Optimising Energy Consumption for Ferries in Collaboration with Cetasol

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Title Optimising Energy Consumption for Ferries in Collaboration with Cetasol
Summary This project aims at developing data-driven methods to understand ferry operations and optimise enegery consumption
Keywords
TimeFrame Fall 2021
References
Prerequisites
Author
Supervisor Yuantao Fan, Peyman Mashhadi
Level Master
Status Open


The aim of this project is to develop, and investigate the use of, data-driven methods for optimizing energy consumption in maritime transportation. The project is in collaboration with Cetasol, a start-up active in sustainability and was established by Volvo Penta and Qamcom Group. Cetasol has extensive knowledge of marine application and and is currently directing its efforts in industrializing AI-based system to reduce energy consumptions for commercial vessels. Potential research topics in this project includes: (i) incremental learning for energy optimization for less-frequent route; (ii) online transfer learning for energy efficient navigation using Contextual Information; (iii) opertion mode identification and path optimization for marine environment.

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