ArticleName |
Substantiation of the method for determination of design electric demand for diamond ore mines in the permafrost zone |
ArticleAuthorData |
NUST MISIS, Moscow, Russia:
A. V. Lyakhomskiy, Head of Chair, Professors, Doctor of Engineering Sciences L. A. Plashchanskiy, Professor, Candidate of Engineering Sciences, pla3768@yandex.ru |
Abstract |
The external power supply for a diamond mine is selected by feasibility studies of all alternatives. The key governing factors of electric power supply engineering should be the characteristics of power sources and consumer in terms of reliable uninterrupted supply and safety of use. In this respect, the present authors substantiate the method for the determination of design values and load factors with regard to actual energy consumption modes in open pit diamond mines in the permafrost zone. For the RF Standard: Design Rules for Open Pit Diamond Mines in the Permafrost Zone (Power Supply) under development, the methods of accounting for specific energy consumption, energy demand factor, as well as average capacity and deviation from mean design load are recommended. The proposed procedures differ from the standard technical documentation now in force not in the structure but in the content. The newly offered average and maximum capacities, as well as coefficients of peak and shape of power system load curve are reflective of the actual picture of power consumption as they are obtained from processing of representative statistics on energy demand of various production processes and departments of diamond mines operating in the permafrost zone. The statistical method using two integral characteristics, namely, integral average load and general standard deviation, offers higher accuracy. This method provides an accurate value of the customer contract demand in the time of peak load in the electric power system. Furthermore, the method is advantageous for the maximum agreement of the calculated and actual load. |
References |
1. Shakhnazarov A. G., Livshits V. N., Kossov V. V. Methodical guides on avaluation of efficiency of investment projects. 2nd ed. Moscow : Ekonomika, 2000. 421 p. 2. Plashchanskiy L. A., Puntsag Kh. Formation of electrical loads in gold mines in Mongolia. GIAB. 2000. No. 11. pp. 213–217. 3. Lyakhomskiy A. V. Modeling loads by multi-level clustering. Izvestiya vuzov. Elektromekhanika. 1989. No. 5. 4. Plashchanskiy L. A., Zaripov Sh. U. Porbabilistic model of electrical load formation at the Navoi Mining and Metallurgical Combinat. GIAB. 2009. Special issue 8. Electrification and energy saving. pp. 9–14. 5. Marais L., Nel E. The dangers of growing on gold: Lessons for mine downscaling from the Free State Goldfields, South Africa. Local Economy. 2016. Vol. 31, Iss. 1-2. pp. 282–298. 6. Vietti A. J. A strategy for improving water recovery in kimberlitic diamond mines. Journal of the Southern African Institute of Mining and Metallurgy. 2019. Vol. 119, No. 2. pp. 165–171. 7. Kubrin S. S., Reshetnyak S. N. Automated information and measuring system of technical accounting of electric energy in underground mining. Gornyi Zhurnal. 2016. No. 1. pp. 87–90. DOI: 10.17580/gzh.2016.01.18 8. Reshetnyak S., Bondarenko A. Analysis of Technological Performance of the Extraction Area of the Coal Mine. Proceedings of the III International Innovative Min ing Symposium. 2018. E3S Web of Conferences. Kemerovo, 2018. Vol. 41. 01014. 9. Kopylov K. N., Kubrin S. S., Reshetnyak S. N. Improvement of energy efficiency and safety in coal longwalls. Gornyi Zhurnal. 2019. No. 4. pp. 85–88. DOI: 10.17580/gzh.2019.04.19 10. Sopov V. I., Shchurov N. I. Electrical loads in traction power supply system. Novosibirsk : Izdatelstvo Novosibirskogo gosudarstvennogo tekhnicheskogo universiteta, 2017. 171 p. 11. Livshits V. Foundations of Theory and Methods of Calculating Electrical Loads of Industrial Enterprises. New York : Liberty Publishing House, 2017. 236 p. 12. Ghijselen J. A., Ryckaert W. A., Melkebeek J. A. IInfluence of electric power distribution system design on harmonic propagation. Electrical Engineering. 2004. Vol. 86, Iss. 4. pp. 181–190. 13. Wieland T., Reiter M., Schmautzer E., Fickert L., Lagler M. A., Eberhant S. Gleichzeitigkeitsfaktoren in der elektrischen Energieversorgung – Konventioneller und probabilistischer Ansatz. Elektrotechnik und Informationstechnik. 2014. Vol. 131, Iss. 8. pp. 249–255. 14. Zhezhelenko I. V., Stepanov V. P., Bykhovskaya O. V. Probabilistic modeling design electrical loads on industrial facilities. Elektrichestvo. 1983. No. 7. 15. Parmar J. Total Losses in Power Distribution and Transmission Lines (Part 1). 2013. Available at: https://electrical-engineering-portal.com/total-losses-in-power-distribution-and-transmissionlines-1 (accessed: 19.06.2019). 16. Parmar J. Total Losses in Power Distribution and Transmission Lines (Part 2). 2014. Available at: https://electrical-engineering-portal.com/total-losses-in-power-distribution-and-transmissionlines-2 (accessed: 19.06.2019). 17. Park J. H., Kim S. K., Yoon Y. T. A New Required Reserve Capacity Determining Scheme with Regard to Real time Load Imbalance. Journal of Electrical Engineering Technology. 2015. Vol. 10, No. 2. pp. 511–517. 18. Al-Jufout S. A. Evaluating the error caused by load ignorance through simulation of short circuit in electrical power systems. Quality and Reliability Engineering International. 2008. Vol. 24, Iss. 8. pp. 891–895. |