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Nonlinear Model Predictive Control of a CO2 Post-Combustion Absorption Unit

  • Johan Åkesson (Assistant Professor)
  • Carl D. Laird
  • Geoffry Lavedan
  • Katrin Prölss
  • Hubertus Tummescheit
  • Stéphane Velut
  • Yu Zhu
Publiceringsår: 2012
Språk: Engelska
Sidor: 445-454
Publikation/Tidskrift/Serie: Chemical Engineering & Technology
Volym: 35
Nummer: 3
Dokumenttyp: Artikel
Ytterligare information: Key=ake_etal2012chem project=langopt,LCCC-modeling


A dynamic model of a chemical CO2 absorption process with aqueous monoethanolamine (MEA) is presented, validated against experimental data. Based on the validated model, a reduced-order model is developed, suitable for an online optimization control strategy. The objective of the optimization is to enable fast adap- tations to changes in operating conditions of the power plant, while minimizing the energy consumption in the operation of the CO2 separation plant. The results indicate that model-based online optimization is a feasible technology for control of CO2 separation systems.



  • Technology and Engineering


  • LCCC
  • LCCC

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