Paper
23 November 2022 Ship energy-saving route planning based on dynamic fuel consumption model
Jialei Wang, Liangxiong Dong
Author Affiliations +
Proceedings Volume 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022); 123023F (2022) https://doi.org/10.1117/12.2645621
Event: Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 2022, Guangzhou, China
Abstract
Based on the analysis of ship navigation big data, it reveals the drawbacks of the ship route management mode based on the shortest path planning, and deeply combines the ship energy efficiency management and route management to find real-time dynamic energy-saving routes for sailing ships. The system can consider the energy efficiency of ships in dynamic sea environment, build a sea grid environment with fuel consumption model, and execute an improved ant colony algorithm to plan energy-saving trajectories for ships, so as to achieve energy saving and emission reduction. The system is able to plan an energy-efficient trajectory for a ship, thus achieving energy saving and emission reduction.
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Jialei Wang and Liangxiong Dong "Ship energy-saving route planning based on dynamic fuel consumption model", Proc. SPIE 12302, Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022), 123023F (23 November 2022); https://doi.org/10.1117/12.2645621
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KEYWORDS
Raster graphics

Wind energy

Energy efficiency

Coastal modeling

Computer simulations

Analytical research

Motion models

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