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Abstract
This paper presents the development of a mathematical model of an indirect solar air dryer and its numerical simulation using the COMSOL Multiphysics software package. The study employs Computational Fluid Dynamics (CFD) methods to analyze the heat and mass transfer processes, airflow behavior, and temperature distribution within the dryer. Temporal variations in solar radiation and ambient temperature were incorporated into the model using interpolation functions. The simulation results showed that natural convection inside the dryer creates a stable airflow pattern, while the highest temperatures are observed between 11:00 and 14:00. Furthermore, the analysis revealed that the temporal variations of the Reynolds, Prandtl, and Nusselt numbers are directly related to the intensity of solar radiation and heat transfer processes. The obtained results have significant scientific and practical value for improving the design parameters of solar dryers and advancing energy-efficient drying technologies.
References
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