E. Kaloudis 1 , S. Bantas 1 , V. Sotiroudas 1 and C.G. Athanassiou 2 Predictions of Stored Grain Condition using Computational Fluid Dynamics Modelling TM NC-213 The U.S. Quality Grains Research Consortium 1 Centaur Analytics, Inc., [email protected]2 Laboratory of Entomology and Agricultural Zoology, University of Thessaly, Greece February 27, 2019
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E. Kaloudis1, S. Bantas1, V. Sotiroudas1 and C.G. Athanassiou2
Predictions of Stored Grain Condition using Computational
Fluid Dynamics Modelling
TM
NC-213 The U.S. Quality Grains Research Consortium
1Centaur Analytics, Inc., [email protected] of Entomology and Agricultural Zoology, University of Thessaly, Greece
Abiotic:• Dust & foreign material• Intergranular air• Water vapor• Storage structure• Aeration system
Computational Fluid Dynamics (CFD)
Using numerical analysis to predict the movement of fluids, heat and mass transfer
Industry applications:Aerospace, Automotive, Heat exchangers, Weather forecast, Biomedical
Advantages:• Detailed analysis of physical phenomena• Analysis of the entire storage space• Geo-location specific• Historical weather data and/or forecasts can
be used to simulate and/or predict the grain condition
• Boeotia, Greece• storage period: Aug to Sept. 2018• steel silo• H=9.5m/31ft, D=10m/33ft• durum wheat, 500 tons• fill ratio = 80.6%• multiple areas of different