Elucidating the rate-determining step of ammonia decomposition on Ru-based catalysts using ab initio-grounded microkinetic modeling
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Kulkarni, Shekhar Rajabhau
Realpe, Natalia

Yerrayya, Attada
Velisoju, Vijay Kumar

Sayas, Salvador

Realpe, Natalia

Cerrillo, Jose Luis

Katikaneni, Sai P.
Paglieri, Stephen N.
Solami, Bandar
Gascon, Jorge

Castaño, Pedro

KAUST Department
KAUST Catalysis Center (KCC)Physical Science and Engineering (PSE) Division
Chemical Engineering Program
Date
2023-02-08Permanent link to this record
http://hdl.handle.net/10754/689981
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Decarbonizing the current energy system requires a shift toward renewable energy sources, among which ammonia is a remarkable hydrogen carrier. However, developing an efficient process for the catalytic decomposition of ammonia is still required. Here, we propose a combined modeling-experimental approach to elucidate the rate-determining step in ammonia decomposition on Ru-based catalysts. We characterize and test two supported Ru and Ru-K catalysts in the reaction. We develop several microkinetic models based on ab initio calculations considering different rate-determining steps and validate them with the results of packed bed experiments. For the method validation, we develop a fitting strategy based on modifying the lowest number of parameters from those initially obtained theoretically. A good agreement between the simulated and measured experimental ammonia conversions is obtained, thus widening our understanding of this critical hydrogen production process. The approach presented here allows distinguishing the rate-determining step accurately, and it could be applied to other catalytic systems used in ammonia decomposition to avoid over-relying on empirical models.Citation
Kulkarni, S. R., Realpe, N., Yerrayya, A., Velisoju, V. K., Sayas, S., Morlanes, N., Cerillo, J., Katikaneni, S. P., Paglieri, S. N., Solami, B., Gascon, J., & Castaño, P. (2023). Elucidating the rate-determining step of ammonia decomposition on Ru-based catalysts using ab initio-grounded microkinetic modeling. Catalysis Science & Technology. https://doi.org/10.1039/d3cy00055aSponsors
The authors gratefully acknowledge the financial support provided by Saudi Aramco and the resources and facilities provided by the King Abdullah University of Science and Technology (KAUST). The authors acknowledge the KAUST Supercomputing Laboratory (KSL) for providing high-performance computational resources.Publisher
Royal Society of Chemistry (RSC)Journal
Catalysis Science and TechnologyAdditional Links
http://xlink.rsc.org/?DOI=D3CY00055Aae974a485f413a2113503eed53cd6c53
10.1039/d3cy00055a
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Except where otherwise noted, this item's license is described as Archived with thanks to Catalysis Science and Technology under a Creative Commons license, details at: http://creativecommons.org/licenses/by-nc/3.0/