The simulation of indoor daylight glare based on the location
Because well-being and energy efficiency are both important issues in building, there is an increase need for comfort and energy saving. Some critical factors affecting them are still not clear. This paper firstly investigated the influence of the orientation of the window on indoor daylight glare. Secondly, the influence of longitude and latitude on indoor daylight glare, and the distribution of daylight glare in China by using K-Nearest Neighbor algorithm (KNN algorithm) were studied. Daylight Glare Probability (DGP) was used as glare evaluation index in the study. The results show that daylight glare is the most serious in the west and south, then in the east and the least in the north for the window of the room in different orientations. The glare gradually increases with the increase of the latitude of the cities at the same longitude. The effect of the longitude of the cities at the same latitude on glare has no specific linear relationship. We also get the glare situation of cities without meteorological files by investigating the distribution of daylight glare in China.