Thermal Comfort Study Based on PMV-PPD in the Building of a Screening Center for COVID-19

Background: One way to achieve a standard heating, ventilating, and air conditioning system with maximum satisfaction is to use a thermal index to identify and determine the thermal comfort of people. In this study we intend to evaluate thermal comfort based on PMV-PPD (Predicted Mean Vote/Predicted...

Full description

Bibliographic Details
Main Authors: Danial Mohammadi, Simin Nasrabadi
Format: Article
Language:English
Published: Shahid Sadoughi University of Medical Science, Yazd, Iran 2021-10-01
Series:Archives of Occupational Health
Subjects:
Online Access:http://aoh.ssu.ac.ir/article-1-264-en.pdf
_version_ 1797311463153467392
author Danial Mohammadi
Simin Nasrabadi
author_facet Danial Mohammadi
Simin Nasrabadi
author_sort Danial Mohammadi
collection DOAJ
description Background: One way to achieve a standard heating, ventilating, and air conditioning system with maximum satisfaction is to use a thermal index to identify and determine the thermal comfort of people. In this study we intend to evaluate thermal comfort based on PMV-PPD (Predicted Mean Vote/Predicted Percentage Dissatisfied) model in workers of screening center for COVID-19. Methods: The study period was from March 1 to October 31, 2020. In this study, we used the ISO 7730 model to determinate PMV-PPD index. PMV index  was used to determine thermal comfort at different scales in Birjand city with arid and hot climate. All data were analyzed  using R software (version 3.3.0) and IBM SPSS statistics softwares. Results: The maximum and minimum recorded physical PMV values in the study period were observed in June as (2.09 ± 0.03) and March as (-1.27 ± 0.14), respectively. The amplitude of the thermal sense in the study period was varied between slightly cool (-1.5) and warm (+2.5). The PPD in spring was 40% which indicated slightly warm to hot condition. Conclusions: The October was the only month during the study in which thermal stress was in comfort or neutral thermal condition.  Our results suggest that thermal comfort has dimensions and indices which are helpful in managing energy consumption.
first_indexed 2024-03-08T01:59:04Z
format Article
id doaj.art-a90901ac43c74f00bb033d24c6673c5e
institution Directory Open Access Journal
issn 2588-3070
2588-3690
language English
last_indexed 2024-03-08T01:59:04Z
publishDate 2021-10-01
publisher Shahid Sadoughi University of Medical Science, Yazd, Iran
record_format Article
series Archives of Occupational Health
spelling doaj.art-a90901ac43c74f00bb033d24c6673c5e2024-02-14T06:43:38ZengShahid Sadoughi University of Medical Science, Yazd, IranArchives of Occupational Health2588-30702588-36902021-10-015410941099Thermal Comfort Study Based on PMV-PPD in the Building of a Screening Center for COVID-19Danial Mohammadi0Simin Nasrabadi1 Occupational Health Research Center, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran 2- Department of Occupational Health, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran; danialmohammadi92@gmail.com School of Public Health, Birjand University of Medical Sciences, Birjand, Iran; siminnasrabadi92@gmail.com Background: One way to achieve a standard heating, ventilating, and air conditioning system with maximum satisfaction is to use a thermal index to identify and determine the thermal comfort of people. In this study we intend to evaluate thermal comfort based on PMV-PPD (Predicted Mean Vote/Predicted Percentage Dissatisfied) model in workers of screening center for COVID-19. Methods: The study period was from March 1 to October 31, 2020. In this study, we used the ISO 7730 model to determinate PMV-PPD index. PMV index  was used to determine thermal comfort at different scales in Birjand city with arid and hot climate. All data were analyzed  using R software (version 3.3.0) and IBM SPSS statistics softwares. Results: The maximum and minimum recorded physical PMV values in the study period were observed in June as (2.09 ± 0.03) and March as (-1.27 ± 0.14), respectively. The amplitude of the thermal sense in the study period was varied between slightly cool (-1.5) and warm (+2.5). The PPD in spring was 40% which indicated slightly warm to hot condition. Conclusions: The October was the only month during the study in which thermal stress was in comfort or neutral thermal condition.  Our results suggest that thermal comfort has dimensions and indices which are helpful in managing energy consumption.http://aoh.ssu.ac.ir/article-1-264-en.pdfthermal comfortpredicted mean votepredicted percentage dissatisfiedscreening centercovid-19
spellingShingle Danial Mohammadi
Simin Nasrabadi
Thermal Comfort Study Based on PMV-PPD in the Building of a Screening Center for COVID-19
Archives of Occupational Health
thermal comfort
predicted mean vote
predicted percentage dissatisfied
screening center
covid-19
title Thermal Comfort Study Based on PMV-PPD in the Building of a Screening Center for COVID-19
title_full Thermal Comfort Study Based on PMV-PPD in the Building of a Screening Center for COVID-19
title_fullStr Thermal Comfort Study Based on PMV-PPD in the Building of a Screening Center for COVID-19
title_full_unstemmed Thermal Comfort Study Based on PMV-PPD in the Building of a Screening Center for COVID-19
title_short Thermal Comfort Study Based on PMV-PPD in the Building of a Screening Center for COVID-19
title_sort thermal comfort study based on pmv ppd in the building of a screening center for covid 19
topic thermal comfort
predicted mean vote
predicted percentage dissatisfied
screening center
covid-19
url http://aoh.ssu.ac.ir/article-1-264-en.pdf
work_keys_str_mv AT danialmohammadi thermalcomfortstudybasedonpmvppdinthebuildingofascreeningcenterforcovid19
AT siminnasrabadi thermalcomfortstudybasedonpmvppdinthebuildingofascreeningcenterforcovid19