Modelling and Advanced Process Control for Acetic Acid fermentation

This research presents the design and analysis of a nonlinear model predictive control strategy for acetic acid production carried out in a membrane cell recycle bioreactor (MCRB). Kinetic parameters are identified for batch fermentation through collecting experimental data of anaerobic fermentation of the conversion of xylose to acetic acid with Moorella thermoacetica. The parameters are then used in a numerical simulation to study the effectiveness and performance of various control algorithms and tuning parameters applied in the case of acetic acid fermentation in an MCRB. Appropriate control variable and control formulations are established to ensure robust setpoint tracking. In conclusion other advanced process control strategies are discussed and development of process models for the conversion of lignocellulosic hydrolysate.