In this work we develop a simulated moving bed reactor model for the parallel isomerization and separation of fructose and glucose. The model consists of component balances and equilibrium relations. The appropriate computation of the cyclic steady state forms the core of the model. The resulting partial differential equation system is discretized and solved using a continuous prediction method. After testing the model, an optimization strategy is implemented that can be used to optimize the performance of the simulated moving bed reactor. First single objectives are optimized; the purity and the throughput. Secondly we use a multi-objective optimization approach to optimize for both systems parallel, the result is a pareto-front.
|Number of pages||6|
|Journal||Computer Aided Chemical Engineering|
|Publication status||Published - 2015|