A model for selecting the most suitable renewable source of energy on vessels using Bayesian networks

The International Maritime Organization (IMO) is introducing increasingly strict controls in several aspects of maritime transport with the aim of preserving the environment. Various technologies are proposed and applied that reduce the emission of greenhouse gases. One of the approaches is the application of renewable energy sources RES. However, RES are not equally suitable for all types of ships sailing in different geographical areas. The flow diagram in the process of making a decision on the selection of the type of RES is proposed. This paper presents a model for selecting the most suitable RES on vessels. Furthermore, the optimal solution is selected using Bayesian networks. All significant parameters that influence the selection of the optimal solution can be taken into account and are elaborated individually.

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Publication Details

Journal
Environmental engineering
Published
2025-03-27
DOI
https://doi.org/10.37023/ee.11.1-2.6
Primary Topic
Maritime Transport Emissions and Efficiency
Type
article
Field-Weighted Citation Impact
0.00
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article

A model for selecting the most suitable renewable source of energy on vessels using Bayesian networks

Maja Krčum, Grgo Kero, Tomislav Peša
Environmental engineering
Maritime Transport Emissions and Efficiency
article

A model for selecting the most suitable renewable source of energy on vessels using Bayesian networks

Maja Krčum, Grgo Kero, Tomislav Peša
article en

Abstract

The International Maritime Organization (IMO) is introducing increasingly strict controls in several aspects of maritime transport with the aim of preserving the environment. Various technologies are proposed and applied that reduce the emission of greenhouse gases. One of the approaches is the application of renewable energy sources RES. However, RES are not equally suitable for all types of ships sailing in different geographical areas. The flow diagram in the process of making a decision on the selection of the type of RES is proposed. This paper presents a model for selecting the most suitable RES on vessels. Furthermore, the optimal solution is selected using Bayesian networks. All significant parameters that influence the selection of the optimal solution can be taken into account and are elaborated individually.

Environmental engineeringVol. 11(1-2)
California Maritime Academy (US), Ministry of Health (HR), University of Split (HR)
Openalex Percentile: Top 94%
Maritime Transport Emissions and Efficiency
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A model for selecting the most suitable renewable source of energy on vessels using Bayesian networks — Maja Krčum, Grgo Kero, et al. · Environmental engineering (2025) | TGRS Research Map | TGRS