LAPSE:2026.0407v1
Published Article
LAPSE:2026.0407v1
Model verification and Uncertainty Quantification methods using the CCSI simulation model for CO2 capture
June 12, 2026
Abstract
This work aims at verifying the CO2 absorption capture model using monoethanolamine (MEA) solvent developed by the U.S. DOE's Carbon Capture Simulation Initiative (CCSI) and performing uncertainty propagation of mass transfer, liquid hold-up and reaction kinetics properties in the complete model, which includes absorber and stripper columns. The verification of the Aspen Plus CCSI model, based on pilot plant data from the National Carbon Capture Center (NCCC) for a CO2 flue gas concentration between 7 and 11% (mol) allowed uncertainty quantification (UQ) analysis for four different selected operational points using Monte Carlo Simulation (MCS), where low liquid mass transfer parameters exhibited an impact on calculation convergence. Gaussian Processes (GP) surrogate model was implemented, followed by a sensitivity analysis in order to correlate the most sensitive parameters with studied outputs.
This work aims at verifying the CO2 absorption capture model using monoethanolamine (MEA) solvent developed by the U.S. DOE's Carbon Capture Simulation Initiative (CCSI) and performing uncertainty propagation of mass transfer, liquid hold-up and reaction kinetics properties in the complete model, which includes absorber and stripper columns. The verification of the Aspen Plus CCSI model, based on pilot plant data from the National Carbon Capture Center (NCCC) for a CO2 flue gas concentration between 7 and 11% (mol) allowed uncertainty quantification (UQ) analysis for four different selected operational points using Monte Carlo Simulation (MCS), where low liquid mass transfer parameters exhibited an impact on calculation convergence. Gaussian Processes (GP) surrogate model was implemented, followed by a sensitivity analysis in order to correlate the most sensitive parameters with studied outputs.
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Suggested Citation
Scheffer JV, Delgado S, Authier O, Loubière V, Ni F, Castel C, Commenge J. Model verification and Uncertainty Quantification methods using the CCSI simulation model for CO2 capture. Systems and Control Transactions 5:1626-1633 (2026) https://doi.org/10.69997/sct.144147
Author Affiliations
Scheffer JV: EDF R&D, Chatou, France. Université de Lorraine, CNRS, LRGP, F-54000 Nancy, France
Delgado S: EDF R&D, Chatou, France
Authier O: EDF R&D, Chatou, France
Loubière V: EDF R&D, Chatou, France
Ni F: EDF R&D, Chatou, France
Castel C: Université de Lorraine, CNRS, LRGP, F-54000 Nancy, France
Commenge J: Université de Lorraine, CNRS, LRGP, F-54000 Nancy, France
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Delgado S: EDF R&D, Chatou, France
Authier O: EDF R&D, Chatou, France
Loubière V: EDF R&D, Chatou, France
Ni F: EDF R&D, Chatou, France
Castel C: Université de Lorraine, CNRS, LRGP, F-54000 Nancy, France
Commenge J: Université de Lorraine, CNRS, LRGP, F-54000 Nancy, France
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Journal Name
Systems and Control Transactions
Volume
5
First Page
1626
Last Page
1633
Year
2026
Publication Date
2026-06-12
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Original Submission
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PII: 1626-1633-219-SCT-5-2026, Publication Type: Journal Article
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LAPSE:2026.0407v1
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https://doi.org/10.69997/sct.144147
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Jun 12, 2026
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References Cited
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