Skip to main content
ACS Omega logoLink to ACS Omega
. 2022 Jun 30;7(27):23611–23623. doi: 10.1021/acsomega.2c02217

Enrichment in CO2 Absorption by 2-Methyl Piperazine-Activated Tertiary Amines, Physical Solvents, and Ionic Liquid Systems

Sweta C Balchandani †,, Bishnupada Mandal †,*, Swapnil Dharaskar
PMCID: PMC9280961  PMID: 35847310

Abstract

graphic file with name ao2c02217_0008.jpg

One of the ever-demanding research fields is the development of new solvents with better properties for mitigation of CO2 compared to existing solvents. This work reports the measurement and modeling of CO2 solubility in newly proposed aqueous solvent blends of 2-methyl piperazine with N-methyldiethanolamine (MDEA), sulfolane (TMSO2), and 1-butyl-3-methyl-imidazolium acetate ([bmim] [Ac]). The operating temperature and CO2 partial pressure conditions chosen were 303.2–323.2 K and 2–370 kPa, respectively. Along with this, qualitative 13C NMR and FTIR analysis were also performed to consider the proposed reaction scheme. The experimental vapor–liquid equilibrium data were modeled by a modified Kent–Eisenberg equilibrium model. The equilibrium constants associated with 2-methyl piperazine (2-MPZ) and [bmim] [Ac] deprotonation and carbamate formation reactions were regressed to fit the experimental CO2 solubility data. In addition, the CO2 cyclic capacity and heat of absorption were evaluated for the aq (MDEA + 2-MPZ) blend.

1. Introduction

The current requirement of mass absorption of various greenhouse gases is an essential controlling action for mitigating climate changes. Of the many greenhouse gases emitted into the atmosphere, CO2 is the largest anthropogenic gas; hence, its control in the energy sector has been an ever-expanding issue for decades. Although post-combustion CO2 capture is a mature technology, new advanced trends are being proposed for the betterment of the existing solution. One of the key areas of research is the development of new solvents with essential properties such as high reaction rates, high CO2 solubility, environmental friendliness, high CO2 cyclic capacity, low heat of absorption, high thermal stability, low solvent cost, and less regeneration energy.14 Most of these properties cannot be obtained using a single solvent, hence blends of various categories of solvents that aid CO2 absorption are explored for the purpose. It is also proposed that provided a solvent works well for post-combustion CO2 capture, it will definitely result in high CO2 absorption in pre-combustion processes because of the fact that, usually, the pre-combustion inflow streams are rich in CO2 concentration.

Recently, the possible application of deep eutectic solvents with the aim of achieving lower regeneration energy has also been reported.5 Usually, the synthesis of deep eutectic solvents is energy- and cost-intensive. However, the method suggested by the authors proved to be very cost-effective, yielding desired results for high CO2 solubility. The CO2 solubility in several aqueous amines such as monoethanolamine (MEA),6N-methyldiethanolamine (MDEA),7 diethanolamine (DEA),8 and 2-amino-2-methyl-1-propanol (AMP)9 has been studied in the literature over an extensive range of temperatures, pressures, and concentrations. Nevertheless, due to either low-equilibrium CO2 solubility or low reaction rates of these amines, addition of activators is recommended by many researchers.10,11 Various activators such as piperazine and its derivatives blended with AMP,11 MDEA,12 MEA,13 and potassium carbonate (K2CO3)14 have been widely considered in the literature. Other amine activators which have been studied and proposed for the said purpose are bis (3-aminopropyl) amine (APA), hexamethylenediamine, and triethylenetetramine.1518 One of the PZ derivatives, viz., 2-methyl piperazine (2-MPZ), is explored in the present study for CO2 absorption. A brief literature review of the selected solvents is discussed in the subsequent text.

The performance of CO2 loading in potassium carbonate while increasing the concentration of amine additives such as 2-MPZ, potassium sarcosinate, and potassium lysinate has been investigated and reported in the literature, and it was observed that the inclusion of 2-MPZ and potassium lysinate has an affirmative influence on the CO2 solubility.19 Nevertheless, the temperature 313.15 K and the pressure range 0–50 kPa were quite narrow in comparison to the horizon of CO2 absorption applications. The highest CO2 loading found at 50 kPa with a molar fraction of 0.4 of 2-MPZ in K2CO3 solution was evaluated to be 0.89.

The simulation analysis of CO2 absorption in aqueous activator blends of PZ/2-MPZ for varying concentrations has also been reported over a wide range of temperatures and pressures using Aspen Plus. The blends were investigated for CO2 solubility where a meticulous analysis of speciation, kinetic parameters, and heat of absorption was done using the e-NRTL model.20 The highest CO2 loading capacity for (4 m piperazine + 4 m 2-MPZ) was found to be 0.84 mol of CO2/(kg amine + H2O), which is reasonably competitive with traditionally used aqueous amines. Similar studies of PZ/2-MPZ have also been reported elsewhere.2124 The precipitation of piperazine at lower temperatures leads to the search for new activators that offer better absorption rates and cyclic capacity. The selection of the optimum concentration ratio of PZ/2-MPZ is also a huge concern since an increase in the concentration of 2-MPZ increases the viscosity of the overall system and thereby decreases the CO2 solubility due to less diffusion. 2-MPZ and PZ have also been investigated as promoters for K2CO3, and it was concluded that (15 wt % K2CO3 + 10 wt % 2-MPZ + 10 wt % PZ) at 313.15 K exhibits the highest CO2 loading and absorption rates.14

Pure physical solvents, such as sulfolane (TMSO2), N-methylpyrrolidone (NMP), propylene carbonate (PC), etc., and their aqueous solvents have also been preferred over the years owing to the advantage of extremely low vapor pressure, leading to a low energy requirement in the regeneration step for acid gas separation systems.2527 However, due to the low-equilibrium CO2 solubility and requirement of high pressures of the input streams for effective absorption, the blended solutions of physical solvents with amines have been reported in the literature.28 The thermodynamic analysis of the simultaneous removal of mercaptans and CO2 in aq (TMSO2 + DIPA) and aq (TMSO2 + MDEA) systems using PC-SAFT and e-NTRL models has also been reported.29 The results indicated that the studied solvents performed better than aq TMSO2 solutions. The effect of the increase in the PZ concentration in the blends of aq (MDEA + TMSO2) is also reported in the literature.12 The composition (42 wt % MDEA + 8 wt % PZ + 10 wt % TMSO2) is indicated to yield the highest CO2 solubility of αCO2 = 1.21163 mol of CO2/mol of (MDEA + PZ) at 303.15 K and 1236.604 kPa,12 which is comparable to traditionally used primary and secondary amines with PZ.

Recently, the simultaneous removal of CO2 and ethyl mercaptans has also been reported using aq (MDEA + TMSO2) solutions.30 The experimental results inferred that with increment in MDEA concentration from 30 to 40% at a constant total concentration of the solvent at 328.15 K, there was an increase in CO2 solubility of about 28.30%. Biphasic solvent mixtures of H2O, diethylenetriamine, and TMSO2 have proved to be competitive with the blends of MDEA, TMSO2, and H2O under similar experimental conditions with respect to CO2 solubility and kinetics of the systems.31,32 Although a general conclusion states that most of the carbamate, dicarbamate, and tricarbamate are formed due to the amine phase rather than the TMSO2 phase.

In addition, another category of solvents that has been extensively studied over the past few decades is ionic liquids, owing to the better solvent properties they offer in comparison to amines. On the other hand, ILs also tend to exhibit lower CO2 absorption. Hence, blends of amines or amine activators with ILs may prove to increase the efficiency of the CO2 absorption/desorption process.33,34 Imidazolium-based ILs are well established in the literature,3537 proving them to be more cost-competitive and having higher CO2 absorption in comparison to phosphonium- or pyridinium-based ILs. 1-Butyl-3-methylimidazolium acetate ([bmim] [Ac]) activated by amine activators 1-(2-aminoethyl) piperazine (AEP), and bis(3-aminopropyl)amine (APA), is also one of the promising solvents for CO2 capture, which was earlier reported by our group.38

Conclusively, aqueous blends of MDEA, TMSO2, and [bmim] [Ac], that is, a tertiary amine, a physical solvent, and an ionic liquid with 2-MPZ (amine activator), respectively, have been envisioned as potential solvents for CO2 capture. The concentration of the chemicals involved in the measurement of CO2 equilibrium solubility has been chosen rationally to get the desired optimum results. Subsequently, the vapor–liquid equilibrium (VLE) data have also been correlated using the Kent–Eisenberg model for CO2 solubility in aq (MDEA + 2-MPZ), aq (TMSO2 + 2-MPZ), and aq ([bmim] [Ac] + 2-MPZ). The efficacy of the studied solvents for CO2 absorption has been confirmed by COSMO-RS theoretical analysis and has been reported elsewhere.39

