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Modeling and energy efficiency optimization of belt conveyors

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  • Zhang, Shirong
  • Xia, Xiaohua

Abstract

The improvement of the energy efficiency of belt conveyor systems can be achieved at equipment and operation levels. Specifically, variable speed control, an equipment level intervention, is recommended to improve operation efficiency of belt conveyors. However, the current implementations mostly focus on lower level control loops without operational considerations at the system level. This paper intends to take a model based optimization approach to improve the efficiency of belt conveyors at the operational level. An analytical energy model, originating from ISO 5048, is firstly proposed, which lumps all the parameters into four coefficients. Subsequently, both an off-line and an on-line parameter estimation schemes are applied to identify the new energy model, respectively. Simulation results are presented for the estimates of the four coefficients. Finally, optimization is done to achieve the best operation efficiency of belt conveyors under various constraints. Six optimization problems of a typical belt conveyor system are formulated, respectively, with solutions in simulation for a case study.

Suggested Citation

  • Zhang, Shirong & Xia, Xiaohua, 2011. "Modeling and energy efficiency optimization of belt conveyors," Applied Energy, Elsevier, vol. 88(9), pages 3061-3071.
    • Handle: RePEc:eee:appene:v:88:y:2011:i:9:p:3061-3071
    DOI: 10.1016/j.apenergy.2011.03.015
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    1. de Almeida, Aníbal T & Fonseca, Paula & Bertoldi, Paolo, 2003. "Energy-efficient motor systems in the industrial and in the services sectors in the European Union: characterisation, potentials, barriers and policies," Energy, Elsevier, vol. 28(7), pages 673-690.
    2. Zhang, Shirong & Xia, Xiaohua, 2010. "Optimal control of operation efficiency of belt conveyor systems," Applied Energy, Elsevier, vol. 87(6), pages 1929-1937, June.
    3. 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.
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    Cited by:

    1. Piotr Kulinowski & Piotr Kasza & Jacek Zarzycki, 2022. "Methods of Testing of Roller Rotational Resistance in Aspect of Energy Consumption of a Belt Conveyor," Energies, MDPI, vol. 16(1), pages 1-12, December.
    2. Mu, Yunfei & Yao, Taiang & Jia, Hongjie & Yu, Xiaodan & Zhao, Bo & Zhang, Xuesong & Ni, Chouwei & Du, Lijia, 2020. "Optimal scheduling method for belt conveyor system in coal mine considering silo virtual energy storage," Applied Energy, Elsevier, vol. 275(C).
    3. Tonini, Davide & Dorini, Gianluca & Astrup, Thomas Fruergaard, 2014. "Bioenergy, material, and nutrients recovery from household waste: Advanced material, substance, energy, and cost flow analysis of a waste refinery process," Applied Energy, Elsevier, vol. 121(C), pages 64-78.
    4. Zhang, Shirong & Mao, Wei, 2017. "Optimal operation of coal conveying systems assembled with crushers using model predictive control methodology," Applied Energy, Elsevier, vol. 198(C), pages 65-76.
    5. He, Daijie & Pang, Yusong & Lodewijks, Gabriel, 2017. "Green operations of belt conveyors by means of speed control," Applied Energy, Elsevier, vol. 188(C), pages 330-341.
    6. Tebello Mathaba & Xiaohua Xia, 2015. "A Parametric Energy Model for Energy Management of Long Belt Conveyors," Energies, MDPI, vol. 8(12), pages 1-19, December.
    7. Du Plessis, Gideon Edgar & Liebenberg, Leon & Mathews, Edward Henry, 2013. "The use of variable speed drives for cost-effective energy savings in South African mine cooling systems," Applied Energy, Elsevier, vol. 111(C), pages 16-27.
    8. 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.
    9. Huang, Hongxu & Li, Zhengmao & Beng Gooi, Hoay & Qiu, Haifeng & Zhang, Xiaotong & Lv, Chaoxian & Liang, Rui & Gong, Dunwei, 2023. "Distributionally robust energy-transportation coordination in coal mine integrated energy systems," Applied Energy, Elsevier, vol. 333(C).
    10. Numbi, B.P. & Zhang, J. & Xia, X., 2014. "Optimal energy management for a jaw crushing process in deep mines," Energy, Elsevier, vol. 68(C), pages 337-348.
    11. Piotr Kulinowski & Piotr Kasza & Jacek Zarzycki, 2021. "Influence of Design Parameters of Idler Bearing Units on the Energy Consumption of a Belt Conveyor," Sustainability, MDPI, vol. 13(1), pages 1-13, January.
    12. Witold Kawalec & Natalia Suchorab & Martyna Konieczna-Fuławka & Robert Król, 2020. "Specific Energy Consumption of a Belt Conveyor System in a Continuous Surface Mine," Energies, MDPI, vol. 13(19), pages 1-10, October.
    13. Prince, & Hati, Ananda Shankar, 2021. "A comprehensive review of energy-efficiency of ventilation system using Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    14. Chunyu Yang & Jinhao Liu & Heng Li & Linna Zhou, 2018. "Energy Modeling and Parameter Identification of Dual-Motor-Driven Belt Conveyors without Speed Sensors," Energies, MDPI, vol. 11(12), pages 1-17, November.
    15. Numbi, B.P. & Xia, X., 2016. "Optimal energy control of a crushing process based on vertical shaft impactor," Applied Energy, Elsevier, vol. 162(C), pages 1653-1661.
    16. Muller, C.J. & Craig, I.K., 2016. "Energy reduction for a dual circuit cooling water system using advanced regulatory control," Applied Energy, Elsevier, vol. 171(C), pages 287-295.
    17. Pihnastyi, Oleh & Khodusov, Valery & Kotova, Anna, 2022. "The problem of combined optimal load flow control of main conveyor line," MPRA Paper 113787, University Library of Munich, Germany, revised 05 Jun 2022.

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