Association of Perceived Thermal Comfort and Air Quality with Building- and Occupant-Related Characteristics and Environmental Parameters in Sweden

Theofanis Psomas (), Despoina Teli, Adam O’ Donovan, Pavlos Kolias and Sarka Langer
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Theofanis Psomas: Department of Architecture and Civil Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden
Despoina Teli: Department of Architecture and Civil Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden
Adam O’ Donovan: MeSSO Research Group, Munster Technological University, T12 P928 Cork, Ireland
Pavlos Kolias: Department of Mathematics, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
Sarka Langer: IVL Swedish Environmental Research Institute, 411 33 Gothenburg, Sweden

Energies, 2024, vol. 17, issue 6, 1-27

Abstract: The aim of the article is to analyze the perceived thermal comfort and indoor air quality of occupants and establish associations between these responses and the building-related, occupant-related characteristics, and environmental parameters of residential buildings (a total of 38 variables). The analysis is focused on the Swedish building stock as investigated during the latest national survey in 2008. The analysis covers 1035 residential buildings (multifamily and single-family dwellings). Analytical statistical analysis has been conducted, and logistic regression models have also been developed for the identification of statistically significant covariates. The analysis showed that users in this study demonstrated a significantly positive response to perceived thermal comfort and indoor air quality conditions. Perceived ratings were also highly correlated with each other. As the regression models indicated, the majority of the significant variables were related to the buildings. Nevertheless, this study also underscores the significance of contextual occupant attributes and behaviors as a crucial element influencing the subjective perception of indoor environments. Policymakers, guided by these insights, are encouraged to integrate considerations of occupant attributes into design and urban planning.

Keywords: dwelling; indoor environment; national survey; rating system; statistical analysis; logistic regression analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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