Computational Fluid Dynamic Modeling and Simulation of Red Chili Solar Cabinet Dryer
- 35 Downloads
Red chilies are important sources of nutrients for human diet. It is known that improper handling of the produces causes a significant loss. Drying is a primary and suitable preservation system of chili products before storage to minimize mold/mycotoxin development. This study investigates the potential of solar cabinet chili dryer through rigorous computational fluid dynamic modeling by considering red chili as porous media. The k-ε turbulence model was utilized to effectively predict the uniformity of drying air velocity, pressure and mass transfer. It was found that the CFD simulation gives accurate prediction of the drying air and velocity and pressure distribution in each tray at inlet air velocity of 1.5 m/s. The solar absorber temperature was reached up to 54 °C and the drying chamber temperature was in the range of 34–38 °C. The performance of the dryer was very promising to keep the quality of the dried red chili products.
KeywordsSolar cabinet dryer Red chili CFD modeling Moisture transfer
The research fund was granted from Bahir Dar Energy Center, Bahir Dar Institute of technology, Bahir Dar University, Ethiopia.
- 1.Demissie, T., Ali, A., Zerfu, D.: Availability and consumption of fruits and vegetables in nine regions of Ethiopia with special emphasis to vitamin A deficiency. Ethiop. J. Health Dev. 23, 217–223 (2010)Google Scholar
- 2.Hailu, G., Derbew, B.: Extent, causes and reduction strategies of postharvest losses of fresh fruits and vegetables − a review. J. Biol. Agric. Healthc. 5, 49–64 (2015)Google Scholar
- 3.C. S. A. (CSA) (2015/2016): Agricultural Sample Survey 2015/2016, vol. 1, Report on Area and Production of Major Crops, Addis Ababa (2016)Google Scholar
- 8.Aukah, J., Muvengei, M.: Simulation of drying uniformity inside hybrid solar biomass dryer using ANSYS CFX. In: Sustainable Research, pp. 336–344 (2015)Google Scholar
- 10.Charrondiere, U.R., Haytowitz, D., Stadlmayr, B.: FAO/ INFOODS Databases: Density Database Version 2.0, Database (2012)Google Scholar
- 12.Ergun, S.: Fluid flow through packed columns. Chem. Eng. Prog. 48, 89–94 (1952)Google Scholar