Abstract
Various computer-simulated person (CSP) models have been used to represent occupants in indoor airflow simulations using computational fluid dynamics (CFD). Despite the capability of CFD to predict temperature and velocity fields in an automotive cabin or a room in a building, it is more difficult to evaluate the degree of thermal comfort considered by the CSP models. Up to now, the shapes of CSP models and their grid characteristics have not been studied for the evaluation of indoor thermal comfort. In this paper, the effects of the human model’s shape and the physical characteristics of the grids are studied. The FLUENT code is used for analysis, and the predicted mean vote (PMV), predicted percentage dissatisfied (PPD), and equivalent homogeneous temperature (EHT) values are used for the evaluation and comparison of thermal comfort. The computational results show that the CSP shape and grid features do not affect the global flow fields or the evaluations of PMV and PPD. However, more precise results are obtained from the evaluation of thermal comfort by EHT when detailed human models with a prism grid are used.
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Recommended by Associate Editor Do Hyung Lee
An earlier version of this paper was presented at the KSCFE Spriing Conference on May 26, 2011.
Jin-Won Seo received a B.S. and M.S. in Mechanical Engineering from Ajou University in 2005 and 2007. He is currently a Ph.D candidate at the Department of Mechanical Engineering at Ajou University in Gyeonggi, Korea.
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Seo, J., Park, J. & Choi, Y. Numerical study on human model shape and grid dependency for indoor thermal comfort evaluation. J Mech Sci Technol 27, 397–405 (2013). https://doi.org/10.1007/s12206-012-1252-3
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DOI: https://doi.org/10.1007/s12206-012-1252-3