Autonomous Electricity Supply with Hybrid Renewable Configuration in Ghana

R. Bhandari, J. Gerstner, Hicham Belhassan, Dominik Gtz, Hanno Hausmann
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引用次数: 2

Abstract

Majority of the rural population in developing countries depends on traditional fuels. An estimated 20% world’s population does not have access to electricity. Most of those people live in areas often difficult to connect to electrical grids. Renewable energy technologies might be lower cost options in such areas, where both population and electricity demand are low. The main objective of this study was to develop a reliable and cost competitive autonomous energy supply system with renewable energy resources. As a reference site, a University campus in northern Ghana was chosen. A tool for load profile assessment is developed. Resulting load profiles under different scenario are presented. Available renewable energy resources is estimated. Based on these results, a hybrid system has been sized and is later validated in HOMER Pro®. Results show an autonomous hybrid system configuration with 185 kWp PV, 73 kWh battery and three biodiesel (Jatropha based) generators (165 kVA, 110 kVA and 34 kVA) as optimum to supply the electricity need. Levelized cost of electricity (LCOE) was calculated as 28 €ct/kWh, 2 % lower than the grid electricity price. Sensitivity analysis showed the imputed interest rate, fuel price and investment costs have the most impact on LCOE.
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加纳混合可再生能源配置的自主电力供应
发展中国家的大多数农村人口依赖传统燃料。据估计,世界上有20%的人口用不上电。这些人大多生活在难以接入电网的地区。在这些人口和电力需求都较低的地区,可再生能源技术可能是成本较低的选择。本研究的主要目标是开发一个可靠且具有成本竞争力的可再生能源自主能源供应系统。作为参考地点,选择了加纳北部的一所大学校园。开发了一种负荷剖面评估工具。给出了不同情况下的负载曲线。估计可用的可再生能源资源。基于这些结果,混合系统已被确定尺寸,并随后在HOMER Pro®中进行验证。结果表明,采用185 kWp光伏、73 kWh电池和3台生物柴油(麻疯树为基础)发电机(165 kVA、110 kVA和34 kVA)的自动混合动力系统配置最适合满足电力需求。平准化电力成本(LCOE)为28€ct/kWh,比电网电价低2%。敏感性分析表明,估算利率、燃料价格和投资成本对LCOE的影响最大。
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