Abstract
In this work dynamic optimal start-up policies were computed and validate in an experimental lab scale continuous bioreactor. Using the theoretical optimal profile a reduction in the start-up time was achieved when compared to simple step-like changes in the manipulated variables. Therefore, the use of optimal start-up policies led to raw material savings. To test the optimal start-up policies two operating points were selected. Experiments were run at these conditions to fit kinetic rate constants leading to a reliable model representation of the addressed biosystem. Our aim was to demonstrate that dynamic optimization is a valuable tool when approaching the dynamic operation of bioreactors assuming that a good model representation of the system is available.
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