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Effectiveness of 2D optimization algorithms considering voluntary speed reduction under uncertain metocean conditions
- Source :
- Ocean Engineering
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Ship voyage optimization systems are widely used in today's ocean-crossing ships to consider a ship's sailing safety and energy efficiency. Large uncertainties from the inputs of today's voyage optimization algorithms can reduce the reliability of voyage optimization systems, especially for more complex algorithms that involve more control variables in the optimization. This study first proposes a speed optimization algorithm, which considers the voluntary speed reduction for a ship voyage with fixed trajectories. Then, the capability of the proposed speed optimization method is investigated by comparing with conventional voyage planning methods that optimize a ship's sailing courses/trajectories. In particular, the effectiveness of handling uncertain inputs during the optimization process, such as ship speed-power performance models, metocean forecasts, is investigated for the two types of voyage optimization methods. Finally, the benefits of potential fuel saving are studied by incorporating this proposed algorithm for a ship's slow steaming strategies.
- Subjects :
- Mathematical optimization
Passage planning
Environmental Engineering
Metocean
Slow steaming
Computer science
Process (engineering)
Reliability (computer networking)
Control variable
020101 civil engineering
Ocean Engineering
02 engineering and technology
7. Clean energy
01 natural sciences
GeneralLiterature_MISCELLANEOUS
010305 fluids & plasmas
0201 civil engineering
0103 physical sciences
Fuel efficiency
Efficient energy use
Subjects
Details
- ISSN :
- 00298018
- Volume :
- 200
- Database :
- OpenAIRE
- Journal :
- Ocean Engineering
- Accession number :
- edsair.doi.dedup.....f57e4088355b626df7e381160bf3d656