title: Towards reduced order modelling for predicting the dynamics of coherent vorticity structures within wind turbine wakes.
abstract: The dynamics of the velocity field resulting from the interaction between the atmospheric boundary layer and a wind turbine array can affect significantly the performance of a wind power plant and the durability of wind turbines. In this work, dynamics in wind turbine wakes and instabilities of helicoidal tip vortices are detected and characterized through modal decomposition techniques. The dataset under examination consists of snapshots of the velocity field obtained from large-eddy simulations (LES) of an isolated wind turbine, for which aerodynamic forcing exerted by the turbine blades on the atmospheric boundary layer is mimicked through the actuator line model. Particular attention is paid to the interaction between the downstream evolution of the helicoidal tip vortices and the alternate vortex shedding from the turbine tower. The LES dataset is interrogated through different modal decomposition techniques, such as proper orthogonal decomposition and dynamic mode decomposition. The dominant wake dynamics are selected for the formulation of a reduced order model, which consists in a linear time-marching algorithm where temporal evolution of flow dynamics is obtained from the previous temporal realization multiplied by a time-invariant operator.This article is part of the themed issue 'Wind energy in complex terrains'.
authors.affiliation: Wind Fluids and Experiments (WindFluX) Laboratory, The University of Texas at Dallas, Richardson, TX, USA.
authors.forename: M
authors.initials: M
authors.lastname: Debnath
authors.affiliation: CFD Laboratory, Mechanical Engineering Department, The University of Texas at Dallas, Richardson, TX, USA.
authors.forename: C
authors.initials: C
authors.lastname: Santoni
authors.affiliation: CFD Laboratory, Mechanical Engineering Department, The University of Texas at Dallas, Richardson, TX, USA.
authors.forename: S
authors.initials: S
authors.lastname: Leonardi
authors.affiliation: Wind Fluids and Experiments (WindFluX) Laboratory, The University of Texas at Dallas, Richardson, TX, USA valerio.iungo@utdallas.edu.
authors.forename: G V
authors.identifier: http://orcid.org/0000-0002-0990-8133
authors.initials: GV
authors.lastname: Iungo
keywords: dynamic mode decomposition; large-eddy simulation; proper orthogonal decomposition; reduced order model; wake; wind turbine