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Experimental evaluation of the performance and degradation of single crystalline silicon photovoltaic modules in the Saharan environment

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  • Bouraiou, Ahmed
  • Hamouda, Messaoud
  • Chaker, Abdelkader
  • Lachtar, Salah
  • Neçaibia, Ammar
  • Boutasseta, Nadir
  • Mostefaoui, Mohammed

Abstract

This paper gives an experimental investigation of the effect of climatic conditions on the performance and degradation of crystalline silicon photovoltaic modules under Saharan environment in Adrar region in the south of Algeria. The first part of this study is focused on the analysis and assessment of UDTS 50 PV modules degradation after a long term outdoor exposure to these conditions (more than 12 years). The visual inspection of 62 PV modules has allowed to observe and determine the degradation modes such as, EVA discoloration, delamination, busbar corrosion, cracking of solar cell, glass breakage, AR coating and solder bond. The degradation evaluation of three modules with different defects was also performed, using (I-V/P-V) characteristics and the degradation rates of the parameters (Pmax, Imp, Vmp, Isc, Voc, FF) at Standard test conditions (STC) in order to compare with the nominal data delivered by the manufacturer of photovoltaic panels. Finally, the combination of the partial shading effect and the presence of EVA browning defect was examined to assess the changes in I-V and P-V curves caused by the drop in electrical parameters.

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  • Bouraiou, Ahmed & Hamouda, Messaoud & Chaker, Abdelkader & Lachtar, Salah & Neçaibia, Ammar & Boutasseta, Nadir & Mostefaoui, Mohammed, 2017. "Experimental evaluation of the performance and degradation of single crystalline silicon photovoltaic modules in the Saharan environment," Energy, Elsevier, vol. 132(C), pages 22-30.
    • Handle: RePEc:eee:energy:v:132:y:2017:i:c:p:22-30
    DOI: 10.1016/j.energy.2017.05.056
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    4. 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.
    5. Alaaeddin, M.H. & Sapuan, S.M. & Zuhri, M.Y.M. & Zainudin, E.S. & AL- Oqla, Faris M., 2019. "Photovoltaic applications: Status and manufacturing prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 318-332.
    6. Sridharan Naveen Venkatesh & Vaithiyanathan Sugumaran, 2022. "A combined approach of convolutional neural networks and machine learning for visual fault classification in photovoltaic modules," Journal of Risk and Reliability, , vol. 236(1), pages 148-159, February.
    7. Mahesh Vinayak Hadole & Kamlesh Narayan Tiwari & Prabodh Bajpai, 2021. "Energy generation and flow rate prediction of photovoltaic water pumping system for irrigation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 6722-6733, May.
    8. Ding, Kun & Chen, Xiang & Weng, Shuai & Liu, Yongjie & Zhang, Jingwei & Li, Yuanliang & Yang, Zenan, 2023. "Health status evaluation of photovoltaic array based on deep belief network and Hausdorff distance," Energy, Elsevier, vol. 262(PB).
    9. Peinado Gonzalo, Alfredo & Pliego Marugán, Alberto & García Márquez, Fausto Pedro, 2020. "Survey of maintenance management for photovoltaic power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
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