Dynamic modeling and validation of a lignocellulosic enzymatic hydrolysis process--a demonstration scale study

Area of Science:

• Biochemical Engineering
• Biofuel Production
• Process Modeling

Background:

• Enzymatic hydrolysis is crucial for converting lignocellulosic biomass into biofuels.
• Effective modeling is needed to optimize demonstration-scale reactors for industrial application.

Purpose of the Study:

• To evaluate a dynamic model for enzymatic hydrolysis in a demonstration-scale reactor.
• To incorporate novel features like transport effects, pH dependency, and viscosity into the model.

Main Methods:

• Applied the Convection-Diffusion-Reaction equation to model transport and mixing.
• Extended a competitive kinetic model to include pH dependency and hemicellulose hydrolysis.
• Developed a comprehensive pH model and viscosity estimations.

Main Results:

• The dynamic model was validated against real operational data from a demonstration-scale biorefinery.
• Model predictions showed agreement within uncertainty with experimental measurements.
• The model successfully integrated transport phenomena, kinetics, and physical property estimations.

Conclusions:

• The developed dynamic model is a valuable tool for process optimization and control in large-scale biofuel production.
• The model can support performance monitoring and diagnosis in biorefineries.
• Accurate simulation of enzymatic hydrolysis is key to advancing second-generation biofuel technology.