Symmetry (Nov 2019)

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

  • Junyang Jiang,
  • Zichao Jiang,
  • Trevor Hocksun Kwan,
  • Chun-Ho Liu,
  • Qinghe Yao

DOI
https://doi.org/10.3390/sym11111416
Journal volume & issue
Vol. 11, no. 11
p. 1416

Abstract

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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.

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