河流州三个选定社区并网混合可再生能源系统的优化选择和设计

IF 2.7 Q2 MULTIDISCIPLINARY SCIENCES Scientific African Pub Date : 2024-07-05 DOI:10.1016/j.sciaf.2024.e02305
Chidozie Ezekwem , Suresh Muthusamy , Peace Chiamaka Ezekwem
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引用次数: 0

摘要

实现农村地区电气化是尼日利亚几十年来的追求,也是尼日利亚长期以来努力实现能源多样化、减少对传统化石燃料依赖的标志。因此,本研究旨在评估电气化状况,并使用 HOMER Pro 软件对混合系统进行技术经济分析,以确保河流州三个具有代表性的农村社区的电力可靠性、减少电费支出并降低电网需求。随后,使用 CRITIC-PROMETHEE II 方法对包含电网、光伏模块、风能和电池不同组合的五种混合系统方案进行了研究。利用从注入变电站获得的数据,根据每个社区每小时的电力需求对其进行了评估。2022 年,阿卢、乔巴和鲁穆埃基尼社区平均每天分别从国家电网获得 4.6、5.4 和 6.2 小时的电力供应,阿卢社区的用电量为 5436.4 兆瓦,乔巴社区为 3375.4 兆瓦,鲁穆埃基尼社区为 1626.1 兆瓦。研究结果表明,电网/光伏模块是三个社区的最佳选择。此外,拟议系统的能源成本(COE)从 0.0181 美元/千瓦时到 0.0185 美元/千瓦时不等,明显低于各社区电网的 COE(0.08625 美元/千瓦时)。这项研究还包括对最佳系统的敏感性分析,研究了光伏成本、贴现率、通货膨胀率、年比例太阳能辐照度和电力需求的变化。研究结果为支持决策、优化系统设计以及根据项目目标和利益相关者的优先事项调整可再生能源解决方案提供了一个全面的框架。
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Optimal selection and design of grid-connected hybrid renewable energy system in three selected communities of Rivers State

The pursuit of electrifying rural areas has been a multi-decade quest, emblematic of Nigeria's longstanding efforts to diversify its energy sources and reduce dependence on traditional fossil fuels. Accordingly, this study aims to evaluate the electrification status and perform a techno-economic analysis of a hybrid system to ensure electricity reliability, bill reduction and reduced grid demand for three representative rural communities in Rivers State using HOMER Pro Software. Subsequently, five hybrid system scenarios that encompassed different combinations of the grid, PV modules, wind and battery, were examined using the CRITIC-PROMETHEE II methodologies. Each community was assessed based on its own hourly electricity demand, using data obtained from the injection substation. The Aluu, Choba and Rumuekini communities experienced an average daily electricity supply of 4.6, 5.4 and 6.2 h respectively from the national grid with energy usage of 5436.4 MW for Aluu, 3375.4 MW for Choba and 1626.1 MW for Rumuekini, in 2022. The findings indicate that the grid/PV module was the optimal choice for the three communities. Moreover, the cost of energy (COE) for the proposed systems ranged from 0.0181 $/kWh to 0.0185 $/kWh, significantly lower than the grid's COE of 0.08625 $/kWh in the respective communities. This research further includes a sensitivity analysis of the optimal system, examining variations in PV cost, discount rate, inflation rate, annual scaled solar irradiance and electrical demand. The results provide a comprehensive framework to support decision-making, optimize system design and align renewable energy solutions with project goals and stakeholder priorities.

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来源期刊
Scientific African
Scientific African Multidisciplinary-Multidisciplinary
CiteScore
5.60
自引率
3.40%
发文量
332
审稿时长
10 weeks
期刊最新文献
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