Estimation of the temperature spatial variability in confined spaces based on thermal imaging

In developed countries the salaries of office workers are several times higher than the total cost of maintaining and operating the building. Therefore even a small improvement in human work productivity and performance as a result of enhancing the quality of their work environment may lead to a mea...

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Main Authors: Augustyn Grzegorz, Jurasz Jakub, Jurczyk Krzysztof, Korbiel Tomasz, Mikulik Jerzy, Pawlik Marcin, Rumin Rafał
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:E3S Web of Conferences
Online Access:https://doi.org/10.1051/e3sconf/20172200004
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spelling doaj-68dca55d0a0b4e00955bdad0c81d98272021-08-11T14:28:28ZengEDP SciencesE3S Web of Conferences2267-12422017-01-01220000410.1051/e3sconf/20172200004e3sconf_asee2017_00004Estimation of the temperature spatial variability in confined spaces based on thermal imagingAugustyn GrzegorzJurasz JakubJurczyk KrzysztofKorbiel TomaszMikulik JerzyPawlik MarcinRumin RafałIn developed countries the salaries of office workers are several times higher than the total cost of maintaining and operating the building. Therefore even a small improvement in human work productivity and performance as a result of enhancing the quality of their work environment may lead to a meaningful economic benefits. The air temperature is the most commonly used indicator in assessing the indoor environment quality. What is more, it is well known that thermal comfort has the biggest impact on employees performance and their ability to work efficiently. In majority of office buildings, indoor temperature is managed by heating, ventilation and air conditioning (HVAC) appliances. However the way how they are currently managed and controlled leads to the nonhomogeneous distribution of temperature in certain space. An approach to determining the spatial variability of temperature in confined spaces was introduced based on thermal imaging temperature measurements. The conducted research and obtained results enabled positive verification of the method and creation of surface plot illustrating the temperature variability.https://doi.org/10.1051/e3sconf/20172200004
collection DOAJ
language English
format Article
sources DOAJ
author Augustyn Grzegorz
Jurasz Jakub
Jurczyk Krzysztof
Korbiel Tomasz
Mikulik Jerzy
Pawlik Marcin
Rumin Rafał
spellingShingle Augustyn Grzegorz
Jurasz Jakub
Jurczyk Krzysztof
Korbiel Tomasz
Mikulik Jerzy
Pawlik Marcin
Rumin Rafał
Estimation of the temperature spatial variability in confined spaces based on thermal imaging
E3S Web of Conferences
author_facet Augustyn Grzegorz
Jurasz Jakub
Jurczyk Krzysztof
Korbiel Tomasz
Mikulik Jerzy
Pawlik Marcin
Rumin Rafał
author_sort Augustyn Grzegorz
title Estimation of the temperature spatial variability in confined spaces based on thermal imaging
title_short Estimation of the temperature spatial variability in confined spaces based on thermal imaging
title_full Estimation of the temperature spatial variability in confined spaces based on thermal imaging
title_fullStr Estimation of the temperature spatial variability in confined spaces based on thermal imaging
title_full_unstemmed Estimation of the temperature spatial variability in confined spaces based on thermal imaging
title_sort estimation of the temperature spatial variability in confined spaces based on thermal imaging
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2017-01-01
description In developed countries the salaries of office workers are several times higher than the total cost of maintaining and operating the building. Therefore even a small improvement in human work productivity and performance as a result of enhancing the quality of their work environment may lead to a meaningful economic benefits. The air temperature is the most commonly used indicator in assessing the indoor environment quality. What is more, it is well known that thermal comfort has the biggest impact on employees performance and their ability to work efficiently. In majority of office buildings, indoor temperature is managed by heating, ventilation and air conditioning (HVAC) appliances. However the way how they are currently managed and controlled leads to the nonhomogeneous distribution of temperature in certain space. An approach to determining the spatial variability of temperature in confined spaces was introduced based on thermal imaging temperature measurements. The conducted research and obtained results enabled positive verification of the method and creation of surface plot illustrating the temperature variability.
url https://doi.org/10.1051/e3sconf/20172200004
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AT juraszjakub estimationofthetemperaturespatialvariabilityinconfinedspacesbasedonthermalimaging
AT jurczykkrzysztof estimationofthetemperaturespatialvariabilityinconfinedspacesbasedonthermalimaging
AT korbieltomasz estimationofthetemperaturespatialvariabilityinconfinedspacesbasedonthermalimaging
AT mikulikjerzy estimationofthetemperaturespatialvariabilityinconfinedspacesbasedonthermalimaging
AT pawlikmarcin estimationofthetemperaturespatialvariabilityinconfinedspacesbasedonthermalimaging
AT ruminrafał estimationofthetemperaturespatialvariabilityinconfinedspacesbasedonthermalimaging
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