Abstract
With the wide-spread adoption of electric vehicles (EVs), introducing solar energy in building EV charging stations is promising as it can reduce carbon emissions and improve air quality. The main challenges are how to decide where to build solar assisted charging stations in a city and how to size the charging stations, as the decision is affected by a broad range of factors, such as construction cost, solar energy fluctuation, and user requirements. This paper proposed an approach to efficiently decide the locations and sizes of solar energy assisted charging stations for an urban area. Experiments are conducted on real EV history data from 297 users of an EV leasing company. The results show that the proposed method can produce high quality decisions within reasonable computation time. The work of this paper will provide important information for decision makers to integrate solar energy into the EV charging infrastructure.
Highlights
Widespread adoption of electric vehicles (EVs) will reduce carbon emissions and improve local air quality
Based on the data and the information provided by Gaode Map [32], we find that parking behavior is mainly distributed near the city center, and there are several small areas in the non-central areas
The reason is that EV users have different lifestyles and different jobs, so there is no common phenomenon
Summary
Widespread adoption of electric vehicles (EVs) will reduce carbon emissions and improve local air quality. As the power source of the grid mainly comes from coal combustion in quite some regions [1], adopting EVs itself may not help energy conservation and emission reduction. Considering solar energy in the EV ecosystem, for example, building solar-powered charging stations, provides an opportunity for the sustainable use of electric vehicles. During the daytime, employees with access to daytime plugs can charge their EVs with solar energy at their workplaces. Solar charging systems can help the electric grid to meet the increasing charging demand from EVs and reduce the pressure on distribution systems and transmission infrastructure
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