2. Experimental Section

2.1. Materials

CO2 gas (>99% pure) was procured from Linde India Ltd. and used without further purification. [bmim] [Ac] (≥95% pure), TMSO2 (99% pure), 2-MPZ (95% pure) and MDEA (≥99% pure) were purchased from Sigma-Aldrich. TMSO2, 2-MPZ, and MDEA were used with no auxiliary refinement for the CO2 solubility study. For solution preparation, the [bmim] [Ac] was first analyzed for its initial water content by the Karl Fischer method, which was found to be 1.7%. Then, the solvent was vacuum-dried for 48 h and analyzed again for water content, which was then calculated to be 0.04%. The solvent systems were prepared using double-distilled deionized water. Specification details of the chemicals used in this study were reported elsewhere.39

2.2. Experimental Method

2.2.1. VLE Measurement

The schematic of the experimental setup, methodology, and validation of the assembly used to measure the VLE has been reported in detail by our research group.38,40,41 However, the measurement method and calculation of equilibrium data are briefly described here. The setup consists of two cells: a buffer (for storage of CO2 gas at a specific temperature and pressure) and an equilibrium cell (for reaction). Both the cells are equipped with temperature and pressure controllers and transducers in order to change and track the differences in temperature and pressure. The solvent introduced in the equilibrium cell is continuously stirred with the help of a magnetic stirrer. The total pressure (PT) prevailing in the equilibrium vessel and solvent vapor pressure (Pv) can be used to evaluate the equilibrium partial pressure of CO2 (PCO2) at the respective temperature and liquid phase CO2 loading (α). The CO2 loading (αCO2) was further estimated as a function of temperature and PCO2. A similar method has been used in the literature for the measurement of CO2 equilibrium capacity.4248 Other approaches such as the wetted wall column method49,50 and the Rubotherm magnetic suspension balance method51,52 have been reported in the literature for CO2 solubility. The wetted wall column method is primarily used for establishing the kinetics of the CO2 absorption process. However, through the graphical method using the mass transfer coefficient and CO2 partial pressure in the bulk phase, the CO2 equilibrium partial pressure can be evaluated as function of CO2 loading and temperature. Furthermore, the Rubotherm magnetic suspension balance method is quite costly. The approach is based on changes in weight calculations while CO2 absorption takes place and is principally used for the screening of expensive solvents such as ionic liquids. Contrastingly, the equilibrium cell methodology adopted for the current work of CO2 absorption is less cumbersome and reasonably priced.

The detailed equations required for calculations of αCO2 and associated uncertainty53,54 are represented in Table S1. Nine solvents with the following compositions are studied in the present work at 303.2, 313.2, and 323.2 K (1) aq (3.509 m MDEA + 0.509 m 2-MPZ), (2) aq (3.017 m MDEA + 1.008 m 2-MPZ), (3) aq (2.502 m MDEA + 1.509 m 2-MPZ), (4) aq (3.501 m TMSO2 + 0.509 m 2-MPZ), (5) aq (3.012 m TMSO2 + 1.008 m 2-MPZ), (6) aq (2.500 m TMSO2 + 1.509 m 2-MPZ), (7) aq (3.507 m [bmim] [Ac] + 0.509 m 2-MPZ), (8) aq (3.002 m [bmim] [Ac] + 1.008 m 2-MPZ), and (9) aq (2.510 m [bmim] [Ac] + 1.509 m 2-MPZ). Here, “m” represents mol/kg (molal unit).

2.2.2. FTIR and 13C NMR Analyses

The 13C NMR spectra of the CO2 unloaded and loaded aq (3.017 m MDEA + 1.008 m 2-MPZ) blend were carried out using a 500 MHz NMR spectrophotometer in D2O (model: Ascend, Bruker). The FTIR-ATR spectra (PerkinElmer Inc., Germany) has also been performed to qualify the system analysis in the range of 1800 to 600 cm–1.

Qualitative 13C NMR and FTIR-ATR studies are performed to confirm various products of formation during the reaction of solvents under study with CO2. The majority of new peaks formed due to CO2 loading were observed in the up field of 13C NMR spectra (Figure 1). The peaks at 16.76–43.13 associated with several CH2 groups of intermediate reactive species correspond to MDEA. However, on the other hand, peaks at 47.60–57.61 correspond to various mono- and secondary-carbamates formed in the system due to the presence of 2-MPZ.15,16,55,56

Figure 1.

Figure 1

13C NMR spectra of aq (3.017 m MDEA + 1.008 m 2-MPZ) solution (a) unloaded and (b) CO2 loaded at 313.2 K.

The FTIR-ATR analysis of the aq (3.017 m MDEA + 1.008 m 2-MPZ) system under unloaded and under CO2 loading conditions at 313.2 K is carried out (Figure 2). The characteristic peaks have been identified and apportioned as presented in Table 1 conclusive of which protonation of MDEA and different carbamate species formations have been inveterate.

Figure 2.

Figure 2

FTIR-ATR spectra of aq (3.017 m MDEA + 1.008 m 2-MPZ): red line, unloaded, and purple line, CO2 loaded at 313.2 K.

Table 1. FTIR-ATR Peaks and Their Ascription in aq (3.017 m MDEA + 1.008 m 2-MPZ) at 313.2 K.
Sl. no. wavenumber (cm–1) attribution
1 839 C–NH2 twisting for 2-MPZ
2 1079 protonation of MDEA to form MDEAH+
3 1287 N–C stretching vibration of 2-MPZ carbamate
4 1359 HCO3
5 1419 asymmetric and symmetric vibrations of COO of 2-MPZ monocarbamate
6 1467 and 1577 asymmetric and symmetric stretching of COO

3. Proposed Chemical Reaction

Through the results obtained in 13C NMR and FTIR studies and literature2022,38 for 2-MPZ, the equilibrium reactions for aq (MDEA + H2O + CO2 + 2-MPZ), aq (TMSO2 + H2O + CO2 + 2-MPZ), and aq ([bmim] [Ac] + H2O + CO2 + 2-MPZ) systems and the equilibrium constants associated with each reaction are proposed in this work (Table S2). The physical solubility of CO2 is presented here by Henry’s law. Reversible reactions in the liquid phase are explained using chemical reaction equilibrium constants through the conceptualization of chemical equilibrium. The liquid phase reaction consists of protonation of both MDEA and 2-MPZ amine activators, carbamate formation by 2-MPZ and [bmim] [Ac], and several other reactions of formation of bicarbonate or carbonate species. The bicarbamate formation of 2-MPZ has not been reflected in the present study because at higher αCO2 bicarbonate is the key product of (2-MPZ-CO2) reaction.22 The carbamate formation for the reaction between [bmim] [Ac] and CO2 has been already reported in the literature.35,38,57 Since TMSO2 is a physical solvent, it is assumed to exhibit negligible chemical interactions and only may have weak van der Waals forces of attraction with CO2 and other species in the system. For all the systems considered in this work, the following reactions are in common: physical solubility, formation of bicarbonate ion, dissociation of bicarbonate ion, and dissociation of water. The chemical reactions pertaining to the [bmim] [Ac] + CO2 + H2O system have been reported by our research group elsewhere.38 It has also been confirmed through the experimental data, FTIR, and 13C NMR studies that [bmim] [Ac] having two active amino groups undergoes deprotonation and carbamate hydrolysis reaction.38 MDEA, being a tertiary amine and having one amino group, offers only deprotonation reaction in the MDEA + CO2 + H2O system.58,59 Furthermore, TMSO2 is a well known physical solvent used for solubilizing CO2.26 Using the 13C NMR spectra, Chen et al. suggested the detailed reaction mechanism of the 2-MPZ + H2O + CO2 system.21,22 As per the published study, there are two amino groups in the 2-MPZ structure, out of which one of the amino groups stands in hindrance due to the presence of the neighboring methyl group. Both the amino groups form monocarbamate—one is hindered and the other unhindered. However, the electron-giving methyl group is anticipated to ease the positive charge on the adjoining amino group, so the protonation is likely to strike first on the hindered amino group. Both the 2-MPZ carbamates further can be either protonated and form zwitterions or react with one more CO2 to form dicarbamate. Consequently, for the current work, two major reactions offered by 2-MPZ are considered: deprotonation and carbamate hydrolysis. Hence, the enhancement of CO2 solubility is majorly due to the presence of 2-MPZ and the reactions offered by 2-MPZ, along with the base solvents of MDEA, [bmim] [Ac], and TMSO2.

4. VLE Modeling

Efficient correlation of CO2 solubility in solvents has been approached in different manners in the literature. Usually, if pure ionic liquids or physical solvents are utilized as CO2 absorbents, the system is modeled using the equation of states, such as Peng–Robinson, Redlich–Kwong, and so forth, with different mixing rules, including cubic and group contribution methods.60 However, amines used for the CO2 absorption process are usually modeled by complex models such as Clegg–Pitzer,61 e-NRTL,12 Deshmukh–Mather,62 and Kent–Eisenberg.6365 Of the many available models, the Kent–Eisenberg model exhibits several advantages over other models in that it does not require various essential characteristics of the solvents, such as critical temperature, critical or reduced pressures, boiling point, binary interaction parameters, and acentric factors. Originally, in the KE model, equilibrium constants of the reactions participating in the system were considered to be a function of a single variable, that is, temperature.66 Later on, due to the complex behavior of the CO2 solubility in any solvent system, the attributes of concentration of solvents and CO2 partial pressure were also included as variables during the estimation of equilibrium constants. One of the major advantages of the modified KE model is that it allows the estimation of various species and pH in the system easily. Hence, more knowledge can be gained regarding the behavior of the system under study. In the present work, all the systems have been correlated using a modified KE model.

