Authors: R.V. Belyaevsky, A.R. Ahmetgareev

Title of the article: Identification of Coal Mine Infrastructure Facilities with Inefficient Power Consumption

Year: 2025, Issue: 3, Pages: 14-20

Branch of knowledge: 2.4.2. Electrotechnical complexes and systems (engineering)

Index UDK: 621.313.333: 621.867.2

DOI: 10.26730/1816-4528-2025-3-14-20

Abstract: This article addresses the pressing issue of optimizing energy consumption in the coal industry of Kuzbass, which accounts for about 50% of Russia’s coal production. The relevance of this study stems from the continuous increase in energy consumption at open-pit coal mines due to deeper mining operations, higher production and processing volumes, and the need to comply with the Federal Energy Saving Law. The aim of this work is to develop a methodology for identifying facilities with inefficient power consumption using interval estimation of parametric rank distribution. The study applies a rank analysis method of energy consumption data that allows detection of anomalies without costly instrumental measurements. The methodology includes constructing Gaussian confidence intervals for the rank distributions of substation energy consumption, followed by the identification of “anomalous facilities.” A test on data from 38 substations of a coal company over four years revealed 18 facilities with abnormally high and 9 with abnormally low energy consumption. The analysis was conducted using Mathcad 15, which allows the calculation of confidence intervals via the inverse Laplace function. The practical significance of this research lies in reducing energy audit costs by prioritizing inspections of problematic facilities. The proposed approach complies with energy saving legislation and is adaptable to other energy-intensive industries. The results may be used in forming modernization programs for coal mine infrastructure.

Key words: inefficient power consumption energy efficiency energy audit rank analysis technocenosis coal industry

Receiving date: 03.03.2025

Approval date: 30.04.2025

Publication date: 05.06.2025

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