Important Aspects Regarding the Chemical Stability of Aqueous Amine Solvents for CO<sub>2</sub> Capture

Vevelstad, Solrun Johanne; Buvik, Vanja; Knuutila, Hanna; Grimstvedt, Andreas; Silva, Eirik Falck da

doi:10.1021/acs.iecr.2c02344

Cited by 13 publications

(18 citation statements)

References 139 publications

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“…This is followed by tertiary amines and then primary amines. 24,29 3.1.2. Effect of the Alkyl Chain Length.…”

Section: Amine Structural Correlations On Amine Degradationmentioning

confidence: 99%

“…The hydrolysis of the imine radical then further occurs to produce an aldehyde. , In hydrogen abstraction, the hydrogen is likely extracted from an α- and/or β-carbon to the nitrogen atom and also from the nitrogen itself. Then, an internal and external amine radical transfer is performed to produce ammonium aldehydes and aldehyde radicals as the main degradation products. ,− Figure shows a simplified initial step of the radical-based oxidative degradation pathway of the amine.…”

Section: Introductionmentioning

confidence: 99%

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Development of a Predictive Model to Correlate the Chemical Structure of Amines with Their Oxidative Degradation Rate in a Post-Combustion Amine-Based CO₂ Capture Process Using Multiple Linear Regression and Machine Learning Regression Approaches

Muchan,

Kruthasoot,

Kongton

et al. 2024

ACS Omega

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In this study, the degradation behavior of 30 different amines was investigated, which were categorized into four distinct groups: alkanolamines, sterically hindered alkanolamines, multialkylamines, and cyclic amines. These experiments were conducted over a period of 14 days at a temperature of 60 °C, with a feed gas comprising 99.9% O 2 flowing at a rate of 200 mL/min. The primary objective was to establish a correlation between the chemical structures of these amines and their susceptibilities to degradation. To assess this, the concentration of the amines at various time points was measured to determine their degradation rates. Results showed that secondary amines exhibited degradation rates higher than those of primary and tertiary amines. Amines with cyclic structures demonstrated lower oxidative degradation rates. Longer alkyl chain lengths decreased degradation rates in all amine types because of their electronic and steric hindrance properties. A higher number of hydroxyl groups increased the degradation rate by destabilizing the free radical. An increase in hydroxyl groups in nonsterically hindered amines increased the degradation rate by decreasing free radical stability. In contrast, for sterically hindered amines, an increase in hydroxyl groups decreased the degradation rate because the steric hindrance effect is now more dominant than the electron-withdrawing effect. An increase in the number of amino groups led to higher degradation rates due to the presence of more reactive sites for free radical formation. Amines with tert-alkyl groups exhibited higher degradation rates than those with straight chains. Moreover, branched alkyl groups located between amino and hydroxyl groups significantly increased the degradation rates. Two degradation models, a semiempirical statistical model and a CatBoost machine learning regression model, were developed to predict amine degradation rates based on their chemical structure and relevant properties. To train these models, a data set of 27 different amines was used, while another set of 3 amines was reserved for testing the model's predictive performance. The average absolute deviations (AAD) achieved were, respectively, 22.2 and 0.3%.

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“…This is followed by tertiary amines and then primary amines. 24,29 3.1.2. Effect of the Alkyl Chain Length.…”

Section: Amine Structural Correlations On Amine Degradationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of a Predictive Model to Correlate the Chemical Structure of Amines with Their Oxidative Degradation Rate in a Post-Combustion Amine-Based CO₂ Capture Process Using Multiple Linear Regression and Machine Learning Regression Approaches

Muchan,

Kruthasoot,

Kongton

et al. 2024

ACS Omega

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“…Process equipment are designed to work with absorption liquids that fall within a certain range of physicochemical properties. Absorbing solvents become more dense and viscous when HSSs and other degradation products are present in high concentrations, [83][84][85] decreasing the efficiency of heat and mass transmission in the existing equipment and increasing the power required to circulate solutions in the system. Changes in the surface tension of alkanolamine may cause the foaming in the solution, and the influence of foaming has been previously described.…”

Section: Effect On Operational Conditions (Physicochemical Properties...mentioning

confidence: 99%

Handling heat‐stable salts in post‐combustion CO₂ capture: A detailed survey

Emori,

Udoh,

Ekerenam

et al. 2023

Greenhouse Gases

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The generation of heat‐stable salts (HSSs) in alkanolamine solutions for CO2 capture processes, which is adapted for power plant technologies, exists irrespective of the class of amine solution used for the capture process. Their presence do not only trigger decrements in the CO2 absorption capacities of the solvents and contribute to further alkanolamine degradation, but also result in foaming and loss of solvents, which impacts system economics and threatens the environment. HSSs also promote the corrosiveness of the metallic structures of capture systems by lowering the pH and increasing the conductivity of the absorbent solutions. Overall, these effects substantially subvert the reliability and integrity of CO2 capture units. This survey affords sufficient background on the existence of HSSs by unraveling the flow process in a typical alkanolamine‐based CO2 capture unit with respect to their formation points and potential threats. Furthermore, the major HSSs removal and alkanolamine reclamation methodologies (electrodialysis, distillation, ion exchange, electromagnetic separation, and solvent extraction) were comprehensively explored. We believe that this review paper will benefit researchers across disciplines as we continue to explore new and complex solvent formulations to minimize the cost of CO2 capture while maximizing efficiency. © 2023 Society of Chemical Industry and John Wiley & Sons, Ltd.

