The effect of Coriolis force on the coherent structures in the wake of a 5MW wind turbine

This study aims to investigate the effect of Coriolis acceleration on the coherent structures in the wake of the NREL-5MW wind turbine, using the Dynamic Mode Decomposition (DMD). The Coriolis acceleration induces an altitude-dependent lateral deviation of the incoming wind direction (veer), which can substantially affect the performance of wind turbines. Large eddy precursor simulations are carried out to generate turbulent inlet velocity profiles. The presence of a veer stretches the turbine wake and influences the dynamics of the coherent structures. We decompose the flow structures to extract a limited subset of relevant flow features that optimally approximate the original data sequence, using the Sparsity-Promoting (SP) version of the DMD algorithm to rank the most relevant modes. It is found that wind veer induces coherent structures with a spanwise velocity component of the same order of the streamwise one and oblique shape. Using proper orthogonal decomposition, we analyze the contribution of the coherent structures to the mean kinetic entrainment. We found that due to wind veer, shorter wavelength mode pairs contribute mostly to wake recovery. Finally, we derive a reduced order model using approximately 70 modes pairs, which reproduces the flow structure with 5%–7% error. • DMD is applied to NREL-5MW wind turbine wake flow in presence of Coriolis effect. • Wind veer induces spanwise velocity and oblique features in coherent structures. • Due to wind veer, shorter wavelength modes contribute mostly to wake recovery. • A Reduced Order Model using 70 modes reproduces the flow structure with 5%–7% error.

Authors

Institutions

Publication Details

Journal
Energy Conversion and Management X
Published
2024-12-25
DOI
https://doi.org/10.1016/j.ecmx.2024.100830
Citations
1
Primary Topic
Wind Energy Research and Development
Type
article
Field-Weighted Citation Impact
1.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The effect of Coriolis force on the coherent structures in the wake of a 5MW wind turbine

Stefano Leonardi, Claudio Bernardi, Alessandro Giannotta, Stefania Cherubini et al.
1 citations
Energy Conversion and Management X
Wind Energy Research and Development
1.30
article

The effect of Coriolis force on the coherent structures in the wake of a 5MW wind turbine

Stefano Leonardi, Claudio Bernardi, Alessandro Giannotta, Stefania Cherubini, P. De Palma, Felice Manganelli
article en
1 citations

Abstract

This study aims to investigate the effect of Coriolis acceleration on the coherent structures in the wake of the NREL-5MW wind turbine, using the Dynamic Mode Decomposition (DMD). The Coriolis acceleration induces an altitude-dependent lateral deviation of the incoming wind direction (veer), which can substantially affect the performance of wind turbines. Large eddy precursor simulations are carried out to generate turbulent inlet velocity profiles. The presence of a veer stretches the turbine wake and influences the dynamics of the coherent structures. We decompose the flow structures to extract a limited subset of relevant flow features that optimally approximate the original data sequence, using the Sparsity-Promoting (SP) version of the DMD algorithm to rank the most relevant modes. It is found that wind veer induces coherent structures with a spanwise velocity component of the same order of the streamwise one and oblique shape. Using proper orthogonal decomposition, we analyze the contribution of the coherent structures to the mean kinetic entrainment. We found that due to wind veer, shorter wavelength mode pairs contribute mostly to wake recovery. Finally, we derive a reduced order model using approximately 70 modes pairs, which reproduces the flow structure with 5%–7% error. • DMD is applied to NREL-5MW wind turbine wake flow in presence of Coriolis effect. • Wind veer induces spanwise velocity and oblique features in coherent structures. • Due to wind veer, shorter wavelength modes contribute mostly to wake recovery. • A Reduced Order Model using 70 modes reproduces the flow structure with 5%–7% error.

Energy Conversion and Management XVol. 25
The University of Texas at Dallas (US), Polytechnic University of Bari (IT)
Affordable and clean energy
Openalex Percentile: Top 11%
Wind Energy Research and Development
1.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.