Study of electricity consumption in a melting shop using the methods of correlation regressive analysis

ПОДЕЛИТЬСЯ С ДРУЗЬЯМИ
Авторы


Candidate of economic sciences, associate professor of the department of management and branch economics
Russia, Siberian State Industrial University
efremkova@yandex.ru

Аннотация

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.

Ключевые слова

Power consumption for technological purposes, metallurgical enterprise, correlation-regression analysis, regression models of dependence, forecast of technological energy consumption.

Категории статьи:

Read also

Статья также доступна (this article also available):

Рекомендуемая ссылка

Efremkova Tat'jana Ivanovna
Study of electricity consumption in a melting shop using the methods of correlation regressive analysis// Современные технологии управления. ISSN 2226-9339. – #6 (78). Номер статьи: 7801. Дата публикации: . Режим доступа: http://sovman.ru/en/article/7801/

Full article text is available only in Russian.
Please select from the menu Russian language and continue reading.


Библиографический список

  1. Efremkova T.I. Electricity consumption planning efficiency in an electric melting shop [Ocenka jeffektivnosti planirovanija rashoda jelektrojenergii na tehnologicheskie celi v jelektrostaleplavil’nom cehe metallurgicheskogo predprijatija] // Modern technology management/ ISSN 2226-9339. — №5 (77). Article number: 7701. Date of publication: 2017-05-14. Access mode: http:// ru/article/7701/
  2. Мethods of planned specific power consumption calculation for basic elecrtric steel melting shop aggregates in  2010 in  «EVRAZ Ltd.» [Metodika opredelenija planovoj udel’noj normy potreblenija jelektricheskoj jenergii na osnovnye agregaty jelektrostaleplavil’nogo ceha na 2010 g. v OAO «EVRAZ ZSMK»]  – Новокузнецк:  EVRAZ, 2011. – 5 p.
  3. Econometrics [Jekonometrika]: textbook/I.I. Eliseeva, S.V. Kurysheva, T.V. Kosteeva; ed. I.I. Eliseeva – 2-nd edt., updated and revised. – М.: Finances and statistics, 2007. – 576 p.
  4. Bazhinov A. N., Ershov E. V. Electricity consumption calculation model for metallurgical enterprises. The algorithm of significant factors selection [Prognoznaja model’ jelektropotreblenija predprijatiem metallurgicheskogo profilja. Algoritm otbora znachimyh faktorov] //Modern tendencies of technical sciences : international conference materials. (Ufa, October 2011 ). – Ufa: Sumer, 2011. – p. 48-51.
  5. Bijatto E. V., Sharmanova G. Ju., Privalihina K. K. Factors influencing electricity consumption.. Consumption analysis based on consolidated power system data. 2012–2014 [Zavisimost’ jelektropotreblenija ot vlijanija razlichnyh faktorov. Analiz potreblenija jelektrojenergii po OJeS i jenergosistemam 2012–2014 gg.]// Young scientist. – 2015. – №6. – p. 126-129.
  6. Makokljuev B.I., Antonov A.V., Polizharov A.S., others. Weather influence on power system electricity consumption regime [Vlijanie meteofaktorov na rezhimy potreblenija jelektrojenergii jenergosistem] // Problems of major power systems safety research.: Vol. 65. Liberalised power systems reliability : achievements, problems, prospects, Russian Academy of Science, 2015 г. // Energostat: Softwear and technological supply for power industry. http://www.energostat.ru/articles/articles_list_POWER_PLAN/doclad_Makocliuev_B_I_Energostat_Nadyozhnostpdf.
  7. Solomkin A.V. Сonnectionist methods application for electricity consumption calculation [Primenenie nejrosetevyh metodov dlja prognozirovanija potreblenija jelektrojenergii] // Mordovsky State University after N. P. Оgariov 2009 .http://fetmag.mrsu.ru/2009-3/pdf/Forecasting_electricity_consumption.pdf.
