Rigorous rate-based model for CO2 capture via monoethanolamine-based solutions: effect of kinetic models, mass transfer, and holdup correlations on prediction accuracy

Mahsa Amirkhosrow; José Francisco Pérez-Calvo; Matteo Gazzani; Marco Mazzotti; Ebrahim Nemati Lay

doi:10.1080/01496395.2020.1784943

Rigorous rate-based model for CO₂ capture via monoethanolamine-based solutions: effect of kinetic models, mass transfer, and holdup correlations on prediction accuracy

Mahsa Amirkhosrow, José Francisco Pérez-Calvo, Matteo Gazzani, Marco Mazzotti, Ebrahim Nemati Lay^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

The existing rate-based modeling of monoethanolamine (MEA) solvent for CO₂ capturing has been improved using different kinetic models. Different models obtained from a combination of 15 kinetic models and 4 mass transfer correlations have been applied. The results show that the mass transfer correlation is instrumental for a reliable rate-based model. The resulting framework predicts the temperature and composition profiles at both liquid and gas phases with good accuracy. Overall, this allowed for improved prediction of (i) the CO₂ capture performance, (ii) the CO₂ partial pressure in output gas, and (iii) the temperature and CO₂ composition profiles in the liquid.

Original language	English
Pages (from-to)	1491-1509
Number of pages	19
Journal	Separation Science and Technology (Philadelphia)
Volume	56
Issue number	9
Early online date	2020
DOIs	https://doi.org/10.1080/01496395.2020.1784943
Publication status	Published - 2021

Keywords

absorber
CO capture
kinetic model
mass transfer correlation
monoethanolamine
rate-based

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10.1080/01496395.2020.1784943

Rigorous rate based model for CO2 capture via monoethanolamine based solutions effect of kinetic models mass transfer and holdup correlations onFinal published version, 6.17 MBLicence: Taverne

Cite this

Amirkhosrow, M., Pérez-Calvo, J. F., Gazzani, M., Mazzotti, M., & Nemati Lay, E. (2021). Rigorous rate-based model for CO₂ capture via monoethanolamine-based solutions: effect of kinetic models, mass transfer, and holdup correlations on prediction accuracy. Separation Science and Technology (Philadelphia), 56(9), 1491-1509. https://doi.org/10.1080/01496395.2020.1784943

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title = "Rigorous rate-based model for CO2 capture via monoethanolamine-based solutions: effect of kinetic models, mass transfer, and holdup correlations on prediction accuracy",

abstract = "The existing rate-based modeling of monoethanolamine (MEA) solvent for CO2 capturing has been improved using different kinetic models. Different models obtained from a combination of 15 kinetic models and 4 mass transfer correlations have been applied. The results show that the mass transfer correlation is instrumental for a reliable rate-based model. The resulting framework predicts the temperature and composition profiles at both liquid and gas phases with good accuracy. Overall, this allowed for improved prediction of (i) the CO2 capture performance, (ii) the CO2 partial pressure in output gas, and (iii) the temperature and CO2 composition profiles in the liquid.",

keywords = "absorber, CO capture, kinetic model, mass transfer correlation, monoethanolamine, rate-based",

author = "Mahsa Amirkhosrow and P{\'e}rez-Calvo, {Jos{\'e} Francisco} and Matteo Gazzani and Marco Mazzotti and {Nemati Lay}, Ebrahim",

note = "Publisher Copyright: {\textcopyright} 2020 Taylor & Francis Group, LLC.",

year = "2021",

doi = "10.1080/01496395.2020.1784943",

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Amirkhosrow, M, Pérez-Calvo, JF, Gazzani, M, Mazzotti, M & Nemati Lay, E 2021, 'Rigorous rate-based model for CO₂ capture via monoethanolamine-based solutions: effect of kinetic models, mass transfer, and holdup correlations on prediction accuracy', Separation Science and Technology (Philadelphia), vol. 56, no. 9, pp. 1491-1509. https://doi.org/10.1080/01496395.2020.1784943

Rigorous rate-based model for CO₂ capture via monoethanolamine-based solutions: effect of kinetic models, mass transfer, and holdup correlations on prediction accuracy. / Amirkhosrow, Mahsa; Pérez-Calvo, José Francisco; Gazzani, Matteo et al.
In: Separation Science and Technology (Philadelphia), Vol. 56, No. 9, 2021, p. 1491-1509.

Research output: Contribution to journal › Article › Academic › peer-review

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AU - Pérez-Calvo, José Francisco

AU - Gazzani, Matteo

AU - Mazzotti, Marco

AU - Nemati Lay, Ebrahim

PY - 2021

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KW - absorber

KW - CO capture

KW - kinetic model

KW - mass transfer correlation

KW - monoethanolamine

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