Abstract
The auxiliary ventilation system (AVS) is essential for managing airflow and reducing particulate matter (PM) levels in underground mine environments. Despite its importance, prior studies have insufficiently examined the optimal design of dual duct forced (DDF) AVS to improve airflow and PM management during the loading and unloading operations of diesel-powered equipment (DPE). This work addresses the research gap by utilizing a hybrid methodology to assess the effectiveness of four DDF-AVS designs (1-4) under two distinct DPE operating scenarios: (S1) DPE loading beside the working face and (S2) DPE unloading at a temporary dumpsite. The study utilized Ansys-Fluent for numerical simulations and revealed the following conclusions: the airflow field within the drift displays intricate patterns that substantially affect PM transport; S2 presents the greatest potential PM exposure danger to DPE operators, succeeded by S1. Among the designs, AVS 2 and AVS 3 exhibited efficiency by less complicated airflow patterns and optimal PM transposition within the drift. In comparison to AVS 1, the PM dispersion enhanced by 15.66% and 7.83% in S1, whereas in S2, it improved by 27% and 46% under AVS 2 and AVS 3, respectively. This research study offers significant insights for optimizing AVS designs, minimizing PM exposure to miners, and improving the underground mine environment through cleaner production techniques.
| Original language | English |
|---|---|
| Article number | e0322278 |
| Pages (from-to) | e0322278 |
| Journal | PLoS ONE |
| Volume | 20 |
| Issue number | 5 May |
| DOIs | |
| Publication status | Published - May 2025 |
Funding
Funding: This research was supported by Nazarbayev University through the Faculty Development Competitive Research Grants Program for the period 2025-2027, under Funder Project Reference: 040225FD4735 to EB, Faculty Development Competitive Research Grants Program 2023-2025, under Funder Project Reference: 20122022FD4128 to SS, Faculty Development Competitive Research Grants Program (FDCRGP) (AI and Data Science) for the period 2024–2026, under the Funder Project Reference: 201223FD2607 to EB, and Collaborative Research Program (CRP) for 2024–2026, under the Funder Project Reference: 211123CRP1606 to EB.
| Funders | Funder number |
|---|---|
| Nazarbayev University | 201223FD2607, 040225FD4735, 20122022FD4128, 211123CRP1606 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
-
SDG 11 Sustainable Cities and Communities
-
SDG 14 Life Below Water
-
SDG 15 Life on Land
ASJC Scopus subject areas
- General
Fingerprint
Dive into the research topics of 'Optimization of dual duct forced auxiliary ventilation system to mitigate particulate matter emissions in a polymetallic underground mine environment: A hybrid approach'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS