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Failure mode and effect analysis for photovoltaic systems

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  • Colli, Alessandra

Abstract

Failure mode and effect analysis (FMEA) is an inductive and conservative system reliability analysis approach, here applied to photovoltaic system. A system is a complex combination of components and sub-components, where technical and disciplinary interfaces apply in their mutual interactions. FMEA processes the individual analysis of each system׳s sub-component with the task to identify the various failure modes affecting each part, along with causes and consequences for the part itself and the entire system. In the proposed analysis the system׳s component and sub-components have been identified from the design of the Northeast Solar Energy Research Center (NSERC) photovoltaic research array located at Brookhaven National Laboratory׳s (BNL). The complete FMEA analysis is presented, along with the applied ranking scales and final results. The approach is discussed in its benefits and limitations, the latter mainly identified in the limited amount of open source information concerning failure probabilities for the photovoltaic system parts.

Suggested Citation

  • Colli, Alessandra, 2015. "Failure mode and effect analysis for photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 804-809.
    • Handle: RePEc:eee:rensus:v:50:y:2015:i:c:p:804-809
    DOI: 10.1016/j.rser.2015.05.056
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    8. 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.
    9. Nguyen, Hai Tra & Safder, Usman & Nhu Nguyen, X.Q. & Yoo, ChangKyoo, 2020. "Multi-objective decision-making and optimal sizing of a hybrid renewable energy system to meet the dynamic energy demands of a wastewater treatment plant," Energy, Elsevier, vol. 191(C).
    10. Lisa B. Bosman & Walter D. Leon-Salas & William Hutzel & Esteban A. Soto, 2020. "PV System Predictive Maintenance: Challenges, Current Approaches, and Opportunities," Energies, MDPI, vol. 13(6), pages 1-16, March.
    11. Stefan Baschel & Elena Koubli & Jyotirmoy Roy & Ralph Gottschalg, 2018. "Impact of Component Reliability on Large Scale Photovoltaic Systems’ Performance," Energies, MDPI, vol. 11(6), pages 1-16, June.
    12. Andrés A. Zúñiga & Alexandre Baleia & João Fernandes & Paulo Jose Da Costa Branco, 2020. "Classical Failure Modes and Effects Analysis in the Context of Smart Grid Cyber-Physical Systems," Energies, MDPI, vol. 13(5), pages 1-26, March.
    13. Chiacchio, Ferdinando & D’Urso, Diego & Famoso, Fabio & Brusca, Sebastian & Aizpurua, Jose Ignacio & Catterson, Victoria M., 2018. "On the use of dynamic reliability for an accurate modelling of renewable power plants," Energy, Elsevier, vol. 151(C), pages 605-621.
    14. Masoud Ahmadipour & Hashim Hizam & Mohammad Lutfi Othman & Mohd Amran Mohd Radzi & Nikta Chireh, 2019. "A Fast Fault Identification in a Grid-Connected Photovoltaic System Using Wavelet Multi-Resolution Singular Spectrum Entropy and Support Vector Machine," Energies, MDPI, vol. 12(13), pages 1-18, June.
    15. Ferdinando Chiacchio & Fabio Famoso & Diego D’Urso & Sebastian Brusca & Jose Ignacio Aizpurua & Luca Cedola, 2018. "Dynamic Performance Evaluation of Photovoltaic Power Plant by Stochastic Hybrid Fault Tree Automaton Model," Energies, MDPI, vol. 11(2), pages 1-22, January.
    16. Nain, Preeti & Kumar, Arun, 2020. "Understanding the possibility of material release from end-of-life solar modules: A study based on literature review and survey analysis," Renewable Energy, Elsevier, vol. 160(C), pages 903-918.
    17. Thanh-Lam Nguyen & Ming-Hung Shu & Bi-Min Hsu, 2016. "Extended FMEA for Sustainable Manufacturing: An Empirical Study in the Non-Woven Fabrics Industry," Sustainability, MDPI, vol. 8(9), pages 1-14, September.
    18. Gallardo-Saavedra, Sara & Hernández-Callejo, Luis & Duque-Pérez, Oscar, 2019. "Quantitative failure rates and modes analysis in photovoltaic plants," Energy, Elsevier, vol. 183(C), pages 825-836.
    19. 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.
    20. Sayed, A. & EL-Shimy, M. & El-Metwally, M. & Elshahed, M., 2020. "Impact of subsystems on the overall system availability for the large scale grid-connected photovoltaic systems," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    21. 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.
    22. Nelson, James & Johnson, Nathan G. & Fahy, Kelsey & Hansen, Timothy A., 2020. "Statistical development of microgrid resilience during islanding operations," Applied Energy, Elsevier, vol. 279(C).
    23. Kayser, Dirk, 2016. "Solar photovoltaic projects in China: High investment risks and the need for institutional response," Applied Energy, Elsevier, vol. 174(C), pages 144-152.
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