scholarly journals Analysing the Performance of a Flat Plate Solar Collector with Silver/Water Nanofluid Using Artificial Neural Network

2016 ◽  
Vol 93 ◽  
pp. 33-40 ◽  
Author(s):  
Ashly Maria Tomy ◽  
Nizar Ahammed ◽  
M.S.P. Subathra ◽  
Lazarus Godson Asirvatham

Solar cavity collector (SCC) is an improvised version of flat plate solar collector (FPC). A SCC of outer radius 16mm positioned concentrically and placed in a 50 mm metal box. Five numbers of such cavities with a provision of inlet and outlet water pipes has been fabricated and experimented for its optimal performance. This experimental gadget is used to heat the water. As the physical dimensions of solar cavity collector influence the performances of the cavity collector, it includes the comparison of 5 numbers of cavities and 7 numbers of cavities, effect of aperture entry have been taken as investigation parameters in the present study. Inclination angle of the collector, water mass flow rates and mode of flow are the other parameters taken for the present study. Experimental data are trained and tested using Artificial Neural Network (ANN) tool of MATLAB software and ANN simulation results have been validated and verified with the available experimental data. Simulations for other set of variables have been predicted with the developed ANN mode


Solar Energy ◽  
2019 ◽  
Vol 188 ◽  
pp. 1320-1331 ◽  
Author(s):  
F.J. Diez ◽  
L.M. Navas-Gracia ◽  
A. Martínez-Rodríguez ◽  
A. Correa-Guimaraes ◽  
L. Chico-Santamarta

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