Numerical investigation of low relative humidity aeration impact on the moisture content of stored wheat

被引:3
作者
Hammami F. [1 ]
Ben Mabrouk S. [1 ]
Mami A. [2 ]
机构
[1] Laboratory of Energy and Thermal Processes, Research and Technology Centre of Energy, CRTEn.P.B: 95, Hammam-Life
[2] Laboratory of Analysis, Conception and Control Systems, Faculty of Sciences of Tunis, Tunis El Manar
关键词
aeration; dehumidifier; moisture content; relative humidity; simulation; Wheat storage;
D O I
10.1142/S1793962317400025
中图分类号
学科分类号
摘要
High moisture content wheat kernels are subject to elevated respiration rates due to enzyme activity and mould growth that reduce the dry grain and may produce sufficient energy which may be harmful to wheat quality. Grain aeration provides a powerful nonchemical stored grain insect management. Currently, aeration is a suitable and economical device to overcome this problem. The moisture management is vital to prevent spoilage in stored grain. The objective of this study is to investigate the influence of using low relative humidity (RH) aeration on the wheat moisture content. The numerical investigation based on heat and mass balances is developed and used to simulate the evolution of grain temperature and moisture under various air RH in a wheat storage silo. Results show that the dehumidification of blown air had greater potential for decreasing RH of interstitial air and wheat moisture at 30°C temperature and RH of 40%, 50% and 60%. © 2017 World Scientific Publishing Company.
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  • [1] Carrera-Rodriguez M., Martinez-Gonzalez G.M., Navarrete-Bolanos J.L., Botello-Alvarez J.E., Rico-Martinez R., Jimenez-Islas H., Transient numerical study of the effect of ambient temperature on 2-D cereal grain storage in cylindrical silos, J. Stored Prod. Res., 47, pp. 106-122, (2011)
  • [2] Han F., Zuo C., Wu W., Li J., Liu Z., Model predictive control of the grain drying process, Math. Probl. Eng., pp. 11-22, (2012)
  • [3] Bourgeois F.S., Lyman G.J., Quantitative estimation of sampling uncertainties for mycotoxins in cereal shipments, Food Addit. Contam. A Chem. Anal. Control Exp. Risk Assess., 29, 7, pp. 1141-1156, (2012)
  • [4] Bruzzone A.G., Longo F., An advanced modeling & simulation tool for investigating the behavior of a manufacturing system in the hazelnuts industry sector, Int J. Food Eng., 9, 3, pp. 241-257, (2013)
  • [5] Gaston A., Abalone R., Bartosik R.E., Rodriguez J.C., Mathematical modeling of heat and moisture transfer of wheat stored in plastic bags (silo bags, Biosyst. Eng., 104, pp. 72-85, (2009)
  • [6] Thorpe G.R., The application of computational fluid dynamics codes to simulate heat and moisture transfer in stored grains, J. Stored Prod. Res., 44, pp. 21-31, (2008)
  • [7] Ghosh P.K., Jayas D.S., Smith E.A., Gruwel M.L.H., White N.D.G., Zhilkin P.A., Mathematical modeling of wheat kernel drying with input from moisture movement studies using magnetic resonance imaging (MRI), Part I: Model development comparison with MRI observations, Biosyst. Eng., 100, pp. 389-400, (2008)
  • [8] Li X., Cao Z., Wei Z., Feng Q., Wang J., Equilibrium moisture content and sorption isosteric heats of five wheat varieties in China, J. Stored Prod. Res., 47, pp. 39-47, (2011)
  • [9] Khiari B., Ben Mabrouk S., Sassi M., Modelling of heat and mass transfer in a tunnel dryer, Appl. Therm. Eng., 26, pp. 2110-2118, (2006)
  • [10] Lopes D.C., Martins J.H., Filho A.F.L., Melo E.C., Monteiro P.M.B., De Queiroz D.M., Aeration strategy for controlling grain storage based on simulation and on real data acquisition, Comput. Electron. Agric., 63, pp. 140-146, (2008)