dc.contributor.author | Δημητρίου, Παρασκευή | el |
dc.contributor.author | Dimitriou, Paraskefi | en |
dc.date.accessioned | 2024-02-21T08:10:17Z | |
dc.date.available | 2024-02-21T08:10:17Z | |
dc.identifier.uri | https://dspace.lib.ntua.gr/xmlui/handle/123456789/58936 | |
dc.identifier.uri | http://dx.doi.org/10.26240/heal.ntua.26632 | |
dc.description | Εθνικό Μετσόβιο Πολυτεχνείο--Μεταπτυχιακή Εργασία. Διεπιστημονικό-Διατμηματικό Πρόγραμμα Μεταπτυχιακών Σπουδών (Δ.Π.Μ.Σ.) “Παραγωγή και Διαχείριση Ενέργειας” | el |
dc.rights | Αναφορά Δημιουργού 3.0 Ελλάδα | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/gr/ | * |
dc.subject | Charging stations | en |
dc.subject | E-mobility | en |
dc.subject | Electric vehicles | en |
dc.title | Βέλτιστος σχεδιασμός σημείων φόρτισης για στόλους ηλεκτρικών οχημάτων εμπορευματικών μεταφορών | el |
dc.title | Optimal Planning of charging stations for fleets of electric vehicles in urban freight transport | en |
heal.type | masterThesis | |
heal.classification | Ηλεκτροκίνηση | el |
heal.language | en | |
heal.access | free | |
heal.recordProvider | ntua | el |
heal.publicationDate | 2023-10-17 | |
heal.abstract | The necessity to reduce emissions in the transport sector has led to the advancement of electromobility. Nowadays, electromobility is developing rapidly in the urban freight transport sector. This helps to reduce the environmental footprint of transport, given the large portion of emissions that originate from the freight transport sector. However, the use of electric vehicle fleets for freight transport has some limitations, such as autonomy, charging delays, and lack of charging infrastructure. In this study, we focus on the problem of finding the optimal locations for charging stations of freight transport vehicles in the urban network. The installation of charging stations is a major issue, as it is necessary to identify the optimal locations of installation points in order to improve the delivery of products and reduce the empty vehicle kilometers driven for charging purposes. This study formulates the charging station location selection problem aiming at minimizing the empty kilometers driven to reach the charging stations, taking into consideration the destinations of truck deliveries. The developed model is an Integer Linear Program (ILP) that can be effectively solved to global optimality for realistic problem instances. Further, this study employs sensitivity analysis to identify specific factors with significant impact on the selected locations of charging stations. Experiments are performed using benchmark instances demonstrating the scalability of our approach and the sensitivity of our solutions to the changes of different factors. | en |
heal.advisorName | Γκιοτσαλίτης, Κωνσταντίνος | el |
heal.committeeMemberName | Ριζιώτης, Βασίλειος | el |
heal.committeeMemberName | Καρώνης, Δημήτριος | el |
heal.academicPublisher | Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών | el |
heal.academicPublisherID | ntua | |
heal.numberOfPages | 50 σ. | el |
heal.fullTextAvailability | false |
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