Henry’s law signifies the relationship between the CO2 partial pressure PCO2 at equilibrium and the physically dissolved CO2 concentration [CO2] to describe the vapor phase equilibrium, which is presented in eq 1.

4. 1

The modified KE model derivation for the ([bmim] [Ac] + H2O + CO2 + 2-MPZ) system is presented here. The model has already been presented for similar systems in our earlier work.38,40,41,67

For simplification, [bmim] [Ac] is renamed as R1. The general mass and charge balance of various molecular and ionic species in the liquid phase is presented as follows

[bmim] [Ac] balance

4. 2

2-MPZ balance

4. 3

CO2 balance for the aq [bmim] [Ac] +2-MPZ system

4. 4

Electroneutrality balance/charge balance for the aq ([bmim] [Ac] + 2-MPZ) system

4. 5

where, αCO2 is the CO2 loading, and M1 and M2 represent the initial [bmim] [Ac] and 2-MPZ molar concentrations, respectively. Furthermore, M1 indicates the molar concentration of MDEA and TMSO2 for aq (MDEA + 2-MPZ) and aq (TMSO2 + 2-MPZ) systems, respectively.

The systems in eqs 15 and Table S2 can be utilized to develop a polynomial equation as a function of [H+]. The equation hence formed for systems under consideration associated with the coefficients can be given as follows:

4. 6

where

4. 6.1
4. 6.2
4. 6.3
4. 6.4
4. 6.5
4. 6.6
4. 6.7
4. 6.8

The modified form of the loading equation for the aq ([bmim] [Ac] + 2-MPZ) system is represented as follows:

4. 7

αCO2 is calculated using eq 7 using the real root of [H+] obtained from eq 6. In the modified KE model, the equilibrium constants K1K3 and K8 can be correlated as functions of temperature as given below

4. 8

where, ai, bi, and ci are coefficients of the above equation, and the values of the same are taken from the literature.54

The resulting non-linear and linear simultaneous equations are further required to be solved using an optimization algorithm.38,41 The optimized equilibrium constants K4, K5, K6, K7, and K8, which correspond to the deprotonation and carbamate hydrolysis reactions of various reactive species, are estimated as functions of PCO2, T, and solvent concentration (MATLAB17). The solution of eq 6 results in multiple roots of [H+] but only a single value of [H+] that belongs in the array of 10–12–10–5 kmol. m–3 has been used for αCO2 estimation. The accuracy of the KE toward prediction of the CO2 loading is analyzed using % AAD as stated below

4. 9

where, N, Yiexp, and Yimod indicate the number of data points, the experimental value of αCO2, and the modified KE correlated value of αCO2, respectively.

5. Results and Discussion

5.1. Influence of Various Reaction Factors on αCO2 and Modified Kent–Eisenberg Modeling of Vapor–Liquid Equilibrium Data

The experimental data of CO2 partial pressure with respect to each loading along with the associated uncertainty are presented in Tables 24. The standardization of the conceived methodology for the present work has been previously reported by our research group.38,40,41,67 The maximum evaluated uncertainty of CO2 loading is 0.013.

Table 2. CO2 Solubility Data in aq (MDEA + 2-MPZ) Solutiona.

aq (MDEA+ 2-MPZ) T = 303.2 K
T = 313.2 K
T = 323.2 K
molal (m) PCO2/kPa αCO2 PCO2/kPa αCO2 PCO2/kPa αCO2
3.509 + 0.509 4.3 0.189 ± 0.002 5.7 0 6.6 0.139 ± 0.001
  9.8 0.331 ± 0.002 15.2 0.335 ± 0.003 18.1 0.270 ± 0.002
  21.2 0.462 ± 0.003 40.3 0.459 ± 0.004 33.8 0.376 ± 0.003
  41.2 0.569 ± 0.004 72.7 0.546 ± 0.005 56.1 0.454 ± 0.004
  65.1 0.644 ± 0.005 90.5 0.605 ± 0.005 73.6 0.513 ± 0.005
  98.5 0.683 ± 0.006 114.3 0.642 ± 0.006 99.4 0.548 ± 0.005
  119.1 0.708 ± 0.007 133.7 0.671 ± 0.007 114.2 0.578 ± 0.006
  143.1 0.722 ± 0.007 157.8 0.761 ± 0.008    
  197.3 0.749 ± 0.009 199.3 0.775 ± 0.009    
  203.2 0.753 ± 0.009        
3.017 + 1.008 2.3 0.183 ± 0.001 5.0 0.155 ± 0.001 5.0 0.141 ± 0.001
  10.1 0.345 ± 0.002 11.5 0.303 ± 0.002 15.1 0.300 ± 0.002
  20.0 0.506 ± 0.004 27.0 0.435 ± 0.003 34.5 0.422 ± 0.003
  44.5 0.627 ± 0.005 57.9 0.534 ± 0.004 72.0 0.494 ± 0.004
  86.5 0.706 ± 0.006 77.6 0.596 ± 0.005 82.9 0.554 ± 0.005
  118.8 0.737 ± 0.007 99.2 0.638 ± 0.006 104.0 0.596 ± 0.006
  146.2 0.759 ± 0.007 116.9 0.670 ± 0.006 129.6 0.624 ± 0.006
  183.5 0.774 ± 0.008 157.4 0.760 ± 0.008 192.9 0.672 ± 0.008
  235.7 0.786 ± 0.010 200.0 0.767 ± 0.009    
  279.9 0.873 ± 0.011        
  335.4 1.013 ± 0.013        
2.502 + 1.509 3.0 0.171 ± 0.001 3.7 0.134 ± 0.001 5.5 0.119 ± 0.001
  6.8 0.319 ± 0.002 7.9 0.284 ± 0.002 13.2 0.249 ± 0.002
  24.3 0.443 ± 0.003 18.5 0.422 ± 0.003 26.5 0.377 ± 0.003
  35.9 0.553 ± 0.004 44.2 0.524 ± 0.004 50.5 0.485 ± 0.004
  77.6 0.617 ± 0.005 69.4 0.598 ± 0.005 75.4 0.550 ± 0.005
  108.9 0.651 ± 0.006 97.1 0.646 ± 0.006 104.4 0.585 ± 0.006
  127.6 0.669 ± 0.007 118.1 0.671 ± 0.006 126.9 0.609 ± 0.006
  160.3 0.679 ± 0.007 136.4 0.723 ± 0.007 157.0 0.634 ± 0.007
  241.1 0.706 ± 0.010 149.0 0.829 ± 0.008    
  251.2 0.797 ± 0.010 180.8 0.856 ± 0.009    
a

The standard uncertainties (u) associated with the measured quantity are u (T) = 0.1 K and u (PCO2) = 0.5 kPa. αCO2 is the CO2 loading of the solvent in mol of CO2 per mol of solvent.

Table 4. CO2 Solubility Data in aq ([bmim] [Ac] + 2-MPZ) Solutiona.

aq ([bmim] [Ac]+ 2-MPZ) T = 303.2 K
T = 313.2 K
T = 323.2 K
molal (m) PCO2/kPa αCO2 PCO2/kPa αCO2 PCO2/kPa αCO2
3.507 + 0.509 64.4 0.085 ± 0.003 87.6 0.056 ± 0.003 62.7 0.047 ± 0.002
  114.9 0.105 ± 0.004 121.0 0.086 ± 0.004 98.2 0.072 ± 0.003
  149.9 0.113 ± 0.005 178.5 0.093 ± 0.005 121.1 0.073 ± 0.004
  197.3 0.118 ± 0.006 221.7 0.104 ± 0.007 153.0 0.077 ± 0.005
  235.9 0.125 ± 0.007 254.0 0.122 ± 0.008 180.2 0.082 ± 0.005
  300.2 0.148 ± 0.009 293.3 0.142 ± 0.009 205.5 0.086 ± 0.006
  313.0 0.176 ± 0.010 318.5 0.191 ± 0.010 247.7 0.092 ± 0.007
3.002 + 1.008 22.2 0.144 ± 0.002 35.7 0.113 ± 0.002 23.0 0.107 ± 0.002
  104.8 0.178 ± 0.004 99.1 0.158 ± 0.004 87.6 0.149 ± 0.003
  128.1 0.187 ± 0.005 144.9 0.179 ± 0.005 129.1 0.160 ± 0.004
  163.9 0.191 ± 0.006 192.4 0.187 ± 0.006 176.2 0.169 ± 0.006
  202.8 0.199 ± 0.007 248.7 0.191 ± 0.008 213.7 0.174 ± 0.007
  247.5 0.205 ± 0.008 302.5 0.197 ± 0.009 255.7 0.183 ± 0.008
  269.8 0.288 ± 0.009 326.1 0.268 ± 0.010    
  317.4 0.254 ± 0.010 370.1 0.299 ± 0.011    
2.510 + 1.509 3.5 0.183 ± 0.002 4.6 0.152 ± 0.002 5.0 0.122 ± 0.001
  68.1 0.273 ± 0.004 83.7 0.219 ± 0.004 59.7 0.194 ± 0.003
  126.2 0.283 ± 0.005 104.2 0.253 ± 0.004 98.1 0.225 ± 0.004
  162.7 0.291 ± 0.006 125.4 0.269 ± 0.005 132.7 0.244 ± 0.005
  208.2 0.297 ± 0.007 156.4 0.276 ± 0.006 148.9 0.275 ± 0.005
  243.3 0.303 ± 0.008 193.9 0.284 ± 0.007 157.4 0.328 ± 0.006
  262.2 0.372 ± 0.009 222.8 0.356 ± 0.008    
  301.3 0.363 ± 0.010        
a

The standard uncertainties (u) associated with the measured quantity are u (T) = 0.1 K and u (PCO2) = 0.5 kPa. αCO2 is the CO2 loading of the solvent in mol of CO2 per mol of solvent.

