Mine to Mill Approach to Optimize Power Consumption in a Process Plant Operation by Modelling and Simulation

- Organization:
- Canadian Institute of Mining, Metallurgy and Petroleum
- Pages:
- 10
- File Size:
- 2359 KB
- Publication Date:
- Jan 1, 2016
Abstract
"An intuitive way to reduce power consumption in grinding operations is to feed the grinding circuit with finer feed by enhancing blasting and fragmentation control. The optimization of blasting with the objective of minimizing power consumption in grinding is not new.The study was based on a Canadian mine that processes a very hard ore. BBA conducted blasting/fragmentation and grinding circuit surveys in 2014. The results of the exercise were used to develop a base case model to simulate the effect of blasting in the operation on the grinding circuit. Tools for fragmentation simulations, particle size measurement and crushing/grinding simulations were used with the objective of reducing the OPEX costs including power consumption.The paper describes the steps involved in the model optimization as well as an economical evaluation of the OPEX savings.INTRODUCTIONIn 2014 BBA was retained by one of its clients to conduct a crushing and grinding survey. The objective of the survey was to update the grinding circuit model with production data and also to develop a tool to investigate opportunities for process improvement.A second phase of the study involved the development of drilling and blasting and crushing models. The models were used to diagnose the operations and to investigate opportunities for process improvement.The objective of the present study is to describe the approach and to identify potential improvements to overall mine site operating costs by better integrating mining and milling operating costs with blasting and grinding models."
Citation
APA:
(2016) Mine to Mill Approach to Optimize Power Consumption in a Process Plant Operation by Modelling and SimulationMLA: Mine to Mill Approach to Optimize Power Consumption in a Process Plant Operation by Modelling and Simulation. Canadian Institute of Mining, Metallurgy and Petroleum, 2016.