September 19, 2025Journal of Marine Science and EngineeringOpen Access

Multi-Objective Optimization of Energy Storage Configuration and Dispatch in Diesel-Electric Propulsion Ships

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Fuel consumption and greenhouse gas emissions decreased by 16.12% and 13.18%, respectively, under the lifecycle cost-optimal solution.
The proposed algorithm achieves superior convergence compared to conventional algorithms, providing diverse solutions for energy management.
Numerical simulations validate the impact of an optimized energy storage system on reducing emissions and enhancing fuel efficiency.
The optimization framework incorporates essential design variables for battery modules and state of charge constraints.

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Implication

This analysis reveals enhanced fuel economy and reduced emissions in diesel-electric propulsion ships, highlighting the effectiveness of a structured energy management strategy.

Cite This Study

Sun et al. (2025) studied this question.

synapsesocial.com/papers/68d43804713b0b5dfea77fcf https://doi.org/10.3390/jmse13091808

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Implication

This analysis reveals enhanced fuel economy and reduced emissions in diesel-electric propulsion ships, highlighting the effectiveness of a structured energy management strategy.

Multi-Objective Optimization of Energy Storage Configuration and Dispatch in Diesel-Electric Propulsion Ships

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Discussion

Implication

Cite This Study

Multi-Objective Optimization of Energy Storage Configuration and Dispatch in Diesel-Electric Propulsion Ships

Key Points

Discussion

Implication

Cite This Study