Grant: Engage Plus Grants Program

In 2013, Thompson Rivers University (TRU) and Highland Valley Copper (HVC) commenced an NSERCEngage grant study to develop HVC specific energy conservation key performance indicators (KPIs). Theresearch produced some promising statistical models examining the relationships between mill throughput andelectrical intensity, along with other mining parameters such as blast energy, blast type and ore hardness. Thefinal delivered product was a mill throughput model that correlated better with actual mill performance resultsthan the HVC predictive model currently in use.With recent changes to the Mill, through the execution of the Mill Optimization Project (MOP) andrevitalization of Mine to Mill initiatives, it is more important than ever to understand the impact on process,economic value and operational costs that planning, decisions and actions at HVC. In order to define thebenefits gained as a result of these new initiatives and procedures, it is crucial that accurate, reliable millperformance models be understood and developed. We propose to expand the preliminary throughput model toinclude more production factors (such as recovery rate, MOP). Further to the new model, we will conductsensitivity analysis for the new model to ensure the stability for prediction purpose. Such a model will assistHVC to in manage its energy usage and to improve the production efficiency.