Results 21 to 30 of about 974 (205)
An Energy Management System of a Fuel Cell/Battery Hybrid Boat [PDF]
All-electric ships are now a standard offering for energy/propulsion systems in boats. In this context, integrating fuel cells (FCs) as power sources in hybrid energy systems can be an interesting solution because of their high efficiency and low ...
HAN, Jingang +5 more
core +1 more source
Meteorological shipping route decision-making system based on BP neural network
ObjectiveIn response to international fuel oil price fluctuations and the need to reduce greenhouse gas emissions, a meteorological shipping route decision-making system based on an BP neural network is proposed for ship managers to improve their ship ...
Daheng ZHANG +2 more
doaj +1 more source
Simplified calculation of friction mean effective pressure for fast simulation of fuel consumption
An environmentally friendly and economical ship operation can be accomplished through many different methods. Most of these approaches focus on technological solutions, e.g.
Georg Finger
doaj +1 more source
Impact of Hull Condition and Propeller Surface Maintenance on Fuel Efficiency of Ocean-Going Vessels
The fuel consumption of marine diesel engines holds paramount importance in contemporary maritime transportation and shapes energy efficiency strategies of ocean-going vessels.
Tien Anh Tran, Do Kyun Kim
doaj +1 more source
As an effective way to achieve energy conservation and emission reduction, the speed optimization of inland ships has received increasing attention. In this study, a modeling method for the speed optimization of inland ships sailing on the Yangtze River ...
Longhui Zhang +4 more
doaj +1 more source
A comprehensive review on the prediction of ship energy consumption and pollution gas emissions [PDF]
Ship energy consumption and emission prediction are critical for ship energy efficiency management and pollution gas emission control, both of which are major concerns for the shipping industry and hence continue to attract global attention and research ...
Wang, Jianhang (author) +8 more
core +1 more source
Self-labelling of tugboat operation using unsupervised machine learning and intensity indicator
The actual operational data, such as a time sequence of fuel consumption and speed, is usually unlabeled or not associated with a specific activity like tugging or cruising.
Januwar Hadi +2 more
doaj +1 more source
Fuel Consumption Prediction Models Based on Machine Learning and Mathematical Methods
An accurate fuel consumption prediction model is the basis for ship navigation status analysis, energy conservation, and emission reduction. In this study, we develop a black-box model based on machine learning and a white-box model based on mathematical
Xianwei Xie +5 more
doaj +1 more source
The demands for lower Energy Efficiency Operational Index (EEOI) reflect the requirements of international conventions for green shipping. Within this context it is believed that practical solutions for the dynamic optimization of a ship’s main ...
Chao Sun, Haiyan Wang, Chao Liu, Ye Zhao
doaj +1 more source
Corporate Decarbonization via Technology and Management
ABSTRACT This study provides a comprehensive overview of key findings on decarbonization, advanced technologies, and management strategies, highlighting emerging themes shaping the field. Advanced technologies enhance carbon reduction through efficiency, real‐time monitoring, and optimizing resource optimization.
Heidy Montero‐Teran +2 more
wiley +1 more source

