Kinetic studies of the methanation of CO over a Ni/γ-Al2O3 catalyst using a batch reactor

Lim, Jung Yeon; McGregor, James; Sederman, Andrew J.; Dennis, John S.

doi:10.1016/j.ces.2016.02.001

Cited by 26 publications

(17 citation statements)

References 30 publications

(20 reference statements)

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“…To determine the correlations for the reaction rates, a series of tests were conducted in the temperature range from 453 K to 563 K over the range of H2/CO2 ratios between 0.29 and 8.3. increased with temperature and H2/CO2 ratio, the trends of which are consistent with past studies [59,[83][84][85][86][87]. These experimental data were used to quantify the reaction rates for both reactions (i.e., CO2 methanation and RWGS), and then obtain the correlations by the regression method.…”

Section: Experimental Results On the Reaction Kinetics Of The Ni-mg-wsupporting

confidence: 80%

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Model analysis and catalysts study of CO2 methanation in fluidized bed reactor

Jia¹

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The contributions of the co-authors are as follows: • Prof. Yang Yanhui provided the project direction and revised the manuscript drafts. • Dr. Gao Jiajian helped to obtain the trial version and guided the use of the software CHEMCAD and revised the manuscript draft. • I conducted the calculations, did the gas solid experiments on the fixed bed, prepared the manuscript drafts. • The manuscript was revised by Dr. Dai Yihu and Prof. Zhang Jia. Chapter 3 is accepted as Jia Chunmiao, Dai Yihu, Yang Yanhui, Chew Jia Wei, A fluidized bed modeling study for CO2 methanation using the NiMgW catalyst. Particuology, 2019. In press. The contributions of the co-authors are as follows: • Prof. Chew Jia Wei and Yang Yanhui provided the project direction and revised the manuscript drafts. • The manuscript was written by Jia Chunmiao and revised by other authors. Chapter 4 is accepted as Jia Chunmiao, Dai Yihu, Yang Yanhui, Chew Jia Wei, Nickel cobalt catalyst supported on TiO2-coated SiO2 spheres for CO2 methanation in a fluidized bed.

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Section: Experimental Results On the Reaction Kinetics Of The Ni-mg-wsupporting

confidence: 80%

“…On top of the Ni-Mg-W catalyst of interest whose kinetics was experimentally studied, two others whose kinetics data are available, namely, Ni/Al2O3 and Ni/La2O3 [81,82], were studied.…”

Section: Resultsmentioning

confidence: 99%

Model analysis and catalysts study of CO2 methanation in fluidized bed reactor

Jia¹

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“…Normally, Ni supported on Al 2 O 3 is one of the most widely studied catalysts in methanation reactions for the production of SNG as a result of its lower price, higher catalytic activity, and the better selectivity for the methane product [19][20][21][22][23]. Al 2 O 3 , especially the γ-modification with larger specific surface area and mechanical strength, developed pore structure, and greater acid and alkali…”

Section: Introductionmentioning

confidence: 99%

Screening of Additives to Ni-Based Methanation Catalyst for Enhanced Anti-Sintering Performance

