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Performance Analysis of Solar PV Plant by Using Regression Model
Sumit Sharma
(Author)
·
LAP Lambert Academic Publishing
· Paperback
Performance Analysis of Solar PV Plant by Using Regression Model - Sharma, Sumit
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Synopsis "Performance Analysis of Solar PV Plant by Using Regression Model"
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.
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The book is written in English.
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