Χρήση μηχανικής μάθησης για την εκτίμηση της κατανάλωσης καυσίμου και των εκπομπών CO2 ενός πλοίου Newcastlemax σε πραγματικές συνθήκες

Γκίκας, Δημήτριος

Master Thesis

Author

Γκίκας, Δημήτριος

Date

2025-04-15

Abstract

In this thesis, Random Forest Regression, a machine learning technique, was utilised as the optimal method for the available data. This approach involved the utilisation of measurements from historical data concerning a Newcastlemax type vessel to develop a model for the estimation of main engine fuel consumption and CO2 emissions under realistic sailing conditions. In particular, the data were used for 14 voyages in different loading and sea states. In conclusion, using a Python environment, models were created to estimate consumption and hence CO2 emissions using both maximum and minimum possible data, i.e. data that could be obtained from a database (weather provider).

Postgraduate Studies Programme

ΔΠΜΣ στη Διοίκηση στη Ναυτική Επιστήμη και Τεχνολογία

Department

Σχολή Ναυτιλίας και Βιομηχανίας. Τμήμα Ναυτιλιακών Σπουδών

Corporate Department

Σχολή Ναυτικών Δοκίμων

Number of pages

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/17673

Collections

Τμήμα Ναυτιλιακών Σπουδών

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Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα