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Benchmarking energy consumption for dump trucks in mines

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  • Sahoo, Lalit Kumar
  • Bandyopadhyay, Santanu
  • Banerjee, Rangan

Abstract

Dump trucks are used for transportation in opencast mines and consume about 32% of the total energy use in mines. This paper presents a generic model to benchmark energy consumption for dump trucks in mines. The modelling framework estimates minimum specific fuel consumption (SFC) of dump trucks using mine equipment, engine characteristics and vehicle dynamics. The model investigates the variation of SFC with operating input parameters like payload, material handling rate, vehicle speed, distance, mine gradient, etc. The applicability of the proposed model is illustrated through a case study of multiple dump trucks in a down gradient opencast limestone mine in India. The minimum SFC of 89g/t is estimated for a mine transport system with three excavators and two crushers. The case study shows a potential fuel saving of 17%. The modelling framework developed can be used to set rational targets for energy consumption for dump trucks in mines.

Suggested Citation

  • Sahoo, Lalit Kumar & Bandyopadhyay, Santanu & Banerjee, Rangan, 2014. "Benchmarking energy consumption for dump trucks in mines," Applied Energy, Elsevier, vol. 113(C), pages 1382-1396.
    • Handle: RePEc:eee:appene:v:113:y:2014:i:c:p:1382-1396
    DOI: 10.1016/j.apenergy.2013.08.058
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    References listed on IDEAS

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    1. Mui, K.W. & Wong, L.T. & Law, L.Y., 2007. "An energy benchmarking model for ventilation systems of air-conditioned offices in subtropical climates," Applied Energy, Elsevier, vol. 84(1), pages 89-98, January.
    2. Saboohi, Y. & Farzaneh, H., 2009. "Model for developing an eco-driving strategy of a passenger vehicle based on the least fuel consumption," Applied Energy, Elsevier, vol. 86(10), pages 1925-1932, October.
    3. Chung, William & Hui, Y.V. & Lam, Y. Miu, 2006. "Benchmarking the energy efficiency of commercial buildings," Applied Energy, Elsevier, vol. 83(1), pages 1-14, January.
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    6. Patterson, S.R. & Kozan, E. & Hyland, P., 2017. "Energy efficient scheduling of open-pit coal mine trucks," European Journal of Operational Research, Elsevier, vol. 262(2), pages 759-770.
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    8. Siami-Irdemoosa, Elnaz & Dindarloo, Saeid R., 2015. "Prediction of fuel consumption of mining dump trucks: A neural networks approach," Applied Energy, Elsevier, vol. 151(C), pages 77-84.
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    10. Cai, Wei & Liu, Fei & Xie, Jun & Liu, Peiji & Tuo, Junbo, 2017. "A tool for assessing the energy demand and efficiency of machining systems: Energy benchmarking," Energy, Elsevier, vol. 138(C), pages 332-347.
    11. Senqi Tan & Jue Yang & Xinxin Zhao & Tingting Hai & Wenming Zhang, 2018. "Gear Ratio Optimization of a Multi-Speed Transmission for Electric Dump Truck Operating on the Structure Route," Energies, MDPI, vol. 11(6), pages 1-17, May.
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