Wake characteristics behind a tidal turbine with surface waves in turbulent flow analyzed with large-eddy simulation
Author:
Funder
Institute for Geoscience Research
Engineering and Physical Sciences Research Council
University of Manchester
Publisher
American Physical Society (APS)
Link
http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevFluids.9.034608/fulltext
Reference72 articles.
1. Seasonality of turbulence characteristics and wave-current interaction in two prospective tidal energy sites
2. On the influence of collinear surface waves on turbulence in smooth-bed open-channel flows
3. Analysis of tidal turbine blade loading due to blade scale flow
4. Modelling marine turbine arrays in tidal flows
5. Validation of the dynamic load characteristics on a Tidal Stream Turbine when subjected to wave and current interaction
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Sensitivity of the Prediction of Wind Turbine Wakes to the Sub-Grid Scale Model;Journal of Physics: Conference Series;2024-06-01
2. Efficient prediction of tidal turbine fatigue loading using turbulent onset flow from Large Eddy Simulations;Journal of Ocean Engineering and Marine Energy;2024-05-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3