[1]孙晴,李明海,鲁娟,等.基于多元线性回归方法的高校宿舍建筑能耗分析[J].西安建筑科技大学学报(自然科学版),2018,50(06):919-924.[doi:10.15986/j.1006-7930.2018.06.024]
　SUN Qing,LI Minghai,LU Juan,et al.Energy consumption analysis of college dormitory building based on multiple linear regression method[J].J. Xi’an Univ. of Arch. & Tech.(Natural Science Edition),2018,50(06):919-924.[doi:10.15986/j.1006-7930.2018.06.024]
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基于多元线性回归方法的高校宿舍建筑能耗分析()
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西安建筑科技大学学报（自然科学版）[ISSN:1006-7930/CN:61-1295/TU]

卷:
50
期数:
2018年06期
页码:
919-924
栏目:
出版日期:
2018-12-31

文章信息/Info

Title:
Energy consumption analysis of college dormitory building based on multiple linear regression method
文章编号:
1006-7930(2018)06-0919-06
作者:
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
Author(s):
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
关键词:
高校宿舍; 多元线性回归; DeST; 能耗分析
Keywords:
college dormitory;  multiple linear regression;  DeST; energy consumption analysis
分类号:
TU111.19+5
DOI:
10.15986/j.1006-7930.2018.06.024
文献标志码:
A
摘要:
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.
Abstract:
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.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2016-08-29修改稿日期:2018-11-19
基金项目:教育部高等学校绿色发展研究基金重点资助项目（2016-11）; 基于大数据的智慧校园节能优化策略研究（2016-07）.
第一作者:孙晴（1983-），男，工程师，主要从事建筑智能化方向的研究.E-mail:182180783@qq.com
通信作者:李明海（1971-），博士，教授级高级工程师，从事建筑智能化和建筑节能研究.E-mail:1119003471@qq.com
更新日期/Last Update: 2019-02-16