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冷水机组的序列控制方式对建筑能耗和室内热舒适有着显著的影响,如能对其进行自动识别和优化,对公共建筑节能具有重要的意义。从2008年开始,我国在全国范围内推行大型公共建筑的分项计量系统,冷热源系统的电耗是该系统的必要监测内容,该系统为自动识别冷水机组的启停策略提供了数据基础。因而,基于冷水机组的电耗数据,利用数据挖掘的算法来识别冷水机组序列启停方式的方法。该方法利用One R分类算法来实现对以建筑即时冷负荷为指标的冷水机组序列控制方式(Q-based)和以压缩机功率为指标的控制方式(P-based)这两者的区分。最后,通过对位于上海市的一栋建筑进行模拟实验来验证该算法的可行性。
The sequence control mode of chiller has a significant impact on building energy consumption and indoor thermal comfort. If it can be automatically identified and optimized, it will be of great significance for energy efficiency of public buildings. Since 2008, China has implemented a nationwide scale measurement system for large-scale public buildings. The power consumption of the hot and cold source system is the necessary monitoring content of the system. This system provides the data foundation for automatically identifying the start-stop strategy of chillers . Therefore, based on the chiller’s power consumption data, a data mining algorithm is used to identify the chiller start-stop method. This method uses the One R classification algorithm to distinguish between chiller Q-based and P-based compressor cooling as an indicator. Finally, the feasibility of this algorithm is verified by simulating a building in Shanghai.