Investigation and analysis of Chinese residential building occupancy with large-scale questionnaire surveys
Investigation and analysis of Chinese residential building occupancy with large-scale questionnaire surveys
复制标题
DOI：
10.1016/j.enbuild.2019.04.007
复制
发表时间：
2019-06-15
影响因子：
6.7
通讯作者：
Qian, Mingyang
中科院分区：
文献类型：
--
作者：
Hu, Shan;Yan, Da;Qian, Mingyang
居住建筑的占用是建筑模拟、建筑系统设计、优化和节能决策的最重要的输入之一。有几项关于中国城市住宅入住率的大规模调查有助于解释总体情况和入住率概况。本研究在中国4个城市进行了大规模的城镇住户调查，共获得3424份有效样本。然后对数据集进行描述性分析、聚类分析和相关分析，确定典型的占用时间表。从大规模入住率数据得出的结论是，城市住宅的入住率在一天中的大部分时间和许多单个房间都很低。在住宅楼的每个房间类型中确定了四个典型的集群。典型集群份额存在区域差异，但不存在季节差异。由于住宅建筑的部分使用，建筑服务应反映这种部分使用，政策制定者应考虑采用与这种实际占用时间表一致的能源政策。(C) 2019 Elsevier B.V.版权所有
Occupancy of residential buildings is one of the most important inputs for building simulations, building system design, optimization, and energy efficient policy-making. There are a few large-scale surveys of China's urban residential occupancy that help explain the overall situation and occupancy profile. In this study, large-scale surveys of urban households were conducted in four Chinese cities, totaling 3424 valid samples. Descriptive analysis, clustering analysis, and correlation analysis were then conducted on the dataset to ascertain the typical occupancy schedules.The conclusion derived from the large-scale occupancy data is that the occupancy rate of urban residential buildings is low throughout much of the day and in many of the individual rooms. Four typical clusters were identified for each room type in a residential building. Regional differences exist for a typical cluster share, but no seasonal difference was observed. Because of partial usage of residential buildings, building services should reflect this partial usage and policy-makers should consider adopting energy policies consistent with this real occupancy schedule. (C) 2019 Elsevier B.V. All rights reserved.