The effect of source motion on contaminant distribution in the cleanrooms

Abstract In the recent decades, cleanrooms have found growing applications in broad range of industries such as pharmacy and microelectronics. Concerns about negative effects of the contaminant exposure on the human health and product quality motivate many researchers towards understanding of the airflow and contaminant distribution though these environments. With an improvement in computational capacity of the computers, computational fluid dynamics (CFD) technique has become a powerful tool to study the engineering problems including indoor air quality (IAQ). In this research, indoor airflow in a full-scale cleanroom is investigated numerically using Eulerian–Eulerian approach. To evaluate the ventilation system effectiveness, a new index, called final efficiency, is introduced which takes all aspects of the problem into account. The results show that the contaminant source motion and its path have a great influence on the contaminant dispersion through the room. Based on the results, the contaminant distribution indexes, e.g. final efficiency and spreading radius, are improved when the source motion path is in the dominant direction of the ventilation airflow. Consequently, the efficiency of an air distribution system which provides a directional airflow pattern shows the least source path dependency. This study and its results may be useful to gain better understanding of the source motion effects on the indoor air quality (IAQ) and to design more effective ventilation systems.

[1]  Qingyan Chen,et al.  Control of Airborne Particle Concentration and Draught Risk in an Operating Room , 1992 .

[2]  S. Kato,et al.  New ventilation efficiency scales based on spatial distribution of contaminant concentration aided by numerical simulation , 1988 .

[3]  Yang-Cheng Shih,et al.  Dynamic airflow simulation within an isolation room , 2006, Building and Environment.

[4]  Derek Dunn-Rankin,et al.  Using numerical simulation to predict ventilation efficiency in a model room , 1998 .

[5]  Yanming Kang,et al.  Effects of ventilation strategies and source locations on indoor particle deposition , 2010 .

[6]  Adrian Bejan,et al.  Removal of contaminant generated by a discrete source in a slot ventilated enclosure , 1992 .

[7]  M. Sandberg What is ventilation efficiency , 1981 .

[8]  Ye Yao,et al.  Optimization on indoor air diffusion of floor-standing type room air-conditioners , 2008 .

[9]  C. Méndez,et al.  Optimization of a hospital room by means of CFD for more efficient ventilation , 2008 .

[10]  C C Federspiel,et al.  Air-change effectiveness: theory and calculation methods. , 1999, Indoor air.

[11]  Hazim B. Awbi,et al.  Effect of internal partitioning on indoor air quality of rooms with mixing ventilation—basic study , 2004 .

[12]  D. Spalding,et al.  A calculation procedure for heat, mass and momentum transfer in three-dimensional parabolic flows , 1972 .

[13]  Kai Sirén,et al.  Influence of the floor-based obstructions on contaminant removal efficiency and effectiveness , 2002 .

[14]  B. Launder,et al.  The numerical computation of turbulent flows , 1990 .

[15]  Suh-Jenq Yang,et al.  A numerical investigation of effects of a moving operator on airflow patterns in a cleanroom , 2002 .

[16]  Qingyan Chen COMPARISON OF DIFFERENT k-ε MODELS FOR INDOOR AIR FLOW COMPUTATIONS , 1995 .