Development of window opening models for residential building in hot summer and cold winter climate zone of China

Abstract

This study monitors the open/closed states of the windows in 16 residential apartments in representative cities of the hot summer and cold winter zone of China, along with outdoor air temperature, outdoor relative humidity and outdoor PM2.5 concentration in 2017, to investigate the window opening/closing behavior. Three window opening models are developed. All the models are validated by modeling a typical residential apartment to compare the predicted indoor CO2 concentration with monitored data. It is found that the window opening probability is negatively correlated to both outdoor PM2.5 concentration and outdoor relative humidity, and the probability of window opening reaches the peak value when the outdoor air temperature is 23.7 °C. In terms of season, the shortest window opening duration occurs in winter due to the cold outdoor air temperature and high outdoor PM2.5 concentration. Finally, by comparing the correlation between the measured date and simulation results of indoor CO2 concentration, this study provides an appropriate window opening model for reference.

Keywords

• Residential apartments
• Window opening model
• Logistic regression
• Hot summer and cold winter zone