Abstract
Indoor air pollution directly threatens human health, with prolonged exposure to pollutants leading to respiratory problems, immune system issues, and even cancer. Thus, implementing advanced air purification technologies is crucial to effectively mitigate indoor pollutants. The current common air purifiers have low removal efficiency for pollutants, a high cost of replacing adsorption materials, and a single function. Therefore, a novel air purification system that provides high-efficiency and rapid air purification and enhances the reusability of adsorption materials is in demand. This study evaluated the purification effect of the New Air Purification System under the internal circulation mode using computational fluid dynamics. The results showed that (1) the air exchange rates of the New Air Purification System were adjusted to 42.6, 85.2, and 127.8 h−1, respectively, when the release rates of 222Rn were 2.268, 4.536, 6.804, and 9.072 Bqm−2h−1. The indoor 222Rn concentration was reduced to < 21% of the background 222Rn concentration. (2) The initial concentration of indoor formaldehyde was 0.1 mg/m3 and increased to 0.0204, 0.0181, and 0.0174 mg/m3, respectively. These values were less than the World Health Organization’s recommended limits. This study provides a solid foundation for designing and optimising the New Air Purification System, provides technical guidance for the next step in its design, and would substantially help in improving indoor air quality and living conditions.
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Data Availability
The datasets generated and analysed during this study are available from the corresponding author upon reasonable request.
Abbreviations
- C 1 :
-
amount of 222Rn
- C 2 :
-
amounts of formaldehyde
- C 3 :
-
inertia resistance value (1/m)
- C 4 :
-
inertial resistance (N)
- C u :
-
Cunningham slip correction factor
- C μ :
-
constant (0.09)
- C ε1 :
-
empirical constants (1.42)
- C ε2 :
-
empirical constants (1.68)
- C ij :
-
viscous drag coefficients
- D :
-
diameter of the particle (m)
- D 1 :
-
diffusion coefficients of 222Rn in the air (cm2/s)
- D 2 :
-
diffusion coefficients of formaldehyde in the air (cm2/s)
- D p :
-
particle size (mm)
- D ij :
-
inertial drag coefficients
- F 1 :
-
formaldehyde flux (Mg·m−2 h−1)
- F 2 :
-
radon flux (Bq·m−2 h−1)
- J 1 :
-
radon release rate
- J 2 :
-
formaldehyde release rate
- K :
-
activated carbon's dynamic adsorption coefficient for 222Rn (L/g)
- k:
-
turbulent kinetic energy (J)
- k b :
-
Boltzmann constant (m2 kg s−2 K−1) (1.380649×10−23)
- l m :
-
mean free path (m) of air molecules (6.7×10−8)
- p :
-
static pressure (N/m2)
- Q e :
-
material's adsorption capacity for formaldehyde (L/g)
- s :
-
surface area of the ventilation inlet (m2)
- S 1 :
-
surface area of radon released
- S 2 :
-
surface area of formaldehyde released
- S p :
-
source items
- S (1) :
-
surface area of the wall (m2)
- S (2) :
-
surface area of the floor (m2)
- T :
-
temperature (K)
- t :
-
time (s)
- U i,U j :
-
velocity vectors (m/s)
- u 1 :
-
diffusion velocities of 222Rn (m/s)
- u 2 :
-
diffusion velocities of formaldehyde (m/s)
- V :
-
exposure room volume (m3)
- v :
-
wind speed at the system's exit (m/s)
- i,j :
-
the three velocity components
- 1/α :
-
viscous resistance (N)
- λ 1 :
-
radon decay constant (s)
- λ 2 :
-
radon decay constant (s)
- η 1 :
-
formaldehyde adsorption efficiency (%)
- η 2 :
-
radon adsorption efficiency (%)
- ε :
-
porosity (%)
- ρ :
-
fluid density (kg/m3)
- κ :
-
permeability (m2)
- μ :
-
dynamic viscosity (N·s/m2)
- μ a :
-
viscosity of air (Pa·s) (1.84×10−5)
- μ e :
-
effective viscosity (N·s/m2)
- μ t :
-
turbulent viscosity (N·s/m2)
- σ ε :
-
empirical constants (≈1.393)
- σ k :
-
empirical constants (≈1.393)
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Acknowledgements
This study was supported by Hunan Students’ Platform for innovation and entrepreneurship training programme (202210555015).
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All authors contributed to the study’s conception and design. Xiaohao Qi, Hongtao Huang, Shaohua Hu, and Weijie Sun performed material preparation, data collection, and analysis. Xiaohao Qi wrote the first draft of the manuscript, and all authors commented on previous versions. All authors read and approved the final manuscript.
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Qi, X., Sun, W., Huang, H. et al. Numerical Simulation and Optimisation of a New Air Purification System Based on CFD. Water Air Soil Pollut 234, 585 (2023). https://doi.org/10.1007/s11270-023-06591-3
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DOI: https://doi.org/10.1007/s11270-023-06591-3