Identification of Parameters in Building Concentration Dispersion Model

The aim of this work was to simulate the transport of pollutants in buildings. Focusing mainly on the presence of carbon dioxide, we resolved the airflow equations for two typical validation cases. These numerical results were compared to COMIS and CONTAM software, and they were used to evaluate the evolution of carbon dioxide concentration in different rooms. In order to obtain different parameters and filters of the proposed model, we used a statistical method based on Bayesian inference. This statistical adjustment allowed us to obtain a significant variation of contaminants in different cases. This tool seems to be a good candidate for the fitting of models.

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