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A new approach to analysis and optimization of evaporative cooling system II: Applications

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  • Chen, Qun
  • Pan, Ning
  • Guo, Zeng-Yuan

Abstract

After introducing the concepts of moisture entransy, moisture entransy dissipation and thermal resistance based on moisture entransy dissipation (TRMED) in part I of this study, we further analyze several direct/indirect evaporative cooling processes based on the above concepts in this part. The nature of moisture entransy, moisture entransy dissipation and TRMED during evaporative cooling processes was reexamined. The results demonstrate that it is the moisture entransy, not the enthalpy, that represents the endothermic ability of a moist air, and reducing the entransy dissipation by both enlarging the thermal conductance of heat and mass transfer, and decreasing the temperature potential of the moist air, i.e. the difference between the dry-bulb temperature of moist air over its dew-point temperature, will result in a smaller system TRMED, and consequently a better evaporative cooling performance. Then, a minimum thermal resistance law for optimizing evaporative cooling systems is developed. For given mass flow rates of both moist air and water, with prescribed moist air and water conditions, minimizing the TRMED will actually lead to the most efficient evaporative cooling performance. Finally, the thermal conductance allocation for an indirect evaporative cooling system is optimized to illustrate the application of the proposed minimum thermal resistance law.

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  • 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.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:5:p:2890-2898
    DOI: 10.1016/j.energy.2011.02.031
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    1. 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.
    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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    1. Xu, J. & Li, Y. & Wang, R.Z. & Liu, W. & Zhou, P., 2015. "Experimental performance of evaporative cooling pad systems in greenhouses in humid subtropical climates," Applied Energy, Elsevier, vol. 138(C), pages 291-301.
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    5. Kim, Min-Hwi & Kim, Jin-Hyo & Choi, An-Seop & Jeong, Jae-Weon, 2011. "Experimental study on the heat exchange effectiveness of a dry coil indirect evaporation cooler under various operating conditions," Energy, Elsevier, vol. 36(11), pages 6479-6489.
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    7. Ma, Xiaoli & Zeng, Cheng & Zhu, Zishang & Zhao, Xudong & Xiao, Xin & Akhlaghi, Yousef Golizadeh & Shittu, Samson, 2023. "Real life test of a novel super performance dew point cooling system in operational live data centre," Applied Energy, Elsevier, vol. 348(C).
    8. 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.
    9. 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.
    10. 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.
    11. Yu Zhai & Xu Zhao & Zhifeng Dong, 2022. "Research on Performance Optimization of Gravity Heat Pipe for Mine Return Air," Energies, MDPI, vol. 15(22), pages 1-14, November.
    12. 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.
    13. Ma, Xiaoli & Zhao, Xudong & Zhang, Yufeng & Liu, Kaixin & Yang, Hui & Li, Jing & Akhlaghi, Yousef Golizadeh & Liu, Haowen & Han, Zhonghe & Liu, Zhijian, 2022. "Combined Rankine Cycle and dew point cooler for energy efficient power generation of the power plants - A review and perspective study," Energy, Elsevier, vol. 238(PA).
    14. Cui, Haijiao & Li, Nianping & Wang, Xinlei & Peng, Jinqing & Li, Yuan & Wu, Zhibin, 2017. "Optimization of reversibly used cooling tower with downward spraying," Energy, Elsevier, vol. 127(C), pages 30-43.
    15. Farmahini-Farahani, Moien & Delfani, Shahram & Esmaeelian, Jafar, 2012. "Exergy analysis of evaporative cooling to select the optimum system in diverse climates," Energy, Elsevier, vol. 40(1), pages 250-257.
    16. 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.
    17. 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.
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    19. Goudarzi, Mohammad Ali, 2013. "Proposing a new technique to enhance thermal performance and reduce structural design wind loads for natural drought cooling towers," Energy, Elsevier, vol. 62(C), pages 164-172.

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