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Analysis of energy performance of heading sets of equipment at a coal mine

https://doi.org/10.17073/2500-0632-2020-4-367-375

Abstract

The growth of volume of tunneling, power supplied per job, and consumption of fuel and energy resources makes it necessary to increase energy performance of production processes with reducing energy losses. Tunneling conditions are determined by a combination of mutually influencing factors (geological, technological and organizational), and assessing their impact on tunneling energy performance requires a deep detailed study. For criterion assessment of tunneling performance, indicators of energy consumption, performance, and quality of tunneling performed by shift crews, allowing to objectively assess their work, were proposed. Indicators of process and specific power consumption in the process of tunneling vary over a wide range, therefore, to ensure smooth equipment operation, shift crews must adhere to the recommended indicators that determine the optimum rates of tunneling and enables adherence to permissible operation modes. Statistical models of energy performance indicators of heading sets of equipment operation were investigated using the example of the Severnaya coal mine. Indicators of energy consumption, energy performance, and tunneling (on shift basis) were proposed. Distribution laws have been determined for the main indicators characterizing tunneling energy performance. Recommendations have been developed to ensure sustainable operation of heading sets of equipment throughout the entire period of tunneling. Tunneling requires permanent monitoring its parameters and rates of advance, the quality of face preparation, timely maintenance and repair of machinery and equipment, control of the process through ensuring optimal operating modes of the heading sets of equipment.

About the Author

A. B. Sadridinov
Energoblok-M LLC
Russian Federation
Moscow


References

1. Pichuev A. V., Sadridinov A. B. Methods for assessing energy performance of tunneling in urban underground construction. In: Proc. of international scientific and technical conf. "Improving techniques of construction of mines and structures." Donetsk, Ukraine. 2012;18:25-27. (In Russ.)

2. Pichuev A. V., Sadridinov A. B. Energy characteristics of selective tunneling machines. Mining Information and Analytical Bulletin (scientific and technical journal). 2013;(9):348-350. (In Russ.)

3. Liu X., Zhang Y., Zhang K. Optimization control of energy consumption in tunneling system of earth pressure balance shield tunneling machine. Engineering Letters. 2020:28(2):551-558.

4. Liu X., Zhao Z. Coordinated optimization control of shield tunneling machine based on predictive function control. Engineering Letters. 2020:28(3):281-287.

5. Liu X., Shao C. Present status and prospect of shield machine automatic control technology. Jixie Gongcheng Xuebao. Journal of Mechanical Engineering. 2010;46(20):152-160. DOI: 10.3901/JME.2010.20.152

6. Zhang Q., Qu C., Kang Y., Huang G., Cai Z., Zhao Y., Zhao H., Su P. Identification and optimization of energy consumption by shield tunnel machines using a combined mechanical and regression analysis Tunnelling and Underground Space Technology. 2012;28(1):350-354. DOI: 10.1016/j.tust.2011.12.003

7. Yang X., Gong G.-F., Yang H.-Y., Jia L.-H., Ying Q.-W. A cutterhead energy-saving technique for shield tunneling machines based on load characteristic prediction. Journal of Zhejiang University: Science A. 2015;16(5):418-426. DOI: 10.1631/jzus.A1400323

8. Lyakhomskiy A., Perfilieva E., Petrochenkov A., Bochkarev S. Conceptual design and engineering strategies to increase energy efficiency at enterprises research, technologies and personnel. In: Forum Strategic Partnership of Universities and Enterprises of Hi-Tech Branches (Science. Education. Innovation 2015 4th).2015. P. 44-47.

9. Dzyuban V. S., Shirin I. G., Vaneev B. N., Gostishchev V. M. Coal Mine Power Engineer Handbook. Ed. B. N. Vaneev Donetsk: Yugo-Vostok LTD Publ.; 2001. (In Russ.)

10. Lyakhomskiy A., Perfilieva E., Kychkin A., Genrikh N. A software-hardware system of remote monitoring and analysis of the energy data. Russian Electrical Engineering. 2015;86(6):314-319.

11. Zhang T., Neil Taylor R., Zheng G., Sun J., Fan Q., Diao Y., Zhou H. Modelling ground movements near a pressurised tunnel heading in drained granular soil. Computers and Geotechnics. 2018;104:152-166. DOI: 10.1016/j.compgeo.2018.08.015

12. Gabov V. V., Zadkov D. A. Energy-saving modular units for selective coal cutting. Eurasian Mining, 2016;(1):37-40. DOI: 10.17580/em.2016.01.06

13. Fashilenko V., Reshetnyak S. Improving the energy performance of industrial enterprises. In: Miner's week – 2015. Reports of the XXIII international scientific. 2015. P. 570-573.

14. Dias D., Kastner R. Movements caused by the excavation of tunnels using face pressurized shields - Analysis of monitoring and numerical modeling results. Engineering Geology. 2013;152(1):17-25. DOI: 10.1016/j.enggeo.2012.10.002

15. Lu S. Coal mining industrial robots the institutions of the modeling and simulation. Advanced Materials Research. 2012;482-484:1490-1494. DOI: 10.4028/www.scientific.net/AMR.482-484.1490

16. Ryzhov P. A. Mathematical statistics in mining: Manual for graduate students with specialization in Mine Surveying. Мoscow: Vysshaya Shkola Publ.; 1973. 287 p. (In Russ.)

17. Matskevich I. P., Svirid G. P. Higher mathematics. Probability theory and mathematical statistics. Minsk: Vysshaya Shkola Publ.; 1993. (In Russ.)

18. Beglyakov V. Y., Aksenov V. V., Kostinets I. K., Khoreshok A. A. Determining the forces of geokhod main systems interaction with geoenvironment and each other. 2017;(4):23-30 2017;(4):23-30. DOI: 10.17073/2500-0632- 2017-4-23-28 (In Russ.)


Review

For citations:


Sadridinov A.B. Analysis of energy performance of heading sets of equipment at a coal mine. Mining Science and Technology (Russia). 2020;5(4):367-375. (In Russ.) https://doi.org/10.17073/2500-0632-2020-4-367-375

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ISSN 2500-0632 (Online)