Characterization of monoethanolamine + potassium lysinate blend solution as a new chemical absorbent for CO 2 capture

Ramazani, R.; Samsami, Aria; Jahanmiri, A.; Bruggen, Bart Van der; Mazinani, Saeed

doi:10.1016/j.ijggc.2016.05.005

Cited by 30 publications

(16 citation statements)

References 27 publications

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“…An extractive distillation strategy was proposed for the separation of CO 2 were created for the process simulation and optimization via Aspen Plus. The experimental vapor-liquid equilibrium data for CO 2 -IL, C 2 H 6 -IL systems were fitted by the PR-EOS model, and the parameters were calculated to estimate the thermodynamic properties for the simulation of the ionic liquid extractive distillation process.…”

Section: Discussionmentioning

confidence: 99%

“…The main solvents currently used are chemical absorption solvents (aqueous amine solutions and inorganic bases, e.g. potassium carbonate and aqueous ammonia solutions) and physical absorption solvents (low temperature methanol, polyethylene glycol dimethyl ether, propylene carbonate ester and N‐methylpyrrolidone). However, for systems with azeotropes or close boiling point mixtures, conventional absorption and distillation technologies cannot achieve effective segregation.…”

Section: Introductionmentioning

confidence: 99%

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Process design of carbon dioxide and ethane separation using ionic liquid by extractive distillation

Zhu

Geng

et al. 2017

J of Chemical Tech & Biotech

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BACKGROUND Carbon dioxide and ethane easily form a binary azeotrope under liquefied conditions. An extractive distillation process for the separation of carbon dioxide and ethane using the ionic liquids [bmim][Tf2N], [emim][Tf2N] and [emim][EtSO4] as solvents was explored. The thermodynamic and physical property parameters of each ionic liquid and their thermo‐physical properties that correlated with the experimental data were used to create the ionic liquid components and conduct the process simulation. RESULT Based on the analysis of its physical properties and relative volatilities, [emim][Tf2N] is the best option as a solvent for extractive distillation separation compared with other ionic liquids. Based on the sensitivity analysis optimization procedure, the minimum total annual cost, carbon dioxide emissions and thermodynamic efficiency were calculated. Compared with traditional extraction distillation, the total annual cost and carbon dioxide emissions of the process using [emim][Tf2N] as a solvent decreased by 62% and 31%, respectively. The thermodynamic efficiency (η) of the electricity generated from hydropower increase by 0.7%. CONCLUSION The results show that an ionic liquid extractive distillation process using an ionic liquid as the entrainer performs better than a process using traditional organic solvents in terms of economics. Due to the non‐volatility of ionic liquids, a flash tank was used instead of a solvent recovery column to efficiently realize solvent recovery. © 2017 Society of Chemical Industry

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Process design of carbon dioxide and ethane separation using ionic liquid by extractive distillation

Zhu

Geng

et al. 2017

J of Chemical Tech & Biotech

View full text Add to dashboard Cite

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“…Moreover, experimental results are normally reported in limited ranges of operating conditions. 23 − 25 Although models require experimental data for verification and validation, an in-depth understanding and sensitivity analysis of CO 2 and AAs aqueous solution vapor–liquid equilibrium (VLE) require advanced models.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of CO₂ Absorption by Amino Acid Salt Aqueous Solution Using Hybrid Soft Computing Methods

et al. 2021

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Amino acid salt (AAs) aqueous solutions have recently exhibited a great potential in CO 2 absorption from various gas mixtures. In this work, four hybrid machine learning methods were developed to evaluate 626 CO 2 and AAs equilibrium data for different aqueous solutions of AAs (potassium sarcosinate, potassium l -asparaginate, potassium l -glutaminate, sodium l -phenylalanine, sodium glycinate, and potassium lysinate) gathered from reliable references. The models are the hybrids of the least squares support vector machine and coupled simulated annealing optimization algorithm, radial basis function neural network (RBF-NN), particle swarm optimization–adaptive neuro-fuzzy inference system, and hybrid adaptive neuro-fuzzy inference system. The inputs of the models are the CO 2 partial pressure, temperature, mass concentration in the aqueous solution, molecular weight of AAs, hydrogen bond donor count, hydrogen bond acceptor count, rotatable bond count, heavy atom count, and complexity, and the CO 2 loading capacity of AAs aqueous solution is considered as the output of the models. The accuracies of the models’ results were verified through graphical and statistical analyses. RBF-NN performance is promising and surpassed that of other models in estimating the CO 2 loading capacities of AAs aqueous solutions.

