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Experimental and numerical modeling of wind flow over complex topography.

机译:复杂地形上风流的实验和数值模拟。

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摘要

Wind mapping is of utmost importance in various wind engineering, wind environment, and wind energy applications. The available wind atlases usually provide wind data with low resolutions relative to the wind turbine height and size and usually neglect the effect of topographic features with relatively large or sudden changes in elevation.;The PIV measurements compare well with hot-wire based mean velocity profiles for the three cases. Moreover, the turbulence intensity profiles match well for flow regions without recirculation. The ridge wake region shows discrepancies between the two techniques which are attributed to the complexity of the flow in this region and limitations of both techniques.;A procedure incorporating Geographic Information System (GIS) and surface modeling techniques is introduced to build the CFD model of a complex terrain starting from the existing topography maps with desired resolutions. Moreover, a new approach is made to simulate the terrain roughness up to ultimate roughness heights, by implementing arrays of bell-shaped roughness elements in the CFD model. The velocity profiles and velocity vectors were compared with the PIV measurements and were found to be in good agreement near the ground and up to the full scale height of 300m.;The study shows that PIV measurements and CFD simulations can be successfully used in qualifying and quantifying the flow over complex topography consisting of a wide range of roughness heights, enabling to map the flow structure with very high spatial resolution.;Developing a cost effective methodology to predict the wind patterns and to obtain wind maps over any topographic terrain is absolutely needed for wind turbine/farm siting. As the previous analytic and empirical attempts to resolve the flow over topographic features were limited to basic geometries that hardly exist in nature, applying Particle Image Velocimetry (PIV) measurement techniques in wind tunnel and Computational Fluid Dynamics (CFD) techniques in numerical simulation of the flow over topography seems to be the best alternative solution to the problem. PIV measurements and CFD simulations are carried out on a 1:3000 scale model of complex topographic area. Three distinct topographic features are investigated: a valley, a ridge and a hill.;KEYWORDS: Wind mapping, Complex topography, Computational fluid dynamics (CFD), Particle image velocimetry (PIV).
机译:风图在各种风能工程,风环境和风能应用中至关重要。可用的风图通常提供相对于风力涡轮机高度和尺寸而言分辨率较低的风数据,并且通常会忽略具有相对较大或突然变化的海拔高度的地形特征的影响。; PIV测量与基于热线的平均速度曲线相比具有很好的对比性对于这三种情况。此外,湍流强度曲线与流动区域匹配得很好,无需再循环。脊后流域显示出这两种技术之间的差异,这归因于该区域内流动的复杂性和这两种技术的局限性。引入了结合了地理信息系统(GIS)和表面建模技术的程序来建立CFD模型从现有地形图以所需的分辨率开始的复杂地形。此外,通过在CFD模型中实现钟形粗糙度元素的数组,提出了一种新方法来模拟地形粗糙度,直至达到最终粗糙度高度。将速度分布图和速度矢量与PIV测量结果进行比较,发现在地面附近以及最大标高300m处都具有良好的一致性;研究表明,PIV测量结果和CFD模拟可以成功用于定性和定量量化由宽范围的粗糙度高度组成的复杂地形上的流,从而能够以非常高的空间分辨率绘制流结构。绝对需要开发一种经济高效的方法来预测风型并获得任何地形上的风图用于风力涡轮机/农场选址。由于先前的解析和经验尝试试图解决地形特征上的流动仅限于自然界中几乎不存在的基本几何形状,因此在风洞的数值模拟中应用了粒子图像测速(PIV)测量技术并将计算流体动力学(CFD)技术应用到了数值模拟中。流过地形似乎是解决该问题的最佳替代方案。 PIV测量和CFD模拟在复杂地形区域的1:3000比例模型上进行。研究了三个不同的地形特征:山谷,山脊和丘陵。关键词:风图,复杂地形,计算流体力学(CFD),粒子图像测速(PIV)。

著录项

  • 作者

    Rasouli, Ashkan.;

  • 作者单位

    The University of Western Ontario (Canada).;

  • 授予单位 The University of Western Ontario (Canada).;
  • 学科 Engineering Civil.;Energy.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 126 p.
  • 总页数 126
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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