Abstract
Metallurgical industry, which is characterized by high power consumption, is the most energy-intensive industry for the Russian Federation. Primary role in the optimization of electricity consumption by a powerful technological equipment is given to development and introduction of a complex of energy-saving measures, obtained during the study of energy consumption parameters on the basis of power inspection (power audit) in large industrial enterprises. This allows to track the entire process of electricity production and to explore the effect of various technical and economic factors on it. The importance of the factors in the whole cycle can be estimated in the mathematical modeling of power consumption by means of active and passive experiments, thermal and energy analysis, the use of consumer-regulator (CR), etc. The article presents the results obtained during the energy audit at the enterprise of ferrous metallurgy for the production of hard alloys. The comprehensive methodology for the investigation of thermal and power characteristics for consumers of non-ferrous metallurgy for the production of hard alloys, which allows to obtain statistical estimates of power consumption in static and dynamic work conditions of the enterprise have been developed. Minimized energy cost component in production costs by improving the quantitative objective function: the use of consumer-regulator (CR) of electricity in the peak areas of the day; reduction of specific energy consumption in stationary and dynamic operating conditions of the process equipment. The mathematical model for calculating and forecasting of specific consumption of electricity in the range of technological equipment protection was obtained.
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Acknowledgements
The results were reflected in the Grant of the President of the Russian Federation for support of young scientists: MК-1324.2007.8 on “Research and development of mathematical models of power quality in the non-ferrous metallurgy enterprises”.
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Klyuev, R.V., Bosikov, I.I., Alborov, A.D. (2020). Research and Mathematical Modeling of the Thermal and Power Performance of Resistance Furnaces at Metallurgical Enterprises. In: Radionov, A., Karandaev, A. (eds) Advances in Automation. RusAutoCon 2019. Lecture Notes in Electrical Engineering, vol 641. Springer, Cham. https://doi.org/10.1007/978-3-030-39225-3_69
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