A model-based approach to natural ventilation

This paper presents an in situ calibrated model-based approach to the control of natural ventilation in buildings. Specifically, the potential of empirically-based and numeric air flow models is explored as part of a hybrid building controls scheme. Toward this end, two case studies are described. In one case, the underlying predictive model is based on the statistical treatment of data obtained from a set of in situ measurements in a typical office space. In the second case, a multi-zone air flow model is used to predict the fresh air volume flows into the building interior. The resulting air flow models can be used as an integrated part of a control method for natural ventilation devices to predict the implications of alternative control options.