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dc.contributor.authorArenillas de la Puente, Ana-
dc.contributor.authorRubiera González, Fernando-
dc.contributor.authorPevida García, Covadonga-
dc.contributor.authorPis Martínez, José Juan-
dc.date.accessioned2014-10-10T10:18:21Z-
dc.date.available2014-10-10T10:18:21Z-
dc.date.issued2001-04-
dc.identifier.citationJournal of Analytical and Applied Pyrolysis 58-59: 685-701 (2001)es_ES
dc.identifier.issn0165-2370-
dc.identifier.urihttp://hdl.handle.net/10261/103164-
dc.description.abstractKnowledge of the coal devolatilisation rate is of great importance because it exerts a marked effect on the overall combustion behaviour. Different approaches can be used to obtain the kinetics of the complex devolatilisation process. The simplest are empirical and employ global kinetics, where the Arrhenius expression is used to correlate rates of mass loss with temperature. In this study a high volatile bituminous coal was devolatilised at four different heating rates in a thermogravimetric analyser (TG) linked to a mass spectrometer (MS). As a first approach, the Arrhenius kinetic parameters (k and A) were calculated from the experimental results, assuming a single step process. Another approach is the distributed-activation energy model, which is more complex due to the assumption that devolatilisation occurs through several first-order reactions, which occur simultaneously. Recent advances in the understanding of coal structure have led to more fundamental approaches for modelling devolatilisation behaviour, such as network models. These are based on a physico-chemical description of coal structure. In the present study the FG–DVC (Functional Group–Depolymerisation, Vaporisation and Crosslinking) computer code was used as the network model and the FG–DVC predicted evolution of volatile compounds was compared with the experimental results. In addition, the predicted rate of mass loss from the FG–DVC model was used to obtain a third devolatilisation kinetic approach. The three methods were compared and discussed, with the experimental results as a reference.es_ES
dc.description.sponsorshipThis work is supported by the II Plan Regional de Investigación del Principado de Asturias (PB-AMB99-07C1). Authors also acknowledge to Advanced Fuel Research, Inc. for supplying the FG-DVC code.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.isversionofPostprintes_ES
dc.rightsopenAccesses_ES
dc.subjectCoal pyrolysises_ES
dc.subjectModellinges_ES
dc.subjectDevolatilisation kineticses_ES
dc.subjectTG–MSes_ES
dc.titleA comparison of different methods for predicting coal devolatilisation kineticses_ES
dc.typeArtículoes_ES
dc.identifier.doi10.1016/S0165-2370(00)00183-2-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1016/S0165-2370(00)00183-2es_ES
dc.relation.csices_ES
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