某办公建筑空调运行控制策略分析

Analysis on Operation Control Strategy of Air Conditioning in an Office Building

目前数据挖掘技术在建筑领域的应用越来越广泛,主要应用于建筑运行系统异常诊断、建筑负荷预测等方面。主要内容为利用数据挖掘以及软件模拟来对某办公建筑空调系统的运行控制策略进行分析,通过数据预处理对缺失数据挖掘填补;利用K-means算法对实际运行数据聚类,判断该系统实际的运行控制策略;利用Trnsys软件模拟该办公楼的夏季空调系统,分别分析地埋管直供系统运行时间为全天24h与每日08:00-22:00的耗电量,对夏季空调模拟系统的两种运行策略做经济性分析。

At present, the application of data mining technology in the field of architecture is more and more extensive, mainly used in the abnormal diagnosis of building operation system and building load forecasting. The main content of this paper is to use data mining and software simulation to analyze the operation control strategy of an office building air-conditioning system, and fill in the missing data through data pre-processing. The K-means algorithm is used to cluster the actual running data to determine the actual running control strategy of the system. The Trnsys software was used to simulate the summer air conditioning system of the office building, and the power consumption of the buried pipe direct supply system was analyzed 24 hours a day and 8:00-22:00 daily, for the summer air conditioning simulation system. Two operational strategies are used for economic analysis.