Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Comparison of Mass Transfer Models on Rate-Based Simulation of CO2 Absorption and Desorption Processes
KTH, School of Chemical Science and Engineering (CHE), Chemical Engineering and Technology, Energy Processes.
Show others and affiliations
2017 (English)In: Proceedings of the 9th International Conference on Applied Energy, Elsevier, 2017, Vol. 142, p. 3747-3752Conference paper, Published paper (Refereed)
Abstract [en]

The effective technology for capturing CO2 at the low concentration is chemical absorption, due to the high reactivity between CO2 and aqueous amine solutions. To capture CO2, the process involves complex reactive separations. The accurate calculation of hydrodynamic properties, and mass and energy transfer are of importance for the design of the absorber and desorber columns. This paper performs the rate-based simulations of CO2 absorption by Monoethanolamine in Aspen Plus. In the calculation of the mass transfer coefficients, different mass transfer models were implemented. In comparison with the desorber, the impacts of mass transfer models were more significant in the simulation of the absorber. For both columns, the impacts of the mass transfer models on the concentration profiles were more significant than those on the temperature profiles. For the absorber, the maximum deviations occur at the bottom of the column for both the concentration and the temperature profiles. Different from the absorber, for the desorber, the maximum deviations occur close to the top of the column.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 142, p. 3747-3752
Series
Energy Procedia, ISSN 1876-6102 ; 142
Keywords [en]
CCS, Chemical absorption, Mass transfer model, MEA, Simulation
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:kth:diva-224405DOI: 10.1016/j.egypro.2017.12.271Scopus ID: 2-s2.0-85041529278OAI: oai:DiVA.org:kth-224405DiVA, id: diva2:1191161
Conference
9th International Conference on Applied Energy, ICAE 2017, Cardiff, United Kingdom, 21 August 2017 through 24 August 2017
Funder
The Swedish Foundation for International Cooperation in Research and Higher Education (STINT)Swedish Energy AgencySwedish Research Council
Note

QC 20180316

Available from: 2018-03-16 Created: 2018-03-16 Last updated: 2018-03-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Tan, YutingYan, Jinyue

Search in DiVA

By author/editor
Tan, YutingYan, Jinyue
By organisation
Energy Processes
Energy Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 1 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf