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Optimization for Circulating Cooling Water Distribution of Indirect Dry Cooling System in a Thermal Power Plant under Crosswind Condition with Evolution Strategies Algorithm

Author

Listed:
  • Zhao Li

    (Key Laboratory of Power Station Energy Transfer Conversion and System, School of Energy, Power and Mechanical Engineering, North China Electric Power University, Ministry of Education, Beijing 102206, China)

  • Huimin Wei

    (Key Laboratory of Power Station Energy Transfer Conversion and System, School of Energy, Power and Mechanical Engineering, North China Electric Power University, Ministry of Education, Beijing 102206, China)

  • Tao Wu

    (Key Laboratory of Power Station Energy Transfer Conversion and System, School of Energy, Power and Mechanical Engineering, North China Electric Power University, Ministry of Education, Beijing 102206, China)

  • Xiaoze Du

    (Key Laboratory of Power Station Energy Transfer Conversion and System, School of Energy, Power and Mechanical Engineering, North China Electric Power University, Ministry of Education, Beijing 102206, China)

Abstract

Crosswind has an adverse impact on the performance of an indirect dry cooling system. In order to mitigate the adverse influence, this study redistributed the circulating cooling water among air-cooled heat exchanger sectors so that the performance of the indirect dry cooling system could be improved. An evolution strategies algorithm combined with numerical effectiveness-based heat exchanger model was established to minimize the operation costs of the whole system. Based on a 660 MW practical power plant, optimal circulating cooling water operation strategies under varied crosswind speeds and ambient temperatures were calculated to show its application. According to the calculated results, the performance of the indirect dry cooling system could be enhanced by optimizing circulating cooling water distribution under any crosswind speed, especially under high ambient wind speeds. There is a slight promotion of the coal savings with a rise in ambient temperature: improvements of about 5%. The standard coal consumption rate could save as much as 2.50 g/kWh under crosswind speed of 10 m s −1 and ambient temperature of 32 °C, compared to the 0.1 g/kWh under crosswind speed of 2 m s −1 and ambient temperature of 32 °C.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:1167-:d:503775
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    References listed on IDEAS

    as
    1. Wang, Weiliang & Zhang, Hai & Li, Zheng & Lv, Junfu & Ni, Weidou & Li, Yongsheng, 2016. "Adoption of enclosure and windbreaks to prevent the degradation of the cooling performance for a natural draft dry cooling tower under crosswind conditions," Energy, Elsevier, vol. 116(P2), pages 1360-1369.
    2. Zhao, Yuanbin & Sun, Fengzhong & Li, Yan & Long, Guoqing & Yang, Zhi, 2015. "Numerical study on the cooling performance of natural draft dry cooling tower with vertical delta radiators under constant heat load," Applied Energy, Elsevier, vol. 149(C), pages 225-237.
    3. 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.
    4. 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.
    5. Wang, Weiliang & Zhang, Hai & Liu, Pei & Li, Zheng & Lv, Junfu & Ni, Weidou, 2017. "The cooling performance of a natural draft dry cooling tower under crosswind and an enclosure approach to cooling efficiency enhancement," Applied Energy, Elsevier, vol. 186(P3), pages 336-346.
    6. Abad, A. & Elipe, A., 2018. "Evolution strategies for computing periodic orbits," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 146(C), pages 251-261.
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