Results 21 to 30 of about 161,026 (284)

Calculation Method of Marine Ship Fuel Consumption

IOP Conference Series: Earth and Environmental Science, 2020
Abstract Based on the current situation of fuel consumption management and technical measures of marine transportation ships in domestic shipping enterprises, this paper determined the calculation model of fuel consumption of marine transportation ships, and provided technical support for shipping enterprises to formulate energy ...
Jing Li, Yuanming Jia
openaire   +2 more sources

On the estimation of ship's fuel consumption and speed curve: A statistical approach

Journal of Ocean Engineering and Science, 2016
When fuel efficiency is at stake, along with the reduction of the environmental foot print of air pollution, a need is presented to estimate a ship's fuel consumption for a forthcoming voyage, and means for decision making and for cost saving. This paper
Nicolas Bialystocki, Dimitris Konovessis
doaj   +3 more sources

Fitting Analysis of Inland Ship Fuel Consumption Considering Navigation Status and Environmental Factors

IEEE Access, 2020
The strategy of ecological priority and green development in China has made the fuel consumption of inland ships receive unprecedented attentions. Reliable fuel consumption prediction is the vital basis of navigation planning, energy supervision, and ...
Zhi Yuan, Jingxian Liu, Yi Liu, Yuan Yuan, Qian Zhang, Zongzhi Li   +5 more
doaj   +2 more sources

Model for Estimation of Fuel Consumption of Cruise Ships [PDF]

Energies, 2018
This article presents a model to estimate the energy use and fuel consumption of cruise ships that sail Norwegian waters. Automatic identification system (AIS) data and technical information about cruise ships provided input to the model, including ...
Morten Simonsen, Hans Jakob Walnum, Stefan Gössling   +2 more
doaj   +2 more sources

An Innovation Machine Learning Approach for Ship Fuel-Consumption Prediction Under Climate-Change Scenarios and IMO Standards

Journal of Marine Science and Engineering
This study introduces an innovative Emotional Artificial Neural Network (EANN) model to predict ship fuel consumption with high accuracy, addressing the challenges posed by complex environmental conditions and operational variability.
Bassam M. Aljahdali, Yazeed Alsubhi, Ayman F. Alghanmi, Hussain T. Sulaimani, Ahmad E. Samman   +4 more
doaj   +2 more sources

Improving Ship Fuel Consumption and Carbon Intensity Prediction Accuracy Based on a Long Short-Term Memory Model with Self-Attention Mechanism

Applied Sciences
The prediction of fuel consumption and Carbon Intensity Index (CII) of ships is crucial for optimizing decarbonization strategies in the maritime industry.
Zhihuan Wang, Tianye Lu, Yi Han, Chunchang Zhang, Xiangming Zeng, Wei Li   +5 more
doaj   +2 more sources

The Analysis of Overall Ship Fuel Consumption in Acceleration Manoeuvre Using Hull-Propeller-Engine Interaction Principles and Governor Features

Polish Maritime Research, 2019
The problem of reduction of greenhouse gas emissions in shipping is currently addressed by many research works and related industries. There are many existing and visionary technologies and ideas, which are conceptually defined or practically realised ...
Zeraatgar Hamid, Ghaemi M. Hossein
doaj   +2 more sources

Ship Trim Optimization for the Reduction of Fuel Consumption

نشریه مهندسی دریا, 2019
Greenhouse gas emissions and atmospheric pollutants, economic savings, as well as alignment with the new rules of the shipping industry's leading is a new concern. In order to meet and achieve these goals, many efforts have been made. In this paper, some
Mohammad Saeid Seif, Alireza Kazemipour
doaj   +1 more source

Innovative approaches to addressing the tradeoff between interpretability and accuracy in ship fuel consumption prediction

Transportation Research Part C: Emerging Technologies, 2023
Lu Zhen, Shuaian Wang, Ran Yan
exaly   +2 more sources

A deep learning method for the prediction of ship fuel consumption in real operational conditions

Engineering Applications of Artificial Intelligence
Mingyang Zhang, Spyros Hirdaris, Pentti Kujala   +2 more
exaly   +2 more sources