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Simple Models for Cross Flow Turbines Read chapter Read first chapter

2019 | OriginalPaper | Chapter

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

Authors : Soledad Le Clainche, José M. Vega, Xuerui Mao, Esteban Ferrer

Published in: Recent Advances in CFD for Wind and Tidal Offshore Turbines

Publisher: Springer International Publishing

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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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previous chapter A Higher-Order Chimera Method Based on Moving Least Squares
next chapter Towards Numerical Simulation of Offshore Wind Turbines Using Anisotropic Mesh Adaptation
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Metadata
Title
A Review on Two Methods to Detect Spatio-Temporal Patterns in Wind Turbines
Authors
Soledad Le Clainche
José M. Vega
Xuerui Mao
Esteban Ferrer
Copyright Year
2019
Book
Recent Advances in CFD for Wind and Tidal Offshore Turbines

Print ISBN: 978-3-030-11886-0

Electronic ISBN: 978-3-030-11887-7

Copyright Year: 2019

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