Economic feasibility of SPV integrated EV Charging Infrastructure for NIT Srinagar Institutional Campus in J&K, India

Nadeem Ahmad Ganie, Zeeshan Hayaat Rather, Zahid Farooq, A. Rahman
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Abstract

The need for electric-vehicle charging infrastructure (EVCI) has recently emerged with much attention due to the rapid rise in usage of electric-vehicles (EVs). Presently, small scale solar-photovoltaic (SPV) system are utilized as distributed generation, so as to reduce conventional sources dependency. This article reports the economic feasibility of SPV integrated EVCI for institutional campus of National Institute of Technology (NIT) Srinagar located in Jammu and Kashmir, India. For analysis, the design and positioning of SPV system for institute campus is carried out using web-based Helioscope. While, the complete network design and economic analysis are performed using HOMER software. The solar global horizontal irradiance for institute location is retrieved from National Renewable Energy Laboratory (NREL) USA. The load data of the institute, for year-2019 is collected from electrical maintenance and repairs (EM&R) division of NIT Srinagar. Analyses are done for three different scenarios. Scenario-1 is the base case, with power supplied only by the utility-grid. Scenario-2 integrates the SPV system in addition to the utility-grid, delivering power to the institute campus load. Finally, scenario-3 incorporates both SPV system and EVCI with EVs serving as load (due to charging EVs). Thus in scenario-3, SPV system delivers power to the institute campus load in addition to EVs charging. Revenue is generated from SPV system by selling surplus energy to the grid, and EVCI with EV charging respectively. The comparative economic analysis is carried out for the presented scenarios.
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印度查谟克什米尔NIT斯利那加学院校园SPV集成电动汽车充电基础设施的经济可行性
近年来,随着电动汽车使用量的迅速增加,对电动汽车充电基础设施的需求日益受到人们的关注。目前,小型太阳能光伏发电(SPV)系统被用作分布式发电,以减少对传统能源的依赖。本文报告了印度国立理工学院(NIT)斯利那加校区SPV集成EVCI的经济可行性。为此,利用基于web的Helioscope对学院校园SPV系统进行了设计与定位。同时,利用HOMER软件进行了完整的网络设计和经济分析。研究所所在位置的太阳全球水平辐照度数据来自美国国家可再生能源实验室(NREL)。该研究所2019年的负荷数据是从印度理工学院斯利那加的电气维护和维修(EM&R)部门收集的。对三种不同的场景进行了分析。场景1是基本情况,仅由公用电网提供电力。场景2集成了SPV系统和公用电网,为学院校园负荷供电。最后,场景3结合了SPV系统和EVCI,其中电动汽车作为负载(由于电动汽车充电)。因此,在场景3中,SPV系统除了为电动汽车充电外,还为学院校园负荷提供电力。SPV系统通过向电网出售剩余能量产生收益,EVCI通过电动汽车充电产生收益。对所提出的方案进行了比较经济分析。
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