许文柱, 周文杰, 郝帅, 等. 基于进化策略算法的不同流态冰浓度下的最优泵功[J]. 真空与低温, 2021, 27(5): 490-496. DOI: 10.3969/j.issn.1006-7086.2021.05.013
引用本文: 许文柱, 周文杰, 郝帅, 等. 基于进化策略算法的不同流态冰浓度下的最优泵功[J]. 真空与低温, 2021, 27(5): 490-496. DOI: 10.3969/j.issn.1006-7086.2021.05.013
XU Wenzhu, ZHOU Wenjie, HAO Shuai, et al. The Optimal Pumping Work under Different Flow Ice Concentrations Using Evolutionary Strategy Algorithms[J]. VACUUM AND CRYOGENICS, 2021, 27(5): 490-496. DOI: 10.3969/j.issn.1006-7086.2021.05.013
Citation: XU Wenzhu, ZHOU Wenjie, HAO Shuai, et al. The Optimal Pumping Work under Different Flow Ice Concentrations Using Evolutionary Strategy Algorithms[J]. VACUUM AND CRYOGENICS, 2021, 27(5): 490-496. DOI: 10.3969/j.issn.1006-7086.2021.05.013

基于进化策略算法的不同流态冰浓度下的最优泵功

The Optimal Pumping Work under Different Flow Ice Concentrations Using Evolutionary Strategy Algorithms

  • 摘要: 一种合适的冰浓度配比的冰浆流体可以节省泵送成本。基于最优冰浓度进化策略算法进行设计是为了寻找一种具有节省成本的冰浓度及流量配置方案,使泵的功耗最低。本文建立了理论模型,模拟了不同冰浓度、不同流量的冰浆在泵送过程中对泵性能的影响;将得到的数据进行函数拟合,再将拟合结果代入MATLAB进化策略算法,得到了不同制冷量下,冰浆中的冰浓度与流量的配置方案。结果显示:在满足1.388 9×104W的制冷量条件下,冰浓度为19.73%、流量为2.102 5×10-4m3/s的冰浆流体可使运行泵功最小,节省运输成本。

     

    Abstract: A suitable ice slurry fluid with a suitable ice concentration ratio can save the pumping cost.The design of the optimal ice concentration with the evolutionany strategy algorithms focuses on finding a cost-saving ice concentration and flow ratio scheme,which can minimize the power consumption of the pump.A theoretical model is established to simulate the effect of different ice concentration and flow rate on the performance of the pump;The data obtained are fitted by function,and the fitting results are substituted in to MATLAB evolutionary strategy algorithm to get the configuration scheme of ice concentration in ice slurry and flow under different refrigeration capacity.The simulation results show that the pump can be operated at the minimum and transportation cost can be saved when the cooling capacity of 1.388 9×104W is met,the ice concentration is 19.73% and the flow rate is 2.102 5×10-4m3/s.

     

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