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Improving energy efficiency of cyclone circuits in coal beneficiation plants by pump-storage systems

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  • Zhang, Lijun
  • Xia, Xiaohua
  • Zhang, Jiangfeng

Abstract

A pump storage system (PSS) is introduced to the coal preparation dense medium cyclone (DMC) plants to improve their energy efficiency while maintaining the required medium supply. The DMC processes are very energy intensive and inefficient because the medium supply pumps are constantly over-pumping. The PSS presented is to reduce energy consumption and cost by introducing an addition medium circulation loop. The corresponding pump operation optimization problem in the PSS scheme under time-based electricity tariff is formulated and solved, based on which the financial benefits of the design is investigated using life cycle cost analysis. A case study based on the operation status of a South African coal mine is carried out to verify the effectiveness of the proposed approach. It is demonstrated that the energy cost can be reduced by more than 50% in the studied case by introducing a 160m3 storage tank. According to life cycle analysis, the PSS Option 1 yields an annual 38% reduction of the overall cost for the beneficiation plant with a payback period of 2.68years.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:119:y:2014:i:c:p:306-313
    DOI: 10.1016/j.apenergy.2014.01.031
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    Cited by:

    1. Wanjiru, Evan M. & Zhang, Lijun & Xia, Xiaohua, 2016. "Model predictive control strategy of energy-water management in urban households," Applied Energy, Elsevier, vol. 179(C), pages 821-831.
    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. Lin, Dong & Zhang, Lijun & Xia, Xiaohua, 2021. "Model predictive control of a Venlo-type greenhouse system considering electrical energy, water and carbon dioxide consumption," Applied Energy, Elsevier, vol. 298(C).
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    5. Tian, Jinyi & Ni, Long & Song, Tao & Shen, Chao & Zhao, Jianing, 2018. "Numerical study of foulant-water separation using hydrocyclones enhanced by ejection device: Effect of ejection velocity," Energy, Elsevier, vol. 163(C), pages 641-659.
    6. Wanjiru, Evan M. & Xia, Xiaohua, 2015. "Energy-water optimization model incorporating rooftop water harvesting for lawn irrigation," Applied Energy, Elsevier, vol. 160(C), pages 521-531.
    7. Wang, Ning & Wen, Zongguo & Liu, Mingqi & Guo, Jie, 2016. "Constructing an energy efficiency benchmarking system for coal production," Applied Energy, Elsevier, vol. 169(C), pages 301-308.
    8. Albino, Vito & Ardito, Lorenzo & Dangelico, Rosa Maria & Messeni Petruzzelli, Antonio, 2014. "Understanding the development trends of low-carbon energy technologies: A patent analysis," Applied Energy, Elsevier, vol. 135(C), pages 836-854.
    9. Kagiri, Charles & Wanjiru, Evan M. & Zhang, Lijun & Xia, Xiaohua, 2018. "Optimized response to electricity time-of-use tariff of a compressed natural gas fuelling station," Applied Energy, Elsevier, vol. 222(C), pages 244-256.

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