Field test of wake steering at an offshore wind farm
Paul Fleming1,Jennifer Annoni1,Jigar J. Shah2,Linpeng Wang3,Shreyas Ananthan2,Zhijun Zhang3,Kyle Hutchings2,Peng Wang3,Weiguo Chen3,and Lin Chen3Paul Fleming et al.Paul Fleming1,Jennifer Annoni1,Jigar J. Shah2,Linpeng Wang3,Shreyas Ananthan2,Zhijun Zhang3,Kyle Hutchings2,Peng Wang3,Weiguo Chen3,and Lin Chen3
Received: 16 Jan 2017 – Discussion started: 06 Feb 2017 – Revised: 04 Apr 2017 – Accepted: 07 Apr 2017 – Published: 08 May 2017
Abstract. 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.
In this paper, a field test of wake-steering control is presented. In the campaign, an array of turbines within an operating commercial offshore wind farm have the normal yaw controller modified to implement wake steering according to a yaw control strategy. Results indicate that, within the certainty afforded by the data, the wake-steering controller was successful in increasing power capture.
In this paper, a field test of wake-steering control is presented. In the campaign, an array of...