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“…Thus, it is expected that their reactivity toward CO 2 is as good as amine-based solutions . Besides, amino acid salt solutions display low volatility (leading to less solvent loss during solvent regeneration) and low viscosities. − Apart from that, being biologically sourced, they are naturally safe for the environment . Thus, their applications lead to far cleaner and environmentally friendlier processes .…”

Section: Introductionmentioning

confidence: 99%

“…Blending solvents is an endeavor to combine desirable features of both varieties of solvents and discard unfavorable ones . Thus, blending encouraged researchers to study various mixtures of alkanolamine and amino acid as new solvents for CO 2 absorption. ,,, This solvent class could be industrialized and formulated to eliminate acid gas contaminants from numerous gas streams and relieve each solvent’s weaknesses.…”

Section: Introductionmentioning

confidence: 99%

High-Pressure Vapor–Liquid Equilibrium Measurement of CO₂ Solubility into Aqueous Solvents of (Diisopropylamine + L-Lysine) and (Diisopropylamine + Piperazine + L-Lysine) at Different Temperatures and Compositions

2021

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The new experimental vapor−liquid equilibrium data for CO 2 solubility into two different combinations of alkanolamine + amino acid, alkanolamine + chemical additive, and one aqueous alkanolamine were attained at 328.15, 343.15, and 363.15 K and in the CO 2 partial pressure range from 40 to 3800 kPa. The measurements are performed for the mixture of diisopropylamine (DIPA) + L-lysine with the compositions of (37.5−2.19) wt %, (35.0−4.38) wt %, and (30−8.77) wt %, and a blend of DIPA + piperazine (PZ) + L-lysine with the compositions (30.0−7.5−2.19) wt % and (30.0−5−4.38) wt %. Besides, the CO 2 partial pressure against its loading was acquired for the aqueous systems of DIPA + PZ (30.0−10.0) wt % and DIPA (40.0) wt %. The results illustrate that the CO 2 loading in the solvents was enlarged with declining temperature and increasing pressure. For the system of DIPA (40.0) wt %, it was deduced that CO 2 solubility improves by substituting the 10 wt % of DIPA with PZ. In other comparisons, we found that, at a constant weight percentage of L-lysine and water and total alkanolamines, the degree of selectivity toward CO 2 solubility is as follows: DIPA + PZ + L-lysine + H 2 O > DIPA + L-lysine + H 2 O. Accordingly, the ability of PZ to remove CO 2 is more than DIPA. Besides, a quadratic equation is employed to correlate the CO 2 partial pressure versus its loading so that the calculated values reveal a great agreement with the experimental data. Lastly, the Clausius−Clapeyron equation is applied to compute and compare the enthalpy of CO 2 absorption for the current systems. We found that, among the utilized solvents, the aqueous systems of DIPA + L-lysine + water (30−10−60) wt % and DIPA+ water (40.0-60.0) wt % have the maximum and minimum heats of absorption, respectively.

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Characterization of monoethanolamine + potassium lysinate blend solution as a new chemical absorbent for CO 2 capture

Cited by 30 publications

References 27 publications

Process design of carbon dioxide and ethane separation using ionic liquid by extractive distillation

Process design of carbon dioxide and ethane separation using ionic liquid by extractive distillation

Evaluation of CO₂ Absorption by Amino Acid Salt Aqueous Solution Using Hybrid Soft Computing Methods

High-Pressure Vapor–Liquid Equilibrium Measurement of CO₂ Solubility into Aqueous Solvents of (Diisopropylamine + L-Lysine) and (Diisopropylamine + Piperazine + L-Lysine) at Different Temperatures and Compositions

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Characterization of monoethanolamine + potassium lysinate blend solution as a new chemical absorbent for CO 2 capture

Cited by 30 publications

References 27 publications

Process design of carbon dioxide and ethane separation using ionic liquid by extractive distillation

Process design of carbon dioxide and ethane separation using ionic liquid by extractive distillation

Evaluation of CO2 Absorption by Amino Acid Salt Aqueous Solution Using Hybrid Soft Computing Methods

High-Pressure Vapor–Liquid Equilibrium Measurement of CO2 Solubility into Aqueous Solvents of (Diisopropylamine + L-Lysine) and (Diisopropylamine + Piperazine + L-Lysine) at Different Temperatures and Compositions

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Evaluation of CO₂ Absorption by Amino Acid Salt Aqueous Solution Using Hybrid Soft Computing Methods

High-Pressure Vapor–Liquid Equilibrium Measurement of CO₂ Solubility into Aqueous Solvents of (Diisopropylamine + L-Lysine) and (Diisopropylamine + Piperazine + L-Lysine) at Different Temperatures and Compositions