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Electro-Mechanical Modeling and Evaluation of Electric Load Haul Dump Based on Field Measurements

Author

Listed:
  • Gabriel Freire

    (Centro de Energía, Faculty of Engineering, Universidad Católica de la Santísima Concepción, Concepción 4090541, Chile)

  • Guillermo Ramirez

    (Centro de Energía, Faculty of Engineering, Universidad Católica de la Santísima Concepción, Concepción 4090541, Chile)

  • René Gómez

    (Faculty of Engineering, Universidad de Concepción, Concepción 4030000, Chile
    Advanced Mining Technology Center, University of Chile, Santiago 8370451, Chile)

  • Krzysztof Skrzypkowski

    (Faculty of Civil Engineering and Resource Management, AGH University of Science and Technology, Mickiewicza 30 Av., 30-059 Kraków, Poland)

  • Krzysztof Zagórski

    (Faculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, Mickiewicza 30 Av., 30-059 Kraków, Poland)

Abstract

In underground mining, conventional loader equipment uses diesel as a power source, implying different drawbacks, such as combustion gases, low visibility, worker’s health problems, and high ventilation requirements. Thus, hybrid and electric loaders are being developed by the main industry suppliers who prefer clean technology. In this study, we analyzed the performance of an electro-mechanical powertrain through a dynamic model of underground-loader equipment using field data. This electric LHD model was compared to a diesel loader under the same operational conditions. For the case study, the results showed that the proposed electro-mechanical model, considering 14 tons of capacity, consumed 86.8 kWh, representing 60.5% less energy than the diesel loader with similar speed and torque characteristics. Thus, the proposed methodology is a valuable tool for operators, process engineers, and decision-makers, allowing an energy-efficiency evaluation for electric LHD adoption, based on the current operational data available for conventional equipment.

Suggested Citation

  • Gabriel Freire & Guillermo Ramirez & René Gómez & Krzysztof Skrzypkowski & Krzysztof Zagórski, 2023. "Electro-Mechanical Modeling and Evaluation of Electric Load Haul Dump Based on Field Measurements," Energies, MDPI, vol. 16(11), pages 1-17, May.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:11:p:4399-:d:1159137
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    References listed on IDEAS

    as
    1. Yu Meng & Huazhen Fang & Guodong Liang & Qing Gu & Li Liu, 2019. "Bucket Trajectory Optimization under the Automatic Scooping of LHD," Energies, MDPI, vol. 12(20), pages 1-18, October.
    2. Mahmoud Hamouda & Fahad Al-Amyal & Ismoil Odinaev & Mohamed N. Ibrahim & László Számel, 2022. "A Novel Universal Torque Control of Switched Reluctance Motors for Electric Vehicles," Mathematics, MDPI, vol. 10(20), pages 1-21, October.
    Full references (including those not matched with items on IDEAS)

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