期刊文献+

计算流体力学在大型风力机空气动力学的应用进展 被引量:1

Progresses in Application of Computational Fluid Dynamics to Large Scale Wind Turbine Aerodynamics
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摘要 针对大型风力机设计中的关键空气动力学问题,比较系统地介绍了计算流体力学(computational fluid dynamics,CFD)方法的主要应用,特别是在大型风力机翼型气动分析、风力机流动的数值模拟、风轮空气动力特性的数值计算以及大型风力机叶片的多目标气动优化设计方面的进展.基于CFD方法分别实现了风力机翼型与叶片二维/三维气动特性的准确预测,风力机尾流场涡系结构的准确捕捉;并结合多目标遗传算法对1.5 MW风力机叶片进行了优化,获得了具有高风能利用效率的叶片方案. The applications of computational fluid dynamics (CFD) methods in aerodynamic problems for the design of large scale wind turbines were introduced, especially progresses in the aerodynamic analyses of wind turbine profiles, numerical simulation of flow around wind turbines, numerical computation of aerodynamic performance and multi-objective aerodynamic optimization for large scale wind turbine blades were extensively discussed. With CFD methods, significant prediction was conducted for the 2D/3D aerodynamic characteristics of wind turbine airfoils and blades, the vortex structure of the wake flow was accurately captured. Combined with the efficient multi-objective genetic algorithm, a 1.5 MW NH-1500 optimum blade design with high wind energy conversion efficiency was obtained.
出处 《应用数学和力学》 CSCD 北大核心 2013年第10期1048-1058,共11页 Applied Mathematics and Mechanics
基金 国家自然科学基金资助项目(11172135) 国家重点基础研究发展计划(973计划)资助项目(2014CB046200) 江苏省优势学科建设工程资助项目 南京航空航天大学基本科研业务费专项科研资助项目(NS2012036 NJ20130008)~~
关键词 计算流体力学 风力机 数值模拟 空气动力模型 computational fluid dynamics wind turbine numerical simulation aerodynamic model
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参考文献13

  • 1Hansen M O L. Aerodynamics of Wind Turbines[ M]. London: Earthscan, 2008.
  • 2Blazek J. Computational Fluid Dynamics: Prineiples and Applications [ M ]. London: Elsevi- er, 2006.
  • 3Kim J, Moin P, Moser R. Turbulence statistics in fully developed channel flow at low Reynolds number [ J ]. Journal of Fluid Mechanics, 1987, 177: 133 - 166.
  • 4Churchfield M, Li Y, Moriarty P. A large-eddy simulation study of wake propagation and pow- er production in an array of tidal-current turbines[ R]. National Renewable Energy Laboratory report, NREL/CP-5000-51765, 2011.
  • 5Wu Y T, Port-Agel F. Large-eddy simulation of wind-turbine wakes: evaluation of turbine pa- rametrisations [ J ]. Boundary-Layer Meteorol, 2011, 138 (3) : 345- 366.
  • 6钟伟,王同光.转捩对风力机翼型和叶片失速特性影响的数值模拟[J].空气动力学学报,2011,29(3):385-390. 被引量:16
  • 7Simms D, Schreck S, Hand M, Fingersh L J. NREL unsteady aerodynamics experiment in the nasa-ames wind tunnel: a comparison of predictions to measurements [ R ]. National Renew- able Energy Laboratory Report, NREL/TP-500-29494, 2001.
  • 8Sorensen N N, Michelsen J, Schreck S. Navier-Stokes predictions of the NREL phase VI rotor in the NASA Ames 80 ft120 ft wind tunnel[J]. Wind Energy, 2002, 5(2/3) : 151-159.
  • 9王珑,王同光,钟伟.基于小生境遗传算法的风力机叶片优化设计[J].太阳能学报,2012,33(7):1100-1105. 被引量:4
  • 10王珑,王同光,罗源.改进的NSGA-Ⅱ算法研究风力机叶片多目标优化[J].应用数学和力学,2011,32(6):693-701. 被引量:14

二级参考文献41

  • 1Kim M, Hiroyasu T, Mild M, Watanabe S. SPEA2 +: Improving the performance of the strength Pareto evolutionary algorithm 2 [ C ]//Proceedings of 8th International Conference on Parallel Problem Solving From Nature. Birmingham, UK, 2004: 742-751.
  • 2Watanabe S, Hiroyasu T, Mild M. NCGA: neighborhood cultivation genetic algorithm for multi-objective optimization problems [ C ]//Proceedings of the Genetic and Evolutionary Compution Conference( GECCO' 2002 ), 2002 : 458-465.
  • 3Deb K, Agrawal S, Pratab A, Meyarivan T. A fast elitist non-donfinated sorting genetic algorithm for multi-objective: NSGA- II[J]. Evolutionary Computation, 2002, 6(2) : 182-197.
  • 4Srinivas N, Deb K. Multi-objective optimization using non-dominated sorting in genetic algorithms[J].Evolutionary Computation, 1994, 2(3) : 221-248.
  • 5Deb K, Agrawal R B. Simulated binary crossover for continuous search space[ J]. Complex Syst, 1995,3(9) : 115-148.
  • 6Deb K, Goel T. Controlled elitist non-dominated sorting genetic algorithms for better convergence[ C ]//Proceedings of First International Conference on Evolutionary Multi-Criterion Optimization. Zurich, Switzerland, 2001: 67-81.
  • 7LUO Biao, ZHENG Jin-hua, XIE Jiong-liang, WU Jun. Dynamic crowding distance--a new diversity maintenance strategy for MOEAs [C]//Proceedings of the IEEE International Conference on Natural Computation. NJ: IEEE Press,2008: 580-585.
  • 8Par J, Kima J, Shina Y, Leea J, Parka J. 3 MW class offshore wind turbine development[J]. Current Applied Physics, 2010, 10(2) : 307-310.
  • 9Griffin D A, Zuteck M D. Scaling of composite wind turbine blades for rotors of 80 to 120 meter diameter[J].Journal of Solar Energy Engineering, 2001, 123(4) : 310-319.
  • 10Bossanyi E A. Wind turbine control for load reduction[J]. Wind Energy, 2003, 6 (2) : 229- 244.

共引文献31

同被引文献6

  • 1Jang O M, Amanullah C, Maziar A, et al. Large eddy simulation of the wind turbine wake characteristics in the numerical wind tunnel model[J] Journal of Wind Engineering and Industrial Aerodynamics, 2013, 112(1): 11-24.
  • 2Tadamasa A, Zangeneh M. Numerical prediction of wind turbine noise[J]. Renewable Energy, 2011, 36(7): 1902-1912.
  • 3Huang J C, Herng L, Hsieh T J, et al. Parallel preconditioned WENO scheme for three- dimensional flow simulation of NREL Phase VI Rotor[J]. Computers & Fluids, 2011, 45(1): 276-282.
  • 4Yuwei L, Kwang J P, Tao X, et al. Dynamic overset CFD simulations of wind turbine aerodynamics[J]. Renewable Energy, 2012, 37(1):285-298.
  • 5高文元,王加伟,王现青,马小英.基于通用模型的中期风特性模型仿真研究[J].科学技术与工程,2010,10(2):482-485. 被引量:1
  • 6陈丁刚,屈本宁,赵燕萍.一新型立轴风力机直叶片翼型气动特性数值模拟[J].科学技术与工程,2011,11(2):423-425. 被引量:3

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