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CO 2 Summit:Technology and Opportunity Vail, USA June, 7 th , 2010

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

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CO 2 Summit:Technology and Opportunity Vail, USA June, 7 th , 2010

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  1. Study of the gas-liquid CO2 absorption in aqueous monoethanolamine solutions: development of a new experimental toolC. Wylock, S. Dehaeck, E. Boulay, P. Colinet and B. Haut CO2 Summit:Technology and Opportunity Vail, USA June, 7th, 2010 Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles

  2. CO2 capture process by Cansolv Technologies Inc. Packed column Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Absorption in amine solutions – regeneration by boiling

  3. Best amine selection • Target : • Fastreactivitywith CO2 • High absorption capacity • Lowenergy (heating) regenerationcost • High stability Screening of several amine mixtures Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles

  4. This work Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles • 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

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

  6. Experimental setup Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles The absorption of a pure gaseous CO2 in an aqueous MEA solution is realized in a Hele-Shaw cell

  7. Experimental setup CO2 Water-MEA Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles The absorption of a pure gaseous CO2 in an aqueous MEA solution is realized in a Hele-Shaw cell

  8. Experimental setup CO2 Water-MEA Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles The absorption of a pure gaseous CO2 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

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

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

  11. Experimental setup Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles 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

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

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

  14. Mathematical modeling Gaseous phase Gas - liquid equilibrium Interface x=0 MEA aqueous solution (close to the interface) Diffusion Chemical reactions X Depth in the liquid phase Schematic view of the gas-liquid absorption (MEA = RNH2 with R = CH2CH2OH)

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

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

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

  18. Calibration • n measured for several concentrations in MEA  • n measured for several concentrations in MEA and several dissolved CO2 amount  Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Calibration curves identified by refractometry

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

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

  21. Results and discussion • A good comparison is observed when fitted parameters are used • Fitting OK  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 Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles Comparison of experiments (dot) and simulated (dash) Physico-chemical parameter estimation

  22. Conclusion Transfers, Interfaces and Processes Applied Science Faculty, Université Libre de Bruxelles • 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 CO2 absorption in MEA aqueous solutions • Will be applied to study gas-liquid CO2 absorption in solvents provided by Cansolv

  23. Thanks for your kind attention.

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