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Structural, operational and economic optimization of cryogenic natural gas plant using NSGAII two-objective genetic algorithm

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  • Ghorbani, Bahram
  • Shirmohammadi, Reza
  • Mehrpooya, Mehdi
  • Hamedi, Mohammad-Hossein

Abstract

Combined pinch and exergy analysis is herein employed to design and optimize a complex integrated structure of cryogenic natural gas plant based on the dual mixed refrigerant refrigeration cycle. Exergy composite curves are applied to reveal possible process improvement. Process intensification can reduce the number of required equipment as well as energy consumption. This integrated structure has specific power of 0.339 (kWh/kg LNG) and exergy efficiency of 66.14%. Sensitivity analysis is used to identify the important parameters affecting on the integrated processes and study behavior of the integrated structure against plant disturbances as well. After identifying important parameters, two single-objective and a NSGAII two-objective genetic algorithms are used to minimize thermodynamic properties and economic values of the integrated structure, simultaneously. Optimization procedure is conducted by structural and operational methods. The amounts of specific power and period of return are decreased by 6.68% and 5.65% by implementing the NSGAII two-objective genetic algorithm.

Suggested Citation

  • Ghorbani, Bahram & Shirmohammadi, Reza & Mehrpooya, Mehdi & Hamedi, Mohammad-Hossein, 2018. "Structural, operational and economic optimization of cryogenic natural gas plant using NSGAII two-objective genetic algorithm," Energy, Elsevier, vol. 159(C), pages 410-428.
    • Handle: RePEc:eee:energy:v:159:y:2018:i:c:p:410-428
    DOI: 10.1016/j.energy.2018.06.078
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    5. Allahyarzadeh-Bidgoli, Ali & Dezan, Daniel Jonas & Salviano, Leandro Oliveira & de Oliveira Junior, Silvio & Yanagihara, Jurandir Itizo, 2019. "FPSO fuel consumption and hydrocarbon liquids recovery optimization over the lifetime of a deep-water oil field," Energy, Elsevier, vol. 181(C), pages 927-942.
    6. Park, Jun Woo & Im, Soo Ik & Lee, Ki Bong, 2023. "Techno-economic optimization of novel energy-efficient solvent deasphalting process using CO2 as a stripping agent," Energy, Elsevier, vol. 263(PB).
    7. Dadak, Ali & Mousavi, Seyed Ali & Mehrpooya, Mehdi & Kasaeian, Alibakhsh, 2022. "Techno-economic investigation and dual-objective optimization of a stand-alone combined configuration for the generation and storage of electricity and hydrogen applying hybrid renewable system," Renewable Energy, Elsevier, vol. 201(P1), pages 1-20.
    8. Niasar, Malek Shariati & Ghorbani, Bahram & Amidpour, Majid & Hayati, Reza, 2019. "Developing a hybrid integrated structure of natural gas conversion to liquid fuels, absorption refrigeration cycle and multi effect desalination (exergy and economic analysis)," Energy, Elsevier, vol. 189(C).
    9. Mingcong Liu & Shaobo Yang & Hongyu Li & Jiayi Xu & Xingfei Li, 2019. "Energy Consumption Analysis and Optimization of the Deep-Sea Self-Sustaining Profile Buoy," Energies, MDPI, vol. 12(12), pages 1-26, June.
    10. 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).
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