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Article
Calibration of Mine Ventilation Network Models using the Non-Linear Optimization Algorithm
Energies
  • Guang Xu, Missouri University of Science and Technology
  • Jinxin Huang
  • Baisheng Nie
  • Duncan Chalmers
  • Zhuoming Yang
Abstract

Effective ventilation planning is vital to underground mining. To ensure stable operation of the ventilation system and to avoid airflow disorder, mine ventilation network (MVN) models have been widely used in simulating and optimizing the mine ventilation system. However, one of the challenges for MVN model simulation is that the simulated airflow distribution results do not match the measured data. To solve this problem, a simple and effective calibration method is proposed based on the non-linear optimization algorithm. The calibrated model not only makes simulated airflow distribution results in accordance with the on-site measured data, but also controls the errors of other parameters within a minimum range. The proposed method was then applied to calibrate an MVN model in a real case, which is built based on ventilation survey results and Ventsim software. Finally, airflow simulation experiments are carried out respectively using data before and after calibration, whose results were compared and analyzed. This showed that the simulated airflows in the calibrated model agreed much better to the ventilation survey data, which verifies the effectiveness of calibrating method.

Department(s)
Mining and Nuclear Engineering
Comments
This research project is supported by Independent Research Projects of State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology (SKLCRSM15KF01). The financial support from China Scholarship Council is acknowledged.
Keywords and Phrases
  • Nonlinear programming,
  • Nonlinear systems,
  • Surveys,
  • Airflow distribution,
  • Mine ventilation network,
  • Mine ventilation systems,
  • Model calibration,
  • Non-linear optimization,
  • Non-linear optimization algorithms,
  • Ventilation systems,
  • Ventsim,
  • Mine ventilation
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2018 The Author(s), All rights reserved.
Creative Commons Licensing
Creative Commons Attribution 4.0
Publication Date
1-1-2018
Disciplines
Citation Information
Guang Xu, Jinxin Huang, Baisheng Nie, Duncan Chalmers, et al.. "Calibration of Mine Ventilation Network Models using the Non-Linear Optimization Algorithm" Energies Vol. 11 Iss. 1 (2018) ISSN: 1996-1073
Available at: http://works.bepress.com/guang-xu/3/