Optimizing Cruise Ship Speed Incorporating Weather and Hotel Load Factors

Arash Marashian, Axel Waris, Abolhassan Razminia, Jari Böling, Teemu Manderbacka, Roberto Vettor, Janne Huotari, Wilhelm Gustafsson, Mathias Pirttikangas, Claus Stigler, Jerker Björkqvist, Mikael Manngård

Research output: Chapter in Book/Conference proceedingConference contributionScientificpeer-review

Abstract

In this paper, real-time weather and ship data will be used for mathematical modeling and cruise ship speed optimization. The ship data will be used for the construction of prediction models for hotel and auxiliary power consumption. Two different prediction model types will be compared: a simple polynomial model with linear parameters, as well as an artificial neural network. The effect of the ship's speed will be predicted using voyage optimization software, which takes into account weather and sea forecasts as well as the ship's hydrodynamic properties, for calculation of the required propulsion power as a function of speed. Total predicted power demand will be finally converted to fuel consumption, using information about the engine efficiencies. Furthermore, the associated cost will be attached to the edges of a graph, from which an optimal speed profile will be selected using dynamic programming. The performance of the models will be compared, and it is found that more than 3% of fuel savings are reported using both model types for the studied voyage.

Original languageEnglish
Title of host publication2024 European Control Conference, ECC 2024
Publisherthe Institute of Electrical and Electronics Engineers, Inc.
Pages1642-1647
Number of pages6
ISBN (Electronic)9783907144107
DOIs
Publication statusPublished - 2024
MoE publication typeA4 Article in a conference publication
Event2024 European Control Conference, ECC 2024 - Stockholm, Sweden
Duration: 25 Jun 202428 Jun 2024

Publication series

Name2024 European Control Conference, ECC 2024

Conference

Conference2024 European Control Conference, ECC 2024
Country/TerritorySweden
CityStockholm
Period25/06/2428/06/24

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