考虑叶片相互影响风力机涡流发生器参数化建模

doi:10.3901/JME.2018.02.201

机械工程学报 ›› 2018, Vol. 54 ›› Issue (2): 201-208.doi: 10.3901/JME.2018.02.201

考虑叶片相互影响风力机涡流发生器参数化建模

赵振宙¹, 严畅¹, 王同光², 沈文忠³, 郑源¹, 许波峰¹

1. 河海大学能源与电气学院南京 210096;
2. 南京航空航天大学江苏省风力机设计高技术研究重点实验室南京 210016;
3. 丹麦科技大学风能系灵比 2800 丹麦

收稿日期:2017-02-27 修回日期:2017-08-20 出版日期:2018-01-20 发布日期:2018-01-20
通讯作者: 赵振宙(通信作者),男,1972年出生,博士后,副教授。主要研究方向为风力机气动流场控制。E-mail:joephy@163.com
基金资助:
国家自然科学基金（11502070）、国家重点基础研究发展计划（973计划，2014CB046200）和江苏省六大人才高峰（XNY-007）资助项目。

Parametric Model of Vortex Generators of Wind Turbine Considering Inter-effect of Winglets

ZHAO Zhenzhou¹, YAN Chang¹, WANG Tongguang², SHEN Wenzhong³, ZHENG Yuan¹, XU Bofeng¹

1. College of Energy and Electric Engineering, Hohai University, Nanjing 211100;
2. Jiangsu Key Laboratory of Hi-Tech Research for Wind Turbine Design, Nanjing University of Aeronautics & Astronautics, Nanjing 210016;
3. Department of Wind Energy, Technical University of Denmark, Lyngby, 2800, Denmark

Received:2017-02-27 Revised:2017-08-20 Online:2018-01-20 Published:2018-01-20

摘要/Abstract

摘要： 参数化模型可解决数值计算中涡流发生器（Vortex generators，VGs）实体建模带来网格数量大的问题。基于升力线和三角翼理论，考虑了叶片间相互影响，建立了反向旋转、由三角翼构成的阵列式VGs的参数化涡模型，给出三角翼的最大环量值计算方法，以源项加入N-S方程，用于模拟VGs对叶片气动性能的影响。分别采用阵列式和单一叶片模型计算安装于平板的VGs环量特性，并与文献试验数据进行对比，结果显示：在0°≤α≤18°内，阵列式模型的计算误差仅为4.8%，在α=24°误差为13.2%；单一叶片模型计算结果随攻角增大而较大偏离试验数据，α=24°最大误差达49.4%。模拟了DU91-W2-250直叶片上5组VGs的气动特性，两模型对比结果显示阵列式模拟结果与试验值更加吻合。从流场模拟来看，实体建模和阵列式参数化模型得到的流场基本一致。

关键词: 参数化建模, 风力机, 数值模拟, 涡流发生器

Abstract: The problem of large amounts of girds caused by solid boundary of vortex generators (VGs) in computation fluid dynamic modeling can be resolved by employing parametric model. Considering inter-effect between the wings, based on the theories of lift-line and delta-wing, a parametric model of an array of VGs which are composed of anti-rotating delta wings, is proposed to simulate the effect of shedding vortex on the aerodynamic of lift blade. The maximum circulation is computed from the model and added into the equation of N-S as a source term. The circulation of blade with VGs are calculated employing the VG-arrays model and the single-wing model without considering the inter-effect, the results are compared with the experimental results from literature, the comparison shows:when 0° ≤ α ≤ 18°, the maximum error of the array model is only 4.8%; when α=24°, the error reaches 13.2% which is still much lower than the result of the single-wing model (49.4%). The performance of DU91-W2-250 blade section with five pairs of VGs is modeled; the comparison with the experimental results show the array type model has higher agreement with the results of experiment. The simulation results of fluid field employing two models, real structure model and parametric model of array VGs, have high agreement.

Key words: numerical simulation, parametric model, vortex generators, wind turbine

中图分类号:

赵振宙, 严畅, 王同光, 沈文忠, 郑源, 许波峰. 考虑叶片相互影响风力机涡流发生器参数化建模[J]. 机械工程学报, 2018, 54(2): 201-208.

