Title

Minimizing DPM Pollution in an Underground Mine by Optimizing Auxiliary Ventilation Systems using CFD

Abstract

Diesel particulate matter (DPM) is a carcinogen to humans. Underground miners have the potential to expose to higher DPM concentrations since the working environment is confined. To address the DPM pollution issues and optimize the auxiliary ventilation system, a development face in an underground mine in Western Australia was taken as the physical model and the computational fluid dynamics was used to analyse the airflow characteristics and DPM concentration distributions in the development face. Then, the obtained simulation results were validated with the onsite measurement data. The DPM concentration distributions under 3 scenarios, with different duct lengths, were further compared with the AIOH standard for DPM (0.1 mg/m3). The results found that the current auxiliary ventilation system was not able to reduce the DPM concentration effectively, and the ventilation system with a duct length 5 m longer than the actual duct length provided a better DPM dilution performance. The finding of this paper is helpful for effective DPM control and auxiliary ventilation design for the further mining activities.

Department(s)

Mining Engineering

Comments

This research project is supported by the Independent Research Projects of State Key Laboratory of Coal Resources and Safe Mining , CUMT (SKLCRSM15KF01), the Minerals Research Institute of Western Australia (M495), the Mining Education Australia Collaborative Research Grant Scheme (2018), and the computation resources provided by the Pawsey Supercomputing Centre with funding from the Australian Government and the Government of Western Australia.

Keywords and Phrases

Air; Computational fluid dynamics; Ducts; Lagrange multipliers; Pollution; Airflow characteristics; Auxiliary ventilation; Concentration distributions; Diesel particulate matters; Eulerian-Lagrangian method; On-site measurement; Underground mines; Working environment; Ventilation; Airflow; Computational fluid dynamics; Concentration (composition); Diesel; Eulerian analysis; Mine; Optimization; Particulate matter; Ventilation; Australia; Western Australia

International Standard Serial Number (ISSN)

0886-7798

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2019 Elsevier, All rights reserved.

Publication Date

01 May 2019

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