Research on data assimilation approach of wind turbine airfoils in stall conditions

IF 9.1 1区 工程技术 Q1 ENERGY & FUELS Renewable Energy Pub Date : 2025-02-01 Epub Date: 2024-12-04 DOI:10.1016/j.renene.2024.122071
Junwei Yang , Lingting Meng , Xiangjun Wang , Hua Yang
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Abstract

This study aims to analyze the applicability of the turbulence model constants obtained through data assimilation on various airfoils in stall conditions, thereby offering the potential for computational resource savings. Through the wind tunnel experiments and published test data at Reynolds numbers ranging from the order of 105 to 106, the ensemble Kalman filter method was proposed to optimize the constants of the SA (Spalart-Allmaras) model, and its efficacy was validated. The assimilated constants obtained from YA-21 and S809 airfoils were applied separately to other airfoils with similar separation degrees for comparative analysis of their assimilation effects. Based on this, the influence of each model constant on numerical simulation was explored, and the pressure distributions were compared before and after assimilation as well as on other airfoils. Additionally, the impact of variations in airfoil thickness and Reynolds number on assimilated results was investigated. The results suggest that the constants that impact assimilation outcomes appreciably under stall conditions pertain to production and diffusion terms. When the Reynolds numbers are on the order of 105, assimilated constants derived from the 21 % thickness airfoil exhibited optimization effects on the NACA4415 and S809 airfoil, providing a more accurate depiction of separated flow over an airfoil than the original constants conditions. The optimization effect persisted when the Reynolds number reached the order of 106. As the primary factor in the production term, Cb1 became sensitive to changes in Reynolds number exceeding other constants. However, the applicability of thick airfoils is slightly degenerated. Thicker airfoils are more susceptible to changes in the constants of the production and diffusion terms, which makes the assimilated constants need to be applied with caution. These findings demonstrate the feasibility of the mentioned approach, suggesting that assimilated constants from a medium-thickness airfoil can be partially used to replace the self-assimilated constants of other airfoils.
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失速工况下风力机翼型数据同化方法研究
本研究旨在分析通过数据同化获得的湍流模型常数在失速条件下对不同翼型的适用性,从而提供节省计算资源的潜力。通过风洞实验和已发表的雷诺数为105 ~ 106阶的试验数据,提出了集合卡尔曼滤波方法对SA (Spalart-Allmaras)模型的常数进行优化,并验证了其有效性。从YA-21和S809翼型中获得的同化常数分别应用于具有相似分离度的其他翼型,以比较分析它们的同化效果。在此基础上,探讨了各模型常数对数值模拟的影响,并比较了同化前后以及在其他翼型上的压力分布。此外,研究了翼型厚度和雷诺数变化对同化结果的影响。结果表明,在失速条件下显著影响同化结果的常数与生产和扩散项有关。当雷诺数为105数量级时,从21%厚度翼型导出的同化常数在NACA4415和S809翼型上表现出优化效果,比原始常数条件更准确地描述了翼型上的分离流动。当雷诺数达到106数量级时,优化效果仍然存在。Cb1作为生产项的主要因子,对雷诺数的变化比其他常数更敏感。然而,厚翼型的适用性略有退化。较厚的翼型更容易受到生产和扩散常数的变化,这使得同化常数需要谨慎应用。这些发现证明了上述方法的可行性,表明从中厚翼型同化常数可以部分地用来取代其他翼型的自同化常数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Renewable Energy
Renewable Energy 工程技术-能源与燃料
CiteScore
18.40
自引率
9.20%
发文量
1955
审稿时长
6.6 months
期刊介绍: Renewable Energy journal is dedicated to advancing knowledge and disseminating insights on various topics and technologies within renewable energy systems and components. Our mission is to support researchers, engineers, economists, manufacturers, NGOs, associations, and societies in staying updated on new developments in their respective fields and applying alternative energy solutions to current practices. As an international, multidisciplinary journal in renewable energy engineering and research, we strive to be a premier peer-reviewed platform and a trusted source of original research and reviews in the field of renewable energy. Join us in our endeavor to drive innovation and progress in sustainable energy solutions.
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