Graduation Semester and Year
2020
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Industrial Engineering
Department
Industrial and Manufacturing Systems Engineering
First Advisor
Kate Hyun
Second Advisor
Jamie Rogers
Third Advisor
Yuan Zhou
Abstract
Road transports in the U.S. are almost entirely dependent on the consumption of fossil fuel. This high dependency on fossil fuel is significantly contributing to carbon dioxide (CO2) emission, one of the leading Green House Gases (GHGs) responsible for global warming. Electrification of passenger vehicles could be an effective strategy to curb GHG emissions. Though Electric Vehicles (EVs) have zero tailpipe emissions, the power required to charge EV batteries may not necessarily come from carbon-free power plants. In this study, for a comprehensive comparison between EV and Gasoline Vehicle (GV), we developed an agent-based simulation model for the entire energy pathway (Well-To-Wheel) and estimated the associated CO2 emissions. Taking into consideration the electricity production mix of the 50 U.S. states, our simulation results revealed that the benefits of EVs are not the same across all states. Unfortunately, in some states where the major portion of electricity comes from dirty energy sources, e.g., coal, oil, or gas fired power plants, EV might emit double the amount of CO2 to the environment as GV. We also studied the performance of Plug-in Hybrid Electric Vehicle (PHEV), and on average, in most states, PHEV performs environmentally better than EV according to the year 2018 energy mix data. We conducted a detailed sensitivity analysis of these vehicles under the city and highway driving cycles. These research findings will help decision-makers design effective policies for EV and PHEV adoption to achieve maximum environmental benefits.
Keywords
Vehicular Emissions, Electric Vehicle, Gasoline Vehicle, Green House Gases, Agent-Based Modeling, Traffic Simulation
Disciplines
Engineering | Operations Research, Systems Engineering and Industrial Engineering
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Rahman, Mdmamunur, "A COMPARATIVE ASSESSMENT OF CO2 EMISSION BETWEEN GASOLINE, ELECTRIC, AND HYBRID VEHICLES: A WELL-TO-WHEEL PERSPECTIVE USING AGENT-BASED MODELING" (2020). Industrial, Manufacturing, and Systems Engineering Dissertations. 166.
https://mavmatrix.uta.edu/industrialmanusys_dissertations/166
Comments
Degree granted by The University of Texas at Arlington