Open Access Open Access  Restricted Access Subscription or Fee Access

Predictive model of wind turbine rotor-blade deflection

Carlos Armenta-Déu, Antoine Renoud-Grappin

Abstract


A simulation process has been developed to predict wind turbine rotor-blade deflection caused by gravity effects. The model is based on the rotor-blade segmentation in finite elements, each one considered as an independent structure. The simulation has been extended to n-elements to make a more precise approach to the real performance. The range of deformation has been determined for a wind turbine rotor-blade analysing the effects of forces that creates a bending moment and estimating the permanent deformation. Accelerated deformation tests have been run to evaluate the deflection and angular phase shift with time in ranges that can be compared to real situations. The accelerated deformation process has been achieved by a constant load equivalent to 22.5 times the rotor-blade weight. The results have been compared to those obtained from experimental tests in a prototype operating under similar conditions. The results of the comparison have demonstrated the validity of the theory, within 95% accuracy. The high accuracy of the results indicates the simulation process can be applied to bigger wind turbines within a minimum error. The predictive model estimates how the deflection at the blade tip of wind turbine rotors evolves with time; the prediction, for the lifespan of a wind turbine rotor-blade of 25 years, results in deflection from 0.115 m for small wind turbines of 14 m of diameter (50 kW) until 1.315 m for large wind turbines of 114 m of diameter (4.5 MW).


Keywords


Simulation and modelling. Wind energy rotor-blade. Deflection and deformation.

Full Text:

PDF

References


Kartik Chandrasekhar, Nevena Stevanovic, Elizabeth J.Cross, Nikolaos Dervilis and Keith Worden (2021) Damage detection in operational wind turbine blades using a new approach based on machine learning, Renewable Energy, Vol.168, pp.1249-1264

Artur Movsessian, David García Cava and Dmitri Tcherniak (2021) An artificial neural network methodology for damage detection: Demonstration on an operating wind turbine blade, Mechanical Systems and Signal Processing, Vol.159, 107766

Yanfeng Wang, Ming Liang and Jiawei Xiang (2014) Damage detection method for wind turbine blades based on dynamics analysis and mode shape difference curvature information, Mechanical Systems and Signal Processing, Vol. 48, Issues 1–2, 3, pp 351-367

Ying Du, Shengxi Zhou, Xingjian Jing, Yeping Peng, Hongkun Wu and Ngaiming Kwok (2020) Damage detection techniques for wind turbine blades: A review, Mechanical Systems and Signal Processing, Vol.141, 106445

Elena Llorente and Daniele Ragnib (2020) Trailing-edge serrations effect on the performance of a wind turbine, Renewable Energy, Vol.147, Part 1, pp.437-446

Agrim Sareen, Chinmay A. Sapre and Michael S. Selig, (2014) Effects of leading-edge erosion on wind turbine blade performance, Wind Energy, Vol.17, pp-1531–1542

Ratan U.Gaonkar, Ramakrishna N.Hegde (2021) An investigation on the performance and viability of a hybrid twisted blade profile for a horizontal axis micro wind turbine, Materials Today Proceedings, in press, Available online 1 July 2021

C. Armenta-Déu (2021) Effects of rotor-blade deformation onto the performance of domestic wind turbines, Journal of Alternate Energy Sources & Technologies, Vol.12, Issue 1

Shanran Tang, Bert Sweetman and Ju Gao (2021) Nonlinear effects and dynamic coupling of floating offshore wind turbines using geometrically-exact blades and momentum-based method, Ocean Engineering, Vol.229, 108866

Yuanchang Chen, Alejandra S.Escalera Mendoza, D. Todd Griffith (2021) Experimental and numerical study of high-order complex curvature mode shape and mode coupling on a three-bladed wind turbine assembly, Mechanical Systems and Signal Processing, Vol. 160, 107873

Xiaoqi Qu, Yan Li, Yougang Tang, Wei Chai and Zhen Gao (2020) Comparative study of short-term extreme responses and fatigue damages of a floating wind turbine using two different blade models, Applied Ocean Research, Vol.97, 102088

