Dynamic modelling and control of a pilot plant for post-combustion CO2 capture

Léonard, Grégoire; Mogador, Bruno Cabeza; Belletante, Ségolène; Heyen, Georges

doi:10.1016/b978-0-444-63234-0.50076-2

Cited by 21 publications

(17 citation statements)

References 11 publications

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“…This kinetics model for MEA oxidative and thermal degradation with CO 2 has been included into a global rate-based process model developed in Aspen Plus (Léonard and Heyen, 2013). This model represents the pilot plant described by Knudsen et al (2011), treating a flue gas flow rate of 5000 Nm³/h.…”

Section: Model Constructionmentioning

confidence: 99%

Assessment of Solvent Degradation within a Global Process Model of Post-Combustion CO2 Capture

Léonard

Toye

Heyen

2014

Computer Aided Chemical Engineering

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Solvent degradation may be a major drawback for the large-scale implementation of post-combustion CO 2 capture due to amine consumption and emission of degradation products. However, its influence on the process operations has rarely been studied. In the present work, a kinetics model describing solvent oxidative and thermal degradation has been developed based on own experimental results for the benchmark solvent, i.e. 30 wt% monoethanolamine (MEA) in water. This model has been included into a global Aspen Plus model of the CO 2 capture process. The selected process modelling approaches are described in the present work. Using the resulting simulation model, optimal operating conditions can be identified to minimize both the energy requirement and the solvent degradation in the process. This kind of process model assessing solvent degradation may contribute to the design of large-scale CO 2 capture plants to consider not only the process energy penalty, but also its environmental penalty. Indeed, both aspects are relevant for the large-scale deployment of the CO 2 capture technology.

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Section: Model Constructionmentioning

confidence: 99%

Assessment of Solvent Degradation within a Global Process Model of Post-Combustion CO2 Capture

Léonard

Toye

Heyen

2014

Computer Aided Chemical Engineering

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“…Several steps were necessary to achieve the final flowsheet represented in Fig. 2, some of them being described in Léonard and Heyen (2011) and in Léonard et al (2013Léonard et al ( , 2014c. This model represents the pilot plant described by Knudsen et al (2011), treating a flue gas flow rate of 5000 Nm 3 /h.…”

Section: Model Descriptionmentioning

confidence: 99%

Influence of process operating conditions on solvent thermal and oxidative degradation in post-combustion CO2 capture

Léonard

Crosset

Toye

et al. 2015

Computers & Chemical Engineering

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Monoethanolamine thermal and oxidative degradation Process modeling Plant design Integrated experimental and modeling study a b s t r a c tThe CO 2 post-combustion capture with amine solvents is modeled as a complex system interconnecting process energy consumption and solvent degradation and emission. Based on own experimental data, monoethanolamine degradation is included into a CO 2 capture process model. The influence of operating conditions on solvent loss is validated with pilot plant data from literature. Predicted solvent consumption rates are in better agreement with plant data than any previous work, and pathways are discussed to further refine the model. Oxidative degradation in the absorber is the largest cause of solvent loss while thermal degradation does not appear as a major concern. Using a single model, the process exergy requirement decreases by 10.8% and the solvent loss by 11.1% compared to our base case. As a result, this model provides a practical tool to simultaneously minimize the process energy requirement and the solvent consumption in post-combustion CO 2 capture plants with amine solvents.

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“…Among these variables, the control of the CO 2 capture rate and reboiler temperature are of the highest importance because the CO 2 emission level must be controlled to satisfy the environmental demand and the temperature in the reboiler should be maintained to keep the balance between energy supply and consumption. The lean solvent flow rate and extracted steam flow rate have the most significant influence on the two key controlled variables, as demonstrated in references [3,7,12,30,39]. For these reasons, the dynamic relationship between these four key variables is studied in this paper, which results in a 2 × 2 model structure for the nonlinearity analysis and the construction of the multi-linear model.…”

Section: MV Imentioning

confidence: 99%

“…In recent years, monoethanolamine (MEA)-based post-combustion CO 2 capture technology has been extensively studied to capture the CO 2 from the coal-fired power plants [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. The MEA-based CO 2 capture technique has several distinguishing features, such as a high CO 2 capture level, easy integration to power plants without much reformation of the existing plants, and relatively low construction cost, which makes it the most promising technique for commercial use [1,17].…”

Section: Introductionmentioning

confidence: 99%

Nonlinearity Analysis and Multi-Model Modeling of an MEA-Based Post-Combustion CO2 Capture Process for Advanced Control Design

Liang

et al. 2018

Applied Sciences

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Abstract:The monoethanolamine (MEA)-based post-combustion CO 2 capture plant must operate flexibly under the variation of the power plant load and the desired CO 2 capture rate. However, in the presence of process nonlinearity, conventional linear control strategy cannot achieve the best performance under a wide operation range. Considering this problem, this paper systematically studies the multi-model modeling of the MEA-based CO 2 capture process for the purpose of (1) implementing well-developed linear control techniques to the design of an advanced controller and (2) achieving a wide-range flexible operation of the CO 2 capture process. The local linear models of the CO 2 capture process are firstly established at given operating points using the method of subspace identification. Then the nonlinearity distribution at different loads of an upstream power plant and different CO 2 capture rates is investigated via the gap metric. Finally, based on the nonlinearity investigation results, the suitable linear models are selected and combined together to form the multi-model system. The proposed model is validated using the measurement data, which is generated from a post-combustion CO 2 capture model developed in the go-carbon capture and storage (gCCS) simulation platform. As the proposed multi-linear model has a simple mathematical expression and high prediction accuracy, it can be directly employed as the control model of a practical advanced control strategy to achieve a wide operating range control of the CO 2 capture process.

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Dynamic modelling and control of a pilot plant for post-combustion CO2 capture

Cited by 21 publications

References 11 publications

Assessment of Solvent Degradation within a Global Process Model of Post-Combustion CO2 Capture

Assessment of Solvent Degradation within a Global Process Model of Post-Combustion CO2 Capture

Influence of process operating conditions on solvent thermal and oxidative degradation in post-combustion CO2 capture

Nonlinearity Analysis and Multi-Model Modeling of an MEA-Based Post-Combustion CO2 Capture Process for Advanced Control Design

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