CONTROL OF ENERGY EFFICIENCY IN INDUSTRY AND HOUSING AND COMMUNAL SERVICES
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UDC 51-74
Integrated Control of Energy Intensity of Metallurgical Production
L.S. Kazarinov, South Ural State University, Chelyabinsk, Russian Federation, kazarinov@ait.susu.ac.ru
T.A. Barbasova, South Ural State University, Chelyabinsk, Russian Federation, barbasovata@susu.ac.ru
Abstract
Questions of the method of planning and control of power intensity of productions on the basis of the complex analysis of these power inspections and data of operation are considered.It is offered to use methodology, algorithms and software of forecasting and rationing of energy intensity on the basis of the complex analysis of energy inspections and operation data.Dependences the energy intensity on production volumes on the basis of data of power examination of technological process and data of operation are defined. The task for production divisions based on management of technological processes to minimize consumption of resources at the set performance levels is considered.On the basis of the considered approach to control of use of energy resources in combination with Мonitoring&Тargeting-technology it is possible to organize the formalized procedures of consecutive improvement of power efficiency of technological processes in multilevel statement.
Keywords
integrated resource planning, energy efficiency, prediction
References
1. Kumar S.A., Suresh N. Production and Operations Management. New Age International (P) Ltd., 2009, 284 p.
2. Modrak V., Pandian R.S. Operations Management Research and Cellular Manufacturing Systems: Innovative Methods and Approaches. IGI Global Snippet, 2011, 456 p.
3. Gobetto M. Operations Management in Automotive Industries: From Industrial Strategies to Production Resources Management, Through the Industrialization Process. Springer Science+Business Media Dordrecht, 2014, XXII, 245 p. DOI: 10.1007/978-94-007-7593-0
4. Kazarinov L.S., Barbasova T.A., Kolesnikova O.V., Zakharova A.A. [Method of Multilevel Rationing and Optimal Forecasting of Volumes of Electric_Energy Consumption by an Industrial Enterprise] Automatic Control and Computer Sciences, 2014, vol. 48, no. 6, pp. 324–333. DOI: 10.3103/S0146411614060054
Source
Bulletin of the South Ural State University. Ser. Computer Technologies, Automatic Control, Radio Electronics, 2015, vol. 15, no. 2, pp. 121-124. (in Russ.) (Brief Reports)