Results 51 to 60 of about 4,220,365 (165)

Numerical study on the hydrodynamic drag force of a container ship model

Alexandria Engineering Journal, 2019
In recent years, importance has been recognized increasingly for the reduction of fuel consumption of ships in a seaway to reduce green-house gas emissions from shipping.
Ahmed G. Elkafas, Mohamed M. Elgohary, Akram E. Zeid   +2 more
doaj   +1 more source

DenseNet-Enabled Intelligent Ship Energy Consumption Prediction Method with Navigation Information and Environmental Factors

Machines
As a crucial procedure, ship energy consumption prediction is of great significance for the implementation of navigation planning, energy efficiency improvement, and emission reduction strategies. Currently, various studies have been conducted, primarily
Gulashan Tang, Rui Luo, Bin Huang, Xiang Li, Hui Ma   +4 more
doaj   +1 more source

Life Cycle Assessment Method for Ship Fuels Using a Ship Performance Prediction Model and Actual Operation Conditions—Case Study of Wind-Assisted Cargo Ship

Energies
Although wind-assisted ship propulsion (WASP) is an effective technique for reducing the emissions of merchant ships, the best fuel type for complementing WASP remains an open question.
Mohammad Hossein Arabnejad, Fabian Thies, Hua-Dong Yao, Jonas W. Ringsberg   +3 more
doaj   +1 more source

Optimal operational method for hybrid propulsion ships using operation data

International Journal of Naval Architecture and Ocean Engineering
With the recent tightening of greenhouse gas (GHG) reduction targets by the International Maritime Organization (IMO), there is a growing need for data-driven energy management and operation planning for ships.
Yoon-Gyu Jang, Ki-Su Kim
doaj   +1 more source

Ship Voyage Route Waypoint Optimization Method Using Reinforcement Learning Considering Topographical Factors and Fuel Consumption

Journal of Marine Science and Engineering
As the IMO and the EU strengthen carbon emission regulations, eco-friendly voyage planning is increasingly recognized by ship owners as one of the most important performance factors of the vessel fleet.
Juhyang Lee, Youngseo Park, Jeongon Eom, Hungyu Hwang, Sewon Kim   +4 more
doaj   +1 more source

Auto Machine Learning for predicting Ship Fuel Consumption

, 2018
In recent years, machine learning has evolved in a fast pace as both algorithms and computing power are constantly improving. In this study, a machine learning model for predicting the fuel oil consumption from engine data has been developed for a cruise ship operating in the Baltic Sea.
Ahlgren, Fredrik, Thern, Marcus
openaire   +1 more source

Effect of Propeller Face Camber Ratio on the Reduction of Fuel Consumption

Journal of Marine Science and Engineering
This paper presents the effect of the face camber ratio (FCR) on propeller performance, cavitation, and fuel consumption of a bulk carrier in calm water.
Mina Tadros, Zehao Sun, Weichao Shi
doaj   +1 more source

A semi-empirical operational performance prediction for anchor handling tug supply (AHTS) vessel [PDF]

BIO Web of Conferences
Speed reduction is a practice way for the ship operator to increase efficiency and reduce Green House Gas (GHG) emission in the shipping industry. In this paper, using Kwon’s method to predict the added resistance caused by wave and wind for specific ...
Syafiuddin, Yuli Arianto Pratama
doaj   +1 more source

An Investigation of Intelligent Approaches in Ship Energy Efficiency Assessment

Journal of Marine Science and Engineering
With the adoption of more ambitious emission reduction strategies in the shipping industry by the International Maritime Organization and the resulting stricter greenhouse gas emission reduction requirements, it is particularly important for all ...
Nan Si, Gong Chen, Jingbo Yin
doaj   +1 more source

Waypoint-Sequencing Model Predictive Control for Ship Weather Routing Under Forecast Uncertainty

Journal of Marine Science and Engineering
Ship weather routing optimization has evolved from deterministic great-circle navigation to sophisticated frameworks that account for dynamic environmental conditions and operational constraints. This paper presents a waypoint-sequencing Model Predictive
Marijana Marjanović, Jasna Prpić-Oršić, Marko Valčić   +2 more
doaj   +1 more source