Data-Driven Optimization of Batch Processes: The Design of Dynamic Experiments
Event details
| Date | 18.03.2011 |
| Hour | 10:15 |
| Speaker | Pr. C. Georgakis, Department of Chemical and Biological Engineering, Tufts University, Medford, USA. |
| Location |
MEC2405
|
| Category | Conferences - Seminars |
Many batch processes cannot be optimized using knowledge-driven process
models, because such models do not exist. This is due to our incomplete understanding of the inner workings of many batch processes and unfavorable economics due to their small production rates. To resolve this impasse, a new data-driven methodology is presented for optimizing the operation of a variety of batch processes when at least one time-varying operating condition needs to be selected. This methodology calculates optimal time-varying conditions without the use of an a priori knowledge-driven model. The approach generalizes the classical Design of Experiments (DoE) methodology, limited by its consideration of time-invariant decision variables. The new approach, called the Design of Dynamic Experiments (DoDE), designs experiments that explore a set of “dynamic signatures” of the unknown decision function(s). Constrained optimization of the interpolating response surface model, calculated from the results of the performed experiments, leads to the selection of the optimal operating conditions. Results from two simulated examples and an experimental pharmaceutical process demonstrate the powerful utility of the method. The first examines a simple reversible reaction in a batch reactor, where the time-dependant reactor temperature is the decision function. The second example examines the optimization of a penicillin fermentation process, where the feeding profile of the substrate is the decision variable. In both cases, a finite number of experiments leads to the effective approximation of the optimal operation of the process. The third example examines an asymmetric catalytic hydrogenation reaction in the production of an active pharmaceutical ingredient. Here the best of the DoDE experiments is 50% better than the best experiment of the DoE set.
Links
Practical information
- General public
- Free