End-to-end value chain in green hydrogen in Luxembourg. See our project website for more details. Funding Acknowledgement LuxHyVal is co-funded by the Clean Hydrogen Partnership and its members.
Nov 1, 2023
HyWay is a Marie Sklowdowska-Curie Staff Exchange project, coordinated by Prof. Bradley Ladewig. More details can be found on the dedicated project website. Funding Acknowledgement HyWay is co-funded by the European Union under the Marie Sklowdowska-Curie Staff Exchange programme, project number: 101130009.
Oct 26, 2023
The ongoing research focuses on developing a hydrogen-based process for the reduction of fine iron ore particles in a circulating fluidized bed (CFB). The objective is to identify a stable and scalable operating window—defined by the interplay between main parameters for both hydrodynamics and reaction kinetics—that ensures steady particle movement and efficient reaction conditions. Insights obtained from simulations and experiments are being used to support reactor design and scale-up for hydrogen-based direct reduction technologies. A stable computational framework has been established in Barracuda Virtual Reactor (CPFD). The simulation environment has been successfully migrated from CPU to GPU-based high-performance computing (HPC) platforms at the University of Luxembourg, reducing the runtime of a typical production case from several weeks to days and hours. This improvement enables systematic parameter exploration. PhD Researcher: Zahra Aminigarakani
Oct 26, 2023
H2-Global focusses on electrochemical methods for green hydrogen production from a range of feedstocks. The project supports an extended scientific visit by Professor Manoj Neergat from IIT Bombay, working in Luxembourg for 12 months spread over a three year period. Funding Acknowledgement H2-Global is supported by the Luxembourg National Research Fund, Project 17548946, under the INTER Mobility programme.
Oct 26, 2023
APM-ML is a collaborative project between the University of Luxembourg and the National University of Singapore. The two collaborating Professors are Prof. Bradley Ladewig and Prof. Dan Zhao. Mr Kris Helten is the PhD researcher working on the project and will spend a total of 12 months (across several placements) working in NUS Singapore developing advanced porous materials for hydrogen separations, supported by machine learning techniques. Funding Acknowledgement APM-ML is supported by the Luxembourg National Research Fund, Project 17112420, under the AFR Bilateral programme.
Oct 26, 2023