Modelling and Advanced Process Control for Acetic Acid fermentation
Tuesday, April 29, 2014
Exhibit/Poster Hall, lower level (Hilton Clearwater Beach)
Elliott C. Schmitt, Mandana Ehsanipour, Renata Bura and Rick Gustafson, School of Environmental and Forest Sciences, University of Washington, Seattle, WA
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.