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Performance analysis of a boil-off gas re-liquefaction process for LNG carriers

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  • Jin, Chunhe
  • Lim, Youngsub
  • Xu, Xin

Abstract

With the growth of LNG demand and rapid rise in natural gas prices, it is of great significance to develop an efficient boil-off gas (BOG) re-liquefaction process for LNG carriers. This paper proposes a BOG re-liquefaction process using the single mixed refrigerant (SMR) cycle, and comprehensively compares it with the typical Mark III process. The processes were rigorously simulated with Aspen HYSYS, and performed process optimization in terms of specific energy consumption (SEC) as the objective function using the genetic algorithm method. Sensitivity and exergy analysis were also conducted to assess process variables and irreversibility. Furthermore, the processes were performed economic analysis including the total capital cost (TCC), total operating cost and total annualized cost (TAC). The results show that the SEC and major equipment exergy loss of the proposed process have 529.4 kWh/ton and 465 kW, which are 50.34% and 40.88% lower than the Mark III process. Additionally, the TAC for proposed process presents 4.07 million USD/year, compared to 6.62 million USD/year for the Mark III, resulting in a 38.55% annual savings.

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  • Jin, Chunhe & Lim, Youngsub & Xu, Xin, 2023. "Performance analysis of a boil-off gas re-liquefaction process for LNG carriers," Energy, Elsevier, vol. 278(C).
    • Handle: RePEc:eee:energy:v:278:y:2023:i:c:s0360544223012173
    DOI: 10.1016/j.energy.2023.127823
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    References listed on IDEAS

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    1. Cao, Xuewen & Yang, Jian & Zhang, Yue & Gao, Song & Bian, Jiang, 2022. "Process optimization, exergy and economic analysis of boil-off gas re-liquefaction processes for LNG carriers," Energy, Elsevier, vol. 242(C).
    2. Bian, Jiang & Yang, Jian & Liu, Yang & Li, Yuxing & Cao, Xuewen, 2022. "Analysis and efficiency enhancement for energy-saving re-liquefaction processes of boil-off gas without external refrigeration cycle on LNG carriers," Energy, Elsevier, vol. 239(PB).
    3. Yin, Liang & Ju, Yonglin, 2020. "Conceptual design and analysis of a novel process for BOG re-liquefaction combined with absorption refrigeration cycle," Energy, Elsevier, vol. 205(C).
    4. Kim, Donghoi & Hwang, Chulmin & Gundersen, Truls & Lim, Youngsub, 2019. "Process design and economic optimization of boil-off-gas re-liquefaction systems for LNG carriers," Energy, Elsevier, vol. 173(C), pages 1119-1129.
    5. Jin, Chunhe & Yuan, Yilong & Son, Heechang & Lim, Youngsub, 2022. "Novel propane-free mixed refrigerant integrated with nitrogen expansion natural gas liquefaction process for offshore units," Energy, Elsevier, vol. 238(PA).
    6. 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.
    7. Kochunni, Sarun Kumar & Chowdhury, Kanchan, 2020. "Use of dual pressure Claude liquefaction cycles for complete and energy-efficient reliquefaction of boil-off gas in LNG carrier ships," Energy, Elsevier, vol. 198(C).
    8. Kochunni, Sarun Kumar & Joy, Jubil & Chowdhury, Kanchan, 2019. "LNG boil-off gas reliquefaction by Brayton refrigeration system – Part 2: Improvements over basic configuration," Energy, Elsevier, vol. 176(C), pages 861-873.
    9. Son, Hyunsoo & Kim, Jin-Kuk, 2020. "Energy-efficient process design and optimization of dual-expansion systems for BOG (Boil-off gas) Re-liquefaction process in LNG-fueled ship," Energy, Elsevier, vol. 203(C).
    10. Wang, Xucen & Li, Min & Cai, Liuxi & Li, Yun, 2020. "Propane and iso-butane pre-cooled mixed refrigerant liquefaction process for small-scale skid-mounted natural gas liquefaction," Applied Energy, Elsevier, vol. 275(C).
    11. 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).
    12. Mofid, Hossein & Jazayeri-Rad, Hooshang & Shahbazian, Mehdi & Fetanat, Abdolvahhab, 2019. "Enhancing the performance of a parallel nitrogen expansion liquefaction process (NELP) using the multi-objective particle swarm optimization (MOPSO) algorithm," Energy, Elsevier, vol. 172(C), pages 286-303.
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