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Contribution of Electric Cars to the Mitigation of CO2 Emissions in the City of Sao Paulo

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Oct 2014 Belgium Publisher:IEEEJournal:2014 IEEE Vehicle Power and Propulsion Conference (VPPC)

Authors: Costa, Evaldo; Seixas, Julia;

doi: 10.1109/vppc.2014.7007035

handle: 20.500.14017/5c69ea53-7b15-48af-8908-e022c20c7826

Contribution of Electric Cars to the Mitigation of CO2 Emissions in the City of Sao Paulo

- Summary
- Subjects
- Metrics

Abstract

Adoption of the electric car to mitigate air pollution and climate change: myth or reality? This study aims to bring out the energy and climate mitigation impacts of mass introduction of electric cars in city of Sao Paulo, Brazil. A working scenario of 10 percent penetration of electric cars replacing gasoline-powered vehicles by 2020 and 20 percent by 2030 was set. The impact on the energy mix and CO2 emissions was based on indicators available for the city of Sao Paulo. Preliminary results indicate significant energy and environmental benefits to the city. We identified a potential reduction of up to 2030 will be about 11 MtCO2 representing more than 10 percent compared with the total emissions from the fleet of gasoline-powered cars.

Country

Belgium

Related Organizations

Vrije Universiteit Brussel
Belgium
Universidade Nova de Lisboa
Portugal

Keywords

Electric cars, vehicle fleet, São Paulo, Energy Matrix, greenhouse gas, electricity, environment

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	11
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average