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Computer simulation of temperature changes in a wheat storage bin.

Jia1, Sun, Cao

  • 1Department of Agricultural and Food Engineering, University College Dublin, National University of Ireland, Earlsfort Terrace, Dublin 2, Ireland

Journal of Stored Products Research
|December 22, 2000
PubMed
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This study presents a mathematical model for grain temperature in storage bins. Simulation shows high temperatures occur in the center, bottom, and top, necessitating ventilation for effective grain storage.

Area of Science:

  • Agricultural Engineering
  • Food Science
  • Mathematical Modeling

Background:

  • Grain storage is crucial for food security, but temperature fluctuations can lead to spoilage and quality degradation.
  • Understanding transient temperature distribution within grain bins is essential for developing effective storage management strategies.
  • Existing methods for monitoring and controlling grain temperature may be insufficient or rely on chemical treatments.

Purpose of the Study:

  • To develop and solve a mathematical model for transient temperature distribution in a cylindrical grain storage bin.
  • To simulate and analyze temperature changes in wheat stored in a bin using meteorological data from temperate China.
  • To identify critical areas of high temperature accumulation and assess the necessity of ventilation.

Main Methods:

Related Experiment Videos

  • Development of a mathematical model for transient temperature distribution with mixed boundary conditions.
  • Solution of the model using the finite element method (FEM).
  • Simulation of wheat temperature changes using typical meteorological data from temperate China.

Main Results:

  • High temperature accumulation areas were consistently identified in the bin center, near the bin bottom, and at the top surface throughout the year.
  • Simulations demonstrated the dynamic nature of temperature changes within the grain mass.
  • The results underscore the importance of ventilation for maintaining optimal grain storage conditions.

Conclusions:

  • Ventilation is necessary under appropriate weather conditions to manage grain temperature effectively.
  • The developed mathematical model and simulation method can be used to design and evaluate aeration control strategies.
  • Implementing such strategies can reduce the reliance on chemical treatments for grain preservation during storage.