Comparison of six CFD models for room airflow study with PIV measurement data

Yigang Sun, Zhongchao Tan, Yuanhui Zhang, Lingying Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Indoor airflow significantly influences the spatial distribution of indoor contaminants, and thus the health and comport of room occupants. Numerical simulation based on computational fluid dynamics (CFD) is considered a relatively convenient method in room airflow research. Several numerical models have been developed for different applications. There is little agreement that has been reached yet on a more acceptable CFD model due to the multitude and variability of variables affecting the room airflow. A lack of experimental data for CFD model development is another bottleneck in this area. In this paper, airflow in a full-scale room was modeled using six different CFD models and the results were compared with experimental data obtained using particle image velocimetry technology. The results indicated that the RNG k-ε model would be preferred for predicting the airflow in a full-scale room over the other models.

Original languageEnglish (US)
Title of host publicationASAE Annual International Meeting 2004
Number of pages21
StatePublished - 2004
EventASAE Annual International Meeting 2004 - Ottawa, ON, Canada
Duration: Aug 1 2004Aug 4 2004


OtherASAE Annual International Meeting 2004
CityOttawa, ON


  • Airflow
  • Computational fluid dynamics (cfd)
  • Full-scale room
  • PIV

ASJC Scopus subject areas

  • General Engineering


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