自复叠制冷系统降温过程组分浓度优化及控制策略

发布时间：2019-05-19 12:31

【摘要】：混合工质低温制冷系统存在能效比较低、降温速度慢的问题。为提高混合工质自复叠制冷系统的降温性能,减小系统工作能耗,采用遗传算法集成Aspen Plus进行混合工质组分浓度优化,给出了不同工况下最优循环组分的需求规律。模拟结果表明,随着温度的降低,高沸点组分的需求逐渐降低,低沸点组分的需求逐渐增加。据此提出了一种有效的组分浓度控制策略并进行实验验证,实验结果表明,以膨胀储气罐和控制阀联合作用的方法可以增加系统降温速度,减小压缩机总功耗,控制系统的开机压力。
[Abstract]:The low temperature refrigeration system of mixed working fluid has the problems of low energy efficiency and slow cooling rate. In order to improve the cooling performance of the mixed working fluid self-cascade refrigeration system and reduce the working energy consumption of the system, the genetic algorithm integrated Aspen Plus is used to optimize the concentration of the mixture components, and the demand law of the optimal cycle components under different working conditions is given. The simulation results show that with the decrease of temperature, the demand of high boiling point component decreases gradually, and the demand of low boiling point component increases gradually. Based on this, an effective component concentration control strategy is proposed and verified by experiments. The experimental results show that the combined action of expansion gas storage tank and control valve can increase the cooling speed of the system and reduce the total power consumption of the compressor. Control the boot pressure of the system.
【作者单位】：华南理工大学电力学院;广东省能源高效清洁利用重点实验室;海信容声(广东)冷柜有限公司;
【基金】：国家自然科学基金青年科学基金项目(51506057) 华南理工大学亚热带建筑科学国家重点实验室开放基金项目(2015ZC13,2016KA01) 中国科学院低温工程学重点实验室开放基金项目(CRYO201616) 广东高校优秀青年创新人才培养计划项目(2013LYM_0111)~~
【分类号】：TB657

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