Modelling and Assessing the Near-Wake Representation and Turbulence Behaviour of Control-Oriented Wake Models

Paul Hulsman, Luis Martínez-Tossas, Nicholas Hamilton, Martin Kühn

Research output: Contribution to journalArticlepeer-review

1 Scopus Citations

Abstract

Due to the interaction between the wake of an upstream turbine on a downstream turbine, power losses and increased fatigue loads occur. By yawing the upstream turbine with regard to the wind direction, one can potentially reduce the power losses of the downstream turbine and reduce the fatigue loads. The evolution of the wake depends on the pressure gradient within the near-wake region and the turbulent kinetic energy and must be incorporated in existing wake steering algorithms to provide an accurate estimation of the wake flow. This paper will show a first approach to implement a near-wake model and a turbulence model in the curled wake model within the controls-oriented framework FLORIS. The near-wake model is based on an analytical expression of the velocity profile to model the pressure gradient. Furthermore, two turbulence models are incorporated within the curled wake model based on a Gaussian-distribution and a mixing length formulation. The adapted curled wake model is then assessed with the measurement data acquired in the wind tunnel at ForWind-University of Oldenburg. The evaluation of the models show good agreement for the velocity deficit and representation of the near-wake region. Furthermore, the turbulent kinetic energy behaved as expected in comparison to other work, showing a ring of high turbulent kinetic energy at non-yawed condition which is deflected to a curled shape at large yaw angles with the turbulence model based on a mixing length formulation.

Original languageAmerican English
Article numberArticle No. 022056
Number of pages11
JournalJournal of Physics: Conference Series
Volume1618
Issue number2
DOIs
StatePublished - 22 Sep 2020
EventScience of Making Torque from Wind 2020, TORQUE 2020 - Virtual, Online, Netherlands
Duration: 28 Sep 20202 Oct 2020

Bibliographical note

Publisher Copyright:
© 2020 Published under licence by IOP Publishing Ltd.

NREL Publication Number

  • NREL/JA-5000-78006

Keywords

  • FLORIS
  • near-wake model
  • turbulence
  • wind turbines

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