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Spatial Planning of Electric Vehicle Infrastructure for Belo Horizonte, Brazil

2018-12-19Artigo científico Acesso aberto
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dc.contributor.authorCosta, José Evaldo Geraldo
dc.contributor.authorPaiva, Artur
dc.contributor.authorSeixas, Julia
dc.contributor.authorCosta, Gustavo
dc.contributor.authorBatista, Patrícia
dc.contributor.authorÓ Gallachóir, Brian
dc.contributor.institutionDCEA - Departamento de Ciências e Engenharia do Ambiente
dc.contributor.institutionCENSE - Centro de Investigação em Ambiente e Sustentabilidade
dc.contributor.pblJohn Wiley & Sons, Ltd / Hindawi Publishing Corporation
dc.date.accessioned2019-04-16T22:16:00Z
dc.date.available2019-04-16T22:16:00Z
dc.date.issued2018-12-19
dc.descriptionMITP-TB/C S/0026/2013
dc.description.abstractIn pursuit of a more sustainable transportation system, electric vehicles (EVs) have the potential to play a fundamental role due to their improved efficiency and lower emissions. The absence of an adequate electric vehicle supply equipment (EVSE) network has been one of the major obstacles for the mass adoption of EV, in large municipalities of developing countries. This is the case in Belo Horizonte (BH), Brazil, which also has a high motorization rate (7 light-duty vehicles per 10 inhabitants). The purpose of this study is to measure and identify the optimal locations for EVSE according to selected criteria to meet the needs of light-duty electric vehicles (LDEV) corresponding to a penetration of 1% by 2025 in the municipality of BH. The study highlights the most important attributes that need to be considered for the installation of an EVSE network in an urban space for a developing country. Multi-Criteria Decision Making (MCDM), the Weighted Linear Combination (WLC) method, and the Analytical Hierarchy Process (AHP) technique based on the inputs from a group of Brazilian electrical mobility specialists, coupled with a Geographic Information System (GIS) modeling tool, were used for this study. The results revealed that around 1,200 EVSE units are needed, with a large concentration of EVSE in a small region. We also illustrate where stakeholders should focus their attention for the successful promotion of EV. The development methodology has the potential to be applied in other future EVSE development projects.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent16
dc.format.extent4022025
dc.identifier.doi10.1155/2018/8923245
dc.identifier.otherPURE: 12785094
dc.identifier.otherPURE UUID: e4c32f51-a2e5-4adb-9cf1-cbf7279c2f53
dc.identifier.otherScopus: 85065234157
dc.identifier.otherWOS: 000466375300001
dc.identifier.otherORCID: /0000-0003-0355-0465/work/92872486
dc.identifier.urihttp://hdl.handle.net/10362/66879
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147329/PT
dc.subjectSDG 9 - Industry, Innovation, and Infrastructure
dc.subjectSDG 11 - Sustainable Cities and Communities
dc.titleSpatial Planning of Electric Vehicle Infrastructure for Belo Horizonte, Brazilen
dc.typejournal article
degois.publication.titleJournal of Advanced Transportation
degois.publication.volume2018
dspace.entity.typePublication
oaire.awardNumberUID/EEA/50009/2013
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F50009%2F2013/PT
oaire.fundingStream5876
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublicationb9b0658a-062d-4f52-a886-e395383ed5d5
relation.isProjectOfPublication.latestForDiscoveryb9b0658a-062d-4f52-a886-e395383ed5d5

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