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Robust model predictive control and PID control of shell-and-tube heat exchangers

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  • Oravec, Juraj
  • Bakošová, Monika
  • Trafczynski, Marian
  • Vasičkaninová, Anna
  • Mészáros, Alajos
  • Markowski, Mariusz

Abstract

Robust model predictive control (MPC) with integral action is designed for the shell-and-tube heat exchangers that are a part of an industrial heat-exchanger network. The advanced control strategy is used for optimizing the control performance as fouling influences operation of the heat exchangers and causes changes of the heat exchangers' parameters. The time-varying parameters of the heat exchangers are considered as parametric uncertainties and robust MPC is used as it is able to handle processes with uncertainties. Integral action is implemented in the robust MPC to assure offset-free control responses. The extensive simulation case study of the robust MPC and proportional-integral-derivative (PID) control of the shell-and-tube heat exchangers confirms significantly improved control performance and energy savings when the newly designed robust MPC with integral action is used.

Suggested Citation

  • Oravec, Juraj & Bakošová, Monika & Trafczynski, Marian & Vasičkaninová, Anna & Mészáros, Alajos & Markowski, Mariusz, 2018. "Robust model predictive control and PID control of shell-and-tube heat exchangers," Energy, Elsevier, vol. 159(C), pages 1-10.
    • Handle: RePEc:eee:energy:v:159:y:2018:i:c:p:1-10
    DOI: 10.1016/j.energy.2018.06.106
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    1. Trafczynski, Marian & Markowski, Mariusz & Urbaniec, Krzysztof, 2019. "Energy saving potential of a simple control strategy for heat exchanger network operation under fouling conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 355-364.
    2. Dong, Zhe & Huang, Xiaojin & Dong, Yujie & Zhang, Zuoyi, 2020. "Multilayer perception based reinforcement learning supervisory control of energy systems with application to a nuclear steam supply system," Applied Energy, Elsevier, vol. 259(C).
    3. Chang, Hongliang & Han, Zeran & Li, Xionghui & Ma, Ting & Wang, Qiuwang, 2022. "Experimental investigation on heat transfer performance based on average thermal-resistance ratio for supercritical carbon dioxide in asymmetric airfoil-fin printed circuit heat exchanger," Energy, Elsevier, vol. 254(PB).
    4. Jiří Jaromír Klemeš & Petar Sabev Varbanov & Paweł Ocłoń & Hon Huin Chin, 2019. "Towards Efficient and Clean Process Integration: Utilisation of Renewable Resources and Energy-Saving Technologies," Energies, MDPI, vol. 12(21), pages 1-32, October.
    5. Wan, Xin & Luo, Xiong-Lin, 2020. "Economic optimization of chemical processes based on zone predictive control with redundancy variables," Energy, Elsevier, vol. 212(C).
    6. Brage Rugstad Knudsen & Hanne Kauko & Trond Andresen, 2019. "An Optimal-Control Scheme for Coordinated Surplus-Heat Exchange in Industry Clusters," Energies, MDPI, vol. 12(10), pages 1-22, May.
    7. Trafczynski, Marian & Markowski, Mariusz & Urbaniec, Krzysztof, 2023. "Energy saving and pollution reduction through optimal scheduling of cleaning actions in a heat exchanger network," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    8. 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).
    9. Oravec, Juraj & Horváthová, Michaela & Bakošová, Monika, 2020. "Energy efficient convex-lifting-based robust control of a heat exchanger," Energy, Elsevier, vol. 201(C).
    10. Oravec, Juraj & Bakošová, Monika & Galčíková, Lenka & Slávik, Michal & Horváthová, Michaela & Mészáros, Alajos, 2019. "Soft-constrained robust model predictive control of a plate heat exchanger: Experimental analysis," Energy, Elsevier, vol. 180(C), pages 303-314.
    11. Çetin, Gürcan & Özkaraca, Osman & Keçebaş, Ali, 2021. "Development of PID based control strategy in maximum exergy efficiency of a geothermal power plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).

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