Technical Feasibility Assessment of Electric Vehicles in Abu Dhabi

  • Reem Al Junaibi

Student thesis: Master's Thesis

Abstract

Electric Vehicles (EVs) have gained much attention as a potential enabling technology to support CO2 emissions reduction targets. Relative to their internal combustion vehicle counterparts, EVs are more energy efficient, consume less energy per unit distance, and add the benefit of not emitting any carbon dioxide in operation. As the power generation portfolio gains a greater penetration of renewable energy, the end-to-end carbon footprint of EVs approaches neutrality. However, true success of EVs depends on their successful integration with the supporting infrastructure systems. EVs are fundamentally a part of three physical systems: road transportation system, electrical energy system and Intelligent Transportation Systems (ITS). In the road transportation system, EVs add, much like other vehicles, to road and parking congestion; but does so in a modified way due to its constraints on vehicle range and charging patterns. In the electrical energy system, the charging requirement places an energy demand that can be studied in terms of both energy and instantaneous power withdrawals. Finally, modern day road transportation systems are being upgraded with supporting ITS. Such systems help maintain situational awareness for drivers and traffic control centers alike. If EVs are to be accepted by everyday consumers, they must interface and interact with these three systems. This thesis presents a systems-ofsystems approach to study the impacts of EVs on these three systems in the context of Abu Dhabi. For the transportation system, a microscopic discrete-time traffic operations simulator, or Clean Mobility Simulator (CMS), is used to study the kinematic state of the EV fleet over the duration of one day. For the impact on the ITS, the integration of EVs into Abu Dhabi is studied using a Multi-Domain Matrix of Abu Dhabi's ITS. Finally, for the impact on the electric power system, the EV traffic flow patterns from the CMS are used to calculate the timing and magnitude of charging loads. In order to integrate the three systems into one assessment, this study presents a novel technical assessment methodology that includes quantitative quality measures. The study is concluded with a number of design heuristics that aim to mitigate the possible impacts all three systems.
Date of AwardJun 2013
Original languageAmerican English
SupervisorAmro M. Farid (Supervisor)

Keywords

  • Quality of Service; Electric Vehicles; Load Modeling; Power Systems.

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