LAPSE:2023.25487
Published Article

LAPSE:2023.25487
How Can We Adapt Thermal Comfort for Disabled Patients? A Case Study of French Healthcare Buildings in Summer
March 28, 2023
Abstract
This paper investigates adaptive thermal comfort during summer in medical residences that are located in the French city of Troyes and managed by the Association of Parents of Disabled Children (APEI). Thermal comfort in these buildings is evaluated using subjective measurements and objective physical parameters. The thermal sensations of respondents were determined by questionnaires, while thermal comfort was estimated using the predicted mean vote (PMV) model. Indoor environmental parameters (relative humidity, mean radiant temperature, air temperature, and air velocity) were measured using a thermal environment sensor during the summer period in July and August 2018. A good correlation was found between operative temperature, mean radiant temperature, and PMV. The neutral temperature was determined by linear regression analysis of the operative temperature and Fanger’s PMV model. The obtained neutral temperature is 23.7 °C. Based on the datasets and questionnaires, the adaptive coefficient α representing patients’ capacity to adapt to heat was found to be 1.261. A strong correlation was also observed between the sequential thermal index n(t) and the adaptive temperature. Finally, a new empirical model of adaptive temperature was developed using the data collected from a longitudinal survey in four residential buildings of APEI in summer, and the obtained adaptive temperature is 25.0 °C with upper and lower limits of 24.7 °C and 25.4 °C.
This paper investigates adaptive thermal comfort during summer in medical residences that are located in the French city of Troyes and managed by the Association of Parents of Disabled Children (APEI). Thermal comfort in these buildings is evaluated using subjective measurements and objective physical parameters. The thermal sensations of respondents were determined by questionnaires, while thermal comfort was estimated using the predicted mean vote (PMV) model. Indoor environmental parameters (relative humidity, mean radiant temperature, air temperature, and air velocity) were measured using a thermal environment sensor during the summer period in July and August 2018. A good correlation was found between operative temperature, mean radiant temperature, and PMV. The neutral temperature was determined by linear regression analysis of the operative temperature and Fanger’s PMV model. The obtained neutral temperature is 23.7 °C. Based on the datasets and questionnaires, the adaptive coefficient α representing patients’ capacity to adapt to heat was found to be 1.261. A strong correlation was also observed between the sequential thermal index n(t) and the adaptive temperature. Finally, a new empirical model of adaptive temperature was developed using the data collected from a longitudinal survey in four residential buildings of APEI in summer, and the obtained adaptive temperature is 25.0 °C with upper and lower limits of 24.7 °C and 25.4 °C.
Record ID
Keywords
adaptive thermal comfort, air-conditioned building, disabled people, healthcare facility, indoor environment, thermal comfort
Subject
Suggested Citation
Bouzidi Y, El Akili Z, Gademer A, Tazi N, Chahboun A. How Can We Adapt Thermal Comfort for Disabled Patients? A Case Study of French Healthcare Buildings in Summer. (2023). LAPSE:2023.25487
Author Affiliations
Bouzidi Y: Interdisciplinary Research on Society-Technology-Environment Interactions (lnSyTE), CREIDD, University of Technology of Troyes, 12 Rue Marie Curie, CS 42060, CEDEX, 10004 Troyes, France [ORCID]
El Akili Z: Interdisciplinary Research on Society-Technology-Environment Interactions (lnSyTE), CREIDD, University of Technology of Troyes, 12 Rue Marie Curie, CS 42060, CEDEX, 10004 Troyes, France
Gademer A: Institute of Electronics and Systems UMR 5214, EPF Graduate School of Engineering, 21 Bd Berthelot, 34000 Montpellier, France
Tazi N: Cerema, 112 Rue de Paris, 77171 Sourdun, France
Chahboun A: Thin Films and Nanomaterials Laboratory, Faculty of Science and Technology, Abdelmalek Essaadi University, Ancienne Route de l’Aéroport, Km 10, Ziaten, Tanger BP: 416, Morocco [ORCID]
El Akili Z: Interdisciplinary Research on Society-Technology-Environment Interactions (lnSyTE), CREIDD, University of Technology of Troyes, 12 Rue Marie Curie, CS 42060, CEDEX, 10004 Troyes, France
Gademer A: Institute of Electronics and Systems UMR 5214, EPF Graduate School of Engineering, 21 Bd Berthelot, 34000 Montpellier, France
Tazi N: Cerema, 112 Rue de Paris, 77171 Sourdun, France
Chahboun A: Thin Films and Nanomaterials Laboratory, Faculty of Science and Technology, Abdelmalek Essaadi University, Ancienne Route de l’Aéroport, Km 10, Ziaten, Tanger BP: 416, Morocco [ORCID]
Journal Name
Energies
Volume
14
Issue
15
First Page
4530
Year
2021
Publication Date
2021-07-27
ISSN
1996-1073
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Original Submission
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PII: en14154530, Publication Type: Journal Article
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LAPSE:2023.25487
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https://doi.org/10.3390/en14154530
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