O.O. Volkovaia - V.N. Karazin Kharkiv National University;
O.S. Tretyakov - V.N. Karazin Kharkiv National University;
I.G. Chervaniov - V.N. Karazin Kharkiv National University.
The purpose of this publication - improving the calculation model of average wind speeds using GIS technology in the areas with combinations of different physical and geographical conditions to define the wind power potential. Wind energy sector relies on the use of the territory properties - wind conditions and terrain. Due to inconsistency of the forest-steppe landscape in large parts of Ukraine, the site-specific search and selection of the areas with the most favorable physical geographic wind potential conditions as factors for wind power turbines placement on the local level is of great importance. Then, models of wind speeds and timing should be created for those areas. The method and the result of predictive calculation model of average wind speeds for the wind energy needs based on GIS technologies has been presented. Among the models used for this purpose the numerical model MS-Micro / 3 was selected by using comparative analysis, which proved most useful in the areas with physical and geographical characteristics, similar to the northern forest-steppe landscapes of the Kharkiv region. The results of the model testing on local area have been reviewed. The surface of wind speed distribution has been built, the areas which best meet the needs for the wind turbines location choice defined. Some method and problem flaws which may arise during modeling at medium wind speeds in local areas have been revealed. The resulting error of average wind speeds has been estimated and the ways to avoid errors in calculations using this model have been proposed. Novelty, geographic appeal and relevance of the study was selection of localized (point) research as immediate priority for the wind power stations installation sites choice, considering local geographical conditions.
wind energy, wind energy potential, wind turbines, windflow, local area, GIS modeling, the average wind speed, calculations error
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