ZHAO Zhenzhou, YAN Chang, WANG Tongguang, SHEN Wenzhong, ZHENG Yuan, XU Bofeng. Parametric Model of Vortex Generators of Wind Turbine Considering Inter-effect of Winglets[J]. Journal of Mechanical Engineering, 2018, 54(2): 201-208.

参考文献

[1] TIMMER W A,VANROOY R P J O M,Summary of the Delft university wind turbine dedicated airfoils[J]. Journal of Solar Energy Engineering,2003,125(4):488-496.
[2] 李涛,赵振宙,陈景茹,等. 考虑转捩的风力机涡流发生器数值模拟[J]. 机械工程学报,2017,53(4):149-154. LI Tao,ZHAO Zhenzhou,CHEN Jingru,et al. Numerical simulation of wind turbine vortex generators with transition modeling[J]. Journal of Mechanical Engineering,2017,53(4):149-154.
[3] BENDER E E,ANDERSON B H,YAGLE P J. Vortex generator modeling for Navier-Stokes codes[C/CD]//3rd ASME/JSME Fluids Engineering Conference,ASME Paper FEDSM99-6919 San Francisco:ASME,1999.
[4] JIRASEK A. Vortex-generator model and its application to flow control[J]. Journal of Aircraft,2005,42(6):1486-1491.
[5] JULIANNE C D. Modeling vortex generators in a navier-stokes code[J]. AIAA Journal,2011,49(6):748-759.
[6] KUNIK W G. Application of a computational model for vortex generators in subsonic internal flows[C]//AIAA/ASME/SAE/ASEE 22nd Joint Propulsion Conference,1986,Huntsville:1-25.
[7] BRAY T P. A Parametric study of vane and air jet vortex generators[D]. Cranfield:Cranfield University,1998.
[8] WENDT B J. Parametric study of vortices shed from airfoil vortex generators[J]. AIAA,2004,42(11):2185-2195.
[9] VELTE C M,OKULOV V L,HANSEN M O L. Multiple vortex structures in the wake of a rectangular winglet in ground effect[J]. Experimental Thermal and Fluid Science,2016,72:31-39.
[10] MAY N E. A new vortex generator model for use in complex configuration CFD solvers.[C]//19th Applied Aerodynamic Conference,Anehaim CA,11-14 June 2001:AIAA Paper 01-31014.
[11] BOOKER C,ZHANG X. Large-scale source term modeling of vortex generation[C]//27th AIAA Applied Aerodynamics Conference,San Antonio,2009:1-18.
[12] STILLFRIED F V,WALLIN S,JOHANSSON A V. Application of a statistical vortex generator model approach on the short-chord flap of a three-element airfoil[C]//KAT net Ⅱ Conference on Key Aerodynamic Technologies,Bremen,2009:1-9.
[13] NIKOLAOU I G,POLITIS E S,CHAVIAROPOULOS P K. Modeling the flow around airfoils equipped with vortex generators using a modified 2D Navier-Stokes solver[J]. Journal of Solar Energy Engineering,2005,127(2):223-233.
[14] ZHANG L,YANG K,XU J Z. Modeling of delta-wing type vortex generators[J]. China Tech. Sci.,2011,54:277-285.
[15] TRAUB L W. Theoretical and experimental investigation of biplane delta wings[J]. Journal of Aircraft,2001,38:536-546.
[16] PAULEY W R,EATON J K. An experimental study of the development of longitudinal vortex Pairs embedded in a turbulent boundary layer[C]//AIAA 19th Fluid Dynamics Plasma Dynamics and Lasers Conference,Honolulu,1987:1-10.
[17] POLBAMUS E C. A concept of the vortex lift of sharp-edge delta wings based on a leading-edge-suction analogy[R]. Washinton, D. C.:NASA technical note,NASA TN D-3767,1966.
[18] 赵振宙,李涛,王同光,等. 转捩对风力机涡流发生器气动性能影响的数值模拟研究[J]. 中国电机工程学报,2016,36(4):1036-1041. ZHAO Zhenzhou,LI Tao,WANG Tongguang,et al. Numerical research on effect of Transition on Aerodynamic performance of vortex generators of wind turbine[J]. Proceedings of the CSEE,2016,36(4):1036-1041.
[19] 赵振宙,李涛,王同光,等.基于转捩模型的风力机涡流发生器气动特性分析[J]. 中国电机工程学报,2016,36(10):2271-2277. ZHAO Zhenzhou,LI Tao,WANG Tongguang,et al. Analysis on the performance of vortex generators of wind turbine based on transition model[J]. Proceedings of the CSEE,2016,36(10):2271-2277.

