LAPSE:2023.19284
Published Article
LAPSE:2023.19284
An Efficient Method to Compute Thermal Parameters of the Comfort Map Using a Decreased Number of Measurements
Balázs Cakó, Erzsébet Szeréna Zoltán, János Girán, Gabriella Medvegy, Mária Eördöghné Miklós, Árpád Nyers, Anett Tímea Grozdics, Zsolt Kisander, Viktor Bagdán, Ágnes Borsos
March 9, 2023
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.
Keywords
Artificial Intelligence, comfort map, comfort theory, interpolation procedure
Suggested Citation
Cakó B, Zoltán ES, Girán J, Medvegy G, Miklós ME, Nyers Á, Grozdics AT, Kisander Z, Bagdán V, Borsos Á. An Efficient Method to Compute Thermal Parameters of the Comfort Map Using a Decreased Number of Measurements. (2023). LAPSE:2023.19284
Author Affiliations
Cakó B: Department of Building Services and Building Engineering of Engineering and Information Technology, University of Pécs, Boszorkány St. 2., H-7624 Pécs, Hungary
Zoltán ES: Department of Architecture and Urban Planning, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány St. 2., H-7624 Pécs, Hungary
Girán J: Department of Public Health Medicines, Medical School, University of Pécs, Szigeti St. 12., H-7624 Pécs, Hungary [ORCID]
Medvegy G: Department of Interior, Applied and Creative Design, Faculty of Engineering and Information Technology University of Pécs, Boszorkány St. 2., H-7624 Pécs, Hungary
Miklós ME: Department of Building Services and Building Engineering of Engineering and Information Technology, University of Pécs, Boszorkány St. 2., H-7624 Pécs, Hungary
Nyers Á: Department of Building Services and Building Engineering of Engineering and Information Technology, University of Pécs, Boszorkány St. 2., H-7624 Pécs, Hungary
Grozdics AT: Department of Architecture and Urban Planning, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány St. 2., H-7624 Pécs, Hungary
Kisander Z: Department of Automation, Faculty of Engineering and Information Technology University of Pécs, Boszorkány St. 2., H-7624 Pécs, Hungary
Bagdán V: Department of Automation, Faculty of Engineering and Information Technology University of Pécs, Boszorkány St. 2., H-7624 Pécs, Hungary
Borsos Á: Department of Interior, Applied and Creative Design, Faculty of Engineering and Information Technology University of Pécs, Boszorkány St. 2., H-7624 Pécs, Hungary [ORCID]
Journal Name
Energies
Volume
14
Issue
18
First Page
5632
Year
2021
Publication Date
2021-09-08
Published Version
ISSN
1996-1073
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PII: en14185632, Publication Type: Journal Article
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LAPSE:2023.19284
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doi:10.3390/en14185632
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