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Entransy analysis optimization of cooling water flow distribution in a dry cooling tower of power plant under summer crosswinds

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  • Wei, Huimin
  • Wu, Tao
  • Ge, Zhihua
  • Yang, Lijun
  • Du, Xiaoze

Abstract

The performance of natural draft dry cooling tower (NDDCT) of a coal-fired power generating unit is susceptible to ambient conditions, such as natural wind and temperature. An approach was proposed to relieve the adverse effects of ambient wind, which was the optimization of waterside flow re-distribution among heat exchangers of NDDCT under natural wind. With the help of entransy balance equations that described the heat transfer processes in each heat exchanger sector and condenser, all 20 influencing factors were considered to establish the optimization mathematical model of whole system, including both of the steam turbine subsystem and dry cooling system. A practical 660 MW dry cooling supercritical power generating unit was selected as object. The flow and heat transfer of NDDCT by natural wind effect were obtained numerically with verification. The results indicated that the performance of NDDCT could be improved by optimal distribution of waterside flow rate among the heat exchangers at any wind speed, especially at high wind speed. The comprehensive saving of power output coal consumption could be acquired although the pump power would raise by optimal water flow distribution. The decrease of coal consumption could reach 0.74 g/kWh at the natural wind speed of 12 m/s.

Suggested Citation

  • Wei, Huimin & Wu, Tao & Ge, Zhihua & Yang, Lijun & Du, Xiaoze, 2019. "Entransy analysis optimization of cooling water flow distribution in a dry cooling tower of power plant under summer crosswinds," Energy, Elsevier, vol. 166(C), pages 1229-1240.
    • Handle: RePEc:eee:energy:v:166:y:2019:i:c:p:1229-1240
    DOI: 10.1016/j.energy.2018.10.151
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    References listed on IDEAS

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    Cited by:

    1. Wei, Huimin & Huang, Xianwei & Chen, Lin & Yang, Lijun & Du, Xiaoze, 2020. "Performance prediction and cost-effectiveness analysis of a novel natural draft hybrid cooling system for power plants," Applied Energy, Elsevier, vol. 262(C).
    2. Qian Huang & Yifan Zhi & Rongyong Zhang & Huimin Wei & Lei Xu, 2022. "Comprehensive Comparison of Hybrid Cooling of Thermal Power Generation with Airside Serial and Parallel Heat Exchange," Energies, MDPI, vol. 15(17), pages 1-28, September.
    3. Pengbang Wei & Yufang Peng & Weidong Chen, 2022. "Climate change adaptation mechanisms and strategies of coal-fired power plants," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(8), pages 1-22, December.
    4. Sha Liu & Jiong Shen, 2022. "Modeling of Large-Scale Thermal Power Plants for Performance Prediction in Deep Peak Shaving," Energies, MDPI, vol. 15(9), pages 1-18, April.
    5. Zhao Li & Huimin Wei & Tao Wu & Xiaoze Du, 2021. "Optimization for Circulating Cooling Water Distribution of Indirect Dry Cooling System in a Thermal Power Plant under Crosswind Condition with Evolution Strategies Algorithm," Energies, MDPI, vol. 14(4), pages 1-17, February.
    6. Wu, Tao & Ge, Zhihua & Yang, Lijun & Du, Xiaoze, 2019. "Modeling the performance of the indirect dry cooling system in a thermal power generating unit under variable ambient conditions," Energy, Elsevier, vol. 169(C), pages 625-636.
    7. 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).
    8. Kong, Yanqiang & Wang, Weijia & Yang, Lijun & Du, Xiaoze, 2020. "Energy efficient strategies for anti-freezing of air-cooled heat exchanger," Applied Energy, Elsevier, vol. 261(C).

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