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dc.contributor.author
Rajagopalan, Ashwin Kumar
dc.contributor.author
Avila, Adolfo María
dc.contributor.author
Rajendran, Arvind
dc.date.available
2018-04-23T22:12:09Z
dc.date.issued
2015-11
dc.identifier.citation
Rajagopalan, Ashwin Kumar; Avila, Adolfo María; Rajendran, Arvind; Do adsorbent screening metrics predict process performance? A process optimisation based study for post-combustion capture of CO2; Elsevier; International Journal of Greenhouse Gas Control; 46; 11-2015; 76-85
dc.identifier.issn
1750-5836
dc.identifier.uri
http://hdl.handle.net/11336/43192
dc.description.abstract
Recent interest in carbon dioxide capture has led to development of hundreds of adsorbents. The selection of the adsorbents and analyzing their performance for a given process is a challenging task. Usually, the expected performances of these adsorbents are evaluated by inspecting the isotherms and using simple adsorbent screening metrics (selectivities, working capacities, figures of merit, etc.). In this work, a process-optimization based approach to screen adsorbents for post-combustion CO2 capture for vacuum swing adsorption (VSA) is presented. Four different adsorbents (Mg-MOF-74, UTSA-16, Zeolite 13X and activated carbon) were chosen as test materials and were subjected to process-optimization studies on a 4-step PSA cycle with light product pressurization (LPP). Two kinds of process optimization studies were performed. The first to maximize purity and recovery and the second to minimize energy consumption and maximize productivity subject to purity/recovery constraints. This study highlights that most commonly used adsorbent metrics do not necessarily rank the performance of the materials at a process scale. It is also shown that the process performance was more sensitive to the affinity of N2 than that of CO2.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
Co2 Capture
dc.subject
Adsorption
dc.subject
Screening
dc.subject
Optimization
dc.subject.classification
Otras Ingeniería Química
dc.subject.classification
Ingeniería Química
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Do adsorbent screening metrics predict process performance? A process optimisation based study for post-combustion capture of CO2
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-04-23T19:53:53Z
dc.journal.volume
46
dc.journal.pagination
76-85
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Rajagopalan, Ashwin Kumar. University of Alberta; Canadá
dc.description.fil
Fil: Avila, Adolfo María. University of Alberta; Canadá. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Rajendran, Arvind. University of Alberta; Canadá
dc.journal.title
International Journal of Greenhouse Gas Control
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.ijggc.2015.12.033
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S175058361530181X


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