Soon Ho Hong , Su Bin Choi , Min Young Jang , Sun Je Kim
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引用次数: 0
Abstract
Recently, the shipping industry has accelerated the transition to electrified propulsion systems to improve fuel efficiency in response to strengthening environmental regulations. Ships experience nonlinear variations in power demand due to propulsion and hotel loads from onboard accommodations and equipment. To effectively manage fluctuating loads, it is essential to design propulsion systems integrated with Energy Storage Systems (ESS). However, ships have a larger physical scale than other mobility systems, single battery-based ESS is not sufficient to respond to changing loads. Accordingly, it is necessary to configure a hybrid energy storage system (HESS) that combines energy storage devices with different characteristics to secure optimal performance and reliability. This study proposes an efficient configuration and integrated power topology optimization method for HESS. To achieve this, a genetic algorithm (GA)-based sizing optimization and a dynamic programming (DP)-based load distribution optimization are applied. The results showed a 64 % reduction in weight and a 19 % reduction in energy loss through optimized battery-flywheel coordination. The optimization methodology of this study contributes to maximizing energy and operational efficiency and also improving lifespan of ESS and system stability of hybrid electric ship for various ship types.
期刊介绍:
Ocean Engineering provides a medium for the publication of original research and development work in the field of ocean engineering. Ocean Engineering seeks papers in the following topics.