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A Review on Two Methods to Detect Spatio-Temporal Patterns in Wind Turbines

  • Soledad Le ClaincheEmail author
  • José M. Vega
  • Xuerui Mao
  • Esteban Ferrer
Chapter
Part of the Springer Tracts in Mechanical Engineering book series (STME)

Abstract

This Chapter presents a review on two methods for the analysis of flow structures in wind turbines. These methods are higher order dynamic mode decomposition and spatio-temporal Koopman decomposition, which are highly efficient tools suitable for the detection of spatio-temporal patterns in complex flows. These two techniques have been applied to detect the main flow structures in a cross-flow wind turbine in turbulent regime, and in an horizontal wind turbine, which is laminar in the near field but transitioning to turbulence in the far field. Using these methods, a reduced number of traveling waves which are responsible for triggering the flow transition, are able to describe the aforementioned complex flows.

Keywords

Wind turbines Flow structures DMD HODMD STKD 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Soledad Le Clainche
    • 1
    Email author
  • José M. Vega
    • 1
  • Xuerui Mao
    • 2
  • Esteban Ferrer
    • 1
  1. 1.School of Aerospace EngineeringUniversidad Politécnica de MadridMadridSpain
  2. 2.Faculty of EngineeringThe University of NottinghamNottinghamUK

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