Standard

Dependence of CO2 Breakthrough on the Sorbent Packing. / Gonchar, Alexandra; Lisitsa, Vadim; Khachkova, Tatyana и др.

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. стр. 290-304 20 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 14817 LNCS).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Gonchar, A, Lisitsa, V, Khachkova, T, Prokhorov, D & Derevschikov, V 2024, Dependence of CO2 Breakthrough on the Sorbent Packing. в 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), Том. 14817 LNCS, Springer Science and Business Media Deutschland GmbH, стр. 290-304, 24th International Conference on Computational Science and Its Applications, Hanoi, Вьетнам, 01.07.2024. https://doi.org/10.1007/978-3-031-65238-7_20

APA

Gonchar, A., Lisitsa, V., Khachkova, T., Prokhorov, D., & Derevschikov, V. (2024). Dependence of CO2 Breakthrough on the Sorbent Packing. в Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (стр. 290-304). [20] (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 14817 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-65238-7_20

Vancouver

Gonchar A, Lisitsa V, Khachkova T, Prokhorov D, Derevschikov V. Dependence of CO2 Breakthrough on the Sorbent Packing. в 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. стр. 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 и др. / 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. стр. 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 -

ID: 60483669