Reactor Network Synthesis and Biochemical Process Design

Under the hood we are dealing with optimal control problems in form of NLPs as well as  dynamic flux balance modeling in form of an ODE system with embedded LP. We focus on the application (hydroformylation, apoptosis in HeLa cells, microalgal-based production)  and tailoring of established optimization/solution methods. One of the challenges we address is the consideration of uncertainties (e.g. model parameters, design imperfections) during the phase of model identification but also model-based prediction and optimization.