Table 3. CO2 Solubility Data in aq (TMSO2 + 2-MPZ) Solutiona.

aq (TMSO2+ 2-MPZ) T = 303.2 K
T = 313.2 K
T = 323.2 K
molal (m) PCO2/kPa αCO2 PCO2/kPa αCO2 PCO2/kPa αCO2
3.501 + 0.509 62.7 0.124 ± 0.003 45.6 0.089 ± 0.002 49.2 0.079 ± 0.002
  128.5 0.133 ± 0.004 123.8 0.097 ± 0.003 114.0 0.084 ± 0.003
  160.7 0.141 ± 0.005 161.8 0.105 ± 0.004 142.4 0.090 ± 0.004
  195.1 0.150 ± 0.006 201.9 0.112 ± 0.005 168.0 0.095 ± 0.004
  252.4 0.156 ± 0.007 257.7 0.117 ± 0.006 178.0 0.128 ± 0.005
  343.9 0.167 ± 0.009 302.3 0.125 ± 0.007 183.8 0.151 ± 0.005
  316.3 0.285 ± 0.009 356.1 0.139 ± 0.008    
  317.6 0.289 ± 0.009        
3.012 + 1.008 4.9 0.167 ± 0.001 9.8 0.126 ± 0.001 21.5 0.144 ± 0.002
  87.5 0.214 ± 0.003 84.3 0.176 ± 0.003 78.7 0.205 ± 0.003
  130.0 0.219 ± 0.004 125.7 0.183 ± 0.004 123.4 0.224 ± 0.004
  165.8 0.222 ± 0.005 159.8 0.191 ± 0.005 171.9 0.232 ± 0.005
  196.5 0.226 ± 0.006 200.2 0.203 ± 0.005 223.3 0.231 ± 0.006
  293.7 0.245 ± 0.008 235.7 0.211 ± 0.006 246.6 0.235 ± 0.006
  303.4 0.259 ± 0.008 299.2 0.239 ± 0.008    
2.500 + 1.509 2.0 0.161 ± 0.001 3.8 0.149 ± 0.001 3.9 0.131 ± 0.001
  36.7 0.281 ± 0.003 38.9 0.262 ± 0.003 18.6 0.249 ± 0.002
  113.8 0.302 ± 0.004 105.8 0.293 ± 0.004 89.4 0.287 ± 0.004
  138.7 0.306 ± 0.005 157.8 0.305 ± 0.005 117.1 0.295 ± 0.004
  167.0 0.312 ± 0.005 187.6 0.313 ± 0.006 147.7 0.295 ± 0.005
  200.3 0.313 ± 0.006 207.2 0.324 ± 0.006 172.1 0.293 ± 0.005
  238.6 0.315 ± 0.007 249.9 0.334 ± 0.007    
  280.6 0.369 ± 0.008        
  316.3 0.399 ± 0.009        
a

The standard uncertainties (u) associated with the measured quantity are u (T) = 0.1 K and u (PCO2) = 0.5 kPa. αCO2 is the CO2 loading of the solvent in mol of CO2 per mol of the solvent.

The CO2 solubility data have been associated using the modified KE model. The results of correlation were used to evaluate the coefficients of the equilibrium constants K4, K5, K6, and K7 using non-linear regression analysis. A non-linear optimization method with the objective function as eq 9 was employed to reduce the imprecision between the experimental and predicted values. The evaluated equilibrium constants (K4, K5, K6, and K7) in terms of concentration of solvents, T, and PCO2 can be expressed as follows:

5.1. 10
5.1. 11

where g, h, k, l, n, p, q, and r are the coefficients associated with the equilibrium constants and are found by optimization. The calculated values of equilibrium constants are given in Table 5. The equilibrium constants obtained through the KE model were in turn used to predict αCO2. The calculated % AAD for aq (MDEA + 2-MPZ), aq ([bmim] [Ac] + 2-MPZ), and aq (TMSO2 + 2-MPZ) systems is 7.53, 22.49, and 31.94, respectively.

Table 5. Coefficients of Equilibrium Constants Estimated in the Present Worka.

system aq (MDEA + 2-MPZ)
aq ([bmim] [Ac] + 2-MPZ)
aq (TMSO2 + 2-MPZ)
Ki/kmol.m–3 K4 K5 K4 K5 K6 K7 K4 K5
G –3.216 × 10–8 4.174×105 –9.782 × 10–9 –2.485×103 –9.795 × 10–9 –2.513×103 2.586 × 10–5 –5.439×104
H –1.261 × 10–9 9.951 × 10 –4.436 × 10–9 –4.826×103 –4.436 × 10–9 –4.840×103 –2.399 × 10–5 –5.814 × 10
K 1.024 × 10–10 5.933 × 10 6.745 × 10–11 –5.974 × 10 6.740 × 10–11 –5.990 × 10 2.492 × 10–8 5.817×103
L 6.755 × 10–12 –3.978 –2.327 × 10–11 –1.627×103 –2.328 × 10–11 –1.619×103 –7.333 × 10–9 –4.496×102
N 2.168 × 10–14 –5.624 2.612 × 10–13 5.822 2.597 × 10–13 5.830 –5.254 × 10–11 –1.541 × 10
P –7.678 × 10–13 –3.410 × 10–2 1.131 × 10–10 –5.177 × 10–2 1.132 × 10–10 –5.164 × 10–2 9.969 × 10–10 –2.062 × 10
Q 2.728 × 10–14 1.885 × 10–2 1.555 × 10–24 9.442×102 1.563 × 10–24 9.453×102 –3.294 × 10–13 1.014×103
R   –1.799 × 10–4   –1.359 × 10–3   –1.388 × 10–3   –7.680 × 10–2
% AAD 7.53     22.49     31.94  
a

The competency of the modified KE model for prediction of CO2 solubility is also presented in terms of residual plots for the aq (MDEA + 2-MPZ) system in Figure 3.

CO2 solubility is seen to decline with the increase in temperature for all systems under study (Tables 24). This decrease in αCO2 is due to the exothermic nature of reaction in proposed solvents and CO2. With the increase in the 2-MPZ activator concentration in the blend keeping the overall concentration of the solvents unchanged, an increase in CO2 solubility is also perceived in the aqueous blends. Additionally, with intensification in PCO2, it is observed that αCO2 increases since an increase in system pressure results in the growth in kinetic energy associated with the gas molecules. This further leads to the improvement of the rate of diffusion up to a positive maximum limit. The number of collisions between gas molecules and the liquid surface increases when PCO2 is increased. This subsequently results in higher CO2 loading. However, after this limiting value of PCO2, there is no remarkable increase in CO2 loading. The experimental and modeled αCO2 values of aq (3.509 m MDEA + 0.509 m 2-MPZ) and aq (3.002 m [bmim] [Ac] + 1.008 m 2-MPZ) are studied as a function of temperature (Figure 4a,b). The results offer a decent covenant of the measured experimental data with the modeled αCO2. A contour analysis of the aq (TMSO2 + 2-MPZ) system indicates that the system absorbed more CO2 at low temperatures and high pressures (Figure 4c).

Figure 4.

Figure 4

CO2 solubility in the aqueous blends of (a) aq (3.509 m MDEA + 0.509 m 2-MPZ) and (b) aq (3.002 m [bmim] [Ac] + 1.008 m 2-MPZ) as a function of temperature and (c) aq (TMSO2 + 2-MPZ) as functions of T and PCO2 (“m” signifies mol.kg–1).

Figure 3.

Figure 3

Residual plot of the aq (MDEA + 2-MPZ) system.

