Clara Casado-Coterillo1, Ana Fernández-Barquín2, Susana Valencia3, Ángel Irabien4. 1. Department of Chemical and Biomolecular Engineering, Universidad de Cantabria, Av. Los Castros s/n, 39005 Santander, Spain. casadoc@unican.es. 2. Department of Chemical and Biomolecular Engineering, Universidad de Cantabria, Av. Los Castros s/n, 39005 Santander, Spain. fbarquina@unican.es. 3. Instituto de Tecnología Química, Universitat Politècnica de València-Consejo Superior de Investigaciones Científicas, Av. de los Naranjos s/n, 46022 Valencia, Spain. svalenci@itq.upv.es. 4. Department of Chemical and Biomolecular Engineering, Universidad de Cantabria, Av. Los Castros s/n, 39005 Santander, Spain. irabienj@unican.es.
Abstract
In the present work, the effect of zeolite type and topology on CO₂ and N₂ permeability using zeolites of different topology (CHA, RHO, and LTA) in the same Si/Al = 5, embedded in poly(trimethylsilyl-1-propyne) (PTMSP) is evaluated with temperature. Several models are compared on the prediction of CO₂/N₂ separation performance and then the modified Maxwell models are selected. The CO₂ and N₂ permeabilities through these membranes are predicted with an average absolute relative error (AARE) lower than 0.6% taking into account the temperature and zeolite loading and topology on non-idealities such as membrane rigidification, zeolite⁻polymer compatibility and sieve pore blockage. The evolution of this structure⁻performance relationship with temperature has also been predicted.
In the present work, the effect of zeolite type and topology on CO₂ and N₂ permeability using zeolites of different topology (CHA, RHO, and LTA) in the same Si/Al = 5, embedded in poly(trimethylsilyl-1-propyne) (PTMSP) is evaluated with temperature. Several models are compared on the prediction of CO₂/N₂ separation performance and then the modified Maxwell models are selected. The CO₂ and N₂ permeabilities through these membranes are predicted with an average absolute relative error (AARE) lower than 0.6% taking into account the temperature and zeolite loading and topology on non-idealities such as membrane rigidification, zeolite⁻polymer compatibility and sieve pore blockage. The evolution of this structure⁻performance relationship with temperature has also been predicted.
Carbon capture strategies are still envisaged as one of the major challenges for preventing CO2 emissions to the atmosphere from anthropogenic sources. Membrane separation technology is often presented as an energy efficient and economical alternative to conventional capture technologies although not yet passing through the stage of pilot plant scale [1]. Polymer membranes for CO2 separation are especially constrained by a performance ‘upper bound’ trade-off between gas permeability and selectivity, which becomes especially significant for treating large volumes of flue gas. The simultaneous improvement on membrane permeability and selectivity is very attractive for industrial applications. Mixed matrix membranes (MMMs), which consist of the introduction of small amounts, usually below 30 wt %, of a special filler providing properties such as a molecular sieve, ion-exchange and robustness in a processable polymer matrix [2], are surpassing this upper bound [3,4,5,6,7]. More than homogenous distribution, the main challenge of MMM fabrication is achieving a good adhesion and compatibility between the inorganic filler and the polymer, avoiding the voids and defects that deteriorate separation performance [8].Polyimide materials have been, firstly, studied for gas separation because of their stability and selectivity. However, permeability is usually low for CO2 separation [9]. The first and most widely used fillers are zeolites since the pioneering work of Zimmermann et al. [10]. Recently, zeolite 5A was introduced in Matrimid to prepare MMMs for CO2/CH4 separation, after particle surface modification to obtain a defect-free membrane [11]. Amooghin et al. [12] reported the ion exchange effect of Ag+ in zeolite Y-filled MatrimidMMMs led to a CO2 permeability increase of 123% from 8.64 Barrer in pure Matrimid to 18 Barrer in 15% AgY-filled MMM, where 1 Barrer is defined as 10−10 cm3(STP) cm cm−2 s−1 cmHg−1.A simple approach to produce high permeability and selectivity membranes without the use of modifiers that complicate the synthesis procedures is the variation of the inorganic particles composition themselves to influence the polarity in comparison with the selected polymer matrix. In the case of