Electric Vehicle Integration into Road Transportation, Intelligent Transportation, and Electric Power Systems: An Abu Dhabi Case Study

Smart Cities

Asha Viswanath¹  Reem Al-Junaibi²  Thomas J. T. Van der Wardt³  Deema Allan⁴  Amro M. Farid⁵ 

[1] Department of Aerospace, School of Engineering, Main Campus, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates;Hub71, Abu Dhabi P.O. Box 764624, United Arab Emirates;NAVARA, 3972 LK Driebergen-Rijsenburg, The Netherlands;T3 Design, Fairfax, VA 22030, USA;Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA;

关键词: electrified transportation;    electrified transportation systems;    electric vehicle integration;    intelligent transportation system;    electric power system;    traffic simulation;   

DOI  :  10.3390/smartcities4030055

来源: DOAJ

【 摘 要 】

Recently, electric vehicles (EV) have gained much attention as a potential enabling technology to support CO${}_2$ 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 for the same purpose, this paper presents a “systems-of-systems” case study 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 Transportation 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.

【 授权许可】

Unknown