MODELING THE EFFICIENCY OF COAL ENRICHMENT USING ORGANIC OILS IN KAZAKHSTAN

Моделирование эффективности обогащения угля с использованием органических масел в Казахстане*
Tultabayev M.Ch. Zhunusova G.S. Urazbayev Zh.Z.
2023 Ugol Journal Edition, LLC

Ugol
2023 Issue 10 96 - 103 pp.

The efficiency of coal enrichment is critical for the energy sector, especially in countries such as Kazakhstan, where there are significant coal reserves estimated at 157 billion tons, which is about 4% of the world’s reserves. In the light of the urgency of the search for new technologies for coal enrichment aimed at improving its quality and environmental safety, the study on the calculation and modeling of the efficiency of coal enrichment using organic oils in Kazakhstan is becoming particularly relevant. This study examines the relationship between coal enrichment parameters and the use of organic oils (safflower, flax and soy). Materials and methods include collecting data on the qualitative and quantitative characteristics of coal deposits in Kazakhstan, conducting experiments and modeling the coal enrichment process. As a result of data processing and analysis, dependencies were identified, which were expressed through regression equations and provide prediction of the level of coal enrichment using organic oils. A mathematical model describing the relationship between the parameters of enrichment and the use of organic oils was also developed. Using this model, it was possible to determine the optimal values of coal enrichment parameters. Experimental data have shown that the use of organic oils can increase the efficiency of coal enrichment by 12-18%. Based on these results, recommendations were formulated on the use of organic oils to improve the efficiency of coal enrichment in Kazakhstan.

Coal , Coal enrichment , Efficiency calculation , Kazakhstan , Organic oils , safflower oil Modeling

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Kazakh University of Technology and Business, Astana, 01000, Kazakhstan
Kazakh Research Institute of Processing and Food Industry, Almaty, 050060, Kazakhstan

Kazakh University of Technology and Business
Kazakh Research Institute of Processing and Food Industry

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