Jan J. Verstraete
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Jan J. Verstraete has a total of 116 co-authors. Here are the top co-authors by number of shared publications:
- Damien Hudebine
IFP Energies nouvelles
7 shared publications - Denis Guillaume
IFP Energies nouvelles, Rond-point de l’échangeur de Solaize, BP 3, 69360 Solaize - France
3 shared publications Didier Espinat
Institut Français du Pétrole (IFP), BP 3, 69360 Solaize, France
3 shared publications- Elsa Jolimaitre
IFP Energies nouvelles, Rond-point de l’échangeur de Solaize, BP 3, 69360 Solaize, France
3 shared publications Emmanuelle Durand
Institut Français du Pétrole (IFP), BP 3, 69360 Solaize, France
3 shared publicationsJean-Marc Lancelin
Université de Lyon, Université Claude Bernard−Lyon 1, Sciences Analytiques, CNRS UMR 5180, Domaine scientifique de la Doua, ESCPE-Lyon, 69622 Villeurbanne, France
3 shared publications
Latest Publications
- 24 June 2024
- Published by American Physical Society (APS) in Physical Review Materials
- Vol. 8 (6) , 063403
Textural properties of dense granular pastes produced by kneading
The efficiency of supported catalysts depends on the porous microstructure of their solid support, which regulates mass transfer, exposure to the active phase, and mechanical strength. Here, we focus on the manufacturing of a specific type of catalytic support, -alumina extrudates, by a kneading-extrusion process. In this process, a paste is initially formed by blending and subsequently kneading a boehmite powder, an aluminum oxide hydroxide precursor of -alumina, with various liquids before undergoing extrusion. The crucial step in this process is the kneading step, which allows control over the textural and mechanical properties of the extrudate. The present experimental study aims to measure the impact of the kneading step on boehmite pastes prepared using a pilot kneader. The pastes are obtained by mixing boehmite powder subsequently with an acid and a basic solution in a two-step process known as peptization and neutralization. In this study, kneading is conducted at various mixing speeds and durations while monitoring the torque exerted by the boehmite paste on the kneader blades. Moreover, samples are extracted from the pilot kneader at various stages of the kneading process, and their textural properties are determined by both nitrogen sorption and mercury intrusion porosimetry. Our findings show that, at fixed composition, the textural properties of boehmite pastes are controlled by the overall deformation accumulated during kneading. Conversely, for a fixed accumulated deformation, the pH sets the textural properties. Finally, we identify an empirical control parameter that captures the combined effects of pH and accumulated deformation on the key textural attributes of boehmite pastes. These results set the stage for a systematic design approach of boehmite-based catalyst supports.- 24 June 2024
- Published by American Physical Society (APS) in Physical Review Materials
- Vol. 8 (6) , 063403
Textural properties of dense granular pastes produced by kneading
The efficiency of supported catalysts depends on the porous microstructure of their solid support, which regulates mass transfer, exposure to the active phase, and mechanical strength. Here, we focus on the manufacturing of a specific type of catalytic support, -alumina extrudates, by a kneading-extrusion process. In this process, a paste is initially formed by blending and subsequently kneading a boehmite powder, an aluminum oxide hydroxide precursor of -alumina, with various liquids before undergoing extrusion. The crucial step in this process is the kneading step, which allows control over the textural and mechanical properties of the extrudate. The present experimental study aims to measure the impact of the kneading step on boehmite pastes prepared using a pilot kneader. The pastes are obtained by mixing boehmite powder subsequently with an acid and a basic solution in a two-step process known as peptization and neutralization. In this study, kneading is conducted at various mixing speeds and durations while monitoring the torque exerted by the boehmite paste on the kneader blades. Moreover, samples are extracted from the pilot kneader at various stages of the kneading process, and their textural properties are determined by both nitrogen sorption and mercury intrusion porosimetry. Our findings show that, at fixed composition, the textural properties of boehmite pastes are controlled by the overall deformation accumulated during kneading. Conversely, for a fixed accumulated deformation, the pH sets the textural properties. Finally, we identify an empirical control parameter that captures the combined effects of pH and accumulated deformation on the key textural attributes of boehmite pastes. These results set the stage for a systematic design approach of boehmite-based catalyst supports.- 22 March 2022
- Published by Wiley in The Canadian Journal of Chemical Engineering
- Vol. 101 (2) , 1068-1082
Modelling textural and mass transfer properties for gamma‐alumina catalysts using randomly generated pore networks
- 22 March 2022
- Published by Wiley in The Canadian Journal of Chemical Engineering
- Vol. 101 (2) , 1068-1082
Modelling textural and mass transfer properties for gamma‐alumina catalysts using randomly generated pore networks
- 16 November 2021
- Published by American Chemical Society (ACS) in Industrial & Engineering Chemistry Research
- Vol. 60 (46) , 16728-16738
Generation of γ-Alumina Digital Twins Using a Nitrogen Porosimetry Simulation
- 16 November 2021
- Published by American Chemical Society (ACS) in Industrial & Engineering Chemistry Research
- Vol. 60 (46) , 16728-16738
Generation of γ-Alumina Digital Twins Using a Nitrogen Porosimetry Simulation
- 1 December 2019
