Hybrid Ship Fuel Consumption Prediction Through Operational Performance Simulation

The maritime industry's imperative to optimize fuel consumption and reduce environmental impact necessitates the development of advanced predictive models for ship operational performance. This paper presents an approach to address this challenge through the integration of hybrid modeling techniques and Siemens Simcenter Amesim software. The primary objective is to develop a hybrid ship functional model capable of accurately predicting fuel consumption across diverse seaway scenarios.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/esars-itec60450.2024.10819822
Citations
2
Primary Topic
Maritime Transport Emissions and Efficiency
Type
article
Field-Weighted Citation Impact
0.41
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article

Hybrid Ship Fuel Consumption Prediction Through Operational Performance Simulation

Cristi Irimia, Mihail Grovu, Călin Husar, Mathieu Petiteau et al.
2 citations
Maritime Transport Emissions and Efficiency
0.41
article

Hybrid Ship Fuel Consumption Prediction Through Operational Performance Simulation

Cristi Irimia, Mihail Grovu, Călin Husar, Mathieu Petiteau, Amine Touat, Roland Z. Szabó
article en
2 citations

Abstract

The maritime industry's imperative to optimize fuel consumption and reduce environmental impact necessitates the development of advanced predictive models for ship operational performance. This paper presents an approach to address this challenge through the integration of hybrid modeling techniques and Siemens Simcenter Amesim software. The primary objective is to develop a hybrid ship functional model capable of accurately predicting fuel consumption across diverse seaway scenarios.

Siemens (Romania) (RO), Société du Canal de Provence (FR)
Affordable and clean energy
Openalex Percentile: Top 39%
Maritime Transport Emissions and Efficiency
0.41
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Hybrid Ship Fuel Consumption Prediction Through Operational Performance Simulation — Cristi Irimia, Mihail Grovu, et al. · (2024) | TGRS Research Map | TGRS