Determination of kinetics of CO<sub>2</sub> absorption in solutions of 2‐amino‐2‐methyl‐1‐propanol using a microfluidic technique

Chen, Zheng; Zhao, Baohua; Wang, Kai; Luo, Guangsheng

doi:10.1002/aic.14972

Cited by 34 publications

(13 citation statements)

References 24 publications

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“…The reported configurations for microfluidic T‐junction devices can be generally classified into three types: conventional T‐junction, 19,20 capillary embedded T‐junction, 21,22 and capillary embedded step T‐junction, 23,24 as depicted in Figure 1. There is no denying that the mass transfer in the microchannel has been significantly enhanced when compared with the conventional equipment 5,25,26 . However, the mass transfer performance in the microchannel can still be further improved.…”

Section: Introductionmentioning

confidence: 99%

High‐frequency formation of bubble with short length in a capillary embedded step T‐junction microdevice

et al. 2021

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The performances of slug flow gas–liquid reactors are mostly determined by slug length, especially for the high gas–liquid flow rate ratio condition. This work is the first time to report the short bubble generated with high frequency in a capillary embedded step T‐junction microdevice. The aspect ratio of bubble could be around 0.5 with a frequency higher than 750 s−1 when the gas–liquid flow rate ratio is even higher than 5. The specific surface area of the generated gas–liquid microdispersion system is larger than 10,400 m2/m3. The short bubble formation process includes two periods, and its formation mechanism is mainly because of the relatively higher pressure drop in the step T‐junction, which provides a much higher breakup force for the squeezing flow. Finally, two models are developed to predict the bubble frequency and volume. This work provides a highly promising dispersion technology for the gas–liquid process intensification in microreactors.

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Section: Introductionmentioning

confidence: 99%

High‐frequency formation of bubble with short length in a capillary embedded step T‐junction microdevice

et al. 2021

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“…This is a reasonable outcome because the sustainability indices were not considered during CAMD in step 1.1 but as a subsequent 104 Protonation constant, standard molar enthalpy and entropy AMP (R2) Sartori et al 22 Chemical behaviour due to steric hindrance Harbou et al 105 Process behaviour (e.g. reboiler duty, plant operation) Zheng et al 106 Reaction kinetics MMEA (R3) Ma'mun et al 107 Absorption rate Suda et al 108 Absorption rate, mass transfer coefficient Ali et al 109 Reaction kinetics EMEA (R4) Kumar 110 Equilibrium solubility Yamada et al 19 Absorption capacity BEA (R5) Ma'mun et al 107 Absorption rate Yamada et al 19 Absorption capacity Ali et al 109 Reaction kinetics DMMEA (R6)…”

Section: Resultsmentioning

confidence: 99%

“…Fernandes et al 104 Carbamate stability Protonation constant, standard molar enthalpy and entropy AMP (R2) Sartori et al 22 Harbou et al 105 Zheng et al 106 Chemical behaviour due to steric hindrance Process behaviour (e.g., reboiler duty, plant operation) Reaction kinetics MMEA (R3) Ma'mun et al 107 Suda et al 108 Ali et al 109 Absorption rate Absorption rate, mass transfer coefficient Reaction kinetics EMEA (R4) Kumar 110 Yamada et al 19 Equilibrium solubility Absorption capacity BEA (R5)…”

Section: Stage 1 Of Solvent Selectionmentioning

confidence: 99%

Computer-aided molecular design and selection of CO₂ capture solvents based on thermodynamics, reactivity and sustainability

Παπαδόπουλος

Badr

Chremos

et al. 2016

Mol. Syst. Des. Eng.

