变风量空调系统新风量的实时预测

在多区域变风量（Variable Air Volume，VAV）空调系统的新风控制中，现行的控制方案不可避免地遇到困难，使用预测的方法来实施前馈控制，对可能出现的扰动提前作出补偿将有可能改善目前多区域VAV空调系统的新风控制问题，ARIMA模型可以较准确地预测非稳态随机过程的时间序列，以季节性ARIMA模型为预测模型，在利用CO2浓度检测室内人数的基础上，对一大楼中各区域的新风要求进行了预测，结果表明，季节性的ARIMA模型可以很好地满足空调系统新风预测的要求。

Online Prediction of Outdoor Air for VAV Air Conditioning Systems

For outdoor air control of multi zone VAV systems, through the method of prediction, a feed forward control can offset the disturbance ahead of schedule, and then the performance of outdoor air control of multi zone VAV systems can be improved. ARIMA model can be used to predict the non stable time series with adequate precision. In this paper, a seasonal ARIMA model is used as the prediction model, and to predicate the outdoor air requirements of zones in a multi zone office building based on the method of occupancy detection with indoor and outdoor CO 2 concentrations. The results show that the seasonal ARIMA model is qualified for prediction of outdoor air control of VAV systems.