Stochastic Analysis of Grain Drying with Unheated Air Under Two Different Climates

Abstract

A stochastic analytical model of mass transfer was used to analyze processes of drying thin layers of grain ventilated with unheated air. As an excitation to the drying system, stochastic analytical models of variations in input air parameters during the post-harvest period of drying were used. Stochastic models were based on historical weather data of two different climates: the maritime climate of England, and the climate that is the mixture of continental and maritime climates. Changes in time of the mean and the standard deviation values of grain moisture content during drying were compared with statistical characteristics of input air parameters.

Keywords:

• Near-ambient drying
• Stochastic analytical models

ACKNOWLEDGEMENTS

The authors thank the Polish Ministry of Science and Information Society Technologies for funding of this study (project No 2 P06T 062 28). We also thank Dr. M.E. Nellist of Silsoe Research Institute, Silsoe, England, for the weather data set of Waddington provided some years ago.

Notes

*Taken from Ryniecki et al. ^[4]