Measurement-Based Real-Time Optimization of Chemical Processes

Grégory Francois*, Dominique Bonvin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)1-50
Number of pages50
JournalAdvances in Chemical Engineering
Publication statusPublished - 2013


  • Batch polymerization
  • Grade transition
  • Measurement-based optimization
  • Model adequacy
  • Model-based optimization
  • Modifier adaptation
  • Real-time optimization
  • Scale-up
  • Self-optimizing approach
  • Solid oxide fuel cell
  • Two-step approach


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