Effect of pore geometries on the catalytic properties of NiO–Al2O3 catalysts in CO2 reforming of methane

Xin Huangab, Nannan Sun*c, Guangxin Xueab, Changzhen Wangd, Haijuan Zhanab, Ning Zhaoae, Fukui Xiaoae, Wei Wei*c and Yuhan Sunc
aState Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan 030001, China
bUniversity of Chinese Academy of Sciences, Beijing 100049, China
cCAS Key Laboratory of Low-Carbon Conversion Science and Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China. E-mail: sunnn@sari.ac.cn; weiwei@sari.ac.cn
dEngineering Research Center of Ministry of Education for Fine Chemicals, Shanxi University, Taiyuan 030006, China
eNational Engineering Research Center for Coal-based Synthesis, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan 030001, China

Received 13th December 2014 , Accepted 16th February 2015

First published on 17th February 2015


Abstract

Mesoporous NiO–Al2O3 catalysts were prepared by an evaporation-induced self-assembly (EISA) method, during which the amount of HNO3 added in the precursor solution was varied. Characterization results indicated that the phase structure, component interaction and surface chemistry are fairly similar for all the samples, while the dispersion and textural properties, which are determined by the structure of the micelles and reaction rate of hydrolysis during the EISA process, changed significantly, thus leading to considerably different catalytic performance in CO2 reforming of methane (CRM). The well-known trend that carbon formation rate decreases with the decrease of Ni particle size was observed in the current NA-Hx samples, however, it is very interesting that the disordered slit-like pores endowed the NA-H32 sample with a better capability to inhibit carbon formation as it showed substantially fewer carbon deposits as compared with NA-H16 (ordered cylindrical pore), despite the fact that the Ni particles in these samples are of similar size. In summary, the excellent performance of the NA-H32 catalyst in comparison to other non-promoted NiO–Al2O3 catalysts holds promise for using this cost-effective system in practical CRM applications.


1. Introduction

In recent years, chemical conversion of CH4 is drawing re-newed interest owing to the demand for low carbon resources and sustainable development. Furthermore, it is believed that the successful exploitation and recovery of shale gas in North America will further stimulate the use of CH4 as a chemical feedstock in the near future.1,2 At the same time, huge amounts of CO2 emitted by anthropogenic activities represent another concern that is closely related to the energy and environmental sectors of human society, and thus catalytic conversion of CO2 to value-added products has been recognized as a potential solution for CO2 reduction.3–7

CO2 reforming of methane (CRM), also known as dry reforming, has been well demonstrated to be a reaction that has economic plus environmental dual-benefits, namely the process converts CO2 and CH4 (which are the two major contributors to the greenhouse effect) simultaneously, and produces syngas, which can be used for the synthesis of high quality fuels and other downstream chemicals.8–10 Unfortunately, cost- and performance-efficient catalysts have still not yet been accessed for practical deployment of the process.

Generally, active catalysts for the CRM reaction include Ni, Co, Fe, Ru, Pd and Pt, among which noble metals possessed excellent performance, but their limited availability makes them almost inhibitive for any industrial CRM applications.11–13 In this regards, Ni-based catalysts are more promising owing to their low cost. The activity of Ni-based catalysts can be effectively enhanced to achieve similar level of noble metals as long as the structure of the catalysts can be properly designed and fulfilled by a variety of preparation protocols.14,15 However, most of the Ni-based catalysts suffered from sintering and/or formation of inactive carbon residuals during CRM, which further deactivated the catalyst by either coverage of the active sites or decay of the catalysts structure.8–10,15

Extensive researches have been carried out in order to maximize the advantages of the Ni-based catalysts without compromise to much on their stability, and a common conclusion from these works is that smaller Ni particles have a better capability to inhibit the formation of carbon.16–18 However, since CRM is normally performed at temperatures higher than 700 °C as the reaction is highly endothermic, it is not so straightforward to keep the metallic Ni sites from crystalline growth. To circumvent this, several strategies were developed, for example, Hu and co-workers contributed a series of papers on using NiO–MgO solid solution to catalyze CRM, since the Ni species in the system interact strongly with the support, sintering could be avoided effectively.18–21 Core–shell structured catalysts were also reported for CRM, where nano-sized Ni particles were maintained during reaction led to negligible carbon deposition.22,23 Another approach for preparing catalyst with improved thermal stability is to mimic naturally occurred mineral structure, such as perovskite.24–26 Recently, it was demonstrated that catalysts with ordered mesoporous structure showed promising performance in CRM.27–29 For example, Chou prepared ordered mesoporous NiO–CaO–Al2O3 catalysts, which exhibited excellent catalytic activities and stabilities in CRM.30 Similarly, in Wang's work, it was reported that agglomeration of Ni particles was observed for Ni-impregnated NiCeAl catalyst, which accelerated the rate of carbon deposition, while on the ordered mesoporous catalyst, this was effectively inhibited leading to a high performing catalyst.31 However, since the catalysts in these works differ significantly in chemical compositions, a systematic and exclusive clarification and discussion on how different dispersive and textual properties can affect the catalytic properties are yet to be reported.

