요약2 |
The objective of this study is to develop prediction model of indoor carbon dioxide concentration using indoor and HAVC system information. Recently, as the height of the buildings has increased, window for ventilation is reducing. indoor air quality maintain by relying on mechanical ventilation. High indoor carbon dioxide concentration causes drowsiness, ennui, dizziness, and severe cases that is harmful to the health. Therefore, the indoor carbon dioxide concentration maintain at certain level(less than 1000 ppm). In many building, measure of indoor carbon dioxide concentration is using measuring equipment. but, there is many problem to install equipment like expensive cost, poor accuracy. In this study, prediction model develop using interaction formula of supply air rate and supply carbon dioxide concentration, formula of generated carbon dioxide concentration and indoor carbon dioxide concentration. The result of this study show that gap of measuring carbon dioxide concentration and predicted carbon dioxide concentration is 2%. |