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Inspection and condition monitoring of large-scale photovoltaic power plants: A review of imaging technologies

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  • Høiaas, Ingeborg
  • Grujic, Katarina
  • Imenes, Anne Gerd
  • Burud, Ingunn
  • Olsen, Espen
  • Belbachir, Nabil

Abstract

The massive growth of PV farms, both in number and size, has motivated new approaches in inspection system design and monitoring. This paper presents a review of imaging technologies and methods for analysis and characterization of faults in photovoltaic (PV) modules. The paper provides a brief overview of PV system (PVS) reliability studies and monitoring approaches where fault related PVS power loss is evaluated. Research on infrared thermography (IRT) and luminescence imaging technologies is thoroughly reviewed, with focus on ease of implementation, efficiency and unmanned aerial system (UAS) compatibility. Furthermore, the review will provide novel insight into state-of-the-art electroluminescence (EL), photoluminescence (PL) and ultraviolet fluorescence (UVF) imaging, and how to interpret these images. The development of imaging techniques will continue to be an attractive domain of research that can be combined with aerial scanning for a cost-effective remote inspection that enable reliable power production in large-scale PV plants.

Suggested Citation

  • Høiaas, Ingeborg & Grujic, Katarina & Imenes, Anne Gerd & Burud, Ingunn & Olsen, Espen & Belbachir, Nabil, 2022. "Inspection and condition monitoring of large-scale photovoltaic power plants: A review of imaging technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
  • Handle: RePEc:eee:rensus:v:161:y:2022:i:c:s1364032122002647
    DOI: 10.1016/j.rser.2022.112353
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    1. Tsanakas, John A. & Ha, Long D. & Al Shakarchi, F., 2017. "Advanced inspection of photovoltaic installations by aerial triangulation and terrestrial georeferencing of thermal/visual imagery," Renewable Energy, Elsevier, vol. 102(PA), pages 224-233.
    2. Mellit, A. & Tina, G.M. & Kalogirou, S.A., 2018. "Fault detection and diagnosis methods for photovoltaic systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1-17.
    3. Muehleisen, Wolfgang & Eder, Gabriele C. & Voronko, Yuliya & Spielberger, Markus & Sonnleitner, Horst & Knoebl, Karl & Ebner, Rita & Ujvari, Gusztav & Hirschl, Christina, 2018. "Outdoor detection and visualization of hailstorm damages of photovoltaic plants," Renewable Energy, Elsevier, vol. 118(C), pages 138-145.
    4. Triki-Lahiani, Asma & Bennani-Ben Abdelghani, Afef & Slama-Belkhodja, Ilhem, 2018. "Fault detection and monitoring systems for photovoltaic installations: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2680-2692.
    5. Tsanakas, John A. & Ha, Long & Buerhop, Claudia, 2016. "Faults and infrared thermographic diagnosis in operating c-Si photovoltaic modules: A review of research and future challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 695-709.
    6. Papargyri, Lamprini & Theristis, Marios & Kubicek, Bernhard & Krametz, Thomas & Mayr, Christoph & Papanastasiou, Panos & Georghiou, George E., 2020. "Modelling and experimental investigations of microcracks in crystalline silicon photovoltaics: A review," Renewable Energy, Elsevier, vol. 145(C), pages 2387-2408.
    7. Woo Gyun Shin & Suk Whan Ko & Hyung Jun Song & Young Chul Ju & Hye Mi Hwang & Gi Hwan Kang, 2018. "Origin of Bypass Diode Fault in c-Si Photovoltaic Modules: Leakage Current under High Surrounding Temperature," Energies, MDPI, vol. 11(9), pages 1-11, September.
    8. Santhakumari, Manju & Sagar, Netramani, 2019. "A review of the environmental factors degrading the performance of silicon wafer-based photovoltaic modules: Failure detection methods and essential mitigation techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 83-100.
    9. Mik, Krzysztof & Bugaj, Marcin & Chaja, Patryk, 2021. "The evaluation of the snail track affected photovoltaic modules by different methods after 3-year operating in central Poland," Renewable Energy, Elsevier, vol. 163(C), pages 504-516.
    10. Romênia G. Vieira & Fábio M. U. de Araújo & Mahmoud Dhimish & Maria I. S. Guerra, 2020. "A Comprehensive Review on Bypass Diode Application on Photovoltaic Modules," Energies, MDPI, vol. 13(10), pages 1-21, May.
    11. Madeti, Siva Ramakrishna & Singh, S.N., 2017. "Monitoring system for photovoltaic plants: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1180-1207.
    12. Dolara, Alberto & Lazaroiu, George Cristian & Leva, Sonia & Manzolini, Giampaolo, 2013. "Experimental investigation of partial shading scenarios on PV (photovoltaic) modules," Energy, Elsevier, vol. 55(C), pages 466-475.
    13. Cabrera-Tobar, Ana & Bullich-Massagué, Eduard & Aragüés-Peñalba, Mònica & Gomis-Bellmunt, Oriol, 2016. "Topologies for large scale photovoltaic power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 309-319.
    14. Isidoro Lillo-Bravo & Pablo González-Martínez & Miguel Larrañeta & José Guasumba-Codena, 2018. "Impact of Energy Losses Due to Failures on Photovoltaic Plant Energy Balance," Energies, MDPI, vol. 11(2), pages 1-23, February.
    15. Maghami, Mohammad Reza & Hizam, Hashim & Gomes, Chandima & Radzi, Mohd Amran & Rezadad, Mohammad Ismael & Hajighorbani, Shahrooz, 2016. "Power loss due to soiling on solar panel: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1307-1316.
    16. Han, Changwoon & Lee, Hyeonseok, 2018. "Investigation and modeling of long-term mismatch loss of photovoltaic array," Renewable Energy, Elsevier, vol. 121(C), pages 521-527.
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    1. Alberto Redondo Plaza & Victor Ndeti Ngungu & Sara Gallardo Saavedra & José Ignacio Morales Aragonés & Víctor Alonso Gómez & Lilian Johanna Obregón & Luis Hernández Callejo, 2023. "Partial Photoluminescence Imaging for Inspection of Photovoltaic Cells: Artificial LED Excitation and Sunlight Excitation," Energies, MDPI, vol. 16(11), pages 1-12, June.
    2. Adnan Aslam & Naseer Ahmed & Safian Ahmed Qureshi & Mohsen Assadi & Naveed Ahmed, 2022. "Advances in Solar PV Systems; A Comprehensive Review of PV Performance, Influencing Factors, and Mitigation Techniques," Energies, MDPI, vol. 15(20), pages 1-52, October.

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