Abstract
Seasonal fluctuations in atmospheric temperature change the temperature pattern throughout stored grain. This may cause grains in certain areas to become vulnerable to insect infestation. A stable and convergent finite difference model has been developed to assess the grain temperatures in storage bins with respect to ambient air temperature fluctuations throughout a storage period. The model has been programmed in BASIC, compatible with micromputers, thus requiring less time for computer simulation of temperatures. The simulated results have been compared with experimental results and good agreements have been observed. This model can be used in the selection of geographical locations for storage bins, the design of non-aerated tall storage structures and for advice on ventilation of storage buildings.
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