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Assessing electric vehicle CO2 emissions in the Portuguese power system using a marginal generation approach

机译:使用边际发电方法评估葡萄牙电力系统中的电动汽车二氧化碳排放量

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In this work the electric vehicle (EV) specific CO 2 emissions resulting from the EV integration on the Portuguese power system are analyzed, considering a large set of scenarios combining the system renewable capacity versus EV share, under a night charge scenario. For this purpose, a unit commitment and economic dispatch (UCED) is applied to the power units scheduling. The optimization procedure is implemented in General Algebraic Modeling System (GAMS) and performs the dispatch of the thermal and hydro units, in order to minimize the operation costs. The model is applied to an entire year of operation in a hourly basis using a marginal methodology. According to the results obtained, for the scenarios considered, the EV specific CO 2 emissions range from 57 g CO 2 /km, for high wind capacity and low EV penetration, to 129 g CO 2 /km, for low wind capacity and low EV penetration. From the results, it can be concluded that, with the current wind capacity of the Portuguese system, the impact of the EV in terms of CO 2 emissions is not beneficial when compared to the 95 g CO 2 /km target, for penetrations lower than 1 million vehicles. Results also show that EVs can be integrated in an environmental beneficial way, if increasing EV penetrations are combined with an increase in the installed wind capacity.
机译:在这项工作中,分析了由葡萄牙电力系统的EV集成产生的电动汽车(EV)特定的CO排放,考虑到了一系列大量方案,将系统可再生能力与EV共享相结合,在夜晚的充电场景下。为此目的,将单位承诺和经济调度(UCED)应用于电力单元调度。优化过程在一般代数建模系统(Gam)中实现,并执行热量和水力单元的调度,以便最小化运行成本。使用边际方法,每小时地将该模型应用于整整一年的操作。根据所获得的结果,对于考虑的情景,EV特定的二氧化碳排放量为57g Co 2 / Km,用于高风力和低通渗至129g Co 2 / Km,用于低风力容量和低动力渗透。从结果中,可以得出结论,随着葡萄牙系统的当前风力容量,与95g CO 2 / KM目标相比,EV在二氧化碳排放方面的影响是不利的,对于渗透率低100万辆车辆。结果还表明,如果越来越多的EV穿透与安装的风力增加,则EVS可以以环境有益的方式整合。

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