Study of electricity consumption in a melting shop using the methods of correlation regressive analysis
Efremkova Tat'jana Ivanovna
Candidate of economic sciences, associate professor of the department of management and branch economics
Russia, Siberian State Industrial University
The study proves that specific consumption of electricity for technological use in a Evraz Ltd. West Siberian Metallurgical Plant melting shop doesn’t depend on average monthly temperature in Novokuznetsk. Therefore electricity consumption can be planned irrespective of a season.
The article also proves facts demonstrating higher efficiency of regressive calculation models in comparison with existing models. The calculations were made for average daily steel production in an electric melting shop, electric furnace №1 and vacuum vessel, irrespective of the season.
There’s also a study of specific electricity consumption depending on technological peculiarities characteristic of the arc furnace№2. As a result of this study adequate regression calculation models of electricity consumption were obtained. They depend on the average melting process duration. The accuracy of planning according to these models matches the existing methods. Obtained regressive models can be used in a melting shop to control the accuracy of existing calculation methods and to plan electricity consumption for each particular melting process.
Power consumption for technological purposes, metallurgical enterprise, correlation-regression analysis, regression models of dependence, forecast of technological energy consumption.
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