Abstract
Solar food drying is a well-established food-conserving process in India. Various researchers had developed solar dryer models which were usually validated using experimental observations and numerical simulation processes that are time-consuming and money-consuming. Computational fluid dynamics (CFD) simulation software facilitates the simulation of the models and gives same results in a comparatively small frame of time. This research paper is focused on CFD simulation, validation of design, energy analysis and numerical computation for domestic direct-type solar dryer for which experimental observations were performed at Ludhiana in November 2006. The design and simulation of the domestic direct-type multi-shelf dryer at no load condition are performed using ANSYS Fluent 14.0 software. The temperature of the air inside the dryer is found to be 326 K, which validates the design and purpose of the domestic direct-type multi-shelf dryer. The embodied energy of the constituents used in the construction of dryer is obtained as 339.015 kWh, and the energy payback time and carbon credit are found to be 7.57 years and INR 2055, respectively. The convective heat transfer coefficient for the dryer varies from 2.4 to 2.8 W m−2 °C−1. Coefficient of determination is estimated to be 0.98 under no load condition which shows the fare agreement between predicted and experimental value.
Similar content being viewed by others
Abbreviations
- a :
-
Coefficient of absorption
- s :
-
Direction vector of sun
- r :
-
Position vector
- \(\sigma_{\text{s}}\) :
-
Scattering coefficient
- s′:
-
Scattering direction vector
- I :
-
Radiation intensity
- n :
-
Refractive index
- σ :
-
Stefan–Boltzmann constant
- \(\phi\) :
-
Phase function
- T :
-
Local temperature
- \(\Omega ^{{\prime }}\) :
-
Solid angle
- I :
-
Solar radiation intensity in W m−2
- \(\tau\) :
-
Transitivity
- α :
-
Absorptivity
- \(T_{\text{S}}\) :
-
Maximum stagnation temperature
- \(T_{\text{a}}\) :
-
Ambient temperature
- E d :
-
Daily thermal output for the dryer
- \(\eta_{\text{d}}\) :
-
Daily efficiency of system
- M :
-
Mass of evaporated moisture in kg
- Λ :
-
Latent heat of vaporisation
- E in :
-
Daily input energy
- N d :
-
Number of sunshine days in a year for a crop
- I m (t):
-
Mean incident solar radiation on the solar dryer in W m−2
- A :
-
Aperture area of solar dryer
- N hr :
-
Daily sunshine hours
- E an :
-
Annual thermal output
- X :
-
Total CO2 mitigation from the system
- D c :
-
Price of carbon credit
- \(\eta_{\text{ith,dryer}}\) :
-
Instantaneous thermal loss efficiency factor
- h cvt :
-
Convective heat transfer coefficient
- \(\eta_{\text{ith,holes}}\) :
-
Loss of instantaneous thermal loss efficiency from the holes
- \(C_{\text{df}}\) :
-
Coefficient of diffusion
- \(Q_{\text{hlf}}\) :
-
Heat loss factor
- T ab :
-
Absorber plate temperature
- T sc :
-
Dryer cabinet temperature
- ∆P :
-
Partial pressure of air
- Ρ :
-
Density of air
- P (T):
-
Saturated vapour pressure of air at temperature T
- A h :
-
Area of holes
- A t :
-
Area of heat wall
- n :
-
Number of holes in the dryer
- I g :
-
Global solar radiation intensity
- X :
-
Peak temperature inside dryer
- S:
-
Stagnation
- a:
-
Ambient
- d:
-
Daily
- in:
-
Input
- m:
-
Mean
- hr:
-
Hours
- an:
-
Annual
- cvt:
-
Convective
- th:
-
Thermal
- df:
-
Diffusion
- ab:
-
Absorber
- h:
-
Holes
- g:
-
Global
- p:
-
Predicted value
- e:
-
Experimental value
References
Prakash O, Kumar A, Sharaf-Eldeen YI. Review on Indian solar drying status. Curr Sustain Energy Rep. 2016;3:113–20. https://doi.org/10.1007/s40518-016-0058-9.
Prakash O, Kumar A. Historical review and recent trends in solar drying systems. Int J Green Energy. 2013;10:690–738. https://doi.org/10.1080/15435075.2012.727113.
Sunil Varun, Sharma N. Experimental investigation of the performance of an indirect-mode natural convection solar dryer for drying fenugreek leaves. J Therm Anal Calorim. 2014;118:523–31. https://doi.org/10.1007/s10973-014-3949-2.
Ambesange AI, Kusekar SK. Analysis of flow through solar dryer duct using CFD. Int J Eng Dev Res. 2017;5:534–52.
Romero VM, Cerezo E, Garcia MI, Sanchez MH. Simulation and validation of vanilla drying process in an indirect solar dryer prototype using CFD Fluent program. Energy Proc. 2014;57:1651–8. https://doi.org/10.1016/j.egypro.2014.10.156.
Mathioulakis E, Karathanos VT, Belessiotis VG. Simulation of air movement in a dryer by computational fluid dynamics: application for the drying of fruits. J Food Eng. 1998;36:183–200. https://doi.org/10.1016/S0260-8774(98)00026-0.
Papade CV, Boda MA. Design and development of indirect type solar dryer with energy storing material. Int J Innov Res Adv Eng. 2014;1:2349–63.
Sonthikun S, Chairat P, Fardsin K, et al. Computational fluid dynamic analysis of innovative design of solar-biomass hybrid dryer: an experimental validation. Renew Energy. 2016;92:185–91. https://doi.org/10.1016/j.renene.2016.01.095.
Singh PP, Singh S, Dhaliwal SS. Multi-shelf domestic solar dryer. Energy Convers Manag. 2006;47:1799–815. https://doi.org/10.1016/j.enconman.2005.10.002.
Ghaffari A, Mehdipour R. Modeling and improving the performance of cabinet solar dryer using computational fluid dynamics. Int J Food Eng. 2015;11:157–72. https://doi.org/10.1515/ijfe-2014-0266.
Shrivastava V, Kumar A. Embodied energy analysis of the indirect solar drying unit. Int J Ambient Energy. 2017;38:280–5. https://doi.org/10.1080/01430750.2015.1092471.
Baird George, Alcorn Andrew, Haslam Phil. The energy embodied in building materials—updated New Zealand coefficients and their significance. IPENZ Trans. 1997;24:46–54.
Chauhan PS, Kumar A, Nuntadusit C. Thermo-environomical and drying kinetics of bitter gourd flakes drying under north wall insulated greenhouse dryer. Sol Energy. 2018;162:205–16. https://doi.org/10.1016/j.solener.2018.01.023.
Prakash O, Kumar A. Environomical analysis and mathematical modelling for tomato flakes drying in a modified greenhouse dryer under active mode. Int J Food Eng. 2014;10:669–81. https://doi.org/10.1515/ijfe-2013-0063.
Chauhan PS, Kumar A. Heat transfer analysis of north wall insulated greenhouse dryer under natural convection mode. Energy. 2017;118:1264–74. https://doi.org/10.1016/j.energy.2016.11.006.
Prakash O, Kumar A. Solar drying technology: concept, design, testing, modeling, economics, and environment. Berlin: Springer; 2017.
Acknowledgements
Authors are highly thankful to Maulana Azad National Institute of Technology, Bhopal (India), for providing basic support to execute this work.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Jain, A., Sharma, M., Kumar, A. et al. Computational fluid dynamics simulation and energy analysis of domestic direct-type multi-shelf solar dryer. J Therm Anal Calorim 136, 173–184 (2019). https://doi.org/10.1007/s10973-018-7973-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10973-018-7973-5