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Experimental study on occupants' interaction with windows and lights in Mediterranean offices during the non-heating season

机译:非供暖季节地中海办公室人员与窗户和灯光互动的实验研究

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摘要

The modelling of human behaviour is an important challenge for the building sector, as the actions of users have significant impacts on both energy consumption and comfort assessment. In the search for a comprehensive understanding of the behaviour of occupants, many researchers have directed their efforts towards determining typical patterns and developing models to predict human-building interactions. This study investigates the behaviour of building users during the summer season in offices in Mediterranean climate. Studies focusing on this area are still lacking, despite their importance for cooling loads. A survey is conducted using a dedicated sensor network to monitor environmental variables, and to determine the presence of people and their interactions with windows and lights in three offices. The driving factors for the actions of users are assessed and behavioural models are proposed. The results indicate that interactions with windows and lights are driven by both time related events and environmental factors, confirming previous findings. A comparison of the proposed models with others developed for different climate zones suggests that interactions with windows are affected by the geographic area, while light switching behaviour seems to be very similar for the different case studies. A simplified approach for the consideration of different user-device interactions is also proposed. This novel method, developed to evaluate the interactivity between users and building systems, is based on a coefficient of interactivity, C-I. Both the behavioural models and the simplified approach could be introduced into future simulations to improve predictions of energy use in buildings.
机译:人类行为的建模是建筑行业的一项重要挑战,因为用户的行为对能耗和舒适度评估都具有重大影响。在寻求对乘员行为的全面理解中,许多研究人员将他们的努力引导到确定典型模式并开发模型来预测人与建筑的相互作用。这项研究调查了夏季在地中海气候办公室中建筑物使用者的行为。尽管它们对冷却负荷很重要,但仍缺乏针对该领域的研究。使用专用的传感器网络进行调查,以监视环境变量,并确定三个办公室中人员的存在及其与窗户和灯光的相互作用。评估了用户行为的驱动因素,并提出了行为模型。结果表明,与窗户和灯光的互动受时间相关事件和环境因素的驱动,从而证实了先前的发现。将建议的模型与针对不同气候区域开发的其他模型进行比较后,发现与窗户的相互作用受地理区域的影响,而不同案例研究的光开关行为似乎非常相似。还提出了一种用于考虑不同用户-设备交互的简化方法。开发以评估用户与建筑系统之间的交互性的这种新方法基于交互性系数C-1。行为模型和简化方法都可以引入未来的仿真中,以改善建筑物中能源使用的预测。

著录项

  • 来源
    《Building and Environment》 |2018年第1期|221-238|共18页
  • 作者单位

    Univ Politecn Marche, Dept Construct Civil Engn & Architecture DICEA, Via Brecce Blanche, I-60131 Ancona, Italy;

    Univ Politecn Marche, Dept Ind Engn & Math Sci DIISM, Via Brecce Bianche, I-60131 Ancona, Italy;

    Univ Politecn Marche, Dept Ind Engn & Math Sci DIISM, Via Brecce Bianche, I-60131 Ancona, Italy;

    Univ Politecn Marche, Dept Mat Environm Sci & Urban Planning SIMAU, Via Brecce Bianche, I-60131 Ancona, Italy;

    Univ Politecn Marche, Dept Ind Engn & Math Sci DIISM, Via Brecce Bianche, I-60131 Ancona, Italy;

    Univ Politecn Marche, Dept Construct Civil Engn & Architecture DICEA, Via Brecce Blanche, I-60131 Ancona, Italy;

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

    Occupant behaviour; Behavioural modelling; Offices; Windows; Lights; Mediterranean climate;

    机译:乘员行为;行为建模;办公室;窗户;灯光;地中海气候;

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