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Evaluating the accuracy of the Distributed Activation Energy Model for biomass devolatilization curves obtained at high heating rates

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Térmica y de Fluidoses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Ingeniería de Sistemas Energéticoses
dc.contributor.authorSoria Verdugo, Antonio
dc.contributor.authorGarcía Gutiérrez, Luis Miguel
dc.contributor.authorBlanco Cano, Lucía
dc.contributor.authorGarcía Hernando, Néstor
dc.contributor.authorRuiz-Rivas Hernando, Ulpiano
dc.contributor.funderComunidad de Madrides
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2022-10-26T11:39:14Z
dc.date.available2022-10-26T11:39:14Z
dc.date.issued2014-10-01
dc.description.abstractThe characteristic parameters of devolatilization, the activation energy and the frequency factor, can be obtained following different experimental approaches. In the Distributed Activation Energy Model (DAEM), these parameters are derived from several TGA curves that are typically obtained for constant, low heating rate experiments. Then, the results are used to model high heating rate processes typical of industrial combustors. In this work, a wide range of heating rates were employed to obtain different TGA curves of the biomass pyrolysis, in order to analyse the validity of DAEM when extrapolating the kinetic parameters obtained for low heating rate curves used in the laboratory to higher heating rates present in industrial applications. The TGA curves of the biomass pyrolysis employed in DAEM were varied from low heating rates (around 10 K/min, values typically found in the literature on DAEM), to high heating rates (up to 200 K/min). The differences in the activation energy and the frequency factor obtained for different heating rates, were evaluated and the validity of the model was discussed. The results show differences between the activation energy and the frequency factor obtained using low and high heating rates during the TGA tests. Therefore, if an accurate approximation is required when extrapolating the data to high heating rates, the tests should be carried out at high heating rates.en
dc.description.sponsorshipThe authors would like to express appreciation to the BIOLAB experimental facilities and for the financial support from Projects DPI2009-10518 (MICINN) and CARDENER-CM (S2009ENE-1660).en
dc.description.statusPublicadoes
dc.format.extent4
dc.identifier.bibliographicCitationEnergy Conversion and Management, (2014), Volume 86, p.: 1045-1049.en
dc.identifier.doihttps://doi.org/10.1016/j.enconman.2014.06.074
dc.identifier.issn0196-8904
dc.identifier.publicationfirstpage1045
dc.identifier.publicationlastpage1049
dc.identifier.publicationtitleENERGY CONVERSION AND MANAGEMENTen
dc.identifier.publicationvolume86
dc.identifier.urihttps://hdl.handle.net/10016/35935
dc.identifier.uxxiAR/0000015581
dc.language.isoengen
dc.publisherElsevieren
dc.relation.projectIDComunidad de Madrid. S2009/ENE-1660/CARDENER-CMes
dc.relation.projectIDGobierno de España. DPI2009-10518es
dc.rights© 2014 Elsevier Ltd. All rights reserved.en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaEnergías Renovableses
dc.subject.otherDistributed activation energy modelen
dc.subject.otherDevolatilizationen
dc.subject.otherPyrolysisen
dc.subject.otherBiomass conversionen
dc.subject.otherActivation energyen
dc.subject.otherHeating rateen
dc.titleEvaluating the accuracy of the Distributed Activation Energy Model for biomass devolatilization curves obtained at high heating ratesen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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