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Modelling the precipitating non-aqueous CO2 capture system AMP-NMP, using the unsymmetric electrolyte NRTL

Sanku, Meher G. LU and Svensson, Helena LU (2019) In International Journal of Greenhouse Gas Control 89(Oct.). p.20-32
Abstract

A thermodynamic property model for the non-aqueous precipitating CO2 capture system 2-amino-2-methyl-1-propanol (AMP) in N-methyl-2-pyrrolidone (NMP) has been developed. The binary NRTL interaction parameters, electrolyte pair parameters, and equilibrium constant for the precipitation reaction were estimated from experimental data using the unsymmetrical electrolyte NRTL property method (ENRTL-RK) in ASPEN Plus®. The Gibbs energy and the enthalpy of formation of pure solid were calculated from the regressed equilibrium constant. A simple flash tank simulation was run based on the property model developed to compare experimental data with the predictions of the model. The property model was able to qualitatively... (More)

A thermodynamic property model for the non-aqueous precipitating CO2 capture system 2-amino-2-methyl-1-propanol (AMP) in N-methyl-2-pyrrolidone (NMP) has been developed. The binary NRTL interaction parameters, electrolyte pair parameters, and equilibrium constant for the precipitation reaction were estimated from experimental data using the unsymmetrical electrolyte NRTL property method (ENRTL-RK) in ASPEN Plus®. The Gibbs energy and the enthalpy of formation of pure solid were calculated from the regressed equilibrium constant. A simple flash tank simulation was run based on the property model developed to compare experimental data with the predictions of the model. The property model was able to qualitatively predict the behavior of the solubility curves and the heat of absorption for the system. This makes it possible to develop a rigorous plant model for the AMP in NMP system, which could be used to further assess and explore potential energy savings when using this amine solvent for CO2 capture.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
COcapture, Electrolyte NRTL, Model, Non-aqueous, Precipitating
in
International Journal of Greenhouse Gas Control
volume
89
issue
Oct.
pages
13 pages
publisher
Elsevier
external identifiers
  • scopus:85069727508
ISSN
1750-5836
DOI
10.1016/j.ijggc.2019.07.006
language
English
LU publication?
yes
id
41b4062c-ba9d-46ad-a566-a7e716da22ba
date added to LUP
2019-08-29 13:59:46
date last changed
2020-01-13 02:18:41
@article{41b4062c-ba9d-46ad-a566-a7e716da22ba,
  abstract     = {<p>A thermodynamic property model for the non-aqueous precipitating CO<sub>2</sub> capture system 2-amino-2-methyl-1-propanol (AMP) in N-methyl-2-pyrrolidone (NMP) has been developed. The binary NRTL interaction parameters, electrolyte pair parameters, and equilibrium constant for the precipitation reaction were estimated from experimental data using the unsymmetrical electrolyte NRTL property method (ENRTL-RK) in ASPEN Plus<sup>®</sup>. The Gibbs energy and the enthalpy of formation of pure solid were calculated from the regressed equilibrium constant. A simple flash tank simulation was run based on the property model developed to compare experimental data with the predictions of the model. The property model was able to qualitatively predict the behavior of the solubility curves and the heat of absorption for the system. This makes it possible to develop a rigorous plant model for the AMP in NMP system, which could be used to further assess and explore potential energy savings when using this amine solvent for CO<sub>2</sub> capture.</p>},
  author       = {Sanku, Meher G. and Svensson, Helena},
  issn         = {1750-5836},
  language     = {eng},
  number       = {Oct.},
  pages        = {20--32},
  publisher    = {Elsevier},
  series       = {International Journal of Greenhouse Gas Control},
  title        = {Modelling the precipitating non-aqueous CO<sub>2</sub> capture system AMP-NMP, using the unsymmetric electrolyte NRTL},
  url          = {http://dx.doi.org/10.1016/j.ijggc.2019.07.006},
  doi          = {10.1016/j.ijggc.2019.07.006},
  volume       = {89},
  year         = {2019},
}