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All Journal International Journal of Marine Engineering Innovation and Research
Abdul Ghofur
Department of Mechanical Engineering, Universitas Lambung Mangkurat, Banjarmasin 70123, Indonesia
Automotive Engineering Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Intelligent Energy Management and Hybrid Propulsion for Ships: A Review of Configurations, AI-Based Strategies, and Decarbonization Potential Mastiadi Tamjidillah; Elwas Cahya Wahyu Pribadi; Rachmat Subagyo; Abdul Ghofur; Ma’ruf
International Journal of Marine Engineering Innovation and Research Vol. 11 No. 2 (2026)
Publisher : Department of Marine Engineering, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25481479.v11i2

Abstract

Stringent IMO regulations targeting a 40% GHG reduction by 2030 and net-zero by 2050 have driven the maritime industry to adopt cleaner technologies, as conventional diesel propulsion often operates inefficiently with high fuel consumption and emissions. This paper presents a descriptive-comparative literature review of hybrid propulsion systems for ships, analyzing peer-reviewed journals published in the last five years. The study examines system configurations (series, parallel, series-parallel), key components (diesel engines, fuel cells, batteries, supercapacitors), and energy management strategies (EMS), with a focus on artificial intelligence-based approaches such as Deep Reinforcement Learning (DRL) and Nonlinear Model Predictive Control (NMPC). The findings indicate that hybrid systems can improve energy efficiency by 15–30% and significantly reduce CO₂, NOₓ, and SOₓ emissions compared to conventional systems, especially during zero-emission port operations. Advanced EMS, particularly DRL algorithms like Proximal Policy Optimization (PPO), enable real-time multi-objective optimization that balances fuel economy, battery health, and component longevity. However, challenges remain, including high initial investment costs, optimal sizing of hybrid energy storage systems, and limited charging infrastructure. This review concludes that despite these barriers, the convergence of intelligent EMS, falling battery prices, and tightening environmental regulations positions hybrid propulsion as a key technology for sustainable maritime transportation, with future potential from waste-heat recovery systems and alternative fuels.
Co-Authors Elwas Cahya Wahyu Pribadi Mastiadi Tamjidillah Ma’ruf Rachmat Subagyo