ON A NOVEL APPROACH TO CONTROL NATURAL AND MECHANICAL NIGHT VENTILATION

The aim of the present work is to improve night ventilation control strategies, specially for the mid-season periods where an unadapted control scheme can result in undesirable heat loads. We present a method based on developing an adaptive algorithm suitable for different types of buildings having different thermal masses. The algorithm, mainly based on the history of outside and inside temperatures, is characterized by a set of parameters that we attempt to identify: a coefficient related to building time constant and a couple of fixed set-point temperatures. Results show that the adaptive algorithm was able toadapt to the mid-season period, thus preventing unwanted heat loads while preserving remarkable thermal comfort conditions.