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Analysis of Failure Modes Effect and Criticality Analysis (FMECA): A Stand-Alone Photovoltaic System

Received: 24 February 2017     Accepted: 8 March 2017     Published: 27 March 2017
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Abstract

This study deals with the implementation of a methodological guide for the maintenance of photovoltaic systems in Senegal. Typical PV systems components are photovoltaic panels, and inverter, a regulator, connecting cables and the battery; so Failure Modes Effect and Criticality Analysis (FMECA) is performed on the PV system in order to increase the reliability and reduce system failures. To do that, a functional analysis of the system through an octopus diagram and a dysfunctional analysis through a fault tree, are used as a decision support for the choice of the coefficients to obtain the full system FMEA. The obtained results allowed us to detect about 40% of the types of failure that cause over 60% of system malfunction. Anticipating these types of failure through preventive maintenance would make the PV system more reliable.

Published in Science Journal of Energy Engineering (Volume 5, Issue 2)
DOI 10.11648/j.sjee.20170502.11
Page(s) 40-47
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

FMECA, Photovoltaic Systems, Maintenance

References
[1] Monchy, François, Vernier Maintenance: Méthodes et organisations Ed. 3, Dunod 2010 page 140-141.
[2] M. V´azquez, C. Algora, I. Rey-Stolle et J. Gonza´lez. “III-V concentrator solar cell reliability prediction based on quantitative LED reliability data”. Progress in Photovoltaics: Research and Applications, Vol. 15, No. 6, pp. 477–491, 2007.
[3] Lyonnet, Patrick, Fiabilité industrielle: La boîte à outils des processus de fiabilité et maintenance AFNOR 2016.
[4] A. Labouret et M. Villoz. “Energie solaire photovoltaïque”. 4e Ed., 2009.
[5] Heng, Jean, Pratique de la maintenance preventive, Dunod 2011 page 17.
[6] H. Liao et E. Elsayed. “Reliability prediction and testing plan based on an accelerated degradation rate model”. International Journal of Materials and Product Technology, Vol. 21, No. 5, pp. 402–422, 2004.
[7] Antonio Luque, Steven Hegedus, “Handbook of Photovoltaic Science and Engineering”, 2003.
[8] Gillet-Goinard, Florence, Monar, Christel, “Toute la fonction QSSE (Qualité/Santé/Sécurité/ Environnement): Savoir/ Savoir-faire/ Savoir être”, Dunod 2013.
[9] Landy, Gérard, “AMDEC: Guide pratique”, AFNOR 2011.
[10] Rémi LARONDE, Thèse de Doctorat: Fiabilité et durabilité d’un système complexe dédié aux énergies renouvelables Application à un système photovoltaïque.
[11] Labib, Ashraf, “Learning from Failures: Decision Analysis of Major Disasters”, Elsevier Science, 2014.
Cite This Article
  • APA Style

    Omar Ngala Sarr, Fabe Idrissa Barro, Oumar Absatou Niasse, Fatou Dia, Nacir Mbengue, et al. (2017). Analysis of Failure Modes Effect and Criticality Analysis (FMECA): A Stand-Alone Photovoltaic System. Science Journal of Energy Engineering, 5(2), 40-47. https://doi.org/10.11648/j.sjee.20170502.11

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    ACS Style

    Omar Ngala Sarr; Fabe Idrissa Barro; Oumar Absatou Niasse; Fatou Dia; Nacir Mbengue, et al. Analysis of Failure Modes Effect and Criticality Analysis (FMECA): A Stand-Alone Photovoltaic System. Sci. J. Energy Eng. 2017, 5(2), 40-47. doi: 10.11648/j.sjee.20170502.11

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    AMA Style

    Omar Ngala Sarr, Fabe Idrissa Barro, Oumar Absatou Niasse, Fatou Dia, Nacir Mbengue, et al. Analysis of Failure Modes Effect and Criticality Analysis (FMECA): A Stand-Alone Photovoltaic System. Sci J Energy Eng. 2017;5(2):40-47. doi: 10.11648/j.sjee.20170502.11

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  • @article{10.11648/j.sjee.20170502.11,
      author = {Omar Ngala Sarr and Fabe Idrissa Barro and Oumar Absatou Niasse and Fatou Dia and Nacir Mbengue and Bassirou Ba and Cheikh Sene},
      title = {Analysis of Failure Modes Effect and Criticality Analysis (FMECA): A Stand-Alone Photovoltaic System},
      journal = {Science Journal of Energy Engineering},
      volume = {5},
      number = {2},
      pages = {40-47},
      doi = {10.11648/j.sjee.20170502.11},
      url = {https://doi.org/10.11648/j.sjee.20170502.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20170502.11},
      abstract = {This study deals with the implementation of a methodological guide for the maintenance of photovoltaic systems in Senegal. Typical PV systems components are photovoltaic panels, and inverter, a regulator, connecting cables and the battery; so Failure Modes Effect and Criticality Analysis (FMECA) is performed on the PV system in order to increase the reliability and reduce system failures. To do that, a functional analysis of the system through an octopus diagram and a dysfunctional analysis through a fault tree, are used as a decision support for the choice of the coefficients to obtain the full system FMEA. The obtained results allowed us to detect about 40% of the types of failure that cause over 60% of system malfunction. Anticipating these types of failure through preventive maintenance would make the PV system more reliable.},
     year = {2017}
    }
    

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    AU  - Fabe Idrissa Barro
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    AU  - Fatou Dia
    AU  - Nacir Mbengue
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    AU  - Cheikh Sene
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    T2  - Science Journal of Energy Engineering
    JF  - Science Journal of Energy Engineering
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    AB  - This study deals with the implementation of a methodological guide for the maintenance of photovoltaic systems in Senegal. Typical PV systems components are photovoltaic panels, and inverter, a regulator, connecting cables and the battery; so Failure Modes Effect and Criticality Analysis (FMECA) is performed on the PV system in order to increase the reliability and reduce system failures. To do that, a functional analysis of the system through an octopus diagram and a dysfunctional analysis through a fault tree, are used as a decision support for the choice of the coefficients to obtain the full system FMEA. The obtained results allowed us to detect about 40% of the types of failure that cause over 60% of system malfunction. Anticipating these types of failure through preventive maintenance would make the PV system more reliable.
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Author Information
  • Department of Physics, Faculty of Science and Technology, Semiconductors and Solar Energy Laboratory - Cheikh Anta Diop University, Dakar, Senegal

  • Department of Physics, Faculty of Science and Technology, Semiconductors and Solar Energy Laboratory - Cheikh Anta Diop University, Dakar, Senegal

  • Department of Physics, Faculty of Science and Technology, Semiconductors and Solar Energy Laboratory - Cheikh Anta Diop University, Dakar, Senegal

  • Department of Physics, Faculty of Science and Technology, Semiconductors and Solar Energy Laboratory - Cheikh Anta Diop University, Dakar, Senegal

  • Department of Physics, Faculty of Science and Technology, Semiconductors and Solar Energy Laboratory - Cheikh Anta Diop University, Dakar, Senegal

  • Department of Physics, Faculty of Science and Technology, Semiconductors and Solar Energy Laboratory - Cheikh Anta Diop University, Dakar, Senegal

  • Department of Physics, Faculty of Science and Technology, Semiconductors and Solar Energy Laboratory - Cheikh Anta Diop University, Dakar, Senegal

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