Solar Electricity Potential Based on ArcGIS Maps and Consumption of Energy for Engineering Faculty Buildings in Anadolu University


10th International Conference on Electrical and Electronics Engineering (ELECO), Bursa, Turkey, 30 November - 02 December 2017, pp.156-160 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Bursa
  • Country: Turkey
  • Page Numbers: pp.156-160
  • Anadolu University Affiliated: Yes


It is very significant to predict the solar energy potential correctly while solar panel applications arc being carried out. This study describes a model for prediction of solar energy potential and compares the prediction and energy consumption values in Engineering Faculty building roofs of Iki Eyltil Campus in Anadolu University. In order to evaluate this potential, a digital surface model (DSM) and high-resolution orthoimage are modeled and annual solar radiation maps included direct and diffuse solar radiations are generated at Solar Analyst platform of ArcGIS. Then, optimal tilt angle, aspect and site latitude factors are considered in selection of panel location. When total consumption and prediction values are compared the results show that estimated energy are compensated a substantial amount of energy consumption of the selected area.