Deployment of electric buses: Planning the fleet size and type, charging infrastructure and operations with an optimization-based model

Detalhes bibliográficos
Autor(a) principal: Grilo T. C.
Data de Publicação: 2020
Outros Autores: Kalakou, S., Fernandes, J.
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10071/25498
Resumo: The current awareness about climate change creates the urgency in adjusting the services provided in public transport towards more sustainable operations. Recent studies have shown that the integration of electric vehicles into existing fleets is an alternative that allows reducing CO2 emissions, thus contributing to a more sustainable provision of services in the sector. When the aim is to achieve a full electrification of a bus fleet, several decisions need to be planned, such as i) the number of buses that are required, ii) the types of batteries used in those vehicles, iii) the charging technologies and strategies, iv) the location of the charging stations, and v) the frequency of charging. Nevertheless, although several planning studies have focused on the full electrification of a bus fleet, no study was found considering all these planning decisions that are deemed as essential for an adequate planning. Our study thus contributes to this gap in the literature, by proposing an optimization-based planning model that considers all these planning dimensions in the decision-making process related to the integration of electric buses in a public bus transport system – the MILP4ElectFleet model. All these decisions are evaluated while ensuring the minimization of in-vestment and operating costs. The MILP4ElectFleet model is applied to the Car-ris case study, a Portuguese public transport operator in the metropolitan area of Lisbon.
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spelling Deployment of electric buses: Planning the fleet size and type, charging infrastructure and operations with an optimization-based modelElectric bus fleetPublic transportOptimizationThe current awareness about climate change creates the urgency in adjusting the services provided in public transport towards more sustainable operations. Recent studies have shown that the integration of electric vehicles into existing fleets is an alternative that allows reducing CO2 emissions, thus contributing to a more sustainable provision of services in the sector. When the aim is to achieve a full electrification of a bus fleet, several decisions need to be planned, such as i) the number of buses that are required, ii) the types of batteries used in those vehicles, iii) the charging technologies and strategies, iv) the location of the charging stations, and v) the frequency of charging. Nevertheless, although several planning studies have focused on the full electrification of a bus fleet, no study was found considering all these planning decisions that are deemed as essential for an adequate planning. Our study thus contributes to this gap in the literature, by proposing an optimization-based planning model that considers all these planning dimensions in the decision-making process related to the integration of electric buses in a public bus transport system – the MILP4ElectFleet model. All these decisions are evaluated while ensuring the minimization of in-vestment and operating costs. The MILP4ElectFleet model is applied to the Car-ris case study, a Portuguese public transport operator in the metropolitan area of Lisbon.Springer Cham2022-05-20T15:03:20Z2020-01-01T00:00:00Z20202022-05-20T16:02:41Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10071/25498eng978-3-030-71454-31867-821110.1007/978-3-030-71454-3_11Grilo T. C.Kalakou, S.Fernandes, J.info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-07-07T03:35:29Zoai:repositorio.iscte-iul.pt:10071/25498Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:28:24.220954Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Deployment of electric buses: Planning the fleet size and type, charging infrastructure and operations with an optimization-based model
title Deployment of electric buses: Planning the fleet size and type, charging infrastructure and operations with an optimization-based model
spellingShingle Deployment of electric buses: Planning the fleet size and type, charging infrastructure and operations with an optimization-based model
Grilo T. C.
Electric bus fleet
Public transport
Optimization
title_short Deployment of electric buses: Planning the fleet size and type, charging infrastructure and operations with an optimization-based model
title_full Deployment of electric buses: Planning the fleet size and type, charging infrastructure and operations with an optimization-based model
title_fullStr Deployment of electric buses: Planning the fleet size and type, charging infrastructure and operations with an optimization-based model
title_full_unstemmed Deployment of electric buses: Planning the fleet size and type, charging infrastructure and operations with an optimization-based model
title_sort Deployment of electric buses: Planning the fleet size and type, charging infrastructure and operations with an optimization-based model
author Grilo T. C.
author_facet Grilo T. C.
Kalakou, S.
Fernandes, J.
author_role author
author2 Kalakou, S.
Fernandes, J.
author2_role author
author
dc.contributor.author.fl_str_mv Grilo T. C.
Kalakou, S.
Fernandes, J.
dc.subject.por.fl_str_mv Electric bus fleet
Public transport
Optimization
topic Electric bus fleet
Public transport
Optimization
description The current awareness about climate change creates the urgency in adjusting the services provided in public transport towards more sustainable operations. Recent studies have shown that the integration of electric vehicles into existing fleets is an alternative that allows reducing CO2 emissions, thus contributing to a more sustainable provision of services in the sector. When the aim is to achieve a full electrification of a bus fleet, several decisions need to be planned, such as i) the number of buses that are required, ii) the types of batteries used in those vehicles, iii) the charging technologies and strategies, iv) the location of the charging stations, and v) the frequency of charging. Nevertheless, although several planning studies have focused on the full electrification of a bus fleet, no study was found considering all these planning decisions that are deemed as essential for an adequate planning. Our study thus contributes to this gap in the literature, by proposing an optimization-based planning model that considers all these planning dimensions in the decision-making process related to the integration of electric buses in a public bus transport system – the MILP4ElectFleet model. All these decisions are evaluated while ensuring the minimization of in-vestment and operating costs. The MILP4ElectFleet model is applied to the Car-ris case study, a Portuguese public transport operator in the metropolitan area of Lisbon.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01T00:00:00Z
2020
2022-05-20T15:03:20Z
2022-05-20T16:02:41Z
dc.type.driver.fl_str_mv conference object
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/25498
url http://hdl.handle.net/10071/25498
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-3-030-71454-3
1867-8211
10.1007/978-3-030-71454-3_11
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dc.publisher.none.fl_str_mv Springer Cham
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