Han

Zhao

et al. 2019

Catalysts

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The resistance to sintering of Ni/Al 2 O 3 catalysts with different additives for methanation reaction was modeled and predicted by data mining. In the screening, the resistance to sintering of Na, Ca, Ce, Mg, La, Cu, Zn, Zr, In, Mo, and Ti promoted Ni/Al 2 O 3 catalyst were measured in terms of the increased rate of the size of the metallic nickel particles. The resistance to sintering of catalysts, described by the increased rate of Ni particle size as well as basic physicochemical properties of the 11 selected elements, was adopted for optimization model construction by data mining. Through regression model prediction and experimental verification, Cs was found to be an additive, and promotes the resistance to sintering mostly for Ni/Al 2 O 3 catalysts. This result provides further evidence that data mining techniques can be employed as a highly efficient tool for the discovery of new catalysts in comparison with the traditional experimental method.Catalysts 2019, 9, 493 2 of 15 resistance on the surface, strongly affects the catalytic performance, which increases activity and stability for methanation [24,25]. However, methanation, as a key step of SNG production, is a highly exothermic reaction. For each 1% CO and each 1% CO 2 , the representative methanation gas component temperature rise in ammonia plants is 74 and 60 • C, separately [26]. In the high-temperature reaction environment, the Ni-based methanation catalyst is prone to sintering, resulting in the accelerated migration and aggregation of the nickel microcrystalline particles, and the decrease of the nickel dispersion and the effective specific surface area [27,28]. Al 2 O 3 support also suffers the disadvantage of poor thermal stability. Thus, the catalytic activity is reduced. Therefore, solving the catalyst sintering problem is the biggest challenge for the methanation process.Many efforts have been devoted to further increasing the performance of resistance to sintering of Ni/Al 2 O 3 catalyst. The sintering rate of the catalyst is related to the size and distribution of the nickel crystallites, the structure, morphology and transition state of the support [26]. Adding additives is one of the most effective means to improve the anti-sintering performance of the catalyst. For example, adding ZrO 2 can sequester NiO and γ-Al 2 O 3 and weaken their interactions, which play the role of limiting the aggregation of γ-Al 2 O 3 [17]. The addition of Rh and Ru was reported to improve the heat stability of nickel loading on alumina [29,30]. Adding La 2 O 3 [1], MgO [31] can form LaAlO 3 and MgAl 2 O 4 surface layers and prevent their activity component Ni 2+ diffused into the Al 2 O 3 bulk phase to form NiAl 2 O 4 , slowing down the catalyst sintering rate. CeO 2 was added to inhibit the migration of Ni atoms on the surface of Al 2 O 3 and improve the dispersion of nickel particles owing to the strong metal-support interaction (SMSI) [32]. Recently, Ma et al [33] and Bao and coworkers [34] reported that encapsulating Ni particles with graphene or hexago...

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“…In this case, intrinsic kinetics study under well-controlled conditions is crucial and inevitable as it provides important information for the understanding of the mechanism of the involved reactions [17] and meanwhile the simulation and choice of reactors [3]. The intrinsic kinetics of single methanation or water gas shift has been intensively studied principally by means of Langmuir-Hinshelwood adsorption equations [18][19][20] and empirical power-law models [21,22]. For methanation reaction, the mechanism used for intrinsic kinetics study consists of the CO direct dissociative mechanism and the hydrogen associative mechanism [23]; while in the case of water gas shift reaction, both regenerative and associative mechanisms are proposed in the intrinsic kinetics investigation [24].…”

Section: Introductionmentioning

confidence: 99%

Intrinsic Kinetics Study of Biogas Methanation Coupling with Water Gas Shift over Re-Promoted Ni Bifunctional Catalysts

et al. 2019

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The intrinsic kinetics of biogas methanation coupling with water gas shift over Re-promoted Ni bifunctional catalysts were investigated in this study. The catalysts were prepared through co-impregnation of Ni and Re precursors on the H2O2-modified manganese sand. The experiments were performed in a fixed bed reactor under the assorted reaction conditions of 300–400 °C, 0.1–0.3 MPa, and a 0.6–1.0 H2/CO ratio. The effect of gas internal and external diffusion on the performance of methanation coupling with water gas shift was examined by changing catalyst particle size and gas hourly space velocity (GHSV) and further verified by the Weisz–Prater and Mears criterion, respectively. It was found that the internal and external diffusions were eliminated when the catalyst particle size was 12–14 meshes and GHSV was 2000 h−1. Three kinetics models including the empirical model (EM), synergetic model (SM), and independent model (IM) were proposed, and 25 sets of experimental data were obtained to solve the model parameters. By mathematical fitting and analysis, it was discovered that the fitting situation of the three kinetics models was in the order of EM > SM > IM, among which EM had the highest fitting degree of 99.7% for CH4 and 99.9% for CO2 with the lowest average relative error of 8.9% for CH4 and 8.7% for CO2. The over 30% of average relative error for CO2 in IM might exclude the possibility of the Langmuir–Hinshelwood water gas shift mechanism in the real steps of biogas methanation coupling with water gas shift over Re-promoted Ni catalysts.

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Kinetic studies of the methanation of CO over a Ni/γ-Al2O3 catalyst using a batch reactor

Cited by 26 publications

References 30 publications

Model analysis and catalysts study of CO2 methanation in fluidized bed reactor

Model analysis and catalysts study of CO2 methanation in fluidized bed reactor

Screening of Additives to Ni-Based Methanation Catalyst for Enhanced Anti-Sintering Performance

Intrinsic Kinetics Study of Biogas Methanation Coupling with Water Gas Shift over Re-Promoted Ni Bifunctional Catalysts

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