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Olasılık ve istatistik temelli simülasyon ile elektrikli araç şarj istasyonlarının elektriksel ve finansal analizi

2022
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Advisor: Dr. Öğr. Üyesi Göktürk Poyrazoğlu

Abstract (EN)

Increasing environmental pollution with the increase of vehicles that have internal combustion engines has led people to alternative methods due to the transportation sector's share in environmental pollution. Last decade, Researches have been increasıng sharply in this field to improve E-Mobility usage. On the other hand, automobile manufacturers who are producing internal combustion engines have announced that they will stop their R&D studies as of 2025. It is predicted that 300-350 million electric vehicles will be in traffic in the world by 2040. It is estimated that the energy demand created by this number of electric vehicles can be met with 350 million electric vehicle charging stations. In Turkey, it is estimated that 10 million electric vehicles will be on the roads in 2040. New charging stations will be established to meet the demand for electric vehicle charging stations that arise with the increase in electric vehicles. However, due to the lack of historical data, it is not entirely known how these stations will affect the electrification system in the region where they are installed in public areas. On the other hand, the number of stations does not increase rapidly due to the lack of a comparative example for investors who want to establish an electric vehicle charging station. In order to solve this problem, a simulation was created based on probabilistic and statistical analysis. As a result of the simulation, a realistic data set was created, and the effect of the new electric vehicle charging stations was discussed electrically and financially. There are two cases for using the simulation. One of the stations chosen for the simulation in the study is the shopping mall's car park, and another is a rest area on the Istanbul-Izmir highway.

Author

Dr. Doğukan Keser

How to Cite

Doğukan Keser (Master Thesis). Olasılık ve istatistik temelli simülasyon ile elektrikli araç şarj istasyonlarının elektriksel ve finansal analizi, 2022, Özyegin University.

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