高使用率高等教育机构建筑物的使用率模式及概况-个案研究

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Intelligent Buildings International Pub Date : 2022-11-06 DOI:10.1080/17508975.2022.2137451
B. Alfalah, Mehdi Shahrestani, Li Shao
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引用次数: 2

摘要

摘要建筑占用模式是考虑建筑能效的一个重要因素,也是建筑性能建模的一个关键输入。更具体地说,与供暖、制冷、照明和插头负载使用相关的能源消耗取决于建筑物中的居住人数。识别建筑物中的占用模式和剖面是优化建筑物操作系统的关键因素,并有可能缩小规划阶段与实际能源使用之间的性能差距。本研究旨在确定英国选定案例研究建筑中居住者的模式和概况。在这项研究中,每隔5分钟收集12个月的入住率数据。与之前在数据收集中遇到不确定性的研究相比,使用传感器来获得高精度的占用数据。进行了一组聚类分析,以确定建筑中的占用模式和概况。这项研究的结果确定了三种不同的占用模式和概况,以及影响案例研究大楼中占用者的四个驱动因素:学期开始、考试期、工作日/周末和度假驱动因素。
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Identifying occupancy patterns and profiles in higher education institution buildings with high occupancy density – A case study
ABSTRACT Building occupancy patterns are an important factor in considering the energy efficiency of buildings and a key input for building performance modelling. More specifically, the energy consumption associated with heating, cooling, lighting, and plug load usage depends on the number of occupants in a building. Identifying occupancy patterns and profiles in buildings is a key factor for the optimisation of building operating systems and can potentially reduce the performance gap between the planning stage and the actual energy usage. This study aims to identify the patterns and profiles of the occupants in a selected case study building in England. In this study, occupancy data were collected over 12 months at five minutes intervals. A sensor was used to obtain high accuracy occupancy data compared to previous studies that encountered uncertainties in data collection. A set of clustering analyses was carried out to identify occupancy patterns and profiles in the building. The results of this study identified three different occupancy patterns and profiles as well as four drivers that influenced the occupants in the case study building: the beginning of the academic term, the examination period, the weekday/weekends, and the vacation driver.
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来源期刊
Intelligent Buildings International
Intelligent Buildings International CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
4.60
自引率
4.30%
发文量
8
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