CREATION OF GEOINFORMATION MAPS FOR ASSESSMENT OF WIND ENERGY POTENTIAL OF LOCAL AREAS OF TURKESTAN REGION
СОЗДАНИЕ ГЕОИНФОРМАЦИОННЫХ КАРТ ДЛЯ ОЦЕНКИ ВЕТРОВОГО ЭНЕРГОПОТЕНЦИАЛА ЛОКАЛЬНЫХ МЕСТНОСТЕЙ ТУРКЕСТАНСКОЙ ОБЛАСТИ
Faiz N.S. Shapalov S.K. Smagulov K.Zh. Tokenov N.P. Nauryz B.K.
November-December 2025National 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
2025#2025-November-DecemberIssue 6280 - 293 pp.
Today, one of the main tasks for experts and scientists in the field of renewable energy is to conduct a geo-assessment in the construction and commissioning of wind farms, taking into account external disturbing climatic and meteorological factors. Foreign experts note that digital and innovative platforms of the new generation have given an impetus to the creation of a new information base, which has become the main tool for an adequate assessment and forecasting of the renewable energy potential using the example of local selected regions. The purpose of this study is to create geoinformation maps taking into account wind flow velocities using the example of a selected local area and an adequate assessment of the generation capacity of a wind power plant. The method of inversely weighted distance interpolation was chosen as the key method, which is oriented to obtain the necessary data by remote measurement. This, in turn, is an original method for the preliminary assessment of the selected local area for the construction of wind power plants. In the results of the study, thematic maps were obtained based on the Esri ArcGIS application program, which visualizes wind speeds according to certain geodata gradients. The peak speed of the wind flow in the seasonal series is in December-April. The peak wind flow velocity in these seasonal ranges is approximately 18-25 m/s. Monthly and peak WPP output per year were calculated based on the System Advisor Module application program. The peak output of the wind farm for the year was 167 MW. In turn, the developed geoinformation maps in the future can become regulatory documents that include all the necessary forecast data, which allows an adequate assessment of the potential territories of the Turkestan region for the construction and commissioning of new wind farms.
geographic information maps , geotechnical objects , observed climate data , simulated climate data , wind velocity distribution diagram
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Mukhtar Auezov South Kazakhstan University, Shymkent, Kazakhstan
Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeev, Almaty, Kazakhstan
Mukhtar Auezov South Kazakhstan University
Almaty University of Power Engineering and Telecommunications named after Gumarbek Daukeev
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