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Pore Scale Multiphase Dynamics Redefining Cyclic Hydrogen Storage from Pores to Reservoir

Project description

Predictive method for underground hydrogen storage

Europe’s shift to a climate-neutral energy system by 2050 relies on underground hydrogen storage in depleted hydrocarbon fields and deep aquifers, but uncertainties in hydrogen-brine interactions and reliance on static models limit its effective deployment. Supported by the Marie Skłodowska-Curie Actions programme, the CYC-H2-FLOW project will develop a predictive framework for underground hydrogen storage by integrating advanced experimental and modelling methods. Using microfluidics and synchrotron imaging, it will generate unique datasets to analyse hydrogen-brine interactions. The project will develop new models for energy coupling and flow functions to support reservoir-scale simulations. It aligns with Horizon Europe priorities for climate action and clean energy, offering open-access datasets and tools to enhance industrial efficiency.

Objective

Europe’s transition to a climate-neutral energy system by 2050 depends on safe and efficient underground hydrogen storage to balance intermittent renewable supply and secure energy independence. Depleted hydrocarbon fields and deep aquifers are the most practical options, yet deployment is limited by uncertainties in hydrogen-brine dynamics under cyclic injection and withdrawal. Existing approaches rely on static flow functions and empirical hysteresis rules, leaving injectivity, deliverability, and residual trapping poorly constrained. This fellowship will establish the first predictive, cycle-aware pore-to-reservoir framework for underground hydrogen storage by integrating advanced experiments, innovative descriptors, and physics-informed modelling. High-speed microfluidics and synchrotron micro-Computed Tomography will generate unprecedented multi-cycle hydrogen-brine datasets under realistic boundary conditions. These datasets will be analyzed using morphology- and topology-aware descriptors with machine learning methods to capture interfacial memory, stability, and flow regime transitions. Insights will underpin new hysteresis-energy coupling models and dynamic flow functions, enabling reservoir-scale simulations that account for path dependence and dissipation. The project addresses Horizon Europe MSCA priorities on climate action, clean energy transition, and innovation-driven growth. Scientifically, it will deliver open-access benchmark datasets, reproducible workflows, and transferable methods for porous media research. Technologically, it will provide cycle-aware modelling tools for direct integration into industrial simulators, reducing risk and improving operational efficiency. Societally, this project directly supports the European Green Deal, Hydrogen Strategy, and REPowerEU, enabling reliable renewable integration, reducing fossil fuel reliance, and strengthening Europe’s global leadership in hydrogen technologies.

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Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2025-PF

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Coordinator

DANMARKS TEKNISKE UNIVERSITET
Net EU contribution
€ 263 393,28
Address
ANKER ENGELUNDS VEJ 101
2800 Kongens Lyngby
Denmark
Region
Danmark Hovedstaden Københavns omegn
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data