A stochastic value estimation tool for electric vehicle charging points

Title A stochastic value estimation tool for electric vehicle charging points
Author Poyrazoğlu, Göktürk, Göktürk, Elvin Çoban
Publication Date: 2021-07-15
Publication Place - Elsevier
Subject Stochastic, Simulation, Electric vehicles, Charging point
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 0360-5442
Record ID a6129d6d-da95-44fd-bf4a-b655aedfef0e
Library Location Industrial Engineering, Electrical & Electronics Engineering
Date 2021-07-15
Sample Text 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.
DOI 10.1016/j.energy.2021.120335
Cilt 227
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A stochastic value estimation tool for electric vehicle charging points

Author Poyrazoğlu, Göktürk, Göktürk, Elvin Çoban
Publication Date 2021-07-15
Publication Place - Elsevier
Subject Stochastic, Simulation, Electric vehicles, Charging point
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 0360-5442
Record ID a6129d6d-da95-44fd-bf4a-b655aedfef0e
Library Location Industrial Engineering, Electrical & Electronics Engineering
Date 2021-07-15
Sample Text 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.
DOI 10.1016/j.energy.2021.120335
Cilt 227
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