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Smart city article details
| Title | Modeling Future Demand And Utilization Of Electric Vehicle Public Charging Station |
|---|---|
| ID_Doc | 37546 |
| Authors | Pratiwi F.D.; Hadi P.O.; Hadi M.S.; Hariyanto N. |
| Year | 2024 |
| Published | 6th International Conference on Power Engineering and Renewable Energy, ICPERE 2024 - Proceedings |
| DOI | http://dx.doi.org/10.1109/ICPERE63447.2024.10845436 |
| Abstract | To increase environmental sustainability, many countries are electrifying their transportation systems in smart city planning, so that the number of electric vehicles will increase significantly in the future. Rising prices and the scarcity of fuel oil also lead to transportation electrification. On the other hand, a significant obstacle that causes the use of electric vehicles to be less accepted by society is concern about distance traveled, or what is termed "range anxiety". One solution that is feasible is increasing the amount of charging infrastructure. Electrification of transportation without being balanced with adequate charging infrastructure, will only suppress the increase in the use of electric vehicles themselves. This research proposes an agent-based modeling of EV user behavior to obtain EV charging station distribution in Semarang City. The remaining number of electric vehicles from the past 3 years becomes data input for predicting the total number of electric vehicles 3 years later. The total number of EVs and their spatial distribution were then applied to the behavior model. It was then used as a consideration for charging station infrastructure availability. The result is the agent-based model can approach the charging demand for designing the charging station distribution system that is able to complement existing locations and meet charging demand. © 2024 IEEE. |
| Author Keywords | agent-based model; charging station system; Electric vehicle system |
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