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A Beddoes-Leishman-type model with an optimization-based methodology and airfoil shape parameters

机译:具有基于优化方法和机翼形状参数的Beddoes-Leishman型模型

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Floating offshore wind turbines operate in a highly unsteady environment; thus, many flow transients occur at the blade cross-sectional level, which affect the rotor aerodynamics. In every rotor aerodynamics modelling technique requiring the blade element theory, the blade cross-sectional aerodynamics need to be predicted accurately on the basis of the flow conditions. At reduced frequencies of 0.01 and greater, the flow unsteadiness can be considered significant and cannot be treated as quasisteady. Floating offshore wind turbines can be expected to consistently operate in some degree of yaw or pitch, which may result in reduced frequencies greater than 0.01 over most of the blade when operating at rated wind speeds and rotor RPM. The Beddoes-Leishman model is a comprehensive but complex model for predicting unsteady airfoil aerodynamics, containing 8 dimensionless time constants. In the present study, the Beddoes-Leishman model was compared with experimental results of 10 different airfoil profiles, each performed under a range of Reynolds numbers, motion frequencies, mean, and amplitudes of angle of attack. An optimization was performed for all time constants in the model, the results of which were used to formulate a simplified model with fewer equations, without any reduction in accuracy. Further, optimizations were performed against the experimental results of each airfoil, and the optimized constants were compared with shape parameters of the airfoils, yielding possible correlations, which were then applied in the simplified Beddoes-Leishman model to yield improved accuracy, measured as a 5% reduction in accumulated error between experimental and predicted coefficients of lift.
机译:浮动式海上风力涡轮机在高度不稳定的环境中运行;因此,在叶片横截面上会发生许多流动瞬变,这会影响转子的空气动力学。在每种需要叶片要素理论的转子空气动力学建模技术中,都需要根据流动条件准确预测叶片横截面空气动力学。在降低的频率0.01或更高时,流动不稳定可以被认为是重要的,不能被视为准稳态。浮动式海上风力涡轮机可以在一定程度的偏航或俯仰状态下持续运行,当在额定风速和转子RPM下运行时,可能导致大部分叶片的降低频率大于0.01。 Beddoes-Leishman模型是一个综合的但复杂的模型,用于预测机翼的不稳定空气动力学,包含8个无量纲的时间常数。在本研究中,将Beddoes-Leishman模型与10种不同机翼轮廓的实验结果进行了比较,每种轮廓都是在一定范围的雷诺数,运动频率,均值和迎角幅度下进行的。对模型中的所有时间常数进行了优化,其结果被用于建立具有较少方程式的简化模型,而准确性没有任何下降。此外,针对每个翼型的实验结果进行了优化,并将优化的常数与翼型的形状参数进行比较,得出可能的相关性,然后将其应用于简化的Beddoes-Leishman模型中,以提高精度,以5实验升力系数和预测升力系数之间的累积误差减少%。

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