Collaborative Research: Effect of Helicity on the Development of Free-Shear Turbulence at High Reynolds Number
合作研究:螺旋度对高雷诺数自由剪切湍流发展的影响
基本信息
- 批准号:1804214
- 负责人:
- 金额:$ 27.81万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-06-15 至 2023-05-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Helicity is an inherent fluid flow property that physically relates to the local streamlines of a flow having helical-shaped structure. In the application of wind energy, a wind turbine can induce non-zero helicity in its turbulent wake. The speed of this wake flow has a strong impact on the power produced by a downstream turbine in a wind farm. This project will examine the effect of manipulating wake helicity generated by a vertical-axis wind turbine (VAWT) on the development of wake turbulence. In particular, the relationship between helicity and the turbulent entrainment of kinetic energy, which is critical to wake flow speed recovery, will be a primary focus. The project is a collaborative effort that exploits field, laboratory, and computational facilities using state-of-the-art equipment and novel methodologies to overcome the challenges of investigating highly turbulent flows. The project will also encompass education activities, such as involving undergraduate student researchers, facilitated by an emphasis on the connection between the fundamental physics of fluids and wind energy applications.The overall goal of this three-year project is to develop an understanding of the effect of helicity on the development of free-shear turbulence in high Reynolds number flows. A VAWT is employed as a 'helicity generator', where initial helicity in the turbine wake is controlled by turbine blade geometry and rotational speed, and the subsequent evolution of the turbulent wake is examined. Key components of this collaborative research effort will include: (1) field experiments to quantify wake helicity for utility-scale VAWTs in an atmospheric boundary layer flow using 3D particle tracking velocimetry, (2) wind tunnel experiments to achieve high spatio-temporal data of the VAWT wake using time-resolved stereoscopic particle image velocimetry, and (3) large eddy simulations to efficiently probe the effects of helicity by means not easily measured in the experiments. This combined effort offers an opportunity to investigate the physical effects of helicity at high Reynolds number, which contributes to basic fluid dynamics knowledge that could be used to inform turbulence models or more directly in applications such as wind farming.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
螺旋度是一种固有的流体流动特性,其物理上与具有螺旋形结构的流体的局部流线相关。在风能利用中,涡轮机的湍流尾迹会产生非零螺旋度。该尾流的速度对由风力发电场中的下游涡轮机产生的功率具有强烈的影响。本计画将探讨操控垂直轴风力涡轮机(VAWT)所产生的尾流螺旋度对尾流紊流发展的影响。特别是,螺旋度和湍流夹带的动能,这是关键的尾流速度恢复之间的关系,将是一个主要的焦点。该项目是一项合作努力,利用现场,实验室和计算设施,使用最先进的设备和新颖的方法,以克服调查高度湍流的挑战。该项目还将包括教育活动,例如让本科生研究人员参与,并强调流体基础物理学与风能应用之间的联系,这一为期三年的项目的总体目标是了解螺旋度对高雷诺数流动中自由剪切湍流发展的影响。采用VAWT作为“螺旋度发生器”,其中涡轮机尾流中的初始螺旋度由涡轮机叶片几何形状和转速控制,并检查湍流尾流的后续演变。这项合作研究工作的关键组成部分将包括:(1)使用3D粒子跟踪速度测量来量化大气边界层流中的公用事业规模VAWT的尾流螺旋度的现场实验,(2)使用时间分辨立体粒子图像速度测量来获得VAWT尾流的高时空数据的风洞实验,(3)大涡模拟,通过实验中不易测量的手段有效地探测螺旋度的影响。这一共同努力为研究高雷诺数下螺旋度的物理效应提供了一个机会,这有助于获得基本的流体动力学知识,这些知识可用于为湍流模型提供信息,或更直接地用于风力发电等应用。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Large-eddy simulation of helical- and straight-bladed vertical-axis wind turbines in boundary layer turbulence
