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首页> 外文期刊>Journal of Energy Resources Technology >Uncertainty Quantification of Aerodynamic Icing Losses in Wind Turbine With Polynomial Chaos Expansion
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Uncertainty Quantification of Aerodynamic Icing Losses in Wind Turbine With Polynomial Chaos Expansion

机译：多项式混沌扩展的风力涡轮机结冰损失不确定性量化

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摘要

Icing of wind turbine blades poses a challenge for the wind power industry in cold climate wind farms. It can lead to production losses of more than 10% of the annual energy production. Knowledge of how the production is affected by icing is of importance. Complicating this reality is the fact that even a small amount of uncertainty in the shape of the accreted ice may result in a large amount of uncertainty in the aerodynamic performance metrics. This paper presents a numerical approach using the technique of polynomial chaos expansion (PCE) to quantify icing uncertainty faster than traditional methods. Time-dependent bi-dimensional Reynolds-averaged Navier-Stokes computational fluid dynamics (RANS-CFD) simulations are considered to evaluate the aerodynamic characteristics at the chosen sample points. The boundary conditions are based on three-dimensional simulations of the rotor. This approach is applied to the NREL 5 MW reference wind turbine allowing to estimate the power loss range due to the leading-edge glaze ice, considering a radial section near the tip. The probability distribution function of the power loss is also assessed. The results of the section are nondimensionalized and assumed valid for the other radial sections. A correlation is found allowing to model the load loss with respect to the glaze ice horn height, as well as the corresponding probability distribution. Considering an equal chance for any of the ice profiles, load loss is estimated to be lower than 6.5% for the entire blade in half of the icing cases, while it could be roughly 4-6 times in the most severe icings.
机译：风力涡轮机叶片的结冰给寒冷气候风电场的风力发电行业带来了挑战。它可能导致生产损失超过年度能源产量的10％。了解如何通过结冰影响生产非常重要。使这一现实复杂化的事实是，即使积冰形状的不确定性很小，也可能导致空气动力学性能指标的不确定性很大。与传统方法相比，本文提出了一种使用多项式混沌扩展（PCE）技术量化结冰不确定性的数值方法。考虑时间相关的二维雷诺平均Navier-Stokes计算流体动力学（RANS-CFD）仿真，以评估所选采样点的空气动力学特性。边界条件基于转子的三维模拟。该方法适用于NREL 5 MW参考风力涡轮机，考虑到尖端附近的径向截面，可以估算由于前缘釉冰造成的功率损失范围。还评估了功率损耗的概率分布函数。截面的结果是无量纲的，并假定对其他径向截面有效。发现相关性，可以对关于釉冰角高度的载荷损失以及相应的概率分布进行建模。考虑到任何冰面的机会均等，在一半的结冰情况下，整个刀片的负载损失估计低于6.5％，而在最严重的结冰情况下，损失约为4-6倍。

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  • 来源
    《Journal of Energy Resources Technology》 |2019年第5期|051210.1-051210.11|共11页
  • 作者

    Tabatabaei Narges; Raisee Mehrdad; Cervantes Michel J.;

  • 作者单位

    Lulea Univ Technol, Dept Engn Sci & Math, S-97187 Lulea, Norrbotten, Sweden;

    Univ Tehran, Coll Engn, Sch Mech Engn, Hydraul Machinery Res Inst, Tehran 111554563, Iran;

    Lulea Univ Technol, Dept Engn Sci & Math, S-97187 Lulea, Norrbotten, Sweden;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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