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“…The 30 wt % aqueous monoethanolamine (MEA) solution is considered a typical benchmark solvent for CO 2 capture . High energy penalty for solvent regeneration corrosivity of the solvent, , high solvent losses due to oxidative and thermal degradations, − and environmental concerns due to possible emissions are major issues that still need to be addressed for an effective operation of PCC.…”

Section: Introductionmentioning

confidence: 99%

Demonstration of CO₂ Capture Process Monitoring and Solvent Degradation Detection by Chemometrics at the Technology Centre Mongstad CO₂ Capture Plant

Wagaarachchige,

Idris,

Khatibzadeh

et al. 2023

Ind. Eng. Chem. Res.

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Solvent management is one of the important current challenges in post combustion carbon capture (PCC) technology development. Using large-scale 1960 h test campaign data (Technology Centre Mongstad, Norway, 2015 MEA Test), we demonstrate a combination of multivariate methods (PLS-R, MSPC) and process analytical spectroscopy (FT-IR) as a tool to monitor and control PCC process performance. Two MEA solvent monitoring models, total inorganic carbon (TIC) content and total alkalinity (TA), were prepared. In long-term solvent monitoring, PLS-R model prediction uncertainty increased due to gradual solvent changes, e.g., solvent degradation and impurity accumulation. Hence, we show a specific model update methodology to keep the models updated, leading to good long-term monitoring ability of the TIC and TA models. In addition to reliable long-term solvent monitoring ability, a new principle for follow-up of thermal solvent reclaiming was demonstrated. This shows that the need for solvent reclaiming can be quantified. Furthermore, this methodology is an indicator to see the actual solvent deviation from the fresh solvent. This quantification may provide an input for “start” and “end of reclaiming operation” identification. Hence, we demonstrate that it is possible to extract information for process performance follow-up, solvent monitoring, and solvent reclaiming from a single spectroscopic instrument.

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Important Aspects Regarding the Chemical Stability of Aqueous Amine Solvents for CO₂ Capture

Cited by 13 publications

References 139 publications

Development of a Predictive Model to Correlate the Chemical Structure of Amines with Their Oxidative Degradation Rate in a Post-Combustion Amine-Based CO₂ Capture Process Using Multiple Linear Regression and Machine Learning Regression Approaches

Development of a Predictive Model to Correlate the Chemical Structure of Amines with Their Oxidative Degradation Rate in a Post-Combustion Amine-Based CO₂ Capture Process Using Multiple Linear Regression and Machine Learning Regression Approaches

Handling heat‐stable salts in post‐combustion CO₂ capture: A detailed survey

Demonstration of CO₂ Capture Process Monitoring and Solvent Degradation Detection by Chemometrics at the Technology Centre Mongstad CO₂ Capture Plant

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Important Aspects Regarding the Chemical Stability of Aqueous Amine Solvents for CO2 Capture

Cited by 13 publications

References 139 publications

Development of a Predictive Model to Correlate the Chemical Structure of Amines with Their Oxidative Degradation Rate in a Post-Combustion Amine-Based CO2 Capture Process Using Multiple Linear Regression and Machine Learning Regression Approaches

Development of a Predictive Model to Correlate the Chemical Structure of Amines with Their Oxidative Degradation Rate in a Post-Combustion Amine-Based CO2 Capture Process Using Multiple Linear Regression and Machine Learning Regression Approaches

Handling heat‐stable salts in post‐combustion CO2 capture: A detailed survey

Demonstration of CO2 Capture Process Monitoring and Solvent Degradation Detection by Chemometrics at the Technology Centre Mongstad CO2 Capture Plant

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Product

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Important Aspects Regarding the Chemical Stability of Aqueous Amine Solvents for CO₂ Capture

Development of a Predictive Model to Correlate the Chemical Structure of Amines with Their Oxidative Degradation Rate in a Post-Combustion Amine-Based CO₂ Capture Process Using Multiple Linear Regression and Machine Learning Regression Approaches

Development of a Predictive Model to Correlate the Chemical Structure of Amines with Their Oxidative Degradation Rate in a Post-Combustion Amine-Based CO₂ Capture Process Using Multiple Linear Regression and Machine Learning Regression Approaches

Handling heat‐stable salts in post‐combustion CO₂ capture: A detailed survey

Demonstration of CO₂ Capture Process Monitoring and Solvent Degradation Detection by Chemometrics at the Technology Centre Mongstad CO₂ Capture Plant