摘要：For reducing the energy consumption in buildings, each country strengthened the standard of insulation without the standard of ventilation. However, because of it, sick building syndrome has occurred. Accordingly, the importance of ventilation in building has been increased to reduce the polluted indoor air and promote the better Indoor Air Quality. The previous study has only focused on the window opening behaviour and developed the machine learning algorithm of window opening. However, it is the ventilation rates that affects Indoor Air Quality. Therefore, in this study, the ventilation rates was derived from carbon dioxide decay method. From this ventilation behaviour, occupants are not only controlling their indoor environment, but also making the ventilation load in their building.
