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The Ore Grade and Depth Influence on Copper Energy Inputs

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  • R. H. E. M. Koppelaar

    (Imperial College London
    The Broadway)

  • H. Koppelaar

    (Delft University of Technology)

Abstract

The study evaluated implications of different ore grades and mine-depth on the energy inputs to extract and process copper. Based on a 191 value dataset from 28 copper mining operations, seven model equations explaining operational energy costs were statistically evaluated. Energy costs for copper mines with leaching operations were not found to be significantly affected by ore grades nor mine-depth as all tested equations were rejected in the analysis. In case of mines with milling/flotation operations, a significant relation was established (p

Suggested Citation

  • R. H. E. M. Koppelaar & H. Koppelaar, 2016. "The Ore Grade and Depth Influence on Copper Energy Inputs," Biophysical Economics and Resource Quality, Springer, vol. 1(2), pages 1-16, December.
    • Handle: RePEc:spr:bioerq:v:1:y:2016:i:2:d:10.1007_s41247-016-0012-x
    DOI: 10.1007/s41247-016-0012-x
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    References listed on IDEAS

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    1. Crowson, Phillip, 2003. "Mine size and the structure of costs," Resources Policy, Elsevier, vol. 29(1-2), pages 15-36.
    2. Harmsen, J.H.M. & Roes, A.L. & Patel, M.K., 2013. "The impact of copper scarcity on the efficiency of 2050 global renewable energy scenarios," Energy, Elsevier, vol. 50(C), pages 62-73.
    3. Tilton, John E. & Lagos, Gustavo, 2007. "Assessing the long-run availability of copper," Resources Policy, Elsevier, vol. 32(1-2), pages 19-23.
    4. Crowson, Phillip, 2012. "Some observations on copper yields and ore grades," Resources Policy, Elsevier, vol. 37(1), pages 59-72.
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    Cited by:

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    4. Eirik Nøst Nedkvitne & Dag Øistein Eriksen & Jon Petter Omtvedt, 2023. "Grade and Tonnage Comparison of Anthropogenic Raw Materials and Ores for Cu, Zn, and Pb Recovery," Resources, MDPI, vol. 12(3), pages 1-9, February.
    5. Zheng, Xiaolei & Nguyen, Hoang & Bui, Xuan-Nam, 2021. "Exploring the relation between production factors, ore grades, and life of mine for forecasting mining capital cost through a novel cascade forward neural network-based salp swarm optimization model," Resources Policy, Elsevier, vol. 74(C).
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    7. Dupont, Elise & Koppelaar, Rembrandt & Jeanmart, Hervé, 2018. "Global available wind energy with physical and energy return on investment constraints," Applied Energy, Elsevier, vol. 209(C), pages 322-338.

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