The Solution of the Main Fan Station for Underground Mines Being Decommissioned in Terms of Reducing Energy Consumption by Ventilation
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- Chimunhu, Prosper & Topal, Erkan & Ajak, Ajak Duany & Asad, Waqar, 2022. "A review of machine learning applications for underground mine planning and scheduling," Resources Policy, Elsevier, vol. 77(C).
- Wacław Dziurzyński & Andrzej Krach & Teresa Pałka, 2017. "Airflow Sensitivity Assessment Based on Underground Mine Ventilation Systems Modeling," Energies, MDPI, vol. 10(10), pages 1-15, September.
- 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.
- Chatterjee, Arnab & Zhang, Lijun & Xia, Xiaohua, 2015. "Optimization of mine ventilation fan speeds according to ventilation on demand and time of use tariff," Applied Energy, Elsevier, vol. 146(C), pages 65-73.
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- 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.
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Keywords
mine ventilation; main fans; air-demand reduction; fan replacement; temporary fan station; energy consumption by ventilation; reducing energy consumption;All these keywords.
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