Progresses in application of computational fluid dynamic methods to large scale wind turbine aerodynamics

Applied Mathematics and Mechanics (English Edition) ›› 2016, Vol. 37 ›› Issue (S1): 21-30.

Progresses in application of computational fluid dynamic methods to large scale wind turbine aerodynamics

Zhenyu ZHANG¹, Ning ZHAO¹, Wei ZHONG¹, Long WANG¹, Bofeng XU²

1. Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design, Nanjing University of Aeronautics and Astronautics(NUAA), Nanjing 210016, China;
2. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China

收稿日期:2016-04-24 修回日期:2016-07-07 出版日期:2016-12-24 发布日期:2016-12-24
通讯作者: Zhenyu ZHANG E-mail:zyzhang@nuaa.edu.cn
基金资助:
Project supported by the National Basic Research Program of China (973 Program) (No. 2014CB046200), the National Natural Science Foundation of China (Nos. 11172135 and 51506088), and the Jiangsu Provincial Natural Science Foundation (No. BK20140059)

Progresses in application of computational fluid dynamic methods to large scale wind turbine aerodynamics

Zhenyu ZHANG¹, Ning ZHAO¹, Wei ZHONG¹, Long WANG¹, Bofeng XU²

1. Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design, Nanjing University of Aeronautics and Astronautics(NUAA), Nanjing 210016, China;
2. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China

Received:2016-04-24 Revised:2016-07-07 Online:2016-12-24 Published:2016-12-24
Contact: Zhenyu ZHANG E-mail:zyzhang@nuaa.edu.cn
Supported by:
Project supported by the National Basic Research Program of China (973 Program) (No. 2014CB046200), the National Natural Science Foundation of China (Nos. 11172135 and 51506088), and the Jiangsu Provincial Natural Science Foundation (No. BK20140059)

摘要/Abstract

摘要：

The computational fluid dynamics (CFD) methods are applied to aerodynamic problems for large scale wind turbines. The progresses including the aerodynamic analyses of wind turbine profiles, numerical flow simulation of wind turbine blades, evaluation of aerodynamic performance, and multi-objective blade optimization are discussed. Based on the CFD methods, significant improvements are obtained to predict two/three dimensional aerodynamic characteristics of wind turbine airfoils and blades, and the vortical structure in their wake flows is accurately captured. Combining with a multi-objective genetic algorithm, a 1.5 MW NH-1500 optimized blade is designed with high efficiency in wind energy conversion.

关键词: numerical simulation, aerodynamic model, wind turbine, computational fluid dynamics (CFD)

Abstract:

Key words: wind turbine, numerical simulation, computational fluid dynamics (CFD), aerodynamic model

中图分类号:

Zhenyu ZHANG, Ning ZHAO, Wei ZHONG, Long WANG, Bofeng XU. Progresses in application of computational fluid dynamic methods to large scale wind turbine aerodynamics[J]. Applied Mathematics and Mechanics (English Edition), 2016, 37(S1): 21-30.

参考文献

[1] Hansen, M. O. L. Aerodynamics of Wind Turbines, Earthscan, London, 272-276(2008)
[2] Blazek, J. Computational Fluid Dynamics:Principles and Applications, Elsevier, London, 272-276(2006)
[3] Kim, J., Moin, P., and Moser, R. Turbulence statistics in fully developed channel flow at low Reynolds number. Journal of Fluid Mechanics, 177, 133-166(1987)
[4] Churchfield, M., Li, Y., and Moriarty, P. J. A large-eddy simulation study of wake propagation and power production in an array of tidal-current turbines. Philosophical Transactions of the Royal Society A, 371, 20120421(2011)
[5] Wu, Y. T. and Porté-Agel, F. Large-eddy simulation of wind-turbine wakes:evaluation of turbine parametrisations. Boundary-Layer Meteorol, 188, 345-366(2011)
[6] Zhong, W. and Wang, T. G. Numerical analysis of transition effect on stall performance of wind turbine airfoils and blades (in Chinese). Acta Aerodynamic Sinica, 29, 385-390(2011)
[7] Simms, D., Schreck, S., Hand, M., and Fingersh, L. J. NREL Unsteady Aerodynamics Experiment in the NASA-Ames Wind Tunnel:a Comparison of Predictions to Measurements, National Renewable Energy Laboratory, NREL/TP-500-29494, Virginia (2011)
[8] Sørensen, N. N., Michelsen, J. A., and Schreck, S. Navier-Stokes predictions of the NREL phase VI rotor in the NASA Ames 80 ft×120 ft wind tunnel. Wind Energy, 5, 151-169(2002)
[9] Wang, L., Wang, T. G., and Zhong, W. Optimization design of wind turbine blades based on niched genetic algorithms (in Chinese). Acta Energiae Solaris Sinica, 33, 1100-1105(2012)
[10] Wang, L., Wang, T. G., and Luo, Y. Improved NSGA-Ⅱ in multi-objective optimization studies of wind turbine blades (in Chinese). Applied Mathematics and Mechanics, 32, 693-701(2011)
[11] Horn, J., Nafploitis, N., and Goldberg, D. E. A niched Pareto genetic algorithm for multiobjective optimization. Proceedings of the First IEEE Conference on Evolutionary Computation, IEEE Press, New Jersey, 82-87(1994)
[12] Deb, K., Agrawal, S., Pratab, A., and Meyarivan, T. A fast elitist non-dominated sorting genetic algorithm for multi-objective:NSGA-Ⅱ. Evolutionary Computation, 6, 182-197(2002)
[13] Johnkman, J., Butterfield, S., Musial, W., and Scott, G. Definition of a 5-MW Reference Wind Turbine for Offshore System Development, National Renewable Energy Laboratory, NREL/TP-500-38060, Virginia (2009)

