基于现场数据验证用于工业风力涡轮机高保真大涡流模拟的空气伺服弹性求解器

Etienne Muller, Simone Gremmo, F. Houtin-Mongrolle, B. Duboc, Pierre Bénard
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引用次数: 0

摘要

摘要为了设计下一代风力涡轮机,风能行业的工程师们现在必须使用新的数值工具,对复杂的物理现象进行高保真模拟,从而进一步校准低阶模型。例如,近海风力涡轮机的转子直径现在可超过 200 米,具有很高的柔韧性,流体与结构之间的相互作用不能再被忽视。因此,本文提出了一种新的气动伺服弹性求解器,旨在对风力涡轮机以及风力发电场中常见的转子-摇摆相互作用进行高保真大涡流模拟(LES)。在此框架中,风机叶片被模拟为柔性推杆线。在运行参数(转速和桨距角)和功率输出方面,首先根据三个不同运行点的 Westermost Rough 海上风电场的现场数据对求解器进行了验证。数值结果与现场数据的一致性非常好。为了进一步推进验证工作,还将额外的结果与业界使用的经过认证的气动伺服弹性求解器给出的结果进行了比较,该求解器依赖于叶片元素动量(BEM)方法。对整个第一叶片的内部载荷和叶尖的挠度进行了详细研究,发现了一些差异。总体而言,这些差异幅度合理,与两个求解器的内在建模差异有关。
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Field-data-based validation of an aero-servo-elastic solver for high-fidelity large-eddy simulations of industrial wind turbines
Abstract. To design the next generations of wind turbines, engineers from the wind energy industry must now have access to new numerical tools, allowing the high-fidelity simulation of complex physical phenomena and thus a further calibration of lower-order models. For instance, the rotors of offshore wind turbines, whose diameters can now exceed 200 m, are highly flexible and fluid–structure interactions cannot be neglected any longer. Accordingly, this paper presents a new aero-servo-elastic solver designed to perform high-fidelity large-eddy simulation (LES) of wind turbines, as well as of rotor–wake interactions classically occurring in wind farms. In this framework, the turbine blades are modeled as flexible actuator lines. In terms of operating parameters (rotation speed and pitch angles) and power output, the solver is first validated against field data from the Westermost Rough offshore wind farm, for three different operation points. A very good agreement between the numerical results and field data is obtained. To push the validation further, additional results are compared to those given by a certified aero-servo-elastic solver used in the industry, which relies on a blade element momentum (BEM) method. The internal loads throughout the first blade and the deflections at the tip are studied in detail, and some discrepancies are observed. Of a reasonable amplitude overall, those are legitimately related to intrinsic modeling differences between the two solvers.
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