FULL-TARGETED ASPECTS OF MONITORING OF ELECTRICITY LEVELS AT ENTERPRISES OF THE INDIVIDUAL DEPARTMENT OF THE KRIIVORIZHOGY REGION
DOI:
https://doi.org/10.15588/1607-6761-2018-3-4Keywords:
electrical, consumption, cost, monitoring, model, index, management, enterpriseAbstract
Purpose. Conduct a cost-target analysis as part of monitoring electricity consumption levels and develop recommendations for a rational strategy for consuming electricity from mining enterprises with underground mining of iron ore.
Methodology. The study is based on the use of laws, regularities and categorical apparatus. In the process of scientific research, general scientific methods of research (comparison, generalization, analogy method, structural analysis and synthesis), methods of logical-theoretical analysis, special economic-mathematical methods were used.
Findings. The indicators of electricity consumption at iron ore enterprises of the Krivoy Rog region are analyzed. A comparative analysis of the planned and actual energy consumption is carried out. The trend components of electricity consumption indicators at iron ore enterprises of the Krivoy Rog region are highlighted. Dynamics of structural transformation of unit cost of electric energy production at iron ore enterprises of the Krivoy Rog region is determined.
Originality. When forming the cost-target component of monitoring the energy consumption levels, it is suggested to use the index methodology in combination with trend models, which will allow to determine the forecast of electricity consumption and realize rational management of power consumption. An index system of structural transformation of the unit cost of electric energy production at mining enterprises of the Krivoy Rog region is proposed.
Practical value. Dynamics analysis of the structural transformation of the unit cost of electric power consumption of iron ore enterprises of the Krivoy Rog region is carried out. The system of indices of the unit cost of electricity consumption is defined: the index of the average unit cost of electricity consumption of variable composition; index of unit cost of power consumption of fixed composition; the index of the average unit cost of power consumption of structural shifts. The deterministic component of the time series of electricity consumption for the iron ore enterprises of the Krivoy Rog region was singled out and analyzed. The obtained trend models give grounds for determining the forecast of electricity consumption levels with an appropriate level of reliability. The indicators of electricity consumption levels provide the formation of an information-analytical component of the relevant monitoring. The carried out researches allow to formulate the strategy of electricity consumption at the enterprises of iron ore industry of the Krivoy Rog region. The problems highlighted in the article are closely related to the scientific and practical tasks of rational use and distribution of available energy resources.
References
[1] Shydlovskyj, A. K., Pivniak, H.H., Rohoza, M.V. and Vypanasenko, S.I. (2002). Heoekonomika ta heopolityka Ukrainy, Dnipro Natsional'nyj hirnychyj universytet, 292.
[2] Sinchuk, O.M. Boiko, S.M. Sinchuk, I. O. Karamanyts, F.I. Kozakevych, I. A. Baranovska, M. I and Yalova, O.M. (2018). Aspects of the problem of applying distributed energy in iron ore enterprises electricity supply systems. Multi-authored monograph,Warsaw,Poland, 77.
[3] Burton, T., Shape, D., Jenkins, N, Bossanyi, E., (2001). Wind energy handbook, John Wiley & Sons, LTD.USA, 617
[4] Osaulenko, O. H Vasiechko, O. O. Puhachova, M. V. (2012). Statystychnyj Kyiv: DP Inform.-analit. ahentstvo”, 499
[5] Tsaruk, A. Yu. (2014). System of economic and mathematical monitoring of iron ore mining and concentrating production. Naukovyj visnyk ChDIEU. Rehional'na ekonomika, 1 (21), 47-50.
[6] Mel'nyk, O.H., Petskovych, M.D. (2012), Monitoring of enterprise activity. Lviv Polytechnic National University Institutional. Repository available at: http://ena.lp.edu.ua (Accessed 14 May 2018).
