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Study on influencing factors for occupant window-opening behavior: Case study of an office building in Xi'an during the transition season

机译:乘客窗口开放行为影响因素研究:过渡季节西安办公楼的案例研究

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摘要

Window-opening behavior profoundly affects indoor air quality, thermal comfort, and the energy consumption of HVAC systems in office buildings. This paper presents the results of a field study on manual window control conducted in five typical individual offices in the building of a research institute in the city of Xi'an, located in the cold region of China. The average duration of window-open and window-closed states was 5.3 h/day and 6.7 h/day during working hours, respectively, and thus the window-open state accounted for 44% of the total duration during the transition season. Unlike previous studies, the results show that once a window was opened when occupants first come to the office, it would not be left like that for long, until the occupants left the office at the end of day. In addition, window opening behavior is more strongly correlated with indoor PM2.5 concentration and indoor temperature. A new algorithm has been developed that applies dummy variables based on a binary logistic to provide a more accurate description of the relationship between the window state and influencing factors at different levels. The proposed model increased the prediction accuracy of the window being open by 5.9% compared to the continuous variable model. This study focuses on understanding the characteristics of window operation and establishing a more accurate model that offers suitable data and theoretical support for applications to simulate energy consumption in office building.
机译:窗口开放行为深刻地影响了室内空气质量,热舒适度和办公室建筑中HVAC系统的能耗。本文介绍了五个典型的个别办事处在锡安市建设中,位于中国寒冷地区的研究所的五个典型个别办事处进行了现场研究的结果。窗口开放和窗口闭合状态的平均持续时间分别为5.3小时/天,工作时间分别为6.7小时/天,因此窗口开放状态占过渡季度总持续时间的44%。与以往的研究不同,结果表明,当乘客首次来到办公室时,一旦打开了一个窗户,它就不会像那样留下,直到乘客在一天结束时离开办公室。此外,窗口打开行为与室内PM2.5浓度和室内温度更强烈地相关。已经开发了一种新的算法,其基于二进制逻辑应用虚拟变量,以便在不同级别的窗口状态和影响因素之间提供更准确的关系。与连续变量模型相比,所提出的模型增加了5.9%的窗口的预测精度。本研究重点介绍了解窗口操作的特点,并建立更准确的模型,为应用程序模拟办公楼中的能源消耗,提供适当的数据和理论支持。

著录项

  • 来源
    《Building and Environment》 |2021年第8期|107977.1-107977.17|共17页
  • 作者单位

    Changan Univ Sch Civil Engn Dept Bldg Environm & Energy Engn Xian 710061 Peoples R China;

    Changan Univ Sch Civil Engn Dept Bldg Environm & Energy Engn Xian 710061 Peoples R China;

    Changan Univ Sch Civil Engn Dept Bldg Environm & Energy Engn Xian 710061 Peoples R China;

    Changan Univ Sch Civil Engn Dept Bldg Environm & Energy Engn Xian 710061 Peoples R China;

    Xian Thermal Power Res Inst Co Ltd Xian 710054 Peoples R China;

    Changan Univ Sch Civil Engn Dept Bldg Environm & Energy Engn Xian 710061 Peoples R China;

    Shaanxi Environm Investigat & Assessment Ctr Xian 710054 Peoples R China;

    Changan Univ Sch Civil Engn Dept Bldg Environm & Energy Engn Xian 710061 Peoples R China;

    Changan Univ Sch Water & Environm Xian 710054 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Window-opening behavior; Transition season; Logistic regression model; Dummy variables;

    机译:窗口开放行为;过渡季节;逻辑回归模型;虚拟变量;

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