Experiment and Simulation on a Refrigeration Ventilation System for Deep Metal Mines

Significant harm from heat has become a key restriction for deep metal mining with increasing depth. This paper proposes refrigeration ventilation system mines combined an existing air cycling and builds experimental platform six stope simulation boxes. Using the current method driving-resistance balance relationship, transfer flow constraints of were constructed. An artificial neural network was used to establish models exchangers refrigerators historical data. Combining box, algorithm that iterates water outlet temperature evaporator condenser refrigerator proposed design coupled model. The analysis comparison temperatures stope, as well rates data, validated Additionally, effects cooling fans inlet tower discussed, which provided powerful modelling model system, helps reduce energy consumption, improves sustainability production.