Optimization of ventilation system in deep well gold mine based on Ventsim

To address issues like excessive energy consumption, insufficient deep air intake, and improper airflow control, optimizations were made to both the shallow and deep ventilation systems. By conducting comprehensive wind measurements across the entire mine, the distribution of underground wind speed and airflow was thoroughly understood, allowing for an analysis of the mine’s ventilation capacity and wind resistance. A theoretical model of underground ventilation and wind resistance was developed using Ventsim software. Additionally, a three-dimensional numerical model of Linglong Gold Mine’s ventilation system was created with three-dimensional ventilation numerical simulation software. This model facilitated dynamic airflow simulation within the ventilation system, enabling the proposal of optimization and adjustment plans. The effects of air regulation were simulated and analyzed to optimize the ventilation network. Results indicate that, following the optimal adjustment scheme for deep airflow distribution, airflow disorder can be resolved and air supply in deep mining areas can be increased, effectively addressing the issue of insufficient air supply there. Post-optimization, the ventilation system’s stability is improved, and air volume distribution becomes more reasonable, providing valuable guidance for Linglong Gold Mine’s ventilation management.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-04-17
DOI
https://doi.org/10.1051/e3sconf/202562503010/pdf
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of ventilation system in deep well gold mine based on Ventsim

Springer Link (Chiba Institute of Technology)
Mycorrhizal Fungi and Plant Interactions
article

Optimization of ventilation system in deep well gold mine based on Ventsim

article en

Abstract

To address issues like excessive energy consumption, insufficient deep air intake, and improper airflow control, optimizations were made to both the shallow and deep ventilation systems. By conducting comprehensive wind measurements across the entire mine, the distribution of underground wind speed and airflow was thoroughly understood, allowing for an analysis of the mine’s ventilation capacity and wind resistance. A theoretical model of underground ventilation and wind resistance was developed using Ventsim software. Additionally, a three-dimensional numerical model of Linglong Gold Mine’s ventilation system was created with three-dimensional ventilation numerical simulation software. This model facilitated dynamic airflow simulation within the ventilation system, enabling the proposal of optimization and adjustment plans. The effects of air regulation were simulated and analyzed to optimize the ventilation network. Results indicate that, following the optimal adjustment scheme for deep airflow distribution, airflow disorder can be resolved and air supply in deep mining areas can be increased, effectively addressing the issue of insufficient air supply there. Post-optimization, the ventilation system’s stability is improved, and air volume distribution becomes more reasonable, providing valuable guidance for Linglong Gold Mine’s ventilation management.

Springer Link (Chiba Institute of Technology)
Affordable and clean energy
Openalex Percentile: Top 54%
Mycorrhizal Fungi and Plant Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.