Calculating Comfort Indexes and Applying Comfort Models to Predict Thermal Sensation Vote in Sports Centres

IF 4.3 2区 环境科学与生态学 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Indoor air Pub Date : 2024-08-12 DOI:10.1155/2024/9142303
Luca Borghero, Santiago Escudero, Joana Ortiz, Jaume Salom
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Abstract

Predicting the indoor thermal comfort of people while doing sports might pose challenges, as the combination of high metabolic rate, increased humidity of the space due to physical exercise, and the alternate of more and less intense tasks influence perception. This paper is aimed at comparing environmental data (temperature and relative humidity) and calculating comfort indexes (heat index) and two comfort models (Fanger’s predicted mean value and the adaptive thermal comfort model) with people’s perceptions of the environment. Indoor environmental data for the analysis were collected by monitoring several rooms in eight sports centres in a Mediterranean climate. The thermal sensation votes (TSVs) of the occupants were obtained through an online survey. A detailed explanation of the methodology of the monitoring, creation, and management of the survey and the tools used to analyse the data is provided. Results compare the relation between the TSV and the parameters or indexes calculated. Fanger’s predicted mean vote (PMV) model is not able to correctly predict people’s sensations, neither for low nor for high metabolic rates. Finally, the neutral temperature of the adaptive model for the studied conditions is calculated. Among the studied parameters and indices, temperature exhibits the strongest correlation with the thermal sensation of the occupants. However, occupants did not report a significant sensation regarding humidity in accordance with the objective conditions of the rooms. The heat index also did not show any significant correlation with the TSV. Nevertheless, across a wide range of conditions, including variations in metabolic activities, temperature, and relative humidity, the percentage of thermal dissatisfaction (indicated by “very hot” responses) remains consistently high. Notably, the temperature at which a peak in neutral sensation can be achieved is less than 21° for low metabolic rate activities.

Abstract Image

计算舒适度指数并应用舒适度模型预测体育中心的热感值
预测人们在运动时的室内热舒适度可能会带来挑战,因为高代谢率、体育锻炼导致的空间湿度增加以及高强度和低强度任务的交替进行都会影响人们的感知。本文旨在比较环境数据(温度和相对湿度)、计算舒适度指数(热指数)和两个舒适度模型(方格预测平均值和适应性热舒适度模型)与人们对环境的感知。用于分析的室内环境数据是通过监测地中海气候下八个体育中心的多个房间收集的。居住者的热感觉投票(TSV)是通过在线调查获得的。文中详细介绍了调查的监测、创建和管理方法,以及用于分析数据的工具。结果比较了 TSV 与所计算的参数或指数之间的关系。无论是在新陈代谢率较低还是较高的情况下,方格的预测平均投票(PMV)模型都无法正确预测人们的感觉。最后,计算了研究条件下自适应性模型的中性温度。在所研究的参数和指数中,温度与居住者热感觉的相关性最强。然而,根据房间的客观条件,居住者对湿度的感觉并不明显。热指数与 TSV 也没有明显的相关性。尽管如此,在各种条件下,包括新陈代谢活动、温度和相对湿度的变化,热不满意度(以 "非常热 "表示)的百分比始终很高。值得注意的是,在低代谢率活动中,达到中性感觉峰值的温度低于 21°。
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
Indoor air
Indoor air 环境科学-工程:环境
CiteScore
10.80
自引率
10.30%
发文量
175
审稿时长
3 months
期刊介绍: The quality of the environment within buildings is a topic of major importance for public health. Indoor Air provides a location for reporting original research results in the broad area defined by the indoor environment of non-industrial buildings. An international journal with multidisciplinary content, Indoor Air publishes papers reflecting the broad categories of interest in this field: health effects; thermal comfort; monitoring and modelling; source characterization; ventilation and other environmental control techniques. The research results present the basic information to allow designers, building owners, and operators to provide a healthy and comfortable environment for building occupants, as well as giving medical practitioners information on how to deal with illnesses related to the indoor environment.
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