A novel method for joint optimization of the sailing route and speed considering multiple environmental factors for more energy efficient shipping

A novel method for joint optimization of the sailing route and speed considering multiple environmental factors for more energy efficient shipping

Wang, K. (TU Delft Transport Engineering and Logistics; Dalian Maritime University)
Li, Jiayuan (Dalian Maritime University)
Huang, Lianzhong (Dalian Maritime University)
Ma, Ranqi (Dalian Maritime University)
Jiang, X. (TU Delft Transport Engineering and Logistics)
Yuan, Yupeng (MOST; University of Cambridge)
Mwero, Ngome A. (Dalian Maritime University)
Negenborn, R.R. (TU Delft Transport Engineering and Logistics; MOST)
Sun, Peiting (Dalian Maritime University)
Yan, Xinping (MOST)

2020

Energy saving and emission reduction have attracted a great deal of attention in the maritime industry. The optimization of a ship's energy efficiency can reduce energy consumption and CO₂ emissions effectively. However, most of the available studies only focus on either the sailing speed or route optimization, and the interaction between speed and route under the influence of multiple environmental factors was not accounted properly. In this paper, a novel joint optimization method of the sailing route and speed, which considers the interaction between route and speed as well as multiple environmental factors, is proposed to fully exploit the energy efficiency's potential. Moreover, a joint optimization model of the sailing route and speed, which is based on an energy consumption model that considers multiple environmental factors, is established. Next, a solution algorithm for the joint optimization model is investigated in order to achieve joint decision-making with regard to the sailing route and speed. Finally, a case study is conducted that demonstrates the effectiveness of the proposed method. The results show that the proposed method can achieve the optimal sailing route and speed under complex environmental conditions, as well as a reduction in fuel consumption and CO₂ emissions of about 4%.

CO emission
Energy consumption
Energy system
Route optimization
Speed optimization

http://resolver.tudelft.nl/uuid:e24abfab-0625-48e0-9be4-35d163b30bb3

https://doi.org/10.1016/j.oceaneng.2020.107591

2021-03-02

0029-8018

Ocean Engineering, 216

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

journal article

© 2020 K. Wang, Jiayuan Li, Lianzhong Huang, Ranqi Ma, X. Jiang, Yupeng Yuan, Ngome A. Mwero, R.R. Negenborn, Peiting Sun, Xinping Yan