Characterizing Impacts of Atmospheric Turbulence on Wind Farms Through Large Eddy Simulation (LES)

J. Alam, A. Afanassiev, Jagdeep Singh
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引用次数: 2

Abstract

Wind farms extract energy from the lowest part of the atmospheric boundary layer (ABL). Thus, characterizing the impacts of atmospheric turbulence — precisely, which aspect of it enhances or hinders the capacity factor of wind farms — is currently the least understood and the most demanding topic of wind energy research. This article demonstrates a Large Eddy Simulation (LES) of atmospheric turbulence around an array of 41 full-scale wind turbines with a rotor diameter of 126 m. A wall-adaptive subgrid-scale (SGS) model for atmospheric turbulence around wind farms has been examined. For a moist-free atmosphere in the afternoon, the spectra of kinetic energy are compared with Kolmogorov’s energy spectrum. The power production is discussed with respect to staggered arrangements of turbines. Results show that the LES model has the potential to account for atmospheric turbulence for optimizing tower placements in wind farms.
通过大涡模拟(LES)表征大气湍流对风电场的影响
风力发电场从大气边界层(ABL)的最低部分提取能量。因此,表征大气湍流的影响-准确地说,它的哪个方面增强或阻碍风电场的容量因子-是目前风能研究中最不了解和最需要的主题。本文演示了41个全尺寸转子直径为126米的风力涡轮机阵列周围大气湍流的大涡模拟(LES)。研究了风电场周围大气湍流的壁面自适应亚网格尺度(SGS)模型。对于下午无湿大气,将其动能谱与Kolmogorov能谱进行了比较。讨论了涡轮机交错布置时的发电问题。结果表明,LES模型具有考虑大气湍流以优化风电场塔架位置的潜力。
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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