Electric bus coordinated charging strategy considering V2G and battery degradation
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/100997 https://doi.org/10.1016/j.energy.2022.124252 |
Resumo: | The trend for the decarbonization of the transportation sector, contributing to climate change mitigation, has driven the accelerated deployment of electric buses in cities. However, higher upfront costs, charging infrastructure deployment and operational issues are the main obstacles to their massive adoption. This work develops an optimization model to deal with the charging schedule of a fleet of battery electric buses. This approach aims to minimize the charging costs of electric bus fleets also considering the ageing of the batteries and the participation in vehicle to grid schemes. We developed a case study using real-world data from a small electric bus fleet of eleven electric buses in a medium-size Portuguese city. Further, we performed a sensitivity analysis to assess the possibilities of energy trading with the grid. The results indicate that below a battery replacement cost threshold of 100 €/kWh, it may become economically attractive for public transportation operators to sell back energy to the grid for a given remuneration scheme. Considering battery degradation and energy selling, our study indicates that operation costs could be 38% lower in 2030. The approach presented in this article provides a tool that can be employed by public transportation operators to assist decision making in the electrification of bus systems. |
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Electric bus coordinated charging strategy considering V2G and battery degradationElectric bus fleetOptimization modelVehicle to gridBattery degradationCoordinated chargingThe trend for the decarbonization of the transportation sector, contributing to climate change mitigation, has driven the accelerated deployment of electric buses in cities. However, higher upfront costs, charging infrastructure deployment and operational issues are the main obstacles to their massive adoption. This work develops an optimization model to deal with the charging schedule of a fleet of battery electric buses. This approach aims to minimize the charging costs of electric bus fleets also considering the ageing of the batteries and the participation in vehicle to grid schemes. We developed a case study using real-world data from a small electric bus fleet of eleven electric buses in a medium-size Portuguese city. Further, we performed a sensitivity analysis to assess the possibilities of energy trading with the grid. The results indicate that below a battery replacement cost threshold of 100 €/kWh, it may become economically attractive for public transportation operators to sell back energy to the grid for a given remuneration scheme. Considering battery degradation and energy selling, our study indicates that operation costs could be 38% lower in 2030. The approach presented in this article provides a tool that can be employed by public transportation operators to assist decision making in the electrification of bus systems.The first author acknowledges the Portuguese Foundation for Science and Technology e FCT for the PhD grant no. 2021.04879.BD. This work was partially supported by projects UIBD/00308/2020 and the European Regional Development Fund through the COMPETE 2020, FCT and the Regional Operational Program of the Centre Region (CENTRO2020) within the projects MAnAGER (POCI01-0145-FEDER-028040) and RETROSIM (POCI-01-0145-FEDER032503), and by grant no. 950e230672 from Canada Research Chairs ProgramElsevier20222024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/100997http://hdl.handle.net/10316/100997https://doi.org/10.1016/j.energy.2022.124252eng03605442https://www.sciencedirect.com/science/article/pii/S0360544222011550Manzolli, Jônatas AugustoTrovão, João Pedro F.Antunes, Carlos Henggelerinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-10-27T11:07:21Zoai:estudogeral.uc.pt:10316/100997Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:18:15.749114Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Electric bus coordinated charging strategy considering V2G and battery degradation |
title |
Electric bus coordinated charging strategy considering V2G and battery degradation |
spellingShingle |
Electric bus coordinated charging strategy considering V2G and battery degradation Manzolli, Jônatas Augusto Electric bus fleet Optimization model Vehicle to grid Battery degradation Coordinated charging |
title_short |
Electric bus coordinated charging strategy considering V2G and battery degradation |
title_full |
Electric bus coordinated charging strategy considering V2G and battery degradation |
title_fullStr |
Electric bus coordinated charging strategy considering V2G and battery degradation |
title_full_unstemmed |
Electric bus coordinated charging strategy considering V2G and battery degradation |
title_sort |
Electric bus coordinated charging strategy considering V2G and battery degradation |
author |
Manzolli, Jônatas Augusto |
author_facet |
Manzolli, Jônatas Augusto Trovão, João Pedro F. Antunes, Carlos Henggeler |
author_role |
author |
author2 |
Trovão, João Pedro F. Antunes, Carlos Henggeler |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Manzolli, Jônatas Augusto Trovão, João Pedro F. Antunes, Carlos Henggeler |
dc.subject.por.fl_str_mv |
Electric bus fleet Optimization model Vehicle to grid Battery degradation Coordinated charging |
topic |
Electric bus fleet Optimization model Vehicle to grid Battery degradation Coordinated charging |
description |
The trend for the decarbonization of the transportation sector, contributing to climate change mitigation, has driven the accelerated deployment of electric buses in cities. However, higher upfront costs, charging infrastructure deployment and operational issues are the main obstacles to their massive adoption. This work develops an optimization model to deal with the charging schedule of a fleet of battery electric buses. This approach aims to minimize the charging costs of electric bus fleets also considering the ageing of the batteries and the participation in vehicle to grid schemes. We developed a case study using real-world data from a small electric bus fleet of eleven electric buses in a medium-size Portuguese city. Further, we performed a sensitivity analysis to assess the possibilities of energy trading with the grid. The results indicate that below a battery replacement cost threshold of 100 €/kWh, it may become economically attractive for public transportation operators to sell back energy to the grid for a given remuneration scheme. Considering battery degradation and energy selling, our study indicates that operation costs could be 38% lower in 2030. The approach presented in this article provides a tool that can be employed by public transportation operators to assist decision making in the electrification of bus systems. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2024-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/100997 http://hdl.handle.net/10316/100997 https://doi.org/10.1016/j.energy.2022.124252 |
url |
http://hdl.handle.net/10316/100997 https://doi.org/10.1016/j.energy.2022.124252 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
03605442 https://www.sciencedirect.com/science/article/pii/S0360544222011550 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799134077676158976 |