Volume : IV, Issue : IX, September - 2015

THE PREDICTION OF PRODUCTIVITY OF SINGLE SLOPE SOLAR STILL: A REGRESSION APPROACH

Piyush Gupta, Nikhil Singh

Abstract :

The present work focuses on the application of Linear Regression method to predict the productivity of Single Slope Solar Still for the selected range of Salt Concentration, Inclination Angle, Water Depth and Water Temperature. An indoor simulation model was developed using constant temperature water bath to maintain water temperatures at steady state for the purpose of experiment. The condensing covers inclined at 25O, 30O and 35O were faicated of commonly used glass sheet for the purpose of experiment. Orthogonal arrays of taguchi, the Signal–to–Noise (S/N) ratio, the analysis of variance (ANOVA) has been used to analyze the effect of the process parameters on the productivity of the Single Slope Solar Still and Linear Regression method has been used to develop an expression to establish a correlation between the selected parameters and productivity. The predicted values have been compared with experimental data and are found to be in good agreement. The experimental value have also been compared with the basic Dunkle Model results and it has been found out that the performance of present model is better than the performance of Dunkle model.

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Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

PIYUSH GUPTA, NIKHIL SINGH The Prediction of Productivity of Single Slope Solar Still: A Regression Approach International Journal of Scientific Research, Vol : 4, Issue : 9 September 2015

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