zeolites, this is represented by the Si/Al ratio and determines many properties of the material, including ion exchange capacity [13]. Thus, for the development of high perm-selective membrane materials for CO2 separation, we focused on the most permeable polymer, poly(trimethylsilyl-1-propyne), PTMSP, and observed that the adhesion with LTA fillers and therefore CO2/N2 separation properties were best with a low Si/Al ratio even upon increasing temperature [14]. The strong influence of zeolite topology on CO2 adsorption has also been acknowledged [15], giving the possibility to locally tune the energy interactions, promoting size and shape selectivity and clustering. However, this effect is not always straightforward because most zeolites cannot be synthesized in pure silica form or at similar Si/Al compositions. Exceptions to this rule are LTA (ITQ-29) [16] and CHA [17]. To avoid this and to see that the lower Si/Al favored the compatibility with glassy hydrophobic PTMSP [14], we fixed an intermediate value of the Si/Al ratio to 5, in order to study the influence of the zeolite filler topology using different small pore zeolites (LTA, CHA, RHO) in the CO2/N2 separation of PTMSP-based MMMs in the temperature range 298–333 K [18]. These MMM surpassed the Robeson’s upper bound at 5 wt % loading even at increasing temperature, but the separation of CO2/N2 mixtures with a 12.5 wt % CO2 content resulted in a real separation factor much lower than the intrinsic selectivity of the membrane material.Besides the large number of research and publications devoted to new MMM material combinations for gas separation, there is also a growing literature on the development of systematic approaches to describe gas transport through MMMs [19,20,21]. The MMM performance has been evaluated as a function of the membrane morphology imposed by the filler loading and several models have been compared lately [22,23,24,25]. They all present several limitations such as not being valid but at low filler loadings, a large number of adjustable parameters, or not being able to predict the non-idealities common in MMM morphologies that influence their gas separation performance. The most accurate models reported so far are those proposed by Moore et al. [26] and Li et al. [27], accounting for the void interphase, which describes the compatibility between the zeolite filler and the polymer continuous matrix, and the polymer chain rigidification caused by the effect of the inorganic particles embedded in the polymer matrix, in the first case. The second one distinguishes the transport of fast and slow gas molecules, respectively, and introduces the effect of pore blockage that may become important when the dispersed phase is a porous particle as zeolites are [25]. In fact, partial pore blockage has been recently proven to be the dominant effect when porous zeolites are used as fillers in Matrimid, impeding the increase of permeability with increasing dispersed phase loading [28], in agreement with most studies dealing with low permeability polyimides like Matrimid, polysulfone (PSf), and polyethersulfone (PES). The effect of temperature in the performance of those models is seldom reported [29,30].Thus, in this work the gas permeation through MMMs prepared from small pore zeolites of different topology and constant Si/Al = 5 in PTMSP is evaluated by modified Maxwell models including the void thickness, chain immobilization and pore-blockage effects, and their variation with temperature.
2. Materials and Methods
The MMMs were prepared by a solution-casting method from PTMSP (ABCR, Gelest) previously dissolved in toluene, and CHA, RHO and LTAzeolites of Si/Al = 5 prepared at the Instituto de Tecnología Química (UPV-CSIC) as reported in our previous work [18]. The characteristics of the zeolite fillers used in this work are summarized in Table 1. The membranes were stored in plastic Petri dishes and they were immersed in methanol for a few minutes before gas permeation experiments to remove the effect of aging [31]. The density of the PTMSP pure membranes is 0.75 g/cm3.
Table 1
Properties of the zeolite fillers with Si/Al = 5 used in this work.
Filler
Crystal Size (µm)
Density (g/cm3)
Pore Size 1 (nm)
Structure 2
LTA
0.5
1.498 [32]
0.41
CHA
1.0
2.090
0.38
RHO
1.5
1.442 [33]
0.36
1 From [18]. 2 The crystallographic structures have been taken from the International Zeolite Database (http://www.iza-structure.org/databases/): View of the planes 100 for LTA and 001 for CHA and RHO, respectively.