Marcus Wiens, Tobias Meyer and Jan Wenske (2020) Exploiting Bend-Twist Coupling in Wind Turbine Control for Load Reduction, IFAC-PapersOnLine, Vol.53 Issue 2, pp. 12139-12144

Kevin Cox, Andreas Echtermeyer (2013) Geometric Scaling Effects of Bend-twist Coupling in Rotor Blades, Energy Procedia, Vol. 35, pp. 2-11

Oscar Castro, Federico Belloni, Mathias Stolpe, Süleyman Cem Yeniceli, Peter Berring and Kim Branner (2021) Optimized method for multi-axial fatigue testing of wind turbine blades, Composite Structures, Vol.257, 113358

Yung-Jeh Chu, Heung-Fai Lam (2020) Comparative study of the performances of a bio-inspired flexible-bladed wind turbine and a rigid-bladed wind turbine in centimeter-scale, Energy, Vol.213, 118835

M. Mohamed Sajeer, Arka Mitra and Arunasis Chakraborty (2021) Multi-body dynamic analysis of offshore wind turbine considering soil-structure interaction for fatigue design of monopole, Soil Dynamics and Earthquake Engineering, Vol.144, 106674

Jin Xu, Lei Zhang, Xue Li, Shuang Li, Ke Yang (2020) A study of dynamic response of a wind turbine blade based on the multi-body dynamics method, Renewable Energy, Vol. 155, pp. 358-368

Xuejing Sun, Jianyang Zhu, Asad Hanif, Zongjin Li and Guoxing Suna (2020) Effects of blade shape and its corresponding moment of inertia on self-starting and power extraction performance of the novel bowl-shaped floating straight-bladed vertical axis wind turbine, Sustainable Energy Technologies and Assessments, Vol.38, 100648

Wei Luo, Jiahui Li, Xiaofeng Ma, Wei Wei (2020) A novel static deformation measurement and visualization method for wind turbine blades using home-made LiDAR and processing program, Optics and Lasers in Engineering, Vol. 134, 106206

Jinshui Yang, Chaoyi Peng, Jiayu Xiao, Jingcheng Zeng, Yun Yuan (2012) Application of videometric technique to deformation measurement for large-scale composite wind turbine blade, Applied Energy, Vol. 98, pp. 292-300

Xiangyi Sun, Yun Yuan, Zhaokun Zhu, Xiaohu Zhang, Qifeng Yu (2011) Videometric research on deformation measurement of large-scale wind turbine blades, Theoretical and Applied Mechanics Letters, Vol. 1, Issue 1, 011005

Kyunghyun Lee, Aya Aihara, Ganbayar Puntsagdash, Takayuki Kawaguchi, Hiraku Sakamoto, Masaaki Okuma (2017) Feasibility study on a strain based deflection monitoring system for wind turbine blades, Mechanical Systems and Signal Processing, Vol.82, pp.117-129

Hamid Ahmadi, Adel Alizadeh Ataloa (2021) Geometrical effects on the degree of bending (DoB) of multi-planar tubular KK-joints in jacket substructure of offshore wind turbines, Applied Ocean Research, Vol. 111, 102678

Alejandro D.Otero, Fernando L.Ponta (2018) On the sources of cyclic loads in horizontal-axis wind turbines: The role of blade-section misalignment, Renewable Energy, Vol. 117, pp. 275-286

Saravana Kannan Thangavelu, Shin Fatt Chow, Charlie Chin Voon Sia, Kok Hing Chong (2021) Aeroelastic performance analysis of horizontal axis wind turbine (HAWT) swept blades, Materials Today Proceedings, in press, Available online 12 May 2021

Luis Ortiz Berrocal, Elasticidad, Ed. McGraw Hill Interamericana de España S.L., 3rd ed., ISBN-10: 978-84-481-2046-7; ISBN-13: 9788448120467




DOI: https://doi.org/10.37591/joost.v8i2.1142

Refbacks

  • There are currently no refbacks.