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Optimal Modeling of off-grid Renewable Energy Systems for Rural Electrification in Bangladesh

机译:孟加拉国农村电气化离网可再生能源系统的最佳建模

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The paper presents optimal modeling of three models using various renewable energy sources for electrifying rural houses in Bangladesh, Where nearly 72% of the population live in rural areas. The rural people are experiencing an acute shortage of electric power that is likely to be worsening day by day. Therefore, renewable energy is considered to be the promising choice for providing clean energy to these remote settlements. In this paper, a village named Goalpara is chosen which is located in Sirazganj district, Bangladesh. The available resources like solar and biomass have been identified. The optimization has been performed by using the Hybrid Optimization Model for Electric Renewable (HOMER) software. A comparative study has been achieved based on net present cost (NPC) and the cost of energy (COE) among three models which includes solar PV, biomass and hybrid system.
机译:本文介绍了使用各种可再生能源对孟加拉国通电农村房屋的三种模型的最佳建模,近72%的人口居住在农村地区。农村人民正在经历一天可能会恶化的电力急剧短缺。因此,可再生能源被认为是向这些远程定居点提供清洁能源的有希望的选择。在本文中,选择了一个名为LogPara的村庄,位于孟加拉国斯里塔格省区。已经确定了太阳能和生物质等可用资源。通过使用电动可再生(HOMER)软件的混合优化模型来执行优化。基于净目前的成本(NPC)和三种模型中的能量(COE)成本实现了比较研究,包括太阳能光伏,生物质和混合系统。

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