Department of Industrial Engineering2024-11-1020170098-135410.1016/j.compchemeng.2016.11.0262-s2.0-85007433812http://dx.doi.org/10.1016/j.compchemeng.2016.11.026https://hdl.handle.net/20.500.14288/17070Electric vehicles (EV) are emerging as a mobility solution to reduce emissions in the transportation sector. The studies environmental impact analysis of EVs in the literature are based on the average energy mix or pre-defined generation scenarios and construct policy recommendations with a cost minimization objective. However, the environmental performance of EVs depends on the source of the marginal electricity provided to the grid and single objective models do not provide a thorough analysis on the economic and environmental impacts of EVs. In this paper, these gaps are addressed by a four step methodology that analyzes the effects of EVs under different charging and market penetration scenarios. The methodology includes a bi-criteria optimization model representing the electricity market operations. The results from a real-life case analysis show that EVs decrease costs and emissions significantly compared to conventional vehicles.Computer scienceInterdisciplinary applicationsEngineeringChemical engineeringA bi-criteria optimization model to analyze the impacts of electric vehicles on costs and emissionsJournal Article1873-4375401885400014Q23856