A Review of Current Algorithms in Mine Ventilation Optimization

Mine ventilation is a process that accounts for 15‐22% of a company’s operating costs, and is responsible for up to 40% of energy consumed. With increasing pressure on mines to reduce energy consumption and greenhouse gas emissions, mining operations are forced to develop new design approaches and tools, and incorporate the latest mining technologies in order to lower production costs while meeting production, worker safety and environmental requirements. The research with MIRARCO, an applied research firm, integrates genetic algorithms principals with fluid modelling to determine optimal fan types, positions, air flow and pressure. This in turn moderates energy demands and results in immediate operational profitability without compromising productivity.

Faculty Supervisor:

Dr. Julien Dompierre

Student:

Enrique Acuna Duhart

Partner:

MIRARCO

Discipline:

Computer science

Sector:

Mining and quarrying

University:

Laurentian University