Statistical Analysis of Insolation Data

摘要

Recent significant downtrend in the cost of photovoltaic (PV) modules has accelerated their deployment around the world on a large scale. This paper presents the observed radiations at four locations in Libya to analyze the statistical solar radiation data provided by Centre for Solar Energy Research and Studies of Libya (CSERS). The solar radiation data set is analyzed using Weibull, Normal, Rayleigh and Gamma distribution. An effort has been made to find out the most suitable distribution of solar radiation data, based on two goodness of fit tests, namely Chi-Squared test and Kolmgorov-Smirnov test. Root mean square error and correlation coefficient are also used to determine error and describe the correlation between the observed data and each distribution. From analysis it is concluded that Weibull and Normal distribution gives the best fit for observed solar radiation.