Effectiveness of 2D optimization algorithms considering voluntary speed reduction under uncertain metocean conditions. (15th March 2020) - Wang, Helong
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. Highlights: The uncertainties of weather information and ship performance models have great impacts on ship voyage optimizations. A voyage optimization method for voluntary speed reduction is proposed to compensate weather uncertainties. For long voyages with harsh and uncertain weather environments, speed optimizations work better than course optimizations. Slow steaming operations are widely used today, but it should be assisted with voyage optimizations for more fuel-savings. The proposed speed optimization method is validated by comparing with actual sailings and other voyage planning methods.