Assessment of ethanol autoxidation as a drop-in kerosene and surrogates blend with a new modelling approach

Bioethanol has been considered as a more sustainable alternative for fossil fuels, and it used drop-in fuel mixture. In this paper, the autoxidation properties of real kerosene well single, binary ternary surrogates with presence ethanol are investigated first time. A simplified python code is proposed to predict pressure drop PetroOXY method that was assessing properties. The experimental results show addition an concentration reduces induction period while increasing surrogate mixtures. Also, maximum during test increases increase concentration. model able accurately by employing automated reaction mechanism generator. strategy stability adding 1 g/L antioxidant evaluated. efficiency antioxidants in following order: PY > Decalin DTBP Tetralin BHT MTBP BHA TBHQ PG.