Skip to main content

Computational Fluid Dynamic Modeling and Simulation of Red Chili Solar Cabinet Dryer

  • Conference paper
  • First Online:
Advances of Science and Technology (ICAST 2019)

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  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 

  4. Defraeye, T.: Advanced computational modelling for drying processes - a review. Appl. Energy 131, 323–344 (2014)

    Article  Google Scholar 

  5. Xia, B., Sun, D.-W.: Applications of computational fluid dynamics (CFD) in the food industry: a review. Comput. Electron. Agric. 34, 5–24 (2002)

    Article  Google Scholar 

  6. Sanghi, A., Ambrose, R.P.K., Maier, D.: CFD simulation of corn drying in a natural convection solar dryer. Drying Technol. 36(7), 859–870 (2018)

    Article  Google Scholar 

  7. Demissie, P., Hayelom, M., Kassaye, A., Hailesilassie, A., Gebrehiwot, M., Vanierschot, M.: Design, development and CFD modeling of indirect solar food dryer. Energy Procedia 158, 1128–1134 (2019)

    Article  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 

  9. Cârlescu, P.M., Arsenoaia, V., Roşca, R., Ţenu, I.: CFD simulation of heat and mass transfer during apricots drying. LWT - Food Sci. Technol. 85, 479–486 (2017)

    Article  Google Scholar 

  10. Charrondiere, U.R., Haytowitz, D., Stadlmayr, B.: FAO/ INFOODS Databases: Density Database Version 2.0, Database (2012)

    Google Scholar 

  11. Tegenaw, P.D., Gebrehiwot, M.G., Vanierschot, M.: On the comparison between computational fluid dynamics (CFD) and lumped capacitance modeling for the simulation of transient heat transfer in solar dryers. Sol. Energy 184, 417–425 (2019)

    Article  Google Scholar 

  12. Ergun, S.: Fluid flow through packed columns. Chem. Eng. Prog. 48, 89–94 (1952)

    Google Scholar 

  13. Fudholi, A., Sopian, K., Yazdi, M.H., Ruslan, M.H., Gabbasa, M., Kazem, H.A.: Performance analysis of solar drying system for red chili. Sol. Energy 99, 47–54 (2014)

    Article  Google Scholar 

  14. Bennamoun, L., Belhamri, A.: Study of heat and mass transfer in porous media: application to packed-bed drying. FDMP 4(4), 221–230 (2008)

    MATH  Google Scholar 

Download references

Acknowledgement

The research fund was granted from Bahir Dar Energy Center, Bahir Dar Institute of technology, Bahir Dar University, Ethiopia.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eshetu Getahun .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Getahun, E., Vanierschot, M., Gabbiye, N., Delele, M.A., Workneh, S., Gebreslasie, M. (2020). Computational Fluid Dynamic Modeling and Simulation of Red Chili Solar Cabinet Dryer. In: Habtu, N., Ayele, D., Fanta, S., Admasu, B., Bitew, M. (eds) Advances of Science and Technology. ICAST 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 308. Springer, Cham. https://doi.org/10.1007/978-3-030-43690-2_45

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-43690-2_45

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-43689-6

  • Online ISBN: 978-3-030-43690-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics