Author(s)

S. V. Fedorova, A. N. Shemetov, A. L. Chulynin, I. A. Shestakova

Abstract

The Ural Mining and Metallurgical Company (UMMC) is one of the major vertically integrated companies in Russia that embrace about 50 enterprises of mining, metallurgical and fabricating complexes, automotive, cable and construction industries and agriculture.

Many enterprises are energy intensive. The share of the energy resources cost in production is over 10%. Annual expenses of enterprises for energy resources make up tens of billions of rubles.

Therefore, an energy management system (EnMS) is one of the key tools ensuring the future growth of the company and its sustainable development.

The authors carried out an analysis of the EnMS implementation results achieved by 9 plants of the group within the project of the United Nations Industrial Development Organization (UNIDO) between 2014 and 2016.

Boundaries of the multiple regression method were defined to create management models for the enterprises of the mining and metallurgical complex. It was substantiated to use the evolutionary approach to increase accuracy of the enterprise’s energy efficiency management models.

Analysis and assessment of evolutionary processes in power engineering enterprises (ontogenesis and succession) at every step of the EnMS (plan-do-check-act) will provide an opportunity to select the optimum combination of methods for establishing an energy management model: a technocoenosis approach, regression analysis, fuzzy sets, artificial neural networks and a support vector machine.

The precise models of the energy efficiency management of enterprises will determine the vector of their sustainable development.

Keywords

energy management system, energy efficiency, evolutionary processes, models, mining and metallurgical complex