Okeniyi Joshua Olusegun, Ohunakin Olayinka Soledayo, Okeniyi Elizabeth Toyin
Department of Mechanical Engineering, Covenant University, Ota 112001, Nigeria.
Department of Petroleum Engineering, Covenant University, Ota 112001, Nigeria.
ScientificWorldJournal. 2015;2015:581679. doi: 10.1155/2015/581679. Epub 2015 Mar 24.
Electricity generation in rural communities is an acute problem militating against socioeconomic well-being of the populace in these communities in developing countries, including Nigeria. In this paper, assessments of wind-energy potential in selected sites from three major geopolitical zones of Nigeria were investigated. For this, daily wind-speed data from Katsina in northern, Warri in southwestern and Calabar in southeastern Nigeria were analysed using the Gumbel and the Weibull probability distributions for assessing wind-energy potential as a renewable/sustainable solution for the country's rural-electrification problems. Results showed that the wind-speed models identified Katsina with higher wind-speed class than both Warri and Calabar that were otherwise identified as low wind-speed sites. However, econometrics of electricity power simulation at different hub heights of low wind-speed turbine systems showed that the cost of electric-power generation in the three study sites was converging to affordable cost per kWh of electric energy from the wind resource at each site. These power simulations identified cost/kWh of electricity generation at Kaduna as €0.0507, at Warri as €0.0774, and at Calabar as €0.0819. These bare positive implications on renewable/sustainable rural electrification in the study sites even as requisite options for promoting utilization of this viable wind-resource energy in the remote communities in the environs of the study sites were suggested.
农村社区的电力供应是一个严重问题,阻碍着包括尼日利亚在内的发展中国家这些社区民众的社会经济福祉。本文对尼日利亚三个主要地缘政治区选定地点的风能潜力进行了评估。为此,利用耿贝尔分布和威布尔概率分布分析了尼日利亚北部卡齐纳、西南部瓦里和东南部卡拉巴尔的每日风速数据,以评估风能潜力,作为解决该国农村电气化问题的可再生/可持续方案。结果表明,风速模型显示卡齐纳的风速等级高于瓦里和卡拉巴尔,后两者被认定为低风速地点。然而,低风速涡轮机系统在不同轮毂高度的电力模拟计量经济学表明,三个研究地点的发电成本正在趋向于每个地点利用风能资源实现每千瓦时电能的可承受成本。这些电力模拟得出卡杜纳每千瓦时发电成本为0.0507欧元,瓦里为0.0774欧元,卡拉巴尔为0.0819欧元。这些结果对研究地点的可再生/可持续农村电气化有着积极影响,同时还提出了在研究地点周边偏远社区推广利用这种可行风能资源的必要选择。