In the present paper, a NiO–Al2O3 system was selected as modal materials due to its simplicity, samples with different pore geometries was prepared by altering the structure of template micelle during the evaporation-induced self-assembly (EISA) process, the strategy led to the preparation of the NiO–Al2O3 catalysts with varying porous structure while keep other properties almost identical, which allowed us to individually analyse how the catalytic properties of the catalysts can be influenced by the dispersive and textual properties based on systematic characterizations of the fresh and used catalysts.

2. Experimental

2.1. Catalyst preparation

The mesoporous NiO–Al2O3 catalysts were prepared via one-pot EISA process following similar method reported by Yuan.32

Typically, 1.0 g of Pluronic P123 (EO20PO70EO20, Sigma-Aldrich) was dissolved in 20 mL of anhydrous ethanol (J&K scientific Ltd.) at room temperature with vigorous stirring for 2 h, followed by addition of x mL of 67 wt% nitric acid (x = 0.4, 0.8, 1.6 and 3.2) and stirred for another 2 h. Then 9.5 mmol of aluminum iso-propoxide (98+%, Sigma-Aldrich) and 0.5 mmol nickel nitrate hexahydrate (AR, Sigma-Aldrich) were added into the above solution, the obtained precursor solution was covered with a PE film, stirred for ca. 5 h at room temperature, and then put into a drying oven pre-heated at 60 °C to slowly evaporate the solvent. After 48 h, the solution became a light-green dried gel, which was submitted to calcination in air by slowly increasing temperature with a ramping rate of 1 °C min−1 from room temperature to 800 °C and maintained at the final temperature for 5 h. The as-prepared mesoporous catalysts were then crushed and sieved, pellets of 20–40 meshes were collected and used in the CRM reaction. The mesoporous catalysts were denoted as NA-Hx (x = 4, 8, 16 and 32, indicating the amounts of HNO3 added in the precursor solution are 0.4, 0.8, 1.6 and 3.2 mL, respectively) in the following text. According to elementary analysis using a Thermo iCAP6300 instrument, the Ni contents in all the prepared catalysts are around 5 wt% (4.96, 5.10, 5.01 and 5.26% for NA-H4, NA-H8, NA-H16 and NA-H32, respectively).

2.2. Catalyst characterization

Low temperature N2 physisorption was carried out using a Micromeritics ASAP-2000 instrument. Prior to any tests, the catalysts were degassed at 200 °C overnight. Surface areas and the pore distribution were calculated using the Brunauer–Emmett–Teller (BET) and Barrett–Joyner–Halenda (BJH) method, respectively.

X-ray diffraction (XRD) patterns were recorded on a Bruker D8-advance diffractometer with Cu Kα radiation (0.15418 nm) at room temperature from 10° to 80° (wide-angle) and 0.5° to 5° (small-angle). Measurements were conducted using a voltage of 40 kV, step size of 0.02° and current setting of 40 mA.

Transmission electron microscopy (TEM) images and energy-dispersive X-ray spectroscopy (EDX) measurements were carried out on a JEOL JEM-2100F under a working voltage of 200 kV.

H2-temperature program reduction (H2-TPR) was performed in a home-made apparatus. 50 mg catalyst was loaded and heated in an U-tube quartz reactor under Ar flow from room temperature to 500 °C to remove any physically adsorbed CO2 and moisture, the temperature was then cooled down to room temperature and a 5 vol% H2–Ar mixture was fed with a flow rate of 50 mL min−1. The reduction process was started from room temperature to 1000 °C at a heating rate of 10 °C min−1, a TCD was used to detect the consumption of H2.

X-ray photoelectron spectroscopy (XPS) measurements were performed by a Kratos XSAM800 spectrometer with Al Kα radiation (12 kV × 15 mA, = 1486.6 eV) under ultrahigh vacuum (10−7 Pa). The binding energies were calibrated internally by adventitious carbon deposit C (1s) with Eb = 284.6 eV (accuracy within ±0.1 eV).

TGA of the used catalysts were performed by using a Rigaku TG instrument from room temperature to 1000 °C with the rate of 10 °C min−1 under an air atmosphere (30 mL min−1).

2.3. Catalyst evaluation

CRM was performed in a vertical quartz tube fixed-bed flow reactor (i.d. 6 mm) at atmospheric pressure, 700 °C, and a gas hourly space velocity (GHSV) of 48 L g−1 h−1 (CH4[thin space (1/6-em)]:[thin space (1/6-em)]CO2 = 1). Topically, 100 mg of catalyst diluted with 300 mg of quartz sand was loaded into the quartz tube and supported by quartz wool. Prior to reaction, the catalyst was reduced at 800 °C with a 25 vol% H2–N2 mixture (80 mL min−1) for 2 h. Before introducing the reaction gases, the catalyst bed was purged with N2 (60 mL min−1) until the reaction temperature was achieved and stabilized. The effluent gases were cooled in a cooling trap to remove any by-produced water, and gaseous products from the reactor were analysed by an online gas chromatograph with a TDX-01 column and a TCD detector.