Figure 1 shows the high magnification scanning electron microscope (SEM) images of 5 wt % CHA, LTA, and RHO/PTMSPMMMs. As reported in a previous work [18], the smaller LTA particles are dispersed throughout the whole membrane thickness, of which a small glimpse can be seen in Figure 1a, while the larger CHA and RHO zeolites form a bottom layer of particles bound together by the polymer, as observed in Figure 1b for a CHA/PTMSPMMM. In the case of RHO, this adhesion is so strong that individual crystals are not easily discerned in Figure 1c. In this work, we want to focus on the compatibility and adhesion between the filler and the polymer, as the main challenge in MMM fabrication [34,35], thus it is important to notice in Figure 1 that even the largest particles at the bottom of the membrane are apparently well adhered with the polymer continuous matrix.
Figure 1
Scanning electron microscope (SEM) images of the detailed contact between LTA (a); CHA (b); RHO (c) and poly(trimethylsilyl-1-propyne) (PTMSP) in 5 wt % loaded mixed matrix membranes (MMMs). Bars correspond to 6 µm.
The thickness of every MMM is measured experimentally at 5 points over the membrane surface for each membrane sample using a IP-65 Mitutoyo digital micrometer (Kawasaki, Japan) with a precision of 0.001 mm. The average thickness for all the MMMs tested in this work was 75 ± 14 µm.The single gas permeation of N2 and CO2 was measured in that order, using a home-made constant volume set-up described elsewhere [14,18], in the temperature range 298 to 333 K and a feed pressure of 3–4 bar and atmospheric permeate pressure. The average values of the permeabilities and selectivities obtained previously and used in this work are collected in Table A1 in Appendix A.
Table A1
Experimental data of the different MMMs with increasing order of particle size (LTA, 0.5 µm; CHA, 1 µm; RHO, 1.5 µm).
Filler and Loading [18]
T (K)
P(CO2) (Barrer)
P(N2) (Barrer)
α(CO2/N2)
5 wt % LTA
298
7150
794
9
303
13,881
637
22
313
12,448
816
15
323
11,770
1208
10
333
9026
3044
3
10wt % LTA
298
8813
951
9
303
12,921
865
15
313
15,802
892
18
323
16,648
1078
15
333
11,029
4520
2.5
20 wt % LTA
298
10,587
1720
6
303
13,178
2585
5
313
12,980
2519
5
323
11,175
3966
3
333
10,964
4316
2.5
5 wt % CHA
298
2274
292
8
303
3575
329
11
313
5651
372
15
323
11,772
409
29
333
16,145
511
32
10 wt % CHA
298
3363
211
16
303
3620
262
14
313
4351
216
20
323
5892
241
24
333
6485
330
20
5 wt % RHO
298
8205
1325
6
303
8383
1227
7
313
11,722
1214
10
323
12,726
1089
12
333
13,324
1368
10
10 wt % RHO
298
3262
592
6
303
5996
509
12
313
9111
712
13
323
10,304
761
14
333
11,114
1166
10
20 wt % RHO
298
4479
1229
4
303
8883
1173
8
313
7784
1210
6
323
9293
1341
7
333
9498
1704
6
3. Results and Discussion
3.1. Comparison of Known Mixed-Matrix Membrane Model Predictions
First, well-known models for predicting MMM permeation (Appendix B) have been compared in terms of the percentage average absolute relative error (AARE) with the permeability of CO2 and N2 through MMMs, as
where N is the number of experimental data points [23].A Maxwell model often represents the ideal case with no defects and no distortion of separation properties. Table 2 summarizes the AARE values obtained with the models most commonly encountered in the literature, averaged for the whole range of temperature studied in our laboratory to allow comparison.
Table 2
Percentage of average absolute relative error (AARE) for CO2 and N2 permeation (first and second values in every entry) prediction, highlighting those AARE values lower than 20%.
