Thermal Comfort of Older People: Validation of the MPMV Model

Older people are the most vulnerable to extreme heat and cold events, and understanding their thermal comfort requirements is an important component for the design of healthy buildings. There are, however, very few predictive thermal comfort models for older populations. The aim of this paper was to validate the newly developed MPMV model for older people using thermal sensation data collected in climatic chambers and field studies in urban and rural buildings under various climate zones. Besides the six customary physical parameters governing thermal perception, the model accounts for additional factors covering heat retrieval from or heat addition to the body core and adjustment constants for regulatory sweating rate and non-shivering thermogenesis, which are important for the thermal adaptation of people in real settings. The model predictions show good agreement with measurement in climate chambers, with an overall RMSE = 0.44. Similarly, the model reproduces field measurement with a high degree of accuracy in 71% of the studies, with RMSE = 0.52. The major differences were observed in urban and rural residences during the winter of cold climates and summer of hot climates. These discrepancies could be attributed to unreported factors, such as the transient effects, misestimation of personal input data, and seasonal adaptation of residents.

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Publication Details

Journal
Energies
Published
2025-03-17
DOI
https://doi.org/10.3390/en18061484
Citations
5
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
5.03

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article

Thermal Comfort of Older People: Validation of the MPMV Model

Zahra Jandaghian, Abdelaziz Laouadi, Melina Sirati
5 citations
Energies
Building Energy and Comfort Optimization
5.03
article

Thermal Comfort of Older People: Validation of the MPMV Model

Zahra Jandaghian, Abdelaziz Laouadi, Melina Sirati
article en
5 citations

Abstract

Older people are the most vulnerable to extreme heat and cold events, and understanding their thermal comfort requirements is an important component for the design of healthy buildings. There are, however, very few predictive thermal comfort models for older populations. The aim of this paper was to validate the newly developed MPMV model for older people using thermal sensation data collected in climatic chambers and field studies in urban and rural buildings under various climate zones. Besides the six customary physical parameters governing thermal perception, the model accounts for additional factors covering heat retrieval from or heat addition to the body core and adjustment constants for regulatory sweating rate and non-shivering thermogenesis, which are important for the thermal adaptation of people in real settings. The model predictions show good agreement with measurement in climate chambers, with an overall RMSE = 0.44. Similarly, the model reproduces field measurement with a high degree of accuracy in 71% of the studies, with RMSE = 0.52. The major differences were observed in urban and rural residences during the winter of cold climates and summer of hot climates. These discrepancies could be attributed to unreported factors, such as the transient effects, misestimation of personal input data, and seasonal adaptation of residents.

EnergiesVol. 18(6)
National Research Council Canada (CA)
Infrastructure Canada
Openalex Percentile: Top 6%
Building Energy and Comfort Optimization
5.03
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