Meeting the charging demand of Electric Vehicles in Greece: Enabling intercity trips

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS
Themistoklis Stamadianos, Nikolaos A. Kyriakakis, Magdalene Marinaki, Yannis Marinakis
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Abstract

The increasing need for sustainable transportation has underscored the pivotal role of electric mobility in shaping the future of mobility. Electric Vehicles (EVs) have emerged as a promising solution, but their widespread adoption is contingent upon the availability of a reliable charging network. This challenge extends even to EV adoption pioneers like Norway and China. This study delves into the context of EV adoption in Greece, providing insights into the EV market, existing incentives, and the state of charging infrastructure. Reports indicate that Greece is at a critical juncture, with fast EV adoption but sluggish development of Charging Stations (CSs). To address this issue, a Monte Carlo simulation is employed to evaluate the feasibility of long-distance EV trips in Greece and propose an infrastructure development plan. For EVs, the study reveals a linear relationship between battery size and autonomy, with some exceptions emphasizing the importance of data acquisition and individual EV assessment. The study also provides insights into the relationship between trip length and energy consumption, indicating that longer trips exhibit greater fluctuation in energy consumption due to varying conditions, while energy usage patterns of shorter trips are more predictable. Additionally, the analysis presents average energy consumption values for each EV model in different temperature conditions, highlighting the impact of environmental factors on EV performance.

满足希腊电动汽车的充电需求:支持城际旅行
对可持续交通日益增长的需求凸显了电动交通在塑造未来交通中的关键作用。电动汽车(EV)已成为一种前景广阔的解决方案,但其广泛应用取决于是否有可靠的充电网络。即使是挪威和中国这样的电动汽车先行者也面临着这一挑战。本研究深入探讨了希腊采用电动汽车的背景,提供了有关电动汽车市场、现有激励措施和充电基础设施状况的见解。有报告显示,希腊正处于一个关键时刻,电动汽车普及速度快,但充电站(CS)发展缓慢。为解决这一问题,我们采用蒙特卡洛模拟法对希腊电动汽车长途旅行的可行性进行了评估,并提出了基础设施发展计划。对于电动汽车而言,研究揭示了电池尺寸与自主性之间的线性关系,但也有一些例外情况,强调了数据采集和电动汽车个体评估的重要性。研究还深入分析了行程长度与能源消耗之间的关系,结果表明,由于条件不同,较长行程的能源消耗波动较大,而较短行程的能源使用模式更可预测。此外,分析还提供了每种电动汽车型号在不同温度条件下的平均能耗值,突出了环境因素对电动汽车性能的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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