Unbounding the Future: Designing NiAl‐Based Catalysts for Dry Reforming of Methane DOI

Wenzheng Zhang,

Huahua Zhao, Huanling Song

et al.

Chemistry - An Asian Journal, Journal Year: 2024, Volume and Issue: 19(17)

Published: June 6, 2024

Dry reforming of methane (DRM), the catalytic conversion CH

Language: Английский

Hydrothermally synthesized tremella-like monometallic Ni/SiO2 for effective and stable dry reforming of methane (DRM) to syngas DOI
Liwei Chen, Kim Hoong Ng

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 183, P. 244 - 259

Published: Jan. 5, 2024

Language: Английский

Citations

13
Modulating surface properties of Al2O3 based on AACH for stable Ni-based dry reforming of methane catalysts DOI

Da Hae Lee,

Yun Ha Song,

Sejin Jang

et al.

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: 13(2), P. 115407 - 115407

Published: Jan. 11, 2025

Language: Английский

Citations

1
Insight into the Nature of Nickel Active Sites on the NiAl2O4 Catalyst for Phenanthrene Hydrogenation Saturation DOI Creative Commons

Tian Tao,

Zemin Zhao,

Yu Zhang

et al.

ACS Omega, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Hydrogenation saturation of phenanthrene (a typical component coal tar) could not only improve the combustion performance fuel oil, but also obtain raw material for preparing high-energy-density fuel. Nickel-based catalysts have been considered promising hydrogenation due to their appealing capacity activate molecules. However, Ni derivation precursor greatly affects its activity. In this work, NiAl2O4 catalyst was obtained by sol-gel method. Under experimental conditions temperature 300 °C, pressure 5 MPa, and WHSV 0.52 h-1, conversion over can be up 99.7 93.9% perhydrophenanthrene yield, while those traditional Ni/Al2O3 are just 96.8 77.3%, respectively. Moreover, TOF (3.01 × 10-3 s-1) surpasses that (2.46 s-1), which indicates derived from has stronger According relevant characterizations, superior derives H2 adsorption dissociation ability formation an electron-deficient structure active metal Ni, contributes improved activation polycyclic aromatic hydrocarbons.

Language: Английский

Citations

1
Enhanced CO2 conversion with CH4 for greenfuel generation using coke-neutral nickel-loaded fibrous silica titania catalysts DOI

M. Alhassan,

Aishah Abdul Jalil,

Abdelrahman Hamad Khalifa Owgi

et al.

Process Safety and Environmental Protection, Journal Year: 2024, Volume and Issue: 187, P. 845 - 863

Published: May 6, 2024

Language: Английский

Citations

5
Enhanced syngas production from CO2 reforming of biomass-derived glycerol: Influence of CaO.Al2O3 support composition on the catalytic performance of Ni-based catalysts DOI

Zahra Pirzadi,

Fereshteh Meshkani,

Dai‐Viet N. Vo

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 311, P. 118227 - 118227

Published: May 8, 2024

Language: Английский

Citations

5
Stabilizing Ni on honeycomb-structural Al2O3 with enhanced coke tolerance for dry reforming of methane DOI
Yuhao Luo, Tongming Su, Peng Song

et al.

Molecular Catalysis, Journal Year: 2024, Volume and Issue: 562, P. 114226 - 114226

Published: May 17, 2024

Language: Английский

Citations

5
Enhanced predictive optimization of methane dry reforming via ResponseSurface methodology and artificial neural network approaches: Insights using a novel nickel-strontium-zirconium-aluminum catalyst DOI Creative Commons
Tahani S. Gendy, Radwa A. El‐Salamony, Maher M. Alrashed

et al.

Molecular Catalysis, Journal Year: 2024, Volume and Issue: 562, P. 114216 - 114216

Published: May 13, 2024

This study investigates the molecular dynamics of methane dry reforming catalyzed by a novel nickel-strontium-zirconium-aluminum (5Ni+3Sr/10Zr+Al) catalyst, leveraging both Response Surface Methodology (RSM) and Radial Basis Function Neural Network (RBFNN) for predictive optimization. Focusing on impact operational parameters—hourly space velocity, reaction temperature, CO2:CH4 mole ratio—on conversion rates formation components, we aim to predict optimal conditions corresponding process variables. Through comparison three-layer Feed Forward Network, optimized at 3:10:1 topology, with traditional RSM approaches, our findings highlight superior capabilities ANN models. Notably, demonstrated exceptional performance Radj2and F_Ratio values significantly surpass those RSM, alongside lower statistical error terms. superiority is attributed ANN's robust handling nonlinear relationships between inputs outputs, asserting its potential enhancing accuracy in chemical At optimum predicted like 1 CH4/CO2,750 °C 12000 cm3g−1h−1 NiSrZrAl outperformed > 85 % CH4 CO2 H2/CO ∼1 up 20 h time stream. Our research underscores importance integrating advanced modeling techniques efficient accurate prediction catalytic reactions, offering valuable insights future applications engineering catalysis.

Language: Английский

Citations

4
Advances in synthesis and application of cobalt and nickel-based nanomaterials for catalytic reforming of hydrocarbons and oxygenates to hydrogen-rich syngas DOI

Alyaa K. Mageed,

May Ali Alsaffar,

Mohamed Abdel Rahman Abdel Ghany

et al.

Journal of Industrial and Engineering Chemistry, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

Language: Английский

Citations

4
One-pot Ni-ZSM-5 catalysts for hydrogen production from the dry reforming of methane DOI

Fredy Ordoñez Ramos,

Karim Sapag,

John F. Múnera

et al.

Molecular Catalysis, Journal Year: 2025, Volume and Issue: 577, P. 114963 - 114963

Published: March 3, 2025

Language: Английский

Citations

0
Recent progress in catalysts development of dry reforming of methane process: Review of active phases and supports of catalyst DOI

Arman Sharifnattaj,

Seyedmohammad Ghaziasgar,

Yahya Bahadori

et al.

Molecular Catalysis, Journal Year: 2025, Volume and Issue: 582, P. 115060 - 115060

Published: May 1, 2025

Language: Английский

Citations

0