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Optimization principles for two-stream heat exchangers and two-stream heat exchanger networks

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  • Cheng, Xuetao
  • Liang, Xingang

Abstract

This paper presents the relationships for the heat transfer performance of two-stream heat exchangers (THEs) and two-stream heat exchanger networks (THENs) with the entropy generation, the entropy generation number, the revised entropy generation number, the entransy dissipation, the entransy dissipation number and the entransy-dissipation-based (EDB) thermal resistance. The results indicate that the effectiveness only increases with decreasing revised entropy generation number, entransy dissipation number and EDB thermal resistance when the heat capacity flow rates and the inlet temperatures are both fixed. The heat transfer rate increases with decreasing thermal resistance, increasing entropy generation and increasing entransy dissipation for prescribed inlet temperatures and prescribed ratios of the heat transfer rate to the heat capacity flow rates. The effectiveness has monotonic relations with all six parameters if the heat transfer rate is prescribed. Only the EDB thermal resistance has monotonic relation with the heat transfer performances for all the discussed cases. A lower resistance gives a better heat transfer performance. Other heat transfer examples also show that the concept of EDB thermal resistance has a wider suitability to the heat transfer optimizations discussed in the paper than the other five concepts.

Suggested Citation

  • Cheng, Xuetao & Liang, Xingang, 2012. "Optimization principles for two-stream heat exchangers and two-stream heat exchanger networks," Energy, Elsevier, vol. 46(1), pages 386-392.
  • Handle: RePEc:eee:energy:v:46:y:2012:i:1:p:386-392
    DOI: 10.1016/j.energy.2012.08.012
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    References listed on IDEAS

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    1. Wang, R.Z. & Xia, Z.Z. & Wang, L.W. & Lu, Z.S. & Li, S.L. & Li, T.X. & Wu, J.Y. & He, S., 2011. "Heat transfer design in adsorption refrigeration systems for efficient use of low-grade thermal energy," Energy, Elsevier, vol. 36(9), pages 5425-5439.
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    4. Chen, Qun & Wang, Moran & Pan, Ning & Guo, Zeng-Yuan, 2009. "Optimization principles for convective heat transfer," Energy, Elsevier, vol. 34(9), pages 1199-1206.
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    Cited by:

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    2. Liu, Pu & Cui, Guomin & Xiao, Yuan & Chen, Jiaxing, 2018. "A new heuristic algorithm with the step size adjustment strategy for heat exchanger network synthesis," Energy, Elsevier, vol. 143(C), pages 12-24.
    3. Wang, Chaoyang & Liu, Ming & Zhao, Yongliang & Qiao, Yongqiang & Yan, Junjie, 2018. "Entropy generation analysis on a heat exchanger with different design and operation factors during transient processes," Energy, Elsevier, vol. 158(C), pages 330-342.
    4. Huang, Kefeng & Karimi, I.A., 2016. "Work-heat exchanger network synthesis (WHENS)," Energy, Elsevier, vol. 113(C), pages 1006-1017.
    5. Wang, Xiaoyin & Zhao, Xiling & Fu, Lin, 2018. "Entransy analysis of secondary network flow distribution in absorption heat exchanger," Energy, Elsevier, vol. 147(C), pages 428-439.
    6. Alic, Fikret, 2015. "The optimization of radial rotating convective pipes," Energy, Elsevier, vol. 87(C), pages 279-288.
    7. Cheng, XueTao, 2013. "Entropy resistance minimization: An alternative method for heat exchanger analyses," Energy, Elsevier, vol. 58(C), pages 672-678.
    8. Ebrahimzadeh, Edris & Wilding, Paul & Frankman, David & Fazlollahi, Farhad & Baxter, Larry L., 2016. "Theoretical and experimental analysis of dynamic heat exchanger: Retrofit configuration," Energy, Elsevier, vol. 96(C), pages 545-560.

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