Response surface modelling and performance evaluation of solar dryer for drying of grapes

• Autorzy: Yadav Aditya Arvind , Prabhu Pravin A. , Bagi Jaydeep S.

Identyfikatory

DOI

10.30464/10.30464/jmee.2021.5.2.157

• Języki publikacji: EN

Abstrakty

EN

The current study focuses on the performance of the Solar Greenhouse Dryer for drying of grapes for raisin production in the Solar Dryer and Open sun condition in Western Maharashtra. The grape is also known as Vitis Vinifera, and it is a sub-tropical fruit with excess pulp content. The grapes are used as an immune booster as it contains various Phyto-chemicals which reduce various diseases. It is estimated that nearly 80% of grapes produced in India are exported to European countries. The Maharashtra state ranks first in the production of grapes; probably, Western Maharashtra produces nearly 800 thousand tons of grapes every year. The major wastage of grapes is due to a low sugar content, glossy appearance, shrinkage, excess water in the berry, scorching and size variations. Therefore, there is a need to preserve grapes by drying and production of raisins for a non-seasonal requirement. The experiment was conducted for drying of grapes in the Solar Greenhouse Dryer and Open Sun conditions from 1st of April to 4th of April for 48 hours. The initial weight of the grapes to be dried was 500 grams for both the Solar Greenhouse Dryer and Open Sun drying conditions. The experiment was conducted at Bahe, Borgaon, Tal-Walwa, Dist-Sangli, Maharashtra, India located at 17.115oN and 74.33oE. The experimental observations collected during the `experimentation were set as input data for the Design of Experiments i.e., for Response Surface Modelling (RSM). The main aim of using DOE i.e., Response Surface Modelling, is to obtain an optimum region for drying of grapes in the Solar Greenhouse Dryer, from the Surface plot; a region of maxima and minima was obtained. The contour plot obtained during modelling resembles the optimum region of drying, the optimum region for drying grapes is 45 to 50oC respectively. The Moisture Removal Rate (MRR) for drying of grapes in the Solar Greenhouse Dryer and in the Open Sun drying is 73.6% and 57.2% respectively. The drying rate observed during the experiment has a better resemblance with simulated Response Surface Modelling.

Słowa kluczowe

EN

solar greenhouse dryer; drying; moisture removal; solar thermal energy; response surface methodology; design of experiments

PL

szklarnia; suszarnia słoneczna; suszenie; usuwanie wilgoci; energia słoneczna; metodologia powierzchni odpowiedzi; projektowanie eksperymentów

• Wydawca: Wydawnictwo Uczelniane Politechniki Koszalińskiej
• Czasopismo: Journal of Mechanical and Energy Engineering
• Rocznik: 2021
• Tom: Vol. 5, No 2
• Strony: 157--168
• Opis fizyczny: Bibliogr. 10 poz., rys., tab., wykr.

Twórcy

autor

Yadav Aditya Arvind

• M. Tech (Energy Technology) Department of Technology, Shivaji University, India

• https://orcid.org/0000-0003-4165-9234

autor

Prabhu Pravin A.

• M. Tech (Energy Technology) Department of Technology, Shivaji University, India

autor

Bagi Jaydeep S.

• Bagi Department of Technology, Shivaji University, Kolhapur, Maharashtra, India

Bibliografia

• 1. Vijayan S, Arjunan T. V., Anil Kumar. Fundamentals of Drying. Solar Drying Technology - Concept, Design, Testing and Modeling, Economics and Environment 2017; 3-38.
• 2. Labuza TP, McNally L, Gallagher D, Hawkes J, Hurtado F. Stability of intermediate moisture foods. 1. Lipid oxidation. Journal of Food Science 1972; 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. Yadav Aditya Arvind, Yadav Akshay Vijay, Bagi Jaydeep, Prabhu Pravin. Design of a Solar Modified Greenhouse Prototype. Journal of Science and Technology; 2021; 06(01); 118-125.
• 5. D. Jagadeesh, M. Vivekanandan, A. Natarajan et al., Experimental conditions to identify the ideal shape of dryer investigation of six shapes of solar greenhouse dryer in no load, Materials Today: Proceedings 2020; 1-9.
• 6. P. Pankaew , O. Aumporn , S. Janjai , S. Pattarapanitchai , M. Sangsan & B.K. Bala. Performance of a large-scale greenhouse solar dryer integrated with phase change material thermal storage system for drying of chili. International Journal of Green Energy 2020; 1-12.
• 7. Yadav A A, Prabhu P. A., Bagi J. S. Experimental Performance and Response Surface Modelling of Solar Dryer for drying of bitter gourd in Western Maharashtra, India. Journal of Post-harvest Technology 2021; 9(3); 1-16.
• 8. Bekkioui N. Performance comparison and economic analysis of three solar dryer designs for wood using a numerical simulation. Renewable Energy 2021; 164:815–823.
• 9. 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.
• 10. Yadav A. A., Prabhu P. A., Bagi J. S. Numerical simulation and experimental validation of solar greenhouse dryer using finite element analysis for different roof shapes. Journal of Mechanical and Energy Engineering, Vol. 5(45),No. 1, 2021, pp. 69-80.

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).