Studying the Possibility of Using Solar Radiation energy Using Remote Sensing and SEBAL Algorithm (Case Study: Savojbolagh city)

As the main source of energy, the sun is the origin of life and the root of every other known energy. The global radiation of sun is one of the fundamental structures of any climatic range. Thus, knowing the qualities and predicting these fundamental structures have a great effect on energy-based plannings. The use of satellite images and remote sensing models have been used as suitable and cheap means to estimate solar radiation. In this study, the 2020 year images of Landsat 8 satellite, OLI sensor, TIRS sensor, and SEBAL algorithm were used.   ENVI software was used to make geometric, atmospheric, and radiometric modifications of the satellite images and execute SEBAL model calculations, and ArcGIS was used to create database, conduct locative analyses, carry out cartographic operations, and implement the model. The obtained results showed that the average of highest short-wave incoming radiation has been 862 watts per square meter on August 9, 2020, and the lowest value has been 368 watts per square meter on October 28, 2020. Nonetheless, the highest absolute radiation value has been 901 kilometers on June 6, 2020, and the lowest value has been 19 kilometers on September 10, 2020.  The difference in the absolute radiation values received by earth in the area under study is due to the difference in the sun’s radiation angle and the number of sunny hours in different months of the year. Finally, it can be concluded that the solar radiation in the region in the year under study has the potential to execute solar photovoltaic plans.