On Wind Speed and its Distribution Pattern: A Case Study of Some Selected Cities in Delta State, Nigeria

I. U. Siloko, E. Enoyoze
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Abstract

Wind is a significant weather variable and its study has gained convincing attention recently due to its increasing importance as a source of renewable energy as well as its role in various natural phenomena like erosion, precipitation, and spread of wildfires. This paper investigates wind speed distribution in Delta State, Nigeria using a nonparametric statistical technique for ten consecutive years spanning from 2011 to 2020 across three stations. The nonparametric statistical approach is the kernel density estimation with focus on Gaussian kernel estimator. The results of the investigated period revealed that wind speed in Asaba that is located in Delta North is higher in comparison with the wind speed in Patani which is situated in Southern region of the State while the wind speed is low at Sapele in Delta Central. Therefore, installation of wind power generation system is more profiting in the Northern part because the amount of wind energy generated is determine by the wind speed. Again, the performance of agricultural or industrial activities that depend on wind speed for their proper execution is optimum in 2018 while the least performances were recorded in 2015 and 2016 respectively for the period explored. doi
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风速及其分布格局——以尼日利亚三角洲州部分城市为例
风是一个重要的天气变量,由于其作为可再生能源的重要性日益增加,以及在侵蚀、降水和野火蔓延等各种自然现象中的作用,风的研究最近得到了令人信服的关注。本文利用非参数统计技术对尼日利亚三角洲州3个站点2011 - 2020年连续10年的风速分布进行了研究。非参数统计方法是核密度估计,重点是高斯核估计。调查期间的结果显示,位于三角洲北部的Asaba的风速高于位于该州南部地区的Patani的风速,而位于三角洲中部的Sapele的风速较低。因此,在北方地区安装风力发电系统更有利可图,因为风力发电量是由风速决定的。同样,依赖风速的农业或工业活动在2018年的表现最佳,而在研究期间,2015年和2016年的表现最差。doi
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