Results 241 to 250 of about 161,026 (284)

Advanced Porous Materials for Maritime Carbon Capture. [PDF]

open access: yesAdv Mater
Festus K   +6 more
europepmc   +1 more source

A review of ship fuel consumption models

Ocean Engineering, 2022
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 CiteSpace was used to conduct a literature review on SFC models. Based on the review, it was concluded that the current SFC models can be classified into three types ...
Ailong Fan, Nikola Vladimir, Da Wu
exaly   +4 more sources

Ship Fuel Consumption Prediction

2025 4th International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
Fuel Consumption (FC) is a major concern for the maritime industry, as ships are heavy consumers of fuel. Fuel cost is expensive, so predicting FC reduce the operating cost.
Lokith Babu S   +3 more
openaire   +2 more sources

Machine learning approach to ship fuel consumption: A case of container vessel

Transportation Research, Part D: Transport and Environment, 2020
An improvement of the marine vessel's fuel consumption will provide efficiency and profitability in ship management since fuel cost is one of the biggest operating cost.
Caglar Karatuğ   +2 more
exaly   +2 more sources

Optimizing ship speed to minimize fuel consumption

Transportation Letters, 2014
Owing to high fuel costs and environmental regulations, the optimization of ship speed to minimize fuel consumption and reduce carbon emissions has become a hot issue in the maritime industry. In this paper, we study the sailing speed optimization problem for a ship operating on a route having a specified sequence of calling ports with time windows for
Jae-Gon Kim   +2 more
exaly   +3 more sources

Ship fuel consumption prediction based on transfer learning: Models and applications

Engineering Applications of Artificial Intelligence
Data-driven fuel consumption rate (FCR) prediction models largely depend on the amount of training data, which can be scarce for new ships with limited operating time. To tackle this issue, we implement three transfer learning strategies to leverage knowledge from another seven container ships to construct artificial neural network (ANN)-based FCR ...
Xi Luo   +4 more
openaire   +3 more sources

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