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dc.creatorBelošević, Srđan V.
dc.creatorSijerčić, Miroslav
dc.creatorCrnomarković, Nenad
dc.creatorStanković, Branislav
dc.creatorTucaković, Dragan
dc.date.accessioned2022-09-19T16:17:28Z
dc.date.available2022-09-19T16:17:28Z
dc.date.issued2009
dc.identifier.issn0887-0624
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/912
dc.description.abstractIn optimization of a utility boiler furnace operation, special attention is given to the flame geometry and position. As an illustration of possibilities for application of mathematical prediction and numerical experiment in efficient optimization of the flame, the paper presents selected results of simulations of processes in pulverized coal tangentially Fired furnace of Kostolac-B 350 MW electric boiler unit, To analyze the furnace working under different conditions, a differential 3D mathematical model of two-phase turbulent reactive flow with heat and mass transfer and corresponding computer code have been developed. Using the model and the code, previously carefully verified and validated against field measurements, an extensive numerical study has been performed to investigate the dependence of the furnace flame characteristics oil different operating conditions, including distribution of the coal, air flow rates, and particle size classes over the burner tiers, as well as the quality and grinding fineness of coal and the operation scheme of the coal mills. The numerical predictions of the flame characteristics enable a specific tool for optimization of the boiler unit with respect to efficiency and ecology.en
dc.publisherAmer Chemical Soc, Washington
dc.relationinfo:eu-repo/grantAgreement/MESTD/MPN2006-2010/18007/RS//
dc.relationElectric Power Industry of Serbia
dc.rightsrestrictedAccess
dc.sourceEnergy & Fuels
dc.titleNumerical Prediction of Pulverized Coal Flame in Utility Boiler Furnacesen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage5412
dc.citation.issue11
dc.citation.other23(11): 5401-5412
dc.citation.rankM21
dc.citation.spage5401
dc.citation.volume23
dc.identifier.doi10.1021/ef9005737
dc.identifier.scopus2-s2.0-73249145868
dc.identifier.wos000272700200013
dc.type.versionpublishedVersion


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