3. Results and discussion

3.1. NA-Hx catalysts with similar phase structure, Ni–Al interactions and surface chemistry

3.1.1. Wide-angle XRD. Wide-angle XRD (WXRD) was used to analyse the phase structure of the NA-Hx catalysts and the results are showed in Fig. 1. Three peaks located at ca. 36.9, 45.7, and 66.6° emerged in all the spectrums, which can be related to either γ-Al2O3 (JCPDS card no. 10-0425) or NiAl2O4 spinel (JCPDS card no. 10-0339) as the diffraction peaks of these phases are overlapped. According to previous reports, the NiAl2O4 spinel phase has a higher possibility to exist owing to the high calcination temperature used in the present study.33–36 Anyway, the low intensity of the peaks indicates that the NiAl2O4 phase in all the samples occurred to be highly amorphous. On the other hand, no diffraction peaks of nickel oxide can be observed, indicating a highly dispersed state of Ni-bearing species thanks to the mesoporous skeleton of the catalysts (see below).
image file: c4ra16313c-f1.tif
Fig. 1 Wide-angle XRD of the calcined NA-Hx catalysts.
3.1.2. H2-TPR. Reducibility of the catalysts and thus the interactions between the Ni- and Al-containing species were characterized by H2-TPR as showed in Fig. 2. For all the samples, only a peak at ca. 840–880 °C can be observed, which is indicative for the occurrence of strong interactions between Ni- and Al-containing species. The results are expectable since the formation of NiAl2O4 spinel has been confirmed by the WXRD analysis (Section 3.1.1). No H2-consumption was observed at temperatures low than 400 °C, suggesting that the amount of free NiO with little NiO–Al2O3 interactions is negligible. The similar patterns observed from the curves in Fig. 2 evidenced the chemical properties of all the samples are literally identical, most probably due to the similar chemical processes (sol-formation, gelation, etc.) during the preparation of the samples.
image file: c4ra16313c-f2.tif
Fig. 2 H2-TPR profiles of the NA-Hx catalysts.
3.1.3. XPS. The surface chemistry of the samples was further characterized by means of XPS, the obtained Ni2p spectres are showed in Fig. 3. For all the samples, a peak centred around 856.2 eV can be seen together with a shake-up satellite peak at 862.0 eV. These are the typical signals for the NiAl2O4 spinel according to Ng and others.37–39 Since the Ni2p peak for pure NiO is located at 853.6 eV,39 therefore it is obvious that most of the Ni species in the as-prepared catalysts exists in the form of NiAl2O4 spinel, this conclusion is in accordance with those found by WXRD and H2-TPR, which verifies again that the chemical properties among the NA-Hx catalysts are fairly similar.
image file: c4ra16313c-f3.tif
Fig. 3 XPS profiles of the calcined NA-Hx catalysts.

3.2. Textural properties and morphologies of the NA-Hx catalysts

3.2.1. N2 adsorption–desorption. The specific surface area, pore volume and average pore diameter of the NA-Hx catalysts were measured by low temperature N2 physisorption, and the results are summarized in Table 1. Substantially developed porous structures are observed for all the catalysts although they were submitted to high temperature calcination (800 °C). With the increase of HNO3 used during the preparation, both the BET surface area and pore volume increased and reached a maximum for the NA-H8 catalyst (312 m2 g−1 and 0.55 cm3 g−1, respectively), further increasing the amount of HNO3 led to decreased surface areas and pore volumes.
Table 1 Textural properties of the calcined and useda NA-Hx catalysts
Catalysts Specific surface area (m2 g−1) Pore volume (cm3 g−1) Average pore diameter (nm)
Calcined Used Calcined Used Calcined Used
a The used catalysts were the catalysts tested under the following conditions for 50 h: 700 °C, 1 atm, CH4[thin space (1/6-em)]:[thin space (1/6-em)]CO2 = 1 and GHSV = 48 L g−1 h−1.
NA-H4 259 221 0.34 0.30 3.5 4.0
NA-H8 312 271 0.55 0.47 4.5 4.8
NA-H16 247 176 0.51 0.39 5.5 6.7
NA-H32 153 150 0.37 0.35 6.6 7.1


The nitrogen adsorption and desorption isotherms of the fresh NA-Hx catalysts are showed in Fig. 4(a). According to the IUPAC classification,40 all catalysts exhibited typical type IV isotherms with H1 shaped hysteresis loops between P/P0 = 0.5–0.8 except for the NA-H32 catalyst, indicating that the structures of the samples possessed facile pore connectivity and relatively high uniformity. In the case of the NA-H32 catalyst however, a type IV isotherm with a H3 shaped hysteresis loops was obtained, suggesting that the NA-H32 catalyst is characterized by slit-like pores formed by the accumulation of plate-like aggregated particles.41


