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...
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Format: | Article |
Language: | English |
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Shahid Sadoughi University of Medical Science, Yazd, Iran
2021-10-01
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Series: | Archives of Occupational Health |
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Online Access: | http://aoh.ssu.ac.ir/article-1-264-en.pdf |
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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 |