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Optimization of a novel liquefaction process based on Joule–Thomson cycle utilizing high-pressure natural gas exergy by genetic algorithm

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  • Guo, Hao
  • Tang, Qixiong
  • Gong, Maoqiong
  • Cheng, Kuiwei

Abstract

A novel liquefaction process based on Joule–Thomson cycle utilizing high-pressure natural gas exergy is specifically proposed and presented in this paper. Thermodynamic and economic optimization of the novel process are performed with the genetic algorithm (GA) in Microsoft Excel VBA connecting Aspen HYSYS. Five different objective functions are selected: minimization of specific energy consumption (SEC), total cost investment (TCI), specific operation cost (SOPEX), total annualized cost (TAC) and maximization of exergy efficiency. The specific energy consumption objective function is equivalent to exergy efficiency, SOPEX, TAC objective functions. Compared to TCI objective function, the other four objective functions can result in an about 49% reduction of SEC, an about 99% increase of exergy efficiency, an about 2% reduction of SOPEX and an about 2.8% reduction of TAC, but an about 95% increase of TCI. The results show that any of SEC, exergy efficiency, SOPEX and TCI objective functions is more suitable for the optimization of this process. Finally, the exergy analysis of each component is given. It can be found that compressors and water coolers produce the highest exergy losses for the equivalent objective functions.

Suggested Citation

  • Guo, Hao & Tang, Qixiong & Gong, Maoqiong & Cheng, Kuiwei, 2018. "Optimization of a novel liquefaction process based on Joule–Thomson cycle utilizing high-pressure natural gas exergy by genetic algorithm," Energy, Elsevier, vol. 151(C), pages 696-706.
    • Handle: RePEc:eee:energy:v:151:y:2018:i:c:p:696-706
    DOI: 10.1016/j.energy.2018.02.148
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    1. Li, Chenghao & Zheng, Siyang & Chen, Yufeng & Zeng, Zhiyong, 2021. "Proposal and parametric analysis of an innovative natural gas pressure reduction and liquefaction system for efficient exergy recovery and LNG storage," Energy, Elsevier, vol. 223(C).
    2. 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).
    3. Wu, Shiguang & Zhao, Bangjian & Tan, Jun & Zhao, Yongjiang & Zhai, Yujia & Xue, Renjun & Tan, Han & Ma, Dong & Wu, Dirui & Dang, Haizheng, 2023. "Thermodynamic study on throttling process of Joule-Thomson cooler to improve helium liquefaction performance between 2 K and 4 K," Energy, Elsevier, vol. 277(C).
    4. Dara, Satyadileep & Abdulqader, Haytham & Al Wahedi, Yasser & Berrouk, Abdallah S., 2020. "Countrywide optimization of natural gas supply chain: From wells to consumers," Energy, Elsevier, vol. 196(C).
    5. 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).

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