Modeling and optimization of energy intensity of basic flow processes at mines

The aim of this study is to analyze and predict energy intensity of a mine, and to reveal factors that influence power consumption with a view to optimizing energy usage. The subject of research is the Tyrnyauz Tungsten–Molybdenum Plant which practices both open-pit and underground method of mining in difficult geological conditions. This study uses statistical data on monthly energy consumption and ore production output. The implemented analysis shows the lack of stable linear correlation between the total energy consumption and the ore volume produced. Nonuniformity is found in energy use patterns at different production stages. The predicted values of energy consumption and energy intensity from the least square method display a decrease in the long view but need further verification. Considering a complex and multi-factor nature of energy consumption at the plant, the promising area of the further research is the integrated modeling using a combination of the statistical methods, machine learning and expert appraisement. Such models enable more accurate prediction of energy consumption, as well as optimization of energy resources control strategies, which, in its turn, can allow cost and energy improvement, as well as ensure mitigation of environmental impact.

Klyuev R. V. Modeling and optimization of energy intensity of basic flow processes at mines. MIAB. Mining Inf. Anal. Bull. 2025;(4):170-181. [In Russ]. DOI: 10.25018/ 0236_1493_2025_4_0_170.

R.V. Klyuev, Dr. Sci. (Eng.), Assistant Professor, Professor, Moscow Polytechnic University, 107023, Moscow, Russia, e-mail: kluev-roman@rambler.ru, ORCID ID: 0000-0003-3777-7203.

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