The effects of the erosion present on the leading edge of a wind turbine airfoil(DU 96-W-180)on its aerodynamic performances have been investigated numerically in the framework of a SST k–ωturbulence model based on ...The effects of the erosion present on the leading edge of a wind turbine airfoil(DU 96-W-180)on its aerodynamic performances have been investigated numerically in the framework of a SST k–ωturbulence model based on the Reynolds Averaged Navier-Stokes equations(RANS).The results indicate that when sand-induced holes and small pits are involved as leading edge wear features,they have a minimal influence on the lift and drag coefficients of the airfoil.However,if delamination occurs in the same airfoil region,it significantly impacts the lift and resistance characteristics of the airfoil.Specifically,as the angle of attack grows,there is a significant decrease in the lift coefficient accompanied by a sharp increase in the drag coefficient.As wear intensifies,these effects gradually increase.Moreover,the leading edge wear can exacerbate flow separation near the trailing edge suction surface of the airfoil and cause forward displacement of the separation point.展开更多
Although the aerodynamic loading of wind turbine blades under various conditions has been widely studied,the radial distribution of load along the blade under various yaw conditions and with blade flapping phenomena i...Although the aerodynamic loading of wind turbine blades under various conditions has been widely studied,the radial distribution of load along the blade under various yaw conditions and with blade flapping phenomena is poorly understood.This study aims to investigate the effects of second-order flapwise vibration on the mean and fluctuation characteristics of the torque and axial thrust of wind turbines under yaw conditions using computational fluid dynamics(CFD).In the CFD model,the blades are segmented radially to comprehensively analyze the distribution patterns of torque,axial load,and tangential load.The following results are obtained.(i)After applying flapwise vibration,the torque and axial thrust of wind turbines decrease in relation to those of the rigid model,with significantly increased fluctuations.(ii)Flapwise vibration causes the blades to reciprocate along the axial direction,altering the local angle of attack and velocity of the blades relative to the incoming wind flow.This results in the contraction of the torque region from a circular shape to a complex“gear”shape,which is accompanied by evident oscillations.(iii)Compared to the tangential load,the axial load on the blades is more sensitive to flapwise vibration although both exhibit significantly enhanced fluctuations.This study not only reveals the impact of flapwise vibration on wind turbine blade performance,including the reduction of torque and axial thrust and increased operational fluctuations,but also clarifies the radial distribution patterns of blade aerodynamic characteristics,which is of great significance for optimizing wind turbine blade design and reducing fatigue risks.展开更多
