Том: Computational Science and Its Applications - ICCSA 2024 Workshops. 24rd International Conference (Hanoi, Vietnam, July 1-4, 2024). Proceedings, Part III
Том: 14817
, Год издания: 2024
Многотомное издание: Computational Science and Its Applications - ICCSA 2024 Workshops. 24rd International Conference (Hanoi, Vietnam, July 1-4, 2024). Proceedings, Part III
Страницы: 290-304
Аннотация
In this paper, we present a numerical study of the effect of the bulk sorbent particle packing on the break-through time. In our experiments, we fix the physical and chemical properties of the sorbent particles but vary the packing density (macroporosity) and the CO2 volume fraction at the inlet. After that, the gas flow through the reactor is simulated, and CO2 volume fraction as a function of time at the outlet is measured. We show that, in the case of high macroporosity, the recorded CO2 concentration strongly depends on the macroporosity. On the contrary, if the macroporosity is low, we observe almost no difference in the break-through curves for the models with macroporosity less than 45%.