The increase in concentration of 2-MPZ from 0.509 to 1.509 m in the aqueous solution of [bmim] [Ac] results in an increase in αCO2 at all temperatures, viz., (303.2, 313.2, and 323.2 K) (Figure 5a). It can be concluded that a 1.509 m concentration of 2-MPZ is highly appreciable and provides far better CO2 solubility in comparison to the 0.509 m concentration of 2-MPZ in a blended system. The studies on the effect of the base solvent with the activator (2-MPZ) indicate that blends of MDEA with 2-MPZ provide superior αCO2 in comparison to [bmim] [Ac] or TMSO2 at the same solvent concentration and temperature (Figure 5b). MDEA, being a tertiary amine, has an amino group that reacts chemically with CO2, providing chemical absorption. Hence, in the aq (MDEA + 2-MPZ) solvent mixture, the amino groups responsible for reacting with CO2 are higher when compared to aq ([bmim] [Ac] + 2-MPZ) and aq (TMSO2 + 2-MPZ) solvent blends. This can be correlated with the fact that both ionic liquids and physical solvents react only physically majorly, which is quite low at a low PCO2, whereas MDEA majorly contributes through chemical absorption. Along with this, the ionic liquid blended with 2-MPZ shows better performance than that blended with TMSO2. The total CO2 solubility offered by any solvent is the sum effect of physical and chemical absorption. The former depends on the structure and is due to van der Waals forces of attraction, whereas the latter is due to the number of functional groups (majorly amino groups) available for chemical reaction. For the aq (MDEA + 2-MPZ) system, the amino groups are present in both MDEA and 2-MPZ, and CO2 solubility depends on both the solvents. The studied concentrations are (3.509 m MDEA + 0.509 m 2-MPZ), (3.017 m MDEA + 1.008 m 2-MPZ) and (2.502 MDEA m + 1.509 m 2-MPZ), where simultaneously, the activator 2-MPZ is increased and MDEA is decreased. Hence, it can be concluded that for the concentration of (2.502 m MDEA + 1.509 m 2-MPZ), the total number of amino groups present in the solution available to react with CO2 is less compared to the (3.017 m MDEA + 1.008 m 2-MPZ) system. This behavior is also justified because in [bmim] [Ac] and TMSO2 systems this does not occur. Both [bmim] [Ac] and TMSO2 offer major physical absorption, as they are an ionic liquid and a physical solvent, respectively, and chemical absorption is majorly contributed through the 2-MPZ activator. Furthermore, quantifying the CO2 solubility data indicates that for the aq (MDEA + 2-MPZ) system at 313.2 K and 200 kPa, the increase in αCO2 observed is only 1.059% with an increase in 2-MPZ concentration from 0.509 to 1.008 m. However, the subsequent increase in the concentration of 2-MPZ from 0.509 to 1.509 m results in an increase in αCO2 by 16.13%. Hence, it can be concluded that the CO2 solubility is in the order of MDEA > [bmim] [Ac] > TMSO2 with the same activator concentration (2-MPZ) in all blended solutions.

Figure 5.

Figure 5

(a) Effect on CO2 solubility with addition of 2-MPZ in aq [bmim] [Ac] at 303.2 K. (b) CO2 solubility comparison in TMSO2, MDEA, and [bmim] [Ac] added with 2-MPZ at 303.2 K (“m” signifies “mol/kg”).

5.2. Liquid Phase Speciation Profile and pH

The equilibrium concentrations of different species in the solvent phase are further predicted as a function of αCO2 using the modified KE model. The concentration profiles of diverse species for CO2-loaded (3.509 m MDEA + 0.509 m 2-MPZ) at 303.2 K and (3.002 m [bmim] [Ac] + 1.008 m 2-MPZ) at 313.2 K have been established through the results of [H+] obtained by the KE model (Figure S1a,b). As indicated, there is a sharp decrease in the concentrations of 2-MPZ as a function of αCO2, indicating it to be a limiting reactant for CO2 solubility reaction. Also, it is evident from the speciation that HCO3 and carbamate, corresponding to an ionic liquid and an amine, are associated to be the major reaction products. The estimation of the pH of the reactants, products, as well as intermediate species, is one of the important design parameters for absorption and stripping tower systems. The reaction products of the CO2 solubility systems are usually in the pH range of (712).68 In the current work, the modified KE model is further used to evaluate the pH of the blended solvent systems as a function of αCO2. For the aq (2.500 m TMSO2 + 1.509 m 2-MPZ) system, the maximum pH of 8.8 was observed at a low temperature of 303.2 K (Figure S1c). With the increase in T and αCO2, the pH was observed to decrease inevitably because of the fact that there were more H+ ions in the systems in comparison to OH ions at lower temperatures.

5.3. CO2 Cyclic Capacity

The solvent transmission rate in the absorption–regeneration route is often taken as the performance indicator, which is directly a function of CO2 cyclic capacity.69 In the present work, the CO2 cyclic capacity has been estimated for the aq (MDEA + 2-MPZ) system using eq 12

5.3. 12

where, αPCO2, rich is evaluated at 20, 30, and 40 kPa, and αPCO2, lean is calculated at 5 kPa. The CO2 cyclic capacity of the system has been evaluated at 303.2 K with respect to MDEA and 2-MPZ concentration (Figure S2a,b). The total CO2 cyclic capacity of the ≈ 4 m (MDEA + 2-MPZ) system is observed to be 1.039. However, with respect to MDEA and 2-MPZ concentrations, the maximum of the parameters was observed to be 0.908 and 0.307 at 40 kPa, the highest partial pressure of the system. It indicates that owing to the much larger concentration of MDEA in comparison to 2-MPZ, the CO2 cyclic capacity depends on MDEA rather than on 2-MPZ. The dependency of CO2 cyclic capacity on temperature (Figure S2c) concludes that with the increase in temperature, the CO2 cyclic capacity also tends to decrease, similar to αCO2. Additionally, the CO2 cyclic capacity estimated for the ≈ 4 m (MDEA + 2-MPZ) system is found to be approximately 51.59% higher than 30 wt % MEA solution (∼7 m),70 hence indicating that the utilization of the proposed solvent blends will require a smaller equipment size for absorption and less re-circulation of the fresh solvent.

5.4. Heat of Absorption in the aq (MDEA + 2-MPZ) Solvent

CO2 absorption in any solvent, whether amines or ionic liquids, results in generation of heat due to the usual exothermic nature of the reactions involved. This indicates that if the heat of absorption is higher, it will result in a high energy requirement during regeneration. Hence, the energy requirements for any solvent desorption process are dictated by the heat of CO2 absorption. The latter can either be measured experimentally using instruments such as a reaction calorimeter or can be evaluated from VLE data using the Gibbs–Helmholtz equation.71 The equation is presented as follows:

5.4. 13

The heat of absorption in aq (3.509 m MDEA + 0.509 m 2-MPZ) is obtained by eq 13 using the slope of the plot of ln(PCO2) versus (1/T). As revealed in Figure S2d, plots were made with αCO2 = 0.37, 0.47, and 0.57, corresponding to which the obtained slopes were −4783.69, −4675.13, and −4873.65, respectively. The obtained heat of absorption is presented in Table 6. In comparison to activated aq MEA or DEA systems, that is, primary or secondary amines, tertiary amines exhibit a lower heat of absorption. This is owing to the reason that primary amines form carbamate and dicarbamate, which result in high heat of absorption, whereas bicarbonate formation, which is one of the principal reactions occurring in tertiary amine systems, is an endothermic reaction.72 Comparable interpretations have also been reported in the literature.7375 The uncertainty associated with pH and heat of absorption is found using the equation given in serial number 6 in Table S1.76 Both the variables are found to depend on four major parameters of the system, that is, temperature, CO2 partial pressure, CO2 loading, and concentration of the solvent. Hence, the uncertainty associated with each of these variables is considered in order to evaluate the uncertainty in pH and heat of absorption calculations. The maximum uncertainty associated with pH and heat of absorption was found to be: aq (MDEA + 2-MPZ): 0.1126, aq ([bmim] [Ac] + 2-MPZ): 0.1123, and aq (TMSO2 + 2-MPZ): 0.1122.

Table 6. Heat of Absorption in aq (3.509 m MDEA + 0.509 m 2-MPZ) at Various Compositions within the Temperature Range of 303.2–333.2 K.

αCO2 ΔHa (kJ/mol)
0.37 –39.77
0.47 –38.87
0.57 –40.52

5.5. Comparison with Literature CO2 Solubility

An assessment of the studied solvents is done with the available literature. However, due to the lack of literature in the studied range of composition, the nearest available literature was considered. CO2 solubility in the blend of aq (3.017 m MDEA + 1.008 m 2-MPZ) solution is quite competitive to literature available data (Figure 6).10,18,77 In addition, a comparison of aq (3.501 m TMSO2 + 0.509 m 2-MPZ) with a near-aqueous composition of 0.0999 mol fractions of TMSO2 indicates that the former provides a maximum CO2 solubility of 0.0191 mol fraction at 317.57 kPa. On the other hand, aq TMSO2 provides a CO2 solubility of 0.0106 mol fraction at 1.108 MPa and at 303.2 K. Hence, it can be concluded that with the addition of 0.509 m 2-MPZ to nearly the same composition of TMSO2, the newly developed blend outperforms the aqueous blend of TMSO2.

Figure 6.

Figure 6

Comparison of CO2 solubility in aq (3.017 m MDEA + 1.008 m 2-MPZ) with the literature at 303.2 K (“m” signifies “mol/kg”:).

