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

Authors :
Stefania Cherubini
Giovanni De Cillis
Onofrio Semeraro
Stefano Leonardi
Pietro De Palma
Department of Mechanics, Mathematics and Management (DMMM)
Politecnico di Bari
Euro-Mediterranean Center on Climate Change (CMCC)
DAtascience, trAnsition, Fluid instability, contrOl, Turbulence (DATAFLOT)
Laboratoire Interdisciplinaire des Sciences du Numérique (LISN)
Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Mécanique-Energétique (M.-E.)
Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
University of Texas at Dallas [Richardson] (UT Dallas)
CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Mécanique-Energétique (M.-E.)
CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)
Source :
Renewable Energy, Renewable Energy, 2022, 183, pp.601-616. ⟨10.1016/j.renene.2021.11.037⟩, Renewable Energy, Elsevier, 2022, 183, pp.601-616. ⟨10.1016/j.renene.2021.11.037⟩
Publication Year :
2022

Abstract

International audience; 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 turbulence. We demonstrate that inflow turbulence generated by a precursor simulation radically changes the most dynamically-relevant flow structures. For the laminar-inflow case the DMD modes selected by the SP algorithm have high wavenumbers and are spatially localized. When turbulence is added at the inflow, these high-frequency modes are superseded by low-frequency modes lying in the frequency range of the wake meandering and filling the whole domain, mostly corresponding to those dynamically relevant for the precursor simulation. These results show that, in the presence of inflow turbulence, coherent structures linked to endogenous mechanisms such as tip and root vortices loose their dynamical relevance in favour of those exogenously excited by turbulence, indicating that low-dimensional models of turbine wakes should take into account atmospheric turbulence.

Details

Language :
English
ISSN :
09601481 and 18790682
Database :
OpenAIRE
Journal :
Renewable Energy, Renewable Energy, 2022, 183, pp.601-616. ⟨10.1016/j.renene.2021.11.037⟩, Renewable Energy, Elsevier, 2022, 183, pp.601-616. ⟨10.1016/j.renene.2021.11.037⟩
Accession number :
edsair.doi.dedup.....d201a1af78bf694f9b4a60f9b1b4ddfd