Numerical Simulation of Rock-bed Solar Thrmal Storage Energy
DOI:
https://doi.org/10.51646/jsesd.v9i1.14Abstract
Solar dryers are increasingly being applied to dry fruits and vegetables in order to increase their shelf-lives. In the sunny-belt countries, the availability of solar irradiance is taken for granted and the mean daily solar irradiation is oftn used as the design basis for a solar dryer. Th predicted performance of the solar irradiance is therefore inherently inaccurate. Contemporary solar dryer designs incorporate thermal energy storage (TES) systems for application aftr sunset. Th performance of such TES systems is oftn determined experimentally. In this study, mathematical models have been developed and by numerical simulation using the technique of Finite Diffrential Method (FDM) and MATLAB programming, the performances of solar irradiance as well as that of the TES system have been predicted. Th simulation results were secured to inform the design of the solar dryer for fruits and vegetables in the sun-belt countries.
Downloads
Metrics
References
Schäfer, M. (2006). Computational engineering: Introduction to numerical methods (Vol. 321): Springer.
Amer, B., Hossain, M., and Gottschalk, K. (2010). Design and performance evaluation of a new hybrid solar dryer: for banana. Energy Conversion and Management, 51(4), 813-820.
Kalogirou, S. A. (2013). Solar energy engineering: processes and systems: Academic Press
Dincer, I. (1999). Evaluation and selection of energy storage systems: for solar thermal applications. International Journal of Energy Research, 23(12), 1017-1028.
Hussein, J., Filli, K., & Oke, M. (2016). Thin layer modelling of hybrid, solar and open sun drying of tomato slices. Research Journal of Food Science and Nutrition, 1, 15-27.
Janjai, S. (2012a). A greenhouse type solar dryer for small-scale dried food industries: development and dissemination. International Journal of energy and environment, 3, 383-398.
Janjai, S. (2012b). A greenhouse type solar dryer for small-scale dried food industries: development and dissemination.
Sadodin, S. and Kashani, T. (2011). Numerical investigation of a solar greenhouse tunnel drier for drying of copra arXiv prepr int arXiv: 1102 .4522
Houhou, H., Yuan, W., & Wang, G. (2017). Simulation of Solar Heat Pump Dryer Directly Driven by Photovoltaic Panels, a paper presented at the IOP Conference Series: Earth and Environmental Science.
Gordon, C. and Thorne, S. (1990). Determination of the thermal diffusivity of foods: from temperature measurements during cooling. Journal of Food engineering, 11(2), 133-145.
Chauhan, P. S., Kumar, A. and Tekasakul, P. (2015). Applications of software in solar drying systems: A review. Renewable and Sustainable Energy Reviews, 51, 1326-1337.
Handbook, A. (2007). Heating, ventilating, and air-conditioning applications. Atlanta (GA): ASHRAE, 359.
Leon, M. A., Kumar, S., & Bhattacharya, S. (2002). A comprehensive procedure: for performance evaluation of solar food dryers. Renewable and Sustainable Energy Reviews, 6(4), 367-393.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Solar Energy and Sustainable Development Journal
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.