image file: c4ra16313c-f4.tif
Fig. 4 Nitrogen adsorption–desorption isotherms of the (a) calcined and (b) used NA-Hx catalysts.
3.2.2. Small-angle XRD. Small-angle XRD (SXRD) was performed to characterize the porous uniformity of the NA-Hx catalysts as showed in Fig. 5. Apart from the NA-H32 catalyst, all patterns presented a strong peak at ca. 1°, which is attributable to the short-range structural ordering with uniform pore sizes of these samples, among them, NA-H16 catalyst exhibited the strongest peak due to the highest pore uniformity. By contrast, no diffraction peaks can be observed from the patterns for the NA-H32 catalyst, confirming the disordered slit-pore structure as discussed in Section 3.2.1.
image file: c4ra16313c-f5.tif
Fig. 5 Small-angle XRD of as-synthesized NA-Hx catalysts calcined at 800 °C.
3.2.3. TEM. A direct observation of the structural properties of the NA-Hx samples was made by means of TEM, and the obtained TEM pictures are showed in Fig. 6. The samples of NA-H4 (Fig. 6(a)) and NA-H8 (Fig. 6(b)) showed a sponge-like structure, and evenly distributed mesopores with quasi-identical pore diameter can be observed, which might be responsible to the broad SXRD peaks as showed in Fig. 5. For the sample NA-H16 however, highly ordered arrays of cylindrical pores along [110] direction and hexagonal arrangement of pores along [001] direction were obtained (Fig. 6(c)). Further increasing the HNO3 amount during preparation, a structure composed with the disordered aggregates can be seen for the sample NA-H32. Combined with BET and SXRD analysis, it is reasonable to assume that disordered slit-like pores were formed for the sample NA-H32. Nevertheless, it is difficult to locate any Ni species from the meso-structures for all the catalysts, however, EDX measurements indicated exclusive peaks for Ni, O and Al (not shown), implying that Ni was successfully introduced, these results verifies again that during the EISA process and subsequent calcination, the precursors converted into a NiO–Al2O3 mixed-oxide, most likely in the form of NiAl2O4 spinel, and thus evenly distributed morphologies are observed.
image file: c4ra16313c-f6.tif
Fig. 6 TEM images of the calcined (a) NA-H4, (b) NA-H8, (c) NA-H16 and (d) NA-H32 catalysts.

The TEM images of the NA-Hx samples after reduction are presented in Fig. 7, it can be seen that despite the features of the meso-structures were almost remain unchanged (e.g. sponge-like and well-ordered frameworks for NA-H8 and NA-H16, respectively), Ni particles emerged for all the catalysts owing to the partial reduction of Ni species in the NiAl2O4 spinel. It seems that the framework morphology of the samples had a significant influence on the obtained Ni particles, from the particle size distribution (inserts in Fig. 7), it can be found that with the increasing amount of HNO3 used during preparation, the average size of the obtained Ni particles decreased from 17.2 nm for NA-H4 to 10.1 nm for NA-H32. More interestingly, the percentage of particles with sizes ±1.5 nm to the peak value of the distribution curves (insert of Fig. 7) can be calculated to be 32.0, 42.3, 66.7 and 58.3% for NA-H4, NA-H8, NA-H16 and NA-H32, indicating that sample NA-H16 and NA-H32 showed a narrower particle size distribution as compared with those for NA-H4 and NA-H8. Furthermore, the average pore sizes were smaller than the Ni average sizes for all the NA-Hx catalysts, revealing that metallic Ni is embedded and anchored in the meso-structure of the catalysts during the one-pot EISA process, similar conclusion was also reported in the previous investigations.14,27,30,31,36


image file: c4ra16313c-f7.tif
Fig. 7 TEM images and corresponding Ni particle size distributions for the reduced (a) NA-H4, (b) NA-H8, (c) NA-H16 and (d) NA-H32 catalysts.

Bearing the above characterization results in mind, it is necessary to have detailed summary and discussion on the effects of HNO3 on the formation of different meso-structures of the current NA-Hx samples. It has been demonstrated by Yuan et al. that during an EISA process, many factors such as acidity, proportions of precursors, volatilization of the solvents, amount of water and others will substantially influence the formation of the meso-structures.32 In the present study, different amount of HNO3 was used when preparing the precursor solutions while all other factors/conditions were maintained constantly, since the NO3− anion can hardly coordinate with Al3+ in aqueous environment, it is believable that the different meso-structures can be attributed exclusively to the difference in H+ and H2O concentrations of the precursor solutions.

Basically, an important step during the hydrolysis of aluminum iso-propoxide is substitution of protonlized iso-propoxy groups by a H2O molecule, this is to say that in the process, H+ and H2O act as catalyst and reactant, respectively. Based on this, it is expectable that the hydrolysis during the preparation of NA-H4 and NA-H8 was relatively slow, and thus there is a longer time for the diffusion and gathering of Ni2+ (similar to Ostwald ripening) before the gel framework became more rigid, so that larger Ni-bearing domains were formed which further led to the formation of larger Ni particles after reduction (Fig. 7(a) and (b)). On the other hand, Ni particles obtained on NA-H16 and NA-H32 were smaller since smaller Ni2+ ion clusters were “anchored” in the gel framework and lost their mobility when extra HNO3 was used during the gelation as indicated in Fig. 7(c) and (d).

