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Optimization-based framework for the synthesis of heat exchanger networks incorporating controllability

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  • Liu, Linlin
  • Li, Chenying
  • Gu, Siwen
  • Zhang, Lei
  • Du, Jian

Abstract

Controllability issue of heat exchanger networks (HENs) has drawn an increasing attention in recent years. Currently, the study of controllability of HENs is still towards a certain network structure, which is still not able to integrate controllability within HEN synthesis. To overcome this challenge, a new two-stage optimization framework is proposed in this work to implement the HEN design with economy and controllability automatically incorporated. In the first stage, an iterative procedure is developed to incorporate the optimization of network and control structure. Two controllability rules, referring to network structure design and control loops selection, are introduced to ensure the initial network structure is endowed with good controllability property, and the disturbance propagation and control (DP&C) model is re-formulated based on superstructure presentation to perform the automatic evaluation of controllability. Afterwards, the decision variable optimization stage is executed to further optimize the results by taking the locations and fractions of bypasses as decision variables. Finally, two cases are studied and the results show that the controllability are improved by 10.6% and 30.0%, respectively, with a less increment of total cost. Based on the results, the inconsistent effect of bypass fraction on cost and controllability has been also discussed.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:208:y:2020:i:c:s0360544220313992
    DOI: 10.1016/j.energy.2020.118292
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    References listed on IDEAS

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    1. Sun, Lin & Zha, Xinlang & Luo, Xionglin, 2018. "Coordination between bypass control and economic optimization for heat exchanger network," Energy, Elsevier, vol. 160(C), pages 318-329.
    2. Onishi, Viviani C. & Quirante, Natalia & Ravagnani, Mauro A.S.S. & Caballero, José A., 2018. "Optimal synthesis of work and heat exchangers networks considering unclassified process streams at sub and above-ambient conditions," Applied Energy, Elsevier, vol. 224(C), pages 567-581.
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    4. Bakar, Suraya Hanim Abu & Hamid, Mohd. Kamaruddin Abd. & Alwi, Sharifah Rafidah Wan & Manan, Zainuddin Abdul, 2016. "Selection of minimum temperature difference (ΔTmin) for heat exchanger network synthesis based on trade-off plot," Applied Energy, Elsevier, vol. 162(C), pages 1259-1271.
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    Citations

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    Cited by:

    1. 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).
    2. 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.
    3. 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).
    4. Seferlis, Panos & Varbanov, Petar Sabev & Papadopoulos, Athanasios I. & Chin, Hon Huin & Klemeš, Jiří Jaromír, 2021. "Sustainable design, integration, and operation for energy high-performance process systems," Energy, Elsevier, vol. 224(C).
    5. Boldyryev, Stanislav & Gil, Tatyana & Ilchenko, Mariia, 2022. "Environmental and economic assessment of the efficiency of heat exchanger network retrofit options based on the experience of society and energy price records," Energy, Elsevier, vol. 260(C).

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