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Configuration Optimization and Performance Comparison of STHX-DDB and STHX-SB by A Multi-Objective Genetic Algorithm

Author

Listed:
  • Zhe Xu

    (School of Power and Energy, Northwestern Polytechnical University, Xi’an 710129, China)

  • Yingqing Guo

    (School of Power and Energy, Northwestern Polytechnical University, Xi’an 710129, China)

  • Haotian Mao

    (School of Power and Energy, Northwestern Polytechnical University, Xi’an 710129, China)

  • Fuqiang Yang

    (School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China)

Abstract

Based on the thermohydraulic calculation model verified in this study and Non-dominated Sorted Genetic Algorithm-II (NSGA-II), a multi-objective configuration optimization method is proposed, and the performances of shell-and-tube heat exchanger with disc-and-doughnut baffles (STHX-DDB) and shell-and-tube heat exchanger with segmental baffles (STHX-SB) are compared after optimization. The results show that, except in the high range of heat transfer capacity of 16.5–17 kW, the thermohydraulic performance of STHX-DDB is better. Tube bundle diameter, inside tube bundle diameter, number of baffles of STHX-DDB and tube bundle diameter, baffle cut, number of baffles of STHX-SB are chosen as design parameters, and heat transfer capacity maximization and shell-side pressure drop minimization are considered as common optimization objectives. Three optimal configurations are obtained for STHX-DDB and another three are obtained for STHX-SB. The optimal results show that all the six selected optimal configurations are better than the original configurations. For STHX-DDB and STHX-SB, compared with the original configurations, the heat transfer capacity of optimal configurations increases by 6.26% on average and 5.16%, respectively, while the shell-side pressure drop decreases by 44.33% and 19.16% on average, respectively. It indicates that the optimization method is valid and feasible and can provide a significant reference for shell-and-tube heat exchanger design.

Suggested Citation

  • Zhe Xu & Yingqing Guo & Haotian Mao & Fuqiang Yang, 2019. "Configuration Optimization and Performance Comparison of STHX-DDB and STHX-SB by A Multi-Objective Genetic Algorithm," Energies, MDPI, vol. 12(9), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1794-:d:230274
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    References listed on IDEAS

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    1. Halil Bayram & Gökhan Sevilgen, 2017. "Numerical Investigation of the Effect of Variable Baffle Spacing on the Thermal Performance of a Shell and Tube Heat Exchanger," Energies, MDPI, vol. 10(8), pages 1-19, August.
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    Cited by:

    1. Ocłoń, Paweł & Łopata, Stanisław & Stelmach, Tomasz & Li, Mingjie & Zhang, Jian-Fei & Mzad, Hocine & Tao, Wen-Quan, 2021. "Design optimization of a high-temperature fin-and-tube heat exchanger manifold – A case study," Energy, Elsevier, vol. 215(PB).
    2. Huijun Feng & Wei Tang & Lingen Chen & Junchao Shi & Zhixiang Wu, 2021. "Multi-Objective Constructal Optimization for Marine Condensers," Energies, MDPI, vol. 14(17), pages 1-18, September.
    3. Zhe Xu & Yingqing Guo & Huarui Yang & Haotian Mao & Zongling Yu & Rui Li, 2020. "One Convenient Method to Calculate Performance and Optimize Configuration for Annular Radiator Using Heat Transfer Unit Simulation," Energies, MDPI, vol. 13(1), pages 1-19, January.

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