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Numerical simulation and experimental validation of solar greenhouse dryer using finite element analysis for different roof shapes

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The present study focuses on the numerical simulation and experimental validation of a Solar Greenhouse Dryer (SGHD). The Solar Dryers are the devices which uses solar energy to dry substances, especially crops with high moisture content, and the word Greenhouse means protection of crops from excess hot or cold climatic conditions and unwanted pests. Thus, Solar Greenhouse Dryer is a device which utilizes solar energy for drying of crops with high moisture content and prevents it from excess climatic conditions and provides optimum range of temperature and prevents the dried product from pests and dust while drying. The numerical simulation of SGHD was performed using Finite Element Analysis software ANSYS 2020 R2. Initially three different roof shapes were modelled using software CATIA V5 R3 namely triangular, trapezoidal and dome shape. The modelled SGHDs was then introduced to ANSYS domain for numerical analysis. The models were initially meshed in ANSYS workbench with unstructured tetrahedral structure of mesh over all the domains. The Solar Ray tracing content was used for numerical simulation of dryers, the solar ray tracing is used to predict direct illumination energy source produced by sun at experimental site. The experiment for no-load test was conducted at Bahe Borgaon, Dist- Sangli, Maharashtra, India at 17.115°N and 74.33°E.
Rocznik
Strony
69--79
Opis fizyczny
Bibliogr. 10 poz., rys., tab., wykr.
Twórcy
  • Department of Technology, Shivaji University, Kolhapur, Maharashtra State., India
  • Department of Technology, Shivaji University, Kolhapur, Maharashtra State., India
  • Department of Technology, Shivaji University, Kolhapur, Maharashtra State., India
Bibliografia
  • 1. S. Vijayan, T. V. Arjunan, Anil Kumar. Fundamentals of Drying. Solar Drying Technology - Concept, Design, Testing and Modeling, Economics and Environment 2017; 3-38.
  • 2. Labuza TP, McNally L, GallagherD, Hawkes J, Hurtado F. Stability of intermediate moisture foods. 1. Lipid oxidation. Journal of Food Science1972; 37(1):154–159.
  • 3. Prakash O, Kumar A. Annual performance of modified greenhouse dryer under passive mode in no-load conditions. International Journal of Green Energy 2015; 12:1091–1099.
  • 4. Aditya Arvind Yadav, Akshay Vijay Yadav, Jaydeep S Bagi, Pravin A Prabhu. Design of a Solar Modified Greenhouse Prototype. Journal of Science and Technology; 2021; 06(01); 118-125.
  • 5. Rintu Kumar, Vishal Gupta, Rajiv Varshney. Numerical Simulation of Solar Greenhouse Dryer Using Computational Fluid Dynamics. International Journal of Research and Scientific Innovation 2017; 111-115.
  • 6. Zh. S. Akhatov, A. S. Khalimov. Numerical Calculations of Heat Engineering Parameters of a Solar Greenhouse Dryer. Applied Solar Energy2015; 51(2): 26-30.
  • 7. Vivekanandan M, Periasamy K, Babu CD, Selvakumar G, Arivazhagan R. Experimental and CFD investigation of six shapes of solar greenhouse dryer in no-load conditions to identify the ideal shape of dryer. Materials Today: Proceedings. 2020; 1-8.
  • 8. Prakash O, Kumar A, Laguri V. Performance of modified greenhouse dryer with thermal energy storage. Energy Reports 2016; 2:155 –162.
  • 9. Kumar A, Tiwari GN. Effect of mass on convective mass transfer coefficient during open sun and greenhouse drying of onion flakes. Journal of Food Engineering 2007; 79:1337–1350.
  • 10. Vishal Gupta, Bhagyashri Dhurve, Abhishek Sharma. Experiment analysis on modified greenhouse dryer in no-load conditions. International Journal of Engineering Technology Research & Management 2017; 2(4): 100-105.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-32da633b-8aa9-4c74-88be-b1d34ef4950f
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