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dc.contributor.authorGilardi, Matteo
dc.contributor.authorBisotti, Filippo
dc.contributor.authorKnuutila, Hanna Katariina
dc.contributor.authorTobiesen, Finn Andrew
dc.contributor.authorBonalumi, Davide
dc.date.accessioned2023-11-07T13:56:36Z
dc.date.available2023-11-07T13:56:36Z
dc.date.created2023-08-30T12:42:09Z
dc.date.issued2023
dc.identifier.citationChemical Engineering Transactions. 2023, 100 271-276.en_US
dc.identifier.issn1974-9791
dc.identifier.urihttps://hdl.handle.net/11250/3101160
dc.description.abstractCarbon Capture and Storage (CCS) is among the main available options to cut CO2 emissions from the industry and energy production sectors, but the high costs of current CCS technology still limit their large-scale applicability. For this reason, there is increasing interest in alternative absorbents with the potential to lower the energy and environmental impact of carbon capture. The estimation of costs, as well as process design and optimization, require accurate, reliable, and stable thermodynamic models. This article presents the development and testing of an ELECNRTL model in Aspen Plus for the characterization of HS3, an innovative blend made up of a primary (3-amino-1-propanol) and a tertiary (1-(2-hydroxyethyl) pyrrolidine) amine studied in the H2020-funded Realise project. The vapor-liquid equilibrium (VLE) model is fitted to in-house experimental data covering a wide range of loadings and operating temperatures. A plot for the system speciation in the liquid phase is obtained. Moreover, a comparison between the heat of absorption data and model prediction is also included. The proposed VLE model shows good accuracy and numerical stability in the whole temperatures and loading ranges of interest for industrial CO2 capture applications.en_US
dc.language.isoengen_US
dc.publisherAIDIC The Italian Association of Chemical Engineeringen_US
dc.titleAspen Plus ENRTL Model for HS3 Blend, a Novel Solvent for CO2 Captureen_US
dc.title.alternativeAspen Plus ENRTL Model for HS3 Blend, a Novel Solvent for CO2 Captureen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holderOpen Accessen_US
dc.source.pagenumber271-276en_US
dc.source.volume100en_US
dc.source.journalChemical Engineering Transactionsen_US
dc.identifier.doi10.3303/CET23100046
dc.identifier.cristin2170909
dc.relation.projectEC/H2020/884266en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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