Fuel saving-oriented 3D dynamic programming for weather routing applications

2016 ◽  
pp. 183-189 ◽  
Author(s):  
R Zaccone ◽  
M Figari ◽  
M Altosole ◽  
E Ottaviani
Keyword(s):  
Dynamic Programming ◽  
Fuel Saving ◽  
Weather Routing

scholarly journals Fuel Saving by Weather Routing : Simulation Using Actual Voyage Data of the Container Ship

2004 ◽  
Vol 111 (0) ◽  
pp. 259-266 ◽  
Author(s):  
Kyoko TAKASHIMA ◽  
Hideki HAGIWARA ◽  
Ruri SHOJI
Keyword(s):  
Container Ship ◽  
Fuel Saving ◽  
Weather Routing

Benchmark Study of Five Optimization Algorithms for Weather Routing

2017 ◽  
Author(s):  
Helong Wang ◽  
Wengang Mao ◽  
Leif Eriksson
Keyword(s):  
Dynamic Programming ◽  
Fuel Consumption ◽  
Optimization Algorithm ◽  
Optimization Algorithms ◽  
Measurement Data ◽  
Shipping Industry ◽  
Advantages And Disadvantages ◽  
Benchmark Study ◽  
Routing Optimization ◽  
Weather Routing

Safety and energy efficiency are two of the key issues in the maritime transport community. A sail plan system, which combines the concepts of weather routing and voyage optimization, are recognized by the shipping industry as an efficient measure to ensure a ship’s safety, gain more economic benefit, and reduce negative effects on our environment. In such a system, the key component is to develop a proper optimization algorithm to generate potential ship routes between a ship’s departure and destination. In the weather routing market, four routing optimization algorithms are commonly used. They are the so-called modified Isochrone and Isopone methods, dynamic programming, threedimensional dynamic programming, and Dijkstra’s algorithm, respectively. Each optimization algorithm has its own advantages and disadvantages to estimate a ship routing with shortest sailing time or/and minimum fuel consumption. This paper will present a benchmark study that compare these algorithms for routing optimization aiming at minimum fuel consumption. A merchant ship sailing in the North Atlantic with full-scale performance measurements, are employed as the case study vessels for the comparison. The ship’s speed/power performance is based on the ISO2015 methods combined with the measurement data. It is expected to demonstrate the pros and cons of different algorithms for the ship’s sail planning.

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