Artificial neural networks based computational and experimental evaluation of thermal and drying performance of partially covered PVT solar dryer

Author:

Gupta Ankur,Das Biplab,Arslan Erhan,Das Mehmet,Kosan Meltem,Can Omer Faruk

Funder

National Institute of Technology, Silchar

Department of Science and Technology, Ministry of Science and Technology, India

Publisher

Elsevier BV

Reference51 articles.

1. Numerical study of the effects of nanofluids and phase-change materials in photovoltaic thermal (PVT) systems;AL-Musawi;J. Therm. Anal. Calorim.,2019

2. 4E analysis of infrared-convective dryer powered solar photovoltaic thermal collector;Arslan;Sol. Energy,2020

3. Comparison of a mixed modes solar dryer to a direct mode solar dryer for African indigenous vegetable and chili processing;Ayua;J. Food Process. Preserv.,2017

4. Experimental investigation and multi objective optimization of thermal-hydraulic performance in a solar heat collector;Chauhan;Int. J. Therm. Sci.,2020

5. CFD simulation of solar grain dryer;Chavan;Dry. Technol.,2021

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