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Economic viability of grid tied solar PV energy system in Muzaffargarh, Pakistan

机译:巴基斯坦穆扎法尔加尔并网太阳能光伏发电系统的经济可行性

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Since last decade, Pakistan is facing worst electricity shortfall which in turn has forced utility operators to endure regular scheduled disruption of electric supply. In this regard, the uses of Diesel Generators (DGs) have been a preferred alternative due to its instant availability even at much higher Cost of Energy (COE). DG based backup power generation has adverse environmental impacts due to Green House Gas (GHG) emissions. Renewable energy sources have capability, and are being increasingly implemented, to cope with energy crisis. This paper presents a case study for cost effective solution using available solar resources, to cope with the energy crisis for a grid connected site of Government College of Technology Muzaffargarh (GCTM), Pakistan. The proposed system was simulated and validated in Hybrid Optimization Model for Electric Renewables) HOMER software package, developed by National Renewable Energy Laboratory (NREL). Technoeconomic, sensitivity, and CO2 emission analysis were performed to find the appropriate decision variables (such as size and number of PV panels, batteries, converter, and DG) for hybrid system architecture. The results obtained from best PV generation system are compared with existing power generation system. The results show that COE for the proposed system has been significantly reduced from 0.299 /kWhto0.159/kWh.
机译:自上个十年以来,巴基斯坦面临着最严重的电力短缺,这反过来又迫使公用事业运营商不得不定期排定的电力供应中断。在这方面,由于柴油发电机组(DGs)即使在能源成本(COE)高得多的情况下也具有即时可用性,因此已成为首选方案。由于温室气体(GHG)的排放,基于DG的备用发电会对环境造成不利影响。可再生能源具有应对能源危机的能力,并且正在得到越来越多的实施。本文介绍了一个案例研究,该案例利用可用的太阳能资源来提供具有成本效益的解决方案,以应对巴基斯坦穆扎法尔加尔赫政府科技大学(GCTM)并网的站点的能源危机。该系统在由国家可再生能源实验室(NREL)开发的电力可再生能源混合优化模型HOMER软件包中进行了仿真和验证。进行了技术经济,敏感性和CO2排放分析,以找到适用于混合系统体系结构的适当决策变量(例如,光伏电池板,电池,转换器和DG的尺寸和数量)。从最佳光伏发电系统获得的结果与现有发电系统进行了比较。结果表明,拟议系统的COE已从0.299 / kWh大大降低至0.159 / kWh。

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