Experimental validation on the dynamic response of a novel floater uniting a vertical-axis wind turbine with a steel fishing cage

系泊 浪涌 锤子 涡轮机 工程类 海洋工程 风浪 塔楼 结构工程 空气动力学 声学 地质学 机械 气象学 物理 航空航天工程 海洋学
作者
Huadong Zheng,Xiang Yuan Zheng,Yu Lei,Dong-An Li,Xiang Ci
出处
期刊:Ocean Engineering [Elsevier]
卷期号:243: 110257-110257 被引量:16
标识
DOI:10.1016/j.oceaneng.2021.110257
摘要

A floating vertical-axis wind turbine (VAWT) concept that combines a VAWT with a steel fishing cage has been proposed by lead authors. To probe kinetic characteristics of this floater, this study performs a series of model tests at a 1/40 scale. The comprehensive calibration tests, including wind/wave field quality validation tests, hammer tests, quasi-static mooring tests, and decay tests, are performed for various identification purposes. After that a series of basin tests for the floater under regular waves, irregular waves, and irregular waves with steady/turbulent wind are performed. The experimental data of motions and loads are compared with numerical predictions from an in-house fully coupled simulation tool. Good agreements are observed, affirming the accuracy of the developed simulation tool. Because the main dimension of cage coincides with wavelength and , multi-peaks appear in surge and pitch spectra in the wave frequency band (0.3–1.3 rad/s). The second-order wave effects are clearly observed in tests, but they induce a much smaller low-frequency motion response (<0.3 rad/s) than that by aerodynamic effects. The mooring tension response is influenced by surge motions more than by first-order wave actions. Third-per-revolution (3P) effects are dominant in tower-top shear forces but insignificant to the platform motions.

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
刚刚
Owen应助lafeierwxk采纳,获得10
刚刚
1秒前
木鱼应助tom采纳,获得10
1秒前
acat发布了新的文献求助10
1秒前
xinxin完成签到,获得积分10
1秒前
耍酷的指甲油完成签到,获得积分10
1秒前
dajkhdsak完成签到,获得积分10
2秒前
科研通AI6.1应助抱抱你采纳,获得10
2秒前
2秒前
顾矜应助王路采纳,获得10
2秒前
NexusExplorer应助楚歌采纳,获得10
3秒前
JamesPei应助沙拉酱采纳,获得10
3秒前
Allure完成签到,获得积分10
3秒前
3秒前
科研通AI6.1应助化学采纳,获得30
3秒前
3秒前
4秒前
cjl501发布了新的文献求助10
4秒前
4秒前
4秒前
4秒前
LHL发布了新的文献求助10
5秒前
5秒前
ZIYE发布了新的文献求助10
5秒前
5秒前
海绵崽崽发布了新的文献求助10
6秒前
6秒前
英姑应助xztx采纳,获得10
6秒前
斯文败类应助欣喜若灵采纳,获得10
7秒前
zeng发布了新的文献求助10
7秒前
sunyuxi完成签到 ,获得积分10
7秒前
文艺映之发布了新的文献求助10
7秒前
7秒前
7秒前
认真二娘11完成签到,获得积分10
7秒前
高高从梦发布了新的文献求助10
8秒前
兔子不吃胡萝卜完成签到 ,获得积分10
8秒前
8秒前
666完成签到,获得积分10
9秒前
高分求助中
(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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6016722
求助须知:如何正确求助?哪些是违规求助? 7599299
关于积分的说明 16153405
捐赠科研通 5164494
什么是DOI,文献DOI怎么找? 2764681
邀请新用户注册赠送积分活动 1745695
关于科研通互助平台的介绍 1634980