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Study on Behavioural Adaptation for the Thermal Comfort and Energy Saving in Japanese Offices

机译:日本办事处热舒适和节能行为适应研究

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Office workers use a variety of adaptive opportunities to regulate their indoor thermal environment. The behavioural adaptations suchas window opening, clothing adjustments, heating/cooling use are one of the important factors for the adaptive thermal comfort. It iswell-known that they are the most important contributors in the adaptive thermal comfort model. Thus, if we understand thebehavioural adaptation properly, we can explain the mechanism of the adaptive model. In addition, the indoor thermal environmentis often adjusted using the air conditioning in Japanese office building to improve the thermal comfort and productivity. Thus, it isnecessary to conduct research on the behavioural adaptation in the offices because the occupant behavior is different to the dwellings.In order to record the seasonal differences in behavioural adaptation and to develop an adaptive algorithm for Japanese offices, wemeasured temperatures in 11 office buildings and conducted the thermal comfort and occupant behaviour survey for over a year inJapanese offices. We collected 4,660 samples from about 1350 people.The proportion of ‘open window’ in the free running mode (neither heating or cooling being used) is significantly higher than that ofthe air-conditioned mode. The behavioural adaptation is related to the outdoor air temperature. The behavioural adaptation predictedby the regression analysis is in good agreement with the measured data. These findings can be applied to the building thermalsimulation to predict the behavioural adaptation and energy use in office buildings.
机译:办公室工作人员使用各种适应机会来规范室内热环境。行为适应的窗户开口,衣物调整,加热/冷却使用是自适应热舒适性的重要因素之一。它是众所周知,他们是自适应热舒适模型中最重要的贡献者。因此,如果我们理解正确的适应性,我们可以解释自适应模型的机制。此外,室内热环境经常使用日本办公楼的空调调整,以提高热舒适度和生产率。因此,由于占用行为与住所不同,因此需要对办公室行为适应进行研究。为了记录行为适应的季节性差异,并开发日本办事处的自适应算法,11个办公楼中的WEMAsured温度并为一年多的禁令和乘员行为调查进行了一次禁令。我们收集了大约1350人的4,660个样本。自由运行模式中的“开窗”的比例(既不用于加热或冷却)明显高于空调模式。行为适应与室外空气温度有关。回归分析预测的行为适应与测量数据吻合良好。这些发现可以应用于建筑物的热仿真,以预测办公楼中的行为适应和能源使用。

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