The Application of a MIP Model to Select the Optimum Auxiliary Fan and Operational Settings for Multiple Period Duties

被引:7
作者
Acuna, Enrique [1 ,2 ]
Hall, Stephen [3 ]
Hardcastle, Stephen [4 ]
Fava, Lorrie
机构
[1] Univ Los Andes, Santiago, Chile
[2] Laurentian Univ, MIRARCO, Sudbury, ON P3E 2C6, Canada
[3] Curtin Univ Technol, WASM, Perth, WA 6845, Australia
[4] Nat Resources Canada, CANMET MMSL, Sudbury, ON P3E 5P5, Canada
关键词
Auxiliary mine ventilation; decision support systems; mixed integer programming; mine ventilation optimization;
D O I
10.3138/infor.48.2.095
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Ventilation systems can be the primary consumers of energy in underground mining operations Systematically reducing ventilation costs without impinging on production will significantly improve the profitability of an operation This paper presents an application of mixed Integer programming model (MIP) to assist in the selection of the optimum auxiliary fan to supply the required pressure and airflow to an underground mining activity across multiple time periods The MIP model considers the pressures and airflows required to be delivered by the tan for each time period along with the associated capital and operational expenditure in selecting the optimum fan based on cost across all the operating conditions In the presented approach the nonlinear performance characteristic curves of the fans are discretized to permit the implementation of linear techniques in the selection of the fan operational points for every period A case study IN presented to test the proposed MIP model and its applicability plus show the potential savings that can be generated even over short time periods The solution obtained is optimal in the discretized solution space, but in the real life solution space the fan selection is feasible and near optimal outperforming the current practices
引用
收藏
页码:95 / 102
页数:8
相关论文
共 7 条
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