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Degradation and reliability analysis of photovoltaic modules after operating for 12 years: A case study with comparisons

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  • Singh, Rashmi
  • Sharma, Madhu
  • Yadav, Kamlesh

Abstract

The long-term performance monitoring and characterization of field-exposed solar photovoltaic (PV) modules are essential for efficient power generation. This paper is an attempt at performance evaluation of the amorphous silicon (a-si), Heterojunction Intrinsic Thin layer (HIT), and Multi-Crystalline (mc-si) technologies after twelve years of outdoor exposure in the composite climate of India. Characterization techniques such as Visual Inspection, Infra-Red (IR) Thermography, Electroluminescence (EL) Imagining, and Electrical characterization have been carried out. I–V measurements, power losses, current degradation, and voltage degradation calculations are carried out. The percentage of electrical decline is 8.61%, 2.73%, and 29.08%, for Isc, Voc, and PMP respectively in a-si solar modules. For HIT modules 1.97%, 0.68%, and 0.48% for Isc, Voc, and VMP respectively. Finally, for the mc-si PV modules, these are 3.76%, 0.5%, and 1.44% for Isc, Voc, and PMP respectively over 12 years. The average degradation rates are found to be 1.24%/year, 0.14%/year, and 1.50%/year for a-si, HIT, and mc-si modules respectively. The EL imagining of the a-si modules shows the localized shunt over the surface of the modules as well as disconnected cell interconnects whereas no such defects are over the m-ci and HIT modules.

Suggested Citation

  • Singh, Rashmi & Sharma, Madhu & Yadav, Kamlesh, 2022. "Degradation and reliability analysis of photovoltaic modules after operating for 12 years: A case study with comparisons," Renewable Energy, Elsevier, vol. 196(C), pages 1170-1186.
    • Handle: RePEc:eee:renene:v:196:y:2022:i:c:p:1170-1186
    DOI: 10.1016/j.renene.2022.07.048
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    as
    1. Atsu, Divine & Seres, Istvan & Farkas, Istvan, 2021. "The state of solar PV and performance analysis of different PV technologies grid-connected installations in Hungary," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    2. Lim, Li Hong Idris & Ye, Zhen & Ye, Jiaying & Yang, Dazhi & Du, Hui, 2015. "A linear method to extract diode model parameters of solar panels from a single I–V curve," Renewable Energy, Elsevier, vol. 76(C), pages 135-142.
    3. Chanchangi, Yusuf N. & Ghosh, Aritra & Sundaram, Senthilarasu & Mallick, Tapas K., 2020. "Dust and PV Performance in Nigeria: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    4. Bouselham, Loubna & Rabhi, Abdelhamid & Hajji, Bekkay & Mellit, Adel, 2021. "Photovoltaic array reconfiguration method based on fuzzy logic and recursive least squares: An experimental validation," Energy, Elsevier, vol. 232(C).
    5. Sai Krishna, G. & Moger, Tukaram, 2021. "A novel adaptive dynamic photovoltaic reconfiguration system to mitigate mismatch effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    6. Carbajo, Ruth & Cabeza, Luisa F., 2022. "Researchers’ perspective within responsible implementation with socio-technical approaches. An example from solar energy research centre in Chile," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    7. Singh, Rashmi & Sharma, Madhu & Rawat, Rahul & Banerjee, Chandan, 2018. "An assessment of series resistance estimation techniques for different silicon based SPV modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 199-216.
    8. Muñoz, J.V. & Nofuentes, G. & Fuentes, M. & de la Casa, J. & Aguilera, J., 2016. "DC energy yield prediction in large monocrystalline and polycrystalline PV plants: Time-domain integration of Osterwald's model," Energy, Elsevier, vol. 114(C), pages 951-960.
    9. Atsu, Divine & Seres, Istvan & Aghaei, Mohammadreza & Farkas, Istvan, 2020. "Analysis of long-term performance and reliability of PV modules under tropical climatic conditions in sub-Saharan," Renewable Energy, Elsevier, vol. 162(C), pages 285-295.
    10. Zhang, Jingyi & Chang, Nathan & Fagerholm, Cara & Qiu, Ming & Shuai, Ling & Egan, Renate & Yuan, Chris, 2022. "Techno-economic and environmental sustainability of industrial-scale productions of perovskite solar cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    11. Silvestre, Santiago & Tahri, Ali & Tahri, Fatima & Benlebna, Soumiya & Chouder, Aissa, 2018. "Evaluation of the performance and degradation of crystalline silicon-based photovoltaic modules in the Saharan environment," Energy, Elsevier, vol. 152(C), pages 57-63.
    12. Balaska, Amira & Tahri, Ali & Tahri, Fatima & Stambouli, Amine Boudghene, 2017. "Performance assessment of five different photovoltaic module technologies under outdoor conditions in Algeria," Renewable Energy, Elsevier, vol. 107(C), pages 53-60.
    13. Aghaei, M. & Fairbrother, A. & Gok, A. & Ahmad, S. & Kazim, S. & Lobato, K. & Oreski, G. & Reinders, A. & Schmitz, J. & Theelen, M. & Yilmaz, P. & Kettle, J., 2022. "Review of degradation and failure phenomena in photovoltaic modules," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    14. Gaglia, Athina G. & Lykoudis, Spyros & Argiriou, Athanassios A. & Balaras, Constantinos A. & Dialynas, Evangelos, 2017. "Energy efficiency of PV panels under real outdoor conditions–An experimental assessment in Athens, Greece," Renewable Energy, Elsevier, vol. 101(C), pages 236-243.
    15. Singh, Rashmi & Sharma, Madhu & Rawat, Rahul & Banerjee, Chandan, 2020. "Field Analysis of three different silicon-based Technologies in Composite Climate Condition – Part II – Seasonal assessment and performance degradation rates using statistical tools," Renewable Energy, Elsevier, vol. 147(P1), pages 2102-2117.
    16. Tossa, Alain K. & Soro, Y.M. & Thiaw, L. & Azoumah, Y. & Sicot, Lionel & Yamegueu, D. & Lishou, Claude & Coulibaly, Y. & Razongles, Guillaume, 2016. "Energy performance of different silicon photovoltaic technologies under hot and harsh climate," Energy, Elsevier, vol. 103(C), pages 261-270.
    17. Elibol, Erdem & Özmen, Özge Tüzün & Tutkun, Nedim & Köysal, Oğuz, 2017. "Outdoor performance analysis of different PV panel types," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 651-661.
    18. Ustun, Taha Selim & Nakamura, Yasuhiro & Hashimoto, Jun & Otani, Kenji, 2019. "Performance analysis of PV panels based on different technologies after two years of outdoor exposure in Fukushima, Japan," Renewable Energy, Elsevier, vol. 136(C), pages 159-178.
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