Field test of wake steering at an offshore wind farm

被引：211

作者：

Fleming, Paul ^{[1
]}

Annoni, Jennifer ^{[1
]}

Shah, Jigar J. ^{[2
]}

Wang, Linpeng ^{[3
]}

Ananthan, Shreyas ^{[2
]}

Zhang, Zhijun ^{[3
]}

Hutchings, Kyle ^{[2
]}

Wang, Peng ^{[3
]}

Chen, Weiguo ^{[3
]}

Chen, Lin ^{[3
]}

机构：

[1] National Wind Technology Center, National Renewable Energy Laboratory, Golden,CO,80401, United States

[2] Research and Development, Envision Energy USA Ltd, Houston,TX,77002, United States

[3] Research and Development, Envision Energy Ltd, Shanghai,200051, China

来源：

Wind Energy Science | 2017年 / 2卷 / 01期

关键词：

Computational fluid dynamics - Controllers - Electric utilities - Offshore wind farms - Turbines;

D O I：

10.5194/wes-2-229-2017

中图分类号：

学科分类号：

摘要：

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. © 2017 Author(s).

引用

页码：229 / 239