In fact, the role of H2O during the gelation is more than a reactant. According to Soler-Illia et al., H2O will also affect the formation of micelles by folding the template molecule via enhancing the solubility difference between the PEO and PPO blocks in the template molecule, and the structure of the obtained micelles can thus been influenced significantly.42 When the H2O content in the system is low, the template molecule is more likely to adopt a “vermicular” structure, and the gel particles are condensed along the “curling template chain” leading to the formation of the sponge-like mesoporous structure as observed in the sample NA-H4 and NA-H8 (Fig. 6(a) and (b)). The lack of long-range ordering of the meso-structures owing to the inadequate folding of the template was also reported previously.43 With the increasing of H2O content, formation of rod-like micelles and their subsequent assembly to highly ordered hexagonal liquid crystal phase can be achieved, and thus the resulted NA-H16 sample showed periodical arrays of mesopores (Fig. 6(c)). As for the sample NA-H32, the template molecule is over-folded causing the formation of ill-structured gels, making the final catalyst a disordered structure (Fig. 6(d)). Similar observations were also reported by Niesz et al.44

3.3. Catalytic performance of the NA-Hx catalysts in CRM

Dry reforming was carried out over the NA-Hx catalysts at atmospheric pressure and 700 °C with a gas hourly space velocity of 48 L g−1 h−1 for 50 h and the obtained results are presented in Fig. 8 and Table 2. As can be seen, the performance of the catalysts in terms of activity and stability were improved substantially with the increase of the x value, namely higher amount of HNO3 used in the preparation resulted in a higher catalytic performance. For example the NA-H32 catalyst exhibited a CH4 conversion of ca. 70%, which is close to the equilibrium conversion (73%, as calculated via HSC Chemistry software, not shown here.) at the reaction conditions with negligible deactivation during 50 h reaction. In contrast, decay of CH4 conversion can be observed over the samples with a smaller x value, especially for the NA-H4 sample, which showed an average deactivation rate of 0.1750% h−1 as compared with 0.0068% h−1 for the NA-H32 catalyst.
image file: c4ra16313c-f8.tif
Fig. 8 Long-term stability tests over the NA-Hx catalysts for 50 h, reaction conditions: 700 °C, 1 atm, CH4[thin space (1/6-em)]:[thin space (1/6-em)]CO2 = 1, 48 L g−1 h−1.
Table 2 Deactivation rate and carbon deposition of the useda NA-Hx catalysts
Catalysts Deactivation ratea (% h−1) Carbon deposition (gc gcat−1) Average carbon deposition rate (mgc gcat−1 h−1)
a Deactivation rate = (CH4 conversion1h − CH4 conversion50h)/49. Reforming reaction: 700 °C, 1 atm, CH4[thin space (1/6-em)]:[thin space (1/6-em)]CO2 = 1, GHSV = 48 L g−1 h−1 and 50 h.
NA-H4 0.1750 0.500 10.00
NA-H8 0.0386 0.223 4.46
NA-H16 0.0238 0.188 3.76
NA-H32 0.0068 0.129 2.58


3.4. Characterization of the used catalysts

Since the phase structures and interactions between the components among the NA-Hx samples are fairly similar (Section 3.1), it is thus reasonable to attribute their different catalytic performance to the significantly varied dispersion and texture properties. In this section, the used catalysts were characterized and the results, together with those obtained earlier on the fresh catalyst, were used to clarify the key factors in determining the promising performance of the NA-H32 catalyst.

Fig. 9 shows the WXRD patterns of the reduced and used catalysts. As presented in Fig. 9(a), there were no diffraction peaks of metallic Ni for the reduced NA-Hx catalysts, suggesting that metallic Ni is amorphous and/or highly dispersed over the catalysts. For the used catalysts, highly broadened curves similar to their reduced counterparts were obtained indicating that sintering of the mesoporous framework is negligible. In line with the results from Fig. 7, peaks corresponding to metallic Ni can be seen at ca. 44.5° and 51.8° owing to the partial reduction of the NiAl2O4 spinel, however, the intensity of the peaks are too low to determine the particle sizes. Compared with WXRD patterns of the reduced NA-Hx catalysts, the diffraction peaks of the metallic Ni appeared for the used NA-Hx catalysts, suggesting that slightly sintering of Ni species occurred during the reforming reaction. This can be confirmed by TEM as showed Fig. 10, where Ni particles exist with average sizes ranging from 11.6 to 21.8 nm, slightly higher than those observed for the reduced catalysts (Fig. 7).


image file: c4ra16313c-f9.tif
Fig. 9 Wide-angle XRD of the (a) reduced and (b) used NA-Hx catalysts.

image file: c4ra16313c-f10.tif
Fig. 10 TEM images and corresponding Ni particle size distributions for the used (a) NA-H4, (b) NA-H8, (c) NA-H16 and (d) NA-H32 catalysts.

