Elsevier

Applied Energy

Volume 194, 15 May 2017, Pages 30-54
Applied Energy

Design and control of hybrid power and propulsion systems for smart ships: A review of developments

https://doi.org/10.1016/j.apenergy.2017.02.060Get rights and content
Under a Creative Commons license
open access

Highlights

  • Classifies mechanical, electrical and hybrid propulsion for ships.

  • Classifies combustion, electrochemical, stored and hybrid power supply for ships.

  • Reviews opportunities, challenges and trends for power and propulsion architectures.

  • Summarises control strategy developments, their benefits and opportunities.

  • Proposes holistic research into torque, pitch, and model predictive control.

Abstract

The recent trend to design more efficient and versatile ships has increased the variety in hybrid propulsion and power supply architectures. In order to improve performance with these architectures, intelligent control strategies are required, while mostly conventional control strategies are applied currently. First, this paper classifies ship propulsion topologies into mechanical, electrical and hybrid propulsion, and power supply topologies into combustion, electrochemical, stored and hybrid power supply. Then, we review developments in propulsion and power supply systems and their control strategies, to subsequently discuss opportunities and challenges for these systems and the associated control. We conclude that hybrid architectures with advanced control strategies can reduce fuel consumption and emissions up to 10–35%, while improving noise, maintainability, manoeuvrability and comfort. Subsequently, the paper summarises the benefits and drawbacks, and trends in application of propulsion and power supply technologies, and it reviews the applicability and benefits of promising advanced control strategies. Finally, the paper analyses which control strategies can improve performance of hybrid systems for future smart and autonomous ships and concludes that a combination of torque, angle of attack, and Model Predictive Control with dynamic settings could improve performance of future smart and more autonomous ships.

Keywords

Electrical propulsion
Hybrid propulsion
Non-linear control systems
Control system technologies
Marine systems
Shipbuilding industry
Ship design
Defence industry
Power systems
Energy storage

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