Reem Al Jneibi

Recently, 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 consume less energy per unit distance, and add the benefit of not emitting any carbon dioxide in operation and instead shift their emissions to the existing local fleet of power generation. However, the true success of EVs depends on their successful integration with the supporting… عرض المزيد

Recently, 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 consume less energy per unit distance, and add the benefit of not emitting any carbon dioxide in operation and instead shift their emissions to the existing local fleet of power generation. However, the true success of EVs depends on their successful integration with the supporting infrastructure systems. Building upon the recently published methodology of the same purpose, this paper presents a systems-of-systems example assessing the impacts of EVs on these three systems in the context of Abu Dhabi. For the physical transportation system, a microscopic discrete-time traffic operations simulator is used to predict the kinematic state of the EV fleet over the duration of one day. For the impact on the Intelligent Transportation System (ITS), the integration of EVs into Abu Dhabi is studied using a Multi-Domain Matrix (MDM) of the Abu Dhabi Department of Transports 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. The paper concludes with the need for an Intelligent Transportation-Energy System (ITES) which would coordinate traffic and energy management functionality. عرض أقل

In recent years, electric vehicles (EVs) have gained much attention as a potential enabling technology to support CO2 emissions reduction targets. Furthermore, many of the cost and vehicle technology barriers that have prevented their adoption in the past are increasingly being addressed by vehicle manufacturers. Nevertheless, the question remains as to whether EVs themselves will be technically feasible within the larger infrastructure systems with which they interact. Fundamentally, EVs… عرض المزيد

In recent years, electric vehicles (EVs) have gained much attention as a potential enabling technology to support CO2 emissions reduction targets. Furthermore, many of the cost and vehicle technology barriers that have prevented their adoption in the past are increasingly being addressed by vehicle manufacturers. Nevertheless, the question remains as to whether EVs themselves will be technically feasible within the larger infrastructure systems with which they interact. Fundamentally, EVs interact with three interconnected `systems-of-systems': the (physical) transportation system, the electric power grid, and their supporting information systems often called intelligent transportation systems (ITS). These systems affect the EV operation in potentially constraining ways that can negatively impact the EV user's final transportation experience. This paper seeks to understand and assess these interactions in such a way as to evaluate their ultimate technical feasibility in relation to their supporting infrastructure systems. A new assessment method based upon modeling tools for each infrastructure system is proposed. For the traffic system, a microscopic discrete-time traffic operations simulator is used to study the kinematic state of the EV fleet at all times. For the electric power system, power flow analysis is used to determine the electrical charging loads required by the EV traffic usage patterns. Finally, UML is used to model the intelligent transportation system functionality as compared to a template of functions deemed necessary to support EV integration. The final method of technical feasibility assessment is demonstrated in a hypothetical scenario which conceptualizes the EV adoption scenario by a taxi service operator. عرض أقل