Abstract. High-purity hydrogen is required for clean energy and a variety of chemical technology processes. Different alloys, which may be well-suited for use in gas-separation plants, were investigated by measuring specific hydrogen permeability. One had to estimate the parameters of diffusion and sorption to numerically model the different scenarios and experimental conditions of the material usage (including extreme ones), and identify the limiting factors. This paper presents a nonlinear model of fast hydrogen permeability in accordance with the specifics of the experiment and the parametric identification algorithm.
IntroductionStudies on the interaction of hydrogen isotopes with structural materials are mainly necessitated by problems in the energy industry (including hydrogen one) [1] and metal protection from hydrogen corrosion. Different alloys, which may be well-suited for use in gas-separation plants, were investigated by measuring specific hydrogen permeability. One had to estimate the parameters of diffusion and sorption to numerically model the different scenarios and experimental conditions of the material usage (including extreme ones), and identify the limiting factors. The limiting factors are diffusion processes as well as physical and chemical phenomena at the surface. The transfer parameters depend on the technological features of material batch production. It is therefore unreasonable to target at 'tabular data'. Instead, effective algorithms of solving the inverse problem of parametric identification are necessary. The model matches the method of hydrogen permeability and takes into account only the main factors for the membrane filtering problem. This research is based on the article [2] and on the experimental data [3].