A ship performance and genetic algorithm-based decision support system for vessel speed optimisation of ocean route
by Yanfei Zhang; Jipan Qiao
International Journal of Shipping and Transport Logistics (IJSTL), Vol. 17, No. 1/2, 2023

Abstract: The speed optimisation of operating ships contributes to reducing fuel costs and the emission of greenhouse gas (GHG). Therefore, it is a managerial problem to determine an optimal speed that helps minimise fuel consumption while considering various navigation restrictions that conform to navigation habits. Though most literary works study empirical formulas or historical navigation data to estimate fuel consumption under different weather conditions, these methods are subject to various limitations due to the unique performance of different vessels. Based on the still water model test data, this paper proposes a performance-based decision support system (DSS) for speed optimisation, which considers the impact of weather conditions and the specific fuel oil consumption (SFOC) rate value of the main engine on fuel consumption. The speed optimisation DSS applies a genetic algorithm (GA) to minimise fuel consumption and satisfy practical purposes. The ship-shore data exchange-based DSS can promptly provide an operating vessel with speed optimisation suggestions. The effectiveness of the speed optimisation DSS is validated through the implications on the operational ship, and its accuracy is tested by comparing the collected data on two target voyages.

Online publication date: Mon, 07-Aug-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Shipping and Transport Logistics (IJSTL):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com