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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的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为孟加拉国农村房屋通电的三种模型的最佳模型,孟加拉国有近72%的人口居住在农村地区。农村人民正面临着严重的电力短缺,这种情况可能会日益恶化。因此,可再生能源被认为是为这些偏远地区提供清洁能源的有前途的选择。在本文中,选择了一个名为Goalpara的村庄,该村庄位于孟加拉国的Sirazganj区。已经确定了可用资源,例如太阳能和生物质能。通过使用电力可再生混合优化模型(HOMER)软件进行了优化。基于净现值(NPC)和能源成本(COE)在包括太阳能光伏,生物质和混合系统的三种模型之间进行了比较研究。

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