3.8 Proceedings Paper

Optimal integration of Renewables and Second-Life batteries to improve the environmental sustainability of Electric Vehicle Fleets

出版社

IEEE
DOI: 10.1109/EEEIC/ICPSEurope51590.2021.9584798

关键词

Electric Vehicle; Second-Life batteries; Charging Station sizing; Optimal Electric Vehicle charging; carbon footprint

资金

  1. MISE
  2. ENEA

向作者/读者索取更多资源

In order to achieve a carbon neutral energy system, the design and control strategy of electric vehicle charging stations play a crucial role. This study implemented an optimal design methodology and compared two charging strategies to quantify the influence of the control approach on the charging station configuration, taking into account energy demand and production uncertainties. The results show that an optimal control strategy can lead to greater emission reduction and lower PV and Electric Energy Storage capacity needed for carbon neutrality in the EV charging process.
Electrification of the transport sector and massive installation of renewables are seen as two cornerstones for achieving a carbon neutral energy system. Nevertheless, uncontrolled electric vehicle charge combined with fluctuating energy production could induce power quality issues and system inefficiencies, causing an opposite outcome. Thus, in order to make sure that the energy system could benefit from electric mobility and renewable energy sources installation, proper design and control strategy of the charging stations is crucial. The aim of this study is to implement an optimal design methodology for an Electric Vehicle charging station located at a workplace. PV peak power, Electric Energy Storage capacity with retired Electric Vehicle batteries and number of charging columns to install are optimally defined targeting the carbon neutrality of the charging station operation. Two different charging strategy are implemented and compared to quantify the influence of the control approach on the final optimal charging station configuration. Moreover, energy demand and production uncertainties are taken into account in the production of the input data. The obtained results suggest that an optimal control strategy allows to have always a greater emission reduction and to downsize the PV and Electric Energy Storage capacity needed to achieve the carbon neutrality of the EV charging process.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据