Towards the development of a wake meandering model based on neural networks | |
Yang XL(杨晓雷) | |
会议录名称 | Journal of Physics: Conference Series |
2020-09-01 | |
页码 | 062026 |
会议名称 | Science of Making Torque from Wind 2020 |
会议日期 | September 28, 2020 - October 2, 2020 |
会议地点 | TU Delft |
摘要 | In this work, we develop a neural network model for predicting the instantaneous wake position, which is crucial for a wake meandering model. The data used for training are from the large-eddy simulation of a utility-scale wind turbine. A neural network of four hidden layers with 128 units for each layer is found to be effective when training the model. Effects of different input features on the accuracy of the trained model are systematically tested. It is found that the input features including the downwind and crosswind velocities at two locations upwind of the turbine and the thrust and torque acting on the turbine are enough to guarantee the accuracy of the trained model. Without using the thrust and torque as the input features, the accuracy of the model is significantly worse. |
WOS记录号 | IOP:JPCS_1618_6_062026 |
收录类别 | EI ; CPCI-S |
语种 | 英语 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://dspace.imech.ac.cn/handle/311007/85560 |
专题 | 非线性力学国家重点实验室 |
作者单位 | The State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China. University of Chinese Academy of Sciences, Beijing 100049, China. |
推荐引用方式 GB/T 7714 | Yang XL. Towards the development of a wake meandering model based on neural networks[C]Journal of Physics: Conference Series,2020:062026. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
1618_062026.pdf(883KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
查看访问统计 |
导出为Endnote文件 |
Lanfanshu学术 |
Lanfanshu学术中相似的文章 |
[Yang XL(杨晓雷)]的文章 |
百度学术 |
百度学术中相似的文章 |
[Yang XL(杨晓雷)]的文章 |
必应学术 |
必应学术中相似的文章 |
[Yang XL(杨晓雷)]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论