Measurement and CFD modelling of IAQ indexes.

So as to better understand and predict IAQ problems, the velocity field and distribution of local mean age of air were determined experimentally with three-dimensional anemometry and decaymode tracer gas measurements inside a classroom. We also performed 3-D numerical simulations of the velocity field in this room, using a CFD code. The time dependent concentration decay of tracer gas was simulated using the previously determined flow field in the pollutant transport equation. Relatively good agreement was found between the simulated and experimental concentration decay curves. From those curves, a map of local mean age of air was built, allowing us to quantify the ventilation efficiency in the classroom. Our analyses show that the use of a CFD code to quantify air quality indices and/or to identify indoor air quality issues can be of particular interest for design and diagnostic of sensitive areas with regard to IAQ problems.