Over the years there has been significant advance in the development of experimental methods and analysis for the use of tracer gases in the evaluation of ventilation systems. As a rule, these advances have been in the direction of greater complexity and more sophisticated data analysis methods. Most of these advances are difficult for buildings researchers to understand, not to mention the confusion they have created for practitioners.
This paper describes the application of numerical models to predict the ventilation rate and internal air movement patterns for a naturally ventilated industrial building and compares the results with measured data. Two modelling techniques have been employed. Firstly, a zonal network model (HTBVent), using leakage area data derived from fan pressurisation measurements, was used to predict the time varying ventilation rate in response to variations in wind velocity and internal-external air temperature difference.
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