Cost Reduction In Grinding Plants Through Process Optimization And Control

- Organization:
- Society for Mining, Metallurgy & Exploration
- Pages:
- 3
- File Size:
- 196 KB
- Publication Date:
- Jan 1, 1997
Abstract
The major cost in comminution is energy consumption, which can be as high as 50% of the operating cost. Improvements in plant operations have resulted in up to a 15% reduction in energy usage (kw-hr/t). These improvements have been made through the optimization of grinding efficiency and the use of expert model-based control systems. Optimization involves the determination of the levels of the critical-operating conditions that result in the most efficient breakage of ore in the mill. These optimal levels are identified through plant/laboratory test work and through computer simulation using advanced process models. Model-based expert control achieves the maximum performance from the grinding circuit by identifying the characteristics of the ore in the mill with an optimal on-line estimator. Using this information, the control system dynamically determines the operating point that will yield the optimal performance. Two industrial applications of grinding-circuit optimization and model-based control are presented to demonstrate the power of this new technology.
Citation
APA:
(1997) Cost Reduction In Grinding Plants Through Process Optimization And ControlMLA: Cost Reduction In Grinding Plants Through Process Optimization And Control. Society for Mining, Metallurgy & Exploration, 1997.