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Benchmarking Energy Consumption of Truck Haulage

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Part of the book series: Green Energy and Technology ((GREEN))

Abstract

Haul trucks are used for material handling in most surface mines and consume about 32% of the total energy usage in mines that use them. This chapter deals with benchmarking approaches applicable to haul truck operation in mines. The specific fuel consumption (SFC) is used as the energy performance index for benchmarking energy consumption of haul trucks. Benchmarking using a statistical approach estimates the minimum SFC based on the comparison of past aggregate time series data and disaggregate data on fuel consumption and the production rate of haul trucks. A model-based approach calculates the minimum SFC using a mathematical model derived from vehicle dynamics, mass balance, and engine and mine characteristics. This chapter presents an analysis of two case studies of haul trucks operations at different surface mines (coal and limestone) to illustrate the benchmarking methods. The studies revealed that benchmarking of energy consumption in haul trucks using the model-based approach is appropriate for setting the fuel consumption target in an opencast mine and assess the fuel saving potential. The model-based approach results in minimum SFC of 89 g/t and fuel saving potential of 17% for multiple haul trucks operating in a limestone mine. The model-based approach shows a direction for setting rational targets for fuel consumption in haul trucks and result in more energy efficient mines.

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References

  1. Sahoo LK, Bandyopadhyay S, Banerjee R (2010) Energy performance of dump trucks in opencast mine. In: Proceedings of ECOS 2010, Lausanne, Switzerland 14–17 June 2010, pp 1899–1906

    Google Scholar 

  2. Sahoo LK, Bandyopadhyay S, Banerjee R (2013) Benchmarking energy efficiency of opencast mining in India. In: Proceedings of ICAER 2013, Mumbai, India. 10–12 Dec 2013, pp 1684–1692

    Google Scholar 

  3. Shuzhao C et al (2011) Energy consumption comparison and energy saving measures of open pit development. In: Proceedings of international conference on computer distributed control and intelligent environmental monitoring (CDCIEM), China

    Google Scholar 

  4. Benchmarking the energy consumption of Canadian openpit mine (2005) Report No. ISBN 0-662-39538-7, Mining association of Canada

    Google Scholar 

  5. Vemba MMDS (2004) The loading and transport system at SMC-Optimisation. J S Afr Inst Min Metall, 139–147

    Google Scholar 

  6. Sardeshpande V, Gaitonde UN, Banerjee R (2007) Model-based energy benchmarking for glass furnace. Energy Convers Manage 48:2718–2738

    Article  Google Scholar 

  7. Sahoo LK, Bandyopadhyay S, Banerjee R (2014) Benchmarking energy consumption for dump trucks in mines. Appl Energy 113:1382–1396

    Article  Google Scholar 

  8. CIMFR studies (2015) conducted by first authour at Dipka opencast mine of South Eastern Coalfields Ltd (SECL), Bilaspur, India of Coal India Ltd

    Google Scholar 

  9. Irdemoosa ES, Dindarloo SR (2015) Prediction of fuel consumption for mining dump trucks: A neural network approach. Appl Energy 151:77–84

    Article  Google Scholar 

  10. Awuah-Offei et al (2011) Modelling truck/shovel energy efficiency under uncertainty. Trans Soc Min Metall Explor 330:573–584

    Google Scholar 

  11. Saboohi et al (2009) Model for developing an eco-driving strategy of passenger vehicle based on least fuel consumption. Appl Energy 86:1925–1932

    Article  Google Scholar 

  12. Saerens et al (2009) Minimization of fuel consumption of gasoline engine using dynamic optimisation. Appl Energy 86:1582–1588

    Article  Google Scholar 

  13. Vasil’ev MV et al (1974) Optimisation of the journey schedules of high capacity Quarry dump trucks. In: The Institute of mining: Ministry of Ferrous metallurgy of USSR 1:63–69

    Google Scholar 

  14. Chang et al (2005) Vehicle speed profiles to minimise work and fuel consumption. J Transp Eng 3:173–182

    Article  Google Scholar 

  15. Chung et al (2005) A stochastic optimisation approach to mine truck allocation. Int J Surf Min Reclam Environ 19(3):162–175

    Article  Google Scholar 

  16. Tolouei et al (2009) Vehicle mass as a determinant of fuel consumption and secondary safety performance. Trans Res D-Trans Environ 14(6):385–399

    Article  Google Scholar 

  17. Awuah-Offei K (2016) Energy efficiency in mining: a review with emphasis on the role of operators in loading and hauling operations. J Clean Prod 117:89–97

    Article  Google Scholar 

  18. Boyd G, Dutrow E, Tunnesssen W (2008) The evolution of energy star energy performance indicator for benchmarking industrial plant energy use. J Clean Prod 16:709–715

    Article  Google Scholar 

  19. Phylipsen D, Blok K, Worrell E et al (2002) Benchmarking the energy efficiency of the Dutch industry: an assessment of the expected effect on energy consumption CO2 emissions. Energy Policy 30:663–679

    Article  Google Scholar 

  20. Chauhan NS, Mohapatra PKJ, Pandey KP (2006) Improving energy productivity in paddy production through benchmarking: an application of data envelopment analysis. Energy Convers Manag 47:1063–1085

    Article  Google Scholar 

  21. Chung W, Hui YV, Lam YM (2006) Benchmarking the energy efficiency of commercial buildings. Appl Energy 83:1–14

    Article  Google Scholar 

  22. Omid M, Ghojabeige F, Delshod M et al (2011) Energy use pattern and benchmarking of selected green houses in Iran using data envelopment analysis. Energy Convers Manag 52(1):153–162

    Article  Google Scholar 

  23. Cooke D, Randall C (2005) Energy use benchmarks for opencast coal mines. The AusIMM cannual conference, New Castle, pp 1–8

    Google Scholar 

  24. Reddy TG, Sudhakar K, Krishna JS (2013) Benchmarking of coal mine using data envelope analysis. Int J Adv Trends Comput Sci Eng 2(1):159–164

    Google Scholar 

  25. Sahoo LK, Kumar R, Topno S (2017) Benchmarking diesel consumption for dump trucks in opencast mines. In: International conference DEEP 16, IIT Kharagpur, 24–26 January 2017, pp 1–8

    Google Scholar 

  26. Mackay JCD (2009) Sustainable energy –without the hot air: UIT Cambridge Ltd, Cambridge

    Google Scholar 

  27. Jajar RN (2009) Vehicle dynamics: theory and application. Springer, New York

    Google Scholar 

Download references

Acknowledgements

We are thankful to M/s South Eastern Coalfields Ltd, Chhattisgarh, India for providing data of studies conducted for benchmarking diesel consumption during 2015 and Director, CSIR-Central Institute of Mining & Fuel Research for giving permissions and support to this publication.

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Correspondence to Lalit Kumar Sahoo .

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Sahoo, L.K., Bandyopadhyay, S., Banerjee, R. (2018). Benchmarking Energy Consumption of Truck Haulage. In: Awuah-Offei, K. (eds) Energy Efficiency in the Minerals Industry. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-54199-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-54199-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54198-3

  • Online ISBN: 978-3-319-54199-0

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