{"title":"Local thermal response differences due to sex and BMI among older adults in warm environments","authors":"Minzhou Chen , Jaafar Younes , Azin Velashjerdi Farahani , Simo Kilpeläinen , Risto Kosonen , Nesreen Ghaddar , Arsen Krikor Melikov","doi":"10.1016/j.buildenv.2025.113275","DOIUrl":null,"url":null,"abstract":"<div><div>Individual differences in thermal comfort among older adults may arise owing to sex and body mass index (BMI), leading to different preferred settings for indoor parameters in thermal environments. Meanwhile, providing automatic control strategies for personal comfort systems is very important for the elderly because of their reduced sensitivity and mobility. Thus, this study recruited 26 older adults to join climatic chamber experiments that included the use of local cooling devices at five thermal conditions: 26 °C, 40 % relative humidity (RH); 28 °C, 60 %; 29 °C, 40 %; 32 °C, 50 %; and 33 °C, 40 %. We introduced three types of local cooling devices: a table fan, an evaporative cooling device, and an air-cooled jacket. During the experiment, we monitored the participants' use of these cooling devices and recorded their skin temperatures and thermal perception votes. Notably, differences in thermal responses between the sexes were more pronounced than those between different BMI groups. There were significant differences in torso and lower limb skin temperatures as well as tympanic temperatures between males and females. There were substantial individual variations in thermal preferences and device usage behaviors. Generally, the participants’ device usage behavior was consistent with their thermal sensations and correlated with the mean skin temperatures recorded 5 min prior. We trained the long short-term memory (LSTM) model to predict individual device usage and found it was capable of effectively modeling individual device usage when the input variables included the head and wrist skin temperatures and device speed, achieving an accuracy of 90 %.</div></div>","PeriodicalId":9273,"journal":{"name":"Building and Environment","volume":"282 ","pages":"Article 113275"},"PeriodicalIF":7.6000,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Building and Environment","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360132325007553","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Individual differences in thermal comfort among older adults may arise owing to sex and body mass index (BMI), leading to different preferred settings for indoor parameters in thermal environments. Meanwhile, providing automatic control strategies for personal comfort systems is very important for the elderly because of their reduced sensitivity and mobility. Thus, this study recruited 26 older adults to join climatic chamber experiments that included the use of local cooling devices at five thermal conditions: 26 °C, 40 % relative humidity (RH); 28 °C, 60 %; 29 °C, 40 %; 32 °C, 50 %; and 33 °C, 40 %. We introduced three types of local cooling devices: a table fan, an evaporative cooling device, and an air-cooled jacket. During the experiment, we monitored the participants' use of these cooling devices and recorded their skin temperatures and thermal perception votes. Notably, differences in thermal responses between the sexes were more pronounced than those between different BMI groups. There were significant differences in torso and lower limb skin temperatures as well as tympanic temperatures between males and females. There were substantial individual variations in thermal preferences and device usage behaviors. Generally, the participants’ device usage behavior was consistent with their thermal sensations and correlated with the mean skin temperatures recorded 5 min prior. We trained the long short-term memory (LSTM) model to predict individual device usage and found it was capable of effectively modeling individual device usage when the input variables included the head and wrist skin temperatures and device speed, achieving an accuracy of 90 %.
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.