IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i16p6077-d1220988.html
   My bibliography  Save this article

Determining and Verifying the Operating Parameters of Suppression Nozzles for Belt Conveyor Drives

Author

Listed:
  • Dominik Bałaga

    (Division of Machines and Equipment, KOMAG Institute of Mining Technology, Pszczyńska 37 Street, 44-101 Gliwice, Poland)

  • Marek Kalita

    (Division of Machines and Equipment, KOMAG Institute of Mining Technology, Pszczyńska 37 Street, 44-101 Gliwice, Poland)

  • Michał Siegmund

    (Division of Machines and Equipment, KOMAG Institute of Mining Technology, Pszczyńska 37 Street, 44-101 Gliwice, Poland)

  • Krzysztof Nieśpiałowski

    (Division of Machines and Equipment, KOMAG Institute of Mining Technology, Pszczyńska 37 Street, 44-101 Gliwice, Poland)

  • Sławomir Bartoszek

    (Division of Mechatronic Systems, KOMAG Institute of Mining Technology, Pszczyńska 37 Street, 44-101 Gliwice, Poland)

  • Piotr Bortnowski

    (Department of Mining, Faculty of Geoengineering, Mining and Geology, Wrocław University of Science and Technology, Na Grobli 15 Street, 50-421 Wrocław, Poland)

  • Maksymilian Ozdoba

    (Department of Mining, Faculty of Geoengineering, Mining and Geology, Wrocław University of Science and Technology, Na Grobli 15 Street, 50-421 Wrocław, Poland)

  • Andrzej Walentek

    (Department of Extraction Technologies, Rockburst and Risk Assessment, Central Mining Institute, Plac Gwarków 1, 40-166 Katowice, Poland)

  • Bożena Gajdzik

    (Department of Industrial Informatics, Silesian University of Technology, Krasińskiego 8 Street, 40-019 Katowice, Poland)

Abstract

Drives in belt conveyors are critical components of the conveyor system, susceptible to various factors that can cause disruptions and energy losses. In underground mining conditions, the risk of drive fires is particularly hazardous. Therefore, it is necessary to develop highly effective fire suppression systems. However, there are no guidelines for designing such systems. This study presents a methodology for selecting and verifying the fire suppression systems for belt conveyor drives. The proposed AMIGA system for extinguishing fires on underground coal mine conveyor belts, incorporating spraying and water mist installations, is supported by a theoretical calculation methodology. This enables determining the number of required nozzles and flow rate for complete fire suppression. The development of a methodology for the selection and verification of the sprinkler system components utilized guidelines provided in the standard VdS 2109:2002-03 and the PN-EN 12845+A2 standard from 2010, while a novel approach is proposed for water mist parameters that has not been previously applied anywhere else, and is based on assessing the fire’s intensity and the persistent disruption of the energy balance of the combusted coal. The theoretical calculations for potential fire power facilitate the determination of the appropriate water flow rate for the spraying system to protect the upper belt drive. For the proposed AMIGA system, the potential fire power was calculated to be 10.33 MJ / min . Based on this, the water flow rate for the spraying installation to protect the upper drive belt of the conveyor was established to be a minimum 37.5 dm 3 / min , and 21.4 dm 3 / min for the mist installation used to protect the space below the conveyor drive. In order to verify the developed methodology for parameter selection, on-site tests were conducted to verify the results. Tests were conducted on an AMIGA prototype suppression system integrated into a conveyor drive. The results demonstrate that the developed system is effective in extinguishing fires on the belt using the spraying installation, as well as under the conveyor belt drive using the water mist installation, within the entire supply pressure range ( 0.4 MPa to 1.6 MPa ).

