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  • 标题:Design configurations analysis of wind-induced natural ventilation tower in hot humid climate using computational fluid dynamics
  • 本地全文:下载
  • 作者:Chin Haw Lim ; Omidreza Saadatian ; Kamaruzzaman Sopian
  • 期刊名称:Intl Jnl of Low-Carbon Technologies
  • 印刷版ISSN:1748-1317
  • 电子版ISSN:1748-1325
  • 出版年度:2015
  • 卷号:10
  • 期号:4
  • 页码:332-346
  • DOI:10.1093/ijlct/ctt039
  • 语种:English
  • 出版社:Oxford University Press
  • 摘要:Wind-induced natural ventilation tower is one of the effective devices in enhancing indoor air quality. It can be designed and integrated as part of building components. This paper investigates the performance of various design configurations of a wind-induced natural ventilation tower with the focus on Venturi-shaped roofs and towers. The Venturi-shaped roofs and towers are used to create negative pressure in order to enhance the extraction air flow rates of the wind-induced natural ventilation tower. The computational fluid dynamics (CFD) method is used to analyse each of the design configurations. The different design configurations are based on roof tilt angles, roofs' shapes, tower heights and shapes of the wind-induced natural ventilation tower. The parameters analysed are extraction air flow rates and air flow pattern. Based on the CFD simulation results of various design configurations, the ‘biconcave’-shaped wind tower has the best design configuration with 14 568.66 m3/h extraction air flow rates at 0.8 m/s external wind velocity.
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