Near-wall modeling of forests for atmosphere boundary layers using lattice Boltzmann method on GPU
Journal article, 2022

In this paper, the simulation and modeling of the turbulent atmospheric boundary layers (ABLs) in the presence of forests are studied using a lattice Boltzmann method with large eddy simulation, which was implemented in the open-source program GASCANS with the use of Graphic Processing Units (GPU). A method of modeling forests in the form of body forces injected near the wall is revisited, while the effects of leaf area density (LAD) on the model accuracy is further addressed. Since a uniform cell size is applied throughout the computational domain, the wall-normal height of the near-wall cells is very large, theoretically requiring a wall function to model the boundary layer. However, the wall function is disregarded here when the forest is modeled. This approximation is validated based on the comparison with previous experimental and numerical data. It concludes that for the ABL conditions specified in this study as well as a large body of literature, the forest forces overwhelm the wall friction so that the modeling of the latter effect is trivial. Constant and varying LAD profiles across the forest zone are defined with the same total leaf area despite the varying one being studied previously. It is found that the two LAD profiles provide consistent predictions. The present forest modeling can therefore be simplified with the use of the constant LAD without degrading the model accuracy remarkably.

large-eddy simulation

GPU

forest modelling

wing energy

atmospheric boundary layer

lattice-Boltzmann method

Author

Xinyuan Shao

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Marta Camps Santasmasas

Xiao Xue

Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics

Jiqiang Niu

Lars Davidson

Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics

Alistair J Revell

Huadong Yao

Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics

Engineering Applications of Computational Fluid Mechanics

1994-2060 (ISSN) 1997-003X (eISSN)

Vol. 16 1 2142-2155

Design of the aerodynamic properties of an electric aircraft

AoA Energy, 2021-01-01 -- 2022-12-31.

AoA Transport, 2021-01-01 -- 2022-12-31.

Areas of Advance

Transport

Energy

Subject Categories

Applied Mechanics

Earth and Related Environmental Sciences

Computer Science

Infrastructure

C3SE (Chalmers Centre for Computational Science and Engineering)

DOI

10.1080/19942060.2022.2132420

More information

Latest update

10/27/2023