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.
Authors
- Cristi Irimia
- Mihail Grovu
- Călin Husar (ORCID: https://orcid.org/0009-0008-5789-7361)
- Mathieu Petiteau
- Amine Touat
- Roland Z. Szabó (ORCID: https://orcid.org/0000-0002-7961-1298)
Institutions
- Siemens (Romania) (RO)
- Société du Canal de Provence (FR)
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