Researchers at the ICAM are developing a digital modelling platform that can predict the key physical properties of sustainable aviation fuel (SAF) blends, as well as larger pool of hydrocarbons mixtures from wide ranges of sources. The aim is to help bp understand how different components behave when mixed, so better and cheaper fuel formulations can be designed more efficiently.
We are focussing on creating a reliable modelling platform that can estimate important characteristics of fuel mixtures. This reduces the need for large numbers of experiments and supports faster development of new blends. Early promising results have been obtained in forecasting properties such as viscosity, which is an important property for various mixtures, being difficult to measure and predict using classical methods. The methodology is currently being extended to predict phase-equilibrium thermodynamic properties (bubble and dew point curves, boiling temperatures, fluid densities, heat capacities etc.) and non-equilibrium properties such as the thermal conductivity.
As the stand-alone tool continues to develop, it will support bp’s wider low-carbon strategy. More accurate predictions can guide decisions about blending, procurement, and future technology choices. Although the project is still at an early stage, it has the potential to improve how sustainable aviation fuels are formulated, opening opportunities for applying similar methods to other renewable fuel mixtures in the future.
“Working together on this project allows us to combine fundamental research with practical needs from industry. By improving our modelling tools, we hope to support faster and more reliable development of fuels that can benefit our transition to lower carbon energy.”
Dr Corneliu Buda, bp Mentor and Senior Molecular Modeler, bp
