RESEARCH OF TERRITORIAL DATA IN THE ASSESSMENT OF THE CONSTRUCTION AND COMMISSIONING OF THE SES ON THE EXAMPLE OF THE TURKESTAN REGION
Faiz N.S. Turymbetova G.D. Tokenov N.P. Smagulov K.Z. Nauryz B.K.
2024National Academy of Sciences of the Republic of Kazakhstan
News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences
2024#2024Issue 2205 - 216 pp.
Today, one of the main tasks in the field of electric power industry is to find new ways to solve the energy crisis situations of the world community. Here the question is raised about the optimal use of local energy resources, taking into account its potentials in providing the population with electric and thermal energy. This article examines the assessment of the solar potential of the Turkestan region, taking into account the climatic and meteorological factors of the selected territory. The introduction discusses experimental solutions by foreign scientists, who note that the creation of thematic maps to assess the intensity of solar energy distribution based on GIS technology, taking into account factors such as ambient temperature, terrain, time series of solar radiation, as well as the distance of the proposed areas for the construction and commissioning of solar power plants from residential areas and nearby electrical substations. In the materials and methods of the study, satellite images of the relief of the location of the selected areas were obtained in relation to the construction of new optimal sites for solar power plants based on Google Earth. A thematic ecological map has also been created based on the Esri ArcGIS geoinformation program, which shows the climatic data of the localities, which are the main parameter in assessing the solar potential. In the results of the study, based on the SAM (System Advisor Module) application program, forecast data were obtained for monthly and annual specific electric power generation based on SES.
average annual solar energy production , geoinformation technologies , ICON data model , maximum generation of electric energy , meteorological observations , solar power plants
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Mukhtar Auezov South Kazakhstan University, Tauke Khan Avenue 5, Shymkent, 160012, Kazakhstan
Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeev, st. Baytursynov, 126/1, Almaty, 050013, Kazakhstan
Mukhtar Auezov South Kazakhstan University
Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeev
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