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Optimize fuel-cell powered tugboat propulsion in specific conditions for enhanced efficiency and performance.
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Integrate fuel cell, energy storage, and propulsion system models using a multi-physics simulation approach.
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Implement optimal controls solution based on ECMS, considering system dynamics and constraints to achieve maximum fuel savings.
Abstract
This webinar highlights the multi-objective optimization of a fuel-cell powered in-harbor tugboat propulsion under selected duty cycle and weather conditions. The dynamic and forward-facing multi-physics simulation model integrates a physics-based fuel cell / balance of plant (BOP) model and an electrical-equivalent energy storage (ESS) model offering realistic response dynamics. The optimal controls solution, which is based on ECMS utilizes a kinematic backward-facing propulsion system model considering the system dynamics and constraints. The proposed modelling approach exploits the fuel saving potential of each system design variant, and thus offers a significant design and workflow improvement.
Topics include:
• The webinar focuses on optimizing a fuel-cell-powered tugboat propulsion in specific conditions
• A multi-physics simulation model is used to integrate fuel cell, energy storage, and propulsion system models
• The optimal controls solution is based on ECMS and considers system dynamics and constraints
• The proposed model offers realistic response dynamics for the tugboat propulsion system
Michael Zagun| Presenter
