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Sensitivity analysis of effects of design parameters and decision variables on optimization of natural gas liquefaction process

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  • Tak, Kyungjae
  • Choi, Jiwon
  • Ryu, Jun-Hyung
  • Moon, Il

Abstract

Liquefied natural gas (LNG) plants require large amounts of energy to liquefy natural gas (NG). Therefore, many optimization studies have been conducted to minimize this energy consumption. Such studies have usually focused on optimization approaches to overcome the high nonlinearity of NG liquefaction process models. By contrast, decision variables and design bases have barely been investigated.

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  • 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).
    • Handle: RePEc:eee:energy:v:206:y:2020:i:c:s0360544220312391
    DOI: 10.1016/j.energy.2020.118132
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    References listed on IDEAS

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    1. 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).
    2. Wang, Chenghong & Shen, Qie & Zhang, Jie & Qiao, Xin & Yu, Hongyuan & Shen, Keyi & Sun, Daming, 2023. "Study on a coalbed methane liquefaction system based on thermoacoustic refrigeration method," Energy, Elsevier, vol. 262(PB).

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