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An integrated model of an open-pit coal mine: improving energy efficiency decisions

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  • S.R. Patterson
  • E. Kozan
  • P. Hyland

Abstract

This article contributes an original integrated model of an open-pit coal mine for supporting energy-efficient decisions. Mixed integer linear programming is used to formulate a general integrated model of the operational energy consumption of four common open-pit coal mining subsystems: excavation and haulage, stockpiles, processing plants and belt conveyors. Mines are represented as connected instances of the four subsystems, in a flow sheet manner, which are then fitted to data provided by the mine operators. Solving the integrated model ensures the subsystems’ operations are synchronised and whole-of-mine energy efficiency is encouraged. An investigation on a case study of an open-pit coal mine is conducted to validate the proposed methodology. Opportunities are presented for using the model to aid energy-efficient decision-making at various levels of a mine, and future work to improve the approach is described.

Suggested Citation

  • S.R. Patterson & E. Kozan & P. Hyland, 2016. "An integrated model of an open-pit coal mine: improving energy efficiency decisions," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4213-4227, July.
  • Handle: RePEc:taf:tprsxx:v:54:y:2015:i:14:p:4213-4227
    DOI: 10.1080/00207543.2015.1117150
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    1. Middelberg, Arno & Zhang, Jiangfeng & Xia, Xiaohua, 2009. "An optimal control model for load shifting - With application in the energy management of a colliery," Applied Energy, Elsevier, vol. 86(7-8), pages 1266-1273, July.
    2. Smith, Leigh & Ball, Peter, 2012. "Steps towards sustainable manufacturing through modelling material, energy and waste flows," International Journal of Production Economics, Elsevier, vol. 140(1), pages 227-238.
    3. Souza, M.J.F. & Coelho, I.M. & Ribas, S. & Santos, H.G. & Merschmann, L.H.C., 2010. "A hybrid heuristic algorithm for the open-pit-mining operational planning problem," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1041-1051, December.
    4. Ta, Chung H. & Ingolfsson, Armann & Doucette, John, 2013. "A linear model for surface mining haul truck allocation incorporating shovel idle probabilities," European Journal of Operational Research, Elsevier, vol. 231(3), pages 770-778.
    5. Mula, Josefa & Peidro, David & Díaz-Madroñero, Manuel & Vicens, Eduardo, 2010. "Mathematical programming models for supply chain production and transport planning," European Journal of Operational Research, Elsevier, vol. 204(3), pages 377-390, August.
    6. 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.
    7. 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.
    8. Ngai, E.W.T & Chau, D.C.K. & Poon, J.K.L. & To, C.K.M., 2013. "Energy and utility management maturity model for sustainable manufacturing process," International Journal of Production Economics, Elsevier, vol. 146(2), pages 453-464.
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    Cited by:

    1. 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.
    2. Zeng, Lanyan & Liu, Shi Qiang & Kozan, Erhan & Corry, Paul & Masoud, Mahmoud, 2021. "A comprehensive interdisciplinary review of mine supply chain management," Resources Policy, Elsevier, vol. 74(C).
    3. Hu, Hejuan & Sun, Xiaoyan & Zeng, Bo & Gong, Dunwei & Zhang, Yong, 2022. "Enhanced evolutionary multi-objective optimization-based dispatch of coal mine integrated energy system with flexible load," Applied Energy, Elsevier, vol. 307(C).

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