TY - JOUR
T1 - GPU-enabled high-order gas-kinetic scheme for actuator line model simulations of wind turbine wakes
AU - Huo, Pengyu
AU - Pan, Liang
AU - Wang, Ziwen
AU - Cao, Guiyu
AU - Vogel, Christopher
AU - Xu, Kun
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2025
Y1 - 2025
N2 - For the first time, we integrate the actuator line model (ALM) into a fourth-order gas-kinetic scheme (GKS) to accurately simulate wind turbine wakes. We first extend the GKS to the simulation of weakly compressible flows within a well-developed two-stage fourth-order framework. The ALM is included as an external body force term in the momentum equation for the GKS. The in-house second-order and fourth-order GKS with ALM is implemented on Graphics Processing Units (GPU) to leverage their parallel computing capabilities for wake turbulence simulation. The NREL 5 MW reference wind turbine is simulated using the GPU-enabled second-order and fourth-order GKS with ALM. The normal and tangential forces acting on the turbine blades agree well between the second-order and fourth-order GKS, indicating that the numerical discretization error has a very limited impact on the blade force predictions. For the wind turbine wake, the instantaneous wake turbulent structures, the time-averaged velocity and turbulent kinetic energy from the second-order GKS with locally-refined grids converge to those from the fourth-order GKS with uniform grids, demonstrating that the high-order numerical scheme improves the resolution of the vortex-dominated wake turbulence. In addition, the fourth-order GKS with uniform grid is more efficient than the second-order GKS with locally-refined grid.
AB - For the first time, we integrate the actuator line model (ALM) into a fourth-order gas-kinetic scheme (GKS) to accurately simulate wind turbine wakes. We first extend the GKS to the simulation of weakly compressible flows within a well-developed two-stage fourth-order framework. The ALM is included as an external body force term in the momentum equation for the GKS. The in-house second-order and fourth-order GKS with ALM is implemented on Graphics Processing Units (GPU) to leverage their parallel computing capabilities for wake turbulence simulation. The NREL 5 MW reference wind turbine is simulated using the GPU-enabled second-order and fourth-order GKS with ALM. The normal and tangential forces acting on the turbine blades agree well between the second-order and fourth-order GKS, indicating that the numerical discretization error has a very limited impact on the blade force predictions. For the wind turbine wake, the instantaneous wake turbulent structures, the time-averaged velocity and turbulent kinetic energy from the second-order GKS with locally-refined grids converge to those from the fourth-order GKS with uniform grids, demonstrating that the high-order numerical scheme improves the resolution of the vortex-dominated wake turbulence. In addition, the fourth-order GKS with uniform grid is more efficient than the second-order GKS with locally-refined grid.
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:001524414600017
UR - https://www.scopus.com/pages/publications/105007608286
U2 - 10.1088/1742-6596/3016/1/012017
DO - 10.1088/1742-6596/3016/1/012017
M3 - Conference article published in journal
AN - SCOPUS:105007608286
SN - 1742-6588
VL - 3016
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012017
T2 - 10th Wake Conference 2025
Y2 - 10 June 2025 through 12 June 2025
ER -