dc.contributor.author | San José Álvarez, María José | |
dc.contributor.author | Álvarez Pérez, Sonia | |
dc.contributor.author | López San José, Raquel Celina | |
dc.date.accessioned | 2024-04-29T15:24:49Z | |
dc.date.available | 2024-04-29T15:24:49Z | |
dc.date.issued | 2024-03 | |
dc.identifier.citation | Powder Technology 436 : (2024) // Article ID 119455 | es_ES |
dc.identifier.issn | 0032-5910 | |
dc.identifier.issn | 1873-328X | |
dc.identifier.uri | http://hdl.handle.net/10810/66914 | |
dc.description.abstract | To 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.sponsorship | This 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.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/PID2021-126331OB-I00 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/TED2021-130150B-I00 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | conical spouted bed dryer | es_ES |
dc.subject | drying jet-spouted-bed performance | es_ES |
dc.subject | drying model | es_ES |
dc.subject | neural network | es_ES |
dc.subject | jet-spouted bed (dilute spouted bed) | es_ES |
dc.subject | winery waste | es_ES |
dc.title | Jet-spouted bed in conical contactor for winery waste drying | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | 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/). | es_ES |
dc.rights.holder | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0032591024000974 | es_ES |
dc.identifier.doi | 10.1016/j.powtec.2024.119455 | |
dc.departamentoes | Ingeniería química | es_ES |
dc.departamentoeu | Ingeniaritza kimikoa | es_ES |