Multiscale modelling of CO2 reduction to methanol over industrial Cu/ZnO/Al2O3 heterogeneous catalyst: Linking ab initio surface reaction kinetics with reactor fluid dynamics. (1st December 2020)
- Record Type:
- Journal Article
- Title:
- Multiscale modelling of CO2 reduction to methanol over industrial Cu/ZnO/Al2O3 heterogeneous catalyst: Linking ab initio surface reaction kinetics with reactor fluid dynamics. (1st December 2020)
- Main Title:
- Multiscale modelling of CO2 reduction to methanol over industrial Cu/ZnO/Al2O3 heterogeneous catalyst: Linking ab initio surface reaction kinetics with reactor fluid dynamics
- Authors:
- Pavlišič, Andraž
Huš, Matej
Prašnikar, Anže
Likozar, Blaž - Abstract:
- Abstract: There has been a growing trend to couple different levels of modelling, such as going from first-principle calculations to the meso ( e.g. kinetic Monte Carlo - KMC) and macro scale ( e.g. computational fluid dynamics - CFD). In the current investigation, we put forward a CFD study of CO2 hydrogenation to methanol for heterogeneous reacting flows in reactors with complex shape geometries, coupled with first-principle calculations (density functional theory - DFT). KMC operation simulations were also performed to obtain insight into the uppermost layer conditions during the reaction. With computational fluid dynamics, the focus was placed on the non-uniform catalytic reduction of carbon dioxide to formate, which we treated with a detailed mean-field first-principle microkinetic model, analysed, and corroborated with experiments. The results showed a good consistent agreement with experimental data. The formulated methodological approach paves the way towards full virtual multiscale system descriptions of industrial processing units, encompassing all conventional stages, from catalyst design to the optimization of mass transfer parameters. Such a bridging is outlined for carbon capture and utilization. Graphical abstract: Image 1 Highlights: CFD simulations of CO2 hydrogenation to methanol. Multiscale modelling of greenhouse gas fixation. Steady-state heterogeneous reacting flows inside packed bed reactors. New nonlinear regression of kinetic parameters with theAbstract: There has been a growing trend to couple different levels of modelling, such as going from first-principle calculations to the meso ( e.g. kinetic Monte Carlo - KMC) and macro scale ( e.g. computational fluid dynamics - CFD). In the current investigation, we put forward a CFD study of CO2 hydrogenation to methanol for heterogeneous reacting flows in reactors with complex shape geometries, coupled with first-principle calculations (density functional theory - DFT). KMC operation simulations were also performed to obtain insight into the uppermost layer conditions during the reaction. With computational fluid dynamics, the focus was placed on the non-uniform catalytic reduction of carbon dioxide to formate, which we treated with a detailed mean-field first-principle microkinetic model, analysed, and corroborated with experiments. The results showed a good consistent agreement with experimental data. The formulated methodological approach paves the way towards full virtual multiscale system descriptions of industrial processing units, encompassing all conventional stages, from catalyst design to the optimization of mass transfer parameters. Such a bridging is outlined for carbon capture and utilization. Graphical abstract: Image 1 Highlights: CFD simulations of CO2 hydrogenation to methanol. Multiscale modelling of greenhouse gas fixation. Steady-state heterogeneous reacting flows inside packed bed reactors. New nonlinear regression of kinetic parameters with the single-pore approximation. … (more)
- Is Part Of:
- Journal of cleaner production. Volume 275(2020)
- Journal:
- Journal of cleaner production
- Issue:
- Volume 275(2020)
- Issue Display:
- Volume 275, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 275
- Issue:
- 2020
- Issue Sort Value:
- 2020-0275-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-12-01
- Subjects:
- Density functional theory (DFT) -- Kinetic Monte Carlo (KMC) -- Computational fluid dynamics (CFD) -- Catalytic reaction microkinetic -- Hierarchical multiscale modelling
Factory and trade waste -- Management -- Periodicals
Manufactures -- Environmental aspects -- Periodicals
Déchets industriels -- Gestion -- Périodiques
Usines -- Aspect de l'environnement -- Périodiques
628.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09596526 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jclepro.2020.122958 ↗
- Languages:
- English
- ISSNs:
- 0959-6526
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4958.369720
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14594.xml