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STOCHASTIC MODELING OF GRAIN TEMPERATURE IN NEAR-AMBENT DRYING

 

作者: A. Ryniecki,   D.S. Jayas,  

 

期刊: Drying Technology  (Taylor Available online 1992)
卷期: Volume 10, issue 1  

页码: 123-137

 

ISSN:0737-3937

 

年代: 1992

 

DOI:10.1080/07373939208916417

 

出版商: Taylor & Francis Group

 

关键词: stochastic analytical modeling;random differential equations;near-ambient grain drying;weather data;thin-layer

 

数据来源: Taylor

 

摘要:

Stochastic analytical model was developed to describe the heat transfer in a thin layer of grain ventilated with ambient air. As an excitation to the drying system, a stochastic analytical model of ambient air temperature variations during the period of drying, based on a sine function, was used. Mean, correlation function, variance and the standard deviation were determined for air and grain temperature, both treated as random processes. The stochastic model of air temperature variation was fitted to the observed historical data. The effect of the standard deviation of air temperature of the three different climates (Canadian in Winnipeg, Polish in Poman and English in Weddington) on the standard deviation of grain temperature is shown.

 

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