Dry reforming of CH  over stabilized Ni-La@KCC-1 catalyst: Effects of La promoter and optimization studies using RSM

Abdul-Rahman, Alias; Jalil, Aishah Abdul; Hamid, M.Y.S.; Siang, Tan Ji; Abdullah, Tuan Amran Tuan

doi:10.1016/j.jcou.2019.12.018

Cited by 48 publications

(14 citation statements)

References 49 publications

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“…The TEM micrograph (Figure D) reveals the presence of dendrimers covering the core of FZSM‐5 support . Literatures reported that core shell morphology was responsible for enhanced catalytic activity due to the confinement of active metal species in the support framework.…”

Section: Resultsmentioning

confidence: 90%

“…A detailed examination reveals diffractograms within peak range of 2θ = 7‐10° and 22‐25°, which is allotted to ZSM‐5 phase (JCPDS file number 37‐359) . In addition, formation of NiO cubic phase around 2θ = 37.28, 43.2 and 62.5, which corresponds to the (111), (200) and (220) reflections were observed for all supported Ni catalysts . All promoted catalysts portrayed different NiO crystallites sizes (see Table ).…”

Section: Resultsmentioning

confidence: 99%

“…A plethora of metals have been considered as promoters for Ni catalysts . Basic metal oxide additives improve CO 2 chemisorption to catalyst surface, which expedites gasification of deposited carbon to form CO (CO 2 + C ⇌ 2CO).…”

Section: Introductionmentioning

confidence: 99%

“…Generation of basic sites on materials could be beneficial to inhibit carbon accumulation, thus ameliorating catalytic activity . The incorporation of rare earth promoters also impedes severe carbon deposition . Similarly, the presence of transition metal in the close vicinity of active Ni sites hinders the diffusion of monoatomic carbon into the Ni particles, which improve the resistance of DRM catalysts .…”

Section: Introductionmentioning

confidence: 99%

“…The incorporation of rare earth promoters also impedes severe carbon deposition . Similarly, the presence of transition metal in the close vicinity of active Ni sites hinders the diffusion of monoatomic carbon into the Ni particles, which improve the resistance of DRM catalysts . Tantalum is a transition metal widely applied in catalysis.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Fibrous spherical Ni‐M/ZSM‐5 (M: Mg, Ca, Ta, Ga) catalysts for methane dry reforming: The interplay between surface acidity‐basicity and coking resistance

et al. 2020

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A highly active and robust fibrous spherical ZSM-5-supported nickel catalyst with different promoters (Mg, Ca, Ta, Ga) have been synthesised by microemulsion method for dry reforming of methane (DRM). The structural framework provided by the unique fibrous spherical ZSM-5 aided confinement of Ni particles. Catalytic activity was improved by homogenous distribution of surface acid-basic sites, thereby reducing the propensity of coke deposition.Bimetallic Ni-Ta catalyst produced the highest CH 4 and CO 2 conversions at 93% and 98%, respectively, with H 2 /CO ratio closer to unity (0.97). The nature of acid sites and bimetallic Ni-Ta synergism amplified interaction of catalyst components, resulting in improved interaction with the reactants, thus impeding metal sintering and coke deposition. Consequently, the Ni-Ta/FZSM-5 catalyst shows long-term activity (80 hours) for the DRM reaction at 800 C. K E Y W O R D Sdry reforming, methane, Ni/ZSM-5, nickel, tantalum

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Section: Resultsmentioning

confidence: 90%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Fibrous spherical Ni‐M/ZSM‐5 (M: Mg, Ca, Ta, Ga) catalysts for methane dry reforming: The interplay between surface acidity‐basicity and coking resistance

et al. 2020

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The Capture and Catalytic Conversion of CO₂ by Dendritic Mesoporous Silica‐Based Nanoparticles

