Automation in Detection of Recirculation in a Booster Fan Ventilation Network

Details

• Personal Author:
  Calizaya, Felipe ; Mahesh S
• Description:
  Recirculation is prohibited in many coal mining countries because of the fear that the re-use of return air would allow the build-up of air contaminants at the workings. The incorrect design and location of a booster fan in any ventilation network can create unsafe condition due to recirculation. The current approach to investigating recirculation using simulation software requires manual effort which becomes tedious in a complex and a large network. An algorithm-based C++ program was designed to detect the recirculation in a booster fan ventilation networks. This program needed an input file prepared from output file generated by any ventilation simulator. This program created an output file for recirculation. This program demonstrated the strong capability to detect the recirculation in a sample network and a coal mine ventilation network. The outcomes of this program were documented in this paper. [Description provided by NIOSH]
• Subjects:
  Air Pollutants, Occupational Automation Mining Occupational Health Safety Ventilation
• Keywords:
  Air Contaminants Author Keywords: Recirculation Booster Fan Simulation Methods Underground Mining Ventilation Equipment
• ISSN:
  2095-2686
• Document Type:
  Text
• Funding:
  Contract
• Genre:
  Journal Article
• Place as Subject:
  OSHA Region 8 ; Utah
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  28
• Issue:
  3
• NIOSHTIC Number:
  nn:20068918
• Citation:
  Int J Min Sci Technol 2018 May; 28(3):513-517
• Contact Point Address:
  Mahesh Shriwas, Department of Mining Engineering, University of Utah, Salt Lake City 84112, USA
• Email:
  maheshshriwas1971@gmail.com
• Federal Fiscal Year:
  2018
• Performing Organization:
  University of Utah
• Peer Reviewed:
  True
• Start Date:
  20150901
• Source Full Name:
  International Journal of Mining Science and Technology
• End Date:
  20171031
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:427b31ffbae647c0f0f3a45b728c840a7671e4035b4f9090bff00b6f6e36632bfb24197aabbcb6b3be17fbc7a1c9dfb5a560a581aaf03b6860a8c5bba62c74c1
• Download URL:
  https://stacks.cdc.gov/view/cdc/207481/cdc_207481_DS1.pdf
• File Type:
  [PDF - 686.22 KB ]