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Optimal energy control of a crushing process based on vertical shaft impactor

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  • Numbi, B.P.
  • Xia, X.

Abstract

This paper presents an optimal control model to improve the operation energy efficiency of a vertical shaft impact (VSI) crushing process. The optimal control model takes the energy cost as the performance index to be minimized by accounting for the time-of-use tariff and process constraints such as storage capacity of the VSI crusher hopper, capacity of the main storage system, flow rate limits, cascade ratio setting, production requirement and product quality requirement. The control variables in the developed model are the belt conveyor feed rate, the material feed rate into the VSI crusher rotor, the bi-flow or cascade feed rate and the rotor tip speed of the crusher. These four control variables are optimally coordinated in order to improve the operation energy efficiency of the VSI crushing process. Simulation results based on a crushing process in a coal-fired power plant demonstrate a potential of a daily energy cost saving of about 49.7% and energy saving of about 15.3% in a high-demand season weekday.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:162:y:2016:i:c:p:1653-1661
    DOI: 10.1016/j.apenergy.2014.12.017
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    References listed on IDEAS

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    1. van Staden, Adam Jacobus & Zhang, Jiangfeng & Xia, Xiaohua, 2011. "A model predictive control strategy for load shifting in a water pumping scheme with maximum demand charges," Applied Energy, Elsevier, vol. 88(12), pages 4785-4794.
    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. Zhuan, Xiangtao & Xia, Xiaohua, 2013. "Optimal operation scheduling of a pumping station with multiple pumps," Applied Energy, Elsevier, vol. 104(C), pages 250-257.
    5. 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.
    6. Mitra, Sumit & Sun, Lige & Grossmann, Ignacio E., 2013. "Optimal scheduling of industrial combined heat and power plants under time-sensitive electricity prices," Energy, Elsevier, vol. 54(C), pages 194-211.
    7. Zhang, Shirong & Xia, Xiaohua, 2011. "Modeling and energy efficiency optimization of belt conveyors," Applied Energy, Elsevier, vol. 88(9), pages 3061-3071.
    8. Pelzer, R. & Mathews, E.H. & le Roux, D.F. & Kleingeld, M., 2008. "A new approach to ensure successful implementation of sustainable demand side management (DSM) in South African mines," Energy, Elsevier, vol. 33(8), pages 1254-1263.
    9. Faria, P. & Vale, Z., 2011. "Demand response in electrical energy supply: An optimal real time pricing approach," Energy, Elsevier, vol. 36(8), pages 5374-5384.
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