6. Conclusions

CO2 solubility in aq MDEA, TMSO2, and [bmim] [Ac] enhanced by the PZ-based amine activator, viz., 2-MPZ was studied over inclusive variations in experimental conditions. Qualitative analysis through FTIR and 13C NMR of the unloaded and loaded solvents indicated carbamate formation by 2-MPZ reacting with CO2. The results evidently specify that CO2 solubility increases with respect to an increase in both PCO2 and concentrations of activators in solvent blends. A modified KE model was developed to correlate the CO2 solubility data. Results indicated that an increase in 2-MPZ in blends of aq. MDEA, TMSO2, or [bmim] [Ac] improved the CO2 solubility tremendously. The optimized equilibrium constants associated with various reactions as functions of PCO2, solvent concentration, and T of absorption have been estimated using regression analysis. The speciation and pH data as a function of αCO2 have been estimated by means of the modified KE model. The CO2 cyclic capacity and low heat of absorption of the aq (MDEA + 2-MPZ) solvent indicated it to be a prospective solvent for CO2 capture. In addition, an assessment of CO2 solubility data of solvent blends with the literature reveals that the considered solvents have good potential for post-combustion CO2 capture applications.

Supporting Information Available

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsomega.2c02217.

  • Table S1 Details of equations for calculation of αCO2 and associated uncertainty; Table S2 Reaction, reaction mechanism, and equilibrium constants associated with reactions in the system; Figure S1 Modified KE model-predicted equilibrium liquid phase concentration of various species in CO2-loaded aq (3.509 m MDEA + 0.509 m 2-MPZ) at T = 303.2 K and aq (3.002 m [bmim] [Ac] + 1.008 m 2-MPZ) at T = 313.2 K and pH as a function of CO2 loading in aq (2.500 m TMSO2 + 1.509 m 2-MPZ); CO2 cyclic capacity of the aq (MDEA + 2-MPZ) system at 303.2 K with PCO2, lean = 5 kPa as functions of MDEA concentration and 2-MPZ concentration; Figure S2 CO2 cyclic capacity of the aq (3.509 m MDEA + 0.509 m 2-MPZ) system with PCO2, lean=5 kPa as a function of temperature; and plot of ln(PCO2) with 1/T for calculation of heat of absorption for the aq (MDEA + 2-MPZ) system (PDF)

The authors declare no competing financial interest.

Supplementary Material

ao2c02217_si_001.pdf (313.5KB, pdf)

