Structural Optimization Design of Large Wind Turbine Blade considering Aeroelastic Effect

This paper presents a structural optimization design of the realistic large scale wind turbine blade. The mathematical simulations have been compared with experimental data found in the literature. All complicated loads were applied on the blade when it was working, which impacts directly on mixed vibration of the wind rotor, tower, and other components, and this vibration can dramatically affect the service life and performance of wind turbine. The optimized mathematical model of the blade was established in the interaction between aerodynamic and structural conditions. The modal results show that the first six modes are flapwise dominant. Meanwhile, the mechanism relationship was investigated between the blade tip deformation and the load distribution. Finally, resonance cannot occur in the optimized blade, as compared to the natural frequency of the blade. It verified that the optimized model is more appropriate to describe the structure. Additionally, it provided a reference for the structural design of a large wind turbine blade.

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Structural Optimization Design of 2MW Composite Wind Turbine Blade

Energy Procedia ◽

10.1016/j.egypro.2017.03.420 ◽

2017 ◽

Vol 105 ◽

pp. 1226-1233 ◽

Cited By ~ 8

Author(s):

Toohid Bagherpoor ◽

Li Xuemin

Keyword(s):

Structural Optimization ◽

Wind Turbine ◽

Turbine Blade ◽

Optimization Design ◽

Wind Turbine Blade

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Wind Turbine Blade Flow and Noise Prediction by Large-Scale LES (2nd Report, On Aerodynamic Noise Reduction of the Wind Turbine Blade Tip)

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B ◽

10.1299/kikaib.71.184 ◽

2005 ◽

Vol 71 (701) ◽

pp. 184-190 ◽

Cited By ~ 1

Author(s):

Oliver FLEIG ◽

Makoto IIDA ◽

Chuichi ARAKAWA

Keyword(s):

Wind Turbine ◽

Noise Reduction ◽

Turbine Blade ◽

Large Scale ◽

Wind Turbine Blade ◽

Aerodynamic Noise ◽

Noise Prediction ◽

Blade Tip

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Multi-objective structural optimization of a wind turbine blade using NSGA-II algorithm and FSI

Aircraft Engineering and Aerospace Technology ◽

10.1108/aeat-02-2021-0055 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Ramazan Özkan ◽

Mustafa Serdar Genç

Keyword(s):

Structural Optimization ◽

Wind Turbine ◽

Turbine Blade ◽

Wind Turbine Blade ◽

Design Parameters ◽

Aerodynamic Optimization ◽

Nsga Ii ◽

Content Type ◽

Multi Objective ◽

Optimization Study

Purpose Wind turbines are one of the best candidates to solve the problem of increasing energy demand in the world. The aim of this paper is to apply a multi-objective structural optimization study to a Phase II wind turbine blade produced by the National Renewable Energy Laboratory to obtain a more efficient small-scale wind turbine. Design/methodology/approach To solve this structural optimization problem, a new Non-Dominated Sorting Genetic Algorithm (NSGA-II) was performed. In the optimization study, the objective function was on minimization of mass and cost of the blade, and design parameters were composite material type and spar cap layer number. Design constraints were deformation, strain, stress, natural frequency and failure criteria. ANSYS Composite PrepPost (ACP) module was used to model the composite materials of the blade. Moreover, fluid–structure interaction (FSI) model in ANSYS was used to carry out flow and structural analysis on the blade. Findings As a result, a new original blade was designed using the multi-objective structural optimization study which has been adapted for aerodynamic optimization, the NSGA-II algorithm and FSI. The mass of three selected optimized blades using carbon composite decreased as much as 6.6%, 11.9% and 14.3%, respectively, while their costs increased by 23.1%, 29.9% and 38.3%. This multi-objective structural optimization-based study indicates that the composite configuration of the blade could be altered to reach the desired weight and cost for production. Originality/value ACP module is a novel and advanced composite modeling technique. This study is a novel study to present the NSGA-II algorithm, which has been adapted for aerodynamic optimization, together with the FSI. Unlike other studies, complex composite layup, fiber directions and layer orientations were defined by using the ACP module, and the composite blade analyzed both aerodynamic pressure and structural design using ACP and FSI modules together.

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