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Resumen
A two dimensional finite element model that predicts temperature distribution and moisture content of soybean stored in silo bags due to seasonal variation of climatic conditions is described. The model includes grain respiration and calculates carbon dioxide and oxygen concentrations during storage. The model validation was carried out by comparing predicted temperature, moisture content and gas concentration with measured data in field tests. [ver mas...]
dc.contributor.authorArias Barreto, Alien
dc.contributor.authorAbalone, Rita Mónica
dc.contributor.authorGastón, Analía Graciela Lucia
dc.contributor.authorOchandio, Dario Carlos
dc.contributor.authorCardoso, Marcelo Leandro
dc.contributor.authorBartosik, Ricardo Enrique
dc.date.accessioned2018-03-15T13:12:54Z
dc.date.available2018-03-15T13:12:54Z
dc.date.issued2017-06
dc.identifier.issn1537-5110
dc.identifier.otherhttps://doi.org/10.1016/j.biosystemseng.2017.03.009
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S1537511016303610#!
dc.identifier.urihttp://hdl.handle.net/20.500.12123/2027
dc.description.abstractA two dimensional finite element model that predicts temperature distribution and moisture content of soybean stored in silo bags due to seasonal variation of climatic conditions is described. The model includes grain respiration and calculates carbon dioxide and oxygen concentrations during storage. The model validation was carried out by comparing predicted temperature, moisture content and gas concentration with measured data in field tests. Overall, the model underpredicted grain temperatures. Mean absolute difference was 0.5–1 °C for the bottom and middle layers and about 1.5 °C for the top layer. A slight moisture increase (0.4% w.b. at most) was predicted for the top grain layer while moisture for the middle and bottom layers remained almost unchanged during the storage period. A model of respiration rate of soybean as a function of temperature, moisture content and O2 level was used to predicted gas concentrations in the interstitial air. Average CO2 and O2 concentrations were compared with measured data. As mean grain temperature was below 15 °C for most of the storage period, O2 consumption and CO2 production were low. O2 level was about 19–20% V/V for dry soybean (13% w.b.) and about 16–17% V/V for wet soybean (15% w.b.). Predicted CO2 concentration varied from 1% V/V for dry soybean (13% w.b.) to 2% V/V points for wet soybean (15% w.b.). Though CO2 relative differences were high, the general trends of measured gas evolution were compatible with the simulated ones, indicating that the changes in CO2 and O2 concentrations during storage were satisfactorily predicted by use of the proposed correlations.eng
dc.formatapplication/pdfeng
dc.language.isoeng
dc.rightsinfo:eu-repo/semantics/restrictedAccesseng
dc.sourceBiosystems engineering 158 : 23-37. (June 2017)eng
dc.subjectSojaes_AR
dc.subjectSoybeanseng
dc.subjectAlmacenamientoes_AR
dc.subjectStorageeng
dc.subjectGases
dc.subject.otherSilo bolsaes_AR
dc.titleValidation of a heat, moisture and gas concentration transfer model for soybean (Glycine max) grains stored in plastic bags (silo bags)es_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.description.origenEEA Balcarcees_AR
dc.description.filFil: Arias Barreto, Alien. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Física de Rosario; Argentinaes_AR
dc.description.filFil: Abalone, Rita Mónica. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Física de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo de Investigaciones; Argentinaes_AR
dc.description.filFil: Gastón, Analía Graciela Lucía. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Instituto de Física de Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Consejo de Investigaciones; Argentinaes_AR
dc.description.filFil: Ochandio, Dario Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentinaes_AR
dc.description.filFil: Cardoso, Marcelo Leandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentinaes_AR
dc.description.filFil: Bartosik, Ricardo Enrique. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.subtypecientifico


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