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Optimal Sizing and Assessment of an Islanded Photovoltaic ‐Battery‐ Diesel Generator Microgrid Applicable to a Remote School of Bangladesh

机译:适用于孟加拉国远程学校的孤岛光伏 - 柴油发电机微电网的最佳施胶和评估

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摘要

Abstract Electricity has become a part and parcel of modern life. The world is constantly developing, and the electricity demand is inevitably increasing with it. It is a big challenge for the power generation organizations to cope up with this increasing demand. For a developing country like Bangladesh, this challenge is even bigger. Bangladesh has many remote areas which are deprived of grid connectivity. In this article, system design and performance evaluation are conducted on a solar battery‐based hybrid renewable energy system (HRES) with diesel backup for a school in a remote area located in the northern part of the country, where conventional power grid connectivity is not available. From field survey, a load demand of 10.468 kWh/day for a normal working day and a peak demand of 3.3 kW are considered in this work for the proposed site. For simulation purpose hybrid optimization model for electric renewable, very well‐known software is used. The solar radiation data required for the work are collected from NASA Surface meteorology and Solar Energy database. Analyzing the load requirements and metrological data a solar‐battery diesel generator‐based HRES is proposed for the school. From the analysis and simulation, the Net Present Cost (NPC) for the proposed system is found USD 6191 with a Cost of Energy (COE) of $0.125/kWh. Further, a comparative study is done and the proposed system can reduce the COE and Green House Gas (GHG) emission of about 29.85% and 69% respectively than the conventional power plants. Finally, a techno‐economic analysis is conducted with sensitivity analysis, time series analysis, and multiyear analysis to prove the rigidity of the proposed system.
机译:抽象电力已成为现代生活的一部分和地块。世界不断发展,电力需求不可避免地随之增加。发电组织应对这种不断增长的需求是一个很大的挑战。对于像孟加拉国这样的发展中国家,这一挑战甚至更大。孟加拉国有许多被剥夺网格连接的偏远地区。在本文中,系统设计和性能评估在基于太阳能电池的混合可再生能源系统(HRES)上,为位于该国北部的偏远地区的遥远区域的学校进行了柴油备份,其中传统的电网连接不是可用的。从田间调查中,在拟议网站的工作中考虑了正常工作日的10.468千瓦时/日的负载需求和3.3千瓦的峰值需求。对于电动可再生能力的仿真用途混合优化模型,使用了非常众所周知的软件。从NASA表面气象和太阳能数据库收集工作所需的太阳辐射数据。分析负载要求和计量数据,为学校提出了太阳能电池柴油发电机的HRE。从分析和仿真来看,所提出的系统的净目前成本(NPC)被发现为6191美元,其能源(COE)为0.125美元/千瓦时。此外,采取比较研究,提出的系统可以减少分别比传统发电厂的约29.85%和69%的CoE和绿房气体(GHG)排放。最后,通过敏感性分析,时间序列分析和多元分析进行了技术经济分析,以证明所提出的系统的刚性。

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