CoFlow喷气翼型提高风力涡轮机效率

Yan Ren, Kewei Xu, Gecheng Zha
{"title":"CoFlow喷气翼型提高风力涡轮机效率","authors":"Yan Ren, Kewei Xu, Gecheng Zha","doi":"10.2514/6.2022-1787","DOIUrl":null,"url":null,"abstract":"The aerodynamic performance and flow structures of a high efficiency Co-Flow Jet (CFJ) wind turbine is studied in this paper. CFJ is a zero-net-mass-flux active flow control method that dramatically increases airfoil lift coefficient and suppresses flow separation at a low energy expenditure. The 3D Reynolds Averaged Navier-Stokes (RANS) equations with one-equation Spalart-Allmaras (SA) turbulence model are solved to simulate the 3D flows of the wind turbines. The CFJ-Wind Turbine in this paper utilizes a new CFJ-NACA6421 airfoil, but the twist and chord distributions are the same as those of the NREL 5.029m radius Phase VI wind turbine, which is used as the baseline turbine for comparison. The predicted power coefficient of the baseline turbine agrees excellently with the measured one by a small deviation of 1.1%. The predicted surface pressure distributions are also in very good agreement with the experiment. The CFJ injection and suction slots are implemented along the blade span to achieve CFJ active flow control. The study indicates that the CFJ active flow control can significantly enhance the power output of a well optimized conventional wind turbine at its design flow speed. The results show that the flow field around the CFJ wind turbine blade surface suppressed flow separation near the blade root region. The parametric study show that the optimum jet momentum coefficient C µ is 0.02. At the same design RPM of the baseline blade with a tip speed ratio of 5.4 and freestream speed of 7 m/s, the CFJ turbine achieves a power coefficient of 0.475, a 29.4% improvement over the baseline turbine’s design point efficiency. At a higher RPM with the tip speed ratio of 6.3, the CFJ wind turbine net power coefficient is 0.492, which presents 34.1% improvement comparing to the NREL Phase VI wind turbine at its design point. The work on more parametric study is in progress to further optimize the design.","PeriodicalId":192386,"journal":{"name":"AIAA SCITECH 2022 Forum","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Wind Turbine Efficiency Enhancement by CoFlow Jet Airfoil\",\"authors\":\"Yan Ren, Kewei Xu, Gecheng Zha\",\"doi\":\"10.2514/6.2022-1787\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aerodynamic performance and flow structures of a high efficiency Co-Flow Jet (CFJ) wind turbine is studied in this paper. CFJ is a zero-net-mass-flux active flow control method that dramatically increases airfoil lift coefficient and suppresses flow separation at a low energy expenditure. The 3D Reynolds Averaged Navier-Stokes (RANS) equations with one-equation Spalart-Allmaras (SA) turbulence model are solved to simulate the 3D flows of the wind turbines. The CFJ-Wind Turbine in this paper utilizes a new CFJ-NACA6421 airfoil, but the twist and chord distributions are the same as those of the NREL 5.029m radius Phase VI wind turbine, which is used as the baseline turbine for comparison. The predicted power coefficient of the baseline turbine agrees excellently with the measured one by a small deviation of 1.1%. The predicted surface pressure distributions are also in very good agreement with the experiment. The CFJ injection and suction slots are implemented along the blade span to achieve CFJ active flow control. The study indicates that the CFJ active flow control can significantly enhance the power output of a well optimized conventional wind turbine at its design flow speed. The results show that the flow field around the CFJ wind turbine blade surface suppressed flow separation near the blade root region. The parametric study show that the optimum jet momentum coefficient C µ is 0.02. At the same design RPM of the baseline blade with a tip speed ratio of 5.4 and freestream speed of 7 m/s, the CFJ turbine achieves a power coefficient of 0.475, a 29.4% improvement over the baseline turbine’s design point efficiency. At a higher RPM with the tip speed ratio of 6.3, the CFJ wind turbine net power coefficient is 0.492, which presents 34.1% improvement comparing to the NREL Phase VI wind turbine at its design point. The work on more parametric study is in progress to further optimize the design.