Dynamic modeling and validation of absorber and desorber columns for post-combustion CO2 capture

Gáspár, Jozsef; Cormoş, Ana-Maria

doi:10.1016/j.compchemeng.2010.10.001

Cited by 94 publications

(27 citation statements)

References 24 publications

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“…5a has a shape typical for absorber columns as demonstrated by experimental investigations as well as 1D simulation models (see e.g. Gaspar and Cormos, 2010;Harun et al, 2011).…”

Section: Fig 5 Distributions Of Gas and Liquid Temperatures (A) Anmentioning

confidence: 99%

CFD Modelling of CO2 Capture in a Packed Bed by Chemical Absorption

Asendrych¹,

Niegodajew²,

Drobniak³

2013

Chemical and Process Engineering

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The paper deals with numerical modelling of carbon dioxide capture by amine solvent from flue gases in post-combustion technology. A complex flow system including a countercurrent two-phase flow in a porous region, chemical reaction and heat transfer is considered to resolve CO 2 absorption. In order to approach the hydrodynamics of the process a two-fluid Eulerian model was applied. At the present stage of model development only the first part of the cycle, i.e. CO 2 absorption was included. A series of parametric simulations has shown that carbon dioxide capture efficiency is mostly influenced by the ratio of liquid (aqueous amine solution) to gas (flue gases) mass fluxes. Good consistency of numerical results with experimental data acquired at a small-scale laboratory CO 2 capture installation (at the Institute for Chemical Processing of Coal, Zabrze, Poland) has proved the reliability of the model.

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“…5a has a shape typical for absorber columns as demonstrated by experimental investigations as well as 1D simulation models (see e.g. Gaspar and Cormos, 2010;Harun et al, 2011).…”

Section: Fig 5 Distributions Of Gas and Liquid Temperatures (A) Anmentioning

confidence: 99%

CFD Modelling of CO2 Capture in a Packed Bed by Chemical Absorption

Asendrych¹,

Niegodajew²,

Drobniak³

2013

Chemical and Process Engineering

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“…The assumption is valid for cases involving solvents with rapid kinetics such as MEA (Kenig et al 2001). Reaction kinetics have also been described more accurately by introducing an enhancement factor (Kvamsdal and Rochelle 2008;Kvamsdal et al 2009;Gáspár and Cormoş 2011;Harun et al 2011;Khan et al 2011;Flø 2015) or using actual reaction kinetics model (Aboudheir et al 2003;Posch and Haider, 2013).…”

Section: Model Developmentmentioning

confidence: 99%

“…Dynamic models by Lawal et al (2009a, b), Lawal et al (2010), Gáspár and Cormoş (2011) and MacDowell et al (2013) were validated at steady state conditions only over limited conditions at pilot scale due to lack of experimental data for detailed validations as at the time of their publications (Chikukwa et al 2012). Validation of dynamic models under state steady state and dynamic conditions have also been attempted by Biliyok et al (2012).…”

Section: Model Developmentmentioning

confidence: 99%

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Current status and future development of solvent-based carbon capture

Oko

Wang

Joel

2017

Int J Coal Sci Technol

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Solvent-based carbon capture is the most commercially-ready technology for economically and sustainably reaching carbon emission reduction targets in the power sector. Globally, the technology has been deployed to deal with flue gases from large scale power plants and different carbon-intensive industries. The success of the technology is due to significant R&D activities on the process development and decades of industrial experience on acid gas removal processes from gaseous mixtures. In this paper, current status of PCC based on chemical absorption-commercial deployment and demonstration projects, analysis of different solvents and process configurations-is reviewed. Although some successes have been recorded in developing this technology, its commercialization has been generally slow as evidenced in the cancellation of high profile projects across the world. This is partly due to the huge cost burden of the technology and unpredictable government policies. Different research directions, namely new process development involving process intensification, new solvent development and a combination of both, are discussed in this paper as possible pathways for reducing the huge cost of the technology.

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“…For validation of the developed model a considerable number of trials were chosen to compare simulation results with plant data (NIST, 2011;Gaspar et al, 2010;Perry et al, 1999;Tobiensen et al, 2008, Silva et al, 2003 and the two most representative cases are presented in Table 1, which emphasizes the small differences between the plant data and simulated values. The accuracy of the distributed parameter nonlinear mathematical model of the process is highlighted by the evolutions of 2-ethyl-hexenal, 2-ethyl-hexanol concentrations and the temperature evolution along the reactor height, presented in Figure 2 …”

Section: Mathematical Models Distributed Parameter Nonlinear Mathematmentioning

confidence: 99%

Advanced Control of a Complex Chemical Process

Both

Dulf

Cormoş

2016

Braz. J. Chem. Eng.

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-Three phase catalytic hydrogenation reactors are important reactors with complex behavior due to the interaction among gas, solid and liquid phases with the kinetic, mass and heat transfer mechanisms. A nonlinear distributed parameter model was developed based on mass and energy conservation principles. It consists of balance equations for the gas and liquid phases, so that a system of partial differential equations is generated. Because detailed nonlinear mathematical models are not suitable for use in controller design, a simple linear mathematical model of the process, which describes its most important properties, was determined. Both developed mathematical models were validated using plant data. The control strategies proposed in this paper are a multivariable Smith Predictor PID controller and multivariable Smith Predictor structure in which the primary controllers are derived based on Internal Model Control. Set-point tracking and disturbance rejection tests are presented for both methods based on scenarios implemented in Matlab/SIMULINK.

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Dynamic modeling and validation of absorber and desorber columns for post-combustion CO2 capture

Cited by 94 publications

References 24 publications

CFD Modelling of CO2 Capture in a Packed Bed by Chemical Absorption

CFD Modelling of CO2 Capture in a Packed Bed by Chemical Absorption

Current status and future development of solvent-based carbon capture

Advanced Control of a Complex Chemical Process

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