Results 31 to 40 of about 161,026 (284)

Speed Optimization of Container Ship Considering Route Segmentation and Weather Data Loading: Turning Point-Time Segmentation Method

open access: yesJournal of Marine Science and Engineering, 2022
As one of the ship energy efficiency optimization measures with the most energy saving and emission reduction potential, ship speed optimization has been recommended by the International Maritime Organization.
Xiaohe Li   +3 more
doaj   +1 more source

Emissions Assessment of Container Ships Sailing under Off-Design Conditions

open access: yesJournal of Marine Science and Engineering, 2023
Maritime transportation is the prevalent mode of transport for overseas freight, and it is frequently recognised as a relatively environmentally sustainable means of transport.
Clara Borén   +2 more
doaj   +1 more source

Fuel Consumption and Emissions of Ocean-Going Cargo Ship with Hybrid Propulsion and Different Fuels over Voyage

open access: yesJournal of Marine Science and Engineering, 2020
Hybrid propulsion and using liquefied natural gas (LNG) as the alternative fuel have been applied on automobiles and some small ships, but research investigating the fuel consumption and emissions over the total voyage of ocean-going cargo ships with a ...
Congbiao Sui   +4 more
doaj   +1 more source

Coupled Engine-Propeller Selection Procedure to Minimize Fuel Consumption at a Specified Speed

open access: yesJournal of Marine Science and Engineering, 2021
This study presents a practical optimization procedure that couples the NavCad power prediction tool and a nonlinear optimizer integrated into the Matlab environment.
Mina Tadros   +3 more
doaj   +1 more source

A Novel Hybrid Fuel Consumption Prediction Model for Ocean-Going Container Ships Based on Sensor Data

open access: yesJournal of Marine Science and Engineering, 2021
Accurate, reliable, and real-time prediction of ship fuel consumption is the basis and premise of the development of fuel optimization; however, ship fuel consumption data mainly come from noon reports, and many current modeling methods have been based ...
Zhihui Hu   +5 more
doaj   +1 more source

Data-aware monitoring method for fuel economy in ship-based CPS

open access: yesIET Cyber-Physical Systems, 2020
With the acceleration of economic globalisation and the rapid development of network communication technology, remote monitoring and the management of ship fuel consumption have received extensive attention.
Yiran Shi   +3 more
doaj   +1 more source

Neural Network Approach for Predicting Ship Speed and Fuel Consumption

open access: yesJournal of Marine Science and Engineering, 2021
In this paper, simulations of a ship travelling on a given oceanic route were performed by a weather routing system to provide a large realistic navigation data set, which could represent a collection of data obtained on board a ship in operation.
Lúcia Moreira   +2 more
doaj   +1 more source

A New Method for Calculating Fuel Consumption by Using Speed Loss Function

open access: yesInternational Journal of Environment and Geoinformatics, 2020
The most important factor affecting fuel consumption is the speed of service. There are many formulas that give the relationship between service speed and fuel consumption. These formulas ignore the weight of the load on the ship or the wind speed.
Kadir MERSİN
doaj   +1 more source

Determination of an economical shipping route considering the effects of sea state for lower fuel consumption

open access: yesInternational Journal of Naval Architecture and Ocean Engineering, 2013
With increases in international oil prices, the proportion of fuel cost to the operational costs of a ship is currently increasing. To reduce fuel cost, a method for determining an economical route for a ship based on the acquisition of the sea state and
Myung-Il Roh
doaj   +1 more source

A Multitask Learning Framework for Predicting Ship Fuel Oil Consumption

open access: yesIEEE Access, 2023
Predicting the ship fuel consumption constitutes a prerequisite for speed, trim, and voyage optimization. In spite of the rise of deep learning and transformers in many domains, research works train shallow machine learning (ML) algorithms for predicting ship fuel oil consumption (FOC).
Loukas Ilias   +3 more
openaire   +2 more sources

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