Effect of subcooling and superheating on performance of a cascade refrigeration system with considering thermo- economic analysis and multi-objective optimization

M. Keshtkar
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引用次数: 13

Abstract

In present work, effect of degrees of subcooling and superheating based on thermoeconomic optimization is investigated in two stage-cascade refrigeration system (TS-CRS). At the first step, by using R717 and R744 as refrigerants, a thermoeconomic analysis is applied to TS-CRS. Based on results of the first section and using the genetic algorithm (GA) optimizer implemented in MATLAB, the optimum operative conditions of a specific TS-CRS is determined. Finally, based on the Pareto frontier obtained from the GA optimization, a decision-making strategy is then used to determine a final solution by TOPSIS method. Two single-objective optimization strategies (SOS), i.e. exergetic optimization and cost optimization, are applied on TS-CRS. The aim of the first strategy is to maximize the exergetic efficiency and the aim of the second strategy is minimizing the total annual cost of the system. The case study results show that, compared to the base design, the use of SOS for maximizing of exergetic efficiency can be increases the exergetic efficiency 94.5%. In addition, the use of the second SOS can decrease the total system cost by 11%. Using MOS compared to base design, exergetic efficiency and the total system cost can be increase by 99.1% and 28.6% respectively.
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考虑热经济分析和多目标优化的过冷和过热对叶栅制冷系统性能的影响
本文研究了基于热经济优化的两级复叠制冷系统过冷度和过热度对系统性能的影响。首先,采用R717和R744作为制冷剂,对TS-CRS进行热经济分析。基于第一部分的结果,利用MATLAB实现的遗传算法优化器,确定了特定TS-CRS的最佳工作条件。最后,基于遗传算法优化得到的Pareto边界,采用TOPSIS方法确定决策策略的最终解。在TS-CRS中应用了两种单目标优化策略,即耗能优化和成本优化。第一个策略的目标是最大限度地提高能源效率,第二个策略的目标是最大限度地减少系统的年度总成本。实例研究结果表明,与基础设计相比,采用SOS系统实现用能效率最大化可使用能效率提高94.5%。此外,第二SOS的使用可以使系统总成本降低11%。与基本设计相比,MOS的火用效率和系统总成本分别提高了99.1%和28.6%。
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