A review of ship fuel consumption models

A Fan, J Yang, L Yang, D Wu, N Vladimir - Ocean engineering, 2022 - Elsevier
The ship fuel consumption (SFC) model is crucial for research on ship energy efficiency
simulation, optimisation, and carbon emission prediction. In this study, the bibliometric tool …

A comprehensive review on the prediction of ship energy consumption and pollution gas emissions

K Wang, J Wang, L Huang, Y Yuan, G Wu, H Xing… - Ocean …, 2022 - Elsevier
Ship energy consumption and emission prediction are critical for ship energy efficiency
management and pollution gas emission control, both of which are major concerns for the …

[HTML][HTML] An adaptive hyper parameter tuning model for ship fuel consumption prediction under complex maritime environments

T Zhou, Q Hu, Z Hu, R Zhen - Journal of Ocean Engineering and Science, 2022 - Elsevier
An accurate prediction of ship fuel consumption is critical for speed, trim, and voyage
optimisation etc. While previous studies have focused on predicting ship fuel consumption …

[HTML][HTML] Enabling digital twins in the maritime sector through the lens of AI and industry 4.0

D Kaklis, I Varlamis, G Giannakopoulos… - International Journal of …, 2023 - Elsevier
Sustainability and environmental compliance in ship operations is a prominent research
topic as the waterborne sector is obliged to adopt” green” mitigation strategies towards a low …

Predicting VLCC fuel consumption with machine learning using operationally available sensor data

C Papandreou, A Ziakopoulos - Ocean Engineering, 2022 - Elsevier
In the maritime industry, more accurate predictions of fuel oil consumption (FOC) could yield
multidimensional results including more precise bunker calculations, emission reductions …

[HTML][HTML] Data-driven model assessment: A comparative study for ship response determination

A La Ferlita, J Ley, Y Qi, TE Schellin, E Di Nardo… - Ocean …, 2024 - Elsevier
Several machine learning approaches to determine ship responses via data-driven models
have been applied. Input features and parameters used relied on time-series analyses …

Prediction of a ship's operational parameters using artificial intelligence techniques

K Alexiou, EG Pariotis, TC Zannis… - Journal of Marine Science …, 2021 - mdpi.com
The maritime industry is one of the most competitive industries today. However, there is a
tendency for the profit margins of shipping companies to reduce due to an increase in …

A Data-Driven Approach for Generator Load Prediction in Shipboard Microgrid: The Chemical Tanker Case Study

T Uyanık, NNA Bakar, Ö Kalenderli, Y Arslanoğlu… - Energies, 2023 - mdpi.com
Energy efficiency and operational safety practices on ships have gained more importance
due to the rules set by the International Maritime Organization in recent years. While …

Improving ship energy efficiency: Models, methods, and applications

R Yan, D Yang, T Wang, H Mo, S Wang - Applied Energy, 2024 - Elsevier
Maritime transportation is the backbone of global trade, as ships carry over 80% of trading
goods worldwide. As the shipping industry is mainly powered by heavy fuel oil, it has an …

Online training for fuel oil consumption estimation: A data driven approach

D Kaklis, I Varlamis, G Giannakopoulos… - 2022 23rd IEEE …, 2022 - ieeexplore.ieee.org
Estimating the Fuel Oil Consumption (FOC) of a vessel is a critical task for the maritime
industry, affecting route planning and the overall management of the vessel's operation and …