Research on the Development of Intelligent Ships and Smart Energy Management Technologies

With the maritime industry undergoing digital transformation and facing growing demands for automation, intelligent ships and smart energy management have become central to boosting operational efficiency, cutting fuel consumption, and reducing environmental impact. This paper first reviews the concept and system architecture of intelligent ships and surveys key technological advances in autonomous navigation, condition monitoring, and decision support. It then examines the architectural models of shipboard energy management systems, explores intelligent optimization algorithms, and outlines real-time control strategies. Drawing on representative application cases, the study evaluates both operational performance and economic returns. Finally, it discusses major challenges in engineering rollout, algorithmic reliability, and large-scale deployment, and looks ahead to emerging research directions and industry trends, offering theoretical underpinnings and practical guidance for the evolution of intelligent shipping and energy management.

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Publication Details

Journal
International Journal of Engineering Advances
Published
2025-05-09
DOI
https://doi.org/10.71222/wrgd4245
Primary Topic
Marine and Coastal Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Research on the Development of Intelligent Ships and Smart Energy Management Technologies

Chaohua Wu
International Journal of Engineering Advances
Marine and Coastal Research
article

Research on the Development of Intelligent Ships and Smart Energy Management Technologies

Chaohua Wu
article en

Abstract

With the maritime industry undergoing digital transformation and facing growing demands for automation, intelligent ships and smart energy management have become central to boosting operational efficiency, cutting fuel consumption, and reducing environmental impact. This paper first reviews the concept and system architecture of intelligent ships and surveys key technological advances in autonomous navigation, condition monitoring, and decision support. It then examines the architectural models of shipboard energy management systems, explores intelligent optimization algorithms, and outlines real-time control strategies. Drawing on representative application cases, the study evaluates both operational performance and economic returns. Finally, it discusses major challenges in engineering rollout, algorithmic reliability, and large-scale deployment, and looks ahead to emerging research directions and industry trends, offering theoretical underpinnings and practical guidance for the evolution of intelligent shipping and energy management.

International Journal of Engineering AdvancesVol. 2(2)
Guangzhou Academy of Special Equipment Inspection and Testing (CN)
Openalex Percentile: Top 80%
Marine and Coastal Research
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