Field Test of Wake Steering at an Offshore Wind Farm

Paul Fleming, Jennifer Annoni, Jigar J. Shah, Linpeng Wang, Shreyas Ananthan, Zhijun Zhang, Kyle Hutchings, Peng Wang, Weiguo Chen, Lin Chen

Research output: Contribution to journalArticlepeer-review

190 Scopus Citations


In this paper, a field test of wake-steering control is presented. The field test is the result of a collaboration between the National Renewable Energy Laboratory (NREL) and Envision Energy, a smart energy management company and turbine manufacturer. In the campaign, an array of turbines within an operating commercial offshore wind farm in China have the normal yaw controller modified to implement wake steering according to a yaw control strategy. The strategy was designed using NREL wind farm models, including a computational fluid dynamics model, Simulator fOr Wind Farm Applications (SOWFA), for understanding wake dynamics and an engineering model, FLOw Redirection and Induction in Steady State (FLORIS), for yaw control optimization. Results indicate that, within the certainty afforded by the data, the wake-steering controller was successful in increasing power capture, by amounts similar to those predicted from the models.

Original languageAmerican English
Pages (from-to)229-239
Number of pages11
JournalWind Energy Science
Issue number1
StatePublished - 2017

Bibliographical note

See NREL/JA-5000-72631 for article as published in Wind Energy Science Discussions

NREL Publication Number

  • NREL/JA-5000-67623


  • field testing
  • wake steering
  • wind energy
  • wind farm control


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