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Heat exchanger network synthesis combining Simulated Annealing and Differential Evolution

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  • Aguitoni, Maria Claudia
  • Pavão, Leandro Vitor
  • Antonio da Silva Sá Ravagnani, Mauro

Abstract

In the present paper, a bi-level optimization approach is proposed to synthesize Heat Exchanger Networks (HEN), based on a hybrid meta-heuristic method. Simulated Annealing (SA) is used to optimize the HEN topologies and Differential Evolution (DE) is applied to the continuous variables. The model is derived from a superstructure and considers streams split and non-isothermal mixing. The code was implemented in C++, which leads to an improvement in the execution times in comparison to previous literature studies. Four case studies were used to test the applicability of the developed model and results showed that it is possible to achieve optimal values, better than those presented in the literature.

Suggested Citation

  • Aguitoni, Maria Claudia & Pavão, Leandro Vitor & Antonio da Silva Sá Ravagnani, Mauro, 2019. "Heat exchanger network synthesis combining Simulated Annealing and Differential Evolution," Energy, Elsevier, vol. 181(C), pages 654-664.
    • Handle: RePEc:eee:energy:v:181:y:2019:i:c:p:654-664
    DOI: 10.1016/j.energy.2019.05.211
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    References listed on IDEAS

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    1. Oliveira, Cássia M. & Pavão, Leandro V. & Ravagnani, Mauro A.S.S. & Cruz, Antonio J.G. & Costa, Caliane B.B., 2018. "Process integration of a multiperiod sugarcane biorefinery," Applied Energy, Elsevier, vol. 213(C), pages 520-539.
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    Cited by:

    1. Jiaxing Chen & Guomin Cui & Mei Cao & Heri Kayange & Jian Li, 2021. "Heat Exchanger Network Optimization Based on the Participatory Evolution Strategy for Streams," Energies, MDPI, vol. 14(24), pages 1-17, December.
    2. Zirngast, Klavdija & Kravanja, Zdravko & Novak Pintarič, Zorka, 2021. "An improved algorithm for synthesis of heat exchanger network with a large number of uncertain parameters," Energy, Elsevier, vol. 233(C).
    3. Ulyev, Leonid & Boldyryev, Stanislav & Kuznetsov, Maxim, 2023. "Investigation of process stream systems for targeting energy-capital trade-offs of a heat recovery network," Energy, Elsevier, vol. 263(PD).
    4. Kayange, Heri Ambonisye & Cui, Guomin & Xu, Yue & Li, Jian & Xiao, Yuan, 2020. "Non-structural model for heat exchanger network synthesis allowing for stream splitting," Energy, Elsevier, vol. 201(C).
    5. Dong, Zhe & Li, Bowen & Li, Junyi & Jiang, Di & Guo, Zhiwu & Huang, Xiaojin & Zhang, Zuoyi, 2021. "Passivity based control of heat exchanger networks with application to nuclear heating," Energy, Elsevier, vol. 223(C).
    6. Stampfli, Jan A. & Ong, Benjamin H.Y. & Olsen, Donald G. & Wellig, Beat & Hofmann, René, 2023. "Multi-objective evolutionary optimization for multi-period heat exchanger network retrofit," Energy, Elsevier, vol. 281(C).
    7. Çetin, Gürcan & Keçebaş, Ali, 2021. "Optimization of thermodynamic performance with simulated annealing algorithm: A geothermal power plant," Renewable Energy, Elsevier, vol. 172(C), pages 968-982.
    8. Bohong Wang & Jiří Jaromír Klemeš & Petar Sabev Varbanov & Min Zeng, 2020. "An Extended Grid Diagram for Heat Exchanger Network Retrofit Considering Heat Exchanger Types," Energies, MDPI, vol. 13(10), pages 1-14, May.
    9. Wang, Bohong & Klemeš, Jiří Jaromír & Li, Nianqi & Zeng, Min & Varbanov, Petar Sabev & Liang, Yongtu, 2021. "Heat exchanger network retrofit with heat exchanger and material type selection: A review and a novel method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    10. Xuxu Zhong & Meijun Duan & Peng Cheng, 2021. "Ranking-based hierarchical random mutation in differential evolution," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-23, February.

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