Electrical & Electronics Engineering

Permanent URI for this collectionhttps://hdl.handle.net/10679/44

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Browsing by Institution Author "GÖKTÜRK, Elvin Çoban"

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    Demand-driven electricity supply options of electric vehicles: modelling, simulation, and management strategy of public charging stations
    (Springer, 2021-10-13) Göktürk, Elvin Çoban; Poyrazoğlu, Göktürk; Industrial Engineering; Electrical & Electronics Engineering; GÖKTÜRK, Elvin Çoban; POYRAZOĞLU, Göktürk
    In this chapter, we discuss the challenges and research opportunities in the demand-driven electricity supply options of electric vehicles (EVs) at public charging stations (CSs). EVs have gained increased attention in recent years due to the need for clean energy sources and growing global warming discussions. Major automakers have already stated that RandD efforts for gasoline and diesel vehicles will be ceased by 2025. Even if, these may result in the rapid adoption of EVs in upcoming years, there are still open problems with the public CSs restricting the widespread use of EVs. In this study, we discuss some of the strategic, tactical, and operational level problems related to public CSs. We explain an existing mathematical model computing the location of public CSs and discuss possible extensions. Once the locations of public CSs are fixed, we explain how to model a public CS by simulation varying the number and type of chargers. We also report the energy consumption and utilization of chargers and introduce different charging policies (with/without valet service). We also discuss different pricing models and remaining open problems on how to best design public CSs.
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    A stochastic value estimation tool for electric vehicle charging points
    (Elsevier, 2021-07-15) Poyrazoğlu, Göktürk; Göktürk, Elvin Çoban; Industrial Engineering; Electrical & Electronics Engineering; GÖKTÜRK, Elvin Çoban; POYRAZOĞLU, Göktürk
    A stochastic value estimation tool serves as a planning tool with embedded modules for electrical and financial valuation of electric vehicle charging points. The tool is developed in stochastic nature for selected service and technology options. The tool is also valuable as a research tool to create a data set for a possible charging station with details of vehicle brands, state-of-charge at the arrival, charge duration, and waiting time. A case study for one of the biggest shopping malls in Istanbul, Turkey, where welcomes 350-400 electric vehicles per day is analyzed. The results are discussed on performance metrics such as the average waiting time in the queue, utilization of the station and each socket, profit, customer satisfaction, energy, and power consumption.