A study on influential factors of occupant window-opening behavior in an office building in China

A study on influential factors of occupant window-opening behavior in an office building in China
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我国某办公楼居住者开窗行为影响因素研究

DOI:
10.1016/j.buildenv.2018.02.008
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发表时间:
2018-04
影响因子:
7.4
通讯作者:
Meijie Han
Meijie Han
中科院分区:
工程技术1区
文献类型:
--
作者:
Song Pan;Yingzi Xiong;Yiye Han;Xingxing Zhang;Ling Xia;Shen Wei;Jinshun Wu;Meijie Han

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居住者经常在建筑物中执行许多类型的行为来调节室内热环境。在这些类型中,打开/关闭窗户,通常被认为是窗户打开行为,由于其方便性而更常见。它不仅改善了室内空气品质,满足了居住者对室内热舒适性的要求,而且也影响了建筑能耗。为了进一步了解影响居住者开窗行为的潜在因素,在北京一所大学的办公楼进行了实地研究。每天记录二楼5个办公室共5个窗户在285天(9.5个月)内的窗户状态(打开/关闭)。潜在的因素,分为环境和非环境的,随后确定其影响开窗行为,通过逻辑回归和皮尔逊相关方法。分析结果表明,室内外气温、风速、相对湿度、室外PM2. 5浓度、太阳辐射、日照时数等环境因子对居住者开窗行为的影响较强,其中气温的影响占主导地位。而非环境因素,如季节变化、时间和个人偏好,也会影响开窗概率的模式。本文提供了我国居住者开窗行为的高分辨率实场数据,为分析和预测开窗行为概率提供了方法。对潜在影响因素的探讨将有助于进一步研究建筑能耗与开窗行为之间的关系。
Occupants often perform many types of behavior in buildings to adjust the indoor thermal environment. In these types, opening/closing the windows, often regarded as window-opening behavior, is more commonly observed because of its convenience. It not only improves indoor air quality to satisfy occupants' requirement for indoor thermal comfort but also influences building energy consumption. To learn more about potential factors having effects on occupants' window-opening behavior, a field study was carried out in an office building within a university in Beijing. Window state (open/closed) for a total of 5 windows in 5 offices on the second floor in 285 days (9.5 months) were recorded daily. Potential factors, categorized as environmental and non-environmental ones, were subsequently identified with their impact on window-opening behavior through logistic regression and Pearson correlation approaches. The analytical results show that occupants' window-opening behavior is more strongly correlated to environmental factors, such as indoor and outdoor air temperatures, wind speed, relative humidity, outdoor PM2.5concentrations, solar radiation, sunshine hours, in which air temperatures dominate the influence. While the non-environmental factors, i.e. seasonal change, time of day and personal preference, also affects the patterns of window-opening probability. This paper provides solid field data on occupant window opening behavior in China, with high resolutions and demonstrates the way in analyzing and predicting the probability of window-opening behavior. Its discussion into the potential impact factors shall be useful for further investigation of the relationship between building energy consumption and window-opening behavior.
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