基于多元线性回归方法的高校宿舍建筑能耗分析
孙 晴1,李明海2,鲁 娟1,刘 敏3

(1.西安建筑科技大学 建筑设计研究院,陕西 西安 710055; 2. 西安建筑科技大学 信控学院,陕西 西安 710055; 3.安徽农业大学 总务处,安徽 合肥,230036)

高校宿舍; 多元线性回归; DeST; 能耗分析

Energy consumption analysis of college dormitory building based on multiple linear regression method
SUN Qing1, LI Minghai2, LU Juan1, LIU Min3

(1.Institute of Architecture Design,Xi'an Univ. of Arch. & Tech., Xi'an 710055, China;2.School of Information and Control Engineering, Xi'an Univ. of Arch. & Tech.,Xi'an 71005, China; 3.Office of General Services, Anhui Agricultural University, Hefei 230036, China)

college dormitory; multiple linear regression; DeST; energy consumption analysis

DOI: 10.15986j.1006-7930.2018.06.024

备注

为了分析高校宿舍能耗的潜在因素,通过DeST软件建立六层宿舍的简易模型,模拟得到了全年的逐时温度、湿度、总辐射、建筑总能耗、照明电耗、设备电耗、给排水电耗数据,并采用SPSS 22统计软件对数据分析,建立了建筑总能耗与给排水、照明和设备电耗的多元线性回归方程.实验结果表明,该模型拟合较好,宿舍总能耗与给排水、照明和设备电耗的简单相关系数依次是0.872、0.693和0.65,与温度、湿度、总辐射的线性关系不明显,该研究为高校管理者对宿舍能耗预测与管理提供了手段.

In order to analyze the potential factors of college dormitory energy consumption, we build a simple model of the six layer dormitory by DeST software.Through the simulation, we obtain the hourly data of temperature,humidity,total radiation,total building energy consumption,lighting,equipment and water power consumption of the dormitory model.Then we use SPSS 22 statistical software to analyze the data and establish a multiple linear regression equation of the total building energy consumption and water,lighting and equipment power consumption.Experimental results show that the model fits better, the simple correlation coefficients between the dormitory total energy consumption and water,lighting and equipment power consumption are 0.872, 0.693 and 0.65,while the simple correlation coefficients between the dormitory total energy consumption and temperature,humidity,total radiation are not obvious.This study provides a means for university administrators to predict and manage the dormitory energy consumption.