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Energy Consumption Reduction in Underground Mine Ventilation System: An Integrated Approach Using Mathematical and Machine Learning Models Toward Sustainable Mining

Author

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  • Hussein A. Saleem

    (Mining Engineering Department, King Abdulaziz University, Jeddah, Jeddah 21589, Saudi Arabia
    Mining and Metallurgical Engineering Department, Faculty of Engineering, Assiut University, Assiut 71515, Egypt)

Abstract

This study presents an integrated approach combining the Hardy Cross method and a gradient boosting (GB) optimization model to enhance ventilation systems in underground mines, with a specific application at the Jabal Sayid mine in Saudi Arabia. The Hardy Cross method addresses variations in airflow resistance caused by obstacles within ventilation pathways, enabling accurate predictions of the flow distribution across the network. The GB model complements this by optimizing fan placement, pressure control, and airflow intensity to achieve reduced energy consumption and improved efficiency. The results demonstrate significant improvements in fan efficiency, optimized energy usage, and enhanced ventilation effectiveness, achieving a 31.24% reduction in electricity consumption. This study bridges deterministic and machine learning methodologies, offering a novel framework for the real-time optimization of underground mine ventilation systems. By combining the Hardy Cross method with GB, the proposed approach outperforms traditional techniques in predicting and optimizing airflow distribution under dynamic conditions.

Suggested Citation

  • Hussein A. Saleem, 2025. "Energy Consumption Reduction in Underground Mine Ventilation System: An Integrated Approach Using Mathematical and Machine Learning Models Toward Sustainable Mining," Sustainability, MDPI, vol. 17(3), pages 1-34, January.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:3:p:1038-:d:1578408
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    References listed on IDEAS

    as
    1. Aleksey Isaevich & Mikhail Semin & Lev Levin & Andrey Ivantsov & Tatyana Lyubimova, 2022. "Study on the Dust Content in Dead-End Drifts in the Potash Mines for Various Ventilation Modes," Sustainability, MDPI, vol. 14(5), pages 1-19, March.
    2. Martina-Inmaculada Álvarez-Fernández & María-Belén Prendes-Gero & Juan-Carlos Peñas-Espinosa & Celestino González-Nicieza, 2021. "Innovative Techniques in Underground Mining for the Prevention of Gas Dynamic Phenomena," Energies, MDPI, vol. 14(16), pages 1-13, August.
    Full references (including those not matched with items on IDEAS)

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