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Integrated renewable energy systems for off grid rural electrification of remote area

机译:集成可再生能源系统,用于偏远地区的离网农村电气化

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The off grid electrification by utilizing Integrated Renewable Energy System (IRES) is proposed to satisfy the electrical and cooking needs of the seven-uneletrified villages in the Almora district of Uttarakhand state, India. Four different scenarios are considered during modeling and optimization of IRES to ensure reliability parameters such as energy index ratio (EIR) and expected energy not supplied (EENS). The optimum system reliability, total system cost and cost of energy (COE) have also been worked out by introducing the customer interruption cost (CIC). The four different renewable energy scenarios have been compared for the considered study area using the LINGO software version 10. The fourth renewable energy scenario accounting 44.99% micro hydropower (MHP), 30.07% biomass, 5.19% biogas and 4.16% solar energy along with the additional resources of wind (1.27%) and energy plantation (12.33%) has been found to be the best among the different options considered. Furthermore, the optimal reliability for the fourth IRES system has been found to be 0.95 EIR at the optimized cost of Rs 19.44 lacs with estimated COE of Rs 3.36 per kWh. The COE obtained using LINGO software and HOMER software has also been compared and briefly discussed for all the four scenarios. In order to verify feasibility and cost of system for different biomass fuel prices, a sensitivity analysis has also been carried out and it has been found that the fourth scenario is more sustainable than the other considered options.
机译:提出利用综合可再生能源系统(IRES)进行离网电气化,以满足印度Uttarakhand州Almora区七个未电气化村庄的电力和烹饪需求。在IRES的建模和优化过程中,考虑了四种不同的方案,以确保可靠性参数,例如能量指数比(EIR)和未提供的预期能量(EENS)。通过引入客户中断成本(CIC),还可以确定出最佳的系统可靠性,系统总成本和能源成本(COE)。已使用LINGO软件版本10对四种不同的可再生能源情景进行了比较。第四种可再生能源情景占44.99%的微型水电(MHP),30.07%的生物质,5.19%的沼气和4.16%的太阳能以及在考虑的不同方案中,风能(1.27%)和能源种植(12.33%)的其他资源是最好的。此外,已经发现第四种IRES系统的最佳可靠性为0.95 EIR,优化成本为19.44卢比的成本,估计COE为每千瓦时3.36卢比。还比较了使用LINGO软件和HOMER软件获得的COE,并针对所有四种情况进行了简要讨论。为了验证针对不同生物质燃料价格的系统的可行性和成本,还进行了敏感性分析,发现第四种方案比其他考虑的方案更具可持续性。

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