论文部分内容阅读
从系统工程的角度分析了智能大厦中央空调系统在运行过程中的能耗问题 ,建立了中央空调系统能耗模型 ,提出了中央空调系统的优化运行与节能管理方法 .通过离线预测和在线优化计算 ,得到机组次日优化运行策略 ,包括机组负荷在一天内各个时段的最优分配、最优蓄冷量、最佳释冷时间等 .在最优策略指导下进行在线控制 ,通过在线实时采集数据 ,利用基于遗传算法的周期自回归模型 (PARM )进行动态短期空调冷负荷预测 ;利用改进随机编码遗传算法实现中央空调日运行模型的求解 ,得出中央空调设备优化运行策略 .实例计算结果表明 :用此方法可使中央空调系统节能达 2 4 5 %左右
From the perspective of system engineering, this paper analyzes the energy consumption of the central air-conditioning system in the intelligent building during operation, establishes the energy consumption model of the central air-conditioning system, and puts forward the optimal operation and energy-saving management methods of the central air-conditioning system.Through offline prediction and online optimization calculation , The optimized operation strategy of the next day was obtained, including the optimal allocation of unit load in each time of day, the optimal cold storage capacity, the optimal release time, etc. On-line control under the optimal strategy, through real-time online data collection, The dynamic short-term air-conditioning cooling load forecasting is carried out by the periodic autoregressive model (PARM) based on genetic algorithm. The improved random-coded genetic algorithm is used to solve the daily operation model of central air conditioning system, and the optimal operation strategy of the central air conditioning equipment is obtained. This method can make the central air conditioning system energy savings of about 2 4 5%