Bi-level energy management and design optimization for hybrid marine power system applications
Hernandez-Torres, D.; Tao, Z.; Sellier, F. (2025). Bi-level energy management and design optimization for hybrid marine power system applications. IEEE Transportation Electrification Conference and Expo . https://dx.doi.org/10.1109/ITEC63604.2025.11098088
In: IEEE Transportation Electrification Conference and Expo. IEEE: New York. ISSN 2377-5483; e-ISSN 2473-7631, meer
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| Author keywords |
optimization;energy management;bi-level optimization;Bayesian optimization;hybrid marine power system |
| Auteurs | | Top |
- Hernandez-Torres, D.
- Tao, Z., meer
- Sellier, F.
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| Abstract |
This paper presents a two-level nested optimization methodology for energy management and component sizing optimization in hybrid marine energy systems. The approach combines mixed-integer linear programming (MILP) for high-resolution energy management system (EMS) optimization and Bayesian optimization for overall system design. By integrating high-resolution operational data and low-resolution design data, the proposed framework enables optimal integration of battery and supercapacitor systems in maritime vessels. The methodology is applied to real-world case studies, demonstrating its effectiveness in supporting the adoption of innovative battery (such as semi-solid state Li-ion cells) and supercapacitor chemistries. The results show significant potential to reduce fuel consumption and emissions, contributing to greener and more efficient shipping. This work highlights the applicability of bi-level optimization as a decision-making tool to advance sustainable marine energy systems. |
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