An Analysis of Thermal Comfort Models: Which One Is Suitable Model to Assess Thermal Reality in Brazil?

Iasmin Lourenço Niza and Evandro Eduardo Broday
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Iasmin Lourenço Niza: IEQ Lab, Universidade Tecnológica Federal do Paraná, Rua Doutor Washington Subtil Chueire, 330, Jardim Carvalho, Ponta Grossa 84017-220, Brazil
Evandro Eduardo Broday: IEQ Lab, Universidade Tecnológica Federal do Paraná, Rua Doutor Washington Subtil Chueire, 330, Jardim Carvalho, Ponta Grossa 84017-220, Brazil

Energies, 2022, vol. 15, issue 15, 1-19

Abstract: The Predicted Mean Vote (PMV) has discrepancies in relation to the thermal reality of the environment; thus, adaptive models serve to improve this estimate. In this context, this research aimed to verify the performance of PMV and adaptive models under different conditions in Brazil from an analysis of variance and to further classify individuals into clusters according to their feelings of thermal comfort. Through ASHRAE’s Global II Thermal Comfort Database, users of offices and classrooms in Brasilia, Recife, Maceió, and Florianópolis were investigated. The results of ANOVA showed that the PMV model did not represent the thermal reality of any of the cities investigated, and the cluster analysis showed how most people felt thermally in relation to indoor environments.

Keywords: thermal comfort; predicted mean vote; adaptive models; cluster analysis; database (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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