A validated Distributed Activation Energy Model (DAEM) to predict the chemical degradation of biomass as a function of hydrothermal treatment conditions

This study proposes a DAEM (Distributed Activation Energy Model) approach to predict the chemical alterations of lignocellulosic biomass as function hydrothermal treatment conditions. The model is first tuned by an original device allowing sample shrinkage be continuously assessed during in saturated water vapor up 190 °C. dynamic supplied indicator degree conversion. A set analyses was performed at selected residence times and temperatures correlate this conversion with resulting molecules. functions then derived from database components concentrations. Finally, validation built different combinations temperature levels times. proved predictive on new dataset.