Wang

Huang

et al. 2023

Energy & Environ Materials

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Dendritic mesoporous silica nanoparticles own three‐dimensional center‐radial channels and hierarchical pores, which endows themselves with super‐high specific surface area, extremely large pore volumes, especially accessible internal spaces, and so forth. Dissimilar guest species (such as organic groups or metal nanoparticles) could be readily decorated onto the interfaces of the channels and pores, realizing the functionalization of dendritic mesoporous silica nanoparticles for targeted applications. As adsorbents and catalysts, dendritic mesoporous silica nanoparticles‐based materials have experienced nonignorable development in CO2 capture and catalytic conversion. This comprehensive review provides a critical survey on this pregnant subject, summarizing the designed construction of novel dendritic mesoporous silica nanoparticles‐based materials, the involved chemical reactions (such as CO2 methanation, dry reforming of CH4), the value‐added chemicals from CO2 (such as cyclic carbonates, 2‐oxazolidinones, quinazoline‐2,4(1H,3H)‐diones), and so on. The adsorptive and catalytic performances have been compared with traditional silica mesoporous materials (such as SBA‐15 or MCM‐41), and the corresponding reaction mechanisms have been thoroughly revealed. It is sincerely expected that the in‐depth discussion could give materials scientists certain inspiration to design brand‐new dendritic mesoporous silica nanoparticles‐based materials with superior capabilities towards CO2 capture, utilization, and storage.

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Optimization of hydrogen production via catalytic autothermal reforming of crude glycerol using response surface methodology and artificial neural network

2021

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Summary In this work, the central composite design of the response surface methodology (RSM) and artificial neural network (ANN) were deployed to investigate process variables and optimize hydrogen gas production via autothermal reforming of crude glycerol using 5%Ni/CeZrCa catalyst in a packed bed tubular reactor. The input variables studied are reaction temperature, feed flow rate, steam to carbon ratio (S/C), oxygen to carbon ratio (O/C), and catalyst weight. The neural network analysis of these input variables measured their individual significance and contribution in the autothermal reforming process prior to the development of a quadratic polynomial model with RSM for predicting hydrogen yield as well as optimization. Statistical analyses showed that the mathematical model developed excellently represents the data with high model adequacy and no significant lack of fit. The results of the neural network input variable significance ranking approach showed that the reaction temperature contributed more than any other independent variable at a ranking weight of 53% while the O/C ratio showed the least impact at 3%. The results of the optimization gave the optimum parameters for hydrogen gas yield as follows; Temperature: 650°C, crude glycerol flow rate: 3.3 mmol C/min, S/C: 2.34, O/C: 0.052, and catalyst weight of 0.15 g with a maximum feed conversion of approximately 92% and 97% H2 yield. ANN provided a better regression with excellent statistical test values as follows R2: 0.999, MSE: 10−8, AAD: 0.34%, and RMSE: 3.5 × 10−4%. It is clear from the results of the model adequacy and error calculations that ANN is superior and has shown a better model fit than the RSM.

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Dry reforming of CH over stabilized Ni-La@KCC-1 catalyst: Effects of La promoter and optimization studies using RSM

Cited by 48 publications

References 49 publications

Fibrous spherical Ni‐M/ZSM‐5 (M: Mg, Ca, Ta, Ga) catalysts for methane dry reforming: The interplay between surface acidity‐basicity and coking resistance

Fibrous spherical Ni‐M/ZSM‐5 (M: Mg, Ca, Ta, Ga) catalysts for methane dry reforming: The interplay between surface acidity‐basicity and coking resistance

The Capture and Catalytic Conversion of CO₂ by Dendritic Mesoporous Silica‐Based Nanoparticles

Optimization of hydrogen production via catalytic autothermal reforming of crude glycerol using response surface methodology and artificial neural network

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Dry reforming of CH over stabilized Ni-La@KCC-1 catalyst: Effects of La promoter and optimization studies using RSM

Cited by 48 publications

References 49 publications

Fibrous spherical Ni‐M/ZSM‐5 (M: Mg, Ca, Ta, Ga) catalysts for methane dry reforming: The interplay between surface acidity‐basicity and coking resistance

Fibrous spherical Ni‐M/ZSM‐5 (M: Mg, Ca, Ta, Ga) catalysts for methane dry reforming: The interplay between surface acidity‐basicity and coking resistance

The Capture and Catalytic Conversion of CO2 by Dendritic Mesoporous Silica‐Based Nanoparticles

Optimization of hydrogen production via catalytic autothermal reforming of crude glycerol using response surface methodology and artificial neural network

Contact Info

Product

Resources

About

The Capture and Catalytic Conversion of CO₂ by Dendritic Mesoporous Silica‐Based Nanoparticles