- Published by Elsevier in Chemical Engineering Journal
- Vol. 377, 120144
A Monte Carlo method for the simulating hydrotreating of bio-oil model compounds
- 1 December 2019
- Published by Elsevier in Chemical Engineering Journal
- Vol. 377, 120144
A Monte Carlo method for the simulating hydrotreating of bio-oil model compounds
- 13 August 2018
- Published by Royal Society of Chemistry (RSC) in Catalysis Science & Technology
- Vol. 8 (17) , 4537-4549
Tortuosity and mass transfer limitations in industrial hydrotreating catalysts: effect of particle shape and size distribution
The tortuosity factor of γ-alumina supports and catalysts used in hydrotreating applications was evaluated in the liquid phase with three different techniques: pulse field gradient-NMR (PFG-NMR), inverse liquid chromatography (ILC) and catalytic experiments in a batch reactor. In order to satisfy the specific experimental constraints associated with each technique, tortuosity factors were evaluated in a wide range of operating conditions: temperature was varied from 295 K to 613 K, catalyst particles were used as-synthesized (trilobe extrudates) or crushed, and the liquid composition was either pure toluene, n-heptane/squalane mixtures, or squalane/2,5-bis-(octadecyl)thiophene mixtures. It is demonstrated that not taking into account both the shape factor and the size distribution of the particles can lead to significant errors in the tortuosity factor. For both parameters, the optimal mean spherical radius depends on the contribution of internal diffusion to the overall performance. When internal diffusion is the limiting step, a new expression for the mean radius of the distributed particle is proposed and validated by comparison between ILC and PFG-NMR results. This expression is transposable to any catalytic system, making it possible to measure the tortuosity factors using either microscopic or macroscopic methodologies. Moreover, the tortuosity factors obtained with ILC and NMR are in good agreement with the one estimated from the catalytic experiments, showing that mass transfer parameters can be extrapolated from non-reactive to reactive conditions.
- 13 August 2018
- Published by Royal Society of Chemistry (RSC) in Catalysis Science & Technology
- Vol. 8 (17) , 4537-4549
Tortuosity and mass transfer limitations in industrial hydrotreating catalysts: effect of particle shape and size distribution
The tortuosity factor of γ-alumina supports and catalysts used in hydrotreating applications was evaluated in the liquid phase with three different techniques: pulse field gradient-NMR (PFG-NMR), inverse liquid chromatography (ILC) and catalytic experiments in a batch reactor. In order to satisfy the specific experimental constraints associated with each technique, tortuosity factors were evaluated in a wide range of operating conditions: temperature was varied from 295 K to 613 K, catalyst particles were used as-synthesized (trilobe extrudates) or crushed, and the liquid composition was either pure toluene, n-heptane/squalane mixtures, or squalane/2,5-bis-(octadecyl)thiophene mixtures. It is demonstrated that not taking into account both the shape factor and the size distribution of the particles can lead to significant errors in the tortuosity factor. For both parameters, the optimal mean spherical radius depends on the contribution of internal diffusion to the overall performance. When internal diffusion is the limiting step, a new expression for the mean radius of the distributed particle is proposed and validated by comparison between ILC and PFG-NMR results. This expression is transposable to any catalytic system, making it possible to measure the tortuosity factors using either microscopic or macroscopic methodologies. Moreover, the tortuosity factors obtained with ILC and NMR are in good agreement with the one estimated from the catalytic experiments, showing that mass transfer parameters can be extrapolated from non-reactive to reactive conditions.
- 4 July 2018
- Published by Elsevier
- Vol. 43, 1559-1564
Adaptation of a Monte Carlo method to the hydrotreating of bio-oil model compounds
- 4 July 2018
- Published by Elsevier
- Vol. 43, 1559-1564
Adaptation of a Monte Carlo method to the hydrotreating of bio-oil model compounds
- 1 August 2017
- Published by Elsevier in Microporous and Mesoporous Materials
- Vol. 248, 91-98
Tortuosity of mesoporous alumina catalyst supports: Influence of the pore network organization
- 1 August 2017
- Published by Elsevier in Microporous and Mesoporous Materials
- Vol. 248, 91-98
Tortuosity of mesoporous alumina catalyst supports: Influence of the pore network organization
- 1 January 2017
- Published by Elsevier
- p. 91-96
Random porous network generation and 1D mass transfer simulation for gamma-alumina supports
- 1 January 2017
- Published by Elsevier
- p. 91-96
Random porous network generation and 1D mass transfer simulation for gamma-alumina supports
- 1 August 2016
- Published by Elsevier in Catalysis Today
- Vol. 271, 188-198
Application of Monte Carlo techniques to LCO gas oil hydrotreating: Molecular reconstruction and kinetic modelling
- 1 August 2016
- Published by Elsevier in Catalysis Today
- Vol. 271, 188-198
Application of Monte Carlo techniques to LCO gas oil hydrotreating: Molecular reconstruction and kinetic modelling
- Open Access
- 1 May 2016
- Published by EDP Sciences in Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles
- Vol. 71 (3) , 45
A Review of Kinetic Modeling Methodologies for Complex Processes
Oil & Gas Science and Technology - Revue d'IFP Energies nouvelles
- 1 May 2016
- Published by EDP Sciences in Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles
- Vol. 71 (3) , 45
Open AccessA Review of Kinetic Modeling Methodologies for Complex Processes
Oil & Gas Science and Technology - Revue d'IFP Energies nouvelles