As has been well established in the open literatures, sintering of Ni particles represents an important factor leading to deactivation of reforming catalysts.9,10,17 In the present case however, the growth of Ni particles observed by TEM may not necessarily be accounted as “sintering” since the increasing of particle sizes is limited as compared with catalysts prepared by impregnation,45,46 and more importantly, it has been demonstrated54–56 that for catalysts prepared via one-step methods (such as co-precipitation or sol–gel), some nano-sized Ni domains are highly active and thus occurs to be the major catalytic sites rather than those larger ones as observed in Fig. 10.

In addition to sintering, carbon formation is another reason that may induce catalyst deactivation. To have a quantified measurement of the formed carbon on the used NA-Hx catalysts, TGA of the used catalysts was carried out in an air atmosphere as showed in Fig. 11. Based on the weight losing curves, amounts of carbon formation and their average formation rate could be calculated as listed in Table 2. It is obvious that the deactivation rate of the NA-Hx catalysts is in accordance with the average carbon formation rate, e.g. sample NA-H32 with the highest stability showed the lowest carbon formation rate of 2.58 mgc gcat−1 h−1, this is strong evidence that deactivation of the catalysts can mainly be attributed to the formation of carbon species. Meanwhile, decreasing of textural properties can be observed for the used NA-H4, NA-H8 and NA-H16 owing to the blockage of the pores by the formed carbon (Fig. 4 and Table 1). On the other hand, the BET surface area and pore volume for the used NA-H32 is almost the same as compared with fresh NA-H32 thanks to the lower amount of the formed carbon.


image file: c4ra16313c-f11.tif
Fig. 11 TGA curves of 50 h stability tested catalysts.

In addition, a general trend that can be summarized from Table 2 and Fig. 10 is that faster carbon formation is observed on catalysts with larger Ni particles as has already been reported extensively.16,47,48 For example, Tao et al. reported that a Ni–Ce0.8Zr0.2O2 catalyst prepared by a sol–gel auto-combustion method showed enhanced stability owing to the smaller Ni crystalline size, while catalyst derived from co-precipitation (with larger Ni particles) suffered from higher amount of carbon deposition.57 In the present case however, it is very interesting to have a comparison between the coking behaviour of NA-H16 and NA-H32, as indicated from Fig. 7, these samples exhibited similar Ni particle sizes, but the carbon formation rate varied significantly and thus leading to an obvious difference in terms of deactivation rate (Table 2). According to the above characterization of both the fresh and used NA-H16 and NA-H32, the major difference between these two samples is the pore geometry, namely NA-H16 featured highly ordered arrays of mesopores while NA-H32 is characterized by a disordered slit-like mesoporous structure, since all these features were retained in the used catalysts, it can be concluded that carbon formation on the NA-H32 was inhibited due to its unique disordered slit-like pores. One possible explanation to the observed effect of pore geometry on the carbon formation can be given based on similar assumptions reported by Bao and others,49–51 who demonstrated that due to the curvature of the walls of carbon nanotubes (CNTs), the π electrons may shift from the concave inner to the convex outer surface, leading to the formation of an electric potential difference. As for the current NA-H16 and NA-H32 samples, we believe that the difference in electric field owing to the surface curvature may not as obvious as in the CNTs owing to the lower conductivity, however, even minor localized distribution of electrons (negatively charged) will alter the chemical activity of oxygen-related sites (lattice oxygen atoms and/or oxygen vacancies), and thus the elimination of the formed carbon deposits can be influenced,52,53 we are currently carrying out detailed investigations on the reasoning of this observation.

Recently, several groups have reported that CRM catalysts with an ordered mesoporous structure showed important advantages on activity and stability over disordered ones.27–29 However, we showed here that in the EISA precursor solution, when the template molecule was over-folded and extra H+ was introduced to accelerate the hydrolysis process, the obtained NA-H32 sample with a highly disordered structure over-performed the ordered mesoporous NA-H16. Moreover, non-promoted NiO–Al2O3 systems have rarely been reported to show a stable performance as was observed on the present NA-H32 sample, e.g. according to McFarlane and co-worker, substantial decay of H2 production during CRM was observed on an impregnated Ni/Al2O3 catalyst,58 therefore we believe that the current result is actually fairly encouraging, and holds the possibility of using the cheap and widely available NiO–Al2O3 based catalysts for practical reforming processes.

4. Conclusions

In summary, a series of NiO–Al2O3 catalysts were prepared and used as model catalysts in CO2 reforming of methane. It was found that the dispersion of Ni-bearing species and pore geometry of the catalysts influenced significantly the catalytic behaviour, and the sample NA-H32 exhibited excellent activity and stability, the high amount of HNO3 used for the preparation of this catalyst accelerated the hydrolysis of the precursors, therefore small Ni-bearing clusters had little chance to gather and grow into larger domains before the gel structure became rigid, leading to the formation of small Ni particles in the reduced catalyst. Furthermore, the high concentration of H2O in the precursor solution enhanced the bending of the template molecule, making the final catalyst a disordered slit-like porous framework, this unique structure can not only stabilize the nano-sized Ni particles, but also renders the catalysts a high capability to avoid carbon formation. Consequently, the NA-H32 catalyst exhibited an excellent performance in CO2 reforming of methane, which even out-performed sample NA-H16 with an ordered cylindrical mesopores, such a stable NiO–Al2O3 catalyst has rarely reported before, we believe the present findings are important as they demonstrated the possibility of using the cost-effective NiO–Al2O3 system for practical CRM applications.

