Utilizing Nonlinear Autoregressive with Exogenous Input Neural Networks to Evaluate the Thermal Flywheel Effect Along Intake Shafts at Nevada Mines

Details

• Personal Author:
  Kocsis K ; Scalise KA
• Description:
  Understanding the climatic conditions in underground mines is necessary for efficient ventilation design, cost savings, and to ensure the health and safety of mine workers. Large volumes of ventilation and climatic data including air volume, barometric pressure, dry bulb temperature, and relative humidity were collected at active underground precious metal mines in Nevada, which allows for the determination of wet bulb temperature and other key parameters. Through the utilization of neural networks, the wet bulb temperature at the bottom of the intake shafts is predicted, while taking into account the "thermal flywheel effect" (TFE). Wet bulb temperature is one of the most important climatic parameters to model and understand because it significantly affects the work conditions and the cooling capacity of the ventilating air. The accurate prediction of the dry bulb and the wet bulb temperatures at the bottom of intake shafts is critical when assessing the climatic conditions in future underground mines and deciding on whether a cooling system is needed to assure adequate working conditions throughout the mine. By utilizing accurate predictions of wet bulb temperatures and other climatic parameters, mine personnel will be safer as reported by Bluhm et al. (2003), and a more accurate ventilation design can be achieved resulting in major cost savings for underground mines. [Description provided by NIOSH]
• Subjects:
  Mining Occupational Health Safety Temperature Ventilation
• Keywords:
  Air Temperature Author Keywords: Climatic Modeling Climatic Conditions Cooling Systems Environmental Control Equipment Metal Mining Mining Engineering Neural Networks Thermal Damping Effect Thermal Effects Thermal Flywheel Effect Underground Mines

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• ISSN:
  2524-3462
• Document Type:
  Text
• Funding:
  Contract
• Genre:
  Journal Article
• Place as Subject:
  Nevada ; OSHA Region 8 ; OSHA Region 9 ; Utah
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  38
• Issue:
  3
• NIOSHTIC Number:
  nn:20062726
• Citation:
  Min Metall Explor 2021 Jun; 38(3):1395-1410
• Contact Point Address:
  Kyle A. Scalise, Mining and Metallurgical Engineering Department, University of Nevada, Reno, Reno, NV, USA
• Email:
  kscalise@nevada.unr.edu
• Federal Fiscal Year:
  2021
• Performing Organization:
  University of Nevada, Reno
• Peer Reviewed:
  True
• Start Date:
  20140901
• Source Full Name:
  Mining, Metallurgy & Exploration
• End Date:
  20190831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:7311e3ba338f3485434fd7914e35fa8beabfc77d5e37688ba215d9f27dda44909d4358de1ef350c42f535b8a390d8151398369695c81f9f0b0b9d4770595bd48
• Download URL:
  https://stacks.cdc.gov/view/cdc/225917/cdc_225917_DS1.pdf
• File Type:
  [PDF - 3.05 MB ]