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dc.contributor.authorReppich, Marcuscs
dc.contributor.authorJegla, Zdeněkcs
dc.contributor.authorGrondinger, Jakobcs
dc.contributor.authorAzouma, Yaovi Ouézoucs
dc.contributor.authorTurek, Vojtěchcs
dc.date.accessioned2021-12-06T15:52:02Z
dc.date.available2021-12-06T15:52:02Z
dc.date.issued2021-10-12cs
dc.identifier.citationCHEMIE INGENIEUR TECHNIK. 2021, vol. 93, issue 10, p. 1581-1589.en
dc.identifier.issn0009-286Xcs
dc.identifier.other172079cs
dc.identifier.urihttp://hdl.handle.net/11012/203076
dc.description.abstractThis study investigates the behavior of fruit and vegetable samples during drying. The experimental data are fitted to several different thin-layer drying models. Regression analysis is used to determine model parameters, while statistical indicators serve to evaluate the goodness of fit. The power function model gives the best fit for all examined samples. Based on this model, different drying and heat storage technologies can be combined to ensure that the required residual moisture content of an agricultural product is reached. It is demonstrated on the case of a specific Togolese processing plant that under favorable conditions, fossil fuel consumption can be decreased by 33 %.en
dc.formattextcs
dc.format.extent1581-1589cs
dc.format.mimetypeapplication/pdfcs
dc.language.isoencs
dc.publisherWiley-VCH GmbHcs
dc.relation.ispartofCHEMIE INGENIEUR TECHNIKcs
dc.relation.urihttps://onlinelibrary.wiley.com/doi/10.1002/cite.202100029cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectDryingen
dc.subjectEnergy savingen
dc.subjectFood processingen
dc.subjectMathematical modelingen
dc.titleMathematical modeling of drying processes of selected fruits and vegetablesen
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav procesního inženýrstvícs
sync.item.dbidVAV-172079en
sync.item.dbtypeVAVen
sync.item.insts2021.12.06 16:52:02en
sync.item.modts2021.12.06 16:13:29en
dc.coverage.issue10cs
dc.coverage.volume93cs
dc.identifier.doi10.1002/cite.202100029cs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/0009-286X/cs
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International