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Comparative study of machine learning techniques to predict fuel consumption of a marine diesel engine
The motivation of this study is to compare four different machine learning algorithms which
are support vector regression, multiple linear regression, J48 pruned tree, and M5 Rules, to …
are support vector regression, multiple linear regression, J48 pruned tree, and M5 Rules, to …
A comprehensive feasibility analysis of dual-fuel engines and solid oxide fuel cells on a tanker ship considering environmental, economic, and regulation aspects
The paper aims to assess if liquefied natural gas (LNG)-dual-fuel (DF) engines as main
engine solid oxide fuel cells (SOFCs), and waste heat recovery systems (WHRS) as auxiliary …
engine solid oxide fuel cells (SOFCs), and waste heat recovery systems (WHRS) as auxiliary …
[HTML][HTML] Prediction of diesel generator performance and emissions using minimal sensor data and analysis of advanced machine learning techniques
To this day, diesel generator (DG) continues to play an indispensable role in all industries
and smart engines and engines with eco-friendly technologies are being developed …
and smart engines and engines with eco-friendly technologies are being developed …
[HTML][HTML] Antarctic shipborne tourism: Carbon emission and mitigation path
G Li, W Li, Y Dou, Y Wei - Energies, 2022 - mdpi.com
The rapidly increasing concentrations of carbon dioxide lead to a threat of global climate
change. As one of the major sources of carbon emissions in the Antarctic region, shipborne …
change. As one of the major sources of carbon emissions in the Antarctic region, shipborne …
Modelling of a cargo oil pump turbine system to find the optimum pump operation capacities through the design of experiments approaches
This study aims to thoroughly understand and analyze the Cargo Oil Pump Turbine (COPT)
system on tanker ships through thermodynamic and numerical simulations. The goal is to …
system on tanker ships through thermodynamic and numerical simulations. The goal is to …
A probabilistic assessment of ship blackout incident with Fault Tree Analysis into (FTA) Bayesian Network (BN)
Blackouts in maritime activities can cause propulsion loss and dangerous maritime
conditions. Bayesian risk analysis is applied to ship blackout incidents in this study to …
conditions. Bayesian risk analysis is applied to ship blackout incidents in this study to …
Multi-Dimensional Global Temporal Predictive Model for Multi-State Prediction of Marine Diesel Engines.
L Ma, S Chen, S Jia, Y Zhang… - Journal of Marine …, 2024 - search.ebscohost.com
The reliability and stability of marine diesel engines are pivotal to the safety and economy of
maritime operations. Accurate and efficient prediction of the states of these engines is …
maritime operations. Accurate and efficient prediction of the states of these engines is …
Environmental and economic analysis of cold ironing using renewable hybrid systems
This paper investigates shore-based photovoltaic (PV)/proton exchange membrane fuel cell
(PEMFC) and PV/battery renewable energy (RE) plants for cold ironing (CI) configurations …
(PEMFC) and PV/battery renewable energy (RE) plants for cold ironing (CI) configurations …
Energy Management in Multi-Source Power System Based on PV/Wind/Batteries/Diesel Generator Connected with the Grid
Renewable Energy Resources represent the most optimal approaches available today to
combat the ever-increasing risks of climate change and global warming. Among the most …
combat the ever-increasing risks of climate change and global warming. Among the most …
Towards Alternative Energy Ship's Design: Sensors' Energy Efficiency in Switchgears
This paper addresses the possibilities of energy savings aboard ships. It deals with part of
electrical equipment, switchboard sensors in particular. Parameters that influence …
electrical equipment, switchboard sensors in particular. Parameters that influence …