Modeling and Control of Distillation Sequences
As shown in practice, distillation control design is successful when chemical engineering know-how of column behaviour is included in the control concept as a priori knowledge. This project aims at incorporation of such knowledge in the model predictive control framework developed in our group. Several control strategies will be implemented and complex distillation model structures will be created to test the quality of control.
There are manifold examples for distillation sequences in industry and
academic world. As an example for modeling and control of distillation
sequences, we consider a sequence for separation of
Acetone-Chloroform-Benzene-Toluene mixture (Krämer 2009). This is a
non-ideal mixture and the process contains coupled and less coupled
submodels. Thus, both modeling and control of the ACBT process are
challenging. Modeling of physical properties was already done, so having
incorporated the knowledge available at our department we will focus on
plant-wide control of the process.
The setup of a plant-wide control is a difficult task by its nature and this
process is not an exception. Many operating objectives must be satisfied
simultaneously and some of them contradict each other. Moreover, even
control of an individual column requires a more detailed insight into
operating conditions. Not only restrictions having their origins in overall
plant operating objectives but also specific objectives must be fulfilled.
Summing up, in the project, we aim at creating the process, observer and
control models, incorporating the models in our control framework and study
different plant-wide control strategies using the example of the ACBT