商场过渡季节中央空调冷源系统运行参数优化研究

Operating Parameters Optimization of Central Air-conditioning Cold Source System of Shopping Mall in the Transitional Season

针对夏热冬暖地区商场过渡季节空调系统运行特点,以广州某商场中央空调冷源系统为研究对象,提出各设备单元的能耗模型,根据空调实际运行数据,利用最小二乘方法对各模型的参数进行辨识,以冷源系统运行设备总能耗最小为目标,探讨基于遗传算法的中央空调冷源系统最佳运行参数值,并将优化的运行参数由动态变量来控制进行实验验证。结果表明:与原运行方式相比,参数优化运行方式下冷源系统节能率为7.07%。

In hot summer and warm winter area, aiming at the operating characteristics of the air-conditioning system of a shopping mall in the transitional season, taking the central air-conditioning cold source system of a shopping mall in Guangzhou as the research object, proposes the energy consumption model of the equipment unit, based on the actual running data of air-conditioning, identifies the parameters of each model by using the least squares method. On this basis, taking the minimum total energy consumption of central air-conditioning cold source system as the goal, obtains the optimum operating parameters of central air-conditioning cold source system based on the genetic algorithm, and the optimized operation parameters are controlled by the dynamic variables to verify the experiment results. The results show that： compared with the original operation mode, the energy saving rate of the cold source system of parameter optimized operation mode is about 7.07%.