Bina Çatıları İçin Coğrafi Bilgi Sistemi Kullanılarak Güneş Enerjisi Üretimi Optimizasyonu (A Geographical Information System Based Optimization of Solar Radiation Energy Production of Rooftops)


Birdal A. C., Yelkuvan A. F., Ünsal E. (Executive), Atun R.

Project Supported by Higher Education Institutions, 2018 - 2021

  • Project Type: Project Supported by Higher Education Institutions
  • Begin Date: April 2018
  • End Date: July 2021

Project Abstract

The application of photovoltaic systems in cities for power supply support is getting more and more important every day. With the rapid depletion of carbon*containing fossil fuel resources, there is now a growing interest in renewable energy systems. Solar energy is a renewable resource and is seen as an endless resource for energy production. Photovoltaic technology is defined as unlimited energy production with the help of panels built on roof and land systems, which produce electricity from solar energy. The electricity generation rate of a photovoltaic power systems varies according to the factors of the regional effects and installation location which have a significant influence on the investment returns. Geographical Information Systems (GIS) help city planning in many respects. The calculation of the photovoltaic factors in the GIS environment with high resolution orthoimages and Digital Surface Models (DSM) result products produced from aerial photographs obtained through the Unmanned Aerial Vehicles (UAV) can determine the area where roof photovoltaic systems can be installed optimally. As a result of a detailed investigation of the literature, it is aimed to make the final decision maker to easily and accurately predict the electricity production of the photovoltaic system of the selected installation area with the help of a preliminary feasibility study, using the GIS-based optimization model. In this study, photovoltaic energy potential will be calculated with the help of GIS in the campus area of Cumhuriyet University. Then the most suitable solar panel installation areas will be determined. For a period of 12 months, suitable location will be installed with solar panels. Lastly, a test will be conducted to compare the production amount predicted from UAV images with installed solar panels. The aim of the work is to assist the university in the production of electric energy with the new photovoltaic roof system to be established and to verify the contributions of photovoltaic energy to urban areas. Within the scope of the study, every seasonally changing sunshine period will be measured monthly and the potential electric energy production of the study area will be calculated. Compilation and reporting of the results obtained will lead to the end of the study.