American Journal of Chemical Engineering

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Simulation of Loading Capacity of MDEA and DEA for Amine-Based CO2 Removal Using Hysys

Received: 22 February 2015    Accepted: 17 March 2015    Published: 09 May 2015
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Abstract

Besides meeting international stringent LNG product specification, this work will address the problem of off-spec product, high operational cost of acid gas (CO2) removal and pollution-free product, which is currently a huge global challenge. This work studied other ways by which amine unit can best be optimized to produce LNG gas with low CO2-content and high cost of acid gas removal. MDEA instead of DEA solvent-absorption method was chosen for the optimization using HYSYS 3.1 process simulator to predict the CO2 removal through the establishment of process operating conditions. A base case of amine-based CO2 removal process was used to create a steady-state and dynamic simulation using HYSYS 3.1 simulator. The differences between the values of acid gas loading capacity and CO2 content of the existing DEA operational value and HYSYS simulations were 0.00005 and 4.98 respectively. This established the advantage and accuracy of the HYSYS simulator and the developed models. The simulation results showed that the proposed MDEA had higher CO2 removal capacity of 89% to 55.02% for DEA and lower CO2 content of 0.0012 mole of CO2 in sweet gas to 0.014 mole of CO2 in DEA. MDEA had higher solvent recovery of 83% to 60% recovery for DEA. The pump size required to recycle MDEA with molar flow rate of 1877 Kg mol/hr. was smaller and less expensive than that required for DEA at 2371 Kg mol./hr. resulting in lower production cost.

DOI 10.11648/j.ajche.s.2015030201.15
Published in American Journal of Chemical Engineering (Volume 3, Issue 2-1, March 2015)

This article belongs to the Special Issue Developments in Petroleum Refining and Petrochemical Sector of the Oil and Gas Industry

Page(s) 41-46
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Absorber, Absorption, DEA, HYSYS, MDEA, Optimization, Regenerator, and Stripping

References
[1] Simmonds M., Hurst P., Wilkinson M.B., Reddy S. and Khambaty S., 2003, Amine-based CO2 Capture from Gas Turbines, 2nd Annual Conference on Carbon Sequestration, Alexandria, USA.
[2] Veawab A., Tontiwachwuthikul P., Aroonwilas A. and Chakma A., 2003, Greenhouse Gas Control Technologies, vol. 1, Eds. Gale J. and Kaya Y., Elsevier, Amsterdam.
[3] Oi L.E., 2007, Aspen HYSYS Simulation of CO2 Removal by Amine Absorption from a Gas Based Power Plant, 48th Scandinavian Conference on Simulation and Modeling, Goteborg, Sweden.
[4] Singh D., Croiset E., Douglas P.L. and Douglas M.A., 2003, Techno-economic study of CO2 capture from an existing coal-fired power plant: MEA scrubbing vs. O2/CO2 recycle combustion, Energy Conversion and Management 44, pp 3073-3091.
[5] Alie C., Backham L., Croiset E. and Douglas P.L., 2005, Simulation of CO2 capture using MEA scrubbing: a flow sheet decomposition method, Energy Conversion andManagement 46, pp 475-487.
[6] Mofarahi M., Khojasteh Y., Khaledi H. and Farahnak A., 2008, Design of CO2 absorption plant for recovery of CO2 from flue gases of gas turbine, Energy 33, pp 1311-1319
[7] Jamal A., Meisen A. and Jim Lim C.: Kinetics of carbon dioxide absorption and desorption in aqueous alkanolamine solutions using a novel hemispherical contactor. I. Experimental apparatus and mathematical modeling. Chem. Eng. Sci., 2006, 61, 6571-6589.
[8] Benamor A. and Aroua M.K.: An experimental investigation on the rate of CO2 absorption into aqueous methyldiethanolamine solutions. Kore. J. Chem. Eng., 2007, 24(1), 16-23.
[9] Vaidya P.D. and Kenig E.Y.: CO2-alkanolamine reaction kinetics: A review of recent studies. Chem. Eng.Tech., 2007, 30(11), 1467-1474.
[10] Donaldson T.L. and Nguyen Y.N.: Carbon dioxide reaction and transport into aqueous amine membranes.Ind. Eng. Chem. Fundam., 1980, 19, 260-266
[11] Hubbard, R. (2009): The Role of Gas Processing in the Natural-Gas Value Chain, JPT, August, 65-71
Author Information
  • Department of Chemical Engineering, University of Port Harcourt, Port Harcourt, Nigeria

  • Department of Chemical Engineering, University of Port Harcourt, Port Harcourt, Nigeria

