A model-based method for the integration of naturalventilation in indoor climate systems operation

This paper presents an in-situ calibrated model-based approach to treat natural ventilation as an integral element of the operation of the buildings' thermal systems. Specifically, the potential of statistically 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 insitu 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 integrated within a model-based control approach toward the operation of the buildings' ventilation systems.