Time length of adaptation phase for subjective thermal environment evaluation based on thermal stability time

IF 7.1 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Sheng Zhang , Jinghua Jiang , Zhang Lin
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Abstract

The adaptation phase is the primary process of subjective thermal comfort evaluations. The time length of the adaptation phase in existing studies disperses largely, which either risks low evaluation reliability or high time and economic costs. This study proposes to determine the time length of the adaptation phase for reliable subjective thermal environment evaluation and to avoid unnecessarily large time and economic costs. First, the variation and distribution of the initial thermal status of the adaptation phase are inferred from a steady bioheat model with ASHRAE (American Society of Heating, Refrigerating and Air-conditioning Engineers) Thermal Comfort Database II. Second, with the initial thermal status, the variation and distribution of the thermal stability time are inferred from the dynamic bioheat model. Third, the time length of the adaptation phase is quantified from the distribution of the thermal stability time according to the targeted reliability level. Results show that under the summer scenario, the time length of the adaptation phase increases from 16.9 31.2 min to 25.2 – 38.9 min when the reliability level increases from 90.0 % to 97.5 %. The time length of the adaptation phase of the winter scenario increases by 5.3 – 9.7 min relative to that of the summer scenario. A strategy of shifting the adaptation phase from thermal neutrality to slight warmth is proposed to effectively shorten the time length of the adaptation phase by 5.6 % – 19.4 % and 7.8 % – 23.9 % in the summer and winter scenarios respectively. These results are tabulated for practical convenience.
基于热稳定性时间的主观热环境评估适应阶段的时间长度
适应阶段是主观热舒适度评估的主要过程。现有研究中,适应阶段的时间长度大多比较分散,这就有可能导致评价可靠性低或时间和经济成本高。本研究建议确定适应阶段的时间长度,以实现可靠的主观热环境评价,避免不必要的大量时间和经济成本。首先,利用 ASHRAE(美国采暖、制冷和空调工程师协会)热舒适数据库 II,通过稳定的生物热模型推断出适应阶段初始热状态的变化和分布。其次,根据初始热状态,通过动态生物热模型推断热稳定时间的变化和分布。第三,根据目标可靠性水平,从热稳定性时间的分布来量化适应阶段的时间长度。结果表明,在夏季情况下,当可靠性水平从 90.0 % 增加到 97.5 % 时,适应阶段的时间长度从 16.9 - 31.2 分钟增加到 25.2 - 38.9 分钟。与夏季情景相比,冬季情景的适应阶段时间长度增加了 5.3 - 9.7 分钟。我们提出了一种将适应阶段从热中性转向微暖的策略,可有效缩短适应阶段的时间长度,在夏季和冬季方案中分别缩短了 5.6 % - 19.4 % 和 7.8 % - 23.9 %。为便于实际操作,这些结果以表格形式列出。
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
Building and Environment
Building and Environment 工程技术-工程:环境
CiteScore
12.50
自引率
23.00%
发文量
1130
审稿时长
27 days
期刊介绍: Building and Environment, an international journal, is dedicated to publishing original research papers, comprehensive review articles, editorials, and short communications in the fields of building science, urban physics, and human interaction with the indoor and outdoor built environment. The journal emphasizes innovative technologies and knowledge verified through measurement and analysis. It covers environmental performance across various spatial scales, from cities and communities to buildings and systems, fostering collaborative, multi-disciplinary research with broader significance.
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