Wind stress modification by offshore wind turbines: A numerical study of wave blocking impacts

被引：0
|
作者：
Zhao, Biao [1 ]
Sahlée, Erik [1 ]
Du, Jianting [2 ]
Wu, Lichuan [1 ]
机构：
[1] Department of Earth Sciences, Uppsala University, Uppsala, Sweden
[2] DHI A/S, Agern Allé 5, Hørsholm, Denmark
来源：
Ocean Engineering | 2024年 / 313卷
关键词：
Offshore wind energy; as a clean and renewable resource; offers numerous advantages over onshore wind energy due to higher wind speeds and greater turbine capacity. However; the inadequate representation of wave-atmosphere interaction within the marine-atmospheric boundary layer may constrain wind resource assessments and; consequently; the design and layout of offshore wind turbines. By using the third-generation spectral wave model WAVEWATCH III; high-resolution numerical experiments which are capable of resolving the wind turbine foundation have been conducted to explore the blocking impact of wind turbine foundation on downstream wind stress. The findings provided significant insights into the factors influencing this effect; including foundation diameter; sea state; water depth; and wave directional spreading. Specifically; higher model resolution enables a more detailed characterization of wind stress distribution behind wind turbines. Increasing the foundation diameter resulted in a reduction of downstream wind stress. Notably; changes in wind stress exhibit a strong dependence on the sea state. The use of double periodic boundary conditions for the simulation domain enables an approximate representation of the entire wind farm by using a single turbine. Model results indicate that after waves pass through 20 turbines; domain-averaged wind stress decreases by approximately 3%; a figure that increases to 6% after passing through 50 turbines. The findings suggest the need to explore to what extent the changes in wind stress can alter wind profiles and how to parameterize the blocking impact of turbine foundations in wave models. This could have significant implications for wind farm site selection and layout design. © 2024 The Authors;
D O I：
10.1016/j.oceaneng.2024.119651
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