极端风况下漂浮式风力机尾流数值模拟OA
Numerical simulation of wake flow of floating wind turbine under extreme wind conditions
针对漂浮式风力机尾流效应具有复杂非线性特征,极端风况引发的尾流速度突变会显著加剧这一现象,基于FAST.Farm平台构建新型三机系统(两台15 MW与一台5 MW漂浮式机组),通过调节小型机组在大型机组间的流向间距(2D和6D,D为叶轮直径),重点探究极端工作阵风(EOG)、极端风向变化(EDC)、极端水平风切变(EWSH)和垂直风切变(EWSV)四种典型工况下的尾流演化规律.研究结果表明:当流向间距从2D增至6D时,小型机组对下游15 MW机组尾流影响区域下移,轮毂中心湍流强度降低10%.EOG工况下,系统整体功率提升13%,但湍流强度增幅达20%.EDC工况下,尾流效应减弱,流向间距对功率的影响减弱.极端风切变(EWS)工况下,存在着剧烈的尾流非对称性分布,EWSH工况对功率的影响显著强于EWSV工况,EWSV工况加剧了尾流的剪切效应,湍流强度波动幅度较大,应加强其载荷监测.
Given the complex nonlinear characteristics of the wake effect of floating wind turbines,the sudden change in wake velocity induced by extreme wind conditions can significantly exacerbate this phenomenon.Based on the FAST.Farm platform,a novel three-turbine system(two 15 MW and one 5 MW floating turbines)was constructed.By adjusting the flow direction spacing(2D and 6D,D is is the diameter of the impeller)between the small turbines and the large turbines,the focus was placed on exploring the wake evolution under four typical operating conditions:extreme operating gust(EOG),extreme direction change(EDC),extreme horizontal wind shear(EWSH),and extreme vertical wind shear(EWSV).The research results show that when the flow direction spacing increases from 2D to 6D,the influence area of the small turbines on the wake of the downstream 15 MW turbine moves downwards,and the turbulence intensity at the hub center decreases by 10%.Under EOG conditions,the overall power of the system increases by 13%,but the turbulence intensity increases by 20%.Under EDC conditions,the wake effect weakens,and the influence of flow direction spacing on power decreases.Under extreme wind shear(EWS)conditions,there is a severe asymmetric distribution of the wake.The power impact under EWSH conditions is significantly stronger than that under EWSV conditions.Under EWSV conditions,the shear effect of the wake is intensified,and the turbulence intensity fluctuates greatly.Its load monitoring should be strengthened.
张立栋;刘阳;陈怡冰;张磊;曹善桥
东北电力大学能源与动力工程学院,吉林 长春 132102东北电力大学能源与动力工程学院,吉林 长春 132102东北电力大学能源与动力工程学院,吉林 长春 132102大唐可再生能源试验研究院有限公司,北京 100052大唐可再生能源试验研究院有限公司,北京 100052
能源科技
风力机极端风况垂直串列尾流湍流强度
wind turbineextreme wind conditionsvertical serialwaketurbulence intensity
《华中科技大学学报(自然科学版)》 2026 (1)
27-32,6
吉林省科技厅重点科技项目(2020040314SF).
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