Assessment of solar photovoltaic potential of selected site locations in cities across sub-Saharan Africa

Williams S. Ebhota, Pavel Y. Tabakov
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Abstract

Abstract Despite the successes recorded over the years, photovoltaic (PV) cells’ power conversion efficiency (PCE) of commercially available crystalline silicon (c-Si) PV panels still hovers between 10 and 21%. For optimal performance at 17–21% PCE, certain factors need to be understood and addressed. This study estimates the solar PV potential of selected cities across Africa, using computational modelling. The selected sites’ cities are Abuja, Addis Ababa, Kinshasa, Pretoria, and Tripoli. Sites’ coordinate systems will be exploited to generate data from meteorological databases of the selected locations needed for the PV potential assessment. This information coupled with PV system configuration will be used as inputs for PV design and simulation. The PV potential of the selected location will be extracted from the resulting simulation reports in terms of irradiance, possible power output generation, performance ratio (PR) and capacity factor (CF). The study results and analysis as extracted from the reports of the modelled hypothetical 10-kWhp c-Si rooftop PV systems at the selected sited locations, show that—Pretoria possesses the highest GTI (2234.4 kWh/m 2 ) and the lowest GTI (1766.7 kWh/m 2 ) was observed in Kinshasa; Pretoria has the highest PV power output (PVOUT) (17.292 MWh/), and the least (13.678 MWh) in Kinshasa; the highest PR (77.4%) was observed in Kinshasa and Pretoria and the lowest PR (76.4%) in Tripoli; Pretoria and Kinshasa recorded the highest CF (19.7%) and lowest CF (15.6%), respectively. The results indicate that the examined locations are technically viable for the PV system schemes, and therefore, massive deployment of this technology in these areas is advised.
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评估撒哈拉以南非洲城市选定地点的太阳能光伏潜力
尽管多年来取得了成功,但商用晶体硅(c-Si)光伏电池板的光伏电池的功率转换效率(PCE)仍然徘徊在10%到21%之间。为了使PCE达到17-21%的最佳性能,需要了解和解决某些因素。本研究利用计算模型估计了非洲选定城市的太阳能光伏潜力。被选中的城市是阿布贾、亚的斯亚贝巴、金沙萨、比勒陀利亚和的黎波里。将利用场址的坐标系统从选定地点的气象数据库中生成光伏潜力评估所需的数据。这些信息加上光伏系统配置将被用作光伏设计和仿真的输入。所选地点的光伏潜力将从由此产生的模拟报告中提取,包括辐照度、可能的输出功率、性能比(PR)和容量因子(CF)。研究结果和分析摘自选定地点的模拟假设10千瓦时c-Si屋顶光伏系统的报告,表明-比勒陀利亚的GTI最高(2234.4千瓦时/立方米2),金沙萨的GTI最低(1766.7千瓦时/立方米2);比勒陀利亚的光伏发电输出(PVOUT)最高(17.292 MWh/),金沙萨最低(13.678 MWh/);金沙萨和比勒陀利亚的患病率最高(77.4%),的黎波里的患病率最低(76.4%);比勒陀利亚和金沙萨的CF最高(19.7%),最低(15.6%)。结果表明,所检查的地点在技术上是可行的光伏系统方案,因此,建议在这些地区大规模部署这项技术。
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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