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The correlation between mixed refrigerant composition and ambient conditions in the PRICO LNG process

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  • Xu, Xiongwen
  • Liu, Jinping
  • Jiang, Chuanshuo
  • Cao, Le

Abstract

The mixed refrigerant (MR) process is widely used for the liquefaction of natural gas (NG). The determination of MR composition with respect to variations in ambient conditions is crucial but difficult. PRICO is one of the simplest MR processes, and it is frequently used in small and mid-scale natural gas liquefaction plants. However, the determination of MR composition in the PRICO process is not easy. In this work, we presented a potential solution to this problem. First, operating pressures in the PRICO process were assumed to be fixed. We then programmed a genetic algorithm (GA) method coupling the process simulation software Aspen Plus and optimised the MR composition solution under different cold box inlet temperatures. Linear regression was performed on the MR composition to derive a set of functions, which were then validated for feasibility and energy efficiency. The results show that when the ambient temperature increases, the concentrations of methane, ethylene and propane should decrease, and isopentane should increase. This work may be helpful for designers and operators working with the PRICO process.

Suggested Citation

  • Xu, Xiongwen & Liu, Jinping & Jiang, Chuanshuo & Cao, Le, 2013. "The correlation between mixed refrigerant composition and ambient conditions in the PRICO LNG process," Applied Energy, Elsevier, vol. 102(C), pages 1127-1136.
    • Handle: RePEc:eee:appene:v:102:y:2013:i:c:p:1127-1136
    DOI: 10.1016/j.apenergy.2012.06.031
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    References listed on IDEAS

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    1. Mokarizadeh Haghighi Shirazi, M. & Mowla, D., 2010. "Energy optimization for liquefaction process of natural gas in peak shaving plant," Energy, Elsevier, vol. 35(7), pages 2878-2885.
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    2. Steven Jackson & Eivind Brodal, 2021. "Optimization of a Mixed Refrigerant Based H 2 Liquefaction Pre-Cooling Process and Estimate of Liquefaction Performance with Varying Ambient Temperature," Energies, MDPI, vol. 14(19), pages 1-18, September.
    3. 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).
    4. He, Tianbiao & Liu, Zuming & Ju, Yonglin & Parvez, Ashak Mahmud, 2019. "A comprehensive optimization and comparison of modified single mixed refrigerant and parallel nitrogen expansion liquefaction process for small-scale mobile LNG plant," Energy, Elsevier, vol. 167(C), pages 1-12.
    5. Kim, Juwon & Seo, Youngkyun & Chang, Daejun, 2016. "Economic evaluation of a new small-scale LNG supply chain using liquid nitrogen for natural-gas liquefaction," Applied Energy, Elsevier, vol. 182(C), pages 154-163.
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    7. 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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    11. Nguyen, Tuong-Van & Elmegaard, Brian, 2016. "Assessment of thermodynamic models for the design, analysis and optimisation of gas liquefaction systems," Applied Energy, Elsevier, vol. 183(C), pages 43-60.
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    13. 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).
    14. Aasadnia, Majid & Mehrpooya, Mehdi, 2018. "Large-scale liquid hydrogen production methods and approaches: A review," Applied Energy, Elsevier, vol. 212(C), pages 57-83.
    15. Wang, Chenghong & Sun, Daming & Shen, Qie & Shen, Keyi & Duan, Yuanyuan, 2024. "Optimization of coalbed methane liquefaction process based on parallel nitrogen reverse Brayton cycle under varying methane contents and liquefaction ratios," Energy, Elsevier, vol. 293(C).
    16. Qyyum, Muhammad Abdul & Ahmed, Faisal & Nawaz, Alam & He, Tianbiao & Lee, Moonyong, 2021. "Teaching-learning self-study approach for optimal retrofitting of dual mixed refrigerant LNG process: Energy and exergy perspective," Applied Energy, Elsevier, vol. 298(C).
    17. Li, Yinlong & Liu, Guoqiang & Chen, Qi & Yan, Gang, 2023. "Progress of auto-cascade refrigeration systems performance improvement: Composition separation, shift and regulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    18. Muhammad Abdul Qyyum & Muhammad Yasin & Alam Nawaz & Tianbiao He & Wahid Ali & Junaid Haider & Kinza Qadeer & Abdul-Sattar Nizami & Konstantinos Moustakas & Moonyong Lee, 2020. "Single-Solution-Based Vortex Search Strategy for Optimal Design of Offshore and Onshore Natural Gas Liquefaction Processes," Energies, MDPI, vol. 13(7), pages 1-22, April.
    19. 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).
    20. Sadaghiani, Mirhadi S. & Siahvashi, Arman & Norris, Bruce W.E. & Al Ghafri, Saif Z.S. & Arami-Niya, Arash & May, Eric F., 2022. "Prediction of solid formation conditions in mixed refrigerants with iso-pentane and methane at high pressures and cryogenic temperatures," Energy, Elsevier, vol. 250(C).
    21. Lei Gao & Jiaxin Wang & Maxime Binama & Qian Li & Weihua Cai, 2022. "The Design and Optimization of Natural Gas Liquefaction Processes: A Review," Energies, MDPI, vol. 15(21), pages 1-56, October.
    22. Kwak, Dong-Hun & Heo, Jeong-Ho & Park, Seung-Ha & Seo, Seok-Jang & Kim, Jin-Kuk, 2018. "Energy-efficient design and optimization of boil-off gas (BOG) re-liquefaction process for liquefied natural gas (LNG)-fuelled ship," Energy, Elsevier, vol. 148(C), pages 915-929.
    23. Sanavandi, Hamid & Mafi, Mostafa & Ziabasharhagh, Masoud, 2019. "Normalized sensitivity analysis of LNG processes - Case studies: Cascade and single mixed refrigerant systems," Energy, Elsevier, vol. 188(C).
    24. Lee, Jaejun & Son, Heechang & Yu, Taejong & Oh, Juyoung & Park, Min Gyun & Lim, Youngsub, 2023. "Process design of advanced LNG subcooling system combined with a mixed refrigerant cycle," Energy, Elsevier, vol. 278(PA).
    25. Ancona, M.A. & Bianchi, M. & Branchini, L. & De Pascale, A. & Melino, F. & Mormile, M. & Palella, M. & Scarponi, L.B., 2018. "Investigation on small-scale low pressure LNG production process," Applied Energy, Elsevier, vol. 227(C), pages 672-685.

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