Kinetic modelling of the CO2 capture and utilisation on NiRu-Ca/Al dual function material via parameter estimation

Fuente: arXiv
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Auteurs principaux: Dolat, Meshkat, Wright, Andrew David, Gharamaleki, Soudabeh Bahrami, Merkouri, Loukia-Pantzechroula, Duyar, Melis S., Short, Michael
Format: Preprint
Publié: 2025
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author Dolat, Meshkat
Wright, Andrew David
Gharamaleki, Soudabeh Bahrami
Merkouri, Loukia-Pantzechroula
Duyar, Melis S.
Short, Michael
author_facet Dolat, Meshkat
Wright, Andrew David
Gharamaleki, Soudabeh Bahrami
Merkouri, Loukia-Pantzechroula
Duyar, Melis S.
Short, Michael
contents This study presents a detailed, open-source kinetic modelling computational framework for CO2 capture and utilisation using a newly formulated dual-function material (DFM) comprising 15 wt% Ni, 1 wt% Ru, and 10 wt% CaO supported on spherical alumina. A finite difference reactor model was developed to simulate the cyclic adsorption, purge, and hydrogenation stages. The model incorporates experimentally-derived rate expressions, accounts for system delay via a second-order response function, and was fitted to time-resolved concentration laboratory data using Bayesian optimisation. A combined parameter estimation strategy was employed to ensure mass continuity across stages and improve the robustness of purge kinetics. The kinetic parameters extracted reveal that carbonate decomposition, not methanation, is the rate-limiting step during hydrogenation. Temperature-dependent simulations confirm a trade-off between reaction kinetics and CO2 storage capacity, with methane yield maximised at 300C when compared with the other temperature sets. By offering transparent methodology and reproducible code, this work provides a robust platform for researchers and practitioners to study, validate, and optimise DFM systems.
format Preprint
id arxiv_https___arxiv_org_abs_2510_12439
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Kinetic modelling of the CO2 capture and utilisation on NiRu-Ca/Al dual function material via parameter estimation
Dolat, Meshkat
Wright, Andrew David
Gharamaleki, Soudabeh Bahrami
Merkouri, Loukia-Pantzechroula
Duyar, Melis S.
Short, Michael
Chemical Physics
Optimization and Control
Applied Physics
This study presents a detailed, open-source kinetic modelling computational framework for CO2 capture and utilisation using a newly formulated dual-function material (DFM) comprising 15 wt% Ni, 1 wt% Ru, and 10 wt% CaO supported on spherical alumina. A finite difference reactor model was developed to simulate the cyclic adsorption, purge, and hydrogenation stages. The model incorporates experimentally-derived rate expressions, accounts for system delay via a second-order response function, and was fitted to time-resolved concentration laboratory data using Bayesian optimisation. A combined parameter estimation strategy was employed to ensure mass continuity across stages and improve the robustness of purge kinetics. The kinetic parameters extracted reveal that carbonate decomposition, not methanation, is the rate-limiting step during hydrogenation. Temperature-dependent simulations confirm a trade-off between reaction kinetics and CO2 storage capacity, with methane yield maximised at 300C when compared with the other temperature sets. By offering transparent methodology and reproducible code, this work provides a robust platform for researchers and practitioners to study, validate, and optimise DFM systems.
title Kinetic modelling of the CO2 capture and utilisation on NiRu-Ca/Al dual function material via parameter estimation
topic Chemical Physics
Optimization and Control
Applied Physics
url https://arxiv.org/abs/2510.12439