Performance Analysis of Solar PV Plant by Using Regression Model

How conversion efficiency affects with the variation in ambient temperature & dust accumulation on solar PV modules

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Solar energy has enormous potential to serve for present energy demand of the world. Photovoltaic is an elegant process of converting the sun energy into electricity. Photovoltaic cells become matchless in transforming the sunshine into electrical energy with no air and noise pollutions. In this work an effort had been made for estimating the effects of dust addition and ambient temperature on conversion efficiency of a 62 KWp Rooftop SPV module. The performance has been evaluated by use of Capacity Utilization Factor and Performance Ratio parameters. This work estimating the decrease in the output power and conversion efficiency as a function of dust accumulation & ambient temperature. A multivariate linear regressions (MLR) model is established to estimate the system's output performance with the consideration of conversion efficiency as the dependent variable and ambient temperature and dust exposure day as the independent variables. It was employed in calculating losses in system efficiency due to dust accumulation. The average efficiency reductions due to dust is 0.872%/day, energy loss is 9.935 kWh/m-sq using MLR model.


Sumit Sharma


Mr. Sumit Sharma has done his B.E. (Mechanical) from University of Rajasthan in 2008 and M.Tech (Thermal Engg.) from Rajasthan Technical University. He has 11 years experience of teaching in Mechanical Engg. & published many research papers in various international journals & conferences. He has also authored 5 books related to Mechanical field.

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Publishing House:

LAP LAMBERT Academic Publishing


Solar energy, Photovoltaics, energy efficiency, Regression Model

Product category:

TECHNOLOGY / Engineering / General