The location of wind turbines on a continuous hilly terrain has an influence on its power outputs.A CFDbased approach is developed to investigate the complex aerodynamic interference between two wind turbines and the ...The location of wind turbines on a continuous hilly terrain has an influence on its power outputs.A CFDbased approach is developed to investigate the complex aerodynamic interference between two wind turbines and the hilly terrain.In this approach,a new three-dimensional model of hilly terrain is established to analyze its viscous effect,and a wind shear is modelled through logarithmic function.They are coupled into the aerodynamics of wind turbine based on“FLUENT”software.Then we apply the proposed method to the NREL Phase VI wind turbines and compare with an experiment in the atmospheric boundary layer(ABL)wind tunnel to validate its accuracy.The simulation also investigates the power outputs of wind turbines on the flat ground and the continuous hilly terrain by changing the location of the wind turbine related to the hilly terrain and the shape of the 1st hill.The results show that the wind turbine located on the top of the 2nd hill has the maximum power;and that when the wind turbine is located on the downstream of the hill,the stall zone should be avoided,and the power of the wind turbine located on the side of the hill is higher than that of the wind turbine located on the front and rear of the hilly terrain.展开更多
为实现风电出力时间序列的高性能模拟,文中提出了一种基于SAGA-KM(simulated annealing and genetic algorithms-K-means)算法实现典型风电场景分类和基于Copula函数进行风电日过程马尔可夫过程建模的风电模拟方法。SAGA-KM算法将传统K...为实现风电出力时间序列的高性能模拟,文中提出了一种基于SAGA-KM(simulated annealing and genetic algorithms-K-means)算法实现典型风电场景分类和基于Copula函数进行风电日过程马尔可夫过程建模的风电模拟方法。SAGA-KM算法将传统KM算法与遗传算法和退火算法相结合,能显著提高风电场景分类效果;基于Copula函数建立的马尔可夫链精细概率模型,以去粗粒化方式实现马尔可夫过程蒙特卡洛模拟,克服了粗粒化引起的概率分布偏差。针对甘肃省某风电场数据进行实际模拟,结果表明文中方法生成模拟序列的统计分布特性、自相关函数特性和日均功率的分布特性与实测数据都非常接近,该方法能很好地保留风电序列的概率分布特性和随时间变化的波动特性,具有重要的工程实用价值。展开更多
【目的】电网电压跌落故障会引起风电机组载荷的剧烈变化,严重影响风电机组的安全稳定运行。随着风电机组的大型化,风电叶片长度不断增加,塔筒增高,其载荷特性对系统参数波动变得敏感。因此,需要研究电网电压跌落过程中关键部件的载荷...【目的】电网电压跌落故障会引起风电机组载荷的剧烈变化,严重影响风电机组的安全稳定运行。随着风电机组的大型化,风电叶片长度不断增加,塔筒增高,其载荷特性对系统参数波动变得敏感。因此,需要研究电网电压跌落过程中关键部件的载荷与振动特性。【方法】提出了基于动态链接库和Socket通信的数据交互方式,建立了Simulink与Bladed的联合仿真方法。基于某3.4 MW风电机组模型,采用给定风速变化的工况对联合仿真平台进行验证。研究了低电压穿越(low voltage ride through,LVRT)过程中机组总体性能与叶片、塔筒载荷的变化关系。【结果】电网电压跌落幅值对电机功率影响较大,对风轮的调节参数影响较小。低电压穿越过程中风轮的桨矩角调节和转速有较长时间的波动,叶片外叶展处载荷的变化大于内叶展处,叶尖位移增加。塔架的振动频率与固有频率接近,存在潜在风险,需要在机组设计中考虑。【结论】联合仿真平台可以很好地模拟风电机组的气动性能与部件载荷的暂态特性,为机组的优化控制提供参考。展开更多
基金Natural Science Foundation of Liaoning Province(2022-MS-305)Foundation of Liaoning Province Education Administration(LJKZ1108).
文摘The effects of the erosion present on the leading edge of a wind turbine airfoil(DU 96-W-180)on its aerodynamic performances have been investigated numerically in the framework of a SST k–ωturbulence model based on the Reynolds Averaged Navier-Stokes equations(RANS).The results indicate that when sand-induced holes and small pits are involved as leading edge wear features,they have a minimal influence on the lift and drag coefficients of the airfoil.However,if delamination occurs in the same airfoil region,it significantly impacts the lift and resistance characteristics of the airfoil.Specifically,as the angle of attack grows,there is a significant decrease in the lift coefficient accompanied by a sharp increase in the drag coefficient.As wear intensifies,these effects gradually increase.Moreover,the leading edge wear can exacerbate flow separation near the trailing edge suction surface of the airfoil and cause forward displacement of the separation point.
基金supported by the National Natural Science Foundation of China(51866012)the Major Project of the Natural Science Foundation of Inner Mongolia Autonomous Region(2018ZD08)the Fundamental Research Funds for the Central Universities of Inner Mongolia Autonomous Region(JY20220037).
