Numerical investigation of optimal yaw misalignment and collective pitch angle for load imbalance reduction of rigid and flexible HAWT blades under sheared inflow

Wind shear can strongly influence the cyclic loading on horizontal axis wind turbine blades. These load fluctuation causes a variation of power output and introduces fatigue load. Thus, individual pitch controllers have been developed that are focused on the load alleviations, however, comes at a pr...

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Bibliographic Details
Published in:Energy (Oxford) Vol. 84; pp. 518 - 532
Main Authors: Jeong, Min-Soo, Cha, Myung-Chan, Kim, Sang-Woo, Lee, In
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.05.2015
Subjects:
ABAQUS
Blade element momentum
Blades
Controllers
Fatigue (materials)
Horizontal Axis Wind Turbines
mathematical models
Misalignment
Optimization
Pitch angle
prediction
quadratic programming
SQP (sequential quadratic programming) algorithm
wind
Wind shear
Wind turbine
wind turbines
Yaw
Yaw misalignment
CFD
ABAQUS
BEM
SQP
HAWT
RFBM
SQP (sequential quadratic programming) algorithm
Yaw misalignment
FSI
IPC
Wind turbine
Blade element momentum
Wind shear
ISSN:0360-5442
Online Access:Get full text
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Summary:Wind shear can strongly influence the cyclic loading on horizontal axis wind turbine blades. These load fluctuation causes a variation of power output and introduces fatigue load. Thus, individual pitch controllers have been developed that are focused on the load alleviations, however, comes at a price of actuator requirements for control. Moreover, these controllers are unable to apply to already existing wind turbines with active yaw and collective pitch control system. Therefore, the investigations for minimizing load imbalance through the adjustments of yaw misalignment and collective pitch angle are implemented for the rigid and flexible blades under the sheared inflow. By applying the optimization process based on a sequential quadratic programming approach, the optimal yaw and pitch angle can be estimated. Then, the numerical simulations for predicting the performance are performed. The results showed that the fluctuation range of the root flapwise bending moment for the rigid blades can be reduced by 84.5%, whereas the vibratory bending moment for the flexible blades can be reduced by up to approximately 82.4% in the best case. Therefore, the magnitudes of load imbalance can be minimized by the adjustment of the optimal yaw misalignment and collective pitch angle without any power loss. •We propose a novel method for the reduction of load imbalance under sheared inflow.•We estimate optimal yaw misalignment and collective pitch angle through optimization.•Numerical results of performance are predicted for rigid and flexible blades.•By applying optimal angles, load variations are reduced without any power loss.
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ISSN:0360-5442
DOI:10.1016/j.energy.2015.03.016