Progress and challenges on blade load research of large-scale wind turbines

Dai, Juchuan; Li, Mimi; Chen, Huanguo; He, Tao; Zhang, Fan

doi:10.1016/j.renene.2022.07.017

Cited by 24 publications

(10 citation statements)

References 87 publications

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“…The most common and serious failure modes in GFRPs are the development of cracks and delaminations. Typical causes of the damage include manufacturing-induced defects, cyclic and dynamic loading, and exposure to environmental factors [ 4 , 5 ], which are the result of varying and difficult operating conditions. The presence of manufacturing-induced defects leads to failure in the early stages of their exploitation by significantly reducing the mechanical properties of the material.…”

Section: Introductionmentioning

confidence: 99%

Damage Detection in Glass Fibre Composites Using Cointegrated Hyperspectral Images

Długosz,

Dao,

Staszewski

et al. 2024

Sensors

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Hyperspectral imaging (HSI) is a remote sensing technique that has been successfully applied for the task of damage detection in glass fibre-reinforced plastic (GFRP) materials. Similarly to other vision-based detection methods, one of the drawbacks of HSI is its susceptibility to the lighting conditions during the imaging, which is a serious issue for gathering hyperspectral data in real-life scenarios. In this study, a data conditioning procedure is proposed for improving the results of damage detection with various classifiers. The developed procedure is based on the concept of signal stationarity and cointegration analysis, and achieves its goal by performing the detection and removal of the non-stationary trends in hyperspectral images caused by imperfect lighting. To evaluate the effectiveness of the proposed method, two damage detection tests have been performed on a damaged GFRP specimen: one using the proposed method, and one using an established damage detection workflow, based on the works of other authors. Application of the proposed procedure in the processing of a hyperspectral image of a damaged GFRP specimen resulted in significantly improved accuracy, sensitivity, and F-score, independently of the type of classifier used.

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Section: Introductionmentioning

confidence: 99%

Damage Detection in Glass Fibre Composites Using Cointegrated Hyperspectral Images

Długosz,

Dao,

Staszewski

et al. 2024

Sensors

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“…These methods, which are listed according to increasing computational precision but decreasing computational efficiency, include the blade element momentum (BEM) model, the vortex model, the actuator-type model, and the computational fluid dynamics (CFD) method [13]. Despite the pursuit of advanced methodologies to refine wind turbine aerodynamics calculations, engineering models that use the BEM method persist as the dominant aerodynamic models utilized by mainstream wind turbine simulation software, such as DNV Bladed, FAST, CP-Lambda, hGAST, and HAWC2 [13,14]. Consequently, researchers have persistently focused on enhancing BEM models to augment computational precision.…”

Section: Introductionmentioning

confidence: 99%

A Comprehensive Investigation of Linear and Nonlinear Beam Models on Flexible Wind Turbine Blade Load Calculations

Ma,

Peng,

Sun

et al. 2024

JMSE

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This study was performed to investigate the effects of structural nonlinearity and large deformations on the aeroelastic loads of flexible wind turbine blades. First, a blade structural analysis model was established using the geometrically exact beam (GEB) theory. Subsequently, the blade element momentum (BEM) theory was corrected using the geometrically exact method leading to the development of a geometrically exact blade element momentum (GE-BEM) model. The results from the GE-BEM model indicated that flapwise deformations always reduce blade fatigue loads, while torsional deformations decrease fatigue loads under low wind speeds but increase them under high wind speeds. Finally, the linear Euler–Bernoulli beam and the GEB were compared to explore the influence of geometric nonlinearity on the blade aeroelastic loads, which revealed that the Euler beam model underestimates the blade loads. The simulations that used the GEB model produced torsional root twist fatigue loads that were 57.49% greater than those generated when the Euler beam model was used. Furthermore, the flapwise bending moment fatigue loads at the root were 8.24% greater than those obtained by the Euler beam model. The smallest discrepancy between the results of the two models was 7.26%, and it corresponded to the edgewise fatigue load.

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“…The pitch system is one of the key components of largescale wind turbines (Rosemeier et al, 2016). During the operation of wind turbines, the pitch system bears complex loads and has multiple working conditions, which causes frequent failures (Dai et al, 2022), for example, the pitch brake failure and the pitch bearing breakage (He et al, 2021;Li and Wang, 2021). Relevant statistical data show that the failures of pitch systems account for more than 40% of all wind turbine failures, resulting in more than 30% of wind turbine downtime (Bi et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Research on force model and characteristics of large wind turbine pitch system based on SCADA data

Dai

Zhang

et al. 2023

Front. Energy Res.

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In large-scale wind turbines, the force state of the pitch system greatly influences safe operation and service life. This paper provides a novel method to estimate blade pitch load, bearing friction torque, and motor pitch torque. In this method, the force equilibrium equations are established by investigating the force of the pitch system under multiple operating conditions. The multidimensional BIN method is employed to classify the supervisory control and data acquisition (SCADA) data of wind turbines into several intervals. The multidimensional scatter data is processed in a single-valued way. Then, the estimating model of the pitch system forces is established by combining the obtained data and the equilibrium equations. Taking a 2 MW wind turbine as an example, the variation characteristics of blade pitch load, bearing friction torque, and motor pitch torque under multiple operating conditions are analyzed. Some interesting and valuable conclusions are obtained. For example, when the wind speed increases, the blade pitch load increases significantly in the maximum wind energy tracking region, but there is no obvious change in the observed constant power output region. The wind speed and azimuth have little effect on the bearing friction torque. The variation trend of motor pitch torque is consistent with that of blade pitch load in the maximum wind energy tracking region.

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Progress and challenges on blade load research of large-scale wind turbines

Cited by 24 publications

References 87 publications

Damage Detection in Glass Fibre Composites Using Cointegrated Hyperspectral Images

Damage Detection in Glass Fibre Composites Using Cointegrated Hyperspectral Images

A Comprehensive Investigation of Linear and Nonlinear Beam Models on Flexible Wind Turbine Blade Load Calculations

Research on force model and characteristics of large wind turbine pitch system based on SCADA data

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