Feasibility study of using solar radiation energy using remote sensing and SEBAL algorithm (Case study: Moghan Plain)

Asghari Saraskanrood, Sayyad; Mohamadzadeh Shishegaran, Maryam; Ghale, Ehsan

Feasibility study of using solar radiation energy using remote sensing and SEBAL algorithm (Case study: Moghan Plain)

Document Type : Original Article

Authors

Sayyad Asghari Saraskanrood

Maryam Mohamadzadeh Shishegaran ¹

Ehsan Ghale ²

¹ Msc Remote Sensing and GIS, University of Mohaghegh Ardabili, Ardabil, Iran.

² PhD student of Geomorphology, University of Mohaghegh Ardabili, Ardabil, Iran.

Abstract

The use of satellite imagery and remote sensing models has been a convenient and inexpensive tool for estimating solar radiation in recent years.images related to the two years 2019 and 2020 of Landsat 8 satellites, OLI sensors, TIRS sensors and Sabal algorithm were used. The results show that the average of the highest input shortwave radiation was 914 watts per square meter in June and the lowest in November was 548 watts per square meter. The highest amount of net radiation in June was 505 watts per square meter and the lowest in February was 467 watts per square meter. Finally, the highest amount of net radiation reached the earth's surface in June at an average of 505 watts per square meter, the lowest average amount was in November at 296 watts per square meter. The difference in the amount of net radiation reaching the earth in the study area is due to the difference in the angle of the sun and the number of hours of sunshine in different months of the year. Finally, it can be concluded that solar radiation in the region, in the two years under study has the necessary potential to implement solar photovoltaic projects.

Keywords

‘’Solar radiant energy’’

‘’SEBAL algorithm’’

‘’Remote sensing’’

‘’Moghan Plain’’