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Multi-Objective Optimal Design and Operation of Heat Exchanger Networks with Controllability Consideration

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  • Siwen Gu

    (School of Photoelectric Engineering, Changzhou Institute of Technology; Changzhou 213032, China
    Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China)

  • Xiuna Zhuang

    (Lanshan District Government Service Center, Rizhao 276807, China)

  • Chenying Li

    (Wanhua Chemical Group Co., Ltd., Yantai 264013, China)

  • Shuai Zhang

    (Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China)

  • Jiaan Wang

    (School of Photoelectric Engineering, Changzhou Institute of Technology; Changzhou 213032, China)

  • Yu Zhuang

    (Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China)

Abstract

Controllability reflects the ease that a process can be controlled in practical operating environment. However, an unclear influence between the HEN synthesis and the control structure selection has been not investigated for the work of controllability of heat exchanger network (HEN). To address this challenge, this paper proposes a multi-objective optimization method by considering both the quantitative measures of economic and controllability, i.e., minimizing the total annual cost (TAC) and the relative gain array number (RGAn). This method is developed using a HEN synthesis procedure where a model-based superstructure is employed to involve the set of the network configuration alternatives and all the potential control structures. The effects of minimum approach temperature ( ΔT min ) on the multi-objective optimization problem are investigated to distinguish the consistent and opposite variations of TAC and RGAn. The consistent change enables us to solve the single objective optimization problem for economical HEN design as well as for taking controllability into account. The opposite change prompts the Pareto front of the two objectives in order to develop a trade-off strategy. Results indicate that this method helps in the determination of the relationship-based nature between network configuration and control structure to yield a HEN design with economic and controllability considerations.

Suggested Citation

  • Siwen Gu & Xiuna Zhuang & Chenying Li & Shuai Zhang & Jiaan Wang & Yu Zhuang, 2022. "Multi-Objective Optimal Design and Operation of Heat Exchanger Networks with Controllability Consideration," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15128-:d:973375
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    References listed on IDEAS

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    1. Zhu, Qing & Ren, Zhifeng, 2020. "A double four-point probe method for reliable measurement of energy conversion efficiency of thermoelectric materials," Energy, Elsevier, vol. 191(C).
    2. Liu, Linlin & Li, Chenying & Gu, Siwen & Zhang, Lei & Du, Jian, 2020. "Optimization-based framework for the synthesis of heat exchanger networks incorporating controllability," Energy, Elsevier, vol. 208(C).
    3. Wang, Bohong & Arsenyeva, Olga & Zeng, Min & Klemeš, Jiří Jaromír & Varbanov, Petar Sabev, 2022. "An advanced Grid Diagram for heat exchanger network retrofit with detailed plate heat exchanger design," Energy, Elsevier, vol. 248(C).
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