Fuel Consumption Minimization Procedure of Sail-assisted Motor Vessel based on a Systematic Meshing of the Explored Area
CHALLENGE - In this paper an original and efficient tool is proposed to provide a sea transport route that minimizes the fuel consumption in a limited or optimum time for a sail-assisted motor vessel. The presented model considers meteorological conditions, the sea-state and the vessel characteristics.
SOLUTION - A numerical optimization of westbound north Atlantic route between Brest [-5.33 48]° and New York [-68.08 41.78]° is chosen to illustrate optimal weather routing benefits for sail-assisted sea transport. Objectives are Estimated Fuel Consumption (EFC) and Estimated Time of Sailing (EST). The meshing of the explored area and the construction of routes are presented. The journey simulation is used to inspect the validity and the benefits of the proposed weather-routing method. The optimization algorithm chosen is the Multi-Objective Genetic Algorithm (MOGA) available in modeFRONTIER.
BENEFITS - Of the optimal solutions of the motor vessel, route 3 is identified as being the best route to minimize the EFC while respecting the constraint on ETS fixed at 200 h, as depicted in the figure above. The optimal route tries to avoid rough sea conditions while keeping the sailed distance as low as possible. The motor vessel has crossed a longer distance since the optimization loop tries to get the most efficient direction of relative wind besides avoiding areas of high waves.