2022
DOI: 10.1016/j.renene.2021.11.037
|View full text |Cite
|
Sign up to set email alerts
|

The influence of incoming turbulence on the dynamic modes of an NREL-5MW wind turbine wake

Abstract: Knowledge of the dynamics of wind turbine wakes and its dependence on the incoming boundary layer is fundamental to optimize and control the power production of wind farms.This work aims at investigating the effect of inflow turbulence on the wake of the NREL-5MW wind turbine. Sparsity-Promoting Dynamic Mode Decomposition (SP-DMD) is performed on snapshots extracted from large-eddy simulations of the turbine wake, for detecting the most dynamically-relevant flow structures in the presence or absence of inflow … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

2
25
1

Year Published

2022
2022
2025
2025

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 35 publications
(28 citation statements)
references
References 36 publications
2
25
1
Order By: Relevance
“…Here, the first wake is allowed to breakdown to create an unsteady inflow to the second turbine. This is similar to De Cillis et al [14], except that the source of the unsteady inflow in the present study is the upstream turbine wake. De Cillis et al found that atmospheric turbulence drastically altered the dynamics of the wake when compared to the laminar inflow case.…”
Section: Introductionsupporting
confidence: 87%
See 1 more Smart Citation
“…Here, the first wake is allowed to breakdown to create an unsteady inflow to the second turbine. This is similar to De Cillis et al [14], except that the source of the unsteady inflow in the present study is the upstream turbine wake. De Cillis et al found that atmospheric turbulence drastically altered the dynamics of the wake when compared to the laminar inflow case.…”
Section: Introductionsupporting
confidence: 87%
“…Debnath et al [13] observed that the inclusion of the tower and nacelle in ALM-LES simulations with laminar inflow altered some of the tip vortex breakdown mechanisms identified in the case without supporting structures. De Cillis et al [14] applied DMD to the flow of a wind turbine wake with and without background turbulence and concluded that in the turbulent case, the exogenous background flow dynamics prevail compared to the endogenous higher frequency dynamics of the wake. Additionally to the diagnostics, the modes can also be used to build reduced order models for the temporal prediction of the flow by either projection in the case of POD [15], or by directly using the known mode frequencies in the case of DMD [16].…”
Section: Introductionmentioning
confidence: 99%
“…As shown in detail in Ref. [23], the time-and spaceaveraged streamwise velocity profiles are well fitted with a logarithmic law in the inner region, starting from the region on top of the roughness elements, while the profile in the outer region is well described by a power law having shear coefficient α = 0.27. The turbulence intensity is approximately 10% at the hub height.…”
Section: Simulation Setupmentioning
confidence: 54%
“…However, as recently shown in Ref. [23] by means of dynamic mode decomposition, these highly energetic vortical structures loose their dynamical relevance when the turbine is impinged by a turbulent inflow. This suggests that the entrainment of the outer flow as well as the wake recovery, might be considerably affected as well.…”
Section: Introductionmentioning
confidence: 58%
“…High turbulence level has been shown to accelerate the disintegration of coherent vortex rings in the simulations of Yılmaz and Meyers 45 . Also, for a fixed-bottom wind turbine with turbulent inflow, De Cillis et al 47 observed that the modes due to tip vortex instabilities are superseded by modes related to flow fluctuations coming from incoming turbulence. Nevertheless, the motion of floating turbines imposes very specific perturbations, that are not present on fixed-bottom turbines.…”
Section: B Comparison To the Stability Theorymentioning
confidence: 99%