Abstract
Thermal comfort is one of the most influential variable to the measurable environmental quality. The most used mechanism to measure thermal comfort in a moderate environment is the Predicted Mean Vote (PMV) of the ISO 7730 standard [1]. Studies show discrepancies between the PMV and the occupants’ thermal sensation vote (TSV). The purpose of this study is to analyze the influence of the metabolism on the PMV model that represents the real sensation of students while working on a smart environment. Personal and lifestyle data was collected through questionnaires. The metabolism was calculated through six different methods. A comparison found that the study of Gilani et al. [2] was more accurate considering the TSV. Statistical tests were used to analyze the difference and compare the groups of quantitative, binary and nominal variables with significance level of 0,05. Using Generalized Linear Models (GLM) and the metabolism model of Gilani et al. [2] two models were adjusted. It was shown that gender and drug (medicaments) usage have an influence of approximate 10% over the metabolism. The new models were used to calculate PMVx and PMVy. Both PMVx and PMVy were found to be closer to the TSV than the PMV calculated with the metabolism obtained through the activity (1,2 met), though limited by the results from Gilani et al. [2]. These results show that the evolution of the environments such as the new smart teaching environments drive the need for improvement in thermal comfort studies using personal variables.
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Avelino, A.D., da Silva, L.B., Souza, E.L. (2019). The Influence of the Metabolism in the PMV Model from ISO 7730 (2005). In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 819. Springer, Cham. https://doi.org/10.1007/978-3-319-96089-0_6
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