RT journal article
T1 H2 Production from Ammonia Borane: Integrating Experiments, Computational Fluid Dynamics, and Statistical Analysis for Predicting and Optimizing Process and Reactor Design
A1 Adamou, Panayiota
A1 Harkou, Eleana
A1 Bellomi, Silvio
A1 Barlocco, Ilaria
A1 Mintis, Dimitris
A1 Afantitis, Antreas
A1 Delgado Jaén, Juan José
A1 Chen, Xiaowei
A1 Manos, George
A1 Dimitratos, Nikolaos
A1 Villa, Alberto
A1 Constantinou, Achilleas
A2 Ciencia de los Materiales e Ingeniería Metalúrgica y Química Inorgánica
K1 Ammonia borane
K1 Hydrogen
K1 Hydrolysis
K1 Modelling
K1 Statistical analysis
AB In this study, an iridium catalyst (Ir/Ni10Ce) 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% H2 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 H2 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 H2 yield and catalytic performance. Considering also the interaction of the variables enables further process optimization by focusing on specific parameter combinations without wasting resources.
PB Wiley
SN 1867-3899
YR 2025
FD 2025
LK http://hdl.handle.net/10498/38139
UL http://hdl.handle.net/10498/38139
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 22-sep-2026