Prediction of specific electric energy consumption at processing plant

Relevance. The urgency of the problem of predicting specific energy consumption at the concentrating factories of mining and processing plants is due to the need to reduce their energy consumption as part of the solution to the problem of increasing the efficiency of electricity use in certain technological stages of production. Purpose and methods. The aim of the work is to develop recommendations on the rationing of specific energy consumption at various parts of the technological process of the concentrating factory (ore crushing, ore grinding, transportation and reagent separation, flotation, filtration and drying, lime department, compressor, tail pumps) and forecasting electricity consumption. In this work, a short-term forecasting technique is used, including checking the source array for uniformity, generating truncated data samples, choosing regression equations to predict specific electricity consumption. Results. Based on experimental studies using statistical calculation methods, the dependencies of specific power consumption rates of sections of the technological process of an concentrating factory for individual quarters of the year are obtained. This makes it possible to use reasonable specific norms to rationalize the operating modes of the plant’s electrical equipment. A forecasting technique has been developed that allows, with accuracy sufficient for engineering calculations, to determine the norms of energy consumption for the future period. Conclusions. Statistical models have been developed for forecasting energy consumption (W) and specific energy consumption () for all redistribution of the concentration plant for each quarter. A methodology has been developed for predicting the coefficients of the regression equations for (W) and () for each quarter. A retrospective verification of the calculated values was carried out, which showed high accuracy of the forecast made by various methods.

Keywords: specific energy consumption, concentrating factory, forecasting, ore.
For citation:

R.V. Klyuev1,3, O.A. Gavrina1, V.N. Khetagurov1, Zaseev S.G.2, Umirov B.Z.4 Prediction of specific electric energy consumption at processing plant. MIAB. Mining Inf. Anal. Bull. 2020;(11-1):135-145. [In Russ]. DOI: 10.25018/0236-1493-2020-111-0-135-145.

Issue number: 11
Year: 2020
Page number: 135-145
ISBN: 0236-1493
UDK: 621.311
DOI: 10.25018/0236-1493-2020-111-0-135-145
Article receipt date: 26.05.2020
Date of review receipt: 08.06.2020
Date of the editorial board′s decision on the article′s publishing: 10.10.2020
About authors:

Klyuev R.V.1,3, Dr. Sci. (Eng.), Assistant Professor, Head of Chief, e-mail: kluev-roman@;
Gavrina O.A.1, Cand. Sci. (Eng.), Assistant Professor;
Khetagurov V.N.1, Dr. Sci. (Eng.), Professor;
Zaseev S.G.2, Cand. Sci. (Eng.), Assistant Professor;
Umirov B.Z.4, Master-teacher;
1 North Caucasian Institute of mining and metallurgy (State Technological University), 362021, Vladikavkaz, Russia;
2 Gorsky (Mountain) State Agrarian University, 362040, Vladikavkaz, Russia;
3 Moscow Polytechnic University, 107023, Moscow, Russia;
4 Khoja AkhmetYassawi International Kazakh-Turkish University, 161200, Turkestan, Kazakhstan,


For contacts:

R.V. Klyuev, e-mail:


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