Performance Analysis of Monthly Averages Solar Radiation Estimation Models for Teknaf Bangladesh

Abstract

To establish solar based renewable energy technology, it’s important to evaluate the accurate solar radiation data of particular location due to solar power plant output depend on solar radiation. In this study, Calculating solar radiation in Teknaf area of Bangladesh by using last five year’s monthly average temperature and sunshine hour’s collected from the Teknaf station under Bangladesh Meteorological Department, Dhaka. However, Maximum weather station of the Bangladesh Meteorological Department cannot record direct solar radiation data. To estimate monthly average solar radiation, several equations were considered which is developed based on Temperature and Sunshine hours. Evaluated the performance of this equation done by applying the statistical analysis to select the suitable model for considering the location. Finally comparative studies between the estimated monthly average solar radiations and collected data from National Aeronautics and Space Administration (NASA) surface meteorology and Solar Energy (SSE) that have record the global solar radiation on the horizontal surface, measured from the orbiter. The result shows that sunshine hour’s methods provide better performance than temperature methods and Samuel and Ogelman et al. sunshine hour’s based models are appropriate for Teknaf because of better statistical model performance analysis.