边界层湍流中螺旋叶片和直叶片垂直轴风力机的大涡模拟
- DOI:10.1063/5.0100169
- 发表时间:2022
- 期刊:
- 影响因子:2.5
- 作者:Gharaati, Masoumeh;Xiao, Shuolin;Wei, Nathaniel J.;Martínez-Tossas, Luis A.;Dabiri, John O.;Yang, Di
- 通讯作者:Yang, Di
Large-eddy simulations of turbulent flows in arrays of helical- and straight-bladed vertical-axis wind turbines
螺旋叶片和直叶片垂直轴风力涡轮机阵列中湍流的大涡模拟
- DOI:10.1063/5.0172007
- 发表时间:2023
- 期刊:
- 影响因子:2.5
- 作者:Gharaati, Masoumeh;Wei, Nathaniel J.;Dabiri, John O.;Martínez-Tossas, Luis A.;Yang, Di
- 通讯作者:Yang, Di
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Di Yang其他文献
Coupled Wind-Wave Prediction for Ship Motion
船舶运动的风浪耦合预测
- DOI:
- 发表时间:
2008 - 期刊:
- 影响因子:0
- 作者:
Lian Shen;Di Yang - 通讯作者:
Di Yang
Effects of regenerated tissue extracts after liver injury on the proliferation, differentiation, migration and invasion of SK-HEP1 cells
肝损伤后再生组织提取物对SK-HEP1细胞增殖、分化、迁移和侵袭的影响
- DOI:
10.4103/1995-7645.228439 - 发表时间:
2018 - 期刊:
- 影响因子:3.1
- 作者:
N. Cheng;Xiaoran Liu;Dawei Liu;Fang Liu;Jin Xiang;Di Yang;Guoliang Zhao - 通讯作者:
Guoliang Zhao
MRFS: A Distributed Files System with Geo-replicated Metadata
MRFS:具有地理复制元数据的分布式文件系统
- DOI:
10.1007/978-3-319-11194-0_21 - 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
J. Yu;Weigang Wu;Di Yang;Ning Huang - 通讯作者:
Ning Huang
A linearity-preserving vertex interpolation algorithm for cell-centered finite volume approximations of anisotropic diffusion problems
用于各向异性扩散问题的单元中心有限体积近似的保持线性顶点插值算法
- DOI:
10.1108/hff-04-2019-0354 - 发表时间:
2019-09 - 期刊:
- 影响因子:4.2
- 作者:
Di Yang;Zhiming Gao - 通讯作者:
Zhiming Gao
Association of chemical constituents and pollution sources of ambient fine particulate air pollution and biomarkers of oxidative stress associated with atherosclerosis: A panel study among young adults in Beijing, China
环境细颗粒物空气污染的化学成分和污染源与动脉粥样硬化相关氧化应激生物标志物的关联:中国北京年轻人的小组研究
- DOI:
10.1016/j.chemosphere.2015.04.096 - 发表时间:
2015 - 期刊:
- 影响因子:8.8
- 作者:
Shaowei Wu;Di Yang;Hongying Wei;Bin Wang;Jing Huang;Hongyu Li;Masayuki Shima;Furong Deng;Xinbiao Guo - 通讯作者:
Xinbiao Guo
Di Yang的其他文献
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{{ truncateString('Di Yang', 18)}}的其他基金
Excellence in Research:Towards Data and Machine Learning Fairness in Smart Mobility
卓越研究:实现智能移动中的数据和机器学习公平
- 批准号:
2401655 - 财政年份:2024
- 资助金额:
$ 27.81万 - 项目类别:
Standard Grant
RAPID: Collaborative Research: Multifaceted Data Collection on the Aftermath of the March 26, 2024 Francis Scott Key Bridge Collapse in the DC-Maryland-Virginia Area
RAPID:协作研究:2024 年 3 月 26 日 DC-马里兰-弗吉尼亚地区 Francis Scott Key 大桥倒塌事故后果的多方面数据收集
- 批准号:
2427232 - 财政年份:2024
- 资助金额:
$ 27.81万 - 项目类别:
Standard Grant
Collaborative Research: ELET2: Engaged Learning Environment for Emerging Transportation Technologies
合作研究:ELET2:新兴交通技术的参与式学习环境
- 批准号:
2315450 - 财政年份:2023
- 资助金额:
$ 27.81万 - 项目类别:
Standard Grant
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Research on Quantum Field Theory without a Lagrangian Description
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Cell Research
- 批准号:31224802
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Cell Research (细胞研究)
- 批准号:30824808
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