Air quality and thermal comfort analysis of kitchen environment with CFD simulation and experimental calibration

Abstract During cooking fume particulate and high temperature are unavoidable in indoor environment and could pose serious threat to human health. This paper presents the theoretical formulas with experimental calibration and establishes an improved computational fluid dynamics (CFD) model based on Fluent V19.04. The present CFD model can accurately reflect the variation of fume concentration and assess air pollution in kitchen so as to improve thermal environment. In the present model, a hybrid grid by combing structured and unstructured grids is used to discretize the computational domain. The standard k-e turbulence model combined with a wall function is utilized to analyze the violent turbulent movement of particulate matter. The model is calibrated by the test data obtained from fume concentration experiments during cooking in kitchen. A relationship between the measured cooking fume concentration and the simulated steam vapor concentration is established approximately. Based on the improved CFD model, the movement of particulate matter under the effect of range hood with air curtain is simulated. The effects of exhaust volume on the particulate matter movement, air age, PMV and PPD indices are also investigated. The present CFD model provides a practical tool to evaluate the air quality and thermal comfort of the kitchen environment.

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