Yaw angle control is known nowadays as a promising and effective technique to mitigate wake effects in wind farms. In this paper, we perform wind tunnel experiments to study the performance of a model wind farm with five turbine rows under a wide variety of yaw angle distributions. Electrical servo controllers are used to monitor and control the operating conditions of each model wind turbine, which consists of a recently developed, highly efficient rotor with a diameter of 15 cm. Each turbine is used as a sensor to detect its own inflow conditions. Using this method ensures us that all the turbines within the wind farm always operate with an optimal rotational velocity, regardless of their yaw angles or inflow conditions. Wind farm power measurements are carried out for more than 200 cases with different yaw angle distributions. Our results show that yaw angle control can increase the overall wind farm efficiency as much as 17% with respect to fully non-yawed conditions. Special emphasis is placed on studying yaw angle distributions with different levels of simplicity and power improvement. Among different yaw angle distributions, the most successful ones are those with a relatively large yaw angle value for the first turbine row, and then, the yaw angle decreases progressively for downwind rows until it eventually becomes zero for the last one. In addition, power measurements show that yaw angle control can improve the wind farm efficiency more noticeably for a larger number of turbine rows although this improvement is expected to reach a plateau after several rows.
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Wind farm power optimization via yaw angle control: A wind tunnel study
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March 2019
Research Article|
March 08 2019
Wind farm power optimization via yaw angle control: A wind tunnel study
Majid Bastankhah;
Majid Bastankhah
a)
Wind Engineering and Renewable Energy Laboratory (WiRE), EPFL
, Lausanne, Switzerland
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Fernando Porté-Agel
Fernando Porté-Agel
b)
Wind Engineering and Renewable Energy Laboratory (WiRE), EPFL
, Lausanne, Switzerland
b)Author to whom correspondence should be addressed: [email protected]
Search for other works by this author on:
Majid Bastankhah
a)
Fernando Porté-Agel
b)
Wind Engineering and Renewable Energy Laboratory (WiRE), EPFL
, Lausanne, Switzerland
a)
Current address: Department of Engineering, Durham University, Durham, United Kingdom.
b)Author to whom correspondence should be addressed: [email protected]
J. Renewable Sustainable Energy 11, 023301 (2019)
Article history
Received:
October 24 2018
Accepted:
February 02 2019
Citation
Majid Bastankhah, Fernando Porté-Agel; Wind farm power optimization via yaw angle control: A wind tunnel study. J. Renewable Sustainable Energy 1 March 2019; 11 (2): 023301. https://doi.org/10.1063/1.5077038
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