Numerical investigation of optimal yaw misalignment and collective pitch angle for load imbalance reduction of rigid and flexible HAWT blades under sheared inflow. (1st May 2015)

• Record Type: Journal Article
• Authors: Jeong, Min-Soo; Cha, Myung-Chan; Kim, Sang-Woo; Lee, In
• Is Part Of: Energy. Volume 84(2015)
• Page Start: 518
• Page End: 532
• Publication Date: 2015-05-01
• Subjects: BEM blade element momentum -- CFD computational fluid dynamics -- FSI fluid-structure interaction -- HAWT horizontal axis wind turbine -- IPC individual pitch control -- RFBM root flapwise bending moment -- SQP sequential quadratic programming; ABAQUS -- Blade element momentum -- SQP (sequential quadratic programming) algorithm -- Wind shear -- Wind turbine -- Yaw misalignment; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2015.03.016
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: 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. Highlights: 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.