MMM
Series
Parallel
Maxwell
Higuchi
Felske
Lewis-Nielsen
5CHA/PTMSP
17.32/370
108/2026
106/2006
146/2609
118/32.4
24.9/2.14
10CHA/PTMSP
24.2/143
102/2966
99.7/2909
96.8/2854
80/936
10−4/10−5
5LTA/PTMSP
20.6/33.3
11.8/516
11.4/498
26.3/708
2.54/10−3
0.46/0.01
10LTA/PTMSP
40.9/50.0
14.5/631
4.79/214
14.6/560
67.4/9.04
3.98/10−5
20LTA/PTMSP
45.0 /50.0
7.11 /212
8.28/198
10.4/194
3.00/10−4
4.37/10−5
5RHO/PTMSP
8.62/126
12.7/362
12.4/357
16.7/395
0.85/6·10−4
1.84/0.6·10−5
10RHO/PTMSP
24.0/216
57.0/1030
54.5/1003
49.3/947
0.03/2·10−3
4.32/0.02
20RHO/PTMSP
45.3/52.4
72.2/947
63.8/892
44.2/756
22.0/5·10−4
12.3/10−4
According to Table 2, N2 permeability values cannot be predicted by the series, parallel, Maxwell and Higuchi models with acceptable error in all the range of temperature under study. The prediction accuracy of CO2 permeability varies as a function of the zeolite topology. Regarding CO2 permeability, the series and parallel model approaches fit the 5 wt % CHA/PTMSPMMM performance at 323 K, with a lower average AARE for this membrane. The CO2 permeability of LTA/PTMSPMMMs can be described by parallel, Maxwell and Higuchi models in the whole range of operating temperatures and LTA loadings, while the series model only fits the experimental data at low loading. As for the RHO/PTMSPMMM, this is only valid up to 10 wt % RHO loading in the PTMSP matrix. This agrees with the data reported for other MMMs prepared with dispersed fillers of RHO topology [36] where the Maxwell equation only describes the CO2 permeability at low loading, as observed for the ZIF-20/MatrimidMMM, being ZIF-20 a zeolite imidazolate framework of RHO topology as well [36]. In the case of our RHO/PTMSPMMMs, all previous models overestimate the experimental permeabilities.Only the model predictions with AARE lower than 20% are represented in Figure 2, for clarification purposes. The original Maxwell equation overestimates the experimental value for the permeability of all gases and membranes, especially for N2 permeability. This overestimation is more significant at lower operation temperatures, as reported by Clarizia et al. [14]. In this work, this is true for CHA/PTMSPMMMs with the series model, Figure 2a, and the parallel and Maxwell model for LTA/PTMSPMMMs, Figure 2c. These are simplifications of the general Maxwell equation expressed by Equation (B1) to predict the overall steady-state permeability through an ideal defect-free MMM [26]. Those models provide a simple, quantitative framework to predict the transport properties of MMM when the transport properties of the constituent phases are known, especially at low dispersed phase loading. Only more advanced modifications of this Maxwell equation, such as Felske and Lewis–Nielsen, provide enough accuracy for the description of MMM performance, especially in the case of the slow permeating gas, N2, as reflected in Figure 2b,d,f.
Figure 2
Comparison of CO2 (left) and N2 permeabilities through CHA (a,b), LTA (c,d) and RHO (e,f)/PTMSP MMMs with the predictions by the series (dashed lines), parallel (dotted lines), original Maxwell (dash-dot), Higuchi (dash dot dot), Felske (thin continuous line) and Lewis–Nielsen (thick continuous line) models, as a function of temperature. Zeolite loading: 5 wt % (black), 10 wt % (red), 20 wt % (green).
3.2. Reduced Mobility Modified Maxwell Model
In order to account for the non-idealities in the membrane morphology accounting for the compatibility that influence the membrane performance [30], polymer chain rigidification and interphase void thickness, the Maxwell model is applied twice to predict the permeability of a pseudo-interphase induced by the interfacial contact between filler and polymer matrix [25], as schematized in Figure 3a.
Figure 3
Schemes of the modified Maxwell model proposed by Moore et al. [26] (a) and the extended modified Maxwell model proposed by Li et al. [27] (b), both adapted for this work.
According to the reduced mobility modified Maxwell model, the effective permeability through the pseudo-insert in Figure 3a, Peff, is calculated first by
where ϕd is the filler volume fraction in the polymer matrix, PI is the permeability through the rigidified continuous matrix, calculated as the ratio between the experimental permeability through a pure PTMSP membrane [18] and an adjustable parameter, β, as described in Figure 3a, and Pd is the permeability through the zeolite. In this work, this value has been taken from literature data on CO2 and N2 permeation through pure zeolite membranes of similar Si/Al ratio and topology (Table 3) to avoid the usual dispersion on this parameter when calculated from experimental solubility isotherms [23].
