The electric boat charging problem

Detalhes bibliográficos
Autor(a) principal: Villa,Daniel
Data de Publicação: 2019
Outros Autores: Montoya,Alejandro, Ciro,Juan M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Production
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100602
Resumo: Abstract Paper aims This paper studies a new optimization problem called the Electric Boat Charging Problem (EBCP), which is based on the application of electric mobility in a river transport operation problem. Originality This work pioneers the studies of the electric mobility on the river operations, by proposing the EBCP. This problem includes real features of the electric mobility such as nonlinear charging functions, battery degradation costs, and speed variation. Research method For solving the EBCP, we propose a Mixed-Integer Linear Programming (MILP) formulation. For testing our MILP formulation, we use a set of instances based on a future transport operation. We also analyze the impact of some problem parameters on the objective function, and decision variables. Main findings Our MILP formulation is capable to optimally solve different type of instances in competitive CPU times. The battery capacity and a time limit constraint have and important impact on the objective function and the decision-making variables. Implications for theory and practice We model the EBCP as a MILP formulation. This model allows to optimally solve industrial scale instances. Moreover, using a sensitivity analysis, we unveil that both the battery capacity and the time limit constraint of the EB route are critical parameters.
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spelling The electric boat charging problemElectric boatCharging decisionsBattery degradationMILP formulationAbstract Paper aims This paper studies a new optimization problem called the Electric Boat Charging Problem (EBCP), which is based on the application of electric mobility in a river transport operation problem. Originality This work pioneers the studies of the electric mobility on the river operations, by proposing the EBCP. This problem includes real features of the electric mobility such as nonlinear charging functions, battery degradation costs, and speed variation. Research method For solving the EBCP, we propose a Mixed-Integer Linear Programming (MILP) formulation. For testing our MILP formulation, we use a set of instances based on a future transport operation. We also analyze the impact of some problem parameters on the objective function, and decision variables. Main findings Our MILP formulation is capable to optimally solve different type of instances in competitive CPU times. The battery capacity and a time limit constraint have and important impact on the objective function and the decision-making variables. Implications for theory and practice We model the EBCP as a MILP formulation. This model allows to optimally solve industrial scale instances. Moreover, using a sensitivity analysis, we unveil that both the battery capacity and the time limit constraint of the EB route are critical parameters.Associação Brasileira de Engenharia de Produção2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100602Production v.29 2019reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.20190067info:eu-repo/semantics/openAccessVilla,DanielMontoya,AlejandroCiro,Juan M.eng2019-09-20T00:00:00Zoai:scielo:S0103-65132019000100602Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2019-09-20T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv The electric boat charging problem
title The electric boat charging problem
spellingShingle The electric boat charging problem
Villa,Daniel
Electric boat
Charging decisions
Battery degradation
MILP formulation
title_short The electric boat charging problem
title_full The electric boat charging problem
title_fullStr The electric boat charging problem
title_full_unstemmed The electric boat charging problem
title_sort The electric boat charging problem
author Villa,Daniel
author_facet Villa,Daniel
Montoya,Alejandro
Ciro,Juan M.
author_role author
author2 Montoya,Alejandro
Ciro,Juan M.
author2_role author
author
dc.contributor.author.fl_str_mv Villa,Daniel
Montoya,Alejandro
Ciro,Juan M.
dc.subject.por.fl_str_mv Electric boat
Charging decisions
Battery degradation
MILP formulation
topic Electric boat
Charging decisions
Battery degradation
MILP formulation
description Abstract Paper aims This paper studies a new optimization problem called the Electric Boat Charging Problem (EBCP), which is based on the application of electric mobility in a river transport operation problem. Originality This work pioneers the studies of the electric mobility on the river operations, by proposing the EBCP. This problem includes real features of the electric mobility such as nonlinear charging functions, battery degradation costs, and speed variation. Research method For solving the EBCP, we propose a Mixed-Integer Linear Programming (MILP) formulation. For testing our MILP formulation, we use a set of instances based on a future transport operation. We also analyze the impact of some problem parameters on the objective function, and decision variables. Main findings Our MILP formulation is capable to optimally solve different type of instances in competitive CPU times. The battery capacity and a time limit constraint have and important impact on the objective function and the decision-making variables. Implications for theory and practice We model the EBCP as a MILP formulation. This model allows to optimally solve industrial scale instances. Moreover, using a sensitivity analysis, we unveil that both the battery capacity and the time limit constraint of the EB route are critical parameters.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132019000100602
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-6513.20190067
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
dc.source.none.fl_str_mv Production v.29 2019
reponame:Production
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
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instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
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reponame_str Production
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repository.name.fl_str_mv Production - Associação Brasileira de Engenharia de Produção (ABEPRO)
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