Effect of Computational Grid on Prediction of a Vertical axis Wind turbine Rotor Using Delayed Detached-Eddy Simulations

Boumehani Abdellah, N. Belkheir, S. Khelladi
{"title":"Effect of Computational Grid on Prediction of a Vertical axis Wind turbine Rotor Using Delayed Detached-Eddy Simulations","authors":"Boumehani Abdellah, N. Belkheir, S. Khelladi","doi":"10.1109/ICWEAA.2018.8605048","DOIUrl":null,"url":null,"abstract":"The paper presented the grid influence on the prediction of aerodynamic performances of the vertical axis wind turbine DARRIEUS type H. Two different blade mesh topologies, structured and unstructured meshes and different grid resolutions are tested.The simulations are carried out using Delayed detached-eddy simulation (DDES) with two eddy viscosity turbulence models, Spalart-Allmaras (SA) and Menter Shear stress transport (SST) k-o). A high order spatial discretization is used in these computations. For each proposed rotor configuration, flow field characteristics are investigated at same values of tip speed ratio with an incoming wind velocity of $8\\mathrm {m}/\\mathrm {s}$, allowing a quantification of the influence of grid on flow features and dynamic quantities, such as rotor torque and power. The structured mesh topology is observed to give the best results employing the SST $\\mathrm {k}-(j)$ turbulence model, but the computational cost is more expensive as the grid contains a wake block that increases the number of cells.","PeriodicalId":110091,"journal":{"name":"2018 International Conference on Wind Energy and Applications in Algeria (ICWEAA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Wind Energy and Applications in Algeria (ICWEAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWEAA.2018.8605048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

The paper presented the grid influence on the prediction of aerodynamic performances of the vertical axis wind turbine DARRIEUS type H. Two different blade mesh topologies, structured and unstructured meshes and different grid resolutions are tested.The simulations are carried out using Delayed detached-eddy simulation (DDES) with two eddy viscosity turbulence models, Spalart-Allmaras (SA) and Menter Shear stress transport (SST) k-o). A high order spatial discretization is used in these computations. For each proposed rotor configuration, flow field characteristics are investigated at same values of tip speed ratio with an incoming wind velocity of $8\mathrm {m}/\mathrm {s}$, allowing a quantification of the influence of grid on flow features and dynamic quantities, such as rotor torque and power. The structured mesh topology is observed to give the best results employing the SST $\mathrm {k}-(j)$ turbulence model, but the computational cost is more expensive as the grid contains a wake block that increases the number of cells.
计算网格对垂轴风力机转子延迟分离涡模拟预测的影响
本文研究了网格对垂直轴风力机DARRIEUS h型气动性能预测的影响,并对两种不同的叶片网格拓扑、结构化和非结构化网格以及不同的网格分辨率进行了测试。采用Spalart-Allmaras (SA)和Menter剪切应力输运(SST) k-o两种涡黏性湍流模型进行延迟分离涡模拟(DDES)。在这些计算中使用了高阶空间离散化。对于每种提出的转子构型,研究了在相同的叶尖速比值下,当来风风速为$8\mathrm {m}/\mathrm {s}$时的流场特性,从而量化了网格对流动特性和转子转矩和功率等动态量的影响。采用SST $\ mathm {k}-(j)$湍流模型,观察到结构化网格拓扑给出了最好的结果,但计算成本更高,因为网格包含一个尾流块,增加了单元的数量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书