Table 3
Permeability data of the pure zeolite dispersed phase, Pd, used for the model predictions.
Zeolite Dispersed Phase
Pd(CO2) (Barrer)
Pd(N2) (Barrer)
T (K)
Reference
CHA (Si/Al = 5) 1
88
0.59
293
[37]
CHA (pure silica)
539
55
313
[38]
LTA (Si/Al = 1)
139
0.048
298
[25]
RHO 2
623
260
298
[33]
1 Si/Al = 5 as the zeolites used in this work. 2 The CO2 permeabilities reported for ZIF-8 composite values are considered as the Rho here, given the similar sodalite topology.
In Equation (2), PI acts as the permeability of the continuous phase, considering as such the interphase, assuming the bulk of the zeolite as the dispersed phase and the affected zeolite interphase with reduced permeability as the continuous phase [39], as represented in the scheme in Figure 3a. ϕs is the volume fraction of the dispersed sieve phase in combined sieve and interphase, given by
where ϕI is the volume fraction of the interface, and lI is the thickness of the ‘interface void’. The permeability of the whole MMM is thus estimated by applying the Maxwell equation again, asAs ϕd + ϕI increases to one, the interphases of neighboring dispersed particles overlap and the overall mixed matrix is rigidified. This occurs preferentially as the zeolite particle loading is increased or the interphase void distance is increased, i.e., voids appear because embedding in the polymer chains becomes more difficult.Equations (2)–(4) predict the overall performance of MMMs taking into account the case morphologies identified by Moore et al. [26], adapted to distinguish the performance of the fast and slow gas in CO2/N2 separation, and including the influence of temperature. This model is thus based on three adjustable parameters, the interphase thickness, lI, and the chain immobilization factor, β, which depends on the permeating gas molecule [39], whose values are presented in Table 4, Table 5 and Table 6 for the CHA/PTMSP, LTA/PTMSP and RHO/PTMSPMMM, respectively.
Table 4
Parameters estimated by the reduced mobility modified Maxwell model for the CHA/PTMSP MMMs.
T (K)
5 wt %
10 wt %
lI (µm) = 1.39
lI (µm) = 0.98
β (CO2)
β (N2)
β (CO2)
β (N2)
298
7.42
61.2
4.90
86.61
303
4.56
53.28
3.48
64.0
313
2.25
42.8
2.87
70.5
323
1.01
31.41
1.97
50.4
333
0.73
20.5
1.00
10.2
Table 5
Parameters estimated by the reduced mobility modified Maxwell model for the LTA/PTMSP MMMs.
T (K)
5 wt %
10 wt %
20 wt %
lI (µm) = 0.60
lI (µm) = 0.56 ± 0.08
lI (µm) = 0.27
β (CO2)
β (N2)
β (CO2)
β (N2)
β (CO2)
β (N2)
298
2.35
21.9
1.83
17.4
1.39
8.82
303
0.93
27.1
1.00
12.0
0.86
5.84
313
1.01
18.9
0.80
11.0
0.85
5.37
323
1.00
10.2
0.72
8.34
0.92
2.72
333
1.29
3.38
1.06
2.49
0.93
2.08
Table 6
Parameters estimated by the reduced mobility modified Maxwell model for the RHO/PTMSP MMMs.
