Abstract
Variations in ambient temperatures cause safe moisture contents of stored grain to become unsafe due to migration or redistribution of moisture within storage. This study uses a previously developed generalized numerical model of the moisture migration process, which can be used to predict the temperature, moisture, and natural convection air-flow distribution in stored grain. For the weather conditions of St. Paul, Minnesota, this numerical model is used to evaluate the effect of various bin geometries and grain parameters on the moisture migration behavior of stored corn and wheat. These predictions indicate that cooling of grain to 0° C during the fall season can keep grain moistures under stable conditions for the entire year. It also shows that moisture migration occurs in all sizes of bins and it starts developing earlier in the smaller bins.
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