Experimental and numerical research on squat silo and large size horizontal warehouse during quasi-steady-state storage
Keywords:
squat silo, large size horizontal warehouse, porous media model, solar radiation model, three dimensional numerical model, grain temperature, quasi-steady-state storageAbstract
Abstract: Traditional method to prevent stored grain from deterioration is to control grain temperature. A three dimensional (3-D) numerical model was established to study the temperature variation in outdoor squat silo and large size horizontal warehouse at quasi-steady-state. In this research, porous media model and solar radiation model were adopted. Numerical and experimental results showed that grain temperature was influenced by temperature of wall, height of grain and the distance between grain and the wall. Temperature changes dramatically at the top layer of grain heap due to solar radiation and heat convection at air layer. Temperature of grain close to wall increased with the increasing of ambient temperature. The model established in this research is suitable for predicting grain temperature in outdoor squat silo and large size horizontal warehouse. Keywords: squat silo, large size horizontal warehouse, porous media model, solar radiation model, three dimensional numerical model, grain temperature, quasi-steady-state storage DOI: 10.3965/j.ijabe.20160906.1729 Citation: Ren G Y, Liu Y A, Peng W, Duan X, Zhang L D. Experimental and numerical research on squat silo and large size horizontal warehouse during quasi-steady-state storage. Int J Agric & Biol Eng, 2016; 9(6): 214-222.References
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[25] Barreto A A, Abalone R, Gaston A. Mathematical modeling of momentum, heat and mass transfer in grains stored in silos. Part I: Model development and validation. Latin American Applied Research, 2013; 43: 377–384.
[26] Zhang L D, Chen X, Liu H, Peng W, Zhang Z J, Ren G Y. Experiment and simulation research of storage for small grain steel silo. Int J Agric & Biol Eng, 2016; 9(3): 170–178.
[2] Barreto A A, Abalone R, Gastón A, Bartosik R. Analysis of storage conditions of a wheat silo-bag for different weather conditions by computer simulation. Biosystems Engineering, 2013; 116(4): 497–508.
[3] Horabik J, Molenda M, Montross M D, Ross I J, Kobylka R. Experimental studies and modeling of grain silo loads: Trends in Agricultural Engineering, 2013. Available: http://www.obalkyknih.cz/file/toc/70806/pdf. Accessed on [2015-03-06].
[4] Silva L C, Queiroz D M, Flores R A, Melo E C. A simulation toolset for modeling grain storage facilities. Journal of Stored Products Research, 2012; 48(48): 30–36.
[5] Ceseviciene J, Masauskiene A. The variation of technological properties of stored winter wheat grain. Zemdirbyste-Agriculture, 2009, 96(1): 154–169.
[6] Lawrence J, Maier D E. Prediction of temperature distributions in peaked, leveled and inverted cone grain mass configurations during aeration of corn. Applied Engineering in Agriculture, 2012, 28(5): 685–692.
[7] Wang G, Liu S C, Wen Q, Zhao H, Zhao Y. Research on granary temperature network monitoring system based on the linear frequency shift of spectrum. Spectroscopy and Spectral Analysis, 2013, 33(4): 1146–1150.
[8] Yan H, Chen G N, Zhou Y G, Liu L J. Primary study of temperature distribution measurement in stored grain based on acoustic tomography. Experimental Thermal and Fluid Science, 2012, 42(5): 55–63.
[9] Zhang F, Zhou H, Zhou X, Liao Q. Simulation of temperature measurement system for grain storage based on ZigBee technology. IEEE International Conference on Computer Science and Information Technology. IEEE, 2009: 10–13.
[10] Barreto A A, Abalone R, Gaston A. Mathematical modeling of momentum, heat and mass transfer in grains stored in silos, Part II: Model application. Latin American Applied Research, 2013; 43(4): 385–391.
[11] Ji Y L, Ma X M, Xi L, Yu H, Zhang H, Che Y C. Research on a safe wheat storage monitoring and prediction system. New Zealand Journal of Agricultural Research, 2007; 50(50): 673–678.
