Experimental and modeling approach for estimating the psychological adaptation and perceived thermal comfort of occupants in indoor spaces

• A quantitative model was proposed to evaluate psychological adaptation. • The adaptive predictive mean vote (aPMV) model was enhanced. • The psychological coefficient of occupants was evaluated. • The adaptive factor was determined and linked to psychological schema. • It was also linked to the outdoor air temperature and indoor operative temperature. This study proposes a methodology for examining the relationship between environmental thermal conditions and occupant's perceived thermal comfort evaluation. Therefore, their psychological adaptation was examined to quantify and incorporate it in thermal comfort evaluations. To achieve the closure of the model's system of equations, experiments are carried out in which subjects are exposed to various thermal conditions in an enclosed space that simulates an office indoor environment; thermal measurements and perceived data are collected. Thus, the study aims to evaluate the adaptive factor that causes the difference between the physiological evaluation and the subjects’ actual thermal perception. This adaptive factor is linked to the physical stimuli experienced owing to the thermal environment and the cognitive information within the occupant's memory systems; thus, the closure equation is derived from the outdoor air temperature and indoor operative temperature.

Authors

Institutions

Publication Details

Journal
Building and Environment
Published
2024-12-19
DOI
https://doi.org/10.1016/j.buildenv.2024.112479
Citations
3
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.80

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental and modeling approach for estimating the psychological adaptation and perceived thermal comfort of occupants in indoor spaces

Aline Barlet, Thomas Recht, Denis Bruneau, Tosin Danjuma Omoya
3 citations
Building and Environment
Building Energy and Comfort Optimization
0.80
article

Experimental and modeling approach for estimating the psychological adaptation and perceived thermal comfort of occupants in indoor spaces

Aline Barlet, Thomas Recht, Denis Bruneau, Tosin Danjuma Omoya
article en
3 citations

Abstract

• A quantitative model was proposed to evaluate psychological adaptation. • The adaptive predictive mean vote (aPMV) model was enhanced. • The psychological coefficient of occupants was evaluated. • The adaptive factor was determined and linked to psychological schema. • It was also linked to the outdoor air temperature and indoor operative temperature. This study proposes a methodology for examining the relationship between environmental thermal conditions and occupant's perceived thermal comfort evaluation. Therefore, their psychological adaptation was examined to quantify and incorporate it in thermal comfort evaluations. To achieve the closure of the model's system of equations, experiments are carried out in which subjects are exposed to various thermal conditions in an enclosed space that simulates an office indoor environment; thermal measurements and perceived data are collected. Thus, the study aims to evaluate the adaptive factor that causes the difference between the physiological evaluation and the subjects’ actual thermal perception. This adaptive factor is linked to the physical stimuli experienced owing to the thermal environment and the cognitive information within the occupant's memory systems; thus, the closure equation is derived from the outdoor air temperature and indoor operative temperature.

Building and EnvironmentVol. 269
Centre National de la Recherche Scientifique (FR), Université de Bordeaux (FR), Arts et Métiers (FR), Institut de Mécanique et d'Ingénierie de Bordeaux (FR), HESAM Université (FR), Institut Polytechnique de Bordeaux (FR), École Nationale Supérieure d'Architecture et de Paysage de Bordeaux (FR)
Petroleum Technology Development Fund
Openalex Percentile: Top 27%
Building Energy and Comfort Optimization
0.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.