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Non-structural model for heat exchanger network synthesis allowing for stream splitting

Author

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  • Kayange, Heri Ambonisye
  • Cui, Guomin
  • Xu, Yue
  • Li, Jian
  • Xiao, Yuan

Abstract

For more than three decades, heat exchanger network (HEN) synthesis has been primarily addressed by defining initial structures that embed different design alternatives, and near optimal HEN configurations are extracted from these structures during the optimization process. However, such initial structures are prone to missing necessary design alternatives and may require simplifying assumptions to ease the computational burden of optimization algorithms. This paper presents a non-structural model (NSM) for synthesis of HEN considering stream splitting and non-isothermal merging of branch streams. The model exhibits randomness in stream matching, generation and elimination by which potential matches are realized. Random walk algorithm with compulsive evolution is used for optimization of both integer variables (number of heat units) and continuous variables (heat duties and split fractions). The effectiveness of the approach is tested for small- and medium-size literature cases. The method demonstrates results comparable to or better than those reported in literature.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:201:y:2020:i:c:s0360544220305685
    DOI: 10.1016/j.energy.2020.117461
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    References listed on IDEAS

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    1. Bao, Zhongkai & Cui, Guoming & Chen, Jiaxing & Sun, Tao & Xiao, Yuan, 2018. "A novel random walk algorithm with compulsive evolution combined with an optimum-protection strategy for heat exchanger network synthesis," Energy, Elsevier, vol. 152(C), pages 694-708.
    2. 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.
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    Cited by:

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    2. 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).
    3. Pavão, Leandro V. & Santos, Lucas F. & Oliveira, Cássia M. & Cruz, Antonio J.G. & Ravagnani, Mauro A.S.S. & Costa, Caliane B.B., 2023. "Flexible heat integration system in first-/second-generation ethanol production via screening pinch-based method and multiperiod model," Energy, Elsevier, vol. 271(C).
    4. Liu, Zhaoli & Yang, Lu & Yang, Siyu & Qian, Yu, 2022. "An extended stage-wise superstructure for heat exchanger network synthesis with intermediate placement of multiple utilities," Energy, Elsevier, vol. 248(C).
    5. 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).
    6. Orosz, Ákos & Friedler, Ferenc, 2020. "Multiple-solution heat exchanger network synthesis for enabling the best industrial implementation," Energy, Elsevier, vol. 208(C).
    7. 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).
    8. David Huber & Felix Birkelbach & René Hofmann, 2023. "HENS Unchained: MILP Implementation of Multi-Stage Utilities with Stream Splits, Variable Temperatures and Flow Capacities," Energies, MDPI, vol. 16(12), pages 1-22, June.

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