Study On Window-opening Behavior Based On Grey Prediction Method Illustrated By The Example Of A University Building In Hangzhou

Opening doors and windows is a basic method to control indoor air,and it is most commonly used method of building ventilation,opening windows and doors can be timely and effectively to improve air flow and indoor air quality,indoor humidity and thermal comfort.Studying of human windowing behavior is of great significance because open windows are more commonly used than the door.The behavior of opening and closing windows is affected by many factors,such as temperature,humidity and quality of indoor air.It also makes the window opening and closing behavior become more random and indeterminate.The deterministic solution of the random problem and the solution obtained by the approximate method are not accurate enough,it makes the study of window opening behavior more difficult and complicated.In order to study the window opening behavior of office staff in Hangzhou area,the instructor team invented a measuring device for building energy behavior.The device can measure indoor and outdoor temperature and humidity,activity status of the room and wind speed,which opening degree are more detailed record of the opening distribution of 0% to 100% of 5 opening states.The experimental testing time lasted two years from 2013 to 2015,measuring a large number of data which may have impacts on the experimental data.Then summarizing the experimental data and using the multiple factor analysis of variance method of SPSS software to analyze the factors which are most likely to have an impact,the most significant factors affecting the window-opening behavior is the outdoor temperature,wind speed and indoor humidity on window-opening behavior is not obvious.The outdoor temperature on the window-opening behavior has the most significant effect,establish GPBW prediction model by using grey prediction method,then introduce a factor of outdoor temperature.Calculating the value of prediction degree corresponding value of original opening degree,then using descriptive statistics and correlation test,verified the accuracy of prediction model,proved the practicability of GPBW model.