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以广州某商场冷水机组系统为研究对象,根据机组全年运行数据,采用最小二乘法对机组能效模型的参数进行辨识,建立了各台冷水机组运行能效模型,并根据空调系统全年冷负荷分布特性,以冷水机组总能耗最小为目标,探讨了基于遗传算法的多台冷水机组负荷优化分配策略。对该商场夏季和过渡季节多台冷水机组优化运行策略进行了仿真实验,结果表明:与原有运行方式相比,夏季负荷率为50%~75%时,冷水机组优化运行后的能耗比原运行方式降低25.75%;过渡季节负荷率为25%~50%时,冷水机组优化运行后的能耗比原运行方式降低5.35%。
Taking a chiller system in a shopping mall in Guangzhou as the research object, according to the annual operation data of the unit, the least squares method was used to identify the parameters of the unit energy efficiency model, and the energy efficiency model of each chiller unit was established, and the cooling load distribution of the whole year was based on the air conditioning system. With the goal of minimizing the total energy consumption of chillers, the strategy of optimal load distribution of multiple chillers based on genetic algorithms is discussed. A simulation experiment was conducted on the optimal operation strategy of multiple chillers for the summer and transition seasons of the mall. The results show that the energy consumption ratio of the chillers after optimized operation is 50%~75% compared with the original operation mode. The original mode of operation was reduced by 25.75%; when the transitional season load rate was 25% to 50%, the energy consumption of the chiller units after optimal operation was 5.35% lower than the original mode of operation.