The Electric Riverboat Charging Station Location Problem
Nowadays, the electric mobility is mainly focused on urban areas. However, the use of Photovoltaic-assisted Charging Stations (PVCSs) can contribute to implement the electric mobility in rural areas disconnected from the national grid. Inspired by the new river operations with an Electric Boat (EB),...
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doaj-8b55f5a162994c1a97ad3b13d1910d2e2020-11-30T09:11:20ZengHindawi-WileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/65279246527924The Electric Riverboat Charging Station Location ProblemDaniel Villa0Alejandro Montoya1Aura Maria Herrera2Departamento de Ingeniería de Producción, Universidad EAFIT, Carrera 49 No. 7 Sur-50, Medellín, ColombiaDepartamento de Ingeniería de Producción, Universidad EAFIT, Carrera 49 No. 7 Sur-50, Medellín, ColombiaDepartamento de Ingeniería de Producción, Universidad EAFIT, Carrera 49 No. 7 Sur-50, Medellín, ColombiaNowadays, the electric mobility is mainly focused on urban areas. However, the use of Photovoltaic-assisted Charging Stations (PVCSs) can contribute to implement the electric mobility in rural areas disconnected from the national grid. Inspired by the new river operations with an Electric Boat (EB), we introduce a new location problem named the Electric Riverboat Charging Station Location Problem (ERCSLP). This problem estimates the necessary infrastructure for an EB to be able to perform a round trip. In this case, we decide the location of the PVCSs and the size of the EB battery aiming to minimize the sum of the PVCS and the EB battery costs. In this problem, we include the nonlinear behavior of the charging function and the variation of the solar radiation. For solving this problem, we propose a Mixed-Integer Linear Programming (MILP) formulation. For testing this MILP formulation, we build a set of instances based on real river transport operations that have the potential to migrate to the electric mobility. In our computational experiments, we show that our MILP formulation can find the optimal solution of the instances. Finally, we perform a sensitivity analysis and an economic viability analysis of the electric mobility in these operations.http://dx.doi.org/10.1155/2020/6527924 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Daniel Villa Alejandro Montoya Aura Maria Herrera |
spellingShingle |
Daniel Villa Alejandro Montoya Aura Maria Herrera The Electric Riverboat Charging Station Location Problem Journal of Advanced Transportation |
author_facet |
Daniel Villa Alejandro Montoya Aura Maria Herrera |
author_sort |
Daniel Villa |
title |
The Electric Riverboat Charging Station Location Problem |
title_short |
The Electric Riverboat Charging Station Location Problem |
title_full |
The Electric Riverboat Charging Station Location Problem |
title_fullStr |
The Electric Riverboat Charging Station Location Problem |
title_full_unstemmed |
The Electric Riverboat Charging Station Location Problem |
title_sort |
electric riverboat charging station location problem |
publisher |
Hindawi-Wiley |
series |
Journal of Advanced Transportation |
issn |
0197-6729 2042-3195 |
publishDate |
2020-01-01 |
description |
Nowadays, the electric mobility is mainly focused on urban areas. However, the use of Photovoltaic-assisted Charging Stations (PVCSs) can contribute to implement the electric mobility in rural areas disconnected from the national grid. Inspired by the new river operations with an Electric Boat (EB), we introduce a new location problem named the Electric Riverboat Charging Station Location Problem (ERCSLP). This problem estimates the necessary infrastructure for an EB to be able to perform a round trip. In this case, we decide the location of the PVCSs and the size of the EB battery aiming to minimize the sum of the PVCS and the EB battery costs. In this problem, we include the nonlinear behavior of the charging function and the variation of the solar radiation. For solving this problem, we propose a Mixed-Integer Linear Programming (MILP) formulation. For testing this MILP formulation, we build a set of instances based on real river transport operations that have the potential to migrate to the electric mobility. In our computational experiments, we show that our MILP formulation can find the optimal solution of the instances. Finally, we perform a sensitivity analysis and an economic viability analysis of the electric mobility in these operations. |
url |
http://dx.doi.org/10.1155/2020/6527924 |
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