针对多区域变风量空调系统 ,从系统的层次上综合考虑其运行特性、室内热舒适性和室内空气品质 ,提出了一个系统的在线能量优化管理和控制方案 .它采用基于物理模型的自适应在线仿真器来预测系统的变化响应 ,并应用模型参数的在线辨识以及模型的自校正技术 ,以基因遗传算法为优化方法在线优化下位机控制器的设计值 ,从而达到优化系统控制的目的 .与传统的固定设定控制方案在仿真程序中进行测试和比较表明 ,它在保证室内舒适性的同时 ,能够使系统节能 Aiming at the multi-area VAV air conditioning system, a systematic on-line energy optimization management and control scheme is proposed considering the operating characteristics, indoor thermal comfort and indoor air quality at the system level. It adopts a physical model-based adaptive online Simulator to predict the change of system response, and apply the online identification of model parameters and model self-tuning technology to optimize the design value of lower computer controller by genetic algorithm optimization method, so as to achieve the purpose of optimizing system control. The fixed set control program in the simulation program for testing and comparison shows that it ensures indoor comfort at the same time, the system can save energy