Performance Assessment Of Airflow System In Indian Underground Metal Mines

Abstract

The assessment of airflow system performance in underground metal mines is critical for ensuring worker safety, operational efficiency, and regulatory compliance. This study evaluates the performance parameters of ventilation systems in Indian underground metal mines through systematic monitoring and analysis of airflow distribution, ventilation effectiveness, and energy consumption patterns. The primary objectives include measuring airflow velocity at critical locations, assessing ventilation efficiency ratios, analyzing pressure differentials across the network, and evaluating energy consumption patterns of main fans. A mixed-method approach was employed involving field measurements at selected underground metal mine sites, computational fluid dynamics simulation, and comparative analysis with international standards. The hypothesis posited that optimized airflow distribution could improve ventilation efficiency by 15-25% while reducing energy consumption. Results from three underground metal mine sites revealed average airflow velocities ranging from 1.8-4.5 m/s, ventilation efficiency ratios between 0.62-0.78, and significant energy savings potential of 20-31% through system optimization. Statistical analysis indicated strong correlations between airflow parameters and mine depth, with deeper sections showing 35% higher pressure losses. The study demonstrates that intelligent monitoring systems combined with adaptive control strategies can enhance safety standards while achieving substantial operational cost reductions.