{"title":"用于估算浮动风力涡轮机性能的真实湍流流入条件","authors":"C´edric Raibaudo, J. Gilloteaux, Laurent Perret","doi":"10.5194/wes-8-1711-2023","DOIUrl":null,"url":null,"abstract":"Abstract. A novel method for generating turbulent inflow boundary conditions for aeroelastic computations is proposed, based on interfacing hybrid hot-wire and particle image velocimetry measurements performed in a wind tunnel to a full-scale load simulation conducted with FAST. This approach is based on the use of proper orthogonal decomposition (POD) to interpolate and extrapolate the experimental data onto the numerical grid. The temporal dynamics of the temporal POD coefficients is driven by the high-frequency hot-wire measurements used as input for a lower-order model built using a multi-time-delay linear stochastic estimation (LSE) approach. Being directly extracted from the data, the generated three-component velocity fields later used as inlet conditions present correct one- and two-point spatial statistics and realistic temporal dynamics. Wind tunnel measurements are performed at a scale of 1:750, using a properly scaled porous disk as a floating wind turbine model. The motions of the platform are imposed by a linear actuator. Between all 6 degrees of freedom (DOFs) possible, the present study focus on the streamwise direction motion of the model (surge motion). The POD analysis of the flow, with or without considering the presence of the surge motion of the model, shows that a few modes are able to capture the characteristics of the most energetic flow structures and the main features of the wind turbine wake, such as its meandering and the influence of the surge motion. The interfacing method is first tested to estimate the performance of a wind turbine in an offshore boundary layer and then those of a wind turbine immersed in the wake of an upstream wind turbine subjected to a sinusoidal surge motion. Results are also compared to those obtained using the standard inflow generation method provided by TurbSim available in FAST.","PeriodicalId":46540,"journal":{"name":"Wind Energy Science","volume":null,"pages":null},"PeriodicalIF":3.6000,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Realistic turbulent inflow conditions for estimating the performance of a floating wind turbine\",\"authors\":\"C´edric Raibaudo, J. Gilloteaux, Laurent Perret\",\"doi\":\"10.5194/wes-8-1711-2023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract. A novel method for generating turbulent inflow boundary conditions for aeroelastic computations is proposed, based on interfacing hybrid hot-wire and particle image velocimetry measurements performed in a wind tunnel to a full-scale load simulation conducted with FAST. This approach is based on the use of proper orthogonal decomposition (POD) to interpolate and extrapolate the experimental data onto the numerical grid. The temporal dynamics of the temporal POD coefficients is driven by the high-frequency hot-wire measurements used as input for a lower-order model built using a multi-time-delay linear stochastic estimation (LSE) approach. Being directly extracted from the data, the generated three-component velocity fields later used as inlet conditions present correct one- and two-point spatial statistics and realistic temporal dynamics. Wind tunnel measurements are performed at a scale of 1:750, using a properly scaled porous disk as a floating wind turbine model. The motions of the platform are imposed by a linear actuator. Between all 6 degrees of freedom (DOFs) possible, the present study focus on the streamwise direction motion of the model (surge motion). The POD analysis of the flow, with or without considering the presence of the surge motion of the model, shows that a few modes are able to capture the characteristics of the most energetic flow structures and the main features of the wind turbine wake, such as its meandering and the influence of the surge motion. The interfacing method is first tested to estimate the performance of a wind turbine in an offshore boundary layer and then those of a wind turbine immersed in the wake of an upstream wind turbine subjected to a sinusoidal surge motion. 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引用次数: 0
摘要
摘要在风洞中进行的混合热线和粒子图像测速测量与利用 FAST 进行的全尺度载荷模拟之间的接口基础上,提出了一种为气动弹性计算生成湍流流入边界条件的新方法。这种方法的基础是使用适当的正交分解(POD)将实验数据内插和外推到数值网格上。时间 POD 系数的时间动态由高频热线测量值驱动,这些测量值用作使用多时间延迟线性随机估计 (LSE) 方法建立的低阶模型的输入。由于直接从数据中提取,生成的三分量速度场后来被用作入口条件,呈现出正确的单点和两点空间统计和逼真的时间动态。风洞测量的比例为 1:750,使用适当比例的多孔盘作为浮动风力涡轮机模型。平台的运动由一个线性致动器施加。在所有可能的 6 个自由度(DOF)中,本研究侧重于模型的流向运动(浪涌运动)。在考虑或不考虑模型激波运动的情况下对流动进行的 POD 分析表明,一些模式能够捕捉到最有能量的流动结构的特征以及风轮机尾流的主要特征,例如其蜿蜒性和激波运动的影响。首先对界面方法进行了测试,以估算离岸边界层中风力涡轮机的性能,然后估算浸没在正弦激波运动的上游风力涡轮机尾流中的风力涡轮机的性能。此外,还将结果与使用 FAST 中 TurbSim 提供的标准流入生成方法得出的结果进行了比较。
Realistic turbulent inflow conditions for estimating the performance of a floating wind turbine
Abstract. A novel method for generating turbulent inflow boundary conditions for aeroelastic computations is proposed, based on interfacing hybrid hot-wire and particle image velocimetry measurements performed in a wind tunnel to a full-scale load simulation conducted with FAST. This approach is based on the use of proper orthogonal decomposition (POD) to interpolate and extrapolate the experimental data onto the numerical grid. The temporal dynamics of the temporal POD coefficients is driven by the high-frequency hot-wire measurements used as input for a lower-order model built using a multi-time-delay linear stochastic estimation (LSE) approach. Being directly extracted from the data, the generated three-component velocity fields later used as inlet conditions present correct one- and two-point spatial statistics and realistic temporal dynamics. Wind tunnel measurements are performed at a scale of 1:750, using a properly scaled porous disk as a floating wind turbine model. The motions of the platform are imposed by a linear actuator. Between all 6 degrees of freedom (DOFs) possible, the present study focus on the streamwise direction motion of the model (surge motion). The POD analysis of the flow, with or without considering the presence of the surge motion of the model, shows that a few modes are able to capture the characteristics of the most energetic flow structures and the main features of the wind turbine wake, such as its meandering and the influence of the surge motion. The interfacing method is first tested to estimate the performance of a wind turbine in an offshore boundary layer and then those of a wind turbine immersed in the wake of an upstream wind turbine subjected to a sinusoidal surge motion. Results are also compared to those obtained using the standard inflow generation method provided by TurbSim available in FAST.