Development of an Adaptive Model of Thermal Comfort in a Mixed-Mode Japanese Multi-Family Apartment

IF 0.5 0 ARCHITECTURE
Kazuya Matsuo, Soma Sugano, Toru Shiba, Shin-ichi Tanabe
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Abstract

This paper aims to construct a Japanese localized Adaptive Model of thermal comfort and to examine the effect of humidity on the predicted comfort temperature. Also, the extent of adaptation, including the use of air conditioning, was investigated. Thermal comfort survey and measurements were conducted in a Japanese housing complex between 2020 and 2022, collecting 6607 responses. Window-opening behavior was investigated in 2018 and 2019 within the same housing complex to develop a probabilistic model of window opening. The slope of the derived adaptive model was steeper than in offices, indicating a greater extent of adaptation. Even when air conditioning is used, the range of adaptation was wider, with a slope of 0.26, whereas in offices, where more stringent climate control exists, the ASHRAE database suggests a slope of 0.13. The presented result showed the possibility of using a comfort model with the entire dataset, including when air conditioning is operated, provided that the way of adjusting the thermal environment in the room is mixed-mode. The model considering humidity showed that humidity affects it to a small extent, with a maximum effect of 0.13 K per 1 K outdoor temperature fluctuation, implying that a simple linear model is sufficient for comfort temperature prediction.

Abstract Image

日本混合模式多户公寓热舒适自适应模型的建立
本文旨在构建一个日本本土化的热舒适自适应模型,并考察湿度对预测舒适温度的影响。此外,还调查了适应的程度,包括空调的使用。2020年至2022年期间,在日本的一个住宅区进行了热舒适调查和测量,收集了6607份回复。在2018年和2019年对同一住宅小区的开窗行为进行了调查,以建立开窗的概率模型。导出的适应模型斜率比办公室更陡,表明适应程度更大。即使在使用空调的情况下,适应范围也更广,斜率为0.26,而在气候控制更为严格的办公室,ASHRAE数据库显示的斜率为0.13。所提出的结果表明,如果室内热环境的调节方式为混合模式,则可以在整个数据集(包括空调运行时)中使用舒适模型。考虑湿度的模型表明,湿度对舒适性温度的影响较小,每1 K室外温度波动对舒适性温度的影响最大为0.13 K,表明简单的线性模型足以预测舒适性温度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.20
自引率
11.10%
发文量
58
审稿时长
15 weeks
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