Show simple item record

dc.contributor.authorSan José Álvarez, María José
dc.contributor.authorÁlvarez Pérez, Sonia
dc.contributor.authorLópez San José, Raquel Celina
dc.date.accessioned2024-04-29T15:24:49Z
dc.date.available2024-04-29T15:24:49Z
dc.date.issued2024-03
dc.identifier.citationPowder Technology 436 : (2024) // Article ID 119455es_ES
dc.identifier.issn0032-5910
dc.identifier.issn1873-328X
dc.identifier.urihttp://hdl.handle.net/10810/66914
dc.description.abstractTo analyze the performance of a conical spouted bed dryer for the valorization of wine-production waste (grape skins, seeds, and stalks) in a jet-spouted-bed regime (dilute spouted bed), the operating conditions in the jet and spouted-bed regimes were delimited for comparison. Drying was conducted at different air temperatures and velocities in both regimes, and the time evolution of the gas humidity and solid moisture content was monitored to obtain the most appropriate conditions for drying. An artificial neural network was trained to predict the time evolution of gas humidity in both regimes in a conical spouted bed dryer. From these data, the solid moisture content was determined using differential mass and heat balances, considering equal temperatures in the gas and solid phases. Finally, the fitting of the experimental results of the solid moisture content demonstrates the validity of drying tracking from the time evolution of the air humidity.es_ES
dc.description.sponsorshipThis work is part of the project Grant PID2021-126331OB-I00 funded by MCIN/AEI/10.13039/501100011033 and by ERDF A way of making Europe and project Grant TED2021-130150B-I00. MCIN/AEI was funded by MCIN/AEI/10.13039/501100011033 and the EU NextGenerationEU/PRTR. The University of the Basque Country (UPV/EHU) provided open-access funding.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/PID2021-126331OB-I00es_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/TED2021-130150B-I00es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectconical spouted bed dryeres_ES
dc.subjectdrying jet-spouted-bed performancees_ES
dc.subjectdrying modeles_ES
dc.subjectneural networkes_ES
dc.subjectjet-spouted bed (dilute spouted bed)es_ES
dc.subjectwinery wastees_ES
dc.titleJet-spouted bed in conical contactor for winery waste dryinges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by- nc-nd/4.0/).es_ES
dc.rights.holderAtribución-NoComercial-SinDerivadas 3.0 España*
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0032591024000974es_ES
dc.identifier.doi10.1016/j.powtec.2024.119455
dc.departamentoesIngeniería químicaes_ES
dc.departamentoeuIngeniaritza kimikoaes_ES


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-
nc-nd/4.0/).
Except where otherwise noted, this item's license is described as 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by- nc-nd/4.0/).