The Use of Uncertainty Quantification and Numerical Optimization to Support the Design and Operation Management of Air-Staging Gas Recirculation Strategies in Glass Furnaces

datacite.relatedItem.firstPage76
datacite.relatedItem.issue2
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2311-5521
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datacite.relatedItem.titleFluids
datacite.relatedItem.volume8
dc.contributor.authorCarlo Cravero
dc.contributor.authorDavide De Domenico
dc.contributor.authorDavide Marsano
dc.date.accessioned2025-04-16T12:10:15Z
dc.date.available2025-04-16T12:10:15Z
dc.date.issued2023
dc.identifier.doihttps://doi.org/10.3390/fluids8020076
dc.identifier.otherjz000103-0077
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/16634
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc530
dc.titleThe Use of Uncertainty Quantification and Numerical Optimization to Support the Design and Operation Management of Air-Staging Gas Recirculation Strategies in Glass Furnaces
dc.typeArticle
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