A study on the Analysis of Solar Irradiation and Floating Photovoltaic Power Generation on the Dam Surface

Abstract

The hourly irradiance value from the sun is essential data for reasonable estimation of power generation (EPP) in PV systems. Generally, data extracted from weather satellites are available to collect monthly radiation data, but hourly radiation data is not available efficiently in developing countries or rural areas that require PV systems. To provide such hourly radiation data, this work utilizes three methods (Academic Mean Method, SOLPOS Algorithm Method, and Duffie and Beckman Algorithm Method) to transform monthly irradiance data into hourly irradiance data. The monthly cumulative irradiance data used in this study utilized field data acquired by the National Renewable Energy Institute. The hourly irradiance data derived from the above three methods were compared and analyzed with the actual solar irradiance values measured from the local solar radiation sensors. In addition, hourly irradiance data is inputted into the System Advisor Model program to estimate the EPP values produced in PV systems and compare and analyze the actual generation yield values. This paper shows that water solar power can be predicted closest to real value by transforming solar radiation values using SOLPOS algorithmic method.