Acknowledgements

The authors wish to acknowledge the financial support from the National Natural Science Foundation of China (21203230), the National Basic Research Program of China (2011CB201405), the Key Science and Technology Program of Shanxi Province, China (MD2014-10).

Notes and references

  1. J. J. Spivey and G. Hutchings, Chem. Soc. Rev., 2014, 43, 792 RSC.
  2. H. F. Abbas and W. M. A. W. Daud, Int. J. Hydrogen Energy, 2010, 35, 1160 CrossRef CAS PubMed.
  3. D. Pakhare and J. Spivey, Chem. Soc. Rev., 2014, 43, 7813 RSC.
  4. M. Aresta and A. Dibenedetto, Dalton Trans., 2007, 2975 RSC.
  5. C. Song, Catal. Today, 2006, 115, 2 CrossRef CAS PubMed.
  6. S. Perathoner and G. Centi, ChemSusChem, 2014, 7, 1274 CrossRef CAS PubMed.
  7. J. Ma, N. Sun, X. Zhang, N. Zhao, F. Xiao, W. Wei and Y. Sun, Catal. Today, 2009, 148, 221 CrossRef CAS PubMed.
  8. A. T. Ashcroft, A. K. Cheetham, M. L. H. Green and P. D. F. Vernon, Nature, 1991, 352, 225 CrossRef CAS.
  9. Y. H. Hu and E. Ruckenstein, Adv. Catal., 2004, 48, 297 CAS.
  10. M. C. J. Bradford and M. A. Vannice, Catal. Rev.: Sci. Eng., 1999, 41, 1 CAS.
  11. J. Zhang, H. Wang and A. Dalai, J. Catal., 2007, 249, 300 CrossRef CAS PubMed.
  12. M. C. J. Bradford and M. A. Vannice, J. Catal., 1998, 173, 157 CrossRef CAS.
  13. J. R. Rostrup-Nielsen and J.-H. B. Hansen, J. Catal., 1993, 144, 38 CrossRef CAS.
  14. L. Xu, H. Song and L. Chou, Catal. Sci. Technol., 2011, 1, 1032 CAS.
  15. N. Sun, X. Wen, F. Wang, W. Peng, N. Zhao, F. Xiao, W. Wei, Y. Sun and J. Kang, Appl. Surf. Sci., 2011, 257, 9169 CrossRef CAS PubMed.
  16. J. H. Kim, D. J. Suh, T. J. Park and K. L. Kim, Appl. Catal., A, 2000, 197, 191 CrossRef CAS.
  17. Y. H. Hu, Catal. Today, 2009, 148, 206 CrossRef CAS PubMed.
  18. Y. H. Hu and E. Ruckenstein, Catal. Rev.: Sci. Eng., 2002, 44, 423 CAS.
  19. Y. H. Hu and E. Ruckenstein, Catal. Lett., 1996, 36, 145 CrossRef CAS.
  20. E. Ruckenstein and Y. H. Hu, Appl. Catal., A, 1997, 154, 185 CrossRef CAS.
  21. Y. H. Hu and E. Ruckenstein, Catal. Lett., 1997, 43, 71 CrossRef CAS.
  22. Z. Li, L. Mo, Y. Kathiraser and S. Kawi, ACS Catal., 2014, 4, 1526 CrossRef CAS.
  23. T. Wu, W. Cai, P. Zhang, X. Song and L. Gao, RSC Adv., 2013, 3, 23976 RSC.
  24. T. Odedairo, W. Zhou, J. Chen and Z. Zhu, RSC Adv., 2014, 4, 21306 RSC.
  25. S. E. Evans, O. J. Good, J. Z. Staniforth, R. M. Ormerod and R. J. Darton, RSC Adv., 2014, 4, 30816 RSC.
  26. G. S. Gallego, F. Mondragón, J. Barrault, J. M. Tatibouët and C. B. Dupeyrat, Appl. Catal., A, 2006, 311, 164 CrossRef CAS PubMed.
  27. L. Xu, H. Song and L. Chou, Appl. Catal., B, 2011, 108–109, 177 CrossRef CAS PubMed.
  28. N. Wang, Z. Xu, J. Deng, K. Shen, X. Yu, W. Qian, W. Chu and F. Wei, ChemCatChem, 2014, 6, 1 CrossRef PubMed.
  29. S. Zhang, S. Muratsugu, N. Ishiguro and M. Tada, ACS Catal., 2013, 3, 1855 CrossRef CAS.
  30. L. Xu, H. Song and L. Chou, ACS Catal., 2012, 2, 1331 CrossRef CAS.
  31. N. Wang, K. Shen, L. Huang, X. Yu, W. Qian and W. Chu, ACS Catal., 2013, 3, 1638 CrossRef CAS.
