Energy Efficiency

Power generation and consumption by Cherepovets Steel Mill, thousand kWh, GRI 302-1

Year	2016	2017	2018	2019	2020
Total consumption	6 077 806	6 096 821	6 280 738	6 274 316	6 199 626
External sources	1 686 531	1 655 118	1 714 917	1 884 579	1 530 575
Internal production	4 391 275	4 441 703	4 565 820	4 389 735	4 669 047
TPP-SS	2 602 942	2 623 499	2 661 744	2 494 701	2 730 751
TPP-PS	1 456 400	1 509 456	1 616 004	1 598 709	1 672 103
GNCT	199 477	191 765	158 274	166 399	141 827
TSC	132 455	116 983	129 798	129 926	124 367
Use in shops	5 574 273	5 610 497	5 809 378	5 795 592	5 719 739
Process consumption	5 641 968	5 666 700	5 860 781	5 844 529	5 771 657
Losses	67 695	56 203	51 403	48 937	51 918
Sales to third parties	432 650	426 542	416 376	426 074	424 560
Non-process consumption	3 188	3 579	3 582	3 713	3 409

2020 Key Initiatives

As a part of our large-scale energy conservation investment programme, Cherepovets Steel Mill deployed a machine learning model to automate the operation of air compressors.

The software redistributes the performance of individual compressors so that the total amount of compressed air stays the same while the overall consumption goes down. Our innovations resulted in the average 2 kWh per thousand cubic metres reduction in specific power consumption.

Vorkutaugol does not have its own power generation and is a single consumer on the wholesale electricity market. It rolled out a data collection system connected to 2.5 thousand units of metering equipment. Predictive analysis with machine learning helps us improve energy consumption forecasting (by 20-25% monthly), minimize our losses due to inaccurate forecasts, and eliminate unauthorized connections to power grids and electricity theft. We are saving up to $10 million per year.

Energy Efficiency

2020 Highlights

Power generation and consumption by Cherepovets Steel Mill, thousand kWh, GRI 302-1

In 2020 we saved 6.1% on energy costs compared to 2019 (excluding the use of natural gas in the process fuel used in hot metal production). Cherepovets industrial site made the biggest contribution in this result.

Specific power consumption

2020 Key Initiatives

As a part of our large-scale energy conservation investment programme, Cherepovets Steel Mill deployed a machine learning model to automate the operation of air compressors.

Energy Efficiency

2020 Highlights

Power generation and consumption by Cherepovets Steel Mill, thousand kWh, GRI 302-1

In 2020 we saved 6.1% on energy costs compared to 2019 (excluding the use of natural gas in the process fuel used in hot metal production). Cherepovets industrial site made the biggest contribution in this result.

Specific power consumption

2020 Key Initiatives

As a part of our large-scale energy conservation investment programme, Cherepovets Steel Mill deployed a machine learning model to automate the operation of air compressors.

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