Thesis Type: Doctorate
Institution Of The Thesis: Yildiz Technical University, Faculty of Civil Engineering, Geomatic Engineering, Turkey
Approval Date: 2021
Thesis Language: Turkish
Student: O.S. Yılmaz
Principal Supervisor (For Co-Supervisor Theses): Fatih Gülgen
Co-Supervisor: Ali Murat AteşAbstract:
This thesis, it is aimed to determine the appropriate region for the Floating Photovoltaic Solar Power Plant (FPV-SPP) system to be an installation in Demirköprü Dam. Random Forest (RF) and Maximum Likelihood Classification (MLC) algorithms were used in supervised classification with remote sensing techniques to determine the shoreline of Demirköprü Dam and K-Means algorithm was used in unsupervised classification. In addition, Normalized Difference Water Index (NDWI) and Modified Normalized Difference Water Index (MNDWI) were used for water surface extraction. Thanks to the geodetic survey made in the field, the approach using the RF algorithm and NDWI index in extracting the shoreline of the Demirköprü Dam surface has proved to be more successful than other approaches. Then, using the determined algorithm and water extraction index, the 20-year change of the Demirköprü Dam surface was monitored on the "Google Earth Engine" platform. By determining the minimum areas from the classification maps obtained, geographic information systems overlap analysis was applied and the minimum area was calculated as 15,624,500 m2. In addition, the locations and areas of some small islets that emerged during the 20-years when the dam water level decrease was determined. These determined areas were calculated as 9.100 m2. The data obtained with the approaches used in this study were compared with the Demirköprü Dam data obtained from the global water occurrence and dynamics monitoring study carried out on a world scale, and the results were found to be consistent with each other. Then, annual and monthly solar radiation values for Demirköprü Dam surface were calculated by solar analysis. Annual radiation values for Demirköprü Dam vary between a minimum of 1.553.96 kWh/m2 and a maximum of 1.875.25 kWh/m2. Using the annual data found, the region's pixel-based Regional Theoretical Capacity Factor (RTCF) values were calculated. The dam surface is hierarchically divided into four classes according to RTCF values. Suppose FPV-SPP is covered separately for the solar analysis before and after the solar analysis on the minimum dam surface area found. In that case, the annual electrical energy amounts that can be produced are calculated as 3,328.33 GWh and 3,183.57 GWh, respectively. In addition, the amount of water to be prevented due to evaporation in completely covering the dam surface with FPV-SPP was calculated as 28,596,875 m3.