Generalizable global kinetic model for catalyst synthesis–structure–activity relationships: Application to <scp> C <sub>3</sub> H <sub>6</sub> </scp> ‐ <scp>SCR</scp> of <scp>NO</scp> <i> <sub> <i>x</i> </sub> </i>

Abstract The detrimental impacts of nitrogen oxides (NO x ) on health and the environment necessitates their selective catalytic reduction. Among many catalysts, Ag/γ‐Al 2 O 3 shows promise for effective NO x reduction. However, its formulation varies in terms of preparation protocols, which influence the structural, morphological, and textural properties of Ag/γ‐Al 2 O 3 catalyst and ultimately impact the catalytic performance. In this work, an inclusive crucial parameter that represents the loading of Ag atoms per given area (nm 2 ) of the catalyst surface—silver surface density ( σ Ag ) is introduced and incorporated into a kinetic model in order to account for these catalyst properties influential factors. By mathematically formulating the sensitive rate constants based on σ Ag , a simplified global kinetic model is developed that successfully validates NO x conversions for large datasets of literature. The proposed model captures experiments covering diverse catalyst preparation methods for Ag/γ‐Al 2 O 3 (impregnation and sol–gel) and Ag loadings (2–6 wt.%). It applies well to various reactor operating conditions, including various inlet feed concentrations, flow rates, space velocities, and catalyst amounts. The developed kinetic model is identified the optimal σ Ag value to 1.0, which is an important parameter for the catalyst design. The model prediction of NO x conversions reached 99%, and more than 70% NO x conversion is observed over a broader activity temperature window ranging from 350 to 600°C, under the estimated optimal reaction conditions. Therefore, this model, along with its versatile applicability, provides deep insights into catalyst synthesis–structure–activity relationships and delivers practical understandings for improved NO x reduction in exhaust gases in automotive applications.

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Publication Details

Journal
The Canadian Journal of Chemical Engineering
Published
2025-03-09
DOI
https://doi.org/10.1002/cjce.25656
Citations
1
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
0.52
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article

Generalizable global kinetic model for catalyst synthesis–structure–activity relationships: Application to C 3 H 6 ‐ SCR of NO x

Parasuraman Selvam, Shivaraj Kumar Kummari, Preeti Aghalayam, Niket S. Kaisare
1 citations
The Canadian Journal of Chemical Engineering
Catalytic Processes in Materials Science
0.52
article

Generalizable global kinetic model for catalyst synthesis–structure–activity relationships: Application to C 3 H 6 ‐ SCR of NO x

Parasuraman Selvam, Shivaraj Kumar Kummari, Preeti Aghalayam, Niket S. Kaisare
article en
1 citations

Abstract

Abstract The detrimental impacts of nitrogen oxides (NO x ) on health and the environment necessitates their selective catalytic reduction. Among many catalysts, Ag/γ‐Al 2 O 3 shows promise for effective NO x reduction. However, its formulation varies in terms of preparation protocols, which influence the structural, morphological, and textural properties of Ag/γ‐Al 2 O 3 catalyst and ultimately impact the catalytic performance. In this work, an inclusive crucial parameter that represents the loading of Ag atoms per given area (nm 2 ) of the catalyst surface—silver surface density ( σ Ag ) is introduced and incorporated into a kinetic model in order to account for these catalyst properties influential factors. By mathematically formulating the sensitive rate constants based on σ Ag , a simplified global kinetic model is developed that successfully validates NO x conversions for large datasets of literature. The proposed model captures experiments covering diverse catalyst preparation methods for Ag/γ‐Al 2 O 3 (impregnation and sol–gel) and Ag loadings (2–6 wt.%). It applies well to various reactor operating conditions, including various inlet feed concentrations, flow rates, space velocities, and catalyst amounts. The developed kinetic model is identified the optimal σ Ag value to 1.0, which is an important parameter for the catalyst design. The model prediction of NO x conversions reached 99%, and more than 70% NO x conversion is observed over a broader activity temperature window ranging from 350 to 600°C, under the estimated optimal reaction conditions. Therefore, this model, along with its versatile applicability, provides deep insights into catalyst synthesis–structure–activity relationships and delivers practical understandings for improved NO x reduction in exhaust gases in automotive applications.

The Canadian Journal of Chemical EngineeringVol. 103(10)
Indian Institute of Technology Madras (IN)
Openalex Percentile: Top 41%
Catalytic Processes in Materials Science
0.52
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