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 suboptimal performance. Fortunately, process measurements can be used to reduce this suboptimality, 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 (RTO) methods are discussed and compared. Finally, four representative application problems are presented and solved using some of the proposed RTO schemes.