How Can We Adapt Thermal Comfort for Disabled Patients? A Case Study of French Healthcare Buildings in Summer

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 physic...

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Main Authors: Youcef Bouzidi, Zoubayre El Akili, Antoine Gademer, Nacef Tazi, Adil Chahboun
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/15/4530
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spelling doaj-3b5f60229bb64c7e81789ea151fb311a2021-08-06T15:21:51ZengMDPI AGEnergies1996-10732021-07-01144530453010.3390/en14154530How Can We Adapt Thermal Comfort for Disabled Patients? A Case Study of French Healthcare Buildings in SummerYoucef Bouzidi0Zoubayre El Akili1Antoine Gademer2Nacef Tazi3Adil Chahboun4Interdisciplinary Research on Society-Technology-Environment Interactions (lnSyTE), CREIDD, University of Technology of Troyes, 12 Rue Marie Curie, CS 42060, CEDEX, 10004 Troyes, FranceInterdisciplinary Research on Society-Technology-Environment Interactions (lnSyTE), CREIDD, University of Technology of Troyes, 12 Rue Marie Curie, CS 42060, CEDEX, 10004 Troyes, FranceInstitute of Electronics and Systems UMR 5214, EPF Graduate School of Engineering, 21 Bd Berthelot, 34000 Montpellier, FranceCerema, 112 Rue de Paris, 77171 Sourdun, FranceThin Films and Nanomaterials Laboratory, Faculty of Science and Technology, Abdelmalek Essaadi University, Ancienne Route de l’Aéroport, Km 10, Ziaten, Tanger BP: 416, MoroccoThis 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">n</mi><mrow><mo>(</mo><mi mathvariant="normal">t</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula> 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.https://www.mdpi.com/1996-1073/14/15/4530thermal comforthealthcare facilitydisabled peopleadaptive thermal comfortindoor environmentair-conditioned building
collection DOAJ
language English
format Article
sources DOAJ
author Youcef Bouzidi
Zoubayre El Akili
Antoine Gademer
Nacef Tazi
Adil Chahboun
spellingShingle Youcef Bouzidi
Zoubayre El Akili
Antoine Gademer
Nacef Tazi
Adil Chahboun
How Can We Adapt Thermal Comfort for Disabled Patients? A Case Study of French Healthcare Buildings in Summer
Energies
thermal comfort
healthcare facility
disabled people
adaptive thermal comfort
indoor environment
air-conditioned building
author_facet Youcef Bouzidi
Zoubayre El Akili
Antoine Gademer
Nacef Tazi
Adil Chahboun
author_sort Youcef Bouzidi
title How Can We Adapt Thermal Comfort for Disabled Patients? A Case Study of French Healthcare Buildings in Summer
title_short How Can We Adapt Thermal Comfort for Disabled Patients? A Case Study of French Healthcare Buildings in Summer
title_full How Can We Adapt Thermal Comfort for Disabled Patients? A Case Study of French Healthcare Buildings in Summer
title_fullStr How Can We Adapt Thermal Comfort for Disabled Patients? A Case Study of French Healthcare Buildings in Summer
title_full_unstemmed How Can We Adapt Thermal Comfort for Disabled Patients? A Case Study of French Healthcare Buildings in Summer
title_sort how can we adapt thermal comfort for disabled patients? a case study of french healthcare buildings in summer
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2021-07-01
description 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">n</mi><mrow><mo>(</mo><mi mathvariant="normal">t</mi><mo>)</mo></mrow></mrow></semantics></math></inline-formula> 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.
topic thermal comfort
healthcare facility
disabled people
adaptive thermal comfort
indoor environment
air-conditioned building
url https://www.mdpi.com/1996-1073/14/15/4530
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