DocumentCode :
1891680
Title :
Technical feasibility assessment of electric vehicles: An Abu Dhabi example
Author :
Al Junaibi, R. ; Viswanath, Anupam ; Farid, Amro M.
Author_Institution :
Masdar Inst., Abu Dhabi, United Arab Emirates
fYear :
2013
fDate :
2-6 Dec. 2013
Firstpage :
410
Lastpage :
417
Abstract :
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, 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 an 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.
Keywords :
air pollution control; battery powered vehicles; energy management systems; intelligent transportation systems; power system management; Abu Dhabi; CMS; Department of Transports; EV fleet kinematic state; EV traffic flow patterns; ITES; ITS; MDM; carbon dioxide emission reduction target; charging load magnitude; charging load timing; electric power system; electric vehicles; energy management functionality; intelligent transportation system; intelligent transportation-energy system; internal combustion vehicle counterpart; local fleet; microscopic discrete-time traffic operation simulator; multidomain matrix; physical transportation system; power generation; technical feasibility assessment; Electric vehicles; Load modeling; Power systems; Quality of service; Unified modeling language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Connected Vehicles and Expo (ICCVE), 2013 International Conference on
Conference_Location :
Las Vegas, NV
Type :
conf
DOI :
10.1109/ICCVE.2013.6799828
Filename :
6799828
Link To Document :
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