A review of ship fuel consumption models
The ship fuel consumption (SFC) model is crucial for research on ship energy efficiency
simulation, optimisation, and carbon emission prediction. In this study, the bibliometric tool …
simulation, optimisation, and carbon emission prediction. In this study, the bibliometric tool …
[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring
Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
decades due to the rapid evolution of novel sensing and data transfer technologies. This …
[HTML][HTML] A deep learning method for the prediction of ship fuel consumption in real operational conditions
In recent years, the European Commission and the International Maritime Organization
(IMO) implemented various operational measures and policies to reduce ship fuel …
(IMO) implemented various operational measures and policies to reduce ship fuel …
Green development of the maritime industry: Overview, perspectives, and future research opportunities
T Wang, P Cheng, L Zhen - Transportation Research Part E: Logistics and …, 2023 - Elsevier
Maritime industry is the artery of the global economy since it carries around 90% of the
volume of global trade. However, the fierce environmental problems associated with human …
volume of global trade. However, the fierce environmental problems associated with human …
Berth allocation and quay crane assignment considering the adoption of different green technologies
To reduce vessel emissions, various green technologies have been proposed, such as
switching fuel oil, using scrubbers, and implementing shore side electricity (SSE). Based on …
switching fuel oil, using scrubbers, and implementing shore side electricity (SSE). Based on …
[HTML][HTML] Shore power for reduction of shipping emission in port: A bibliometric analysis
Shore power not only reduces ship emissions and noise in berthing but also has shown
practical implications for maritime competitiveness. However, the existing literature and …
practical implications for maritime competitiveness. However, the existing literature and …
[HTML][HTML] Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review
Abstract Automatic Identification System (AIS) data holds immense research value in the
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …
[HTML][HTML] Data fusion and machine learning for ship fuel efficiency modeling: Part II–Voyage report data, AIS data and meteorological data
When voyage report data is utilized as the main data source for ship fuel efficiency analysis,
its information on weather and sea conditions is often regarded as unreliable. To solve this …
its information on weather and sea conditions is often regarded as unreliable. To solve this …
Speed optimization of container ship considering route segmentation and weather data loading: Turning point-time segmentation method
X Li, B Sun, J Jin, J Ding - Journal of Marine Science and Engineering, 2022 - mdpi.com
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 …
emission reduction potential, ship speed optimization has been recommended by the …
[HTML][HTML] Data fusion and machine learning for ship fuel efficiency modeling: Part III–Sensor data and meteorological data
Sensors installed on a ship return high quality data that can be used for ship bunker fuel
efficiency analysis. However, important information about weather and sea conditions the …
efficiency analysis. However, important information about weather and sea conditions the …