Simulation of inhalable aerosol particle distribution generated from cooking by Eulerian approach with RNG k–epsilon turbulence model and pollution exposure in a residential kitchen space

Liu, Yu; Li, Huixing; Guo, Feng

doi:10.1007/s12273-016-0313-4

Cited by 35 publications

(12 citation statements)

References 17 publications

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“…The cooking personnel was simplified into a rectangular block model (height 1.68 m, head ratio 18%, upper body proportion 40%, lower body proportion 42%), and the personnel stands at 0.10 m from the counter. 32 Figure 1 is a schematic diagram of the volume mesh division in the residential kitchen. The octree method was used to divide different numbers of unstructured grids to facilitate subsequent grid independence tests.…”

Section: Geometric Modelmentioning

confidence: 99%

Numerical study of the influence of ventilation modes on the distribution and deposition of particles generated from a specific cooking process in a residential kitchen

Wang

Guo

2020

Indoor and Built Environment

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Computational fluid dynamics have been used to numerically study the particle diffusion and deposition in a residential kitchen under several ventilation modes. First, combining the renormalized group turbulent model with cooking release conditions, the airflow field in a kitchen was simulated and its airflow characteristics were analysed. Second, the drift flux model was adopted to predict the spatial distribution of particles, quantifying various mechanisms that affect the particle diffusion. Finally, the deposition flux towards the wall was determined by a semi-empirical particle deposition model. The results show that the rising thermal plume has a great influence on the diffusion of particles. When particles with small sizes diffuse in the kitchen, the influence of turbulence plays a crucial role. The case studies show that the ventilation form is an important factor affecting the concentration distribution and deposition of particles. However, the ultrafine particles distribution with different sizes is little sensitized to changes of the airflow field. The results also show that the main determinant of the deposition flux is the particle concentration near the wall. There is not much difference in the particle deposition flux under different particle sizes, which is related to the larger air exchange rate.

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Section: Geometric Modelmentioning

confidence: 99%

Numerical study of the influence of ventilation modes on the distribution and deposition of particles generated from a specific cooking process in a residential kitchen

Wang

Guo

2020

Indoor and Built Environment

Self Cite

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“…For this reason, turbulence needs to be accurately modeled. The RNG k-ε model was proven by Liu et al [15] to be accurate in indoor spaces. Due to small density gradients in the space, the Boussinesq approximation is used to account for buoyancy effects.…”

Section: Cfd Modelmentioning

confidence: 99%

Technology adjustment for manufacturing of flexible thin-film CdTe/CdS photovoltaic structures

Znajdek¹,

Sibiński²,

Lisik³

2018

REPQJ

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An intermittent personalized ventilation PVMmodule (PVMM) coupled with a conventional mixing ventilation system (MV) was studied to investigate its ability in protecting occupants from indoor contaminants. This study examines the intermittent PVM operating frequency range that minimizes active and passive contaminant concentration near the occupant and nearby surfaces. A 3D CFD model of a typical office space was developed for this study and validated through experiments done in a climatic chamber. Simulations were performed under different typical indoor frequencies (0.3 Hz, 0.5 Hz and 1 Hz) and a typical personalized ventilation average flow rate (7.5 L/s). The space was considered to be infected with CO 2 and particles of diameter 1 µm. Results showed that under a frequency range of [0.78 Hz-0.94 Hz], the intermittent PVM was able to provide good occupant protection with a satisfactory ventilation efficiency of around 77%, intake fraction range of [11.8 %, 26.8 %] and a deposition fraction range of [7.5 %, 8.75 %]. Moreover, the system was able to reduce energy costs by 16.1 % compared to steady state personalized ventilator.

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“…Previous studies have shown that 35.7% of respiratory diseases, 22% of chronic lung diseases, and 15% of bronchitis diseases are associated with indoor air pollution [11]. According to epidemiological statistics, lung cancer incidence rate among women in China (20.4 cases per 10 million women) was higher than those in several European countries with higher prevalence of female smokers [12,13]. This may be because women in China are more likely to be exposed to airborne particles from solid fuel stoves.…”

Section: Introductionmentioning

confidence: 99%

Cytotoxicity Analysis of Biomass Combustion Particles in Human Pulmonary Alveolar Epithelial Cells on an Air-Liquid Interface/Dynamic Culture Platform

Liu

Zhang

et al. 2021

Preprint

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BackgroundExposure to indoor air pollution from solid fuels combustion is associated with lung diseases and cancer. This study aimed to explore the cytotoxicity and molecular mechanisms of biomass combustion-derived particles in human pulmonary alveolar epithelial cells (HPAEpiC) using a platform that combines air-liquid-interface (ALI) and dynamic culture (DC) systems.MethodsHPAEpiC were cultured on the surface of polycarbonate (PC) membranes in ALI-DC platform. The top surface of cells was sprayed with a solution of biomass combustion soluble constituents (BCSCs) and simultaneously nourished with medium flowing from below PC membranes. BCSC particles' morphology and dosages deposited on the chip was determined for particle characterization. A flow cytometer, laser scanning confocal microscopy (LSCM), and transmission electron microscope (TEM) were used to investigate the apoptosis of HPAEpiC and the changes in the ultrastructure of HPAEpiC induced by BCSCs. Additionally, the underlying apoptotic pathway was studied through the determination of the protein expression levels by western blotting.ResultsScanning electron microscope (SEM) results demonstrated that the sample processing and delivering approach were very suitable for pollutant exposure of the platform. The decline in cell viability and increase in apoptosis rate after exposure to similar doses of BCSCs were more under ALI-DC conditions than under submerged conditions. This indicated that the ALI-DC platform is a superior system for investigating cytotoxicity of indoor air pollutants in lung cells. The morphology and ultrastructure of the cells were damaged after exposure to BCSCs. Our results demonstrated that the p53 pathway was activated after exposure of cells cultured using this platform to BCSCs. This further decreased the Bcl-2/Bax ratio thereby activating the expression of caspase-9 and caspase-3, which in turn induced apoptosis in HPAEpiC. Additionally, antioxidants (N-acetyl-cysteine; NAC) could significantly alleviate the cytotoxicity induced by BCSCs.ConclusionsA novel ALI-DC platform was successfully presented to study cytotoxicity of air pollution on lung cells. Based on the platform, the BCSCs was demonstrated that it could damage mitochondria, produce ROS, and activate p53 in HPAEpiC. Furthermore, BCSCs decreased the Bcl-2/Bax ratio and efficiently upregulated the expression of cleaved caspases-9 and − 3, ultimately inducing apoptosis.

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Simulation of inhalable aerosol particle distribution generated from cooking by Eulerian approach with RNG k–epsilon turbulence model and pollution exposure in a residential kitchen space

Cited by 35 publications

References 17 publications

Numerical study of the influence of ventilation modes on the distribution and deposition of particles generated from a specific cooking process in a residential kitchen

Numerical study of the influence of ventilation modes on the distribution and deposition of particles generated from a specific cooking process in a residential kitchen

Technology adjustment for manufacturing of flexible thin-film CdTe/CdS photovoltaic structures

Cytotoxicity Analysis of Biomass Combustion Particles in Human Pulmonary Alveolar Epithelial Cells on an Air-Liquid Interface/Dynamic Culture Platform

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