Validation of a heat, moisture and gas concentration transfer model for soybean ( Glycine max ) grains stored in plastic bags (silo bags)
| Autor: | Rita Abalone, Analía Gastón, Alien Airas Barreto, Darío Ochandio, L. Cardoso, Ricardo Bartosik |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0106 biological sciences
Soil Science MODIFIED ATMOSPHERE 01 natural sciences SOYBEAN MATHEMATICAL MODELLING Silo SILO BAG Transfer model HERMETIC STORAGE Plastic bag Hydrology Moisture Chemistry Agricultura 04 agricultural and veterinary sciences Gas concentration 010602 entomology Horticulture CIENCIAS AGRÍCOLAS Control and Systems Engineering Modified atmosphere 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Agricultura Silvicultura y Pesca Agronomy and Crop Science Food Science |
| Zdroj: | Biosystems Engineering. 158:23-37 |
| ISSN: | 1537-5110 |
| Popis: | 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. Overall, the model underpredicted grain temperatures. Mean absolute difference was 0.5 to 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 where 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. Fil: Airas Barreto, Alien. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina Fil: Abalone, Rita Monica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina Fil: Gaston, Analia Graciela Lucia. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Física de Rosario. Universidad Nacional de Rosario. Instituto de Física de Rosario; Argentina Fil: Ochandio, Darío. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce. Area de Invest.en Agronomia; Argentina Fil: Cardoso, Leandro. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce. Area de Invest.en Agronomia; Argentina Fil: Bartosik, Ricardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Sur. Estación Experimental Agropecuaria Balcarce. Area de Invest.en Agronomia; Argentina |
| Databáze: | OpenAIRE |
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