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Investigation and analysis of Chinese residential building occupancy with large-scale questionnaire surveys

机译:大规模问卷调查中国住宅建筑占用的调查与分析

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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.
机译:住宅建筑的占用是建筑模拟,建筑系统设计,优化和节能政策制定的最重要的投入之一。中国的城市住宅占用少数大规模调查有助于解释整体情况和占用概况。在这项研究中,在四个中国城市进行了大型城市家庭调查,共计3424个有效样品。然后在数据集上进行了描述性分析,聚类分析和相关分析,以确定典型的占用时间表。从大规模占用数据中得出的结论是城市住宅建筑的入住率在一天中的大部分时间都很低许多个人房间。为住宅建筑中的每个房型鉴定了四个典型的簇。典型集群份额存在区域差异,但没有观察到季节性差异。由于住宅建筑的部分用途,建筑服务应反映这种部分使用,政策制定者应考虑采用与此实际占用时间表一致的能源政策。 (c)2019 Elsevier B.v.保留所有权利。

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