Experimental Study of Improving a Mine Ventilation Network Model Using Continuously Monitored Airflow

Details

• Personal Author:
  Bahrami D ; Thomas RA ; Yuan L ; Zhou L
• Description:
  A calibrated and well-tuned ventilation network model plays a critical role in mine ventilation planning, optimization, and ventilation control. Moreover, it is critical to the mine fire simulation program as well since the fire simulation is built upon the mine ventilation model. The contaminants generated from a fire are transported by airflows throughout the mine ventilation system. The accuracy of the fire simulation results not only depends on the fire source model itself but also on the ventilation network model. With the increasing use of atmospheric monitoring systems in underground mines, airflow is continuously monitored using airflow sensors in the key areas of mines to ensure a steady and reliable ventilation. Experimental studies have been conducted at an experimental mine, the Safety Research Coal Mine (SRCM), to gain a better understanding on how to use the continuously monitored airflow data to improve the calibration of the mine ventilation network model. This paper introduces an improved method to calibrate a ventilation network using continuous airflow monitoring and addresses the practical problems encountered while calibrating and tuning the ventilation network of the SRCM using continuously monitored airflow data. In this study, the fluctuation of the air velocity sensor readings is analyzed, and the sensor location correction factors are applied to obtain a more accurate average air velocity for the ventilation network calibration. [Description provided by NIOSH]
• Subjects:
  Fires Mining Occupational Health Safety Ventilation
• Keywords:
  Airflow Airflow Monitoring Atmospheric Monitoring System Author Keywords: Mine Ventilation Barometric Pressure Fire Hazards Mining Industry Models Monitoring Systems Sensors Simulation Methods Underground Mines Underground Mining Ventilation Network

  More +
• Series:
  Mining Publications
• ISSN:
  2524-3462
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 3 ; Pennsylvania
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  PMRD - Pittsburgh Mining Research Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  39
• Issue:
  3
• NIOSHTIC Number:
  nn:20064769
• Citation:
  Min Metall Explor 2022 Jun; 39(3):887-895
• Contact Point Address:
  L. Zhou, Pittsburgh Mining Research Division, National Institute for Occupational Safety and Health (NIOSH), Pittsburgh, PA
• Email:
  itn2@cdc.gov
• Federal Fiscal Year:
  2022
• NORA Priority Area:
  Mining
• Peer Reviewed:
  True
• Source Full Name:
  Mining, Metallurgy & Exploration
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:112f428acf1a1e3f7802071094e318a1ddf66b1031df290f745431b7c582e61ddf86522340fd39f716b9ad6de9e86d7b03634304b38158e18eded67a2b2c3a2a
• Download URL:
  https://stacks.cdc.gov/view/cdc/215527/cdc_215527_DS1.pdf
• File Type:
  [PDF - 1.43 MB ]