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dc.contributor.author
Mores, Patricia Liliana
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dc.contributor.author
Scenna, Nicolas Jose
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dc.contributor.author
Mussati, Sergio Fabian
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dc.date.available
2019-09-17T17:33:52Z
dc.date.issued
2012-07
dc.identifier.citation
Mores, Patricia Liliana; Scenna, Nicolas Jose; Mussati, Sergio Fabian; CO2 capture using monoethanolamine (MEA) aqueous solution: Modeling and optimization of the solvent regeneration and CO2 desorption process; Pergamon-Elsevier Science Ltd; Energy; 45; 1; 7-2012; 1042-1058
dc.identifier.issn
0360-5442
dc.identifier.uri
http://hdl.handle.net/11336/83713
dc.description.abstract
This paper deals with the simultaneously optimization of operating conditions (pressures, temperatures and flow-rates) and dimensions (diameter and height) of the amine regeneration unit in the postcombustion CO2 capture process. The proposed model takes into account the effect of kinetic reactions on the mass transfer, the hydraulics of the random packing and the pressure drop along the column. In addition, profiles of temperature, composition and flow-rate along the height of the regenerator are also predicted. The resulting mathematical model is implemented into the optimization environment General Algebraic Modeling System (GAMS) which is a high-level modeling system for mathematical programming and optimization. The benefits of the mathematical programming techniques (equation-oriented modeling tools) are exploited for the simultaneous optimization not only of the operating conditions but also the dimensions of the all piece of equipments (heat exchangers, regeneration unit, condenser and reboiler). The mathematical model was successfully verified by comparison of the obtained results with published experimental data and simulated solutions obtained by a process simulator (HYSYS). Once validated, the model was used for optimization purpose. Finally, in order to study the effect of the main process parameters on the optimized results a sensitivity analysis is also investigated and discussed in detail.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Pergamon-Elsevier Science Ltd
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Co2 Desorption
dc.subject
Simultaneous Optimization
dc.subject
Mathematical Programming
dc.subject
Amine Regeneration
dc.subject.classification
Ingeniería de Procesos Químicos
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dc.subject.classification
Ingeniería Química
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dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
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dc.title
CO2 capture using monoethanolamine (MEA) aqueous solution: Modeling and optimization of the solvent regeneration and CO2 desorption process
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-09-17T13:56:13Z
dc.journal.volume
45
dc.journal.number
1
dc.journal.pagination
1042-1058
dc.journal.pais
Alemania
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dc.description.fil
Fil: Mores, Patricia Liliana. Utn-frro; Argentina
dc.description.fil
Fil: Scenna, Nicolas Jose. Utn-frro; Argentina
dc.description.fil
Fil: Mussati, Sergio Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentina
dc.journal.title
Energy
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.energy.2012.06.038
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