Optimized model-based control of main mine ventilation air flows with minimized energy consumption

作     者：S.Sjostrom E.Klintenas P.Johansson J.Nyqvist S.Sj?str?m;E.Klinten?s;P.Johansson;J.Nyqvist

作者机构：Department IAPI–Mining AutomationABB ABUmeå140090124Sweden 

出 版 物：《International Journal of Mining Science and Technology》 (矿业科学技术学报（英文版）)

年 卷 期：2020年第30卷第4期

页      面：533-539页

核心收录：

学科分类：07[理学] 070202[理学-粒子物理与原子核物理] 0702[理学-物理学] 

主　　题：Mine ventilation Ventilation on demand Optimized model-based control Minimized energy consumption Advanced process control 

摘      要：In early 2018,the Boliden Garpenberg operation implemented an optimized control strategy as an addition to the existing ventilation on demand *** purpose of the strategy is to further minimize energy use for main and booster fans,whilst also fulfilling airflow setpoints without violating constraints such as min/max differential pressure over fans and interaction of air between areas in *** air flow measurements and a dynamical model of the ventilation system,a mine-wide coordination control of fans can be carried *** numerical model is data driven and derived from historical operational data or step changes *** makes both initial deployment and lifetime model maintenance,as the mine evolves,a comparably easy *** control has been proven to operate in a stable manner over long periods without having to re-calibrate the *** prove a 40%decrease in energy use for the fans involved and a greater controllability of air ***,a 15%decrease of the total air flow into the mine will give additional proportional heating savings during winter *** in all,the multivariable controller shows a correlation between production in the mine and the ventilation system performance superior to all of its predecessors.