Título:
Numerical simulation of a solar wood dryer
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Autor:
Corzo, Santiago
Villemur, Juan
Pienika, Rodolfo
Galione, Pedro
Villemur, Juan
Pienika, Rodolfo
Galione, Pedro
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Tipo de documento:
Preprint
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Palabras clave:
Solar kilns
Wood dryer
Airflow characterization
Computational Fluid Dynamics
OpenFOAM
Wood dryer
Airflow characterization
Computational Fluid Dynamics
OpenFOAM
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Año de publicación:
2025
Contenido:
Resumen:
This article addresses a comprehensive analysis of the fluid dynamics in an Oxford-type
solar kiln for wood drying. The work focused on a solar dryer located in Tacuarembó (Uruguay) and the
approach is both experimental and numerical. A detailed analysis of the internal fluid dynamics in this
type of kiln is essential to improve drying efficiency and avoid heterogeneous drying, which can lead to
defects such as wood warping and reduced mechanical properties. It is well known and widely analyzed
in the literature that ensuring homogeneous flow in the wood castle is crucial to avoid these problems.
To address these challenges, an experimental analysis was performed to characterize the flow behavior
inside the kiln. Additionally, numerical simulations were performed with OpenFOAM, incorporating a
fan model based on data provided by the manufacturer. A rigorous mesh convergence study validated the
numerical results with experimental measurements. The simulations revealed key flow characteristics,
including stagnation zones, recirculation areas, flow diversion around the stack, and flow heterogeneity
within the stack. Potential modifications to the furnace design are proposed to improve flow uniformity
and minimize air diversion, leading to improved dryer performance.
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Citación:
Corzo, S., Villemur, J., Pienika, R. y otros. Numerical simulation of a solar wood dryer [Preprint] Publicado en: Drying Technology, set. 2025, pp.1–14. DOI : https://doi.org/10.1080/07373937.2025.2554870.
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Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| Principal CVPG25.pdf | Preprint | 28.4 MB | Adobe PDF |