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Multi-objective optimization of propane pre-cooled mixed refrigerant (C3MR) LNG process

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  • Primabudi, Eko
  • Morosuk, Tatiana
  • Tsatsaronis, George

Abstract

Multi-Objective optimization of propane pre-cooled mixed refrigerant (C3MR) LNG process is performed with two objective functions: (a) maximizing the exergy efficiency and (b) minimizing the total cost of the product. The process simulation is developed using Aspen Plus, while the feasible solutions are produced using non-dominated sorting genetic algorithm II (NSGA-II). The results from exergy-based analysis revealed that when the exergetic efficiency is maximized, the total cost of product has increased from 5047$/h to 52776 $/h, with 71% of the investment costs come from precooling heat exchangers and main cryogenic heat exchangers. On the contrary, when the total cost of product is minimized, the total investment cost is reduced by 18% at the expense of exergetic efficiency. At the lowest cost of product, the total exergy destruction has increased to 111.4 MW or 38% higher compared with the case of maximization of exergetic efficiency. The optimization shows the range of Pareto feasible solutions are between 0.557 and 0.613 for exergetic efficiency and between 45600 and 52776 $/h for the total cost of product. This study demonstrates the approach to solve a multi-objective problem and to find Pareto front for an LNG process without imposing any weighted preferences to the objective functions.

Suggested Citation

  • Primabudi, Eko & Morosuk, Tatiana & Tsatsaronis, George, 2019. "Multi-objective optimization of propane pre-cooled mixed refrigerant (C3MR) LNG process," Energy, Elsevier, vol. 185(C), pages 492-504.
    • Handle: RePEc:eee:energy:v:185:y:2019:i:c:p:492-504
    DOI: 10.1016/j.energy.2019.07.035
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    References listed on IDEAS

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    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).
    6. Saghi Raeisdanaei & Vahid Pirouzfar & Chia-Hung Su, 2022. "Technical and economic assessment of processes for the LNG production in cycles with expander and refrigeration," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 13407-13425, November.
    7. 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).
    8. Shamsi, M. & Obaid, A.A. & Vaziri, M. & Mousavian, S. & Hekmatian, A. & Bonyadi, M., 2024. "A comprehensive comparison of the turbo-expander, Joule-Thomson, and combination of mechanical refrigeration and Joule-Thomson processes for natural gas liquids production," Energy, Elsevier, vol. 295(C).
    9. Shazed, Abdur Rahman & Ashraf, Hafsa M. & Katebah, Mary A. & Bouabidi, Zineb & Al-musleh, Easa I., 2021. "Overcoming the energy and environmental issues of LNG plants by using solid oxide fuel cells," Energy, Elsevier, vol. 218(C).
    10. Li, Xiaodong & Jinxi, Wang, 2023. "A novel process for the simultaneous production of methanol, oxygen, and electricity using a PEM electrolyzer and agricultural-based landfill gas-fed oxyfuel combustion power plant," Energy, Elsevier, vol. 284(C).
    11. Tian, Zhongyun & Zheng, Wenke & Guo, Jiwei & Jiang, Yiqiang & Liang, Zhirong & Mi, Xiaoguang, 2024. "Fundamental research on the condensation heat transfer of the hydrocarbon-mixture energy in a spiral tube described by a universal model using flow pattern based and general modes," Energy, Elsevier, vol. 296(C).
    12. 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).

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