Benchmark study of five optimization algorithms for weather routing
Paper in proceeding, 2017

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, three dimensional 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 compares 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.

Dijkstra

Fuel consumption

Isopone

Dynamic programming

Routing optimization

Grid system

Isochrone algorithm

ETA

Author

Helong Wang

Mechanics and Maritime Sciences (M2)

Wengang Mao

Chalmers, Shipping and Marine Technology, Marine Technology

Leif Eriksson

Chalmers, Earth and Space Sciences, Radar Remote Sensing

Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE

Vol. 7B-2017

EONav - Earth Observation for Maritime Navigation

European Commission (EC) (EC/H2020/687537), 2016-05-01 -- 2019-04-30.

Subject Categories

Computer Engineering

Reliability and Maintenance

Marine Engineering

Areas of Advance

Information and Communication Technology

Transport

Energy

Driving Forces

Sustainable development

Roots

Basic sciences

DOI

10.1115/OMAE2017-61022

More information

Latest update

7/12/2024