SCU will support the other partners, FHG, ELK, NTNU, DAMEN, WABTEC. FHG will lead this task, develop the high-level digital twin simulation framework, and contribute to the EMS development by modelling the battery and BMS. SCU will support the defining of control and energy management considering the related works in T2.1 and T2.2. KO will support the study of electrical and diesel fuel options. NTNU will contribute to the optimisation of the hybrid power system with battery and engines (for the hybrid solution). ELK will support grid integration of EMS and PMS modes developed and define a methodology within simulation framework. WABTEC will support with a high-level model of switchboards. DAMEN will contribute to the topology of the power system and develop the energy management system.
Key Achievements in Task 2.3 – SCU Contribution
SCU has developed and developing optimised algorithms for dynamic energy distribution within energy management systems. These algorithms minimise energy losses, adapt to fluctuating demands, and ensure reliability across various operational scenarios.
Target Audience:
Utility companies, smart grid developers, and policymakers focused on energy efficiency and sustainability.
Target Measurable Outcomes:
- Energy savings of demonstrated in pilot projects.
- Real-time performance analytics showcasing improved system reliability.
- Documentation of optimisation strategies for replication across different scales and sectors.
Potential Impacts:
The optimisation of energy management systems accelerates the deployment of smart grids, supports renewable energy integration, and contributes to achieving national and international energy efficiency targets.
FLEXSHIP is funded by the EU Horizon Europe research and innovation programme under Grant Agreement no. 101095863.
This project has received funding from the European Union’s Horizon Europe research and innovation program under grant agreement no. 101095863
