Numerical analysis of aerodynamic performance of a floating offshore wind turbine under pitch motion

Energy ◽  
2020 ◽  
Vol 192 ◽  
pp. 116621 ◽  
Author(s):  
Yuan Fang ◽  
Lei Duan ◽  
Zhaolong Han ◽  
Yongsheng Zhao ◽  
He Yang
Author(s):  
Kaman Thapa Magar ◽  
Mark J. Balas

This paper presents the preliminary study on damping of platform pitch motion of floating offshore wind turbine using adaptive individual blade pitch control. The platform pitch displacement is measured and used to derive the signal to actuate pitch of each blade independently which tries to damp the platform pitch motion. This independent blade pitch control signal is then combined with collective blade pitch control signal which is responsible for regulating the generator speed. The performance of proposed controller is compared with the baseline PID collective pitch controller and adaptive collective pitch controller.


Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2519 ◽  
Author(s):  
Kim ◽  
Kwon

In the present study, a numerical framework for predicting the aerodynamic performance and the aeroelastic behavior of floating offshore wind turbine rotor blades involving platform motion was developed. For this purpose, the aerodynamic and structural analyses were conducted simultaneously in a tightly coupled manner by exchanging the information about the aerodynamic loads and the elastic blade deformations at every time step. The elastic behavior of the turbine rotor blades was described by adopting a structural model based on the Euler-Bernoulli beam. The aerodynamic loads by the rotor blades were evaluated by adopting a blade element momentum theory. The numerical simulations were conducted when the platform of the wind turbine independently moves in each of the six degrees-of-freedom directions consisting of heave, sway, surge, roll, pitch, and yaw. It was observed that flexible blades exhibit complicated vibratory behaviors when they are excited by the aerodynamic, inertia, and gravitational forces simultaneously. It was found that the load variation caused by the platform surge or pitch motion has a significant influence on the flapwise and torsional deformations of the rotor blades. The torsional deformation mainly occurs in the nose-down direction, and results in a reduction of the aerodynamic loads. It was also found that the flapwise root bending moment is mainly influenced by the platform surge and pitch motions. On the other hand, the edgewise bending moment is mostly dictated by the gravitational force, but is not affected much by the platform motion.


2018 ◽  
Vol 6 (4) ◽  
pp. 151 ◽  
Author(s):  
Roberto Ramos

This paper presents the design of a linear quadratic (LQ) optimal controller for a spar-type floating offshore wind turbine (FOWT). The FOWT is exposed to different sea states and constant wind turbulence intensity above rated wind speed. A new LQ control objective is specified for the floater-turbine coupled control, in accordance with standard requirements, to reduce both rotor speed fluctuations and floater pitch motion in each relevant sea state compared with a baseline proportional-integral (PI) controller. The LQ weighting matrices are selected using time series of the wind/wave disturbances generated for the relevant sea states. A linearized state-space model is developed, including the floater surge/pitch motions, rotor speed, collective blade pitch actuation, and unmeasured environmental disturbances. The wind disturbance modeling is based on the Kaimal spectrum and aerodynamic thrust/torque coefficients. The wave disturbance modeling is based on the Pierson–Moskowitz spectrum and linearized Morison equation. A high-fidelity FOWT simulator is used to verify the control-oriented model. The simulation results for the OC3-Hywind FOWT subjected to turbulent wind show that a single LQ controller can yield both rotor speed fluctuation reduction of 32–72% and floater pitch motion reduction of 22–44% in moderate to very rough sea states compared with the baseline PI controller.


2018 ◽  
Vol 147 ◽  
pp. 591-605 ◽  
Author(s):  
Elif Oguz ◽  
David Clelland ◽  
Alexander H. Day ◽  
Atilla Incecik ◽  
Juan Amate López ◽  
...  

2019 ◽  
Vol 17 ◽  
pp. 64-71
Author(s):  
Behrooz Tafazzoli Moghaddam ◽  
Ali Mahboob Hamedany ◽  
Ali Mehmanparast ◽  
Feargal Brennan ◽  
Kamran Nikbin ◽  
...  

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