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A Parametric Energy Model for Energy Management of Long Belt Conveyors

Author

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  • Tebello Mathaba

    (Department of Electrical Electronic and Computer Engineering, University of Pretoria, Hatfield, Pretoria 0002, South Africa)

  • Xiaohua Xia

    (Department of Electrical Electronic and Computer Engineering, University of Pretoria, Hatfield, Pretoria 0002, South Africa)

Abstract

As electricity prices continue to rise, the increasing need for energy management requires better understanding of models for energy-consuming applications, such as conveyor belts. Conveyor belts are used in a wide range of industries, including power generation, mining and mineral processing. Conveyor technological advances are leading to increasingly long conveyor belts being commissioned. Thus, the energy consumption of each individual belt conveyor unit is becoming increasingly significant. This paper proposes a generic energy model for belt conveyors with long troughed belts. The model has a two-parameter power equation, and it uses a partial differential equation to capture the variable amount of material mass per unit length throughout the belt length. Verification results show that the power consumption calculations of the newly proposed simpler model are consistent with those of a known non-linear model with an error of less than 4%. The online parameter identification set-up of the model is proposed. Simulations indicate that the parameters can be identified successfully from data with up to 15% measurement noise. Results show that the proposed model gives better predictions of the power consumed and material delivered by a long conveyor belt than the steady-state models in the current literature.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:12:p:12375-13608:d:59719
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    References listed on IDEAS

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    1. Granell, Ramon & Axon, Colin J. & Wallom, David C.H., 2014. "Predicting winning and losing businesses when changing electricity tariffs," Applied Energy, Elsevier, vol. 133(C), pages 298-307.
    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.
    4. Zhang, Shirong & Xia, Xiaohua, 2011. "Modeling and energy efficiency optimization of belt conveyors," Applied Energy, Elsevier, vol. 88(9), pages 3061-3071.
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    Citations

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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. Pihnastyi, Oleh & Kozhevnikov, Georgii & Ivanovska, Olha, 2022. "Maxwell-Element Model for Describing Conveyor Belt Stresses," MPRA Paper 112560, University Library of Munich, Germany, revised 01 Jan 2022.
    3. Zhang, Lijun & Chennells, Michael & Xia, Xiaohua, 2018. "A power dispatch model for a ferrochrome plant heat recovery cogeneration system," Applied Energy, Elsevier, vol. 227(C), pages 180-189.
    4. Pihnastyi, Oleh & Kozhevnikov, Georgii, 2020. "Control of a Conveyor Based on a Neural Network," MPRA Paper 111950, University Library of Munich, Germany, revised 09 Oct 2021.
    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. Jianhua Ji & Changyun Miao & Xianguo Li & Yi Liu, 2021. "Speed regulation strategy and algorithm for the variable-belt-speed energy-saving control of a belt conveyor based on the material flow rate," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-15, February.
    7. Pihnastyi, Oleh & Khodusov, Valery & Subbotin, Sergey, 2020. "Linear Regression Model of the Conveyor Type Transport System," MPRA Paper 103881, University Library of Munich, Germany, revised 26 Sep 2020.
    8. Pihnastyi, Oleh & Khodusov, Valery, 2020. "Neural model of conveyor type transport system," MPRA Paper 101527, University Library of Munich, Germany, revised 01 May 2020.
    9. 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.
    10. Paweł Bogacz & Łukasz Cieślik & Dawid Osowski & Paweł Kochaj, 2022. "Analysis of the Scope for Reducing the Level of Energy Consumption of Crew Transport in an Underground Mining Plant Using a Conveyor Belt System Mining Plant," Energies, MDPI, vol. 15(20), pages 1-16, October.
    11. Mirosław Bajda & Monika Hardygóra, 2021. "Analysis of the Influence of the Type of Belt on the Energy Consumption of Transport Processes in a Belt Conveyor," Energies, MDPI, vol. 14(19), pages 1-17, September.
    12. 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.
    13. 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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