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Recent Advances in CFD for Wind and Tidal Offshore Turbines pp 83–93Cite as

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

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Part of the book series: Springer Tracts in Mechanical Engineering ((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.

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References

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Author information

Authors and Affiliations

  1. School of Aerospace Engineering, Universidad Politécnica de Madrid, 28040, Madrid, Spain

    Soledad Le Clainche, José M. Vega & Esteban Ferrer

  2. Faculty of Engineering, The University of Nottingham, Nottingham, NG7 2RD, UK

    Xuerui Mao

Authors
  1. Soledad Le Clainche
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  2. José M. Vega
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  3. Xuerui Mao
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  4. Esteban Ferrer
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Corresponding author

Correspondence to Soledad Le Clainche .

Editor information

Editors and Affiliations

  1. ETSIAE-UPM - School of Aeronautics, Universidad Politécnica de Madrid, Madrid, Spain

    Esteban Ferrer

  2. Escola d’Enginyeria de Telecomunicació i Aeroespacial de Castelldefels, Universitat Politècnica de Catalunya, Castelldefels, Barcelona, Spain

    Adeline Montlaur

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Le Clainche, S., Vega, J.M., Mao, X., Ferrer, E. (2019). A Review on Two Methods to Detect Spatio-Temporal Patterns in Wind Turbines. In: Ferrer, E., Montlaur, A. (eds) Recent Advances in CFD for Wind and Tidal Offshore Turbines. Springer Tracts in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-11887-7_8

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  • DOI: https://doi.org/10.1007/978-3-030-11887-7_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11886-0

  • Online ISBN: 978-3-030-11887-7

  • eBook Packages: EngineeringEngineering (R0)

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