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

机译:大型问卷调查法对中国住宅建筑使用率的调查与分析

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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输入之一。对中国城市住宅入住率进行了一些大规模调查,有助于解释总体情况和入住率状况。在这项研究中,对中国四个城市的城市家庭进行了大规模调查,共有3424个有效样本。然后对数据集进行描述性分析,聚类分析和相关性分析,以确定典型的入住时间表。从大规模的入住数据得出的结论是,城市住宅在全天和大部分时间内的入住率都很低。许多单独的房间。针对住宅建筑中的每种房间类型,确定了四个典型的群集。典型集群份额存在区域差异,但未观察到季节差异。由于住宅的部分使用,建筑服务应反映这种部分使用,决策者应考虑采用符合此实际使用时间表的能源政策。 (C)2019 Elsevier B.V.保留所有权利。

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