Türkiye’deki Biyokütle Enerji Santrallerinin Mekânsal İstatistiksel Yöntemlerle Analizi

Abstract

Biomass energy is one of the renewable energy sources used as an alternative to supply the increasing energy consumption in today's conditions. Appropriate determination of the locations of biomass power plant (BPP), which are considered to be of critical importance in energy efficiency, is necessary to obtain maximum benefit from renewable energy. In this study, it is aimed to perform spatial statistical analyzes by taking into account the location of BPPs, established in Turkey, and the attribute values in the location. Basic information was obtained by applying exploratory spatial data analysis and spatial pattern analysis. Spatial autocorrelation analyzes and spatial interpolation were performed by including the installed power values of BPP spatial point data as feature data. It was concluded in the spatial statistical analyzes obtained with ArcGIS Pro, which is used as a GIS software program, that the spatial distribution of BPPs according to their location and installed power values is not random. It has been shown as a result of the Kriging analysis applied for spatial interpolation that the power value predictions can be made according to the location of the newly installed BPPs by creating a forecasting map.

Keywords

• spatial data
• spatial statistics
• spatial pattern analysis
• spatial autocorrelation
• biomass energy