楼宇空调能量管理与控制系统的实时优化

On-Line Optimization of Energy Management and Control System for Central Air-Conditioning in Building System

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 。

Considering the operation performances of the system, indoor thermal comfort and indoor air quality with system approach, an on-line optimal strategy for energy management and control system (EMCS) was proposed for the multi-zone VAV air-conditioning system. In order to optimize the systems control, this strategy on-line optimizes and resets the set-points of local controllers using GA method. A physical model based on-line simulator was used to predict the performance of systems using the technique of parameter on-line identification and self-tuning. To validate the performance of this strategy, it was compared with the conventional strategy-constant set-points simulation tests. The results show that it can use less energy to maintain indoor comfort.