Validation of a visual signal system as a tool for predicting thermal comfort conditions in school environments
DOI:
https://doi.org/10.46421/entac.v20i1.6217Keywords:
Visual indicator, Thermal comfort conditions, Multidomain environmental assessment, Thermal comfort, User behaviorAbstract
In this research, the results of a pilot study aimed at validating the methodology for evaluating a visual indicator as a tool used to identify thermal comfort conditions in multidomain environments are described. The PMV/PPD code from NBR 16401-2 was used to develop an automated model in Python, which activates a signaling lamp when it identifies conditions outside the thermal comfort limits so that the occupants can respond. Data collection took place in higher education classrooms, applying questionnaires every 20 minutes and recording environmental data. Results indicated the ineffectiveness of the Analytical Method, with air velocity above 0.2 m/s in all cases, resulting in only 10% comfort according to the method. In contrast, about 70% of the votes indicated neutrality. It is concluded that the application of the analytical method, under the study conditions, was not effective in reflecting the thermal comfort reality of the users.
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