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Open AccessArticle

Study of Indoor Ventilation Based on Large-Scale DNS by a Domain Decomposition Method

1
School of Aeronautics and Astronautics, Sun Yat-Sen University, Guangzhou 510275, China
2
Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230027, China
3
Department of Mechanical Engineering, the University of Hong Kong, Hong Kong 999077, China
*
Author to whom correspondence should be addressed.
Symmetry 2019, 11(11), 1416; https://doi.org/10.3390/sym11111416
Received: 15 October 2019 / Revised: 6 November 2019 / Accepted: 8 November 2019 / Published: 15 November 2019
This paper presents a large-scale Domain Decomposition Method (DDM) based Direct Numerical Simulation (DNS) for predicting the behavior of indoor airflow, where the aim is to design a comfortable and efficient indoor air environment of modern buildings. An analogy of the single-phase convection problems is applied, and the pressure stabilized domain decomposition method is used to symmetrize the linear systems of Navier-Stokes equations and the convection-diffusion equation. Furthermore, a balancing preconditioned conjugate gradient method is utilized to deal with the interface problem caused by domain decomposition. The entire simulation model is validated by comparing the numerical results with that of recognized experimental and numerical data from previous literature. The transient behavior of indoor airflow and its complexity in the ventilated room are discussed; the velocity and vortex distribution of airflow are investigated, and its possible influence on particle accumulation is classified. View Full-Text
Keywords: indoor ventilation; turbulent flow; balancing domain decomposition method; large-scale numerical simulation indoor ventilation; turbulent flow; balancing domain decomposition method; large-scale numerical simulation
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MDPI and ACS Style

Jiang, J.; Jiang, Z.; Kwan, T.H.; Liu, C.-H.; Yao, Q. Study of Indoor Ventilation Based on Large-Scale DNS by a Domain Decomposition Method. Symmetry 2019, 11, 1416.

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