Modelling and simulation of wind flow: A gradient method of identifying windy region

IF 1.5 Q4 ENERGY & FUELS
SN Nnamchi, Z. Jagun, OA Nnamchi, MM Mundu, U. Onochie
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引用次数: 0

Abstract

This paper presents biharmonic modelling and simulations of surface wind flow, which identify windy locales through wind speed gradients. The bulk measured and meteosat wind speed data encapsulate the wind isotachs and wind flow gradients, which are very useful in identifying windy locales. Thus, this paper presents a biharmonic wind flow model, BWFM for the development of wind isotachs and gradients to identify locales suitable for installing solar photovoltaic power plants within the study areas. The techniques include the acquisition of wind speed data (1980–2020) from the National Aeronautic and Space Administration (NASA), development of multiple BWFM solutions (free and forced) depending on the presence and absence of forcing function, respectively. The forcing function represents the topographic and orographic features of the study areas. The spatial development of isopleth of the study areas, unveiled the isotachs. The wind speed gradients were obtained by scalar computation of 2-D wind speed gradients. Comparison of forced solution with the threshold or maximum free solution engendered the identification of windy locales. The results of the model were validated against NASA data. The average wind speed threshold isotach (2.83 m/s) and wind gradient ( 0 . 01658 10 − 3 / s ) for the study areas (All Regions) were established by scalar computation of free solution gradients. The study areas include Northern, Eastern, Central and Western Regions recorded the following maximum forced average wind speeds (2.725, 2.755, 2.875 and 1.794 m/s, respectively) and maximum wind flow gradients (insignificant, 0.03767, 0.08469 and infinitesimal 10 − 3 / s , respectively). These results are useful for identifying windy locales for installation of solar and wind facilities.
风的建模与模拟:一种识别风区的梯度方法
本文提出了利用风速梯度识别有风区域的地表风流的双谐模型和模拟方法。大量实测和气象卫星的风速数据包含了风等线和风流梯度,这对确定多风地区非常有用。因此,本文提出了双谐波风流模型BWFM,用于开发风等线和梯度,以确定研究区域内适合安装太阳能光伏电站的地点。这些技术包括从美国国家航空航天局(NASA)获取风速数据(1980-2020年),开发多种BWFM解决方案(自由和强制),分别取决于是否存在强迫功能。强迫函数反映了研究区地形地貌特征。研究区等等值线的空间发展,揭示了等等值线。风速梯度通过二维风速梯度的标量计算得到。强迫解与阈值或最大自由解的比较产生了多风区域的识别。该模型的结果与NASA的数据进行了验证。平均风速阈值等线(2.83 m/s)和风梯度(0。通过自由解梯度的标量计算建立了研究区域(所有区域)的01658 10−3 / s。研究区包括北部、东部、中部和西部,最大强迫平均风速分别为2.725、2.755、2.875和1.794 m/s,最大风梯度分别为0.03767、0.08469和极小的10−3 /s。这些结果对于确定安装太阳能和风能设施的多风地区是有用的。
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
Wind Engineering
Wind Engineering ENERGY & FUELS-
CiteScore
4.00
自引率
13.30%
发文量
81
期刊介绍: Having been in continuous publication since 1977, Wind Engineering is the oldest and most authoritative English language journal devoted entirely to the technology of wind energy. Under the direction of a distinguished editor and editorial board, Wind Engineering appears bimonthly with fully refereed contributions from active figures in the field, book notices, and summaries of the more interesting papers from other sources. Papers are published in Wind Engineering on: the aerodynamics of rotors and blades; machine subsystems and components; design; test programmes; power generation and transmission; measuring and recording techniques; installations and applications; and economic, environmental and legal aspects.
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