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

Summary, in English

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.

• Author: Johan Åkesson; Carl D. Laird; Geoffry Lavedan; Katrin Prölss; Hubertus Tummescheit; Stéphane Velut; Yu Zhu
• Department/s: Department of Automatic Control
• Publishing year: 2012
• Language: English
• Pages: 445-454
• Publication/Series: Chemical Engineering & Technology
• Volume: 35
• Issue: 3
• Links: http://dx.doi.org/10.1002/ceat.201100480
• Document type: Journal article
• Publisher: John Wiley & Sons Inc.
• Topic: Control Engineering
• Status: Published
• Project: LCCC
• Research group: LCCC
• ISBN/ISSN/Other: ISSN: 1521-4125