Towards A Comprehensive Model Of Window Control Behaviour: A Survey-based Investigation On Interdisciplinary Drivers In Danish Dwellings

Bridging the gap between predicted and real energy consumptions in buildings has become a crucial task in the building energy research community. In this context, numerous studies confirmed occupant behaviour to be a key driver of uncertainty that impacts building energy performance and environmental indoor conditions. In particular, occupant's action of window opening/closing has an important impact on building energy use and indoor environmental quality by changing the amount of fresh air to the building. However, most proposed approaches for modelling window control behaviour consider time-related factors and physical parameters such as indoor or outdoor environmental variables while less attention is paid to other influential factors such as psychological, social and contextual drivers or individual thermal comfort attitudes and preferences of the occupants. The aim of this paper was to model window opening behaviour by combining field measurements with survey-based information of 14 Danish town houses. In particular, in this study, individual thermal comfort attitudes and preferences of the occupants are introduced in a Bayesian network-based modelling.