PTG and Repsol collaborate on predictive tools for sustainable fuel development

PTG members Giuseppe Indelicato, Andrea Ravenni, and Daniel Mira visited the Repsol Technology Lab in Madrid in May 2026 to present and discuss the final results of a year-long project developed in collaboration with the Repsol Product Design team. The visit also provided an opportunity for a stimulating exchange with other Repsol teams on future research directions.

The project focused on developing models for the prediction of physico-chemical properties of fuels and fuel blends (e.g, octane number, vapor pressure, distillation curve…) by combining data-driven machine learning with thermodynamic modelling. The resulting tools simplify costly experimental campaigns offering a preliminary fuel screening and blend optimization. Applied to sustainable aviation fuels, these tools will speed up the development of new drop-in fuel candidates that will reduce emissions in the aviation sector.