Green hydrogen production through electrolysis is significantly affected by electricity costs, which can account for a large portion of total production expenses. Intermittent renewable energy sources, such as wind and solar, can lead to fluctuations in electricity prices. By using data on electricity market prices, renewable generation output, and grid conditions, water electrolyzers can be operated flexibly to align hydrogen production with periods of low-cost and abundant electricity. Artificial intelligence (AI) can process these data streams to dynamically adjust production schedules, ensuring that hydrogen production remains cost-effective.
This project directly supports both national and European policy priorities, as well as international climate objectives. In the Netherlands, the National Hydrogen Program (NWP) emphasizes large-scale initiatives that convert offshore wind energy into hydrogen. The European Hydrogen Strategy seeks to accelerate the adoption of renewable and low-carbon hydrogen to contribute to the decarbonisation of the EU. In line with the Paris Agreement and net-zero CO₂ goals, this project uses renewable energy for sustainable hydrogen production, supporting the global transition to a low-carbon future.
Our team is active in both the AI and hydrogen communities, with strong ties to research, national and international programs, and industry partners. By connecting these two worlds, we can apply advanced AI to real energy challenges, open new opportunities for innovation, and create a space where data, models, and solutions are developed and shared collaboratively.
- Faeze Khalighi, Postdoc, Engineering Technology Faculty, UT
- Yashar Hajimolana, Assistant professor, Engineering Technology Faculty, UT
- Artur Pozarlik, Full Professor, Engineering Technology Faculty, UT
- Sebastian Thiede, Full Professor, Engineering Technology Faculty, UT
- Mohammad Khosravi, Assistant professor, Mechanical engineering, TU Delft
- Yali Tang, Associate Professor, Mechanical engineering, TU Eindhoven
- Bert Vreman, Full Professor, Mechanical engineering, TU Eindhoven