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Using node analysis modeling techniques to predict cab filtration system performance.

Authors
Organiscak-JA; Cecala-AB; Noll-JD
Source
2014 SME Annual Meeting, February 23 - 26, Salt Lake City, Utah, Preprint 14-004. Englewood, CO: Society for Mining, Metallurgy, and Exploration, Inc., 2014 Feb; :1-6
Link
NIOSHTIC No.
20045383
Abstract
Enclosed cab filtration systems are typically used on mobile mining equipment to reduce miners) exposure to airborne dusts and diesel particulates generated during mining operations. Various filter configurations can be used within the heating, ventilation, and air conditioning (HVAC) systems of cabs to remove the airborne contaminants. The air cleaning performance of cab filtration systems is highly dependent on the efficiency of the air filters, the number of filters used,and their placement within the HVAC system. This paper shows how to mathematically model cab filtration systems and illustrates a methodology for developing other cab filtration system design models. Node diagrams of several filtration system circuits are illustrated with their mathematical models at steady state airflow and concentration conditions. Laboratory and field data are presented to demonstrate the validity and utility of modeling enclosed cab air cleaning performance. The paper concludes that incorporating multiple filters throughout the HVAC system improves the air cleaning performance and robustness of the cab filtration system design.
Keywords
Mining-industry; Underground-mining; Coal-mining; Coal-dust; Dust-particles; Filtration; Exposure-levels; Airborne-dusts; Diesel-emissions; Diesel-exhausts; Particulates; Particulate-dust; Filters; Ventilation; Heat-regulation; Air-conditioning; Air-contamination; Mathematical-models
Publication Date
20140701
Document Type
Conference/Symposia Proceedings
Fiscal Year
2014
NTIS Accession No.
NTIS Price
Identifying No.
M112014
NIOSH Division
OMSHR
Priority Area
Mining
Source Name
2014 SME Annual Meeting, February 23 - 26, Salt Lake City, Utah, Preprint 14-004
State
PA; CO; UT
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