Skip to main content
SpringerLink
Log in

Advanced Analytics for Haul Trucks Energy-Efficiency Improvement in Surface Mines

  • Chapter
  • First Online:
Advanced Analytics in Mining Engineering

  • 1082 Accesses

Abstract

Rolling resistance as a part of total resistance plays a critical role in the productivity, fuel consumption, gas emissions, maintenance, and safety of haul truck operations in surface mines. This chapter aims to identify the most influential parameters on rolling resistance and complete an investigation about the effect of these parameters on the fuel consumption of haul trucks. This chapter has completed a comprehensive literature review to identify the influential parameters on rolling resistance. Through that process, 15 parameters have been identified. An online survey was conducted to determine the most influential of these parameters on rolling resistance, based on the knowledge and experience of many professionals within the mining and haul road industries. In this survey, 50 industry personnel have been contacted with a 76% response rate. The survey results have shown that road maintenance, tire pressure, and truck speed are the most important effective parameters on rolling resistance. In this study, based on the data collected from the literature review, the relationships between selected parameters and rolling resistance have been established. A correlation between the selected parameters and best performance fuel consumption for one type of common truck in Australian surface mines has been developed. As a case study, a computer model based on the nonlinear regression method has been created to find the correlation between fuel consumption and rolling resistance in a large coal surface mine in central Queensland, Australia. The relationships between the most influential parameters on rolling resistance and fuel consumption in this case study have also been developed. The case study results indicated that by decreasing the maintenance interval, increasing tire pressure, and decreasing truck speed, the fuel consumption of haul trucks could be decreased.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. BP Energy Outlook 2035. 2014. 47–52.

    Google Scholar 

  2. BREE Australian Energy Update. 2014. Bureau of Resources and Energy Economics, 9–11.

    Google Scholar 

  3. DOE. 2012. US Mining industry energy bandwidth study.

    Google Scholar 

  4. EEO. 2010. Energy-Mass Balance: Mining, 21–28.

    Google Scholar 

  5. EEO. 2012. Analyses of Diesel Use for Mine Haul and Transport Operations, 2–12.

    Google Scholar 

  6. EEO. 2010. Driving Energy Efficiency in the Mining Sector, 18–22.

    Google Scholar 

  7. Stout, C.E., et al. 2013. Simulation of multiple large pit mining operations using GPSS/H. International Journal of Mining and Mineral Engineering 4 (4): 278–295.

    Article  Google Scholar 

  8. Ghojel, J. 1993. Haul truck performance prediction in open mining operations. In National Conference Publication-Institution of Engineers Australia NCP. Australia: Institution of Engineers.

    Google Scholar 

  9. Thompson, V., and A. Visser. 2006. The impact of rolling resistance on fuel, speed and costs. Continuous Improvement Case Study 2 (1): 68–75.

    Google Scholar 

  10. Thompson, R., et al. 1998. Benchmarking haul road design standards to reduce transportation accidents. International Journal of Surface Mining, Reclamation, and Environment 12 (4): 157–162.

    Article  Google Scholar 

  11. Franzese, O., and D. Davidson. 2011. Effect of Weight and Roadway Grade on the Fuel Economy of Class-8 Freight Trucks. Oak Ridge National Laboratory.

    Google Scholar 

  12. Goodyear Factors Affecting Truck Fuel Economy, 64–79 (2010).

    Google Scholar 

  13. Thompson, R. 1996. The Design and Maintenance of Surface Mine Haul Roads. University of Pretoria.

    Google Scholar 

  14. K. Burt, C.L.K. McShane, and O.T. Fong (Eds.). 2012. Cost Estimation Handbook, 2nd edn. Monograph 27. Australasian Institution of Mining and Metallurgy.

    Google Scholar 

  15. Assakkaf, I. 2003. Machine Power. Construction Planning, Equipment, and Methods, 123–142.

    Google Scholar 

  16. Descornet, G. 1990. Road-surface influence on tire rolling resistance. In Surface Characteristics of Roadways: International Research and Technologies. ASTM International.

    Google Scholar 

  17. Grover, P.S. 1998. Modeling of rolling resistance test data. SAE Transactions: 497–506.

    Google Scholar 

  18. Thompson, R., and A.T. Visser. 2003. Mine haul road maintenance management systems. Journal of the Southern African Institute of Mining and Metallurgy 103 (5): 303–312.

    Google Scholar 

  19. Iwashita, K., and M. Oda. 1998. Rolling resistance at contacts in the simulation of shear band development by DEM. Journal of Engineering Mechanics 124 (3): 285–292.

    Article  Google Scholar 

  20. Thompson, R., and A. Visser. 2003. Mine haul road fugitive dust emission and exposure characterization. WIT Transactions on Biomedicine and Health 2003: 7.

    Google Scholar 

  21. Shida, Z., et al. 1999. A rolling resistance simulation of tires using static finite element analysis. Tire science and Technology 27 (2): 84–105.

