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Optimal scheduling method for belt conveyor system in coal mine considering silo virtual energy storage

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  • Mu, Yunfei
  • Yao, Taiang
  • Jia, Hongjie
  • Yu, Xiaodan
  • Zhao, Bo
  • Zhang, Xuesong
  • Ni, Chouwei
  • Du, Lijia

Abstract

In order to reduce the high electricity cost of the belt conveyor system in a coal mine, a virtual energy storage model of the belt conveyor system is proposed based on the coal storage ability of silo. Through coordinated control of belt speed, feed rate, silo load rate and arrival time of the train, the virtual energy storage ability of silo is utilized to realize the power balance considering distributed generations in different period in response to the time-varying electricity price. The case study indicates that the optimal scheduling method in this paper can effectively reduce the electricity cost of the belt conveyor by 61.29%, and improve the power consumption level of the distributed generations, which can help realize the green and effective operation of the belt conveyor system.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:appene:v:275:y:2020:i:c:s0306261920308801
    DOI: 10.1016/j.apenergy.2020.115368
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    References listed on IDEAS

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    1. Li, Yang & Feng, Bo & Li, Guoqing & Qi, Junjian & Zhao, Dongbo & Mu, Yunfei, 2018. "Optimal distributed generation planning in active distribution networks considering integration of energy storage," Applied Energy, Elsevier, vol. 210(C), pages 1073-1081.
    2. Zhang, Shirong & Xia, Xiaohua, 2011. "Modeling and energy efficiency optimization of belt conveyors," Applied Energy, Elsevier, vol. 88(9), pages 3061-3071.
    3. Miró, Laia & Gasia, Jaume & Cabeza, Luisa F., 2016. "Thermal energy storage (TES) for industrial waste heat (IWH) recovery: A review," Applied Energy, Elsevier, vol. 179(C), pages 284-301.
    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. Cristóbal, Jorge & Guillén-Gosálbez, Gonzalo & Jiménez, Laureano & Irabien, Angel, 2012. "Optimization of global and local pollution control in electricity production from coal burning," Applied Energy, Elsevier, vol. 92(C), pages 369-378.
    7. Zhang, Shirong & Xia, Xiaohua, 2010. "Optimal control of operation efficiency of belt conveyor systems," Applied Energy, Elsevier, vol. 87(6), pages 1929-1937, June.
    8. Zhang, Lijun & Xia, Xiaohua & Zhang, Jiangfeng, 2014. "Improving energy efficiency of cyclone circuits in coal beneficiation plants by pump-storage systems," Applied Energy, Elsevier, vol. 119(C), pages 306-313.
    9. Adefarati, T. & Bansal, R.C., 2017. "Reliability and economic assessment of a microgrid power system with the integration of renewable energy resources," Applied Energy, Elsevier, vol. 206(C), pages 911-933.
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    Cited by:

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    2. Maślak, Grzegorz & Orłowski, Przemysław, 2024. "Operational optimisation of a microgrid using non-stationary hybrid switched model predictive control with virtual storage-based demand management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
    3. Mirosław Bajda & Monika Hardygóra, 2021. "Analysis of Reasons for Reduced Strength of Multiply Conveyor Belt Splices," Energies, MDPI, vol. 14(5), pages 1-21, March.
    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.

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