Numerical simulations of the natural ventilation design mix of elementary school classrooms

Hsin Hung Wu, Fu Jen Wang, Che Ming Chiang, Chi Ming Lai

Research output: Contribution to conferencePaperpeer-review


Most traditional elementary school classrooms here do not have air-conditioners and it often feel stuffy in classrooms located in the top floors. In addition, traditional classrooms widely have noise problem, so do the open educational classrooms. If the windows and doors are closed to reduce noise, it will result in the phenomenon of stuffiness, which largely prevents the external air entering the room. Therefore, it has become an urgent matter for building designers and educational administrators about how to solve the problem of ventilation as well as thermal comfort of elementary school classroom. CFD (Computational Fluid Dynamics) simulation method was conducted to investigate how the 6 natural ventilation design mix (Double Roof, CRSO (Covered Ridge with Sidewall Opening), roof ridge opening and window opening) influence indoor thermal environment at summer season and low outdoor wind-speed. Moreover, this research discussed how to use these designs to improve the natural ventilation efficiency of classroom. The results demonstrated that when collocating with Double Roof, roof ridge opening and CRSO, both ventilation efficiency and thermal comfort of the room are superior to other cases, no matter the room adapt staggered or conventional window layout. The staggered window openings can increase the buoyancy ventilation effect, compared with conventional window openings, they can increase the air change rate about 1.21 (1/h), equivalently increase by 1.5 times more.

Original languageEnglish
Number of pages5
Publication statusPublished - 2007
EventBuilding Simulation 2007, BS 2007 - Beijing, China
Duration: 2007 Sept 32007 Sept 6


OtherBuilding Simulation 2007, BS 2007

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Building and Construction
  • Architecture
  • Modelling and Simulation


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