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A new approach to analysis and optimization of evaporative cooling system I: Theory

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  • Chen, Qun
  • Yang, Kangding
  • Wang, Moran
  • Pan, Ning
  • Guo, Zeng-Yuan

Abstract

Using the analogy between heat and mass transfer processes, the recently developed entransy theory is extended in this paper to tackle the coupled heat and mass transfer processes so as to analyze and optimize the performance of evaporative cooling systems. We first introduce a few new concepts including the moisture entransy, moisture entransy dissipation, and the thermal resistance in terms of the moisture entransy dissipation. Thereinafter, the moisture entransy is employed to describe the endothermic ability of a moist air. The moisture entransy dissipation on the other hand is used to measure the loss of the endothermic ability, i.e. the irreversibility, in the coupled heat and mass transfer processes – this total loss is shown to consist of three parts: (1) the sensible heat entransy dissipation, (2) the latent heat entransy dissipation, and (3) the entransy dissipation induced by a temperature potential. Finally the new thermal resistance, defined as the moisture entransy dissipation rate divided by the squared refrigerating effect output rate, is recommended as an index to effectively reflect the performance of the evaporative cooling system. In the end, two typical evaporative cooling processes are analyzed to illustrate the applications of the proposed concepts.

Suggested Citation

  • Chen, Qun & Yang, Kangding & Wang, Moran & Pan, Ning & Guo, Zeng-Yuan, 2010. "A new approach to analysis and optimization of evaporative cooling system I: Theory," Energy, Elsevier, vol. 35(6), pages 2448-2454.
  • Handle: RePEc:eee:energy:v:35:y:2010:i:6:p:2448-2454
    DOI: 10.1016/j.energy.2010.02.037
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    References listed on IDEAS

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    1. Al-Jamal, K., 1994. "Greenhouse cooling in hot countries," Energy, Elsevier, vol. 19(11), pages 1187-1192.
    2. 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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    3. Chen, Qun & Pan, Ning & Guo, Zeng-Yuan, 2011. "A new approach to analysis and optimization of evaporative cooling system II: Applications," Energy, Elsevier, vol. 36(5), pages 2890-2898.
    4. Zhan, Changhong & Duan, Zhiyin & Zhao, Xudong & Smith, Stefan & Jin, Hong & Riffat, Saffa, 2011. "Comparative study of the performance of the M-cycle counter-flow and cross-flow heat exchangers for indirect evaporative cooling – Paving the path toward sustainable cooling of buildings," Energy, Elsevier, vol. 36(12), pages 6790-6805.
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    7. Xu, Mingtian, 2012. "Variational principles in terms of entransy for heat transfer," Energy, Elsevier, vol. 44(1), pages 973-977.
    8. Chen, Qun & Xu, Yun-Chao, 2012. "An entransy dissipation-based optimization principle for building central chilled water systems," Energy, Elsevier, vol. 37(1), pages 571-579.
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    12. Sun, Yubiao & Guan, Zhiqiang & Gurgenci, Hal & Wang, Jianyong & Dong, Peixin & Hooman, Kamel, 2019. "Spray cooling system design and optimization for cooling performance enhancement of natural draft dry cooling tower in concentrated solar power plants," Energy, Elsevier, vol. 168(C), pages 273-284.
    13. Guo, Jiangfeng & Huai, Xiulan, 2012. "Optimization design of recuperator in a chemical heat pump system based on entransy dissipation theory," Energy, Elsevier, vol. 41(1), pages 335-343.
    14. Carlos J. Esparza-López & Carlos Escobar-del Pozo & Karam M. Al-Obaidi & Marcos Eduardo González-Trevizo, 2022. "Improving the Thermal Performance of Indirect Evaporative Cooling by Using a Wet Fabric Device on a Concrete Roof in Hot and Humid Climates," Energies, MDPI, vol. 15(6), pages 1-18, March.
    15. Chen, Qun & Xu, Yun-Chao & Hao, Jun-Hong, 2014. "An optimization method for gas refrigeration cycle based on the combination of both thermodynamics and entransy theory," Applied Energy, Elsevier, vol. 113(C), pages 982-989.
    16. Gordeeva, Larisa G. & Aristov, Yuriy I., 2011. "Composite sorbent of methanol “LiCl in mesoporous silica gel” for adsorption cooling: Dynamic optimization," Energy, Elsevier, vol. 36(2), pages 1273-1279.
    17. Yuan, Fang & Chen, Qun, 2012. "A global optimization method for evaporative cooling systems based on the entransy theory," Energy, Elsevier, vol. 42(1), pages 181-191.
    18. Javadpour, Reza & Zeinali Heris, Saeed & Mohammadfam, Yaghoub, 2021. "Optimizing the effect of concentration and flow rate of water/ MWCNTs nanofluid on the performance of a forced draft cross-flow cooling tower," Energy, Elsevier, vol. 217(C).
    19. Duan, Zhiyin & Zhan, Changhong & Zhang, Xingxing & Mustafa, Mahmud & Zhao, Xudong & Alimohammadisagvand, Behrang & Hasan, Ala, 2012. "Indirect evaporative cooling: Past, present and future potentials," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6823-6850.
    20. Tsang, S.W. & Jim, C.Y., 2011. "Theoretical evaluation of thermal and energy performance of tropical green roofs," Energy, Elsevier, vol. 36(5), pages 3590-3598.
    21. Liu, Y.K. & Tao, Y.B., 2018. "Thermodynamic analysis and optimization of multistage latent heat storage unit under unsteady inlet temperature based on entransy theory," Applied Energy, Elsevier, vol. 227(C), pages 488-496.
    22. Guo, Jiangfeng & Huai, Xiulan, 2012. "The application of entransy theory in optimization design of Isopropanol–Acetone–Hydrogen chemical heat pump," Energy, Elsevier, vol. 43(1), pages 355-360.
    23. Wang, C. & Zhu, Y., 2018. "Entransy analysis on optimization of a double-stage latent heat storage unit with the consideration of an unequal separation," Energy, Elsevier, vol. 148(C), pages 386-396.

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