摘要
The central air conditioning system in an intelligent building (IB) was analyzed and modeled in order to perform the optimization scheduling strategy of the central air conditioning system. A set of models proposed and a type of periodically autoregressive model (PAR) based on the improved genetic algorithms (IGA) were used to perform the optimum energy saving scheduling. The example of the Liangmahe Plaza was taken to show the effectiveness of the methods.
为了对智能大厦的中央空调系统进行优化调度和节能管理 ,对该系统进行了节能分析与建模 .并以一个实际系统为例 ,利用该模型和基于遗传算法的周期自回归模型 (PARM)得出中央空调设备的优化运行策略 .
基金
NationalNaturalSciencesFoundation ( 6 99350 2 0 )
