- -

Optimization of ODHE membrane reactor based on mixed ionic electronicconductor using soft computing techniques

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Optimization of ODHE membrane reactor based on mixed ionic electronicconductor using soft computing techniques

Show simple item record

Files in this item

dc.contributor.author Lobera González, Maria Pilar es_ES
dc.contributor.author Valero Cubas, Soledad es_ES
dc.contributor.author Serra Alfaro, José Manuel es_ES
dc.contributor.author Escolástico Rozalén, Sonia es_ES
dc.contributor.author Argente Villaplana, Estefanía es_ES
dc.contributor.author Botti, V. es_ES
dc.date.accessioned 2015-02-02T09:24:24Z
dc.date.available 2015-02-02T09:24:24Z
dc.date.issued 2011-12-15
dc.identifier.issn 0009-2509
dc.identifier.uri http://hdl.handle.net/10251/46631
dc.description.abstract [EN] This work presents the optimization of the operating conditions of a membrane reactor for the oxidative dehydrogenation of ethane. The catalytic membrane reactor is based on a mixed ionic-electronic conducting material, i.e. Ba(0.5)Sr(0.5)Co(0.8)Fe(0.2)O(delta-3), which presents high oxygen flux above 750 degrees C under sufficient chemical potential gradient. Specifically, diluted ethane is fed into the reactor chamber and air (or diluted air) is flushed to the other side of the membrane. A framework based on Soft Computing techniques has been used to maximize the ethylene yield by simultaneously varying five operation variables: nominal reactor temperature (Temp); gas flow in the reaction compartment (QHC); gas flow in the oxygen-rich compartment (QAir); ethane concentration in the reaction compartment (%C(2)H(6)); and oxygen concentration in oxygen-rich compartment (%O(2)). The optimization tool combines a genetic algorithm guided by a neural network model. This shows how the neural network model for this particular problem is obtained and the analysis of its behavior along the optimization process. The optimization process is analyzed in terms of: (1) catalytic figures of merit, i.e., evolution of yield and selectivity towards different products and (2) framework behavior and variable significance. The two experimental areas maximizing the ethylene yield are explored and analyzed. The highest yield reached in the optimization process exceeded 87%. (C) 2010 Elsevier Ltd. All rights reserved. es_ES
dc.description.sponsorship Financial support from the Spanish Ministry for Science and Innovation (Project ENE2008-06302 and FPI Grant JAE-Pre 08-0058, CONSOLIDER-INGENIO 2010 under grant CSD2007-00022, TIN2008-04446/TIN project and TIN2009-13839-C03-01 project, which are co-funded by the Spanish government and FEDER funds), EU through FP7 NASA-OTM Project (NMP3-SL-2009-228701), and the Helmholtz Association of German Research Centers through the Helmholtz Alliance MEM-BRAIN (Initiative and Networking Fund) is kindly acknowledged. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation MICINN/ENE2008-06302 es_ES
dc.relation MICINN/JAE-Pre 08-0058 es_ES
dc.relation MICINN/CSD2007-00022 es_ES
dc.relation MICINN/TIN2008-04446/TIN
dc.relation MICINN/TIN2009-13839-C03-01
dc.relation.ispartof Chemical Engineering Science es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Soft computing es_ES
dc.subject Neural network es_ES
dc.subject Genetic algorithm es_ES
dc.subject Membrane reactor es_ES
dc.subject ODHE es_ES
dc.subject Optimization es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Optimization of ODHE membrane reactor based on mixed ionic electronicconductor using soft computing techniques es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.ces.2010.12.013
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/228701 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto de Tecnología Química - Institut Universitari Mixt de Tecnologia Química es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Lobera González, MP.; Valero Cubas, S.; Serra Alfaro, JM.; Escolástico Rozalén, S.; Argente Villaplana, E.; Botti, V. (2011). Optimization of ODHE membrane reactor based on mixed ionic electronicconductor using soft computing techniques. Chemical Engineering Science. 66(24):6308-6317. https://doi.org/10.1016/j.ces.2010.12.013 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.ces.2010.12.013 es_ES
dc.description.upvformatpinicio 6308 es_ES
dc.description.upvformatpfin 6317 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 66 es_ES
dc.description.issue 24 es_ES
dc.relation.senia 202857
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Ciencia e Innovación
dc.contributor.funder Helmholtz Association of German Research Centers


This item appears in the following Collection(s)

Show simple item record