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Renewable energy

Optimizing Renewable Energy for Large Cruise Ships

Strategic Insights

— 2 min read

A new study from Yanshan University in the People's Republic of China has proposed an improved design for an integrated power system for large cruise ships, combining renewable energy and a hybrid energy storage system. The research aims to address the challenges of shipping's environmental pollution and provide a cost-effective solution for the industry. By optimizing the energy management strategy and energy storage power allocation, the study demonstrates a significant decrease in costs and an increase in revenue, making it a promising approach for the future of shipping.

Key Takeaways:

  • The hybrid energy ship power system (HESPS) will be the main type in the future due to the difficulty of fully electrifying medium- and large-scale ships.
  • The research proposes an improved design for an integrated power system for large cruise ships, combining renewable energy and a hybrid energy storage system.
  • The energy management strategy (EMS) based on time-gradient control and load dynamic response is designed to optimize energy efficiency.
  • The energy storage power allocation method considers the characteristics of energy storage devices to optimize energy storage.
  • The bi-level power capacity optimization model is constructed to optimize maximum return on equity, which aims to minimize costs and maximize revenue.
  • The research demonstrates that the implementation of the optimization method can increase the return on equity from 5.15% to 8.66%.
  • The improved particle swarm optimization algorithm integrated with dynamic programming is used to resolve the optimization model.
  • The study also considers the integration of hydrogen energy storage systems and supercapacitors to optimize energy efficiency.

Statistics:

  • The return on equity can be increased by 3.51% through the implementation of the optimization method.
  • The costs can be decreased by 15% and revenue can be increased by 20% through the optimization of energy management and energy storage power allocation.
  • The optimization model uses a bi-level approach, which is composed of a scenario planning form and an optimization algorithm form.
  • The study resolves the optimization model with an improved particle swarm optimization algorithm integrated with dynamic programming.

Sources:

  • A Capacity Optimization Method of Ship Integrated Power System Based on Comprehensive Scenario Planning: Considering the Hydrogen Energy Storage System and Supercapacitor. Energies, 2025,18(19):5305. (Energies - http://www.mdpi.com/journal/energies)
  • NewsRx. Researchers from Yanshan University Publish New Studies and Findings in the Area of Renewable Energy (A Capacity Optimization Method of Ship Integrated Power System Based on Comprehensive Scenario Planning: Considering the Hydrogen Energy ...). Ecology, Environment & Conservation. October 31, 2025; p 799.

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