A rolling multi-objective ship speed optimization strategy for energy efficiency and operating cost control in dynamic waterway conditions
Journal article, 2026

The push to decarbonization for ships is driving the development of supporting tools for operations. This study develops a rolling, voyage-scale multi-objective decision-support framework for speed management on inland waterways. The framework simultaneously minimizes the Energy Efficiency Operational Indicator (EEOI) and total operating cost by adjusting ship speed leg by leg under time-varying environmental conditions. Within each decision window, it solves a nonlinear bi-objective optimization problem using updated environmental and operating information to generate a practical compromise speed recommendation. A case study on a 7000 t bulk carrier across 18 legs shows that, compared with as-operated records, the proposed framework lowers total cost by 7.5% and shortens voyage time by 9.5%, while producing a smoother speed profile that is more compatible with ship propulsion and power-system control. These results indicate that rolling multi-objective speed optimization offers an effective engineering approach for voyage planning and operational speed management under time-varying environmental conditions, with clear potential for inland waterway decision-support applications.

Ship propulsion control

Ship energy efficiency

MOGOA

Multi-objective optimization

Rolling optimization

Author

Yupeng Yuan

Wuhan University of Technology

Xiaodong Guo

Wuhan University of Technology

Zhe Xiong

Wuhan University of Technology

Daogui Tang

Wuhan University of Technology

Liang Tong

Wuhan University of Technology

Chi Zhang

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Zhengmao Li

Aalto University

Joshua Y. Kim

Charleston Southern University

Ocean Engineering

0029-8018 (ISSN)

Vol. 353 124738

Subject Categories (SSIF 2025)

Transport Systems and Logistics

Marine Engineering

Control Engineering

DOI

10.1016/j.oceaneng.2026.124738

More information

Latest update

3/6/2026 8