14 april 167

AP25795525 – Development of a low-power wind energy installation to study the effect of blade icing on turbine efficiency

AP25795525 – Development of a low-power wind energy installation to study the effect of blade icing on turbine efficiency

Objective of the projectTo study and optimize the efficiency of a low-power wind power plant under conditions of turbine blade icing.

Relevance: The project is driven by the widespread issue of wind turbine blade icing in the cold climate of northern regions of Kazakhstan. Icing significantly reduces the efficiency and reliability of wind power installations. Therefore, the development and optimization of low-power wind energy systems under such conditions is of great importance. This research will contribute to the broader adoption of renewable energy technologies. Additionally, the project outcomes will have a positive impact on the environmental and socio-economic development of the country.

Scientific supervisor: Master of Technical Sciences, Zhaksylik Talgatuly Omarov.

Expected and achieved results: The study is expected to result in the publication of at least two scientific papers in high-ranking journals indexed in the Web of Science and Scopus databases. Within the project, a prototype of a low-power wind energy installation has been developed to investigate the effect of blade icing on turbine efficiency. The prototype is equipped with a refrigeration chamber that enables controlled formation of ice on the blades. The conducted research has provided a detailed analysis of the impact of icing on the performance of wind turbines. It has also established a foundation for developing methods to reduce or prevent ice formation. The obtained results can be integrated into the educational process and applied in further scientific studies. Overall, the project contributes to advancing the scientific and technical level of wind energy and improving environmental sustainability.

List of publications with links to them

  1. Bekbolatova Zh., Grigoryev D., Minazhova S., Bekbayev A., Omarov Zh., Kozhageldi B. Wind Power Forecasting Based on Time Series Autoregressive Moving Average Model Taking into Account the Effect of Wind Speed Dispersion ES Energy & Environment. – 2026. – Vol. 31. – Article 2025. DOI: https://dx.doi.org/10.30919/ee2025
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