In situ adaptive tabulation for the CFD simulation of heterogeneous reactors based on operator‐splitting algorithm
Abstract
In situ Adaptive Tabulation algorithm is applied to efficiently solve the chemical substep in the context of the simulation of heterogeneous reactors. A numerical strategy—specifically conceived for unsteady simulation of catalytic devices—has been developed and interfaced, in the context of the operator splitting technique, with the solution of the chemical substep, which requires 70–90% of the total computational time. The algorithm performances have been illustrated by considering a single channel of a honeycomb reactor operating the catalytic partial oxidation of methane and a methane steam reforming packed bed reactor. The application of in situ adaptive tabulation resulted in a speed‐up of the chemical substep up to ∼500 times with an overall speed‐up of ∼5–15 times for the whole simulation. Such reduction of the computation effort is key to make affordable fundamental computational fluid dynamics simulations of chemical reactors at a level of complexity relevant to technological applications. © 2016 American Institute of Chemical Engineers AIChE J, 63: 95–104, 2017
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Even with the steady-state simplification, evaluating surface kinetics still poses a severe computational bottleneck.
“Even with that simplification, evaluating the surface kinetics still poses a severe computational bottleneck.1,7,[18][19][20]”
From Efficient neural network models of chemical kinetics using a latent asinh rate transformation (2023) · cites this paper as [7]
The solution of chemical kinetics often takes 70% to 90% of the computation time for both gas-phase and surface-reactive systems.
“The computationally most demanding part of those simulations is the solution of the chemical kinetics that often takes 70 % to 90 % of the computation time for both gas-phase 5,6 and surface-reactive 1,7 systems.”
From Efficient neural network models of chemical kinetics using a latent asinh rate transformation (2023) · cites this paper as [7]
ISAT and PRISM are among the most used on-the-fly techniques.
“Some of the most used on-the-fly techniques exploit prior solutions to estimate new queries like the in-situ adaptive tabulation (ISAT) 7,8,18,[20][21][22][23] and piecewise reusable implementation of solution mapping (PRISM) 24 technique.”
From Efficient neural network models of chemical kinetics using a latent asinh rate transformation (2023) · cites this paper as [7]
Cites
Matera, S., Maestri, M., Cuoci, A., & Reuter, K. (2014) · ACS Catalysis · doi:10.1021/cs501154e · Cited by 92 · see citing works
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Quo vadis multiscale modeling in reaction engineering? – A perspective
Wehinger, G. D., Ambrosetti, M., Cheula, R., Ding, Z.-B., Isoz, M., Kreitz, B., Kuhlmann, K., Kutscherauer, M., Niyogi, K., Poissonnier, J., et al. (2022) · Chemical Engineering Research and Design · doi:10.1016/j.cherd.2022.05.030 · Cited by 64 · see citing works
Self-citationComputational Fluid Dynamics of Reacting Flows at Surfaces: Methodologies and Applications
Micale, D., Ferroni, C., Uglietti, R., Bracconi, M., & Maestri, M. (2022) · Chemie Ingenieur Technik · doi:10.1002/cite.202100196 · Cited by 41 · see citing works
Self-citationBracconi, M. (2022) · Chemical Engineering and Processing - Process Intensification · doi:10.1016/j.cep.2022.109148 · Cited by 42 · see citing works
Self-citationDöppel, F. A., & Votsmeier, M. (2022) · Chemical Engineering Science · doi:10.1016/j.ces.2022.117964 · Cited by 38 · see citing works
Efficient neural network models of chemical kinetics using a latent asinh rate transformation
Döppel, F. A., & Votsmeier, M. (2023) · Reaction Chemistry & Engineering · doi:10.1039/d3re00212h · Cited by 24 · see citing works
Uglietti, R., Bracconi, M., & Maestri, M. (2020) · Reaction Chemistry & Engineering · doi:10.1039/c9re00440h · Cited by 22 · see citing works
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- Authors
- Bracconi, M., Maestri, M., & Cuoci, A.
- Affiliations
- Politecnico di Milano (IT)
- Corresponding author
- Maestri, Matteo
- Venue
- AIChE Journal
- Publisher
- Wiley
- Published
- 2016-08-19
- Volume
- 63
- Issue
- 1
- Pages
- 95-104
- ISSN
- 0001-1541 (ISSN-L)
- 1547-5905
- OpenAlex
- W2484859166
- Cited by
- 41
- References
- 1
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 7 · 2023: 4 · 2022: 6 · 2021: 2 · 2020: 3 · 2019: 1 · 2018: 6 · 2017: 2 · 2016: 1
- FWCI
- 2.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- AIChE Journal (publishedVersion)
- Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › Heat and Mass Transfer in Porous Media
- Physical Sciences › Engineering › Computational Mechanics › Computational Fluid Dynamics and Aerodynamics
- Physical Sciences › Engineering › Computational Mechanics › Combustion and flame dynamics
- Keywords
- in situ adaptive tabulation, heterogeneous reactors, operator splitting, honeycomb reactor, catalytic partial oxidation of methane, steam methane reforming, fixed-bed reactor, unsteady simulation, computational speed-up, reaction kinetics
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