Study on Spatial and Temporal Distribution Characteristics of the Cooking Oil Fume Particulate and Carbon Dioxide Based on CFD and Experimental Analyses

The cooking oil fume particulate (COFP) produced by indoor cooking can harm human health seriously, and therefore requires urgent monitoring and optimization. In this paper, the kitchen cooking simulation process was established by using computational fluid dynamics (CFD) based on the fluid dynamics...

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Bibliographic Details
Published inAtmosphere Vol. 14; no. 10; p. 1522
Main Authors Ding, Minting, Zhang, Shunyu, Wang, Jiahua, Ye, Feng, Chen, Zhenlei
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.09.2023
Subjects
Accuracy
Air pollution
By-products
Carbon dioxide
Carbon dioxide concentration
Computational fluid dynamics
Cooking
cooking oil fume particulate
Cooking oils
Correlation
Correlation analysis
Distribution
Environmental aspects
Environmental monitoring
Experiments
Fluid dynamics
Human error
Hydrodynamics
Indoor air quality
Kitchens
Oils and fats, Edible
Optimization
Outdoor air quality
Respiration
Simulation
spatial and temporal distributions
Spatial distribution
Temporal distribution
China
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Summary:The cooking oil fume particulate (COFP) produced by indoor cooking can harm human health seriously, and therefore requires urgent monitoring and optimization. In this paper, the kitchen cooking simulation process was established by using computational fluid dynamics (CFD) based on the fluid dynamics theory. Combined with the user defined function (UDF), the spatial and temporal distributions of COFP and carbon dioxide (CO2) during the cooking process were simulated and analyzed, respectively. Both simulation results were verified using experimental data. Moreover, this paper introduces a COFP concentration correlation function that utilizes the spatiotemporal correlation between COFP and CO2 concentrations during the cooking process. The function is based on the spatiotemporal distribution of CO2 concentration. By comparing it with traditional calculations, the proposed function is shown to achieve a remarkable 70% improvement in efficiency and maintain an accuracy rate exceeding 90%. This enables the rapid analysis and control of COFP concentration through monitoring and analyzing CO2 levels in the kitchen.
ISSN:2073-4433
2073-4433
DOI:10.3390/atmos14101522