基于决策树算法的冷冻水系统优化运行研究

Research on the Optimized Operation of Chilled Water System Based on Decision Tree Algorithm

以四川省成都市某办公建筑空气源热泵中央空调系统为研究对象,针对冷冻水系统制定夏季供冷工况下变冷冻水供水温度与变冷冻水流量相耦合的优化运行策略。首先依据运行数据确定出建筑负荷的主要影响因素;其次结合影响因素依据建筑负荷建立决策树算法,将系统运行工况分为7类;最后整理出每种分类工况下空调系统能效COPsys的分布情况,并以COPsys最高时对应的冷冻水供水温度和冷冻水泵设定频率作为该工况下最佳设定参数。结果表明:以上一年度的运行条件为基准,使用该运行策略在保证室内环境舒适度要求的前提下,夏季可以节约33%左右的电量,有效提升了中央空调系统的运行效率。

This paper took the air source heat pump central air-conditioning system of an office building in Chengdu,Sichuan Province,as the research object and formulated the optimized operation strategy of coupling the variable chilled water supply temperature with the variable chilled water flow under the cooling condition in summer.Firstly,according to the operating data,the paper determined the main influencing factors of building load.Secondly,based on the influence factors,a decision tree algorithm was established to divide the system's operating conditions into seven categories.Finally,the distribution of COPsys energy efficiency of the air conditioning system under each classification condition was sorted out.Meanwhile,the chilled water supply temperature corresponding to the highest COPsys and the set frequency of the chilled water pump were taken as the best setting parameters under this condition.The results showed that,based on the operating conditions of the previous year,using this operation strategy can save about 33%of the electricity in summer under the premise of ensuring the indoor environment comfort requirements and effectively improving the operating efficiency of the central air conditioning system.