Laser-based spectroscopy diagnosis and detailed numerical models to gain understanding on the slow pyrolysis behavior of thermally thick wood particles

dc.contributor.authorAlmuina-Villar, Hernán
dc.contributor.authorAnca-Couce, Andrés
dc.contributor.authorLang, Norbert
dc.contributor.authorRöpcke, Jürgen
dc.contributor.authorBehrendt, Frank
dc.contributor.authorDieguez-Alonso, Alba
dc.date.accessioned2022-06-20T09:07:44Z
dc.date.available2022-06-20T09:07:44Z
dc.date.issued2018-06-01
dc.description.abstractThe slow pyrolysis behaviour of thermally thick wood particles is investigated at 5, 10 and 20 °C/min, combining an advanced single-particle experimental approach with a detailed numerical model. Infrared laser absorption spectroscopy (IRLAS) and laser-induced fluorescence spectroscopy (LIF) are used to characterize on-line and in-situ the evolution of the following volatile products in the close vicinity of the pyrolysing particle: CO2, CO, CH4, H2O, CH2O and fluorescence-emitting species with excitation wavelengths of 266 and 355 nm, such as polycyclic aromatic hydrocarbons (PAH). The numerical particle model is coupled with a detailed pyrolysis kinetic scheme, being able to predict with good accuracy mass loss, temperature evolution and online release of species such as H2O and CO. Model predictions are in some cases even better than for the medium heating rate conditions for which the model was initially tested, showing its wide applicability. Furthermore, the model can be improved including PAH release, for which experimental data is presented, and the delayed release of CH4, which is not correctly described by the model at low heating rates.en
dc.identifier.issn2283-9216
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/17117
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-15896
dc.language.isoenen
dc.relation.ispartof10.14279/depositonce-15450
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc620 Ingenieurwissenschaften und zugeordnete Tätigkeitende
dc.subject.otherbiomass pyrolysisen
dc.subject.otherin-situ spectroscopyen
dc.subject.otherlaser-induced fluorescenceen
dc.subject.otherheterogeneous secondary reactionsen
dc.subject.otherinorganicsen
dc.subject.otherBiomasse-Pyrolysede
dc.subject.otherin-situ Spektroskopiede
dc.subject.otherlaserinduzierte Fluoreszenzde
dc.subject.otherheterogene Sekundärreaktionende
dc.subject.otherAnorganikade
dc.titleLaser-based spectroscopy diagnosis and detailed numerical models to gain understanding on the slow pyrolysis behavior of thermally thick wood particlesen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.3303/CET1865019en
dcterms.bibliographicCitation.journaltitleChemical Engineering Transactionsen
dcterms.bibliographicCitation.originalpublishernameAIDICen
dcterms.bibliographicCitation.originalpublisherplaceMilanoen
dcterms.bibliographicCitation.pageend114en
dcterms.bibliographicCitation.pagestart109en
dcterms.bibliographicCitation.volume65en
tub.accessrights.dnbfreeen
tub.affiliationFak. 3 Prozesswissenschaften::Inst. Energietechnik::FG Energieverfahrenstechnik und Umwandlungstechniken regenerativer Energiende
tub.affiliation.facultyFak. 3 Prozesswissenschaftende
tub.affiliation.groupFG Energieverfahrenstechnik und Umwandlungstechniken regenerativer Energiende
tub.affiliation.instituteInst. Energietechnikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

Files

Original bundle
Now showing 1 - 1 of 1
Loading…
Thumbnail Image
Name:
Almuina-Villar_etal_Laser-based_2018.pdf
Size:
959.08 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.86 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections