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dc.creatorArias, Ana Marisa
dc.creatorKraft, Romina Alejandra
dc.creatorScenna, Nicolás José
dc.creatorMores, Patricia Liliana
dc.date.accessioned2024-03-18T18:29:24Z
dc.date.available2024-03-18T18:29:24Z
dc.date.issued2023-06
dc.identifier.citationWCCE11 - 11th World Congress of Chemical Engineeringes_ES
dc.identifier.issn2953-5565
dc.identifier.urihttp://hdl.handle.net/20.500.12272/9810
dc.description.abstractCarbon capture remains as one of the most promising alternatives to mitigate flue gas impact from installed plants. Several alternatives are being studied with different development levels. Membranes have been employed for gas separation in diverse industries; its application for carbon capture has been largely discussed. The mayor drawback of this technology lies on the high-energy requirement for driving force generation and its liability when treating humid gas. As a first approach to CO2 separation, early works study binary gas mixtures as representative of flue gases. However, the presence of a little amount of H2O may affect the separation in ways that need to be explored. In this work, an analysis on the impact of H2O presence on the driving force and overall separation efficiency is carried out. A four- component flue gas mixture including H2O and 02 is considered for a more realistic approach. The process objective is to recover 90% of the incoming CO2 and deliver a high purity permeate. Here, a typical two-stage counter-current membrane system is studied (Figure 1). Each stage includes a feed compressor followed by a cooler, the first one is also connected to a vacuum pump on the permeate side and another cooler. An optimization program based on a previous model [1] modified to consider a four-component mixture is implemented in GAMS. Mass and energy transfer phenomena, investment and operative costs, among others, are represented by a set of algebraic equations. Three different driving force generation setups are considered: feed compression, permeate vacuum, or a combination of both. Total annual cost (TAC) is selected as objective function to assess all the trade-offs between investment and operative costs, contrasting and accounting H2O influence. The resulting optimal driving force generation strategy includes a combination of feed compression and permeate vacuum pumping, fulfilling a 90% CO2 recovery. In fact, the incidence of investment over TAC is much less pronounced than the costs related to energy consumption.es_ES
dc.description.sponsorshipUniversidad Tecnológica Nacional (UTN) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)es_ES
dc.formatpdfes_ES
dc.language.isoenges_ES
dc.publisherAsociación Argentina de Ingenieros Químicos/ Oscar Pagolaes_ES
dc.rightsopenAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.rights.uriAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.subjectmembrane separationes_ES
dc.subjectCO2 capturees_ES
dc.subjectwater influencees_ES
dc.subjectoptimization modeles_ES
dc.titleWater influence on total annual cost for CO2 separation through a two-stage membrane system.es_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.description.affiliationFil: Arias, Ana Marisa. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.es_ES
dc.description.affiliationFil: Kraft, Romina Alejandra. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.es_ES
dc.description.affiliationFil: Scenna, Nicolás José. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI) ; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.es_ES
dc.description.affiliationFil: Mores, Patricia Liliana. Universidad Tecnológica Nacional. Facultad Regional Rosario. Centro de Aplicaciones Informáticas y Modelado en Ingeniería (CAIMI). Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) ; Argentina.es_ES
dc.type.versionpublisherVersiones_ES
dc.rights.useAcceso abierto, con fines de estudio e investigación .Siempre con la mención de los autores.es_ES
dc.creator.orcid0000-0002-6716-6633es_ES
dc.creator.orcid0000-0003-0287-488Xes_ES
dc.creator.orcid0000-0002-1129-8725es_ES
dc.creator.orcid0000-0001-6026-142Xes_ES


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