G. Tejera
, LÓPEZ, C.; LÓPEZ-VÁZQUEZ, C.
, V. DÍAZ
Computers & Chemical Engineering, v.: 211 2026
Palabras clave:
Metal hydrides; Model; Sensitivity and uncertainty analysis; clean transport Areas de conocimiento:
Ciencias Naturales y Exactas / Ciencias Químicas /
Físico-Química, Ciencia de los Polímeros, Electroquímica /
Ciencias Naturales y Exactas / Matemáticas /
Estadística y Probabilidad /
Medio de divulgación: Internet
ISSN: 00981354
DOI:
10.1016/j.compchemeng.2026.109651 https://www.sciencedirect.com/science/article/abs/pii/S0098135426001043
Hydrogen storage remains a key technological challenge in clean transport systems. Its success is affected by performance variations due to a number of possible causes. We want to ascertain which one of them affects more, and manage its impact provided some actions can be performed over it. This can be performed through a Global Sensitivity Analysis (GSA) applied to a realistic numerical model. It should be representative of a real application despite simple enough to be run a number of times. We developed a numerical model of a thermally managed cylindrical metal hydride tank designed for vehicular hydrogen storage applications. The model simulates the three-dimensional evolution of temperature, reaction progress, and absorbed hydrogen mass under realistic boundary conditions and thermal configurations. To be realistic it incorporates detailed kinetics, thermodynamics, and heat transfer. This deterministic model is fed with certain and uncertain inputs. A formal GSA based on High Dimensional Model Representation (HDMR), is applied to quantify the effect of input variability on system performance. Results reveal that ambient temperature overwhelmingly dominates output variability, suggesting operational temperature constraints as an effective control strategy. Despite its limitations, the model is believed to be representative of the case considered so the conclusion supports the optimization and reliability assessment of metal hydride systems for hydrogen storage use in fuel cell electric vehicles.