文摘Although the aerodynamic loading of wind turbine blades under various conditions has been widely studied,the radial distribution of load along the blade under various yaw conditions and with blade flapping phenomena is poorly understood.This study aims to investigate the effects of second-order flapwise vibration on the mean and fluctuation characteristics of the torque and axial thrust of wind turbines under yaw conditions using computational fluid dynamics(CFD).In the CFD model,the blades are segmented radially to comprehensively analyze the distribution patterns of torque,axial load,and tangential load.The following results are obtained.(i)After applying flapwise vibration,the torque and axial thrust of wind turbines decrease in relation to those of the rigid model,with significantly increased fluctuations.(ii)Flapwise vibration causes the blades to reciprocate along the axial direction,altering the local angle of attack and velocity of the blades relative to the incoming wind flow.This results in the contraction of the torque region from a circular shape to a complex“gear”shape,which is accompanied by evident oscillations.(iii)Compared to the tangential load,the axial load on the blades is more sensitive to flapwise vibration although both exhibit significantly enhanced fluctuations.This study not only reveals the impact of flapwise vibration on wind turbine blade performance,including the reduction of torque and axial thrust and increased operational fluctuations,but also clarifies the radial distribution patterns of blade aerodynamic characteristics,which is of great significance for optimizing wind turbine blade design and reducing fatigue risks.
基金supported by the Natural Science Foundation of Jiangsu Province (No. BK20161537)National Science Key Laboratory Foundation(No.6142220180202)+1 种基金Rotor Aerodynamics Key Laboratory Foundation (No.RAL20180303-1)National Natural Science Foundation of China(No.11502105).
文摘The location of wind turbines on a continuous hilly terrain has an influence on its power outputs.A CFDbased approach is developed to investigate the complex aerodynamic interference between two wind turbines and the hilly terrain.In this approach,a new three-dimensional model of hilly terrain is established to analyze its viscous effect,and a wind shear is modelled through logarithmic function.They are coupled into the aerodynamics of wind turbine based on“FLUENT”software.Then we apply the proposed method to the NREL Phase VI wind turbines and compare with an experiment in the atmospheric boundary layer(ABL)wind tunnel to validate its accuracy.The simulation also investigates the power outputs of wind turbines on the flat ground and the continuous hilly terrain by changing the location of the wind turbine related to the hilly terrain and the shape of the 1st hill.The results show that the wind turbine located on the top of the 2nd hill has the maximum power;and that when the wind turbine is located on the downstream of the hill,the stall zone should be avoided,and the power of the wind turbine located on the side of the hill is higher than that of the wind turbine located on the front and rear of the hilly terrain.
文摘为实现风电出力时间序列的高性能模拟,文中提出了一种基于SAGA-KM(simulated annealing and genetic algorithms-K-means)算法实现典型风电场景分类和基于Copula函数进行风电日过程马尔可夫过程建模的风电模拟方法。SAGA-KM算法将传统KM算法与遗传算法和退火算法相结合,能显著提高风电场景分类效果;基于Copula函数建立的马尔可夫链精细概率模型,以去粗粒化方式实现马尔可夫过程蒙特卡洛模拟,克服了粗粒化引起的概率分布偏差。针对甘肃省某风电场数据进行实际模拟,结果表明文中方法生成模拟序列的统计分布特性、自相关函数特性和日均功率的分布特性与实测数据都非常接近,该方法能很好地保留风电序列的概率分布特性和随时间变化的波动特性,具有重要的工程实用价值。
文摘【目的】电网电压跌落故障会引起风电机组载荷的剧烈变化,严重影响风电机组的安全稳定运行。随着风电机组的大型化,风电叶片长度不断增加,塔筒增高,其载荷特性对系统参数波动变得敏感。因此,需要研究电网电压跌落过程中关键部件的载荷与振动特性。【方法】提出了基于动态链接库和Socket通信的数据交互方式,建立了Simulink与Bladed的联合仿真方法。基于某3.4 MW风电机组模型,采用给定风速变化的工况对联合仿真平台进行验证。研究了低电压穿越(low voltage ride through,LVRT)过程中机组总体性能与叶片、塔筒载荷的变化关系。【结果】电网电压跌落幅值对电机功率影响较大,对风轮的调节参数影响较小。低电压穿越过程中风轮的桨矩角调节和转速有较长时间的波动,叶片外叶展处载荷的变化大于内叶展处,叶尖位移增加。塔架的振动频率与固有频率接近,存在潜在风险,需要在机组设计中考虑。【结论】联合仿真平台可以很好地模拟风电机组的气动性能与部件载荷的暂态特性,为机组的优化控制提供参考。
