| Abstract [eng] |
Solar energy is one of the most important sources of renewable energy. Multi-criteria assessment and GIS analysis tools allow efficient investigation of suitable and unsuitable areas for construction of solar power plants. The object of research is the land areas of the Solar Power Parks. The aim of the work is to evaluate the territory of Lithuania for the suitability of solar power plant construction. Various methods were used to perform the research: literature analysis, interpolation of spatial data, modeling, pairwise comparison and cartographic methods. The work consists of an introduction, literature analysis, research methodology, results, conclusions, references, summary in Lithuanian and English. The criteria for selection of solar power plant areas are established in the study. The criteria are divided into restriction and determination criteria. The following criteria were selected for the group of determination criteria: direct solar radiation, diffuse solar radiation, average land fertility, slope exposures, distance to electrical networks, distance to roads, distance to railways. Water bodies and wetlands, forests, different types of roads with buffer values, railways with buffer values, power plants with buffer values, border sections and built-up areas were selected for the restriction criteria. Significance weights are calculated for the determination criteria. The most significant criterion was found to be direct solar radiation and the least significant distance to railway lines. The study found that the most improper areas for construction are in the southern and south-western parts of Lithuania, where forests and protected areas are the most abundant. It is estimated that 33.88% of the country's territory is unsuitable for construction of solar power plants. Also, the results showed that the greatest potential for the construction of solar power plants is in Kalvarija, Šilutė and Kretinga district municipalities. Results of the analysis are significant for companies that are planning to build power plants and predict the energy potential of solar power plants. Results of the research will benefit power plant builders, who will have the flexibility to adapt the end result when establishing new power plant parks. |
