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Evaluation of wind energy potential and trends in Morocco

机译:摩洛哥风能潜力和趋势评估

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摘要

In recent years, the use of wind energy has become increasingly attractive for the successful and economic development. Wind energy is one of the fastest-growing renewable energy technologies of electricity generation. Wind energy has proved its potential in combating environmental degradation while ensuring a renewable, efficient and clean energy source. Good wind sites can even be competitive with traditional energy sources. In this paper, we used statistical methods namely Weibull probability density function for evaluating the wind energy potential as a power source in Morocco's regions, in particular Taza and Dakhla cities. Various methods were explored as wind variability, power density, standard deviation, Moroccan and WAsP methods for calculating the Weibull parameters using mean wind speed data measured at one-hour intervals. The wind data have been extracted at the height of 50 m and over a three-year period 2015–2017. Furthermore, the variations of monthly and annual wind speed are studied and the power and energy densities are evaluated. The monthly values of the Weibull shape parameter are on average 5.01 m/s at Taza and 9.04 m/s at Dakhla. The results obtained showed that the highest values of wind potential occur during March, July, September and December in Dakhla and during the December to March in Taza.
机译:近年来,对于成功的经济发展,风能的使用变得越来越有吸引力。风能是发展最快的可再生能源发电技术之一。在确保可再生,高效和清洁能源的同时,风能已证明在克服环境恶化方面具有潜力。良好的风场甚至可以与传统能源竞争。在本文中,我们使用统计方法即Weibull概率密度函数来评估摩洛哥地区(尤其是塔扎和达赫拉等城市)作为能源的风能潜力。探索了各种方法,例如风变率,功率密度,标准偏差,摩洛哥和WAsP方法,这些方法使用一小时间隔测量的平均风速数据来计算威布尔参数。在2015-2017的三年期间,在50 m的高度提取了风数据。此外,研究了每月和每年的风速变化,并评估了功率和能量密度。威布尔形状参数的月度值在塔扎平均为5.01 m / s,在达克拉平均为9.0​​4 m / s。获得的结果表明,风势的最大值出现在达克拉的3月,7月,9月和12月以及塔扎的12月至3月。

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