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F. Tahmasebi, M. Schuss, A. Mahdavi:
"Toward a systematic assessment of window operation models in buildings";
Talk: Indoor Air 2016 - The 14TH International Conference of Indoor Air Quality and Climate, Ghent, Belgium; 2016-07-03 - 2016-07-08; in: "Proceedings of the 14TH International Conference of Indoor Air Quality and Climate, Ghent, Belgium", J. Laverge, T. Salthammer, M. Stranger (ed.); ISAIQ - International Society of Indoor Air Quality and Climate, (2016).

Given the impact of inhabitants' presence and control actions on indoor environment, building performance simulation tools increasingly incorporate models of occupants' presence and behaviour to assess, among other things, building energy performance and indoor air quality. However, the use of occupant behaviour models in building performance simulation and their predictive potential in different contexts involves potentially detrimental uncertainties. To address this issue, the present contribution takes advantage of long-term observation of indoor and outdoor conditions together with high-resolution data on the frequency of window operation actions in an office space to systematically evaluate a number of widely referenced window operation models. For the specific office considered here, the results suggest that, without adjusting the models to the building under study, none of the models in their original form yield reasonable approximations of occupants' interactions with windows.

(no german version available) Given the impact of inhabitants' presence and control actions on indoor environment, building performance simulation tools increasingly incorporate models of occupants' presence and behaviour to assess, among other things, building energy performance and indoor air quality. However, the use of occupant behaviour models in building performance simulation and their predictive potential in different contexts involves potentially detrimental uncertainties. To address this issue, the present contribution takes advantage of long-term observation of indoor and outdoor conditions together with high-resolution data on the frequency of window operation actions in an office space to systematically evaluate a number of widely referenced window operation models. For the specific office considered here, the results suggest that, without adjusting the models to the building under study, none of the models in their original form yield reasonable approximations of occupants' interactions with windows.

Occupant behaviour, Window operation models, Model evaluation