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Development of Adaptive Model and Occupant Behavior Model in Four Office Buildings in Nagasaki, Japan

机译:日本长崎四栋办公楼的自适应模型和居住者行为模型的开发

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A field survey of indoor environmental measurements and questionnaires on thermal sensation, overall comfort, and behaviors was conducted in four office buildings in Japan by visiting each office every month over a duration of more than a year during the coronavirus disease 2019 (COVID-19) pandemic. The indoor environment was measured concurrently. We obtained 1047 votes from office workers in their 20s to 60s. The regression and Griffiths' methods were used to calculate the indoor comfort temperature. A logistic regression analysis was used to develop the occupant behavior model. Over 70 of the occupants found the indoor environment comfortable at a mean comfort temperature of 23.2 to 25.9 DEG;C. Gender differences were observed in thermal sensation and overall comfort, but a gender difference was observed only in the cooling mode for the indoor comfort temperature. An adaptive model was developed for the office buildings in Nagasaki city to predict the indoor comfort temperature from the outdoor air temperature. The proportions of heating, cooling, and fan usage can be predicted from the outdoor air temperature using a logistic regression analysis. The adaptive model and occupant behavior model are useful for the indoor temperature control of the existing buildings and thermal simulation of the new building design.
机译:在 2019 年冠状病毒病 (COVID-19) 大流行期间,在日本的四座办公楼中,通过每月访问每个办公室,对室内环境测量和热感觉、整体舒适度和行为进行了实地调查。同时测量室内环境。我们从20多岁到60多岁的上班族那里获得了1047张选票。采用回归法和Griffiths法计算室内舒适温度。采用logistic回归分析建立了居住者行为模型。超过70%的居住者认为室内环境在平均舒适温度为23.2至25.9°C时感到舒适,在热感觉和整体舒适度方面观察到性别差异,但仅在室内舒适温度的冷却模式下观察到性别差异。针对长崎市的写字楼,从室外气温预测室内舒适度。使用逻辑回归分析,可以从室外空气温度预测供暖、制冷和风扇使用的比例。自适应模型和居住者行为模型可用于既有建筑的室内温度控制和新建筑设计的热仿真。

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