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    I. J. Otaraku, F. O. Esemuze. (2015). Simulation of Loading Capacity of MDEA and DEA for Amine-Based CO2 Removal Using Hysys. American Journal of Chemical Engineering, 3(2-1), 41-46. https://doi.org/10.11648/j.ajche.s.2015030201.15

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    ACS Style

    I. J. Otaraku; F. O. Esemuze. Simulation of Loading Capacity of MDEA and DEA for Amine-Based CO2 Removal Using Hysys. Am. J. Chem. Eng. 2015, 3(2-1), 41-46. doi: 10.11648/j.ajche.s.2015030201.15

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    AMA Style

    I. J. Otaraku, F. O. Esemuze. Simulation of Loading Capacity of MDEA and DEA for Amine-Based CO2 Removal Using Hysys. Am J Chem Eng. 2015;3(2-1):41-46. doi: 10.11648/j.ajche.s.2015030201.15

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  • @article{10.11648/j.ajche.s.2015030201.15,
      author = {I. J. Otaraku and F. O. Esemuze},
      title = {Simulation of Loading Capacity of MDEA and DEA for Amine-Based CO2 Removal Using Hysys},
      journal = {American Journal of Chemical Engineering},
      volume = {3},
      number = {2-1},
      pages = {41-46},
      doi = {10.11648/j.ajche.s.2015030201.15},
      url = {https://doi.org/10.11648/j.ajche.s.2015030201.15},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajche.s.2015030201.15},
      abstract = {Besides meeting international stringent LNG product specification, this work will address the problem of off-spec product, high operational cost of acid gas (CO2) removal and pollution-free product, which is currently a huge global challenge. This work studied other ways by which amine unit can best be optimized to produce LNG gas with low CO2-content and high cost of acid gas removal. MDEA instead of DEA solvent-absorption method was chosen for the optimization using HYSYS 3.1 process simulator to predict the CO2 removal through the establishment of process operating conditions. A base case of amine-based CO2 removal process was used to create a steady-state and dynamic simulation using HYSYS 3.1 simulator. The differences between the values of acid gas loading capacity and CO2 content of the existing DEA operational value and HYSYS simulations were 0.00005 and 4.98 respectively. This established the advantage and accuracy of the HYSYS simulator and the developed models. The simulation results showed that the proposed MDEA had higher CO2 removal capacity of 89% to 55.02% for DEA and lower CO2 content of 0.0012 mole of CO2 in sweet gas to 0.014 mole of CO2 in DEA. MDEA had higher solvent recovery of 83% to 60% recovery for DEA. The pump size required to recycle MDEA with molar flow rate of 1877 Kg mol/hr. was smaller and less expensive than that required for DEA at 2371 Kg mol./hr. resulting in lower production cost.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Simulation of Loading Capacity of MDEA and DEA for Amine-Based CO2 Removal Using Hysys
    AU  - I. J. Otaraku
    AU  - F. O. Esemuze
    Y1  - 2015/05/09
    PY  - 2015
    N1  - https://doi.org/10.11648/j.ajche.s.2015030201.15
    DO  - 10.11648/j.ajche.s.2015030201.15
    T2  - American Journal of Chemical Engineering
    JF  - American Journal of Chemical Engineering
    JO  - American Journal of Chemical Engineering
    SP  - 41
    EP  - 46
    PB  - Science Publishing Group
    SN  - 2330-8613
    UR  - https://doi.org/10.11648/j.ajche.s.2015030201.15
    AB  - Besides meeting international stringent LNG product specification, this work will address the problem of off-spec product, high operational cost of acid gas (CO2) removal and pollution-free product, which is currently a huge global challenge. This work studied other ways by which amine unit can best be optimized to produce LNG gas with low CO2-content and high cost of acid gas removal. MDEA instead of DEA solvent-absorption method was chosen for the optimization using HYSYS 3.1 process simulator to predict the CO2 removal through the establishment of process operating conditions. A base case of amine-based CO2 removal process was used to create a steady-state and dynamic simulation using HYSYS 3.1 simulator. The differences between the values of acid gas loading capacity and CO2 content of the existing DEA operational value and HYSYS simulations were 0.00005 and 4.98 respectively. This established the advantage and accuracy of the HYSYS simulator and the developed models. The simulation results showed that the proposed MDEA had higher CO2 removal capacity of 89% to 55.02% for DEA and lower CO2 content of 0.0012 mole of CO2 in sweet gas to 0.014 mole of CO2 in DEA. MDEA had higher solvent recovery of 83% to 60% recovery for DEA. The pump size required to recycle MDEA with molar flow rate of 1877 Kg mol/hr. was smaller and less expensive than that required for DEA at 2371 Kg mol./hr. resulting in lower production cost.
    VL  - 3
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