CO2 absorption from simulated flue gas in a bubble column

Abishek Kasturi; Austin Ladshaw; Sotira Yiacoumi; Jorge Gabitto; Kathleen Garrabrant; Radu Custelcean; Costas Tsouris

doi:10.1080/01496395.2019.1617745

CO₂ absorption from simulated flue gas in a bubble column

Abishek Kasturi, Austin Ladshaw, Sotira Yiacoumi, Jorge Gabitto, Kathleen Garrabrant, Radu Custelcean, Costas Tsouris

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

4 Scopus citations

Abstract

Carbon dioxide (CO₂) absorption from power plant generated flue gas is investigated for CO₂ emissions reduction. Amino acid alkaline solvents have the potential to reduce the energy required for solvent regeneration. This project is focused on CO₂ absorption by amino acid alkaline solvents in a bubble column. Important parameters characterizing the reactor, e.g., bubble size, liquid-phase dispersion coefficient, and gas holdup, are experimentally determined. A theoretical model based upon transient mass and energy balances for the chemical species involved is presented. Simulation results are compared to experimental data. The model can be used to predict, optimize, and control CO₂ absorption in industrial-scale applications.

Original language	English
Pages (from-to)	2034-2046
Number of pages	13
Journal	Separation Science and Technology (Philadelphia)
Volume	54
Issue number	13
DOIs	https://doi.org/10.1080/01496395.2019.1617745
State	Published - Sep 2 2019

Funding

This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/ downloads/doe-public-access-plan). for this research was provided by the Office of Technology Transitions of the U.S. Department of Energy, under Technology Commercialization Fund [Grant # TCF-17-13299]. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). Funding for this research was provided by the Office of Technology Transitions of the U.S. Department of Energy, under Technology Commercialization Fund [Grant # TCF-17-13299].

Funders	Funder number
DOE Public Access Plan
LLC	DE-AC05-00OR22725
Office of Technology Transitions of the
UT-Battelle
United States Government
U.S. Department of Energy	TCF-17-13299

Keywords

CO absorption
CO capture
amino acid alkaline solvents
bubble column

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1080/01496395.2019.1617745

Cite this

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abstract = "Carbon dioxide (CO2) absorption from power plant generated flue gas is investigated for CO2 emissions reduction. Amino acid alkaline solvents have the potential to reduce the energy required for solvent regeneration. This project is focused on CO2 absorption by amino acid alkaline solvents in a bubble column. Important parameters characterizing the reactor, e.g., bubble size, liquid-phase dispersion coefficient, and gas holdup, are experimentally determined. A theoretical model based upon transient mass and energy balances for the chemical species involved is presented. Simulation results are compared to experimental data. The model can be used to predict, optimize, and control CO2 absorption in industrial-scale applications.",

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AU - Custelcean, Radu

AU - Tsouris, Costas

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AB - Carbon dioxide (CO2) absorption from power plant generated flue gas is investigated for CO2 emissions reduction. Amino acid alkaline solvents have the potential to reduce the energy required for solvent regeneration. This project is focused on CO2 absorption by amino acid alkaline solvents in a bubble column. Important parameters characterizing the reactor, e.g., bubble size, liquid-phase dispersion coefficient, and gas holdup, are experimentally determined. A theoretical model based upon transient mass and energy balances for the chemical species involved is presented. Simulation results are compared to experimental data. The model can be used to predict, optimize, and control CO2 absorption in industrial-scale applications.

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