Associating occupants' interaction with windows with air change rate --One case study

• Published in: Building and environment 2022-08, Vol.222, p.109387, Article 109387
• Main Authors: Liu, Shuwei, Jian, Yiwen, Liu, Jingjing, Guo, Ruimin, Zhu, Wenbo
• Format: Article
• Language: English
• Subjects: ACR; Dormitory; Dynamic nature; Kalman filter method; Occupants' interaction with windows; Probability of window opening
• ISSN: 0360-1323; 1873-684X
• DOI: 10.1016/j.buildenv.2022.109387

Air change rate (ACR) significantly influences the indoor thermal environment and indoor air quality. Moreover, as a matter of fact, ACR varies with time during natural ventilation. However, to date only a few studies have accounted for the dynamic ACR for the actual in-use buildings. To address this issue, a field measurement of outdoor/indoor environments and the window state was conducted in a dormitory in Beijing in spring, summer, and autumn. Transient Mass Balance Equation (TMBE) method associated with the extended Kalman filter (Hereinafter referred to as Kalman filter method) was adopted to obtain the dynamic results of the ACR. Then the correlations of outdoor/indoor environments with the ACR and the probability of window opening were investigated. The results confirm the validity of Kalman filter method for tracking the dynamic nature of natural ventilation in residential units, and further demonstrate that occupants' interaction with windows does not simply refer to opening/closing windows, but also refer to adjusting the extent of the window being open in response to occupants' ventilation needs. Therefore, in addition to the probability of window opening, ventilation needs, i.e., the dynamic ACR, as the underlying trigger for window opening behavior, should be used as an indispensable part of describing occupants' interaction with windows. This study provides a complete framework to describe occupants’ interactions with windows by combining the dynamic ACR and the probability of window opening. •Occupants' interaction with window includes opening window and adjusting its opening width.•Kalman filter method is validated for tracking the dynamic ACR in residential units.•The probability of window opening and the ACR are not always positively correlated.•In addition to window state, understanding the dynamic ACR is a necessary part.•This study expands the idea of natural ventilation research in residential units.