Electric bus coordinated charging strategy considering V2G and battery degradation

Detalhes bibliográficos
Autor(a) principal: Manzolli, Jônatas Augusto
Data de Publicação: 2022
Outros Autores: Trovão, João Pedro F., Antunes, Carlos Henggeler
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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spelling 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
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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