Comparison of the Dynamic Wake Meandering Model, Large-Eddy Simulation, and Field Data at the Egmond aan Zee Offshore Wind Plant: Preprint

Matthew Churchfield, Patrick Moriarty, Yujia Hao, Matthew Lackner, Rebecca Barthelmie, Julie Lundquist, Greg Oxley

Research output: Contribution to conferencePaper

Abstract

The focus of this work is the comparison of the dynamic wake meandering model and large-eddy simulation with field data from the Egmond aan Zee offshore wind plant composed of 36 3-MW turbines. The field data includes meteorological mast measurements, SCADA information from all turbines, and strain-gauge data from two turbines. The dynamic wake meandering model and large-eddy simulation are meansof computing unsteady wind plant aerodynamics, including the important unsteady meandering of wakes as they convect downstream and interact with other turbines and wakes. Both of these models are coupled to a turbine model such that power and mechanical loads of each turbine in the wind plant are computed. We are interested in how accurately different types of waking (e.g., direct versus partialwaking), can be modeled, and how background turbulence level affects these loads. We show that both the dynamic wake meandering model and large-eddy simulation appear to underpredict power and overpredict fatigue loads because of wake effects, but it is unclear that they are really in error. This discrepancy may be caused by wind-direction uncertainty in the field data, which tends to make wakeeffects appear less pronounced.
Original languageAmerican English
Number of pages22
StatePublished - 2014
EventAIAA Science and Technology Forum and Exposition 2015 - Kissimmee, Florida
Duration: 5 Jan 20159 Jan 2015

Conference

ConferenceAIAA Science and Technology Forum and Exposition 2015
CityKissimmee, Florida
Period5/01/159/01/15

NREL Publication Number

  • NREL/CP-5000-63321

Keywords

  • dynamic wake meandering
  • large-eddy simulations
  • wind plant aerodynamics

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