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The Optimal Pumping Power under Different Ice Slurry Concentrations Using Evolutionary Strategy Algorithms

Author

Listed:
  • Shuai Hao

    (Institute of Energy Utilization and Automation, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Wenjie Zhou

    (Institute of Energy Utilization and Automation, Hangzhou Dianzi University, Hangzhou 310018, China)

  • Junliang Lu

    (Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310027, China)

  • Jiajun Wang

    (Institute of Energy Utilization and Automation, Hangzhou Dianzi University, Hangzhou 310018, China)

Abstract

A suitable ice slurry fluid with a suitable ice concentration ratio can save operational costs. The design of the optimal ice slurry concentration focuses on finding an evolution strategy, which can further minimize the power consumption of the pump. A theoretical model was established to simulate the effect of different ice concentrations and flow rates on the performance of the pump. The data obtained were fitted by curve-fitting function. The process was modeled in the MATLAB evolutionary strategy algorithm to obtain the configuration scheme of the ice concentration and flow under different refrigeration capacities. The simulation results showed that when the required cooling capacity was 13.889 kWh, ice concentration was set to 19.68%, and flow rate was set to 2.1075 × 10 −4 m 3 /s, the power consumption could be reduced by 23%.

Suggested Citation

  • Shuai Hao & Wenjie Zhou & Junliang Lu & Jiajun Wang, 2021. "The Optimal Pumping Power under Different Ice Slurry Concentrations Using Evolutionary Strategy Algorithms," Energies, MDPI, vol. 14(20), pages 1-16, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6738-:d:657853
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    References listed on IDEAS

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    1. Lee, Wen-Shing & Chen, Yi -Ting & Wu, Ting-Hau, 2009. "Optimization for ice-storage air-conditioning system using particle swarm algorithm," Applied Energy, Elsevier, vol. 86(9), pages 1589-1595, September.
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