Date of Graduation


Document Type

Problem/Project Report

Degree Type



Statler College of Engineering and Mineral Resources


Industrial and Managements Systems Engineering

Committee Chair

Bhaskaran Gopalakrishnan

Committee Co-Chair

Ashsish Nimbarte

Committee Member

Hailin Li


To overcome the transportation sector's dependency on fossil fuels, electric vehicles appears to be a better alternative with a number of impressive benefits. Enhancing the utilization of electric vehicles not only reduces global gasoline and diesel consumption but also helps in running an environmentally cleaner road transport system with zero tailpipe emissions. As road transport involves substantial gasoline and diesel consumption, Plug-in Electric Vehicles (EVs) being more energy efficient and environment friendly can have direct impact on reduction of fuel reliance. One of the important limitations influencing the penetration of electrical vehicles in the global market is the lack of adequate charging infrastructure availability. Considering various challenges involved in deployment of charging infrastructure, enhancement of public charging infrastructure can be a successful step resulting in electric vehicle market raise. This project is focused in developing a decision support system to evaluate optimal number of charging stations to be established in a public facility, which are sustainable and economically viable. This system considers a Monte Carlo simulation of a scenario using various pre-recorded categorical data, depicting traffic arrival patterns and logistic challenges created by variance in weather severity and time of the year. The simulated data can be used to estimate the energy consumption and costs incurred by the charging stations in the facility. This work results in a decision making spreadsheet-based model that enable facilities to explore cost implications of installing and operating Electric Vehicle Supply Equipment (EVSE).