Robert Gordon University and Intervention Rentals UK Limited KTP 24_25 R1

A single system now turns waste heat from industrial processes into both electricity and green hydrogen, using machine learning to optimise performance at any scale. This matters because most industrial waste heat—from factories, data centres, or power plants—is simply vented into the air. Existing recovery systems capture only part of it, and none produce both electricity and hydrogen from the same unit. The company aims to be the first to market with a fully integrated, self-optimising system that adapts to different operational conditions without manual recalibration. If successful, the system could cut industrial energy costs and carbon emissions simultaneously. Factories could generate their own clean electricity and hydrogen on site, reducing reliance on grid power and fossil-fuel-based hydrogen supply chains. The machine-learning component means the system adjusts automatically as heat output fluctuates, making it practical for real-world industrial environments rather than just controlled lab conditions. This is applied engineering with a clear commercial route: a product that quietly improves how energy-intensive industries manage their waste heat.