考虑叶片相互影响风力机涡流发生器参数化建模

Parametric Model of Vortex Generators of Wind Turbine Considering Inter-effect of Winglets

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

[1]	舒林森, 王家胜, 白海清, 何雅娟, 王波. 磨损轴面激光熔覆过程的数值模拟及试验[J]. 机械工程学报, 2019, 55(9): 217-223.
[2]	徐海良, 徐聪, 曾义聪, 吴波. 固相浓度对深海采矿矿浆泵空化性能影响规律[J]. 机械工程学报, 2019, 55(8): 201-207.
[3]	闫德俊, 王赛, 郑文健, 余洋, 谢浩, 钟美达, 邹晓峰, 杨建国. 1561铝合金薄板随焊干冰激冷变形控制[J]. 机械工程学报, 2019, 55(6): 67-73.
[4]	郑乔, 逯世杰, 李索, 林旭东, 王义峰, 邓德安. 熔敷顺序和管壁厚度对异种钢管板接头焊接残余应力与变形的影响[J]. 机械工程学报, 2019, 55(6): 46-53.
[5]	吴正人, 甄猛, 刘梅, 王松岭, 刘秋升. 压力旋流喷嘴喷雾冷却热传递特性数值模拟[J]. 机械工程学报, 2019, 55(4): 172-180.
[6]	蔡志刚, 陈晓川, 王迪, 鲍劲松. 碳碳复合材料的水射流钻孔技术研究[J]. 机械工程学报, 2019, 55(3): 226-232.
[7]	魏屹, 王永祯, 王文先, 张婷婷, 闫志峰. 一次爆炸焊接制备铝/镁/铝合金复合板的数值模拟[J]. 机械工程学报, 2019, 55(14): 37-42.
[8]	葛磊, 董致新, 李运华, 权龙, 张晓刚, 赵斌. 系列化液压挖掘机数字样机研究[J]. 机械工程学报, 2019, 55(14): 186-196.
[9]	张文武, 余志毅, 李泳江, 程学良. 叶片式气液混输泵全流道内流场特性分析[J]. 机械工程学报, 2019, 55(10): 168-174.
[10]	李昊, 丁晓红, 景大雷. 液冷通道分布优化设计的仿真和试验研究[J]. 机械工程学报, 2019, 55(10): 198-206.
[11]	曹嘉彬, 黄护林, 朱桂平, 李林永, 李来. 两相流磁流体发电机的性能研究[J]. 机械工程学报, 2018, 54(8): 185-191.
[12]	杜冰, 关风龙, 宋鹏飞, 韩兆建, 张鑫, 赵长财. 薄板起皱失稳数值模拟计算方法[J]. 机械工程学报, 2018, 54(24): 42-50.
[13]	周祥曼, 田启华, 杜义贤, 柏兴旺, 张海鸥. 电弧增材成形单道两层熔积过程中的晶粒生长模拟[J]. 机械工程学报, 2018, 54(22): 86-94.
[14]	王超, 孔俊超, 王伟. 考虑软三体接触的粗糙界面混合润滑模型研究[J]. 机械工程学报, 2018, 54(21): 113-119.
[15]	杨立军, 张佳, 王哲, 闫程程. 组织工程骨支架内部微孔结构流场特性分析[J]. 机械工程学报, 2018, 54(20): 71-80.