Projektdetaljer
Beskrivelse
Abstract:
As deep decarbonization efforts accelerate, cutting-edge technologies are reshaping integrated energy systems to curb carbon emissions and drive climate action. Fuel cells, positioned as a transformative force, are poised to revolutionize energy storage and heavy-duty transportation sectors by 2030 and beyond. With strong backing from the European Union, national governments, and multinational enterprises, large-scale deployment of green fuels has become a strategic priority for achieving net-zero emissions.
However, conventional microgrid management frameworks impose constraints on scalable green fuel integration, limiting their full potential. To bridge this gap, a paradigm shift toward intelligent rescheduling and cross-module connections is imperative, particularly for heavy microgrids in the transportation sector. By embedding fuel cells into conventional microgrid architectures, green fuel consumption can be significantly enhanced, enabling seamless integration across multi-type microgrids. Fuel cells not only serve as dynamic conversion units but also offer unprecedented flexibility in distributing green fuels across heavy-duty trucking fleets—effectively displacing conventional diesel. Nevertheless, large-scale practical adoption demands advanced mathematical modeling and coordinated control strategies to optimize fuel utilization and ensure peak efficiency.
A holistic approach to the optimization and control of green fuel-driven heavy microgrids is the key to unlocking superior energy efficiency and enabling a resilient, low-carbon transportation ecosystem.
Funding: Self-funded
As deep decarbonization efforts accelerate, cutting-edge technologies are reshaping integrated energy systems to curb carbon emissions and drive climate action. Fuel cells, positioned as a transformative force, are poised to revolutionize energy storage and heavy-duty transportation sectors by 2030 and beyond. With strong backing from the European Union, national governments, and multinational enterprises, large-scale deployment of green fuels has become a strategic priority for achieving net-zero emissions.
However, conventional microgrid management frameworks impose constraints on scalable green fuel integration, limiting their full potential. To bridge this gap, a paradigm shift toward intelligent rescheduling and cross-module connections is imperative, particularly for heavy microgrids in the transportation sector. By embedding fuel cells into conventional microgrid architectures, green fuel consumption can be significantly enhanced, enabling seamless integration across multi-type microgrids. Fuel cells not only serve as dynamic conversion units but also offer unprecedented flexibility in distributing green fuels across heavy-duty trucking fleets—effectively displacing conventional diesel. Nevertheless, large-scale practical adoption demands advanced mathematical modeling and coordinated control strategies to optimize fuel utilization and ensure peak efficiency.
A holistic approach to the optimization and control of green fuel-driven heavy microgrids is the key to unlocking superior energy efficiency and enabling a resilient, low-carbon transportation ecosystem.
Funding: Self-funded
| Status | Igangværende |
|---|---|
| Effektiv start/slut dato | 01/07/2023 → 30/06/2026 |
Fingerprint
Udforsk forskningsemnerne, som dette projekt berører. Disse etiketter er oprettet på grundlag af de underliggende bevillinger/legater. Sammen danner de et unikt fingerprint.