Thermal comfort modelling of older people living in care homes: An evaluation of heat balance, adaptive comfort, and thermographic methods

Yi, Choo Yoon; Childs, Charmaine; Peng, Chengzhi; Robinson, Darren

doi:10.1016/j.buildenv.2021.108550

Cited by 18 publications

(6 citation statements)

References 75 publications

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“…Table 6 summarizes some of the adaptive thermal comfort models which were gathered from field studies. Yi et al (2022a) studied three different thermal comfort models to assess elderly people's thermal dissatisfaction level. In this study, the subject respondent's PMVs were examined, and the questionnaire survey data was validated with the infrared radiometer thermography (IRT) survey.…”

Section: Adaptive Thermal Comfort Modelsmentioning

confidence: 99%

Investigation of ASHRAE Global Thermal Comfort Database II and its Impact on the Development of Effective Passive Design Systems

Bema,

Ozarisoy

2023

Preprint

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A variety of factors ranging from ethnicity and occupants’ lifestyles to local climatic characteristics of any studied location and people’s age factors can affect thermal comfort assessment globally. Due to the detrimental impact of climate change, the building industry has started to implement energy efficiency schemes while considering the thermal comfort of vulnerable population both for the society and any sphere of economy. Although, considering human-based approaches have been neglected by other scholars in thermal comfort studies. This paper reviews energy effectiveness of state-of-the-art passive systems in providing neutral adaptive thermal comfort for elderly people, through exploring passive design strategies in four distinct climates namely, Canada, India, Abu Dhabi and the South-eastern Mediterranean basin. The aim of the study is to analyze the available data provided by the ASHRAE Global Thermal Comfort Database II version record 2.1. The main objective of the study is to develop an effective methodological framework for the on-going development of adaptive thermal comfort theory. To this extend, this study presents a comprehensive review on the assessment of energy effectiveness of passive design systems. To accomplish this, the impact of climate change factor in passive design systems was investigated. The meta-analysis method was adopted to determine the input variables for the statistical analysis. Cramer’s V and Fisher’s Exact tests were used to assess occupants’ thermal sensation votes (TSVs). The findings revealed that there are discrepancies detected between the in-situ field experiments and the data recorded in the ASHRAE Global Thermal Comfort Database II. According to the Köppen-Geiger climate classification, it was found from the study that the slightly high temperature fluctuations were identified in India where the weather is dry and savanna climate. The study findings contribute to the development of adaptive thermal comfort theory by reviewing the existing methodologies globally. Furthermore, a critical review on the significance of occupants’ age differences should be conducted in the identification of neutral adaptive thermal comfort.

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Section: Adaptive Thermal Comfort Modelsmentioning

confidence: 99%

Investigation of ASHRAE Global Thermal Comfort Database II and its Impact on the Development of Effective Passive Design Systems

Bema,

Ozarisoy

2023

Preprint

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“…Thermal comfort plays a pivotal role in the well-being of the population. It is defined as the state of mind which expresses satisfaction with the thermal environment, and it is assessed using the Predicted Mean Vote (PMV) model that consists of four indoor climate parameters (ambient air temperature, relative humidity, mean radiant temperature and air speed) and two personal factors (clothing insulation and metabolic rate) [15], [16]. Thermal comfort occurs at -0.5 ≤ PMV ≤ 0.5, while for sensitive and frail people, the suggested range is -0.2 ≤ PMV ≤ 0.2 [17].…”

Section: Thermal Comfortmentioning

confidence: 99%

“…Since ageing people are increasingly encouraged to stay home to avoid risky situations, the measurement of their well-being in their homes plays an important role for the healthcare system that can continue taking care of them remotely [1]. The impact of this trend is rising every year as the population is ageing and the number of older people worldwide is expected to rise from 12.5% in 2021 to 16.7% in 2030 and 20% in 2050 [2]. Moreover, an important aspect that needs to be considered is that older people prefer to live in their own homes instead of moving to nursing or care facilities.…”

Section: Introductionmentioning

confidence: 99%

Well-being and comfort of ageing people based on indoor environmental conditions: preliminary study on human-coach conversation

Casaccia

Jokinen

Naccarelli

et al. 2022

2022 IEEE International Workshop on Metrology for Living Environment (MetroLivEn)

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The terms and conditions for the reuse of this version of the manuscript are specified in the publishing policy. The use of copyrighted works requires the consent of the rights' holder (author or publisher). Works made available under a Creative Commons license or a Publisher's custom-made license can be used according to the terms and conditions contained therein. See editor's website for further information and terms and conditions. This item was downloaded from IRIS Università Politecnica delle Marche (https://iris.univpm.it). When citing, please refer to the published version.

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“…Smart cities, and particularly smart energy, provide a platform for monitoring and control, as well as general energy management, to be more transparently available to officials and consumers. Energy production and supply can be managed by accurately measuring these needs when the indicators of residents' living comfort and real needs are clearly identified and based on intelligent and modern mechanisms [26]. This not only reduces energy consumption, but also serves as a smart city and building automation mechanism.…”

Section: Introductionmentioning

confidence: 99%

Intelligent System Application to Monitor the Smart City Building Lighting

Chen¹,

Dwijendra²,

Singhal³

et al. 2023

Computers, Materials &Amp; Continua

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A smart city incorporates infrastructure methods that are environmentally responsible, such as smart communications, smart grids, smart energy, and smart buildings. The city administration has prioritized the use of cutting-edge technology and informatics as the primary strategy for enhancing service quality, with energy resources taking precedence. To achieve optimal energy management in the multidimensional system of a city tribe, it is necessary not only to identify and study the vast majority of energy elements, but also to define their implicit interdependencies. This is because optimal energy management is required to reach this objective. The lighting index is an essential consideration when evaluating the comfort indicators. In order to realize the concept of a smart city, the primary objective of this research is to create a system for managing and monitoring the lighting index. It is possible to identify two distinct phases within the intelligent system. Once data collection concludes, the monitoring system will be activated. In the second step, the operation of the control system is analyzed and its effect on the performance of the numerical model is determined. This evaluation is based on the proposed methodology. The optimized results were deemed satisfactory because they maintained the brightness index value (79%) while consuming less energy. The intelligent implementation system generated satisfactory outcomes, which were observed 1.75 times on average.

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Thermal comfort modelling of older people living in care homes: An evaluation of heat balance, adaptive comfort, and thermographic methods

Cited by 18 publications

References 75 publications

Investigation of ASHRAE Global Thermal Comfort Database II and its Impact on the Development of Effective Passive Design Systems

Investigation of ASHRAE Global Thermal Comfort Database II and its Impact on the Development of Effective Passive Design Systems

Well-being and comfort of ageing people based on indoor environmental conditions: preliminary study on human-coach conversation

Intelligent System Application to Monitor the Smart City Building Lighting

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