Standard
Dependence of CO2 Breakthrough on the Sorbent Packing. / Gonchar, Alexandra; Lisitsa, Vadim; Khachkova, Tatyana et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, 2024. p. 290-304 20 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14817 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Harvard
Gonchar, A
, Lisitsa, V, Khachkova, T, Prokhorov, D & Derevschikov, V 2024,
Dependence of CO2 Breakthrough on the Sorbent Packing. in
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)., 20, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14817 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 290-304, 24th International Conference on Computational Science and Its Applications, Hanoi, Viet Nam,
01.07.2024.
https://doi.org/10.1007/978-3-031-65238-7_20APA
Vancouver
Gonchar A
, Lisitsa V, Khachkova T, Prokhorov D, Derevschikov V.
Dependence of CO2 Breakthrough on the Sorbent Packing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH. 2024. p. 290-304. 20. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-65238-7_20
Author
Gonchar, Alexandra
; Lisitsa, Vadim ; Khachkova, Tatyana et al. /
Dependence of CO2 Breakthrough on the Sorbent Packing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, 2024. pp. 290-304 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
BibTeX
@inproceedings{3355500c5f3047cb878e3eed065a67d5,
title = "Dependence of CO2 Breakthrough on the Sorbent Packing",
abstract = "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%.",
keywords = "Chemosorption, finite differences, reactive transport",
author = "Alexandra Gonchar and Vadim Lisitsa and Tatyana Khachkova and Dmitry Prokhorov and Vladimir Derevschikov",
note = "The research was supported by the Russian Science Foundation grant no. 21–71-20003.; 24th International Conference on Computational Science and Its Applications, ICCSA 2024 ; Conference date: 01-07-2024 Through 04-07-2024",
year = "2024",
doi = "10.1007/978-3-031-65238-7_20",
language = "English",
isbn = "9783031652370",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "290--304",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
}
RIS
TY - GEN
T1 - Dependence of CO2 Breakthrough on the Sorbent Packing
AU - Gonchar, Alexandra
AU - Lisitsa, Vadim
AU - Khachkova, Tatyana
AU - Prokhorov, Dmitry
AU - Derevschikov, Vladimir
N1 - Conference code: 24
PY - 2024
Y1 - 2024
N2 - 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%.
AB - 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%.
KW - Chemosorption
KW - finite differences
KW - reactive transport
UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-85200734386&origin=inward&txGid=2872f771e209a7d464d4b29df6c592bc
UR - https://www.mendeley.com/catalogue/39b797e7-467b-315a-85b6-2b0b32f1d498/
U2 - 10.1007/978-3-031-65238-7_20
DO - 10.1007/978-3-031-65238-7_20
M3 - Conference contribution
SN - 9783031652370
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 290
EP - 304
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Science and Business Media Deutschland GmbH
T2 - 24th International Conference on Computational Science and Its Applications
Y2 - 1 July 2024 through 4 July 2024
ER -
