Predicting the energy properties of torrefied debarked pine pellets from torrefaction temperature and residence time

dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Física Aplicadaes_ES
dc.contributor.affiliationUniversidade de Santiago de Compostela. Departamento de Produción Vexetal e Proxectos de Enxeñaríaes_ES
dc.contributor.areaÁrea de Enxeñaría e Arquitectura
dc.contributor.authorIglesias Canabal, Andrés
dc.contributor.authorProupín Castiñeiras, Jorge
dc.contributor.authorRodríguez Añón, José Antonio
dc.contributor.authorEimil Fraga, Cristina
dc.contributor.authorRodríguez Soalleiro, Roque
dc.date.accessioned2024-03-14T14:59:03Z
dc.date.available2024-03-14T14:59:03Z
dc.date.issued2023
dc.description.abstractIn this study, high quality radiata pine pellets were torrefied at a range of temperatures (T = 210, 240, 270 and 300 °C) and residence times (t = 20, 40 and 60 min). The effects of these treatments on mass yield (MY), ash content (A), volatile matter (VM) and fixed carbon (FC), high heating value on a dry basis (HHVdb) and low heating value on a wet basis (LHVwb) were investigated, and models were constructed to predict these energy properties from T and t. Untreated pellets were analysed as control samples. Threshold conditions of 240 °C 40 min yielded significant increases in HHVdb and carbon content and a significant decrease in oxygen content. This combination significantly increased A and FC and significantly decreased VM. Logistics models using T, t, t × T and T2 were able to predict A accurately, with no bias, whereas FC values tended to be underestimated. The variation in HHVdb and LHVwb was explained by linear models with t and t × T as variables. Use of the models enabled definition of torrefaction severity that ensures an A below 0.7% and a LHVwb value 30% higher than obtained with raw pine pellets. Torrefaction conditions of T = 260–270 °C and t = 50–60 min are proposedes_ES
dc.description.peerreviewedSIes_ES
dc.identifier.citationRenewable Energy, Volume 218, 2023, 119346es_ES
dc.identifier.doi10.1016/j.renene.2023.119346
dc.identifier.issn0960-1481
dc.identifier.urihttp://hdl.handle.net/10347/33193
dc.journal.titleRenewable Energy
dc.language.isoenges_ES
dc.page.initial119346
dc.publisherElsevieres_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.renene.2023.119346es_ES
dc.rights© 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/)es_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectModelling pellet propertieses_ES
dc.subjectBioenergyes_ES
dc.subjectTorrefactiones_ES
dc.subjectPelletizationes_ES
dc.subjectEnergy propertieses_ES
dc.subjectSolid biofuel heating valueses_ES
dc.titlePredicting the energy properties of torrefied debarked pine pellets from torrefaction temperature and residence timees_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dc.volume.number218
dspace.entity.typePublication
relation.isAuthorOfPublication08535633-9c99-4f35-91e5-42ac809424df
relation.isAuthorOfPublicationc3d8502d-0b6c-4daf-901b-0b1dc93464fa
relation.isAuthorOfPublicationaa530a18-595c-4f3c-81d2-a230dadb39da
relation.isAuthorOfPublication.latestForDiscovery08535633-9c99-4f35-91e5-42ac809424df

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