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We propose a Computer Aided Molecular Design (CAMD) method which employs optimization to support the synthesis and selection of high performance molecules for use in process systems and to guide experimental efforts. The method can be used to address challenging applications where a) the desired molecules exhibit phase and chemical equilibrium, b) numerous combinations of molecules need to be evaluated, and c) multiple criteria must be considered to capture the effects of molecular chemistry on the process system performance. The method is applied to the design of solvents in chemical absorption processes for the separation of carbon dioxide (CO 2 ) from gas streams. The molecular design problem is first approached via a fast screening stage where molecules are evaluated based on the simultaneous consideration of multiple performance indices pertaining to thermodynamics, reactivity and sustainability. A few high-performance solvents are further evaluated using an advanced group contribution equation of state to predict reliably the highly non-ideal equilibrium behavior of solvent-water-CO 2 mixtures. Several promising novel solvents for CO 2 capture are proposed and can now be assessed experimentally. The proposed method can readily be applied to other chemical absorption processes to accelerate the identification of novel solvents. AbstractThe identification of improved carbon dioxide (CO 2 ) capture solvents remains a challenge due to the vast number of potentially-suitable molecules. We propose an optimization-based computer-aided molecular design (CAMD) method to identify and select, from hundreds of thousands of possibilities, a few solvents of optimum performance for CO 2 chemisorption processes, as measured by a comprehensive set of criteria. The first stage of the approach consists in a fast screening stage where solvent structures are evaluated based on the simultaneous consideration of important pure component properties reflecting thermodynamic, kinetic, and sustainability behaviour. The impact of model uncertainty is considered through a systematic method that employs multiple models for the prediction of performance indices. In a second stage, high-performance solvents are further selected and evaluated using a more detailed thermodynamic model, namely the group-contribution statistical associating fluid theory for square well potentials (SAFT-γ SW), to predict accurately the highly non-ideal chemical and phase equilibrium of the solvent-water-CO 2 mixtures. The proposed CAMD method is applied to the design of novel molecular structures and to the screening of a dataset of commercially available amines. New molecular structures and commercially-available compounds that have received little attention as CO 2 capture solvents are successfully identified and assessed using the proposed approach. We recommend that these solvents given priority in experimental studies to identify new compounds.

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“…In this case, ln k 2 of the selected amines were plotted against their pK a values to obtain the plot shown in Figure 9. The pK a values of these amines were obtained from the works of Tagiuri et al, 35 Hamborg et al, 36 Bower et al 37 and Littel et al 26 The k 2 values of AMP were taken from the work of Zheng et al, 38 those of DEA and DIPA were taken from the work of Xu et al, 33 and those of MEA were taken from the work of Blauwhoff et al 14 It is to be noted that all k 2 values of the mentioned amines were predicted using a zwitterion mechanism. From Figure 9, we observe that MEA has the highest ln k 2 value followed by AB.…”

Section: By Plotting Kmentioning

confidence: 99%

Reaction Kinetics of Carbon Dioxide with 2-Amino-1-butanol in Aqueous Solutions Using a Stopped-Flow Technique

Benamor

Mahmud

Nasser

et al. 2018

Ind. Eng. Chem. Res.

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Carbon capture and management plays an important role in the development of new technologies to mitigate anthropogenic global warming. In this work, for the first time, the kinetics of CO2 with aminobutanol (AB) using a stopped-flow method are presented. The temperature changed from 293 to 313 K for a total amine concentration up to 0.3 mol/L. The kinetics data were analyzed using both zwitterion and termolecular reaction mechanisms with a preference to the zwitterion mechanism. AB was found to react with CO2 (aq) with k 2 (M–1 s–1) = 2.93 × 109 exp(−4029.9/T (K)) with an estimated activation energy of 33.51 kJ/mol. Compared to other popular amines, CO2 reaction with aminobutanol has faster kinetics than that of CO2 with diethanolamine (DEA) and 2-amino-2-methyl-1-propanol (AMP) but slower than that with monoethanolamine (MEA). The Brønsted relationship between the rate constant (k 2) and pK a values was found to predict well the rate constant with an average absolute deviation (AAD) of 6.1%.

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Determination of kinetics of CO₂ absorption in solutions of 2‐amino‐2‐methyl‐1‐propanol using a microfluidic technique

Cited by 34 publications

References 24 publications

High‐frequency formation of bubble with short length in a capillary embedded step T‐junction microdevice

High‐frequency formation of bubble with short length in a capillary embedded step T‐junction microdevice

Computer-aided molecular design and selection of CO₂ capture solvents based on thermodynamics, reactivity and sustainability

Reaction Kinetics of Carbon Dioxide with 2-Amino-1-butanol in Aqueous Solutions Using a Stopped-Flow Technique

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Determination of kinetics of CO2 absorption in solutions of 2‐amino‐2‐methyl‐1‐propanol using a microfluidic technique

Cited by 34 publications

References 24 publications

High‐frequency formation of bubble with short length in a capillary embedded step T‐junction microdevice

High‐frequency formation of bubble with short length in a capillary embedded step T‐junction microdevice

Computer-aided molecular design and selection of CO2 capture solvents based on thermodynamics, reactivity and sustainability

Reaction Kinetics of Carbon Dioxide with 2-Amino-1-butanol in Aqueous Solutions Using a Stopped-Flow Technique

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Determination of kinetics of CO₂ absorption in solutions of 2‐amino‐2‐methyl‐1‐propanol using a microfluidic technique

Computer-aided molecular design and selection of CO₂ capture solvents based on thermodynamics, reactivity and sustainability