[7] Synchuk, Y.O. Huzov, E.S. Yalovaia, A.N. & Bojko S.N. (2016), Jelektrojeffektivnost' proizvodstva s podzemnymi sposobami dobychi, [Electrical efficiency of production with underground mining methods].Berlin: Izd. LAP LAMBERT Academic Publishing, 351.
[8] Yarish, O.V. and Duda, M.O. (2013). Monitoring as a component of management in different areas of practice. Naukovi pratsi Kirovohrads'koho natsional'noho tekhnichnoho universytetu. Ekonomichni nauky, 24, 25-30.
[9] Kretovych, S. S. (2018). Monitoring of the development of higher education institutions of the I-II levels of accreditation as a problem of pedagogical theory and practice/ Аvailable at: www//http://tme.umo.edu.ua/docs/6/ 11kreptp.pdf.
[10] Halitsyn, V.K., Suslov, O.P., Samchenko, N.K. (2013). Conceptual bases of monitoring, Biznes-inform. 9, 330-335.
[11] Oleksijchuk, O. M. (2006). Statistical indicators of the state budget of Ukraine. Statystyka Ukrainy, 1(32), 30-35.
[12] Puhachova, M. V. (2007). Methodological principles of use of conjuncture surveys for the analysis of the state of corporate governance at industrial enterprises. Ekonomika promyslovosti, 1, 146-155.
[13] Stohnij, B. S., Kyrylenko, O.V., Denysiuk, S.P. (2010). Technical aspects of the implementation of distributed generation sources in electrical networks. Tekhnichna elektrodynamika, 6, 44-51.
[14] (2003). IEEE Std. 15-2003. IEEE Standard for Interconnecting Distributed Resources with Electric Power Systems.
[15] Kyrylenko, O.V., Pavlovs'kyj, V.V., Luk'ianenko, L.M. (2001). Technical aspects of the implementation of distributed generation sources in electrical networks. Tekhnichna elektrodynamika, 1, 46-53.
[16] Dodonov, B. (2016). Monitorynh enerhoefektyvnosti Ukrainy. Kyiv: Naukova dumka, 20
[17] Cherniavs'kyj, A. V., Kulikova, Е.O. (2011). Analysis and forecasting of electricity consumption at dairy enterprises. Enerhetyka. Ekolohiia. Liudyna, 310-315.
[18] Rozen, V.P., Davydenko, L.V. (2010). Neural network modeling of electricity consumption of enterprises of the coal industry. Visnyk KDU imeni Mykhajla Ostrohrads'koho, 3(62), 156-160.
[19] Farret, F.A. (2006). Integration of alternative sources of energy. John Wiley & Sons Inc., 471.
[20] Simoes M.G., Farret F.A. (2000). Renewable energy systems. Design and Analysis with Induction Generators. CRC Press LLC, 353.
[21] Mareshal, B. (1988). Weight stability intervals in multicriteria decision aid. European Journal of Operational Research, 130(3), 576-587.
[22] Saade, J. J. (2000). Defuzzification techniques for fuzzy controllers. IEEE Transactions on Systems. Man and Cybernetics, 30, 1, 223-229.
[23] Zeleny, M. (1982). Multiple Criteria Decision Making: McGraw-Hill, 1982.
[24] Lissere, M., Sauter, T., Hung, J. Y. (2010). Future Energy Systems. IEEE Industrial Electronics Magasine, 4(1), 18-37.
[25] Boyomi E.H.E. (2015). Power electronics in smart grid power transmission systems: a review. Int. J. Industrial Electronics and Drives, 2, 2, 98-115.
[26] Dyachenko, V. (2015). Creation of energy saving program for power supply systems. Electrical Engineering And Power Engineering, 1, 70-76. doi:http://dx.doi.org/10.15588/1607-6761-2015-1-12
[27] Serebrennikov, B., & Petrova, K. (2013). The сontrol of the electric power consumption of the industrial enterprises with the use of the technological resource. Electrical Engineering And Power Engineering, 1, 70-76. doi:http://dx.doi.org/10.15588/1607-6761-2013-1-12
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