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Analysis of Energy Sustainability in Ore Slurry Pumping Transport Systems

Author

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  • Yunesky Masip Macía

    (Escuela de Ingeniería Mecánica, Pontificia Universidad Católica de Valparaíso, Valparaíso 2340025, Chile)

  • Jacqueline Pedrera

    (Thermal Sciences and Fluids Department, Federal University of São João del-Rei, São João del-Rei-Minas Gerais 36307-352, Brazil)

  • Max Túlio Castro

    (Thermal Sciences and Fluids Department, Federal University of São João del-Rei, São João del-Rei-Minas Gerais 36307-352, Brazil)

  • Guillermo Vilalta

    (Thermal Sciences and Fluids Department, Federal University of São João del-Rei, São João del-Rei-Minas Gerais 36307-352, Brazil)

Abstract

The mining industry is characterized by a high consumption of energy due to the wide diversity of processes involved, specifically the transportation of ore slurry via pipeline systems. This study investigates the relationship among the variables that define the slurry transportation system to minimize the power requirements and increase energy sustainability. The energy indicator ( I ), the criterion used for the energy assessment of three different pumping system layouts, was computed via numerical simulation. Optimization of response I was carried out through a statistical technique in the design of the experiment. In the study, four variables were defined to describe the slurry transportation systems, two of which are associated with the piping system (length L and diameter D ); the other two are related to the slurry pattern (the volumetric concentration Cv and granulometry D 50 ). The results show that all variables are statistically significant relative to the indicator I , with L having the greatest amplitude of variation in the response, increasing the energy indicator by approximately 60%. Likewise, the decrease of the D 50 from 300 µm to 100 µm produces an average decrease of I of 24%. Moreover, the interaction among the factors indicates that two pairs of factors are correlated, namely D 50 with L and D with L . Finally, a predictive model obtained a fit that satisfactorily relates with the numerical data, allowing, in a preliminary way, to identify the minimum power requirement in iron ore slurry pipeline systems.

Suggested Citation

  • Yunesky Masip Macía & Jacqueline Pedrera & Max Túlio Castro & Guillermo Vilalta, 2019. "Analysis of Energy Sustainability in Ore Slurry Pumping Transport Systems," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:11:p:3191-:d:237985
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    References listed on IDEAS

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    1. Martín Tanco & Elisabeth Viles & Laura Ilzarbe & María Jesus Alvarez, 2009. "Implementation of Design of Experiments projects in industry," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(4), pages 478-505, July.
    2. Masataka Shirakashi & Shuichi Yamada & Yoshitaka Kawada & Takero Hirochi, 2014. "Blocking of Snow/Water Slurry Flow in Pipeline Caused by Compression-Strengthening of Snow Column," Sustainability, MDPI, vol. 6(2), pages 1-15, January.
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