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Reliability assessment of reliquefaction systems on LNG carriers

Author

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  • Kwang Pil, Chang
  • Rausand, Marvin
  • Vatn, Jørn

Abstract

The paper gives an introduction to reliability assessment of reliquefaction systems for boil-off gas (BOG) on LNG carriers with focus on redundancy optimization and maintenance strategies. The reliability modeling is based on a time-dependent Markov approach. Four different system options are studied, with varying degree of redundancy. Failures in the reliquefaction system may require flaring of the BOG, and the associated cost is compared with the cost of introducing redundancy and the cost of onboard maintenance. A model for maintenance optimization is developed and exemplified on a main unit of the reliquefaction system. Reliability and maintenance cost data for reliquefaction systems on LNG ships are very scarce. The input data have been collected from the best available data sources and adjusted by expert judgement. A tailor-made computer program has been developed and may be supplied to interested readers.

Suggested Citation

  • Kwang Pil, Chang & Rausand, Marvin & Vatn, Jørn, 2008. "Reliability assessment of reliquefaction systems on LNG carriers," Reliability Engineering and System Safety, Elsevier, vol. 93(9), pages 1345-1353.
    • Handle: RePEc:eee:reensy:v:93:y:2008:i:9:p:1345-1353
    DOI: 10.1016/j.ress.2006.11.005
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    Citations

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    Cited by:

    1. Zafar Hameed & Jørn Vatn, 2012. "Role of grouping in the development of an overall maintenance optimization framework for offshore wind turbines," Journal of Risk and Reliability, , vol. 226(6), pages 584-601, December.
    2. Yin, Liang & Ju, Yonglin, 2020. "Design and analysis of a process for directly Re-liquefying BOG using subcooled LNG for LNG carrier," Energy, Elsevier, vol. 199(C).
    3. Laggoune, Radouane & Chateauneuf, Alaa & Aissani, Djamil, 2010. "Impact of few failure data on the opportunistic replacement policy for multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 95(2), pages 108-119.
    4. Yin, L. & Ju, Y.L., 2019. "Comparison and analysis of two nitrogen expansion cycles for BOG Re-liquefaction systems for small LNG ships," Energy, Elsevier, vol. 172(C), pages 769-776.
    5. Simeu-Abazi, Zineb & Di Mascolo, Maria & Knotek, Michal, 2010. "Fault diagnosis for discrete event systems: Modelling and verification," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 369-378.
    6. Syauqi, Ahmad & Uwitonze, Hosanna & Chaniago, Yus Donald & Lim, Hankwon, 2024. "Design and optimization of an onboard boil-off gas re-liquefaction process under different weather-related scenarios with machine learning predictions," Energy, Elsevier, vol. 293(C).
    7. Querol, E. & Gonzalez-Regueral, B. & García-Torrent, J. & García-Martínez, M.J., 2010. "Boil off gas (BOG) management in Spanish liquid natural gas (LNG) terminals," Applied Energy, Elsevier, vol. 87(11), pages 3384-3392, November.
    8. Vatn, Jørn & Aven, Terje, 2010. "An approach to maintenance optimization where safety issues are important," Reliability Engineering and System Safety, Elsevier, vol. 95(1), pages 58-63.
    9. Yin, Liang & Ju, Yonglin, 2022. "Review on the design and optimization of BOG re-liquefaction process in LNG ship," Energy, Elsevier, vol. 244(PB).
    10. Cui, Yiqian & Shi, Junyou & Wang, Zili, 2015. "An analytical model of electronic fault diagnosis on extension of the dependency theory," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 192-202.

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