[12] Carrera-Rodríguez M, Martínez-González G M, Navarrete- Bolaños J L, Botello-Álvarez J E, Rico-Martínez R, Jiménez-Islas H. Transient numerical study of the effect of ambient temperature on 2-D cereal grain storage in cylindrical silos. Journal of Stored Products Research, 2011; 47(2): 106–122.
[13] Carrera-Rodriguez M, Martinez-Gonzalez G M, Navarrete- Bolanos J L, Botello-Alvarez J E, Rico-Martinez R, Jimenez-Islas H. Numerical study of the effect of the environmental temperature in the natural two-dimensional convection of heat in grain stored at cylindrical silos. Neurosurgical Focus, 2014, 37(37): 77–91.
[14] Martins M A. Three-dimensional modeling and simulation of heat and mass transfer processes in porous media: an application for maize stored in a flat bin. Drying Technology, 2013; 31(10): 1099–1106.
[15] Khatchatourian O A, Binelo M O. Simulation of three-dimensional airflow in grain storage bins. Biosystems Engineering, 2008; 101(2): 225–238.
[16] Khatchatourian O A, Binelo M O, Lima R F D. Simulation of soya bean flow in mixed-flow dryers using DEM. Biosystems Engineering, 2014; 123(123): 68–76.
[17] Ambaw A, Verboven P, Delele M A, Defraeye T, Tijskens E, Schenk A M, et al. CFD-based analysis of 1-MCP distribution in commercial cool store rooms: porous medium model application. Food and Bioprocess Technology, 2014; 7(7): 1903–1916.
[18] Pereira G G, Prakash M, Cleary P W. SPH modelling of fluid at the grain level in a porous medium. Applied Mathematical Modelling, 2011, 35(4): 1666–1675.
[19] Jian F, Jayas D S, White N D G. Temperature fluctuations and moisture migration in wheat stored for 15 months in a metal silo in Canada. Journal of Stored Products Research, 2009; 45(2): 82–90.
[20] Lawrence J, Maier D E, Hardin J, Jones C L. Development and validation of a headspace model for a stored grain silo filled to its eave. Journal of Stored Products Research, 2012; 49: 176–183.
[21] Yuan F, Li X D, Song Y H. The research of squat silos dynamic pressure and eccentric discharge trial. In: Zhao S, Xie Y M, Liu H, Gao D, editors. Civil Engineering Architecture and Sustainable Infrastructure Ii, Pts 1 and 2; 2013. pp. 612–618.
[22] Zhu Y Z, Meng S P, Sun W W, Wang W, Feng Y L, Jin C H. Distribution of lateral pressure in large diameter squat silos under eccentric discharge. Applied Mechanics & Materials, 2012; 226-228: 1420–1425.
[23] Yuan F, Dong C Y, Song Y H, Zhang S S. Particle flow simulation for large diameter squat silos eccentric discharge. Applied Mechanics & Materials, 2011, 99-100: 1106–1112.
[24] Shao X, Zhang W X. Two mechods to get lateral pressure of bulk material on squat silo. Applied Mechanics & Materials, 2010, 29-32: 1390–1395.
[25] Barreto A A, Abalone R, Gaston A. Mathematical modeling of momentum, heat and mass transfer in grains stored in silos. Part I: Model development and validation. Latin American Applied Research, 2013; 43: 377–384.
[26] Zhang L D, Chen X, Liu H, Peng W, Zhang Z J, Ren G Y. Experiment and simulation research of storage for small grain steel silo. Int J Agric & Biol Eng, 2016; 9(3): 170–178.
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Published
2016-12-02
How to Cite
Guangyue, R., Yanan, L., Wei, P., Xu, D., & Ledao, Z. (2016). Experimental and numerical research on squat silo and large size horizontal warehouse during quasi-steady-state storage. International Journal of Agricultural and Biological Engineering, 9(6), 214–222. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/1729
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Agro-product and Food Processing Systems
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