In order to achieve a satisfactory level of hygiene and comfort in ventilated premises and to assess the pollutant transfers, it is necessary to control the air flow distribution. An intermediate approach between predictive numerical simulations and experimental determinations of aerodynamic parameters characterizing air distribution in rooms, is constituted by the systemic approach. This article presents the main principles of this approach, which is based on the residence time distribution (RTD) theory, commonly used in chemical engineering, and gives an illustration of its potential extension to ventilation problems. The aim of the IDTS code developed is to build a model from a combination of elementary systems representing basic ideal flow patterns (perfect mixed flow, plug flow,…). The adjustment of the model lies in the comparison of the response to a stimulus injected into the model with an experimental tracer emission performed in a ventilated room inlet. The general solving strategy adopted, consisting in a two-level dissociated treatment of parametric identification and structural identification of models, is first presented. Then, two problems tackled during the qualification step of the IDTS code are presented to illustrate the applications of this computer-aided design tool for the description and the quantification of air flow patterns and the associated pollutant transfers observed in ventilated indoor spaces, and particularly in nuclear ventilation networks. The comparison between experimental residence time distribution curves recorded in two ventilated laboratory enclosures and the simulated ones shows good agreement. For the last illustrative problem, a comparison with results obtained from a computational fluid dynamics tool has been performed.