Prediction of air flow distribution in rooms and associated pollutant transfers by the systemic approach.

The general strategy adopted in the development of a computational tool performing the identification of parametric models based on the Residence Times Distribution (Rm) theory is exposed. Two main aspects of the modelling procedure are presented: the structural discrimination of the various solution schemes, and the parameters estimation step. The structural model determination is solved by a stochastic procedure based on a Simulated Annealing algorithm, while the parametric identification is solved by a nonlinear deterministic procedure. An application example is proposed for the description and the quantification of the air flow patterns and the associated pollutant transfers observed in a ventilated room.