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Impact of liquefaction ratio and cold energy recovery on liquefied natural gas production

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  • Han, Donggu
  • Tak, Kyungjae
  • Park, Jaedeuk
  • Lee, Ki Bong
  • Moon, Jong-Ho
  • Lee, Ung

Abstract

The partial liquefaction of natural gas (NG) is commonly conducted in the liquefied natural gas (LNG) industry toward facilitating the use of non-liquefied gas for power generation and utility systems, while simultaneously achieving the desired heating value of LNG. This study investigated the impact of the partial liquefaction of NG and the recovery of cold energy from non-liquefied gas on the efficiency of the liquefaction process, in terms of specific work. The optimal liquefaction ratio (LR) with no recovery was 64.2% (778.7 kJ/kg LNG), which is 21.7% reduction of specific work in relation to that achieved through full liquefaction (995.0 kJ/kg LNG). The result showed a trade-off relationship between a higher LR to compensate energy consumption for cooling NG to its dew-point temperature with no liquid production and produce flash gas at a cryogenic temperature and lower LR to avoid the liquefaction of light components, which are difficult to condense. However, this trade-off resolved upon cold energy recovery, because there was no energy consumption until an LR of 8.1% could be achieved through an expansion of high-pressure NG feed by the recovery. For practical reason, a case study was conducted with lower bounds of the LR at 85%, 90%, and 95%. The findings of this study can guide the decision-making of future LNG projects for an optimal LR.

Suggested Citation

  • Han, Donggu & Tak, Kyungjae & Park, Jaedeuk & Lee, Ki Bong & Moon, Jong-Ho & Lee, Ung, 2023. "Impact of liquefaction ratio and cold energy recovery on liquefied natural gas production," Applied Energy, Elsevier, vol. 352(C).
    • Handle: RePEc:eee:appene:v:352:y:2023:i:c:s0306261923013296
    DOI: 10.1016/j.apenergy.2023.121965
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    References listed on IDEAS

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    1. Zhang, Qiang & Zhang, Ningqi & Zhu, Shengbo & Heydarian, Dariush, 2023. "Thermodynamic simulation and optimization of natural gas liquefaction cycle based on the common structure of organic rankine cycle," Energy, Elsevier, vol. 264(C).
    2. Karasu, Seçkin & Altan, Aytaç & Bekiros, Stelios & Ahmad, Wasim, 2020. "A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series," Energy, Elsevier, vol. 212(C).
    3. He, Tianbiao & Mao, Ning & Liu, Zuming & Qyyum, Muhammad Abdul & Lee, Moonyong & Pravez, Ashak Mahmud, 2020. "Impact of mixed refrigerant selection on energy and exergy performance of natural gas liquefaction processes," Energy, Elsevier, vol. 199(C).
    4. Santos, Lucas F. & Costa, Caliane B.B. & Caballero, José A. & Ravagnani, Mauro A.S.S., 2023. "Multi-objective simulation–optimization via kriging surrogate models applied to natural gas liquefaction process design," Energy, Elsevier, vol. 262(PB).
    5. Khan, Mohd Shariq & Lee, Sanggyu & Rangaiah, G.P. & Lee, Moonyong, 2013. "Knowledge based decision making method for the selection of mixed refrigerant systems for energy efficient LNG processes," Applied Energy, Elsevier, vol. 111(C), pages 1018-1031.
    6. Lee, Ung & Mitsos, Alexander, 2017. "Optimal multicomponent working fluid of organic Rankine cycle for exergy transfer from liquefied natural gas regasification," Energy, Elsevier, vol. 127(C), pages 489-501.
    7. Katebah, Mary A. & Hussein, Mohamed M. & Al-musleh, Easa I. & Almomani, Fares, 2023. "A systematic optimization approach of an actual LNG plant: Power savings and enhanced process economy," Energy, Elsevier, vol. 269(C).
    8. Tak, Kyungjae & Park, Jaedeuk & Moon, Il & Lee, Ung, 2023. "Comparison of mixed refrigerant cycles for natural gas liquefaction: From single mixed refrigerant to mixed fluid cascade processes," Energy, Elsevier, vol. 272(C).
    9. 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).
    10. Almeida-Trasvina, Fernando & Smith, Robin, 2023. "Design and optimisation of novel cascade mixed refrigerant cycles for LNG production – Part II: Novel cascade configurations," Energy, Elsevier, vol. 266(C).
    11. Marmolejo-Correa, Danahe & Gundersen, Truls, 2012. "A comparison of exergy efficiency definitions with focus on low temperature processes," Energy, Elsevier, vol. 44(1), pages 477-489.
    12. Tak, Kyungjae & Choi, Jiwon & Ryu, Jun-Hyung & Moon, Il, 2020. "Sensitivity analysis of effects of design parameters and decision variables on optimization of natural gas liquefaction process," Energy, Elsevier, vol. 206(C).
    Full references (including those not matched with items on IDEAS)

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