Model Predictive Control Framework For An All Electric Hydrogen Powered Harbor Craft

作者：Nirmal Vineeth Menon, Chan Siew Hwa · 年份：2024 · DOI：10.1109/ceege62093.2024.10744159 · 研究领域：Advanced Control Systems Optimization、Engineering Applied Research、Hydraulic and Pneumatic Systems

Green electrons have the potential to decarbonize the maritime industry which is faced with an existential challenge to reduce its emissions. Accounting for 3% of global emissions, marine vessels provide an all-important service to meet consumers’ transportation demands in the most cost-competitive manner. To realize any substantial reduction in maritime emissions, several actors need to come together to orchestrate this change. From ocean-going vessels to harbor crafts, they have different roles to play and are guided by their unique strengths and limitations. The maritime industry has a rich heritage of using mechanically driven engines to provide power and consequently, the use of electrons for main propulsion is relatively nascent. This paper considers the optimization-based strategy of a model predictive controller as part of the power management framework of a near-to-shore vessel, a hydrogen-powered all-electric tugboat. Power-sharing strategies are also discussed to ensure that the load is shared optimally between the fuel cells and batteries.