL OF CLEANER PRODUCTION, 2020, 253
[4]   Dust Removal from Solar PV Modules by Automated Cleaning Systems [J].
Alghamdi, Abdulsalam S. ;
Bahaj, AbuBakr S. ;
Blunden, Luke S. ;
Wu, Yue .
ENERGIES, 2019, 12 (15)
[5]   Early hotspot detection in photovoltaic modules using color image descriptors: An infrared thermography study [J].
Ali, Muhammad Umair ;
Saleem, Sajid ;
Masood, Haris ;
Kallu, Karam Dad ;
Masud, Manzar ;
Alvi, Muhammad Junaid ;
Zafar, Amad .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2022, 46 (02) :774-785
[6]   Economic Effect of Dust Particles on Photovoltaic Plant Production [J].
Alonso-Montesinos, Joaquin ;
Rodriguez Martinez, Francisco ;
Polo, Jesus ;
Martin-Chivelet, Nuria ;
Javier Batlles, Francisco .
ENERGIES, 2020, 13 (23)
[7]   Novel Utility-Scale Photovoltaic Plant Electroluminescence Maintenance Technique by Means of Bidirectional Power Inverter Controller [J].
Ballestin-Fuertes, Javier ;
Munoz-Cruzado-Alba, Jesus ;
Sanz-Osorio, Jose F. ;
Hernandez-Callejo, Luis ;
Alonso-Gomez, Victor ;
Ignacio Morales-Aragones, Jose ;
Gallardo-Saavedra, Sara ;
Martinez-Sacristan, Oscar ;
Moreton-Fernandez, Angel .
APPLIED SCIENCES-BASEL, 2020, 10 (09)
[8]   Analysis of electroluminescence and infrared thermal images of monocrystalline silicon photovoltaic modules after 20 years of outdoor use in a solar vehicle [J].
Berardone, I. ;
Garcia, J. Lopez ;
Paggi, M. .
SOLAR ENERGY, 2018, 173 :478-486
[9]   Accurate and robust crack detection using steerable evidence filtering in electroluminescence images of solar cells [J].
Chen, Haiyong ;
Zhao, Huifang ;
Han, Da ;
Liu, Kun .
OPTICS AND LASERS IN ENGINEERING, 2019, 118 :22-33
[10]   Automatic classification of defective photovoltaic module cells in electroluminescence images [J].
Deitsch, Sergiu ;
Christlein, Vincent ;
Berger, Stephan ;
Buerhop-Lutz, Claudia ;
Maier, Andreas ;
Gallwitz, Florian ;
Riess, Christian .
SOLAR ENERGY, 2019, 185 :455-468