Validation of a FAST semi-submersible floating wind turbine numerical model with DeepCwind test data

涡轮机 海洋工程 海上风力发电 风力发电 工程类 空气动力学 航空航天工程 电气工程
作者
Alexander J. Coulling,Andrew J. Goupee,Amy Robertson,Jason Jonkman,Habib J. Dagher
出处
期刊:Journal of Renewable and Sustainable Energy [American Institute of Physics]
卷期号:5 (2) 被引量:362
标识
DOI:10.1063/1.4796197
摘要

There are global efforts in the offshore wind community to develop reliable floating wind turbine technologies that are capable of exploiting the abundant deepwater wind resource. These efforts require validated numerical simulation tools to predict the coupled aero-hydro-servo-elastic behavior of such systems. To date, little has been done in the public domain to validate floating wind turbine simulation tools. This work begins to address this problem by presenting the validation of a model constructed in the National Renewable Energy Laboratory (NREL) floating wind turbine simulator FAST with 1/50th-scale model test data for a semi-submersible floating wind turbine system. The test was conducted by the University of Maine DeepCwind program at Maritime Research Institute Netherlands' offshore wind/wave basin, located in the Netherlands. The floating wind turbine used in the tests was a 1/50th-scale model of the NREL 5-MW horizontal-axis reference wind turbine with a 126 m rotor diameter. This turbine was mounted to the DeepCwind semi-submersible floating platform. This paper first outlines the details of the floating system studied, including the wind turbine, tower, platform, and mooring components. Subsequently, the calibration procedures used for tuning the FAST floating wind turbine model are discussed. Following this calibration, comparisons of FAST predictions and test data are presented that focus on system global and structural response resulting from aerodynamic and hydrodynamic loads. The results indicate that FAST captures many of the pertinent physics in the coupled floating wind turbine dynamics problem. In addition, the results highlight potential areas of improvement for both FAST and experimentation procedures to ensure accurate numerical modeling of floating wind turbine systems.
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
刚刚
无名氏马完成签到,获得积分10
1秒前
1秒前
YYQYYQYYQ发布了新的文献求助10
3秒前
疯狂的晓山完成签到,获得积分10
3秒前
松园112完成签到,获得积分10
4秒前
幸福雪糕发布了新的文献求助10
5秒前
小橘子完成签到 ,获得积分10
5秒前
7秒前
7秒前
木于完成签到,获得积分10
9秒前
12345678发布了新的文献求助10
11秒前
无辣不欢的豆子完成签到 ,获得积分10
11秒前
张欢馨应助jiangnan采纳,获得10
12秒前
12秒前
霸气师完成签到 ,获得积分10
14秒前
小杜完成签到,获得积分10
14秒前
14秒前
14秒前
感动的白梅完成签到 ,获得积分10
15秒前
天天快乐应助北凤采纳,获得10
15秒前
1baby完成签到,获得积分10
16秒前
17秒前
Lay发布了新的文献求助20
17秒前
18秒前
鳗鱼洙完成签到,获得积分10
18秒前
12345678完成签到,获得积分20
19秒前
19秒前
20秒前
路远程发布了新的文献求助10
21秒前
Tomyyh完成签到,获得积分10
21秒前
Nole应助thebin采纳,获得10
21秒前
biubiubiu完成签到,获得积分10
21秒前
靓丽续完成签到,获得积分10
21秒前
lly完成签到,获得积分10
22秒前
嘟嘟庞完成签到,获得积分10
22秒前
专业中药人完成签到,获得积分10
24秒前
完美世界应助yang采纳,获得10
24秒前
25秒前
求真完成签到,获得积分10
25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
化工安全与环保 1000
Autoparametric Resonance in Mechanical Systems 1000
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7652835
求助须知:如何正确求助?哪些是违规求助? 9224115
关于积分的说明 19812045
捐赠科研通 7218690
什么是DOI,文献DOI怎么找? 3279065
关于科研通互助平台的介绍 2439752
邀请新用户注册赠送积分活动 2278217