Spatiotemporal Evolution of Wind Turbine Wake Characteristics at Different Inflow Velocities

In this paper, the spatiotemporal evolution of wind turbine (WT) wake characteristics is studied based on lattice Boltzmann method-large eddy simulations (LBM-LES) and grid adaptive encryption at different incoming flow velocities. It is clearly captured that secondary flow occurs in the vortex ring...

Full description

Bibliographic Details
Main Authors: Qian Xu, Hui Yang, Yuehong Qian, Yikun Wei
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/17/2/357
_version_ 1797344163061039104
author Qian Xu
Hui Yang
Yuehong Qian
Yikun Wei
author_facet Qian Xu
Hui Yang
Yuehong Qian
Yikun Wei
author_sort Qian Xu
collection DOAJ
description In this paper, the spatiotemporal evolution of wind turbine (WT) wake characteristics is studied based on lattice Boltzmann method-large eddy simulations (LBM-LES) and grid adaptive encryption at different incoming flow velocities. It is clearly captured that secondary flow occurs in the vortex ring under shear force in the incoming flow direction, the S-wave and the Kelvin–Helmholtz instability occur in the major vortex ring mainly due to the unstable vortex ring interface with small disturbance of shear velocity along the direction of flow velocity. The S-wave and Kelvin–Helmholtz instability are increasingly enhanced in the main vortex ring, and three-dimensional disturbances are inevitable along the mainstream direction when it evolves along the flow direction. With increasing incoming flow, the S-wave and Kelvin–Helmholtz instability are gradually enhanced due to the increasing shear force in the flow direction. This is related to the nonlinear growth mechanism of the disturbance. The analysis of the velocity signal, as well as the pressure signal with a fast Fourier transform, indicates that the interaction between the vortices effectively accelerates the turbulence generation. In the near-field region of the wake, the dissipation mainly occurs at the vortex at the blade tip, and the velocity distribution appears asymmetric around the turbine centerline under shear and the mixing of fluids with different velocities in the wake zone also leads to asymmetric distributions.
first_indexed 2024-03-08T10:58:21Z
format Article
id doaj.art-911824a8eb1a40cc9560bb57d5e022c8
institution Directory Open Access Journal
issn 1996-1073
language English
last_indexed 2024-03-08T10:58:21Z
publishDate 2024-01-01
publisher MDPI AG
record_format Article
series Energies
spelling doaj.art-911824a8eb1a40cc9560bb57d5e022c82024-01-26T16:17:09ZengMDPI AGEnergies1996-10732024-01-0117235710.3390/en17020357Spatiotemporal Evolution of Wind Turbine Wake Characteristics at Different Inflow VelocitiesQian Xu0Hui Yang1Yuehong Qian2Yikun Wei3Key Laboratory of Fluid Transmission Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaKey Laboratory of Fluid Transmission Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaSchool of Mathematcial Sciences, Soochow University, Suzhou 215006, ChinaKey Laboratory of Fluid Transmission Technology of Zhejiang Province, Zhejiang Sci-Tech University, Hangzhou 310018, ChinaIn this paper, the spatiotemporal evolution of wind turbine (WT) wake characteristics is studied based on lattice Boltzmann method-large eddy simulations (LBM-LES) and grid adaptive encryption at different incoming flow velocities. It is clearly captured that secondary flow occurs in the vortex ring under shear force in the incoming flow direction, the S-wave and the Kelvin–Helmholtz instability occur in the major vortex ring mainly due to the unstable vortex ring interface with small disturbance of shear velocity along the direction of flow velocity. The S-wave and Kelvin–Helmholtz instability are increasingly enhanced in the main vortex ring, and three-dimensional disturbances are inevitable along the mainstream direction when it evolves along the flow direction. With increasing incoming flow, the S-wave and Kelvin–Helmholtz instability are gradually enhanced due to the increasing shear force in the flow direction. This is related to the nonlinear growth mechanism of the disturbance. The analysis of the velocity signal, as well as the pressure signal with a fast Fourier transform, indicates that the interaction between the vortices effectively accelerates the turbulence generation. In the near-field region of the wake, the dissipation mainly occurs at the vortex at the blade tip, and the velocity distribution appears asymmetric around the turbine centerline under shear and the mixing of fluids with different velocities in the wake zone also leads to asymmetric distributions.https://www.mdpi.com/1996-1073/17/2/357wakesvortex instabilityturbulence simulationshear actionvortex dissipation
spellingShingle Qian Xu
Hui Yang
Yuehong Qian
Yikun Wei
Spatiotemporal Evolution of Wind Turbine Wake Characteristics at Different Inflow Velocities
Energies
wakes
vortex instability
turbulence simulation
shear action
vortex dissipation
title Spatiotemporal Evolution of Wind Turbine Wake Characteristics at Different Inflow Velocities
title_full Spatiotemporal Evolution of Wind Turbine Wake Characteristics at Different Inflow Velocities
title_fullStr Spatiotemporal Evolution of Wind Turbine Wake Characteristics at Different Inflow Velocities
title_full_unstemmed Spatiotemporal Evolution of Wind Turbine Wake Characteristics at Different Inflow Velocities
title_short Spatiotemporal Evolution of Wind Turbine Wake Characteristics at Different Inflow Velocities
title_sort spatiotemporal evolution of wind turbine wake characteristics at different inflow velocities
topic wakes
vortex instability
turbulence simulation
shear action
vortex dissipation
url https://www.mdpi.com/1996-1073/17/2/357
work_keys_str_mv AT qianxu spatiotemporalevolutionofwindturbinewakecharacteristicsatdifferentinflowvelocities
AT huiyang spatiotemporalevolutionofwindturbinewakecharacteristicsatdifferentinflowvelocities
AT yuehongqian spatiotemporalevolutionofwindturbinewakecharacteristicsatdifferentinflowvelocities
AT yikunwei spatiotemporalevolutionofwindturbinewakecharacteristicsatdifferentinflowvelocities