\",\"PeriodicalId\":192386,\"journal\":{\"name\":\"AIAA SCITECH 2022 Forum\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AIAA SCITECH 2022 Forum\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2514/6.2022-1787\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AIAA SCITECH 2022 Forum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2514/6.2022-1787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

本文研究了高效共流射流风力机的气动性能和流动结构。CFJ是一种零净质量通量的主动流动控制方法,能以较低的能量消耗显著提高翼型升力系数,抑制流动分离。采用单方程Spalart-Allmaras (SA)湍流模型求解三维Reynolds平均Navier-Stokes (RANS)方程,模拟风力机的三维流动。本文的cfj -风力机采用了一种新的CFJ-NACA6421翼型,但扭曲和弦分布与NREL 5.029m半径的六期风力机相同,作为基准涡轮机进行比较。预测的基准涡轮功率系数与实测值吻合良好,误差仅为1.1%。预测的表面压力分布也与实验结果吻合得很好。CFJ喷注槽和抽吸槽沿叶跨布置,实现CFJ主动流动控制。研究表明,CFJ主动流量控制可以显著提高优化后的常规风力机在设计风速下的输出功率。结果表明,CFJ风力机叶片表面周围的流场抑制了叶片根部附近的流动分离。参数化研究表明,最佳射流动量系数Cµ为0.02。在基线叶片相同设计转数下,叶尖速比为5.4,自由流速度为7 m/s, CFJ涡轮的功率系数为0.475,比基线涡轮的设计点效率提高了29.4%。在较高转速下,叶尖速比为6.3时,CFJ风机净功率系数为0.492,比NREL六期风机设计点提高34.1%。更多的参数化研究工作正在进行中,以进一步优化设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Wind Turbine Efficiency Enhancement by CoFlow Jet Airfoil
The aerodynamic performance and flow structures of a high efficiency Co-Flow Jet (CFJ) wind turbine is studied in this paper. CFJ is a zero-net-mass-flux active flow control method that dramatically increases airfoil lift coefficient and suppresses flow separation at a low energy expenditure. The 3D Reynolds Averaged Navier-Stokes (RANS) equations with one-equation Spalart-Allmaras (SA) turbulence model are solved to simulate the 3D flows of the wind turbines. The CFJ-Wind Turbine in this paper utilizes a new CFJ-NACA6421 airfoil, but the twist and chord distributions are the same as those of the NREL 5.029m radius Phase VI wind turbine, which is used as the baseline turbine for comparison. The predicted power coefficient of the baseline turbine agrees excellently with the measured one by a small deviation of 1.1%. The predicted surface pressure distributions are also in very good agreement with the experiment. The CFJ injection and suction slots are implemented along the blade span to achieve CFJ active flow control. The study indicates that the CFJ active flow control can significantly enhance the power output of a well optimized conventional wind turbine at its design flow speed. The results show that the flow field around the CFJ wind turbine blade surface suppressed flow separation near the blade root region. The parametric study show that the optimum jet momentum coefficient C µ is 0.02. At the same design RPM of the baseline blade with a tip speed ratio of 5.4 and freestream speed of 7 m/s, the CFJ turbine achieves a power coefficient of 0.475, a 29.4% improvement over the baseline turbine’s design point efficiency. At a higher RPM with the tip speed ratio of 6.3, the CFJ wind turbine net power coefficient is 0.492, which presents 34.1% improvement comparing to the NREL Phase VI wind turbine at its design point. The work on more parametric study is in progress to further optimize the design.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Program Overview: Vortex Interaction Aerodynamics Relevant to Military Air Vehicle Performance Validation of Simulation of Space Net Deployment and Target Capture with Parabolic Flight Experiment Data Hyperparameters Effect in Deep Convolutional Neural Network Model on Prediction of Fiber Orientation Distribution in Prepreg Platelet Molded Composites Performance and Accuracy Assessment of Line Marching Algorithm Computations Utilizing GPUs Within a Predictive GNSS Quality Service Parametric Study to Elucidate the Mechanisms of Jetting Motion That Bolster Ignition Kernel Development from Repetitively Pulsed Discharges
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1