References

  1. Astaria G.; Savage D. W.; Bisio A.. Gas treating with chemical solvents; John Wiley and Sons: New York, 1983. [Google Scholar]
  2. Bishnoi S.; Rochelle G. T. Absorption of carbon Dioxide in aqueous piperazine/methyldiethanolamine. AIChE J. 2002, 48, 2788–2799. 10.1002/aic.690481208. [DOI] [Google Scholar]
  3. Nagao Y.; Hayakawa A.; Suzuki H.; Mitsuoka S.; lwaki T.; Mimura T.; Suda T. Comparative study of various amines for the eversible absorption capacity of carbon dioxide. Stud. Surf. Sci. Catal. 1998, 114, 669–672. 10.1016/s0167-2991(98)80848-3. [DOI] [Google Scholar]
  4. Tiwari S. C.; Pant K. K.; Upadhyayula S. Efficient CO2 absorption in aqueous dual functionalized cyclic ionic liquids. J. CO2 Util. 2021, 45, 101416. 10.1016/j.jcou.2020.101416. [DOI] [Google Scholar]
  5. Bi Y.; Hu Z.; Lin X.; Ahmad N.; Xu J.; Xu X. Efficient CO2 capture by a novel deep eutectic solvent through facile, one pot synthesis with low energy consumption and feasible regeneration. Sci. Total Environ. 2020, 705, 135798. 10.1016/j.scitotenv.2019.135798. [DOI] [PubMed] [Google Scholar]
  6. Mason J. W.; Dodge B. F. Equilibrium absorption of carbon dioxide by solutions of the ethanolamines. Trans. Institutions Chem. Eng. 1936, 32, 27–48. [Google Scholar]
  7. Mamun S.; Nilsen R.; Svendsen H. F. Solubility of carbon dioxide in 30 mass % monoethanolamine and 50 mass % methyldiethanolamine solutions. J. Chem. Eng. Data 2005, 50, 630–634. 10.1021/je0496490. [DOI] [Google Scholar]
  8. Kennard M. L.; Meisen A. Solubility of carbon dioxide in aqueous diethanolamine solutions at elevated temperatures and pressures. J. Chem. Eng. Data 1984, 29, 309–312. 10.1021/je00037a025. [DOI] [Google Scholar]
  9. Teng T. T.; Mather A. E. Solubility of H2S, CO2, and their mixtures in an AMP solution. Can. J. Chem. Eng. 1989, 67, 846–850. 10.1002/cjce.5450670517. [DOI] [Google Scholar]
  10. Ramazani R.; Mazinani S.; Hafizi A.; Jahanmiri A. Equilibrium solubility of carbon dioxide in aqueous blend of monoethanolamine (MEA) and 2-1-piperazinyl-ethlamine (PZEA) solutions: Experimental and optimization study. Process Saf. Environ. Prot. 2015, 98, 325–332. 10.1016/j.psep.2015.09.003. [DOI] [Google Scholar]
  11. Tong D.; Maitland G. C.; Trusler M. J. P.; Fennell P. S. Solubility of carbon dioxide in aqueous blends of 2-amino-2-methyl-1-propanol and piperazine. Chem. Eng. Sci. 2013, 101, 851–864. 10.1016/j.ces.2013.05.034. [DOI] [Google Scholar]
  12. Dash S. K.; Bandyopadhyay S. S. Studies on the effect of addition of piperazine and sulfolane into aqueous solution of N-methyldiethanolamine for CO2 capture and VLE modelling using e-NRTL equation. Int. J. Greenh. Gas Control 2016, 44, 227–237. 10.1016/j.ijggc.2015.11.007. [DOI] [Google Scholar]
  13. Khodadadi M. J.; Riahi S.; Abbasi M. Experimental modeling of the solubility of carbon dioxide in aqueous solution of monoethanolamine + 1, 3-diaminopropane. J. Mol. Liq. 2019, 281, 415–422. 10.1016/j.molliq.2019.02.044. [DOI] [Google Scholar]
  14. Kim Y. E.; Choi J. H.; Nam S. C.; Yoon Y. I. CO2 absorption capacity using aqueous potassium carbonate with 2-methylpiperazine and piperazine. J. Ind. Eng. Chem. 2012, 18, 105–110. 10.1016/j.jiec.2011.11.078. [DOI] [Google Scholar]
  15. Das B.; Deogam B.; Mandal B. Experimental and theoretical studies on efficient carbon dioxide capture using novel bis (3-aminopropyl) amine (APA) −activated aqueous 2-amino-2-methyl-1-propanol (AMP) solutions. RSC Adv. 2017, 7, 21518–21530. 10.1039/c7ra01286a. [DOI] [Google Scholar]
  16. Das B.; Deogam B.; Mandal B. Absorption of CO2 into novel aqueous bis (3-aminopropyl) amine and enhancement of CO2 absorption into its blends with N-methyldiethanolamine. Int. J. Greenh. Gas Control 2017, 60, 172–185. 10.1016/j.ijggc.2017.03.018. [DOI] [Google Scholar]
  17. Hafizi A.; Mokari M. H.; Khalifeh R.; Farsi M.; Rahimpour M. R. Improving the CO2 solubility in aqueous mixture of MDEA and different polyamine promoters: The effects of primary and secondary functional groups. J. Mol. Liq. 2019, 297, 111803. 10.1016/j.molliq.2019.111803. [DOI] [Google Scholar]
  18. Mondal B. K.; Bandyopadhyay S. S.; Samanta A. N. Equilibrium solubility measurement and Kent-Eisenberg modeling of CO2 absorption in aqueous mixture of N-methyldiethanolamine and hexamethylenediamine. Greenhouse Gases: Sci. Technol. 2016, 7, 202–214. 10.1002/ghg.1653. [DOI] [Google Scholar]
  19. Ramezani R.; Felice R. D. Experimental study of CO2 absorption in different blend solutions as solvent for CO2 capture. Int. J. Chem. Biomol. Eng. 2017, 11, 5–10. [Google Scholar]
  20. Sherman B.; Frailie P. T.; Li L.; Salta N.; Rochelle G. T. Thermodynamic and kinetic modeling of piperazine/2-methylpiperazine. Energy Procedia 2014, 63, 1243–1255. 10.1016/j.egypro.2014.11.134. [DOI] [Google Scholar]
  21. Chen X.; Rochelle G. T. Modeling of CO2 absorption kinetics in aqueous 2-methylpiperazine. Ind. Eng. Chem. Res. 2013, 52, 4239–4248. 10.1021/ie3023737. [DOI] [Google Scholar]
  22. Chen X.; Rochelle G. T. Thermodynamics of CO2 / 2-methylpiperazine/ water. Ind. Eng. Chem. Res. 2013, 52, 4229–4238. 10.1021/ie3023725. [DOI] [Google Scholar]
  23. Sherman B.; Chen X.; Nguyen T.; Xu Q.; Rafique H.; Freeman S. A.; Voice A. K.; Rochelle G. T. Carbon capture with 4 m piperazine/4 m 2-methylpiperazine. Energy Procedia 2013, 37, 436–447. 10.1016/j.egypro.2013.05.129. [DOI] [Google Scholar]
  24. Yuan Y.; Sherman B.; Rochelle G. T. Effects of viscosity on CO2 absorption in aqueous piperazine / 2-methylpiperazine. Energy Procedia 2017, 114, 2103–2120. 10.1016/j.egypro.2017.03.1345. [DOI] [Google Scholar]
  25. Murrieta-Guevara F.; Romero-Martinez A.; Trejo A. Solubilities of carbon dioxide and hydrogen sulphide in propylene carbonate, N- methylpyrrolidone and sulfolane. Fluid Phase Equilib. 1988, 44, 105–115. 10.1016/0378-3812(88)80106-7. [DOI] [Google Scholar]
  26. Shokouhi M.; Jalili A. H.; Zoghi A. T.; Sadeghzadeh Ahari J. Carbon dioxide solubility in aqueous sulfolane solution. J. Chem. Thermodyn. 2019, 132, 62–72. 10.1016/j.jct.2018.12.004. [DOI] [Google Scholar]
  27. Jalili A. H.; Shokouhi M.; Samani F.; Hosseini-Jenab M. Measuring the solubility of CO2 and H2S in sulfolane and the density and viscosity of saturated liquid binary mixtures of (sulfolane + CO2) and (sulfolane + H2S). J. Chem. Thermodyn. 2015, 85, 13–25. 10.1016/j.jct.2015.01.001. [DOI] [Google Scholar]
  28. Jou F.-Y.; Mather A. E. Solubility of carbon dioxide in an aqueous mixture of methyldiethanolamine and N-methylpyrrolidone at elevated pressures. Fluid Phase Equilib. 2005, 228-229, 465–469. 10.1016/j.fluid.2004.10.004. [DOI] [Google Scholar]
  29. Zong L.; Chen C.-C. Thermodynamic modeling of CO2 and H2S solubilities in aqueous DIPA solution, aqueous sulfolane-DIPA solution, and aqueous sulfolane-MDEA solution with electrolyte NRTL model. Fluid Phase Equilib. 2011, 306, 190–203. 10.1016/j.fluid.2011.04.007. [DOI] [Google Scholar]
  30. Shirazizadeh H. A.; Haghtalab A. Simultaneous solubility measurement of (ethyl mercaptans + carbon dioxide) into the aqueous solutions of (N-methyl diethanolamine + sulfolane + water). J. Chem. Thermodyn. 2019, 133, 111–122. 10.1016/j.jct.2019.02.003. [DOI] [Google Scholar]
  31. Wang L.; Yu S.; Li Q.; Zhang Y.; An S.; Zhang S. Performance of sulfolane / DETA hybrids for CO2 absorption: phase splitting behaviour, kinetics and thermodynamics. Appl. Energy 2018, 228, 568–576. 10.1016/j.apenergy.2018.06.077. [DOI] [Google Scholar]
  32. Luo W.; Guo D.; Zheng J.; Gao S.; Chen J. CO2 absorption using biphasic solvent: blends of diethylenetriamine, sulfolane, and water. Int. J. Greenh. Gas Control 2016, 53, 141–148. 10.1016/j.ijggc.2016.07.036. [DOI] [Google Scholar]
  33. Lu J.-G.; Lu Z.-Y.; Chen Y.; Wang J.-T.; Gao L.; Gao X.; Tang Y.-Q.; Liu D.-G. CO2 absorption into aqueous blends of ionic liquid and amine in a membrane contactor. Sep. Purif. Technol. 2015, 150, 278–285. 10.1016/j.seppur.2015.07.010. [DOI] [Google Scholar]
  34. Krupiczka R.; Rotkegel A.; Ziobrowski Z. Comparative study of CO2 absorption in packed column using imidazolium based ionic liquids and MEA solution. Sep. Purif. Technol. 2015, 149, 228–236. 10.1016/j.seppur.2015.05.026. [DOI] [Google Scholar]
  35. Bogolitsyn K. G.; Skrebets T. E.; Makhova T. A. Physiochemical properties of 1-butyl-3-methylimidazolium acetate. Russ. J. Gen. Chem. 2009, 79, 125–128. 10.1134/s1070363209010198. [DOI] [Google Scholar]
  36. Umecky T.; Abe M.; Takamuku T.; Makino T.; Kanakubo M. CO2 absorption features of 1-ethyl-3-methylimidazolium ionic liquids with 2, 4-pentanedionate and its fluorine derivatives. J. CO2 Util. 2019, 31, 75–84. 10.1016/j.jcou.2019.02.020. [DOI] [Google Scholar]
  37. Safarov J.; Geppert-Rybczyńska M.; Kul I.; Hassel E. Thermophysical properties of 1-butyl-3-methylimidazolium acetate over a wide range of temperatures and pressures. Fluid Phase Equilib. 2014, 383, 144–155. 10.1016/j.fluid.2014.10.015. [DOI] [Google Scholar]
  38. Balchandani S.; Mandal B.; Dharaskar S. Measurements and modeling of vapor liquid equilibrium of CO2 in amine activated imidazolium ionic liquid solvents. Fluid Phase Equilib. 2020, 521, 112643. 10.1016/j.fluid.2020.112643. [DOI] [Google Scholar]
  39. Balchandani S.; Singh R. COSMO-RS analysis of CO2 solubility in N-methyldiethanolamine, sulfolane, and 1-butyl-3-methyl-imidazolium acetate activated by 2-methylpiperazine for post combustion carbon capture. ACS Omega 2021, 6, 747–761. 10.1021/acsomega.0c05298. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Balchandani S. C.; Mandal B.; Dharaskar S. Stimulation of CO2 solubility in reversible ionic liquids activated by novel 1-(2-aminoethyl piperazine) and bis (3-aminopropyl amine). Sep. Purif. Technol. 2021, 262, 118260. 10.1016/j.seppur.2020.118260. [DOI] [Google Scholar]
