Effectiveness of 2D optimization algorithms considering voluntary speed reduction under uncertain metocean conditions
Journal article, 2020

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.

Great circle routes

Fuel consumption

Voluntary speed reduction

Metocean forecast uncertainties

Voyage optimization

Author

Helong Wang

Chalmers, Mechanics and Maritime Sciences, Marine Technology

Xiao Lang

Chalmers, Mechanics and Maritime Sciences, Marine Technology

Wengang Mao

Chalmers, Mechanics and Maritime Sciences, Marine Technology

Di Zhang

Wuhan University of Technology

Gaute Storhaug

DNV GL AS

Ocean Engineering

0029-8018 (ISSN)

Vol. 200 107063

Subject Categories

Marine Engineering

Control Engineering

Signal Processing

DOI

10.1016/j.oceaneng.2020.107063

More information

Latest update

2/24/2020