[1]	Pan WANG, Xiangcheng HAN, Weibin WEN, Baolin WANG, Jun LIANG. Galerkin-based quasi-smooth manifold element (QSME) method for anisotropic heat conduction problems in composites with complex geometry[J]. Applied Mathematics and Mechanics (English Edition), 2024, 45(1): 137-154.
[2]	Haoyang LI, Weijian LIU, Yuhong DONG. A rescaling algorithm for multi-relaxation-time lattice Boltzmann method towards turbulent flows with complex configurations[J]. Applied Mathematics and Mechanics (English Edition), 2023, 44(9): 1597-1612.
[3]	Chao FU, Kuan LU, Y. D. XU, Yongfeng YANG, F. S. GU, Yushu CHEN. Dynamic analysis of geared transmission system for wind turbines with mixed aleatory and epistemic uncertainties[J]. Applied Mathematics and Mechanics (English Edition), 2022, 43(2): 275-294.
[4]	Zheng HONG, Zhengyin YE, Kangling WU, Kun YE. Effect of anisotropic resistance characteristic on boundary-layer transitional flow[J]. Applied Mathematics and Mechanics (English Edition), 2022, 43(12): 1935-1950.
[5]	Zhiteng GAO, Ye LI, Tongguang WANG, Shitang KE, Deshun LI. Recent improvements of actuator line-large-eddy simulation method for wind turbine wakes[J]. Applied Mathematics and Mechanics (English Edition), 2021, 42(4): 511-526.
[6]	Guanzhong LIU, Xingming GUO, Li ZHU. Dynamic analysis of wind turbine tower structures in complex ocean environment[J]. Applied Mathematics and Mechanics (English Edition), 2020, 41(7): 999-1010.
[7]	Deshun LI, Tao GUO, Rennian LI, Congxin YANG, Zhaoxue CHENG, Ye LI, Wenrui HU. A nonlinear model for aerodynamic configuration of wake behind horizontal-axis wind turbine[J]. Applied Mathematics and Mechanics (English Edition), 2019, 40(9): 1313-1326.
[8]	Qiang LI, Yu GU, Huatao WANG. The influence of temperature on flow-induced forces on quartzcrystal-microbalance sensors in a Chinese liquor identification electronic-nose: three-dimensional computational fluid dynamics simulation and analysis[J]. Applied Mathematics and Mechanics (English Edition), 2019, 40(9): 1301-1312.
[9]	Qingxiang LI, Ming PAN, Quan ZHOU, Yuhong DONG. Drag reduction of turbulent channel flows over an anisotropic porous wall with reduced spanwise permeability[J]. Applied Mathematics and Mechanics (English Edition), 2019, 40(7): 1041-1052.
[10]	Runjie SONG, Shaolong ZHANG, Jianxin LIU. Linear stability theory with the equivalent spanwise wavenumber correction in 3D boundary layers[J]. Applied Mathematics and Mechanics (English Edition), 2019, 40(3): 407-420.
[11]	Lihao WANG, Weixi HUANG, Chunxiao XU, Lian SHEN, Zhaoshun ZHANG. Relationship between wall shear stresses and streamwise vortices in turbulent flows over wavy boundaries[J]. Applied Mathematics and Mechanics (English Edition), 2019, 40(3): 381-396.
[12]	Zhaosheng YU, Chenlin ZHU, Yu WANG, Xueming SHAO. Effects of finite-size neutrally buoyant particles on the turbulent channel flow at a Reynolds number of 395[J]. Applied Mathematics and Mechanics (English Edition), 2019, 40(2): 293-304.
[13]	Yiding ZHU. Experimental and numerical study of flow structures of the second-mode instability[J]. Applied Mathematics and Mechanics (English Edition), 2019, 40(2): 273-282.
[14]	Le FANG, Hongkai ZHAO, Weidan NI, Jian FANG, Lipeng LU. Non-equilibrium turbulent phenomena in the flow over a backward-facing ramp[J]. Applied Mathematics and Mechanics (English Edition), 2019, 40(2): 215-236.
[15]	Deshun LI, Zhenxi ZHAO, Yinran LI, Qing WANG, Rennian LI, Ye LI. Effects of the particle Stokes number on wind turbine airfoil erosion[J]. Applied Mathematics and Mechanics (English Edition), 2018, 39(5): 639-652.

Progresses in application of computational fluid dynamic methods to large scale wind turbine aerodynamics

Progresses in application of computational fluid dynamic methods to large scale wind turbine aerodynamics

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价