Mine Ventilation Network Optimization Based on Airflow Asymptotic Calculation Method

Bing Rui Li, Masahiro Inoue, Shi Bao Shen

Research output: Contribution to journalArticle

Abstract

The main objective of mine ventilation network optimization studies is to develop a reasonable method for ventilation system control that minimizes the total cost of mine ventilation. The fundamental principles for ventilation network optimization are discussed, and a multi-objective optimization model is established from the viewpoint of total cost. Furthermore, an optimization algorithm based on the airflow asymptotic calculation is presented by the hierarchical analysis of objective functions and analysis of the structure characteristics of a ventilation network. In the proposed approach, the regulated branches are determined by the directed path matrix; the optimal solution is obtained by airflow asymptotic calculation using the existing software for ventilation network analysis, and it does not need to solve the large-scale nonlinear programming problem. The results of example analysis validated the reliability of this approach.

Original languageEnglish
Pages (from-to)99-110
Number of pages12
JournalJournal of Mining Science
Volume54
Issue number1
DOIs
Publication statusPublished - Jan 1 2018

Fingerprint

Mine ventilation
airflow
Ventilation
ventilation
Nonlinear programming
Electric network analysis
Multiobjective optimization
Costs
network analysis
Control systems
cost
control system
calculation method
software
matrix
analysis

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Geology

Cite this

Mine Ventilation Network Optimization Based on Airflow Asymptotic Calculation Method. / Li, Bing Rui; Inoue, Masahiro; Shen, Shi Bao.

In: Journal of Mining Science, Vol. 54, No. 1, 01.01.2018, p. 99-110.

Research output: Contribution to journalArticle

Li, Bing Rui ; Inoue, Masahiro ; Shen, Shi Bao. / Mine Ventilation Network Optimization Based on Airflow Asymptotic Calculation Method. In: Journal of Mining Science. 2018 ; Vol. 54, No. 1. pp. 99-110.
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