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Optimization of single mixed-refrigerant natural gas liquefaction processes described by nondifferentiable models

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  • Watson, Harry A.J.
  • Vikse, Matias
  • Gundersen, Truls
  • Barton, Paul I.

Abstract

A new strategy for the optimization of natural gas liquefaction processes is presented, in which flowsheets formulated using nondifferentiable process models are efficiently and robustly optimized using an interior-point algorithm. The constraints in the optimization formulation lead to solutions that ensure optimal usage of the area of multistream heat exchangers in the processes in order to minimize irreversibilities. The process optimization problems are solved reliably without the need for a complex initialization procedure even when highly accurate descriptions of the process stream cooling curves are required. In addition to the well-studied PRICO liquefaction process, two significantly more complex single mixed-refrigerant processes are successfully optimized and results are reported for each process subject to constraints imposed by several different operating scenarios.

Suggested Citation

  • Watson, Harry A.J. & Vikse, Matias & Gundersen, Truls & Barton, Paul I., 2018. "Optimization of single mixed-refrigerant natural gas liquefaction processes described by nondifferentiable models," Energy, Elsevier, vol. 150(C), pages 860-876.
    • Handle: RePEc:eee:energy:v:150:y:2018:i:c:p:860-876
    DOI: 10.1016/j.energy.2018.03.013
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    References listed on IDEAS

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    Cited by:

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    2. 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).
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    4. Zhang, Shouxin & Zou, Zimo & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev & Shahzad, Khurram & Ali, Arshid Mahmood & Wang, Bo-Hong, 2023. "A new strategy for mixed refrigerant composition optimisation in the propane precooled mixed refrigerant natural gas liquefaction process," Energy, Elsevier, vol. 274(C).
    5. Subramanian, Avinash S.R. & Gundersen, Truls & Adams, Thomas A., 2021. "Optimal design and operation of a waste tire feedstock polygeneration system," Energy, Elsevier, vol. 223(C).
    6. 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).
    7. Vikse, Matias & Watson, Harry A.J. & Kim, Donghoi & Barton, Paul I. & Gundersen, Truls, 2020. "Optimization of a dual mixed refrigerant process using a nonsmooth approach," Energy, Elsevier, vol. 196(C).
    8. Subramanian, Avinash S.R. & Gundersen, Truls & Adams, Thomas A., 2020. "Technoeconomic analysis of a waste tire to liquefied synthetic natural gas (SNG) energy system," Energy, Elsevier, vol. 205(C).
    9. Qyyum, Muhammad Abdul & Haider, Junaid & Qadeer, Kinza & Valentina, Valentina & Khan, Amin & Yasin, Muhammad & Aslam, Muhammad & De Guido, Giorgia & Pellegrini, Laura A. & Lee, Moonyong, 2020. "Biogas to liquefied biomethane: Assessment of 3P's–Production, processing, and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    10. Bian, Jiang & Cao, Xuewen & Teng, Lin & Sun, Yuan & Gao, Song, 2019. "Effects of inlet parameters on the supersonic condensation and swirling characteristics of binary natural gas mixture," Energy, Elsevier, vol. 188(C).
    11. 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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