Modelling and simulation of the sugarcane delignification process by alkaline pretreatment using H₂O₂

The present research provides a thorough investigation to enhance the delignification process in a 2G biorefinery by implementing a dynamic process simulator. Developed using the Julia programming language, this simulator enables the study of crucial variables such as liquid–solid ratio (LSR), hydrogen peroxide concentration ( C HP ), and processing time ( t ) during the alkaline hydrolysis stage. Optimal operating conditions were determined through rigorous simulation and meticulous experimental validation, resulting in an optimal configuration of 4% H 2 O 2 concentration, LSR of 15:1 v/w, and 50 h of processing time under standard pressure and temperature conditions. These findings yielded a lignin removal percentage of 93.02%. Furthermore, the experimental validation process facilitated the recalibration of kinetic parameters. Overall, this research underscores the potential of the dynamic simulator in optimizing critical variables across various raw materials.