The iRES Group pursues four interconnected research themes that address the critical challenges of transitioning to intelligent, sustainable energy systems.
Development of intelligent systems for optimising renewable energy generation, integration, and utilisation using advanced modelling and AI techniques. Our work targets real-world deployment challenges facing modern energy grids.
Research on large-scale energy storage technologies, including underground hydrogen storage, compressed air energy storage (CAES), and thermal storage systems. Our group plays a key role in advancing UK hydrogen infrastructure.
Development of AI-driven digital twin platforms for real-time monitoring, prediction, and optimisation of energy systems. Our GPSFLOW simulator represents a novel multi-phase, non-isothermal modelling capability used in industry.
Advanced modelling of underground energy systems using multi-phase, non-isothermal simulation tools. We investigate geological energy storage and integrated system design to support the net-zero transition.
A highlight of our research is the development of GPSFLOW, a multi-phase, non-isothermal simulator for modelling underground energy storage systems. GPSFLOW is used by industry partners for infrastructure planning and feasibility analysis of hydrogen storage, CAES, and geothermal systems.
See GPSFLOW Project →