Optimizing the Locations and Sizes of Solar Assisted Electric Vehicle Charging Stations in an Urban Area
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...
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IEEE
2020-01-01
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Online Access: | https://ieeexplore.ieee.org/document/9119344/ |
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author | Dong Ji Mingsong Lv Jiayu Yang Wang Yi |
author_facet | Dong Ji Mingsong Lv Jiayu Yang Wang Yi |
author_sort | Dong Ji |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-c42d1740455a4e60b180d623dace31af |
institution | Kabale University |
issn | 2169-3536 |
language | English |
publishDate | 2020-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj-art-c42d1740455a4e60b180d623dace31af2025-01-30T00:00:49ZengIEEEIEEE Access2169-35362020-01-01811277211278210.1109/ACCESS.2020.30030719119344Optimizing the Locations and Sizes of Solar Assisted Electric Vehicle Charging Stations in an Urban AreaDong Ji0https://orcid.org/0000-0003-1341-5638Mingsong Lv1https://orcid.org/0000-0002-4489-745XJiayu Yang2https://orcid.org/0000-0002-3225-7543Wang Yi3Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, School of Computer Science and Engineering, Northeastern University, Shenyang, ChinaKey Laboratory of Intelligent Computing in Medical Image, Ministry of Education, School of Computer Science and Engineering, Northeastern University, Shenyang, ChinaKey Laboratory of Intelligent Computing in Medical Image, Ministry of Education, School of Computer Science and Engineering, Northeastern University, Shenyang, ChinaKey Laboratory of Intelligent Computing in Medical Image, Ministry of Education, School of Computer Science and Engineering, Northeastern University, Shenyang, ChinaWith 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.https://ieeexplore.ieee.org/document/9119344/Charging stationelectric vehiclemetaheuristicsolar energy |
spellingShingle | Dong Ji Mingsong Lv Jiayu Yang Wang Yi Optimizing the Locations and Sizes of Solar Assisted Electric Vehicle Charging Stations in an Urban Area IEEE Access Charging station electric vehicle metaheuristic solar energy |
title | Optimizing the Locations and Sizes of Solar Assisted Electric Vehicle Charging Stations in an Urban Area |
title_full | Optimizing the Locations and Sizes of Solar Assisted Electric Vehicle Charging Stations in an Urban Area |
title_fullStr | Optimizing the Locations and Sizes of Solar Assisted Electric Vehicle Charging Stations in an Urban Area |
title_full_unstemmed | Optimizing the Locations and Sizes of Solar Assisted Electric Vehicle Charging Stations in an Urban Area |
title_short | Optimizing the Locations and Sizes of Solar Assisted Electric Vehicle Charging Stations in an Urban Area |
title_sort | optimizing the locations and sizes of solar assisted electric vehicle charging stations in an urban area |
topic | Charging station electric vehicle metaheuristic solar energy |
url | https://ieeexplore.ieee.org/document/9119344/ |
work_keys_str_mv | AT dongji optimizingthelocationsandsizesofsolarassistedelectricvehiclechargingstationsinanurbanarea AT mingsonglv optimizingthelocationsandsizesofsolarassistedelectricvehiclechargingstationsinanurbanarea AT jiayuyang optimizingthelocationsandsizesofsolarassistedelectricvehiclechargingstationsinanurbanarea AT wangyi optimizingthelocationsandsizesofsolarassistedelectricvehiclechargingstationsinanurbanarea |