Othman, Bassel (IFPEN - IFP Energies nouvelles), De Nunzio, Giovanni (IFP Energies nouvelles)

Agent-Based Electromobility Simulation Framework for the Prospective Analysis of Electric Vehicles Energy Demand in Urban Areas

Scheduled for presentation during the Regular Session "Electric Vehicles - Charging and Scheduling II" (FrAT3), Friday, September 27, 2024, 11:10−11:30, Salon 6

2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), September 24- 27, 2024, Edmonton, Canada

This information is tentative and subject to change. Compiled on December 26, 2024

Abstract

With the increasing urgency to mitigate climate change and reduce dependence on fossil fuels, the integration of electric vehicles (EVs) into transportation systems has emerged as a promising solution. However, the successful transition to widespread EV adoption necessitates a thorough understanding of the compatibility between individual mobility demands and EV capabilities. This paper presents a sequential modeling framework for analyzing the impact of mass EV adoption on mobility demand compatibility, energy consumption, power demands, and environmental impact. By decoupling various blocks within the framework, computation time is reduced, allowing the study of a multitude of scenarios at varying EV penetration rates. The proposed methodology is illustrated through a case study in Lyon, France. Results highlight a preference for home charging, an increase in energy demand absorbed by public charging with higher EV penetration rates, and a potential for peak shaving with the development of workplace (or work) charging. Finally, insights into CO2 reduction associated with EV adoption are also provided.