西努沙登加拉岛塞博托克当地可再生能源潜力利用研究

M. A. Rahmanta, F. Aditama, P. Wibowo
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引用次数: 1

摘要

为了减少化石能源的使用和利用可再生能源的潜力,可以在偏远地区使用混合动力系统(HPS)发电系统。HPS以可再生能源为主要能源,柴油发电机作为备用能源。所使用的可再生能源可以来自太阳能、风能和其他能源。Sebotok村位于西努沙登加拉省松巴瓦县Labuhan Badas街道,是一个使用4台柴油发电机组作为发电来源的孤立地区。本研究的目的是确定潜在的可再生能源(风能和太阳能),并对该地区HPS的经济可行性进行设计和分析。采用可再生电力混合优化模型(HOMER Energy)仿真,对该混合电厂进行了设计与可行性分析。该系统是风力/光伏/柴油,电池,DC/DC变换器和DC/AC逆变器的组合。仿真结果显示了采用负载跟随调度策略的160 kW光伏、160 kW光伏逆变器、100 kW柴油发电机、24台蓄电池和10 kW变流器的配置。该配置具有最低的能源成本(COE)值为0.139 ${\$}/\ mathm {kWh}$,最低的总净当前成本(NPC)为${\$}106 $ Million。同时,灵敏度模拟表明,COE值分别受柴油价格、光伏发电成本和太阳辐射的影响最大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study of the Utilization of Local Renewable Energy Potential in Sebotok, West Nusa Tenggara
To reduce the use of fossil energy sources and the utilization of renewable energy potential, a hybrid power system (HPS) generation system can be used in isolated areas. HPS utilizes renewable energy as the main source combined with a diesel engine generator as a backup energy source. The renewable energy used can come from solar energy, wind energy, and others. Sebotok Village, located in Labuhan Badas sub-district, Sumbawa regency, West Nusa Tenggara province, is an isolated area that uses 4 diesel generator units as a source of electricity generation. The purpose of this research is to identify potential renewable energy resources (wind and solar) and to develop a design and analysis of the economic feasibility of HPS in the region. The design & feasibility analysis of the Hybrid Power Plant was carried out using the Hybrid Optimization Model of Electric Renewables (HOMER Energy) simulation. This system is a combination of Wind/PV//Diesel, battery, DC/DC converter, and DC/AC inverter. The simulation results show the configuration of 160 kW PV, 160 kW PV Inverter, 100 kW diesel generator, 24 battery units, and 10 kW Converter with a dispatch strategy of load following. The configuration has the lowest Cost of Energy (COE) value of 0.139 ${\$}/\mathrm{kWh}$ and the lowest Total Net Present Cost (NPC) of ${\$} 1.06$ Million. Meanwhile, the sensitivity simulation shows that the COE value is most influenced by the price of diesel fuel, the cost of PV, and solar radiation, respectively.
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