Digital research


Much of our research focuses on understanding how pilot-scale technology can translate into viable solutions and products. As such, simulation of potential adaptations and process and modelling of outcomes helps to accurately predict how research will come to life. Our expertise and software combines to offer detailed insights into potential innovations.

Process modelling is important as it gives a detailed outline of a process: size, types, dimensions, duties, utilities, costs, quantifies material and energy flows, gives improved and optimised designs, saves time and human error, it can be used for sensitivity and scenario analysis, and it can set the foundation for economic and environmental assessments.

We are also experts in performing smaller-in-scale multiscale and multiphysics modeling frameworks for a multitude of chemical and physical processes which take place in, for example: fuel cells, hydrogen electrolysers, CO2 separation membrane processes, etc. The outcomes of such models are highly invaluable as they assist in (i) understanding the interactions between the various physics in the unit and/or (ii) optimising the operating and design parameters to maximise the efficiency and/or longevity of the unit.

Specific areas of interest

  • Multiscale modelling, operation and integration of renewable and/or electrochemical energy units and systems
  • Process modelling of carbon capture utilisation storage (CCUS) systems
  • Multiscale modelling and experimental characterization
  • Numerical modelling of the electrodes of the polymer electrolyte fuel cells
  • Development of reactor kinetic models