Measurement-based Real-Time Optimization of Chemical Processes
This chapter presents recent developments in the field of process optimization. In the presence of uncertainty in the form of plant-model mismatch and process disturbances, the standard model-based optimization techniques might not achieve optimality for the real process or, worse, they might violate some of the process constraints. To avoid constraints violations, a potentially large amount of conservatism is generally introduced, thus leading to sub-optimal performance. Fortunately, process measurements can be used to reduce this sub-optimality, while guaranteeing satisfaction of process constraints. Measurement-based optimization schemes can be classified depending on the way measurements are used to compensate the effect of uncertainty. Three classes of measurement-based real-time optimization methods are discussed and compared. Finally, four representative application problems are presented and solved using some of the proposed real-time optimization schemes.
Keywords: Real-time Optimization ; Model-based Optimization ; Measurement-based Optimization ; Model Adequacy ; Two-step Approach ; Modifier Adaptation ; Self-Optimizing Approach ; Scale-up ; Solid Oxide Fuel Cell ; Grade Transition ; Batch Polymerization
Record created on 2012-05-01, modified on 2016-08-09