Evaluation of air change rates for estimating particle dispersion on a reduced scale model

Abstract

Abstract Similarity between a model and a prototype is important for scale model experimental studies. Proper scaling by considering similarity parameters can lead to valuable results. The objective of this study is to investigate dispersion of fine particles under different air change rates by experimental and numerical techniques. Experimental studies are performed on a 1:5 reduced scale model. Similarity parameters are considered for kinematic and particle dispersion similarities. The RNG k – ε turbulence model is used in the numerical predictions. It is shown that the average room and outlet concentrations get similar values with the removal of accumulation as the air velocity increases. Moreover, it is disclosed that the advantages of the increasing air change rates may have limits in reducing contaminant level.