Statistical Optimization of Ambient temperature and Irradiation conditions for Solar Photovoltaic Module performance in composite climate using data analysis and graphing workspaceDownload PDF
Data analysis and graphing workspace was used to determine the optimum solar photovoltaic performance conditions in composite climate for multicrystalline technology. An effort has been made to develop a relation with the given data, where tests are operated in the site of NISE, Haryana (North Latitude 28.47 o N, East Longitude 77.03oE and Elevation from sea level is 216m) as specific composite climate environment. Here data are shown considering average values of the variables (Efficiency with ambient temperature and irradiation) for a period of three years (2010-2013). The objective of this study is to determine the best set of parameters such that the regression model used in the study predicts experimental values of the dependent variable (efficiency of PV module) as accurately as possible (i.e. calculated values of efficiency of PV module should be close to experimental values). Here the regression model itself is verified to fit the observed experimental data choosing the correct mathematical form of it. The analysis indicates that both the variables (ambient temperature and irradiation) can be used to optimize efficiency of PV module for potential commercial applications.
Keywords: Crystalline PV module, Regression Analysis, Analysis of Variance.