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A Review of Primary Mine Ventilation System Optimization

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  • Enrique I. Acuña

    (Facultad de Ingeniería y Ciencias Aplicadas, Universidad de los Andes, Santiago 7620001, Chile; and Proyecto Nuevo Nivel Mina, CODELCO, Santiago 8340518, Chile)

  • Ian S. Lowndes

    (Manufacturing Division, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, United Kingdom)

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.

Suggested Citation

  • Enrique I. Acuña & Ian S. Lowndes, 2014. "A Review of Primary Mine Ventilation System Optimization," Interfaces, INFORMS, vol. 44(2), pages 163-175, April.
    • Handle: RePEc:inm:orinte:v:44:y:2014:i:2:p:163-175
    DOI: 10.1287/inte.2014.0736
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    References listed on IDEAS

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    1. David G. Luenberger & Yinyu Ye, 2008. "Linear and Nonlinear Programming," International Series in Operations Research and Management Science, Springer, edition 0, number 978-0-387-74503-9, March.
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    Cited by:

    1. Nikodem Szlązak & Marek Korzec, 2024. "Conditions That Determine Changing the Function of Mine Shafts in a Gassy Coal Mine—A Case Study," Energies, MDPI, vol. 17(6), pages 1-19, March.
    2. Jie Hou & Gang Nie & Guoqing Li & Wei Zhao & Baoli Sheng, 2023. "Optimization of Branch Airflow Volume for Mine Ventilation Network Based on Sensitivity Matrix," Sustainability, MDPI, vol. 15(16), pages 1-14, August.
    3. Mikhail Semin & Lev Levin, 2023. "Mathematical Modeling of Air Distribution in Mines Considering Different Ventilation Modes," Mathematics, MDPI, vol. 11(4), pages 1-15, February.
    4. Lixue Wen & Deyun Zhong & Lin Bi & Liguan Wang & Yulong Liu, 2024. "Optimization Method of Mine Ventilation Network Regulation Based on Mixed-Integer Nonlinear Programming," Mathematics, MDPI, vol. 12(17), pages 1-16, August.
    5. Deyun Zhong & Liguan Wang & Jinmiao Wang & Mingtao Jia, 2020. "An Efficient Mine Ventilation Solution Method Based on Minimum Independent Closed Loops," Energies, MDPI, vol. 13(22), pages 1-16, November.

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