基于数据挖掘的地源热泵系统性能测试和分析  

Performance Test and Analysis of Ground Source Heat Pump System based on Data Mining

作　　者：黄新江 刘成刚 HUANG Xin-jiang;LIU Cheng-gang(School of Environmental Science and Engineering,Suzhou University of Science and Technology,Suzhou,China,215009)

机构地区：[1]苏州科技大学环境科学与工程学院,江苏苏州215009

出　　处：《热能动力工程》2020年第3期181-186,共6页Journal of Engineering for Thermal Energy and Power

摘　　要：以苏州市某办公楼地源热泵系统全年监测数据为基础数据,分析了地源热泵系统动态运行特性,并运用随机森林模型,探讨了夏季、冬季两种工况下各运行参数对预测机组性能系数的重要性。结果表明:该系统夏季机组平均性能系数为3.92,冬季机组平均性能系数为4.15,对机组性能系数影响最大的3个运行参数分别是部分负荷率、地源侧回水温度和用户侧回水温度。随机森林模型适用于地源热泵系统性能系数预测并且预测精度较高。Based on the annual monitoring data of the ground source heat pump system in an office building in Suzhou,the dynamic operation characteristics of the ground source heat pump system are analyzed,and the importance of each operating parameter in predicting the unit coefficient of performance under two kind of working conditions is discussed by using the random forest model.The results show that the average unit coefficient of performance is 3.92 in summer and 4.15 in winter.Partial load rate,backwater temperature at the ground source side and backwater temperature at the user side are the three operating parameters that have the greatest influence on the unit coefficient of performance.The random forest model can be used to predict the coefficient of performance with high accuracy.

关 键 词：地源热泵 性能系数 随机森林 部分负荷率 运行特性 

分 类 号：TU83[建筑科学—供热、供燃气、通风及空调工程]