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dc.contributor.authorLi, Tian
dc.contributor.authorSkreiberg, Øyvind
dc.contributor.authorLøvås, Terese
dc.contributor.authorGlarborg, Peter
dc.date.accessioned2019-07-16T08:14:48Z
dc.date.available2019-07-16T08:14:48Z
dc.date.created2019-05-30T07:58:34Z
dc.date.issued2019
dc.identifier.citationFuel. 2019, 254nb_NO
dc.identifier.issn0016-2361
dc.identifier.urihttp://hdl.handle.net/11250/2605453
dc.description.abstractEmission of nitrogen oxides (NOx) is a major challenge for combustion of solid fuels. Strategies for emission control can be developed from computational fluid dynamics (CFD) simulation. This, furthermore, requires a computational efficient kinetic model that is able to capture both formation and destruction of NOx in a wide range of conditions. In this work, three skeletal mechanisms with varying degrees of reduction were developed based on a detailed kinetics model proposed recently (148 species and 2764 reactions). By preserving all major reaction pathways of NO formation, the most comprehensive skeletal mechanism Li45 (45 species and 788 reactions) behaved very similar compared to the base mechanism with regard to the prediction of NO. The more compact skeletal mechanism Li37 (37 species and 303 reactions) was generated specifically for the conditions relevant to large scale industrial combustion of solid fuels. The Li37 mechanism is capable of predicting NO formation as well as simulating common measures of NOx reduction such as the staged combustion and selective non-catalytic reduction (SNCR). Without the consideration of SNCR, the smallest skeletal mechanism Li32 (32 species and 255 reactions) still maintained a good predictability over broad temperature and excess air ratio ranges. Compared to the base mechanism, the skeletal mechanisms achieved over 70% reduction in species. Furthermore, the computational cost was lowered to a large extent, particularly with Li37 and Li32. This makes the developed skeletal mechanisms very suitable to be implemented in CFD simulations.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S0016236119309135
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleSkeletal mechanisms for prediction of NOx emission in solid fuel combustionnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.journalFuelnb_NO
dc.identifier.doi10.1016/j.fuel.2019.05.152
dc.identifier.cristin1701509
dc.relation.projectNorges forskningsråd: 267916nb_NO
dc.relation.projectNorges forskningsråd: 267957nb_NO
dc.description.localcode© 2019 The Authors. Published by Elsevier Ltd. Open Access. Attribution 4.0 International (CC BY 4.0)nb_NO
cristin.unitcode194,64,25,0
cristin.unitnameInstitutt for energi- og prosessteknikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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