T (K)
5 wt %
10 wt %
20 wt %
lI (µm) = 1.76
lI (µm) = 1.23
lI (µm) = 0.79
β (CO2)
β (N2)
β (CO2)
β (N2)
β (CO2)
β (N2)
298
2.06
0.31
10.62
1.95
3.36
1.46
303
1.57
0.35
2.10
2.98
1.28
1.54
313
1.07
0.30
1.33
1.29
1.43
1.33
323
0.91
0.28
1.17
0.93
1.12
0.93
333
0.87
0.17
1.01
0.45
1.08
0.58
As expected, the chain immobilization factor, β, is smaller for CO2 than N2. This confirms that the polymer chain rigidification normally results in a larger resistance to the transport of the gas with larger molecular diameter [27]. The RHO/PTMSPMMM revealed a different trend, although only at 298 K, which may be attributed to the agglomeration of these larger crystal size and smaller pore size particles at the bottom of the MMM. Interestingly, β(CO2) and β(N2) of the three types of MMMs converge to similar values upon increasing temperature. This may be attributed to the compensating effects of polymer flexibility and chain rigidification of the polymer matrix, which are accentuated for the larger size of the RHO particles than LTA and CHA. This agrees with the current statement that in gas separation through MMMs there is not only an optimum in zeolite loading but also in operating temperature [40].The thickness of the interphase between the zeolite and the polymer matrix, lI (μm), accounts for the compatibility between the zeolite and polymer phases, as well as the defects or voids due to poor compatibility between zeolites and polymer [25]. In this work, the void thickness decreases with increasing zeolite loading and is independent of the type of gas and temperature. It can also be observed that this parameter lI is influenced by the zeolite topology, in the following order: lI (LTA/PTMSP) < lI (CHA/PTMSP) < lI (RHO/PTMSP). This is attributed to the different interaction with the polymer matrix, and the decreasing particle size, in agreement with results obtained for zeolite-APTES/PESMMMs [27]. Those authors obtained as thickness of the rigidified region l = 0.30 µm for a cubic zeolite A (Si/Al = 1) dispersed phase in PES, and values of the chain immobilization factor (β) of 3 and 4, for O2 and N2, respectively. A rigidified thickness of 1.4 µm and chain immobilization factor was reported for ZIF-20/polysulfoneMMMs, estimating a Pd = 45 Barrer, in agreement with pore ZIF membranes of similar pore size and topology [41]. Therefore, the magnitude of the adjustable parameters obtained in this work are in the same order of magnitude.These parameters allow a prediction of the permeability through these MMMs by this model with an error of up to a global AARE below 6 ± 1%, where the maximum errors lie on 10CHA/PTMSP and 10RHO/PTMSP membranes at 298 K.
3.3. Extended Pore-Blockage Reduced Mobility Modified Maxwell Model
Although in this work the channel opening of the zeolites (0.38, 0.41 and 0.36 nm for CHA, LTA and RHO topologies, respectively) lie in the same range as the gas pair molecules to be separated, we have included the analysis of the partial pore blockage effect [25,35] as Li et al. [27] for zeolite A-APTES/PESMMM, adapted in the Scheme shown in Figure 3b. This approach consists in applying the Maxwell equation not just twice, but three times, and requires not just three, but six adjustable parameters, in order to define the dispersed phase volume fraction in the pore-blockage and the rigidified region, as well as the immobilization factor for the pair of gases in both sections.Firstly, the permeability in the pore-blockage affected zone near the zeolite particle surface as represented in Figure 3b, is calculated bySecondly, the P3rd permeability calculated by Equation (5) is entered as the new dispersed phase, and the permeability of the rigidified region, Prig, is taken as the continuous phase, to calculate the new Peff, P2nd:Thirdly and lastly, the permeability through the bulk of the MMM is calculated using P2nd as the new permeability for the dispersed phase, turning the previous equations into
with
andNow, the adjustable parameters are ϕblo and ϕrig, the calculated volume fraction of the pore-blockage affected region, and the rigidified region, respectively, as well as β′ and β, whose values depend on the permeating gas, and identify the partial pore blockage affected and rigidified polymer region, respectively, as given in Figure 3b. Note that β is similar to the chain immobilization factor introduced by the previous reduced mobility modified Maxwell model, discussed in the previous section.Figure 4, Figure 5 and Figure 6 show the comparison of the prediction of CO2 and N2 permeability using both modified Maxwell models. The experimental results are well described for the Si/Al = 5 zeolites, indicating a good compatibility between intermediate Si/Al zeolites and the glassy PTMSP [14]. The optimized β value is higher for N2 than CO2, for CHA and RHO/PTMSPMMMs. β(N2) values of 0.92 are obtained for the CHA/PTMSPMMMs, independently of zeolite loading, where as they increase from 0.66 to 1.40 for the RHO/PTMSPMMMs. β(CO2) gives smaller values than β(N2), as expected for smaller molecules. β(CO2) follows similar trends as β(N2), being constant for CHA and LTA/PTMSPMMMs, at values of 0.3 and 0.2, respectively, and increasing from 0.26 to 0.94 with increasing loading for RHO/PTMSPMMMs. These values are smaller than 1.6, the value recently published for Sigma-1/MatrimidMMMs, considering also the partial pore blockage effect [28]. The values of β′(CO2) are 0.06 for CHA and RHO/PTMSPMMMs, and below 0.03 for LTA/PTMSPMMMs. The β′(N2) are 70% higher in the LTA and RHO/PTMSPMMMs, and 30% higher than β′(CO2) in the case of CHA/PTMSPMMMs. These results reveal that, although the partial pore blockage is low in small–pore zeolites, it is more significant for the smaller pore size zeolite fillers as CHA or RHO, than LTA.
