孟加拉国沿海地区基于可再生能源的混合电力系统可行性分析

Prosenjit Barua, Bikram Ghosh
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引用次数: 0

摘要

不间断的电力供应是一个国家发展背后最重要的问题。在孟加拉国,最大的电力生产来自使用化石燃料。由于地理条件,它有充足的可再生能源来发电,而不是使用化石燃料。本研究旨在评估孟加拉国海滨地区并网可再生能源电力系统的最佳可行性。采用多能源混合优化(HOMER)软件进行设计和仿真,通过对各优化模型的比较,得到经济、能源平衡和环境友好的最佳方案。对各种形式的离网和并网混合电网模型,分别在最低能源成本(COE)、净现值成本(NPC)、投资回复期短、可再生能源比例最大和内部收益率(IRR)的意义上进行了HOMER仿真。我们的最优方案是光伏-生物电网系统,COE为0.0451美元/千瓦时(3.83 BDT/千瓦时),IRR为10.3%,温室气体(GHG)排放率最低。这个系统产生的多余电力可以卖回给电网。这种类型的混合可再生能源系统保证了获得连续不间断的电力服务,减少了温室气体排放,缓解了国家电网的电力短缺。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feasibility Analysis of Renewable Energy Based Hybrid Power System in a Coastal Area, Bangladesh
An uninterrupted power supply is the most significant issue behind a country's development. Maximum production of electricity comes from using fossil fuel in Bangladesh. It has adequate renewable energy resources due to geographical conditions to produce electricity instead of using fossil fuel. This study is performed to evaluate the optimum feasibility of a grid-connected renewable-based power system in a seashore region of Bangladesh. The design and simulation are operated by the Hybrid Optimization of Multiple Energy Resources (HOMER) software to get the best economical, energy balancing and environment-friendly solution by comparing each of the optimum models. HOMER simulation has been conducted in the sense of lowest cost of energy (COE), net present cost (NPC), short payback period, largest renewable fraction and internal rate of return (IRR) for various forms of off-grid and on-grid hybrid grid models. Our optimal solution is carried out by the PV -Bio-Grid system with $0.0451/kWh (3.83 BDT/kWh) COE, 10.3% IRR and lowest greenhouse gas (GHG) emission rate. The excess electricity produced from this system can be sold back to the grid. This type of Hybrid Renewable system ensures to get continuous uninterrupted electricity service, reduce GHG gases and abate power dearth of the national grid.
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