Effective turbulence and its implications in wind turbine fatigue assessment-Reference-Cited by-同舟云学术

Effective turbulence and its implications in wind turbine fatigue assessment

Published:2019-12 Issue:12 Volume:22 Page:1699-1715
ISSN:1095-4244
Container-title:Wind Energy
language:en
Short-container-title:Wind Energy

Author:

Slot René M.M.¹²^ORCID,Sørensen John D.¹,Svenningsen Lasse²,Moser Wolfgang³,Thøgersen Morten L.²

Affiliation:

1. Department of Civil EngineeringUniversity of Aalborg Aalborg 9220 Denmark

2. EMD International A/S Aalborg 9220 Denmark

3. Nordex Energy GmbHTurbine Engineering Langenhauser Chaussee 600 22419 Hamburg Germany

Funder

Innovationsfonden

Aalborg Universitet

Publisher

Wiley

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/we.2397

Reference31 articles.

1. IEC.International Standard IEC 61400‐1 ed. 3 “Wind turbines—part 1 design requirements”.2010.

2. HenriksenSS MalcolmDJ ThomsonJ.Effective turbulence in wind turbine site suitability assessment. In: European Wind Energy Conference and Exhibition 2012 EWEC 2012. 2;2012:959‐966.

3. VeldkampD.Chances in wind energy. PhD Thesis.2006.

4. Effective turbulence models and fatigue reliability in wind farms

Cited by 15 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. Impact of low-frequency fluctuations on loads of a fixed-bottom offshore reference wind turbine;Journal of Physics: Conference Series;2024-06-01

2. Sensitivity of fatigue reliability in wind turbines: effects of design turbulence and the Wöhler exponent;Wind Energy Science;2024-04-05

3. A physics-guided machine learning framework for real-time dynamic wake prediction of wind turbines;Physics of Fluids;2024-03-01

4. A computational framework for the co-optimization of platform hydrodynamic and passive structural control of floating offshore wind turbines;Ocean Engineering;2024-02

5. Difference in load predictions obtained with effective turbulence vs. a dynamic wake meandering modeling approach;Wind Energy Science;2023-09-28