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A global optimization method for evaporative cooling systems based on the entransy theory

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  • Yuan, Fang
  • Chen, Qun

Abstract

Evaporative cooling technique, one of the most widely used methods, is essential to both energy conservation and environment protection. This contribution introduces a global optimization method for indirect evaporative cooling systems with coupled heat and mass transfer processes based on the entransy theory to improve their energy efficiency. First, we classify the irreversible processes in the system into the heat transfer process, the coupled heat and mass transfer process and the mixing process of waters in different branches, where the irreversibility is evaluated by the entransy dissipation. Then through the total system entransy dissipation, we establish the theoretical relationship of the user demands with both the geometrical structures of each heat exchanger and the operating parameters of each fluid, and derive two optimization equation groups focusing on two typical optimization problems. Finally, an indirect evaporative cooling system is taken as an example to illustrate the applications of the newly proposed optimization method. It is concluded that there exists an optimal circulating water flow rate with the minimum total thermal conductance of the system. Furthermore, with different user demands and moist air inlet conditions, it is the global optimization, other than parametric analysis, will obtain the optimal performance of the system.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:42:y:2012:i:1:p:181-191
    DOI: 10.1016/j.energy.2012.03.070
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    References listed on IDEAS

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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.
    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.
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    Citations

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    Cited by:

    1. 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.
    2. Zhang, Lun & Wei, Hongyang & Zhang, Xiaosong, 2017. "Theoretical analysis of heat and mass transfer characteristics of a counter-flow packing tower and liquid desiccant dehumidification systems based on entransy theory," Energy, Elsevier, vol. 141(C), pages 661-672.
    3. Xu, Yun-Chao & Chen, Qun, 2013. "A theoretical global optimization method for vapor-compression refrigeration systems based on entransy theory," Energy, Elsevier, vol. 60(C), pages 464-473.
    4. Xu, Yun-Chao & Chen, Qun & Guo, Zeng-Yuan, 2015. "Entransy dissipation-based constraint for optimization of heat exchanger networks in thermal systems," Energy, Elsevier, vol. 86(C), pages 696-708.
    5. Zhao, Lei & Cai, Wenjian & Ding, Xudong & Chang, Weichung, 2013. "Model-based optimization for vapor compression refrigeration cycle," Energy, Elsevier, vol. 55(C), pages 392-402.
    6. Janghorban Esfahani, I. & Yoo, C.K., 2013. "Exergy analysis and parametric optimization of three power and fresh water cogeneration systems using refrigeration chillers," Energy, Elsevier, vol. 59(C), pages 340-355.
    7. Chen, Yi & Yan, Huaxia & Yang, Hongxing, 2018. "Comparative study of on-off control and novel high-low control of regenerative indirect evaporative cooler (RIEC)," Applied Energy, Elsevier, vol. 225(C), pages 233-243.
    8. 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.
    9. Chen, Qun & Fu, Rong-Huan & Xu, Yun-Chao, 2015. "Electrical circuit analogy for heat transfer analysis and optimization in heat exchanger networks," Applied Energy, Elsevier, vol. 139(C), pages 81-92.
    10. Chen, Yi & Yang, Hongxing & Luo, Yimo, 2017. "Parameter sensitivity analysis and configuration optimization of indirect evaporative cooler (IEC) considering condensation," Applied Energy, Elsevier, vol. 194(C), pages 440-453.
    11. 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.
    12. Cui, X. & Islam, M.R. & Mohan, B. & Chua, K.J., 2016. "Theoretical analysis of a liquid desiccant based indirect evaporative cooling system," Energy, Elsevier, vol. 95(C), pages 303-312.
    13. Li, Tailu & Fu, Wencheng & Zhu, Jialing, 2014. "An integrated optimization for organic Rankine cycle based on entransy theory and thermodynamics," Energy, Elsevier, vol. 72(C), pages 561-573.
    14. Zhang, Lun & Liu, Xiaohua & Jiang, Yi, 2013. "Application of entransy in the analysis of HVAC systems in buildings," Energy, Elsevier, vol. 53(C), pages 332-342.

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