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An Analysis of Thermal Comfort Models: Which One Is Suitable Model to Assess Thermal Reality in Brazil?
| Content Provider | MDPI |
|---|---|
| Author | Niza, Iasmin Lourenço Broday, Evandro Eduardo |
| Copyright Year | 2022 |
| Description | 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. |
| Starting Page | 5429 |
| e-ISSN | 19961073 |
| DOI | 10.3390/en15155429 |
| Journal | Energies |
| Issue Number | 15 |
| Volume Number | 15 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-07-27 |
| Access Restriction | Open |
| Subject Keyword | Energies Thermal Comfort Predicted Mean Vote Adaptive Models Cluster Analysis Database |
| Content Type | Text |
| Resource Type | Article |
