Abstract
In recent years, especially in winter, the concentration of outdoor PM2.5 in large areas of China remains at a high level. The research shows that there is a strong positive correlation between indoor and outdoor air quality. The premise of effective prediction of indoor air quality is to ensure accurate infiltration simulation model. In this study, the long-term indoor and outdoor PM2.5 concentration of an apartment and the outdoor meteorological condition have been monitored. Combined with the Airflow Network module in EnergyPlus, the infiltration and the indoor air quality caused by the infiltration are studied. The results show that for different rooms in the apartment, the infiltration rates are different because of the characteristics of envelope and the meteorological parameters. The infiltration rate of the Second lie ranges from 0.05 to 0.3h-1, while that of the master bedroom ranges from 0.2 to 0.6h-1. The change of infiltration rate caused by different wind directions is not so obvious, while that caused by different wind speed is quite different.
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