Results 41 to 50 of about 4,440,808 (167)

Comparative analysis on the fuel consumption prediction model for bulk carriers from ship launching to current states based on sea trial data and machine learning technique

Journal of Ocean Engineering and Science, 2021
MARPOL 73/78, Chapter IV is considered to reveal the emission control engineering on ships. The probability model of the fuel oil consumption is established based on the machine learning technique.
Tien Anh Tran
doaj   +1 more source

Investigating Fuel Injection Strategies to Enhance Ship Energy Efficiency in Wave Conditions

Polish Maritime Research
The prediction of fuel consumption and resulting transportation costs is a crucial stage in ship design, particularly for conditions involving motion in waves.
Ghaemi Hossein, Zeraatgar Hamid, Barjasteh Mojtaba   +2 more
doaj   +1 more source

Forecasting Transient Fuel Consumption Spikes in Ships: A Hybrid DGM-SVR Approach

Eng
Accurate prediction of ship fuel consumption is essential for improving energy efficiency, optimizing mission planning, and ensuring operational integrity at sea.
Junhao Chen, Yan Peng
doaj   +1 more source

VLCC’s fuel consumption prediction modeling based on noon report and automatic identification system

Cogent Engineering, 2019
It is extremely important for fuel saving by taking the correct decisions where cost efficiency and environmental friendliness are top priorities. The fuel consumption rate of the ship is influenced by many parameters, such as average daily sailing speed,
Ali Akbar Safaei, Hassan Ghassemi, Mahmoud Ghiasi   +2 more
doaj   +1 more source

Research on the Impact of Local Hull Roughness on Resistance and Energy Consumption Based on CFD and Ship Operation Data

Journal of Marine Science and Engineering
Regarding the impact of hull roughness on ship resistance and propulsive performance, most existing studies rely heavily on numerical hulls or simplified models, while systematic analysis focusing on the heterogeneous roughness of actual ships remains ...
Xiangming Zeng, Xiaofan Guo, Anpeng Yin
doaj   +1 more source

Prediction of harbour vessel fuel consumption based on machine learning approach

, 2023
Fuel consumption influences both the economic and environmental perspectives of shipping. With the help of machine learning, meaningful knowledge and complex relationships can be extracted from high-dimensional historical data.
Lam, Jasmine Siu Lee, Jasmine Siu Lee Lam, Zengqi Xiao, Zhong Shuo Chen, Chen, Zhong Shuo, Xiao, Zengqi   +5 more
core   +1 more source

Ship fuel consumption prediction and speed optimization under weather forecast uncertainty using ensemble forecasts

Results in Engineering
Optimizing vessel speed is an effective method for reducing fuel consumption and emissions in shipping, and an accurate prediction of fuel consumption is essential for generating effective speed strategies.
Jinfeng Zhang, Rundi Sun, Weihao Ma
doaj   +1 more source

Analysis of attention mechanisms for the prediction of ship fuel oil consumption [PDF]

Carbon Dioxide (CO2) remains the dominant contributor to climate change in shipping with Heavy Fuel Oil (HFO) prevailing as the most significant fuel utilised in maritime transportation globally.
Velasco-Gallego, Christian, Lazakis, Iraklis, Polaki, Vedanjali   +2 more
openaire   +2 more sources

Ship Emission Mitigation Strategies Choice Under Uncertainty

Energies, 2020
Various mitigation strategies have been proposed to reduce the CO2 emissions from ships, which have become a major contributor to global emissions. The fuel consumption under different mitigation strategies can be evaluated based on two data sources ...
Jun Yuan, Haowei Wang, Szu Hui Ng, Victor Nian   +3 more
doaj   +1 more source

FUELSIGHT: MODEL FOR PREDICTING SHIP FUEL CONSUMPTION AND PROVIDING EXPLANATIONS

Vodnij transport
The ability to predict ship fuel consumption is fundamental to improving the efficiency and sustainability of maritime operations. Existing approaches predominantly focus on predictive accuracy while overlooking interpretability, thereby limiting their practical applicability for operational decision-making.
Eduard Appazov, Pavlo Kochubei
openaire   +1 more source