Figure 4
Effect of temperature and zeolite loading on the CO2 (a) and N2 (b) permeability through CHA/PTMSP MMMs: Thin lines correspond to the reduced mobility modified Maxwell model and thick lines to the extended modified Maxwell model. Dash, dot and continuous patterns, and void, half-filled and full symbols, refer to 5 wt %, 10 wt % and 20 wt % zeolite loading, respectively.
Figure 5
Effect of temperature and zeolite loading on the CO2 (a) and N2 (b) permeability through LTA/PTMSP MMMs: Thin lines correspond to the reduced mobility modified model and thick lines to the extended modified Maxwell model. Dash, dot and continuous patterns, and void, half-filled and full symbols, refer to 5 wt %, 10 wt % and 20 wt % zeolite loading, respectively.
Figure 6
Effect of temperature and zeolite loading on the CO2 (a) and N2 (b) permeability through RHO/PTMSP MMMs: Thin lines correspond to the reduced mobility modified model and thick lines to the extended modified Maxwell model. Dash, dot and continuous patterns, and void, half-filled and full symbols, refer to 5 wt %, 10 wt % and 20 wt % zeolite loading, respectively.
The models describe well the CO2 and N2 permeability through the Si/Al = 5 zeolite/PTMSPMMMs as a function of zeolite loading, topology and temperature. The CO2 permeability increases with temperature while the N2 permeability slightly increases for CHA and RHO/PTMSPMMMs, behavior similar to pure zeolite membranes, as reflected by the activation energies derived from the Arrhenius equation in the previous work [18], in agreement with other works in literature [42]. The LTA/PTMSPMMMs show a maximum performance at 10 wt % zeolite loading and 323 K, losing permselectivity at higher loading and temperature. The worst AARE for the prediction of experimental permeabilities through the extended partial pore blockage reduced mobility model is 0.6%, for the 5 wt % CHA/MMM at 313 K, which were in some of the best agreement with the first modified Maxwell model. Partial pore blockage may be affecting permeability even with small-pore zeolite fillers in a glassy polymer matrix [28].
4. Conclusions
The experimental CO2 and N2 permeabilities of Si/Al = 5 small-pore zeolites/PTMSPMMM has been compared with modified Maxwell model predictions as a function of zeolite topology (CHA, LTA, RHO), loading (0–20 wt %) and temperature (298–333 K). Three adjustable parameters accounting for the membrane rigidification, void interphase and partial pore-blockage have been optimized at values lower than reported in literature. They reveal the compatibility between Si/Al = 5 zeolites dispersed in the glassy polymerPTMSP, as well as a small influence of partial pore blockage in the case of the smaller pore size CHA and RHO. The CO2 and N2 permeabilities through these membranes are predicted with an AARE lower than 0.6% taking into account zeolite loading and topology on non-idealities such as membrane rigidification and sieve pore blockage and their influence on MMM performance. The evolution of this structure-performance relationship with temperature has also been predicted. The implementation of the Arrhenius dependency of the MMM permeability and the prediction studied in this work constitute a step further towards the understanding of the MMM performance in order to develop new membrane materials and module configurations with potential application in CO2 separation, which will be addressed in a future work.