Abstract
We used large-eddy simulation (LES) to numerically simulate two differently driven indoor airflows occurring in a multizone environment. In the first case, air flowed from one zone to another through a small hole driven by the total pressure difference. In the second case, unbalanced airflows arose from the buoyancy effect, which was generated by a heat source present in a specific location. To validate the LES prediction for the indoor flow analysis, we compared our simulation results with the chamber facility experimental results and other simulation results. Based on this validation, we confirmed that the LES reliably simulates indoor airflow. In addition, we discussed the flow characteristics and investigated the feasibility of modeling the flow rate through openings using an orifice formula.
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Abbreviations
- u i :
-
Fluid velocity in the i direction
- T :
-
Temperature
- p :
-
Pressure
- T ij :
-
Subgrid-scale stress tensor
- q i :
-
Subgrid-scale heat flux
- ρ :
-
Density of air
- v :
-
Kinematic viscosity of air
- α :
-
Thermal diffusivity of air
- β :
-
Thermal expansion coefficient of air
- v T :
-
Eddy viscosity
- C v :
-
Vreman model coefficient
- C s :
-
Smagorinsky model coefficient
- Pr T :
-
Turbulent Prandtl number
- X l :
-
Position of the Lagrangian point
- x :
-
Position of the Eulerian grid point
- F i :
-
Force on the Lagrangian point
- S :
-
Heat source on the Lagrangian point
- U i :
-
Interpolated velocity at the Lagrangian point
- f i :
-
Force acting on the fluid because of the IBM
- s :
-
Heat source on the fluid because of the IBM
- ΔV :
-
Volume represented by a Lagrangian point
- Δv :
-
Volume of an Eulerian cell
- Q supply :
-
Flow rate of the supply air
- T block :
-
Temperature of the heated block
- U 0 :
-
Fluid velocity representing the degree of momentum
- C d :
-
Coefficient of discharge
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Acknowledgments
This study was supported by the Agency for Defense Development of the Korean Government (Grant No. 912873001).
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Jaewook Nam received his B.S. (2018) in Mechanical Engineering from Yonsei University, Seoul, Korea. He is an integrated Ph.D. student at the School of Mathematics and Computing, Yonsei University, Korea. His research interests include large-eddy simulation, immersed boundary methods, and the area of incompressible fluid dynamics.
Hyunwoo Nam received his Ph.D. in 2016 from the Electrical Engineering department at Columbia University. His professional interests are in the analysis of video streaming and intelligent content delivery over wireless networks. During his Ph.D., his collaboration with Bell Labs and Verizon focused on capacity planning for wireless networks, and future networks such as SDN and NFV for intelligent content delivery over wireless. His research works include CBR dispersion modeling and early warning detection system at Agency for Defense Development (ADD) in South Korea.
Changhoon Lee received his B.S. (1985) and M.S. (1987) degrees from Seoul National University, Seoul, Korea and Ph.D. (1993) in Mechanical Engineering from UC Berkeley, USA. He is a Professor at the School of Mathematics and Computing and Department of Mechanical Engineering, Yonsei University, Korea. His research interests include fundamentals of turbulence, particle-turbulence interaction, deep learning of turbulence, numerical algorithms, air pollution modeling, and stochastic process.
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Nam, J., Nam, H. & Lee, C. Large-eddy simulation for indoor flow in a multizone environment. J Mech Sci Technol 38, 2485–2494 (2024). https://doi.org/10.1007/s12206-024-0427-z
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DOI: https://doi.org/10.1007/s12206-024-0427-z