1. Study of the gas-liquid CO 2 absorption in aqueous monoethanolamine solutions: development of a new experimental tool C. Wylock, S. Dehaeck, E. Boulay, P. Colinet and B. Haut CO 2 Summit:Technology and Opportunity Vail, USA June, 7 th, 2010 Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles

2. CO 2 capture process by Cansolv Technologies Inc. Absorption in amine solutions – regeneration by boiling Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 2 Packed column

3. Best amine selection Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 3 Target :  Fast reactivity with CO 2  High absorption capacity  Low energy (heating) regeneration cost  High stability Screening of several amine mixtures

4. This work  Propose a new experimental tool to determine the gas-liquid mass transfer coefficient  Will (hopefully) contribute to: Amine selection Absorber design  Applied on monoethanolamine (MEA) as a test case Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 4

5. Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Outline  Description of the tool and procedure Experimental setup Overview of the procedure Mathematical modeling Calibration Mass transfer coefficient estimation  Results and discussion  Conclusion Page 5

6. Experimental setup  The absorption of a pure gaseous CO 2 in an aqueous MEA solution is realized in a Hele-Shaw cell Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 6

7. Experimental setup  The absorption of a pure gaseous CO 2 in an aqueous MEA solution is realized in a Hele-Shaw cell Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 7 CO 2 Water-MEA

8. Experimental setup  The absorption of a pure gaseous CO 2 in an aqueous MEA solution is realized in a Hele-Shaw cell  Refractive index variations in the liquid phase induced by this absorption are visualized using a Mach- Zehnder interferometer Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 8 CO 2 Water-MEA

9. Experimental setup  Mach-Zehnder interferometer (MZI) block-diagram Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 9

10. Experimental setup  Refractive index variations are computed from the interferogram variations thanks to an image processing program (Dehaeck et al., 2008) Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 10

11. Experimental setup  Refractive index variations are computed from the interferogram variations thanks to an image processing program (Dehaeck et al., 2008)  Time evolution of the refractive index profiles  Modeling of the phenomena by a 1-D model Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 11

12. Overview of the procedure Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 12 MZI Experimental profiles of refractive index variation  n exp 1-D mass transfer model (with physico-chemical parameters) Simulated profiles of concentration variation  C sim Calibration by refractometry  correlation  n = f (  C ) COMPARISON Gas-liquid absorption experiments Equation solver Simulated profiles of refractive index variation  n sim Parameter fitting

13. Overview of the procedure Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 13 MZI Experimental profiles of refractive index variation  n exp 1-D mass transfer model (with physico-chemical parameters) Simulated profiles of concentration variation  C sim Calibration by refractometry  correlation  n = f (  C ) COMPARISON Gas-liquid absorption experiments Equation solver Simulated profiles of refractive index variation  n sim Parameter fitting

14. Mathematical modeling Schematic view of the gas-liquid absorption (MEA = RNH 2 with R = CH 2 CH 2 OH) Page 14 Interface Gaseous phase MEA aqueous solution (close to the interface) x=0 Gas - liquid equilibrium Diffusion Chemical reactions X Depth in the liquid phase

15. Mathematical modeling Mass transfer equations in the liquid phase Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 15 with + appropriate boundary and initial conditions

16. Mathematical modeling  Equations solved using the COMSOL Multiphysics software  time evolution of the concentration profiles  Converted into refractive index profiles by Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 16 calibration

17. Overview of the procedure Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 17 MZI Experimental profiles of refractive index variation  n exp 1-D mass transfer model (with physico-chemical parameters) Simulated profiles of concentration variation  C sim Calibration by refractometry  correlation  n = f (  C ) COMPARISON Gas-liquid absorption experiments Equation solver Simulated profiles of refractive index variation  n sim Parameter fitting

18. Calibration Calibration curves identified by refractometry Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 18  n measured for several concentrations in MEA n measured for several concentrations in MEA and several dissolved CO 2 amount  

19. Overview of the procedure Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 19 MZI Experimental profiles of refractive index variation  n exp 1-D mass transfer model (with physico-chemical parameters) Simulated profiles of concentration variation  C sim Calibration by refractometry  correlation  n = f (  C ) COMPARISON Gas-liquid absorption experiments Equation solver Simulated profiles of refractive index variation  n sim Parameter fitting

20. Method Let and be the experimental and the simulated (with a parameter set P ) refractive index variation at time t j and position x i, respectively Estimation of P that minimizes using the fminsearch routine of COMSOL Script Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 20 Simulated profiles Experimental profiles Comparison Parameter fitting

21. Results and discussion  Comparison of experiments (dot) and simulated (dash)  Physico-chemical parameter estimation Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 21  A good comparison is observed when fitted parameters are used  Fitting OK ParametersFitted valueLiterature value D RNH2 [m 2 /s]5.63 10 -10 8.56 10 -10 k 1 [m 3 /mol s]8.335.91 h CO2 [mol/m 3 Pa]5.865 10 -4 5.874 10 -4  A good agreement is obtained A. Aboudheir et al., CES, 58, 5195 W. van Swaaij, et al, CES, 39, 207 W. van Swaaij et al., JCE Data, 33, 29

22. Conclusion  Simulated refractive index variation profiles (using fitted parameter values): agree pretty well with experimental profiles  Fitted parameter values: in agreement with values estimated using literature correlations  Procedure seems operational for the CO 2 absorption in MEA aqueous solutions  Will be applied to study gas-liquid CO 2 absorption in solvents provided by Cansolv Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Page 22

23. Thanks for your kind attention.