Aeroelastic coupling analysis of the flexible blade of a wind turbine

Mo, Wenwei; Li, Deyuan; Wang, Xianneng; Zhong, Cantang

doi:10.1016/j.energy.2015.06.046

Cited by 53 publications

(19 citation statements)

References 10 publications

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“…The aeroelastic process is very complicated. To analyze it, many coupling models have been developed [22][23][24]. The weak coupling method, due to its advantage of keeping the independence of the aerodynamic model and structure model and its expansibility, has been widely used in fluid-structure coupling analysis cases.…”

Section: Building the Bem-3dfem Modelmentioning

confidence: 99%

Using PSO Algorithm to Compensate Power Loss Due to the Aeroelastic Effect of the Wind Turbine Blade

et al. 2019

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Power loss due to the aeroelastic effect of the blade is becoming an important problem of large-scale blade design. Prior work has already employed the pretwisting method to deal with this problem and obtained some good results at reference wind speed. The aim of this study was to compensate for the power loss for all of the wind speeds by using the pretwisting method. Therefore, we developed an aeroelastic coupling optimization model, which takes the pretwist angles along the blade as free variables, the maximum AEP (annual energy production) as the optimal object, and the smooth of the twist distribution as one of the constraint conditions. In this optimization model, a PSO (particle swarm optimization) algorithm is used and combined with the BEM-3DFEM (blade element momentum—three-dimensional finite element method) model. Then, the optimization model was compared with an iteration method, which was recently developed by another study and can well compensate the power loss at reference wind speed. By a design test, we found that the power loss can be reduced by pretwisting the origin blade, whether using the optimization model or the iteration method. Moreover, the optimization model has better ability than the iteration method to compensate the power loss with lower thrust coefficient while keeping the twist distribution smooth.

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Section: Building the Bem-3dfem Modelmentioning

confidence: 99%

Using PSO Algorithm to Compensate Power Loss Due to the Aeroelastic Effect of the Wind Turbine Blade

et al. 2019

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“…In their study, a hypothetical angular velocity of blade vibration is used to represent the vibration of the whole blade, which probably does not reflect the real local vibration scenario at different blade sections. Mo et al [35] presented an coupled aeroelastic analysis of the wind turbine blade, using BEM theory for aerodynamic load calculation coupled with a structural response solution model using Multi-Body System (MBS) theory. They stated that the blade vibration and deformation may have a significant effect on the aerodynamic load, and thus should not be ignored.…”

Section: Blade Flexibilitymentioning

confidence: 99%

Vibration-induced aerodynamic loads on large horizontal axis wind turbine blades

et al. 2017

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The blades of a large Horizontal Axis Wind Turbine (HAWT) are subjected to significant vibrations during operation. The vibrations affect the dynamic flow field around the blade and consequently alter the aerodynamic forces on the blade. In order to better understand the influence of blade vibrations on the aerodynamic loads, the dynamic stall characteristics of an S809 airfoil undergoing translational motion as well as pitching motion were investigated using Computational Fluid Dynamics (CFD) techniques. Simulation results indicated that both the out-of-plane and in-plane translational motions of the airfoil affect the unsteady aerodynamic forces significantly. In order to investigate the effects of blade vibration on the aerodynamic load on a large-scale HAWT blade during its operating lifetime, an aerodynamic model based on the Blade Element-Momentum (BEM) theory and the Beddoes-Leishman (B-L) dynamic stall model was proposed. The BEM model was revised to account for the vibration-induced velocity components in the calculation of the effective angle of attack. Aerodynamic load analysis of a 5 MW wind turbine was then performed and the impact of blade vibration on the lifetime aerodynamic fatigue loads was analysed.

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“…As pointed by Grujicic et al, 10 the main structural performance requirements for wind turbines are (1) flapwise bending strength to withstand extreme wind loads and (2) flapwise bending stiffness to ensure a minimum clearance between blade tip and the turbine tower. To meet these conditions, Hu et al 11 developed a fatigue analysis procedure including random wind field simulation, aerodynamic analysis, FE stress analysis, and fatigue damage simulation.…”

Section: Introductionmentioning

confidence: 99%

“…The service life of wind turbine blades is highly influenced by the random and nonlinear nature of wind leading to unsteady aerodynamic effects, wind turbulence, and dynamic stall and causing fatigue loads as highlighted by many researchers such as Mo et al 1 and Liu et al 2,3 Wind speed forecast is closely associated with power generation prediction, and high-precision wind speed prediction is needed for effective and safe wind energy utilization for small power systems as highlighted by Kaneko et al 4 Accurate wind prediction also reduces operating costs and improves reliability of power generation system as highlighted by Smith et al 5 Researchers therefore focus on wind profile analysis 1 Department of Mechanical Engineering, Visvesvaraya National Institute of Technology, Nagpur, India and forecasting to better predict the blade loads and fatigue and optimize the blade design for improving safety and reliability. With a focus on blade optimization study which depends on wind, rotor control strategy and generator type, Yi et al 6 studied the effects of rotor control strategies such as combinations of fixed and variable speed and pitch algorithms on optimal blade shapes and rotor performance using optimized blade designs.…”

Section: Introductionmentioning

confidence: 99%

Statistical wind prediction and fatigue analysis for horizontal-axis wind turbine composite material blade under dynamic loads

Kulkarni

Dhoble

et al. 2017

Advances in Mechanical Engineering

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The purpose of this article is to analyze various wind speed-forecasting methods, select the appropriate method for developing synthetic wind speed for 1-year period at Salem in Tamilnadu state in India, and use it for the structural and fatigue analysis of a small horizontal-axis wind turbine blade made of composite material. Various forecasting models such as Markov chain, Kalman filter, and autoregressive integrated moving average are evaluated, and a long-term wind speed pattern at Salem is developed using Markov chain. This wind pattern is used to create time-varying loads using the blade element momentum on blade sections. Then, the fatigue analysis of the blade is carried out using the stress life approach. The blade is found to have available life of about 20 years and the critical area for fatigue is found on the skin near the root of the blade. Various blade skin materials are also compared for fatigue performance. A cohesive zone model of the adhesively joined root joint is also developed and analyzed for fatigue at the metal-composite joint. Thus, an integrated methodology involving high-fidelity modeling of the blade, wind forecasting, and static and fatigue analysis is developed for horizontal-axis wind turbine blade for locations where historically wind speed measurements are available for short time.

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Aeroelastic coupling analysis of the flexible blade of a wind turbine

Cited by 53 publications

References 10 publications

Using PSO Algorithm to Compensate Power Loss Due to the Aeroelastic Effect of the Wind Turbine Blade

Using PSO Algorithm to Compensate Power Loss Due to the Aeroelastic Effect of the Wind Turbine Blade

Vibration-induced aerodynamic loads on large horizontal axis wind turbine blades

Statistical wind prediction and fatigue analysis for horizontal-axis wind turbine composite material blade under dynamic loads

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