It is very difficult to find any area of the state economy where metals and, in particular, steel are not required. The range of varieties has become enormous, and accordingly, the task of saving energy, fuel and resources for its manufacture becomes extremely urgent. Below in this context, we consider the procedures for the production of alloy steels, when each alloying additive has its own individual price, and the steel scheme is a narrowly specialized purpose.

In article methods of management of electric consumption with position of the general theory of systems for the purpose of reduction of disorder in power system are resulted. Management of electric consumption with the position of the general theory of systems provides the purpose of economic and uninterrupted supply of consumers with energy of the required quality.

Accurate forecasting of electricity consumption determines the success of industrial enterprises. Each enterprise, having an accurate prediction of the amount of power consumed, strictly controls it, since deviations entail disruptions in work, is subject to fines. Power consumption forecasting for a certain period is the most urgent task in today’s electricity market. Existing forecasting methods have individual characteristics and have their advantages and disadvantages. The choice of forecasting methods depends on such major factors as the time for which the forecasting is performed, as well as the amount of information. When forecasting power consumption, it is necessary to take into account various factors related to the technological features of production, organization of equipment operation, etc. The present article describes the proposed method for determining the forecasted values of power consumption parameters in terms of total and specific power consumption, which differs from the existing methods in that it takes into account when forecasting power consumption parameters, the features of production that characterize the production process, the power consumption modes of process equipment, and the impact of technological and operational factors on energy performance that affect the forecast of readings. Accounting for the above factors can significantly simplify and improve the accuracy of forecasting calculations. When determining the forecast values, the components of electricity consumption for the main, auxiliary, and additional production are directly included in the calculation. Besides, the method allows to investigate and optimize the power consumption modes of both a separate production unit and the enterprise as a whole in conjunction with the indicators of processed products and components of the technological process used. The reliability of the method is justified by calculating the energy indicators of a specific section rolling shop of the steel industry.

The article proposes a technological scheme of energy consumption for enterprises of the textile industry using technical means. On the basis of experimental studies in the field of energy saving in industrial enterprises, in particular in the tequistine industry, the main criteria for optimizing the whole variety of tasks for energy saving and assessing the corresponding energy indicators of units and enterprises in general are being developed. In addition, methodological foundations of experimental research on energy saving at operating industrial enterprises are being developed, taking into account technological and operational factors affecting energy consumption levels.

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