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Green operations of belt conveyors by means of speed control

Author

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  • He, Daijie
  • Pang, Yusong
  • Lodewijks, Gabriel
Abstract
Belt conveyors can be partially loaded due to the variation of bulk material flow loaded onto the conveyor. Speed control attempts to reduce the belt conveyor energy consumption and to enable the green operations of belt conveyors. Current research of speed control rarely takes the conveyor dynamics into account so that speed control lacks applicability. Based on our previous research, this paper will provide an improved three-step method to determine the minimum speed adjustment time. This method can be summarized as Estimation-Calculation-Optimization and ECO in short. The ECO method takes both the potential risks and the conveyor dynamics into account. It is expected to keep belt conveyors in good dynamic behaviors in transient operations. After discussing the ECO method, this research takes a long inclined belt conveyor of an import dry bulk terminal as case study. Based on the suggested acceleration time, a speed controller is built and computational simulations are carried out to evaluate the energy savings and the conveyor dynamics. Experimental results prove that the application of the ECO method ensures the healthy dynamic performance of belt conveyors under speed control in transient operations. Annually, the average electricity consumption of the single conveyor can be reduced by over 10% with around 90tons reduction of CO2 emission. The direct economic benefit can reach up to more than €10,000 in terms of the electricity utilization per year.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:188:y:2017:i:c:p:330-341
    DOI: 10.1016/j.apenergy.2016.12.017
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    References listed on IDEAS

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    1. Michael Greenstone & Elizabeth Kopits & Ann Wolverton, 2013. "Developing a Social Cost of Carbon for US Regulatory Analysis: A Methodology and Interpretation," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 7(1), pages 23-46, January.
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    Citations

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    Cited by:

    1. Witold Kawalec & Robert Król & Natalia Suchorab, 2020. "Regenerative Belt Conveyor versus Haul Truck-Based Transport: Polish Open-Pit Mines Facing Sustainable Development Challenges," Sustainability, MDPI, vol. 12(21), pages 1-15, November.
    2. 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.
    3. Qixun Zhou & Hao Gong & Guanghui Du & Yingxing Zhang & Hucheng He, 2022. "Distributed Permanent Magnet Direct-Drive Belt Conveyor System and Its Control Strategy," Energies, MDPI, vol. 15(22), pages 1-18, November.
    4. 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.
    5. 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).
    6. 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.
    7. Yanping Yao & Bisheng Zhang, 2020. "Influence of the elastic modulus of a conveyor belt on the power allocation of multi-drive conveyors," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-16, July.
    8. Witold Kawalec & Robert Król, 2021. "Generating of Electric Energy by a Declined Overburden Conveyor in a Continuous Surface Mine," Energies, MDPI, vol. 14(13), pages 1-11, July.

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