An Efficient Method to Compute Thermal Parameters of the Comfort Map Using a Decreased Number of Measurements
This paper presents an empirical approach to design ideal workplaces using the PMV-PPD (predicted mean vote–predicted percentage dissatisfied) method set in ISO 7730 in terms of thermal comfort. The key concept behind our method is that the overall employee satisfaction might be improved if they can...
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MDPI AG
2021-09-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/14/18/5632 |
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author | Balázs Cakó Erzsébet Szeréna Zoltán János Girán Gabriella Medvegy Mária Eördöghné Miklós Árpád Nyers Anett Tímea Grozdics Zsolt Kisander Viktor Bagdán Ágnes Borsos |
author_facet | Balázs Cakó Erzsébet Szeréna Zoltán János Girán Gabriella Medvegy Mária Eördöghné Miklós Árpád Nyers Anett Tímea Grozdics Zsolt Kisander Viktor Bagdán Ágnes Borsos |
author_sort | Balázs Cakó |
collection | DOAJ |
description | This paper presents an empirical approach to design ideal workplaces using the PMV-PPD (predicted mean vote–predicted percentage dissatisfied) method set in ISO 7730 in terms of thermal comfort. The key concept behind our method is that the overall employee satisfaction might be improved if they can select the most suitable desk based on their personal comfort preferences. To support desk sharing, we designed a comfort map toolkit, which can visualize the distribution of comfort parameters within office spaces. The article describes the steps to create comfort maps with methods already widely used, as well as a new one developed by our research team, including the measurement procedures and the theoretical background required. |
first_indexed | 2024-03-10T07:43:26Z |
format | Article |
id | doaj.art-581751699f474a6185f61930977a0bac |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T07:43:26Z |
publishDate | 2021-09-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-581751699f474a6185f61930977a0bac2023-11-22T12:50:35ZengMDPI AGEnergies1996-10732021-09-011418563210.3390/en14185632An Efficient Method to Compute Thermal Parameters of the Comfort Map Using a Decreased Number of MeasurementsBalázs Cakó0Erzsébet Szeréna Zoltán1János Girán2Gabriella Medvegy3Mária Eördöghné Miklós4Árpád Nyers5Anett Tímea Grozdics6Zsolt Kisander7Viktor Bagdán8Ágnes Borsos9Department of Building Services and Building Engineering of Engineering and Information Technology, University of Pécs, Boszorkány St. 2., H-7624 Pécs, HungaryDepartment of Architecture and Urban Planning, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány St. 2., H-7624 Pécs, HungaryDepartment of Public Health Medicines, Medical School, University of Pécs, Szigeti St. 12., H-7624 Pécs, HungaryDepartment of Interior, Applied and Creative Design, Faculty of Engineering and Information Technology University of Pécs, Boszorkány St. 2., H-7624 Pécs, HungaryDepartment of Building Services and Building Engineering of Engineering and Information Technology, University of Pécs, Boszorkány St. 2., H-7624 Pécs, HungaryDepartment of Building Services and Building Engineering of Engineering and Information Technology, University of Pécs, Boszorkány St. 2., H-7624 Pécs, HungaryDepartment of Architecture and Urban Planning, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány St. 2., H-7624 Pécs, HungaryDepartment of Automation, Faculty of Engineering and Information Technology University of Pécs, Boszorkány St. 2., H-7624 Pécs, HungaryDepartment of Automation, Faculty of Engineering and Information Technology University of Pécs, Boszorkány St. 2., H-7624 Pécs, HungaryDepartment of Interior, Applied and Creative Design, Faculty of Engineering and Information Technology University of Pécs, Boszorkány St. 2., H-7624 Pécs, HungaryThis paper presents an empirical approach to design ideal workplaces using the PMV-PPD (predicted mean vote–predicted percentage dissatisfied) method set in ISO 7730 in terms of thermal comfort. The key concept behind our method is that the overall employee satisfaction might be improved if they can select the most suitable desk based on their personal comfort preferences. To support desk sharing, we designed a comfort map toolkit, which can visualize the distribution of comfort parameters within office spaces. The article describes the steps to create comfort maps with methods already widely used, as well as a new one developed by our research team, including the measurement procedures and the theoretical background required.https://www.mdpi.com/1996-1073/14/18/5632comfort theorycomfort mapinterpolation procedureartificial intelligence |
spellingShingle | Balázs Cakó Erzsébet Szeréna Zoltán János Girán Gabriella Medvegy Mária Eördöghné Miklós Árpád Nyers Anett Tímea Grozdics Zsolt Kisander Viktor Bagdán Ágnes Borsos An Efficient Method to Compute Thermal Parameters of the Comfort Map Using a Decreased Number of Measurements Energies comfort theory comfort map interpolation procedure artificial intelligence |
title | An Efficient Method to Compute Thermal Parameters of the Comfort Map Using a Decreased Number of Measurements |
title_full | An Efficient Method to Compute Thermal Parameters of the Comfort Map Using a Decreased Number of Measurements |
title_fullStr | An Efficient Method to Compute Thermal Parameters of the Comfort Map Using a Decreased Number of Measurements |
title_full_unstemmed | An Efficient Method to Compute Thermal Parameters of the Comfort Map Using a Decreased Number of Measurements |
title_short | An Efficient Method to Compute Thermal Parameters of the Comfort Map Using a Decreased Number of Measurements |
title_sort | efficient method to compute thermal parameters of the comfort map using a decreased number of measurements |
topic | comfort theory comfort map interpolation procedure artificial intelligence |
url | https://www.mdpi.com/1996-1073/14/18/5632 |
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