Suggested Citation

  • Dominik Bałaga & Marek Kalita & Michał Siegmund & Krzysztof Nieśpiałowski & Sławomir Bartoszek & Piotr Bortnowski & Maksymilian Ozdoba & Andrzej Walentek & Bożena Gajdzik, 2023. "Determining and Verifying the Operating Parameters of Suppression Nozzles for Belt Conveyor Drives," Energies, MDPI, vol. 16(16), pages 1-18, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:16:p:6077-:d:1220988
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/16/6077/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/16/6077/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Shirong & Xia, Xiaohua, 2010. "Optimal control of operation efficiency of belt conveyor systems," Applied Energy, Elsevier, vol. 87(6), pages 1929-1937, June.
    2. Oleksandr Haidai & Vladyslav Ruskykh & Nataliia Ulanova & Vira Prykhodko & Edgar Cáceres Cabana & Roman Dychkovskyi & Natalia Howaniec & Adam Smolinski, 2022. "Mine Field Preparation and Coal Mining in Western Donbas: Energy Security of Ukraine—A Case Study," Energies, MDPI, vol. 15(13), pages 1-12, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Krzysztof Krauze & Tomasz Wydro & Ryszard Klempka & Kamil Mucha, 2023. "Application of an Analytical Model of a Belt Feeder for Assessing the Load and Stability of Its Structure," Energies, MDPI, vol. 16(24), pages 1-17, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Du Plessis, Gideon Edgar & Liebenberg, Leon & Mathews, Edward Henry, 2013. "The use of variable speed drives for cost-effective energy savings in South African mine cooling systems," Applied Energy, Elsevier, vol. 111(C), pages 16-27.
    2. Witold Kawalec & Robert Król & Natalia Suchorab, 2020. "Regenerative Belt Conveyor versus Haul Truck-Based Transport: Polish Open-Pit Mines Facing Sustainable Development Challenges," Sustainability, MDPI, vol. 12(21), pages 1-15, November.
    3. Tebello Mathaba & Xiaohua Xia, 2015. "A Parametric Energy Model for Energy Management of Long Belt Conveyors," Energies, MDPI, vol. 8(12), pages 1-19, December.
    4. Mu, Yunfei & Yao, Taiang & Jia, Hongjie & Yu, Xiaodan & Zhao, Bo & Zhang, Xuesong & Ni, Chouwei & Du, Lijia, 2020. "Optimal scheduling method for belt conveyor system in coal mine considering silo virtual energy storage," Applied Energy, Elsevier, vol. 275(C).
    5. Zhang, Lijun & Chennells, Michael & Xia, Xiaohua, 2018. "A power dispatch model for a ferrochrome plant heat recovery cogeneration system," Applied Energy, Elsevier, vol. 227(C), pages 180-189.
    6. Zhang, Shirong & Mao, Wei, 2017. "Optimal operation of coal conveying systems assembled with crushers using model predictive control methodology," Applied Energy, Elsevier, vol. 198(C), pages 65-76.
    7. Muller, C.J. & Craig, I.K., 2016. "Energy reduction for a dual circuit cooling water system using advanced regulatory control," Applied Energy, Elsevier, vol. 171(C), pages 287-295.
    8. 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.
    9. Wanjiru, Evan M. & Xia, Xiaohua, 2015. "Energy-water optimization model incorporating rooftop water harvesting for lawn irrigation," Applied Energy, Elsevier, vol. 160(C), pages 521-531.
    10. Linye Zhu & Yonggui Zhang & Kewen Chen & Qiang Liu & Wenbin Sun, 2023. "Exploring Land-Cover Types and Their Changes in the Open-Pit Mining Area of Ordos City Using Sentinel-2 Imagery," Sustainability, MDPI, vol. 15(19), pages 1-14, September.
    11. Adam Smoliński & Dmyto Malashkevych & Mykhailo Petlovanyi & Kanay Rysbekov & Vasyl Lozynskyi & Kateryna Sai, 2022. "Research into Impact of Leaving Waste Rocks in the Mined-Out Space on the Geomechanical State of the Rock Mass Surrounding the Longwall Face," Energies, MDPI, vol. 15(24), pages 1-16, December.
    12. Xia, Xiaohua & Zhang, Jiangfeng, 2013. "Mathematical description for the measurement and verification of energy efficiency improvement," Applied Energy, Elsevier, vol. 111(C), pages 247-256.
    13. Numbi, B.P. & Xia, X., 2016. "Optimal energy control of a crushing process based on vertical shaft impactor," Applied Energy, Elsevier, vol. 162(C), pages 1653-1661.
    14. Zhang, Shirong & Xia, Xiaohua, 2011. "Modeling and energy efficiency optimization of belt conveyors," Applied Energy, Elsevier, vol. 88(9), pages 3061-3071.
    15. Witold Kawalec & Natalia Suchorab & Martyna Konieczna-Fuławka & Robert Król, 2020. "Specific Energy Consumption of a Belt Conveyor System in a Continuous Surface Mine," Energies, MDPI, vol. 13(19), pages 1-10, October.
    16. Prince, & Hati, Ananda Shankar, 2021. "A comprehensive review of energy-efficiency of ventilation system using Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    17. Numbi, B.P. & Xia, X., 2015. "Systems optimization model for energy management of a parallel HPGR crushing process," Applied Energy, Elsevier, vol. 149(C), pages 133-147.
    18. Huang, Hongxu & Li, Zhengmao & Beng Gooi, Hoay & Qiu, Haifeng & Zhang, Xiaotong & Lv, Chaoxian & Liang, Rui & Gong, Dunwei, 2023. "Distributionally robust energy-transportation coordination in coal mine integrated energy systems," Applied Energy, Elsevier, vol. 333(C).
    19. van Staden, Adam Jacobus & Zhang, Jiangfeng & Xia, Xiaohua, 2011. "A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges," Applied Energy, Elsevier, vol. 88(12), pages 4785-4794.
    20. Numbi, B.P. & Zhang, J. & Xia, X., 2014. "Optimal energy management for a jaw crushing process in deep mines," Energy, Elsevier, vol. 68(C), pages 337-348.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:16:p:6077-:d:1220988. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.