Resolvent-based motion-to-wake modelling of wind turbine wakes under dynamic rotor motion

唤醒 尾流紊流 机械 涡轮机 分离涡模拟 湍流 物理 空气动力学 流入 雷诺平均Navier-Stokes方程 热力学
作者
Zhaobin Li,Xiaolei Yang
出处
期刊:Journal of Fluid Mechanics [Cambridge University Press]
卷期号:980 被引量:1
标识
DOI:10.1017/jfm.2023.1097
摘要

We propose a linearized deterministic model for predicting coherent structures in the wake of a floating offshore wind turbine subject to platform motions. The model's motion-to-wake predictive capability is achieved through two building blocks: a motion-to-forcing (M2F) part and a forcing-to-wake (F2W) part. The M2F model provides a unified framework to parameterize the effects of arbitrary floating wind turbine motions as unsteady loads of a fixed actuator disk, requiring only the radial distribution of the aerodynamics force coefficient on the blade as input. The F2W model is derived based on a bi-global resolvent model obtained from the linearized Navier–Stokes equations, using the time-averaged wake of a fixed wind turbine as input. In addition to its capability of predicting sensitive frequency ranges, the model excels linear stability analysis by providing spatial modes of the wake response in a motion-specific and phase-resolved manner. The model successfully predicts the wake pulsing mode induced by surge, as well as the similarity and difference of the wake meandering modes caused by sway and yaw. Large-eddy simulations under different inflow turbulence intensities (TIs) and length scales are further conducted to analyse the wake meandering triggered by the simultaneous excitation of free-stream turbulence and sway motion. The results show distinct frequency signatures for the wake dynamics induced by ambient turbulence and sway motion. The inflow TI is found to have a stabilizing effect on the wake, reducing the motion-induced wake responses. Such a stabilizing effect is captured satisfactorily with the proposed model, provided that the effective viscosity is calibrated properly using the data from the fixed turbine wake under the corresponding turbulent inflow.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
打打应助蓝歆采纳,获得10
2秒前
ztl17523发布了新的文献求助10
3秒前
osteoclast发布了新的文献求助10
3秒前
robin发布了新的文献求助10
3秒前
4秒前
4秒前
赘婿应助酱鱼采纳,获得10
5秒前
如意巨人发布了新的文献求助10
5秒前
科目三应助zero0122采纳,获得30
5秒前
初景发布了新的文献求助30
5秒前
科研通AI2S应助Jay采纳,获得10
7秒前
7秒前
orixero应助一路向北采纳,获得10
7秒前
所所应助yewendao采纳,获得10
9秒前
传奇3应助qiaoxi采纳,获得10
9秒前
共享精神应助可爱小天才采纳,获得10
9秒前
10秒前
gouqi发布了新的文献求助10
10秒前
FKKKKSY完成签到,获得积分10
11秒前
Ginger发布了新的文献求助10
12秒前
13秒前
Aye发布了新的文献求助10
14秒前
czj完成签到,获得积分10
15秒前
从容安珊完成签到,获得积分10
15秒前
科研通AI2S应助chaochao采纳,获得10
16秒前
17秒前
舒适香露完成签到,获得积分10
17秒前
19秒前
huahua完成签到,获得积分10
19秒前
qiaoxi发布了新的文献求助10
20秒前
科研通AI6.4应助Adila采纳,获得10
20秒前
赘婿应助lssss采纳,获得10
20秒前
科目三应助谦让鹏涛采纳,获得10
23秒前
曙光发布了新的文献求助30
24秒前
酷波er应助范莉采纳,获得10
24秒前
24秒前
25秒前
打打应助骆十八采纳,获得10
26秒前
林林总总发布了新的文献求助10
29秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7251965
求助须知:如何正确求助?哪些是违规求助? 8874421
关于积分的说明 18731916
捐赠科研通 6931932
什么是DOI,文献DOI怎么找? 3199585
关于科研通互助平台的介绍 2374362
邀请新用户注册赠送积分活动 2174123