H<sub>2</sub> Production from Ammonia Borane: Integrating Experiments, Computational Fluid Dynamics, and Statistical Analysis for Predicting and Optimizing Process and Reactor Design

Abstract In this study, an iridium catalyst (Ir/Ni 10 Ce) was used for the catalytic hydrolysis of ammonia borane (AB). The parameters tested were temperature, stirring rate, AB concentration, and AB‐to‐catalyst molar ratio. By integrating a simple Langmuir–Hinshelwood kinetic in a computational fluid dynamics (CFD) simulation, the experimental results were validated with a maximum error of 13% observed at only two experimental conditions, while on the rest it was lower than 10%, showcasing the robustness of the model. In all experimental cases, AB resulted in over 85% H 2 yield. Statistical analysis was also implemented to uncover the effect of the four main factors: temperature, stirring rate, AB concentration, and substrate (AB) to catalyst ratio, on the three response variables: reaction time, TOF, and H 2 yield. Radar plots are also presented, illustrating how two‐factor interaction influences the response variables. By combining temperature with either concentration or catalyst amount, a profound effect on the reaction time was observed. The combination of experimental work along with computational work of CFD and statistical analysis can significantly enhance a reaction process by targeting the most impactful factors, allowing experiments with optimized reaction conditions for better results in terms of H 2 yield and catalytic performance. Considering also the interaction of the variables enables further process optimization by focusing on specific parameter combinations without wasting resources.

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Publication Details

Journal
ChemCatChem
Published
2025-05-31
DOI
https://doi.org/10.1002/cctc.202500615
Citations
2
Primary Topic
Hydrogen Storage and Materials
Type
article
Field-Weighted Citation Impact
1.04
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article

H2 Production from Ammonia Borane: Integrating Experiments, Computational Fluid Dynamics, and Statistical Analysis for Predicting and Optimizing Process and Reactor Design

Eleana Harkou, Nikolaos Dimitratos, Alberto Villa, Ilaria Barlocco et al.
2 citations
ChemCatChem
Hydrogen Storage and Materials
1.04
article

H2 Production from Ammonia Borane: Integrating Experiments, Computational Fluid Dynamics, and Statistical Analysis for Predicting and Optimizing Process and Reactor Design

Eleana Harkou, Nikolaos Dimitratos, Alberto Villa, Ilaria Barlocco, Silvio Bellomi, George Manos, Achilleas Constantinou, Juan J. Delgado, Xiaowei Chen, Antreas Afantitis, Panayiota Adamou, Dimitris Mintis
article en
2 citations

Abstract

Abstract In this study, an iridium catalyst (Ir/Ni 10 Ce) was used for the catalytic hydrolysis of ammonia borane (AB). The parameters tested were temperature, stirring rate, AB concentration, and AB‐to‐catalyst molar ratio. By integrating a simple Langmuir–Hinshelwood kinetic in a computational fluid dynamics (CFD) simulation, the experimental results were validated with a maximum error of 13% observed at only two experimental conditions, while on the rest it was lower than 10%, showcasing the robustness of the model. In all experimental cases, AB resulted in over 85% H 2 yield. Statistical analysis was also implemented to uncover the effect of the four main factors: temperature, stirring rate, AB concentration, and substrate (AB) to catalyst ratio, on the three response variables: reaction time, TOF, and H 2 yield. Radar plots are also presented, illustrating how two‐factor interaction influences the response variables. By combining temperature with either concentration or catalyst amount, a profound effect on the reaction time was observed. The combination of experimental work along with computational work of CFD and statistical analysis can significantly enhance a reaction process by targeting the most impactful factors, allowing experiments with optimized reaction conditions for better results in terms of H 2 yield and catalytic performance. Considering also the interaction of the variables enables further process optimization by focusing on specific parameter combinations without wasting resources.

ChemCatChemVol. 17(15)
Cyprus University of Technology (CY), University of Milan (IT), Universidad de Cádiz (ES), Larnaca College (CY), NovaMechanics (Cyprus) (CY), University College London (GB), University of Bologna (IT)
Openalex Percentile: Top 25%
Hydrogen Storage and Materials
1.04
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