  32. Q. Yuan, A. X. Yin, C. Luo, L. D. Sun, Y. W. Zhang, W. T. Duan, H. C. Liu and C. H. Yan, J. Am. Chem. Soc., 2008, 130, 3465 CrossRef CAS PubMed.
  33. J. M. Rynkowski, T. Paryjczak and M. Lenik, Appl. Catal., A, 1993, 106, 73 CrossRef CAS.
  34. N. Sahli, C. Petit, A. C. Roger, A. Kiennemann, S. Libs and M. M. Bettahar, Catal. Today, 2006, 113, 187 CrossRef CAS PubMed.
  35. S. M. Morris, P. F. Fulvio and M. Jaroniec, J. Am. Chem. Soc., 2008, 130, 15210 CrossRef CAS PubMed.
  36. Q. Zhang, T. Wu, P. Zhang, R. Qi, R. Huang, X. Song and L. Gao, RSC Adv., 2014, 4, 51184 RSC.
  37. K. T. Ng and D. M. Hercules, J. Phys. Chem., 1976, 80, 2094 CrossRef CAS.
  38. G. R. Gavalas, C. Phichitkul and G. E. Voecks, J. Catal., 1984, 88, 54 CrossRef CAS.
  39. Y. S. Oh, H. S. Roh, K. W. Jun and Y. S. Baek, Int. J. Hydrogen Energy, 2003, 28, 1387 CrossRef CAS.
  40. K. S. W. Sing, D. H. Everett, R. A. W. Haul, L. Moscou, R. A. Pierotti, J. Rouquérol and T. Siemieniewska, Pure Appl. Chem., 1985, 57, 603 CrossRef CAS.
  41. M. Kruk and M. Jaroniec, Chem. Mater., 2001, 13, 3169 CrossRef CAS.
  42. G. J. d. A. A. Soler-Illia and C. Sanchez, New J. Chem., 2000, 24, 493 RSC.
  43. G. J. d. A. A. Soler-Illia, E. Scolan, A. Louis, P. A. Albouy and C. Sanchez, New J. Chem., 2001, 25, 156 RSC.
  44. K. Niesz, P. Yang and G. A. Somorjai, Chem. Commun., 2005, 1986 RSC.
  45. C. Wang, N. Sun, N. Zhao, W. Wei, J. Zhang, T. Zhao, Y. Sun, C. Sun, H. Liu and C. E. Snape, ChemCatChem, 2014, 6, 640 CrossRef CAS.
  46. C. Wang, N. Sun, M. Kang, X. Wen, N. Zhao, F. Xiao, W. Wei, T. Zhao and Y. Sun, Catal. Sci. Technol., 2013, 3, 2435 CAS.
  47. V. C. H. Kroll, H. W. Swann and C. Mirodatos, J. Catal., 1996, 161, 409 CrossRef CAS.
  48. S. Tang, L. Ji, J. Lin, H. C. Zeng, K. L. Tan and K. Li, J. Catal., 2000, 194, 424 CrossRef CAS.
  49. W. Chen, Z. Fan, X. Pan and X. Bao, J. Am. Chem. Soc., 2008, 130, 9414 CrossRef CAS PubMed.
  50. A. Tavasoli, M. Trépanier, A. K. Dalai and N. Abatzoglou, J. Chem. Eng. Data, 2010, 55, 2757 CrossRef CAS.
  51. X. Pan and X. Bao, Acc. Chem. Res., 2011, 44, 553 CrossRef CAS PubMed.
  52. M. García-Diéguez, I. S. Pieta, M. C. Herrera, M. A. Larrubia and L. J. Alemany, J. Catal., 2010, 270, 136 CrossRef PubMed.
  53. W. Wang, S. M. Stagg-Williams, F. B. Noronha, L. V. Mattos and F. B. Passos, Catal. Today, 2004, 98, 553 CrossRef CAS PubMed.
  54. R. Pereniguez, V. M. Gonzalez-delaCruz, A. Caballero and J. P. Holgado, Appl. Catal., B, 2012, 123, 324 CrossRef PubMed.
  55. M. Nurunnabi, Y. Mukainakano, S. Kado, B. Li, K. Kunimori, K. Suzuki, K. Fujimoto and K. Tomishige, Appl. Catal., A, 2006, 299, 145 CrossRef CAS PubMed.
  56. M. Nurunnabi, K. Fujimoto, K. Suzuki, B. Li, S. Kado, K. Kunimori and K. Tomishige, Catal. Commun., 2006, 7, 73 CrossRef CAS PubMed.
  57. K. Tao, S. Zhou, Q. Zhang, C. Kong, Q. Ma, N. Tsubaki and L. Chen, RSC Adv., 2013, 3, 22285 RSC.
  58. A. R. McFarlane, I. P. Silverwood, R. Warringham, E. L. Norris, R. M. Ormerod, C. D. Frost, S. F. Parker and D. Lennon, RSC Adv., 2013, 3, 16577 RSC.

This journal is © The Royal Society of Chemistry 2015
Click here to see how this site uses Cookies. View our privacy policy here.