scholarly journals Field test of wake steering at an offshore wind farm

2017 ◽  
Vol 2 (1) ◽  
pp. 229-239 ◽  
Author(s):  
Paul Fleming ◽  
Jennifer Annoni ◽  
Jigar J. Shah ◽  
Linpeng Wang ◽  
Shreyas Ananthan ◽  
...  

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.

2017 ◽  
Author(s):  
Paul Fleming ◽  
Jennifer Annoni ◽  
Jigar J. Shah ◽  
Linpeng Wang ◽  
Shreyas Ananthan ◽  
...  

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, SOWFA, for understanding wake dynamics and an engineering model, 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.


2019 ◽  
Vol 193 ◽  
pp. 106579 ◽  
Author(s):  
M. Richmond ◽  
A. Antoniadis ◽  
L. Wang ◽  
A. Kolios ◽  
S. Al-Sanad ◽  
...  

2019 ◽  
Vol 139 (4) ◽  
pp. 259-268
Author(s):  
Effat Jahan ◽  
Md. Rifat Hazari ◽  
Mohammad Abdul Mannan ◽  
Atsushi Umemura ◽  
Rion Takahashi ◽  
...  

2019 ◽  
Vol 2019 (17) ◽  
pp. 3848-3854
Author(s):  
Samir Milad Alagab ◽  
Sarath Tennakoon ◽  
Chris Gould

2021 ◽  
pp. 107532
Author(s):  
Muhammet Deveci ◽  
Ender Özcan ◽  
Robert John ◽  
Dragan Pamucar ◽  
Himmet Karaman

2021 ◽  
Vol 1754 (1) ◽  
pp. 012153
Author(s):  
YAN Quanchun ◽  
GU Wen ◽  
LIU Yanan ◽  
LI Chenglong ◽  
WU Tao

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