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A Review of Primary Mine Ventilation System Optimization

Acu�a, Enrique I.; Lowndes, Ian

Authors

Enrique I. Acu�a

IAN LOWNDES ian.lowndes@nottingham.ac.uk
Associate Professor and Reader in Environmental Engineering



Abstract

Within the mining industry, a safe and economical mine ventilation system is an essential component of all underground mines. In recent years, research scientists and engineers have explored operations research methods to assist in the design and safe operation of primary mine ventilation systems. The main objective of these studies is to develop algorithms to identify the primary mine ventilation systems that minimize the fan power costs, including their working performance. The principal task is to identify the number, location, and duty of fans and regulators for installation within a defined ventilation network to distribute the required fresh airflow at minimum cost. The successful implementation of these methods may produce a computational design tool to aid mine planning and ventilation engineers. This paper presents a review of the results of a series of recent research studies that have explored the use of mathematical methods to determine the optimum design of primary mine ventilation systems relative to fan power costs.

Citation

Acuña, E. I., & Lowndes, I. (2014). A Review of Primary Mine Ventilation System Optimization. Interfaces, 44(2), 163-175. https://doi.org/10.1287/inte.2014.0736

Journal Article Type Article
Acceptance Date Mar 20, 2014
Online Publication Date Apr 1, 2014
Publication Date Apr 1, 2014
Deposit Date Aug 21, 2017
Publicly Available Date Dec 4, 2018
Journal Interfaces
Print ISSN 0092-2102
Electronic ISSN 1526-551X
Publisher INFORMS
Peer Reviewed Peer Reviewed
Volume 44
Issue 2
Pages 163-175
DOI https://doi.org/10.1287/inte.2014.0736
Keywords mine ventilation optimization; linear programming; nonlinear programming
Public URL https://nottingham-repository.worktribe.com/output/1096933
Publisher URL https://pubsonline.informs.org/doi/abs/10.1287/inte.2014.0736

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