  41. Dey A.; Dash S. K.; Mandal B. Equilibrium CO2 solubility and thermophysical properties of aqueous blends of 1-(2-aminoethyl) piperazine and N-methyldiethanolamine. Fluid Phase Equilib. 2018, 463, 91–105. 10.1016/j.fluid.2018.01.030. [DOI] [Google Scholar]
  42. Ahmady A.; Hashim M. A.; Aroua M. K. Absorption of carbon dioxide in the aqueous mixtures of methyldiethanolamine with three types of imidazolium based ionic liquids. Fluid Phase Equilib. 2011, 309, 76–82. 10.1016/j.fluid.2011.06.029. [DOI] [Google Scholar]
  43. Mirarab M.; Sharifi M.; Ghayyem M. A.; Mirarab F. Prediction of solubility of CO2 in ethanol-[emim] [Tf2N] ionic liquid mixtures using artificial neural networks based on genetic algorithm. Fluid Phase Equilib. 2014, 371, 6–14. 10.1016/j.fluid.2014.02.030. [DOI] [Google Scholar]
  44. Najafloo A.; Zoghi A. T.; Feyzi F. Measuring solubility of carbon dioxide in aqueous blends of N-methyldiethanolamine and 2-((2-aminoethyl) amino) ethanol at low CO2 loadings and modelling by electrolyte SAFT-HR EoS. J. Chem. Thermodyn. 2015, 82, 143–155. 10.1016/j.jct.2014.11.006. [DOI] [Google Scholar]
  45. Sema T.; Naami A.; Idem R.; Tontiwachwuthikul P. Correlations for equilibrium solubility of carbon dioxide in aqueous 4-(diethylamino)-2-butanol solution. Ind. Eng. Chem. Res. 2011, 50, 14008–14015. 10.1021/ie2008345. [DOI] [Google Scholar]
  46. Agarwal N. K.; Mondal B. K.; Samanta A. N. Measurement of vapor -liquid equilibrium and e-NRTL model development of CO2 absorption in aqueous dipropylenetriamine. Environ. Sci. Pollut. Res. 2021, 28, 19285–19297. 10.1007/s11356-020-12019-w. [DOI] [PubMed] [Google Scholar]
  47. Kim Y. S.; Choi W. Y.; Jang J. H.; Yoo K.-P.; Lee C. S. Solubility measurement and prediction of carbon dioxide in ionic liquid. Fluid Phase Equilib. 2005, 228-229, 439–445. 10.1016/j.fluid.2004.09.006. [DOI] [Google Scholar]
  48. Na S.; Hwang S. J.; Kim H.; Baek I.-H.; Lee K. S. Modeling of CO2 solubility of an aqueous polyamine solvent for CO2 capture. Chem. Eng. Sci. 2019, 204, 140–150. 10.1016/j.ces.2019.04.021. [DOI] [Google Scholar]
  49. Voice A. K.; Vevelstad S. J.; Chen X.; Nguyen T.; Rochelle G. T. Aqueous 3-(methylamino) propylamine for CO2 capture. Int. J. Greenh. Gas Control 2013, 15, 70–77. 10.1016/j.ijggc.2013.01.045. [DOI] [Google Scholar]
  50. Yuan Y.; Rochelle G. T. CO2 absorption rate and capacity of semi-aqueous piperazine for CO2 capture. Int. J. Greenh. Gas Control 2019, 85, 182–186. 10.1016/j.ijggc.2019.03.007. [DOI] [Google Scholar]
  51. Pinto A. M.; Rodríguez H.; Arce A.; Soto A. Carbon dioxide absorption in the ionic liquid 1-ethylpyridinium ethylsulphate and its mixture with another ionic liquid. Int. J. Greenh. Gas Control 2013, 18, 296–304. 10.1016/j.ijggc.2013.08.005. [DOI] [Google Scholar]
  52. Watanabe M.; Kodama D.; Makino T.; Kanakubo M. CO2 absorption properties of imidazolium based ionic liquids using a magnetic suspension balance. Fluid Phase Equilib. 2016, 420, 44–49. 10.1016/j.fluid.2015.12.055. [DOI] [Google Scholar]
  53. dos Santos P. F.; André L.; Ducousso M.; Contamine F.; Cézac P. Experimental measurement of CO2 solubility in aqueous Na2SO4 solution at temperatures between 303.15 and 423.15 K and Pressures upto 20 MPa. J. Chem. Eng. Data 2020, 65, 3230–3239. 10.1021/acs.jced.0c00230. [DOI] [Google Scholar]
  54. Mondal B. K.; Bandyopadhyay S. S.; Samanta A. N. Vapor-liquid equilibrium measurement and ENRTL modeling of CO2 absorption in aqueous hexamethylenediamine. Fluid Phase Equilib. 2015, 402, 102–112. 10.1016/j.fluid.2015.05.033. [DOI] [Google Scholar]
  55. Böttinger W.; Maiwald M.; Hasse H. Online NMR spectroscopic study of species distribution in MEA-H2O-CO2 and DEA-H2O-CO2. Fluid Phase Equilib. 2008, 263, 131–143. 10.1016/j.fluid.2007.09.017. [DOI] [Google Scholar]
  56. Du Y.; Rochelle G. T. Thermodynamic modeling of aqueous piperazine / (N-(2-aminoethyl) piperazine for CO2 capture. Energy Procedia 2014, 63, 997–1017. 10.1016/j.egypro.2014.11.108. [DOI] [Google Scholar]
  57. Shiflett M. B.; Kasprzak D. J.; Junk C. P.; Yokozeki A. Phase behavior of {carbon dioxide + [bmim] [Ac]} mixtures. J. Chem. Thermodyn. 2008, 40, 25–31. 10.1016/j.jct.2007.06.003. [DOI] [Google Scholar]
  58. Najibi H.; Maleki N. Equilibrium solubility of carbon dioxide in N-methyldiethanolamine + piperazine aqueous solution: Experimental measurement and prediction. Fluid Phase Equilib. 2013, 354, 298–303. 10.1016/j.fluid.2013.06.022. [DOI] [Google Scholar]
  59. Sadegh N.; Stenby E. H.; Thomsen K. Thermodynamic modelling of CO2 absorption in aqueous N-methyldiethanolamine using extended UNIQUAC model. Fuel 2015, 144, 295–306. 10.1016/j.fuel.2014.12.002. [DOI] [Google Scholar]
  60. Mota Martinez M. T.; Kroon M. C.; Peters C. J. Modeling CO2 solubility in an ionic liquid: a comparison between a cubic and a group contribution EoS. J. Supercrit. Fluids 2015, 101, 54–62. 10.1016/j.supflu.2015.02.024. [DOI] [Google Scholar]
  61. Kundu M.; Bandyopadhyay S. S. Solubility of CO2 in water + diethanolamine + N-methyldiethanolamine. Fluid Phase Equilib. 2006, 248, 158–167. 10.1016/j.fluid.2006.08.001. [DOI] [Google Scholar]
  62. Benamor A.; Aroua M. K. Modeling of CO2 solubility and carbamate concentration in DEA, MDEA and their mixtures using Deshmukh-Mather model. Fluid Phase Equilib. 2005, 231, 150–162. 10.1016/j.fluid.2005.02.005. [DOI] [Google Scholar]
  63. Kim I.; Hoff K. A.; Hessen E. T.; Haug-Warberg T.; Svendsen H. F. Enthalpy of absorption of CO2 with alkanolamine solutions predicted from reaction equilibrium constants. Chem. Eng. Sci. 2009, 64, 2027–2038. 10.1016/j.ces.2008.12.037. [DOI] [Google Scholar]
  64. Suleman H.; Maulud A. S.; Syalsabila A. Thermodynamic modelling of carbon dioxide solubility in aqueous amino acid salt solutions and their blends with alkanolamines. J. CO2 Util. 2018, 26, 336–349. 10.1016/j.jcou.2018.05.014. [DOI] [Google Scholar]
  65. Pakzad P.; Mofarahi M.; Izadpanah A. A.; Afkhamipour M.; Lee C.-H. An experimental and modeling study of CO2 solubility in a 2- amino-2-methyl-1-propanol (AMP) +N-methyl-2-pyrrolidone (NMP). Chem. Eng. Sci. 2018, 175, 365–376. 10.1016/j.ces.2017.10.015. [DOI] [Google Scholar]
  66. Liu H.; Chan C.; Tontiwachwuthikul P.; Idem R. Analysis of CO2 equilibrium solubility of seven tertiary amine solvents using thermodynamic and ANN models. Fuel 2019, 249, 61–72. 10.1016/j.fuel.2019.02.088. [DOI] [Google Scholar]
  67. Dey A.; Dash S. K.; Balchandani S. C.; Mandal B. Investigation on the inclusion of 1-(2-aminoethyl) piperazine as a promoter on the equilibrium CO2 solubility of aqueous 2-amino-2-methyl-1-propanol. J. Mol. Liq. 2019, 289, 111036. 10.1016/j.molliq.2019.111036. [DOI] [Google Scholar]
  68. Dash S. K.; Samanta A. N.; Bandyopadhyay S. S. Simulation and parametric study of the post combustion CO2 capture using aqueous 2-amino -2-methyl-1-propanol and piperazine. Int. J. Greenh. Gas Control 2014, 21, 130–139. 10.1016/j.ijggc.2013.12.003. [DOI] [Google Scholar]
  69. Mathias P. M.; Reddy S.; Smith A.; Afshar K. Thermodynamic analysis of CO2 capture solvents. Int. J. Greenh. Gas Control 2013, 19, 262–270. 10.1016/j.ijggc.2013.09.001. [DOI] [Google Scholar]
  70. Kim I.; Svendsen H. F. Heat of absorption of carbon dioxide (CO2) in monoethanolamine (MEA) and 2-(aminoethyl) ethanolamine (AEEA) solutions. Ind. Eng. Chem. Res. 2007, 46, 5803–5809. 10.1021/ie0616489. [DOI] [Google Scholar]
  71. Carson J. K.; Marsh K. N.; Mather A. E. Enthalpy of solution of carbon dioxide in (water + monoethanolamine, or diethanolamine, or N-methyldiethanolamine) and (water + monoethanolamine + N-methyldiethanolamine) at T=298.15 K. J. Chem. Thermodyn. 2000, 32, 1285–1296. 10.1006/jcht.2000.0680. [DOI] [Google Scholar]
  72. Pandey D.; Kumar Mondal M. Thermodynamic modeling and new experimental CO2 solubility into aqueous EAE and AEEA blend, heat of absorption, cyclic absorption capacity and desorption study for post-combustion CO2 capture. Chem. Eng. J. 2021, 410, 128334. 10.1016/j.cej.2020.128334. [DOI] [Google Scholar]
  73. Chowdhury F. A.; Okabe H.; Shimizu S.; Onoda M.; Fujioka Y. Development of novel tertiary amine absorbents for CO2 capture. Energy Procedia 2009, 1, 1241–1248. 10.1016/j.egypro.2009.01.163. [DOI] [Google Scholar]
  74. Liang Y.; Liu H.; Rongwong W.; Liang Z.; Idem R.; Tontiwachwuthikul P. Solubility, absorption heat and mass transfer studies of CO2 absorption into aqueous solution of 1-dimethylamino-2-propanol. Fuel 2015, 144, 121–129. 10.1016/j.fuel.2014.11.098. [DOI] [Google Scholar]
  75. Ling H.; Liu S.; Gao H.; Zhang H.; Liang Z. Solubility of N2O, equilibrium solubility, mass transfer study and modeling of CO2 absorption into aqueous monoethanolamine (MEA)/1-dimethylamino-2-propanol (1DMA2P) solution for post-combustion CO2 capture. Sep. Purif. Technol. 2020, 232, 115957. 10.1016/j.seppur.2019.115957. [DOI] [Google Scholar]
  76. Possolo A.Simple guide for evaluating and expressing the uncertainty of NIST measurement results; U.S. Department of CommerceNIST Technical Note: Washington, D.C., 1900, 2015.
  77. Kumar G.; Kundu M. Solubility of CO2 in aqueous blends of (N-methyl-2-ethanolamine + N-methyl-diethanolamine) and (N-methyl-2-ethanolamine + 2-amino-2-methyl-1-propanol). J. Chem. Eng. Data 2012, 57, 3203–3209. 10.1021/je300797k. [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

ao2c02217_si_001.pdf (313.5KB, pdf)

Articles from ACS Omega are provided here courtesy of American Chemical Society

RESOURCES