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dc.contributor.author
Arias, Ana Marisa  
dc.contributor.author
Scenna, Nicolas Jose  
dc.contributor.author
Mores, Patricia Liliana  
dc.date.available
2024-01-23T13:29:59Z  
dc.date.issued
2023-10  
dc.identifier.citation
Arias, Ana Marisa; Scenna, Nicolas Jose; Mores, Patricia Liliana; Membrane superstructure optimization for carbon capture from cement plants. Water content influence on optimal solution; Elsevier; International Journal of Greenhouse Gas Control; 129; 10-2023; 1-14  
dc.identifier.issn
1750-5836  
dc.identifier.uri
http://hdl.handle.net/11336/224584  
dc.description.abstract
A four-membrane superstructure, embedding different connection alternatives and driving force generation options, was extended to consider a four-component wet flue gas mixture. Three case scenarios were assessed for treating a flue gas stream from a cement plant. By minimizing the specific total annual cost (sTAC), each case converged to a distinct local optimal arrangement, achieving the same separation target (90% CO2 recovery and 95% CO2 purity on the concentrated stream), thus highlighting the versatility of the model. In terms of the same superstructure and cost model, the optimal solution for capturing CO2 from wet flue gases is approximately 1.5 times higher than that of a dry mixture. A commonly published optimal two membrane-stage configuration fails to achieve high separation targets, even with low water content. The most cost-effective approach is to eliminate water at the beginning of the process. The energy consumed for CO2 pumping and compression is offset by energy generated during retentate expansion, resulting in a surplus that reduces the overall energy consumption to drive the process.  
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-sa/2.5/ar/  
dc.subject
COST-EFFECTIVE CARBON CAPTURE  
dc.subject
MEMBRANE SUPERSTRUCTURE OPTIMIZATION  
dc.subject
MULTI-COMPONENT WET GAS MIXTURE  
dc.subject.classification
Ingeniería de Procesos Químicos  
dc.subject.classification
Ingeniería Química  
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Membrane superstructure optimization for carbon capture from cement plants. Water content influence on optimal solution  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-01-22T12:50:11Z  
dc.journal.volume
129  
dc.journal.pagination
1-14  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Arias, Ana Marisa. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería; Argentina  
dc.description.fil
Fil: Scenna, Nicolas Jose. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina  
dc.description.fil
Fil: Mores, Patricia Liliana. Universidad Tecnológica Nacional. Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina  
dc.journal.title
International Journal of Greenhouse Gas Control  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S1750583623001342  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.ijggc.2023.103964