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A COUPLED WIND-WAVE-TURBINE SOLVER FOR OFFSHORE WIND FARM

机译:海上风电场耦合的风波涡轮解算器

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The coupled wind-wave solver (Yang & Shen, 2011) is extended to offshore wind energy research, with the embedment of turbine model (Yang & Sotiropoulos, 2015). The composite solver consists of a high-order spectral method for surface waves, large-eddy simulation for offshore wind on wave-surface-fitted dynamic grid, and an actuator based model for the representation of blades and nacelles. The blades are discretized by line elements, and its bound motion with floating platform is considered. Some smoothed spectral operations are applied to alleviate Gibbs phenomenon brought by local jump of turbine force. By performing simulations for a turbine array on land and over ocean waves, we have analyzed the impacts of waves on the wind farm in terms of mean wind speed and mean kinetic energy budget. It is found that a fast-propagating swell at the sea surface leads to a higher mean velocity at turbine hub height, which affects the wind power extraction. The influence of floating platform motion is also investigated. It is found that pitch motion has stronger influence than other in-plane motions, i.e., surge and heave. The interaction between tip vortex sheet and nacelle wake meandering is also studied. The intersection of these two flow structures coincides with a change of growth rate of mean velocity deficit width. The results will be useful for the under-standing and control of turbine wakes in offshore wind farm.
机译:耦合风波求解器(Yang&Shen,2011)扩展到海上风能研究,并采用了涡轮机模型(Yang&Sotiropoulos,2015)。该复合求解器包括用于表面波的高阶谱方法,用于在波浪表面拟合的动态网格上的海上风的大涡模拟以及用于叶片和机舱表示的基于执行器的模型。叶片通过线元素离散化,并考虑了其与浮动平台的绑定运动。应用一些平滑的频谱操作来减轻涡轮力局部跳动带来的吉布斯现象。通过对陆地和海浪上的涡轮机阵列进行仿真,我们从平均风速和平均动能预算的角度分析了波浪对风电场的影响。已经发现,海面的快速膨胀会导致涡轮轮毂高度处的平均速度更高,从而影响风能的提取。还研究了浮动平台运动的影响。发现俯仰运动比其他平面运动,即喘振和起伏具有更大的影响。还研究了尖端涡旋片和机舱尾流曲折之间的相互作用。这两个流动结构的交点与平均速度赤字宽度的增长率变化一致。研究结果将有助于了解和控制海上风电场的涡轮机尾流。

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  • 来源
    《ASME 1st international offshore wind technical conference》|2018年|V001T01A030.1-V001T01A030.12|共12页
  • 会议地点 San Francisco(US)
  • 作者单位

    School of Civil Engineering Harbin Institute of Technology Harbin Heilongjiang 150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of Ministry of Industry and Information Technology Harbin Institute of Technology Harbin Heilongjiang 150090 China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin Heilongjiang 150090 China;

    St. Anthony Falls Laboratory University of Minnesota Minneapolis Minnesota 55414 Department of Mechanical Engineering University of Minnesota Minneapolis Minnesota 55455;

    School of Civil Engineering Harbin Institute of Technology Harbin Heilongjiang 150090 China;

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