Annals of Occupational Hygiene Advance Access published online on August 11, 2009
Annals of Occupational Hygiene, doi:10.1093/annhyg/mep057
CFD Simulation of Contaminant Decay for High Reynolds Flow in a Controlled Environment
1 Department of Mechanical and Industrial Engineering, University of Iowa, 3100 Seamans Center for the Engineering Arts and Sciences, Iowa City, IA 52242, USA
2 Department of Environmental and Occupational Health, University of Iowa, Health Protection Office, 122 Grand Avenue Court, Iowa City, IA 52242, USA
3 Department of Environmental and Occupational Health, University of Iowa, 137 IREH, Oakdale Campus, Iowa City, IA 52242, USA
* Author to whom correspondence should be addressed. Tel: +(712) 251-7946; fax: +1-319-335-1527; e-mail: andrew-lambert{at}uiowa.edu
This study examines the usage of computational fluid dynamics (CFDs) for estimating the time-elapsed decay of contaminants within a chamber experiencing high Reynolds flow. CFD results were compared with measurements taken at a controlled facility. In addition, parameters of the CFD simulation were examined; namely the effects of turbulence and inertial transport at high Reynolds number ventilating flows, as well as inlet duct configuration and its effect on the inlet velocity profile. The agreement between the computational and experimental clearance times was quite good, with percent errors as low as –5.32% at high flow rate and –11.8% at the lower flow rate. This study determined that for high Reynolds flow, diffusive transport effects may be ignored as the majority of mass is transported via the bulk stream, i.e. momentum transport. In addition, resolving the inlet velocity profile was of prime importance for accurate simulation of ventilating flows and prediction of contaminant washout. This was done by including the inlet duct geometry in the computational domain. In addition, it was found that despite different flow rates, the predicted contaminant washout took
12–13% longer than predicted assuming instantaneous mixing. Furthermore, percent error between computational and experimental data as low as –5.32% shows that CFD is a useful tool for studying ventilation phenomena.
carbon dioxide computational fluid dynamics contaminant transport indoor air quality Reynolds number species decay
Received February 18, 2009; in final form July 8, 2009