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Multi-plant indirect heat integration based on the Alopex-based evolutionary algorithm

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  • Pan, Huangji
  • Jin, Yuhui
  • Li, Shaojun

Abstract

Multi-plant indirect heat integration via an intermediate fluid loop is an effective and energy-saving method of heat recovery. It is most suitable in practical applications because it requires fewer inter-plant pipelines and has the advantages of a simple heat exchanger network. A well-designed heat exchanger network will significantly increase economic efficiency and reduce energy consumption in plants. In this paper, a multi-plant indirect heat exchanger network model is developed for recycling heat using intermediate fluid. This model aims to minimize the total annual cost, including utility cost, number of units and heat transfer area cost. An Alopex-based evolutionary algorithm is used to optimize the model and obtain the heat capacity flow rate of intermediate fluids, the temperature of the heat transfer medium and the configuration of the superstructure simultaneously. Results from three examples demonstrate that the proposed model can perform well in multi-plant heat exchanger network synthesis.

Suggested Citation

  • Pan, Huangji & Jin, Yuhui & Li, Shaojun, 2018. "Multi-plant indirect heat integration based on the Alopex-based evolutionary algorithm," Energy, Elsevier, vol. 163(C), pages 811-821.
    • Handle: RePEc:eee:energy:v:163:y:2018:i:c:p:811-821
    DOI: 10.1016/j.energy.2018.08.129
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    References listed on IDEAS

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    1. Song, Runrun & Tang, Qikui & Wang, Yufei & Feng, Xiao & El-Halwagi, Mahmoud M., 2017. "The implementation of inter-plant heat integration among multiple plants. Part I: A novel screening algorithm," Energy, Elsevier, vol. 140(P1), pages 1018-1029.
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    4. Jin, Yuhui & Chang, Chuei-Tin & Li, Shaojun & Jiang, Da, 2018. "On the use of risk-based Shapley values for cost sharing in interplant heat integration programs," Applied Energy, Elsevier, vol. 211(C), pages 904-920.
    5. Song, Runrun & Chang, Chenglin & Tang, Qikui & Wang, Yufei & Feng, Xiao & El-Halwagi, Mahmoud M., 2017. "The implementation of inter-plant heat integration among multiple plants. Part II: The mathematical model," Energy, Elsevier, vol. 135(C), pages 382-393.
    6. Chang, Hao-Hsuan & Chang, Chuei-Tin & Li, Bao-Hong, 2018. "Game-theory based optimization strategies for stepwise development of indirect interplant heat integration plans," Energy, Elsevier, vol. 148(C), pages 90-111.
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    Cited by:

    1. Hong, Xiaodong & Liao, Zuwei & Sun, Jingyuan & Jiang, Binbo & Wang, Jingdai & Yang, Yongrong, 2019. "Transshipment type heat exchanger network model for intra- and inter-plant heat integration using process streams," Energy, Elsevier, vol. 178(C), pages 853-866.
    2. Teng, Sin Yong & Orosz, Ákos & How, Bing Shen & Jansen, Jeroen J. & Friedler, Ferenc, 2023. "Retrofit heat exchanger network optimization via graph-theoretical approach: Pinch-bounded N-best solutions allows positional swapping," Energy, Elsevier, vol. 283(C).
    3. Xiao, Wu & Wang, Kaifeng & Jiang, Xiaobin & Li, Xiangcun & Wu, Xuemei & Hao, Ze & He, Gaohong, 2019. "Simultaneous optimization strategies for heat exchanger network synthesis and detailed shell-and-tube heat-exchanger design involving phase changes using GA/SA," Energy, Elsevier, vol. 183(C), pages 1166-1177.

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