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Adoption of enclosure and windbreaks to prevent the degradation of the cooling performance for a natural draft dry cooling tower under crosswind conditions

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  • Wang, Weiliang
  • Zhang, Hai
  • Li, Zheng
  • Lv, Junfu
  • Ni, Weidou
  • Li, Yongsheng

Abstract

Crosswind degrades the cooling performance of a natural draft dry cooling tower (NDDCT) by affecting the air flow field at the inlet and outlet and inducing complex vortices inside and outside the tower. The distribution of the vortices along the flow streams is found to be a key factor for the ventilation rate. The parameter of flow loss factor (FLF) is proposed to quantitatively identify the effect of the vortices and unbalanced flow on the ventilation rate. Approaches of the installations of windbreaks and enclosure on the cooling performance of the NDDCT are numerically studied. It is found that both approaches can individually reduce the size of the inner wall vortex, improving the flow field characteristics. However, they have different strengths in breaking up the side low pressure areas and reducing the swirling intensity of the mainstream vortices. Results show that the approaches of windbreaks and enclosure can effectively prevent the degradation of the cooling performance for the NDDCT in a wide crosswind velocity range, and their combination could nearly eliminates the negative effect of the crosswind.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:116:y:2016:i:p2:p:1360-1369
    DOI: 10.1016/j.energy.2016.07.102
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Li, Xiaoxiao & Gurgenci, Hal & Guan, Zhiqiang & Wang, Xurong & Duniam, Sam, 2017. "Measurements of crosswind influence on a natural draft dry cooling tower for a solar thermal power plant," Applied Energy, Elsevier, vol. 206(C), pages 1169-1183.
    2. Wei Yuan & Fengzhong Sun & Yuanbin Zhao & Xuehong Chen & Ying Li & Xiaolei Lyu, 2020. "Numerical Study on the Influence Mechanism of Crosswind on Frozen Phenomena in a Direct Air-Cooled System," Energies, MDPI, vol. 13(15), pages 1-18, July.
    3. Huiqian Guo & Yue Yang & Tongrui Cheng & Hanyu Zhou & Weijia Wang & Xiaoze Du, 2021. "Tower Configuration Impacts on the Thermal and Flow Performance of Steel-Truss Natural Draft Dry Cooling System," Energies, MDPI, vol. 14(7), pages 1-17, April.
    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. Mohan Liu & Lei Chen & Kaijun Jiang & Xiaohui Zhou & Zongyang Zhang & Hanyu Zhou & Weijia Wang & Lijun Yang & Yuguang Niu, 2021. "Investigation of Thermo-Flow Characteristics of Natural Draft Dry Cooling Systems Designed with Only One Tower in 2 × 660 MW Power Plants," Energies, MDPI, vol. 14(5), pages 1-18, February.
    7. 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.

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