Related Experiment Videos
Analysis of visitation frequency through particle tracking method based on LES and model experiment
1Institute of Industrial Science, University of Tokyo, Japan. kato@iis.u-tokyo.ac.jp
Indoor Air
|May 21, 2003
Summary
This study introduces Visitation Frequency (VF) and average staying time (Tp) to measure local ventilation efficiency. These metrics help understand contaminant concentration in specific room zones, improving indoor air quality assessments.
Area of Science:
- Environmental Engineering
- Fluid Dynamics
- Indoor Air Quality
Background:
- Non-uniform ventilation efficiency necessitates localized measurement indices.
- Local ventilation efficiency relates domain-averaged concentration to exhausted air concentration.
- Air age theory links room-averaged concentration to contaminant mean staying time.
Purpose of the Study:
- To introduce and analyze Visitation Frequency (VF) and average staying time per visitation (Tp) for local domain contaminant analysis.
- To clarify the mechanism of domain-averaged concentration formation using VF and Tp.
- To investigate the relationship between VF, Tp, and local purging flow rate.
Main Methods:
- Utilized particle tracking method based on Large Eddy Simulation (LES) results.
- Employed Computational Fluid Dynamics (CFD) with LES for flow field analysis.
- Validated LES predictions with a precise model experiment.
Main Results:
- VF is significantly influenced by the local domain's position within the room's flow field.
- Tp characterizes the flow pattern properties within the local domain.
- In the studied room model with one supply and one exhaust, VF was 5.70 when the local domain occupied half the room, decreasing with smaller domains.
Conclusions:
- VF and Tp provide insights into contaminant transportation and domain-averaged concentration mechanisms.
- These metrics are crucial for understanding local air exchange and contaminant removal efficiency.
- The study highlights the importance of spatial distribution in ventilation effectiveness.