摘要
学生宿舍作为高等院校不可或缺的一部分,具有建筑总面积大、使用率高、建筑总能耗大等特点。现有研究基本上局限于整栋宿舍楼的用电量分析,缺乏对学生宿舍中各个房间用电量的细化分析与研究。以上海某高等院校533间女生宿舍为研究对象,划分4种用电偏好,调研宿舍内学生的空调使用习惯,分析影响学生宿舍用电的相关参数。研究发现,学生的宿舍用电偏好与冬季空调的使用时长有关;回归分析模型显示,同一类型的学生宿舍用电和室外温度具有线性关系。结果表明,通过聚类细分得到的学生用电偏好和室外平均温度是影响学生宿舍用电的重要参数,获取这两个参数的回归方法可以有效掌握学生宿舍的用电情况。
As a university-affiliated unit,student dormitories have many characteristics,such as large total building area,high utilization rates,and large total energy consumption.Existing research focuses on the electricity consumption analysis of the entire dormitory buildings,but lacks detailed analysis and research on the electricity consumption of each room in the student dormitory.In this study,533 female dormitories of a university in Shanghai were divided into four types of electricity preferences,and the air-conditioning habits of students in the dormitories were investigated,and the relevant parameters affecting the electricity consumption of the student dormitories were analyzed.Research finds that student dormitory electricity preference is related to the length of time in winter the air conditioner is used.On the other hand,the regression analysis model shows that the electricity consumption of the same type of student dormitory has a linear relationship with the outdoor temperature.The case results show that the students'electricity preference and the average outdoor temperature obtained through clustering and segmentation are important parameters that affect the electricity consumption of the student dormitory.The method of obtaining the regression of these two parameters can effectively grasp the electricity consumption of the student dormitory.
作者
林笑宇
于航
周弈伽
王锰
郑砚
王奕苏
LIN Xiaoyu;YU Hang;ZHOU Yijia;WANG Meng;ZHENG Yan;WANG Yisu(School of Mechanical Engineering, Tongji University, Shanghai 201804, P. R. China)
出处
《土木与环境工程学报（中英文）》
CSCD
北大核心
2022年第4期185-194,共10页
Journal of Civil and Environmental Engineering
基金
国网科技项目(52090020002X)。
关键词
宿舍用电
两步聚类
行为调研
参数分析
electricity for dormitory
two-stage cluster
behavioral research
parametric analysis
