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Thermo-economic analysis and multi-objective optimization of vapour cascade refrigeration system using different refrigerant combinations A comparative study

机译:不同制冷剂组合的热经济分析与蒸汽级联制冷系统的多目标优化对比研究

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摘要

A numerical investigation of energetic, exergetic, economic and environmental performances of a 50-kW cooling capacity cascade refrigeration system using four different refrigerant pairs, namely R41-R404A, R170-R404A, R41-R161 and R170-R161, has been carried out. Effects of evaporator temperature, condenser temperature, LTC condenser temperature and cascade condenser temperature difference have been studied parametrically. The COP and exergetic efficiency of the system are found to be maximum with R41-R161 refrigerant pair followed by R170-R161 for the same operating conditions. Genetic algorithm technique has been employed to carry out multi-objective optimization for the cascade refrigeration system using above-mentioned four refrigerant pairs to evaluate the optimal performances (for maximizing exergetic efficiency and minimizing the total plant cost rate) and the corresponding operating conditions. A set of non-dominated solutions have been obtained from the optimization, and then, TOPSIS method is employed to get the unique solutions for all four investigated refrigerant pairs. Better results in terms of optimum exergetic efficiency and the total plant cost rate are obtained using R41-R161 and R170-R161 refrigerant pairs compared to those obtained using R41-R404A pair.
机译:已经进行了使用四种不同制冷剂对的50kW冷却能力级联制冷系统的能量,前进,经济和环境性能的数值调查,即R41-R404A,R170-R404A,R41-R161和R170-R161。参数研究了蒸发器温度,冷凝器温度,LTC冷凝器温度和级联冷凝器温度差的影响。发现该系统的警察和前进效率最大,R41-R161制冷剂对,其次是相同的操作条件的R170-R161。遗传算法技术已经采用了使用上述四个制冷剂对进行级联制冷系统的多目标优化,以评估最佳性能(用于最大化锻炼效率,最小化总植物成本率)和相应的操作条件。已经从优化中获得了一组非主导的解决方案,然后,采用TopSIS方法来获得所有四个调查的制冷剂对的独特解决方案。与使用R41-R404A对获得的那些相比,使用R41-R161和R170-R161制冷剂对获得更好的最佳锻炼效率和总植物成本率。

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