  8. Tombasova A.A. The influence of miscellaneous factors on energy consumption mode [Ocenka zavisimosti rezhima jelektropotreblenija ot vlijanija razlichnyh faktorov] // Siberian Federal University. 2010. – conf.sfu-kras.ru/sites/ mn201 l/thesis/s4/s4l 57.pdf.
  9. Hoshimov F.A. Mavljanberdieva G.G. Technological factors influence on specific electricity consumption in raw silk production [Ocenka vlijanija tehnologicheskih faktorov na udel’nyj rashod jelektrojenergii pri proizvodstve shelka-syrca] // Physics of fibre materials: structure, properties, high teсh and materials. (SMARTEX). 2016. V. 1. № 1. p. 341–344.
  10. Сlimate monitoring [Klimaticheskij monitor]// http://www.pogodaiklimat.ru/monitor.php?id=29846. –
  11. Gushhina L.B. Detailed economic analyses method development of non-traditional constituents influence on electric melting process [Razrabotka metodiki detalizirovannogo jekonomicheskogo analiza vlijanija netradicionnogo sostava syr’ja na jelektrostaleplavil’nyj process]: candidate thesis …: 08.00.05. – Spb., 1999. – 148 p.
  12. Kopcev L.A., Zhuravlev Ju.P. Vestnik of South Ural State University.: Computer technologies, management, radioelectronics.2008. №17 (117). p. 13–20.
  13. Kudrin B I. Electricity consumption in electric metallurgy [Jelektropotreblenie v jelektrometallurgii] // Electrica. – – № 9. – p. 35-45.
  14. Kuznecov A.A., Molodyh A.V. The use of gas-oxygen burner to intensify melting process in an arc furnace [Primenenie gazokislorodnyh gorelok dlja intensifikacii processa plavki v dugovoj staleplavil’noj pechi] // Vestnik nauchnoy conferencii . № 2-1 (2). p. 87-88
  15. Malofeev A.E. Steel melting process upgrading in a modern electric arc furnace using mathematical modeling [Sovershenstvovanie tehnologii vyplavki stali v sovremennoj dugovoj jelektropechi s ispol’zovaniem matematicheskogo modelirovanija] … cfndidate thesis: 05.16.02. – Маgnitogorskl, 2010. – 130 p.
  16. Pavlov V.V., Logunova O.S., Pavlov I.V. An Empirical model of furnace charge for work in power saving mode [Jempiricheskaja model’ kompanovki shihty v DSP dlja raboty v jenergosberegajushhem rezhime]// Steel. 2014. № 5. p.31–35
  17. Pavlov V.V., Ivin Ju.A., Pehterev S.V. and others. The influence of metal scrap components on electric arc furnace efficiency [Vlijanie frakcionnogo sostava metalloloma na pokazateli raboty dugovoj staleplavil’noj pechi] // Electrometallurgy. 2011 . № 11. p. 2–6.
  18. Rahmonov I.U., Rasulov A.N. Steel semi-product melting intensification in hyper-powerful arc furnaces by means of power modes optimization [Intensifikacija plavki stal’nogo poluprodukta v sverhmoshhnyh dugovyh jelektropechah putem optimizacii jenergeticheskih rezhimov] // Vestnik MEI . 2016. № 2. p.22–24.
  19. Sutjagin K.L. Development of calculation method to predict arc furnaces productivity [Razrabotka metoda prognozirovanija pokazatelej raboty dugovyh staleplavil’nyh pechej]: candidate thesis 05.16.02. – Spb., 2006. – 160с.
  20. Hor’kov S.A. Energy consumption calculation in the process of an industrial enterprise inspection [Raschety jelektropotreblenija pri jenergeticheskom obsledovanii promyshlennogo predprijatija]: Study giude / S.А. Horkov– Izhevsk, Udmurt State University, 2011. – 111 p.
  21. Shabanov P.A., Volkov K.V., Kuznecov E.P., Aleksandrov I.V., Batalov A.Ju. Production key figure change in melting process due to scrap selection in rail steel production [Izmenenie tehniko-jekonomicheskih pokazatelej pri vyplavke rel’sovoj stali za schet sortirovki metalloloma po soderzhaniju ostatochnyh jelementov] // Ме 2014. № 6. p. 93–96.