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Simulation and Optimization Study on the Performance of Fin-and-Tube Heat Exchanger

Author

Listed:
  • Nijie Jing

    (Institute of Refrigeration & Cryogen, Zhejiang University, Hangzhou 310027, China
    Institute of Energy Utilization and Automation, Hangzhou Dianzi University, Hangzhou 310018, China
    Ningbo Hicon Industry Co., Ltd., Yuyao 315470, China)

  • Yudong Xia

    (Institute of Energy Utilization and Automation, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Qiang Ding

    (Institute of Energy Utilization and Automation, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Yuezeng Chen

    (Ningbo Hicon Industry Co., Ltd., Yuyao 315470, China)

  • Zhiqiang Wang

    (Ningbo Hicon Industry Co., Ltd., Yuyao 315470, China)

  • Xuejun Zhang

    (Institute of Refrigeration & Cryogen, Zhejiang University, Hangzhou 310027, China)

Abstract

Heat exchangers (HX) are often utilized in industry, and the optimization of the performance of HX is a key area of research. In this study, EVAP-COND software 4.0 and genetic algorithm (GA) based optimization methods were proposed to optimize the circuitry and fin pitch of a finned tube heat exchanger for an air conditioner. A simulation model for a multi-circuit finned-tube evaporator used in an air conditioning unit was developed using the EVAP-COND software, and further validated based on the experimental data. Considering the refrigerant flow maldistribution of the original HX, four different circuit arrangements, i.e., types A, B, C, and D, were designed and optimized circuitry obtained. Based on both simulation and experimental results, D-type HX with 1.8 mm fin pitch was selected as 10% tubes could be saved with no significant loss of heat transfer capacity. Then the fin pitch was further optimized using the multi-objective GA method, with both Colburn factor j and friction factor f being considered. Optimization results showed that, in Pareto front, points 1 to 4 showed the increase in the Colburn factor j was negative, while the decrease in the friction factor f was positive. The friction factor decreased by 3.5% as one moved from Point 1 to Point 4, but the Colburn factor rose by 1.02%. Points 5 to 10 demonstrated that, while the decrease in the friction factor was negative, the increase in the Colburn factor was positive. The friction factor decreased by 5.31%, but the Colburn factor increased by 1.51% when going from Point 5 to Point 10. The results of optimization demonstrated that the objective function performed at its optimum when the fin pitch was around 1.77 mm.

Suggested Citation

  • Nijie Jing & Yudong Xia & Qiang Ding & Yuezeng Chen & Zhiqiang Wang & Xuejun Zhang, 2023. "Simulation and Optimization Study on the Performance of Fin-and-Tube Heat Exchanger," Sustainability, MDPI, vol. 15(15), pages 1-15, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11587-:d:1203628
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    References listed on IDEAS

    as
    1. Zhang, Tianyi & Chen, Lei & Wang, Jin, 2023. "Multi-objective optimization of elliptical tube fin heat exchangers based on neural networks and genetic algorithm," Energy, Elsevier, vol. 269(C).
    2. Tang, Song-Zhen & Wang, Fei-Long & He, Ya-Ling & Yu, Yang & Tong, Zi-Xiang, 2019. "Parametric optimization of H-type finned tube with longitudinal vortex generators by response surface model and genetic algorithm," Applied Energy, Elsevier, vol. 239(C), pages 908-918.
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