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Reliability and Criticality Analysis of a Large-Scale Solar Photovoltaic System Using Fault Tree Analysis Approach

Author

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  • Pramod R. Sonawane

    (Department of Electronics and Telecommunication Engineering, Pimpri Chinchwad College of Engineering, Pune 411044, India)

  • Sheetal Bhandari

    (Department of Electronics and Telecommunication Engineering, Pimpri Chinchwad College of Engineering, Pune 411044, India)

  • Rajkumar Bhimgonda Patil

    (Department of Mechanical Engineering, Pimpri Chinchwad College of Engineering, Pune 411044, India)

  • Sameer Al-Dahidi

    (Department of Mechanical and Maintenance Engineering, School of Applied Technical Sciences, German Jordanian University, Amman 11180, Jordan)

Abstract

Solar Photovoltaic (PV) systems typically convert solar irradiance into electricity, thereby helping to reduce the need for fossil fuels and the amount of greenhouse gases released. They provide a reliable and continuous renewable source of energy. However, PV systems are continuously exposed to diverse and changing environmental conditions, such as temperature, humidity, dust, and rain. Exposure to such conditions creates electrical and visible faults in the PV systems. These faults may reduce the PV system’s performance, reliability, and lifetime. In this regard, this paper aims to propose a framework/methodology for reliability modeling and assessment of large-scale grid-connected PV systems using a Fault Tree Analysis (FTA) approach. Specifically, an exhaustive literature survey is carried out to acquire the failure rates of different components/faults existing on the DC side of the PV system. Then, the Fussel-Vesely (F-V) importance measure is employed to identify critical faults and their criticality ranking. Results showed that solder bond failure, broken cell, broken interconnect (finger interruption), rack structure, grounding/lightning protection system, delamination, discoloration, and partial shading are the most critical faults which severely degrade the performance of the PV systems. The recommendations and scope for further study are provided to optimize operations and maintenance costs.

Suggested Citation

  • Pramod R. Sonawane & Sheetal Bhandari & Rajkumar Bhimgonda Patil & Sameer Al-Dahidi, 2023. "Reliability and Criticality Analysis of a Large-Scale Solar Photovoltaic System Using Fault Tree Analysis Approach," Sustainability, MDPI, vol. 15(5), pages 1-24, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4609-:d:1087842
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    References listed on IDEAS

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    1. A. Sayed & M. El-Shimy & M. El-Metwally & M. Elshahed, 2019. "Reliability, Availability and Maintainability Analysis for Grid-Connected Solar Photovoltaic Systems," Energies, MDPI, vol. 12(7), pages 1-18, March.
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    Cited by:

    1. Motahareh Sagharidooz & Hamzeh Soltanali & José Torres Farinha & Hugo D. N. Raposo & José Edmundo de-Almeida-e-Pais, 2024. "Reliability, Availability, and Maintainability Assessment-Based Sustainability-Informed Maintenance Optimization in Power Transmission Networks," Sustainability, MDPI, vol. 16(15), pages 1-22, July.
    2. Xiaogang Pan & Kangli Liu & Jianhua Wang & Yutao Hu & Jianfeng Zhao, 2023. "Capacity Allocation Method Based on Historical Data-Driven Search Algorithm for Integrated PV and Energy Storage Charging Station," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    3. Rajkumar Bhimgonda Patil & Arun Khalkar & Sameer Al-Dahidi & Rita S. Pimpalkar & Sheetal Bhandari & Michael Pecht, 2024. "A Reliability and Risk Assessment of Solar Photovoltaic Panels Using a Failure Mode and Effects Analysis Approach: A Case Study," Sustainability, MDPI, vol. 16(10), pages 1-27, May.
    4. Abdulla, Hind & Sleptchenko, Andrei & Nayfeh, Ammar, 2024. "Photovoltaic systems operation and maintenance: A review and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 195(C).

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