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CO2 emissions curtailment from the usage of electric vehicles in sal Island

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dc.contributor.authorGraça, Randi Cleiton Cardoso Brito da
dc.contributor.authorFerreira, Ângela P.
dc.date.accessioned2024-02-20T14:41:10Z
dc.date.available2024-02-20T14:41:10Z
dc.date.issued2023
dc.description.abstractElectrification of the transport sector in Cape Verde, followed by the construction of a charging infrastructure mainly supported by renewable energy, is one of the most important long-term objectives in Cape Verde. Despite having lower greenhouse gas (GHG) emissions when compared with other countries, the country adopted a strategy to decrease the consumption of fossil fuels and consequentially decrease GHG emissions in the transport sector with the implementation of policies to accelerate the deployment of electric mobility, aligned with the Sustainable Development Goals from the United Nations. Therefore, this paper analyses the electric mobility’s deployment in CapeVerde and the amount of GHG emissions that is possible to avoid with the usage of electric vehicles (EVs) considering two scenarios, first with the EV charging from the public grid energy and, second, the EVs charging from renewable energy sources. The conducted analysis exploits a practical case of a company located in Sal Island that has been replacing internal combustion engine (ICE) based vehicles with electric vehicles. Results suggest a reduction of 60.5% of carbon dioxide (CO2) emissions by using an electric fleet charged from a utility grid with a high penetration of fossil fuels compared with an ICE-based fleet.pt_PT
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGraça, Randi Cleiton Cardoso Brito da; Ferreira, Ângela (2023). CO2 emissions curtailment from the usage of electric vehicles in sal Island. In 2nd International Conference on Sustainable Smart Cities and Territories (SSCT). ISSN 2367-3370. 732, p. 332-340pt_PT
dc.identifier.doi10.1007/978-3-031-36957-5_29pt_PT
dc.identifier.issn2367-3370
dc.identifier.urihttp://hdl.handle.net/10198/29561
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationLA/P/0007/2021pt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectElectric mobilitypt_PT
dc.subjectRenewable energypt_PT
dc.subjectCOPERTpt_PT
dc.subjectGHG emissionspt_PT
dc.titleCO2 emissions curtailment from the usage of electric vehicles in sal Islandpt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDB/05757/2020
oaire.awardNumberUIDP/05757/2020
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.citation.endPage340pt_PT
oaire.citation.startPage332pt_PT
oaire.citation.title2nd International Conference on Sustainable Smart Cities and Territories (SSCT)pt_PT
oaire.citation.volume732pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFerreira
person.givenNameÂngela P.
person.identifier.ciencia-id2211-6787-D936
person.identifier.orcid0000-0002-1912-2556
person.identifier.ridM-8188-2013
person.identifier.scopus-author-id55516840300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication.latestForDiscovery3fec941d-79fb-4901-918d-a34ffa0195cc
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
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