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Evgenii L. Grishin
Evgenii L. Grishin
head of the sector, Ph.D.
Mining Institute of the Ural Branch of the Russian Academy of Sciences
Perm Russia
head of the sector, Ph.D.
Mining Institute of the Ural Branch of the Russian Academy of Sciences
Perm
Russia
8
Total cited
2
Hirsch index

Co-authors

Articles

  • Date submitted
    2020-05-26
  • Date accepted
    2020-09-23
  • Date published
    2021-01-23

Automated ventilation control in mines. Challenges, state of the art, areas for improvement

The article is divided into three main parts. The first part provides an overview of the existing literature on theoretical methods for calculating the optimal air distribution in mines according to the criteria of energy efficiency and providing all sections of mines with the required amount of air. It is shown that by the current moment there are many different formulations of the problem of searching the optimal air distribution, many different approaches and methods for optimizing air distribution have been developed. The case of a single (main) fan is most fully investigated, while for many fans a number of issues still remain unresolved. The second part is devoted to the review of existing methods and examples of the automated mine ventilation control systems implementation in Russia and abroad. Two of the most well-known concepts for the development of such systems are automated ventilation control systems (AVCS) in Russia and the CIS countries and Ventilation on demand (VOD) abroad. The main strategies of ventilation management in the framework of the AVCS and VOD concepts are described and also the key differences between them are shown. One of the key differences between AVCS and VOD today is the automatic determination of the operation parameters of fan units and ventilation doors using the optimal control algorithm, which is an integral part of the AVCS. The third part of the article describes the optimal control algorithm developed by the team of the Mining Institute of the Ural Branch of the Russian Academy of Sciences with the participation of the authors of the article. In this algorithm, the search for optimal air distribution is carried out by the system in a fully automated mode in real time using algorithms programmed into the microcontrollers of fans and ventilation doors. Minimization of energy consumption is achieved due to the most efficient selection of the fan speed and the rate of ventilation doors opening and also due to the air distribution shift control and the partial air recirculation systems introduction. It is noted that currently the available literature poorly covers the issue related to emergency operation modes ventilation systems of mines and also with the adaptation of automated control systems to different mining methods. According to the authors, further development of automated ventilation control systems should be carried out, in particular, in these two areas.

Read more
Mikhail A. Semin, Evgenii L. Grishin, Lev Yu. Levin, Artem V. Zaitsev (2021) Automated ventilation control in mines. Challenges, state of the art, areas for improvement. Journal of Mining Institute. Vol 246. p. 623-632. DOI: 10.31897/PMI.2020.6.4