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Integrating reliability, availability, maintainability and supportability with risk analysis for improved operation of the Afam thermal power-station

Author

Listed:
  • Eti, M.C.
  • Ogaji, S.O.T.
  • Probert, S.D.

Abstract

The ability to improve continually is desirable. In recent years, the reliabilities of power plants have become increasingly important issues in most developed and developing countries. Reliability, availability, maintainability and supportability (RAMS), as well as risk analysis, have become big issues in the power industries. Major causes of customer dissatisfaction often result from unexpected failures, which have led to unanticipated costs in the Afam thermal power-station. However, with proper integration of RAMS and risk analysis in each maintenance process in the Afam thermal power-station, the frequency of failures can be reduced and their consequences diminished. Taking experiences from the developed world, an approach for the integration of RAMS and risk analysis can be developed as a guide in maintenance policies for the Afam thermal power station. This paper discusses the applications of failure mode effect analysis, failure mode effect and criticality analysis, feedback information, supportive systems and risk analysis, in order to reduce the frequency of failures and maintenance costs.

Suggested Citation

  • Eti, M.C. & Ogaji, S.O.T. & Probert, S.D., 2007. "Integrating reliability, availability, maintainability and supportability with risk analysis for improved operation of the Afam thermal power-station," Applied Energy, Elsevier, vol. 84(2), pages 202-221, February.
    • Handle: RePEc:eee:appene:v:84:y:2007:i:2:p:202-221
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    Citations

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    Cited by:

    1. Carazas, F.G. & Souza, G.F.M., 2010. "Risk-based decision making method for maintenance policy selection of thermal power plant equipment," Energy, Elsevier, vol. 35(2), pages 964-975.
    2. Wu, Jingyi & Yu, Yang & Yu, Jianxing & Chang, Xueying & Xu, Lixin & Zhang, Wenhao, 2023. "A Markov resilience assessment framework for tension leg platform under mooring failure," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    3. Nikula, Riku-Pekka & Ruusunen, Mika & Leiviskä, Kauko, 2016. "Data-driven framework for boiler performance monitoring," Applied Energy, Elsevier, vol. 183(C), pages 1374-1388.
    4. Luo, Xianglong & Zhang, Bingjian & Chen, Ying & Mo, Songping, 2013. "Operational planning optimization of steam power plants considering equipment failure in petrochemical complex," Applied Energy, Elsevier, vol. 112(C), pages 1247-1264.
    5. Khoshgoftar Manesh, M.H. & Mehrabian, M.J. & Nourpour, M. & Onishi, V.C., 2023. "Risk and 4E analyses and optimization of a novel solar-natural gas-driven polygeneration system based on Integration of Gas Turbine–SCO2–ORC-solar PV-PEM electrolyzer," Energy, Elsevier, vol. 263(PD).
    6. Yuyama, Ayumi & Kajitani, Yoshio & Shoji, Gaku, 2018. "Simulation of operational reliability of thermal power plants during a power crisis: Are we underestimating power shortage risk?," Applied Energy, Elsevier, vol. 231(C), pages 901-913.
    7. Carazas, F.J.G. & Salazar, C.H. & Souza, G.F.M., 2011. "Availability analysis of heat recovery steam generators used in thermal power plants," Energy, Elsevier, vol. 36(6), pages 3855-3870.

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