    Article  MathSciNet  Google Scholar 

  22. Thompson, R., and A. Visser. 1997. A mechanistic, structural design procedure for surface mine haul roads. International Journal o/Surface Mining, Reclamation, and Environment 11 (3): 121–128.

    Article  Google Scholar 

  23. Baafi, E. 1993. Tyres, and wheels. Methods of Measuring Rolling Resistance, 14–16. London: British Standards Institute.

    Google Scholar 

  24. McFarland, L.L., and B.D. Cargould. 1984. Apparatus for Measuring the Rolling Resistance of Tires. Google Patents.

    Google Scholar 

  25. Tannant, D., and B. Regensburg. 2001. Guidelines for Mine Haul Road Design.

    Google Scholar 

  26. Thompson, R., and A. Visser. 2000. The functional design of surface mine haul roads. Journal of the Southern African Institute of Mining and Metallurgy 100 (3): 169–180.

    Google Scholar 

  27. Holman, P., and I. St Charles. 2006. Caterpillar haul road design and management. St. Charles, IL: Big Iron University.

    Google Scholar 

  28. Lee, T.-Y. 2010. Development and validation of rolling resistance-based Haul road management.

    Google Scholar 

  29. Thompson, R., and A. Visser. 2007. Selection, performance and economic valuation of dust palliatives on surface mine haul roads. Journal of the Southern African Institute of Mining and Metallurgy 107 (7): 435–450.

    Google Scholar 

  30. DeRaad, L. 1978. The influence of road surface texture on tire rolling resistance. SAE Technical Paper.

    Google Scholar 

  31. Thompson, R.J., and A.T. Visser. 1999. Management of unpaved road networks on opencast mines. Transportation Research Record 1652 (1): 217–224.

    Article  Google Scholar 

  32. Sandberg, U., et al. 2011. Rolling resistance: basic information and state-of-the-art measurement methods. Final version. 2011, Statens väg-och transportforskningsinstitut.

    Google Scholar 

  33. Mukherjee, D. 2014. Effect of pavement conditions on rolling resistance. American Journal of Engineering Research 3 (7): 141–148.

    Google Scholar 

  34. Anand, A. 2012. Scaled test estimation of Rolling Resistance.

    Google Scholar 

  35. Caterpillar. 2013. Caterpillar Performance Handbook, 10 edn, vol. 2. USA: US Caterpillar Co.

    Google Scholar 

  36. Ma, G.-L., H. Xu, and W.-Y. Cui. 2007. Computation of rolling resistance caused by rubber hysteresis of a truck radial tire. Journal of Zhejiang University-Science A 8 (5): 778–785.

    Article  Google Scholar 

  37. Barrand, J., and J. Bokar. 2008. Reducing tire rolling resistance to save fuel and lower emissions. SAE International Journal of Passenger Cars-Mechanical Systems 1 (2008-01-0154): 9–17.

    Google Scholar 

  38. Hall, D.E., and J.C. Moreland. 2001. Fundamentals of rolling resistance. Rubber Chemistry and Technology 74 (3): 525–539.

    Article  Google Scholar 

  39. Paine, M., M. Griffiths, and N. Magedara. 2007. The role of tire pressure in vehicle safety, injury, and environment. Road safety solutions.

    Google Scholar 

  40. Walczykova, M. 2001. Penetration resistance of the light soil influenced by tire pressure and the number of wheelings. In Farm work science Facing the Challenges of the XXI Century. Proceedings Xxix Ciosta-Gigr V Congress, Krakow, Poland, 25–27 June 2001. 2001. Wageningen Pers.

    Google Scholar 

  41. Popov, A.A., et al. 2003. Laboratory measurement of rolling resistance in truck tires under dynamic vertical load. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 217 (12): 1071–1079.

    Google Scholar 

  42. Grosch, K. 1996. The rolling resistance, wear and traction properties of tread compounds. Rubber Chemistry and Technology 69 (3): 495–568.

    Article  Google Scholar 

  43. Ebbott, T., et al. 1999. Tire temperature and rolling resistance prediction with finite element analysis. Tire Science and Technology 27 (1): 2–21.

    Article  Google Scholar 

  44. Janssen, M., and G. Hall. 1980. Effect of ambient temperature on radial tire rolling resistance. SAE Transactions 1980: 576–580.

    Google Scholar 

  45. Bellamy, D., and L. Pravica. 2011. Assessing the impact of driverless haul trucks in Australian surface mining. Resources Policy 36 (2): 149–158.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Vale, Brisbane, Australia

    Ali Soofastaei

  2. Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran

    Milad Fouladgar

Authors
  1. Ali Soofastaei
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Milad Fouladgar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ali Soofastaei .

Editor information

Editors and Affiliations

  1. Artificial Intelligence Center, Vale, WA, Australia

    Ali Soofastaei

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Soofastaei, A., Fouladgar, M. (2022). Advanced Analytics for Haul Trucks Energy-Efficiency Improvement in Surface Mines. In: Soofastaei, A. (eds) Advanced Analytics in Mining Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-91589-6_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-91589-6_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-91588-9

  • Online ISBN: 978-3-030-91589-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation