Abstract In this paper a holistic optimization method of MR J-T mixture composition based on steepest descent method is developed and comprehensively presented. Modelling is carried using Peng-Robinson EoS available in RefProp 10. The optimization tool takes into account many different factors, that are usually applied separately, like minimum temperature approach in recuperative heat exchanger (which corresponds to minimum enthalpy difference under constant temperature), weighted mean temperature difference in recuperator, volume- and mass-based specific cooling powers and COP of the system, pressure and temperature limitations of commercial refrigeration compressors, non-ideal isentropic compression and suction flowrate. Carried optimization show significant coincidence between compositions optimized in terms of COP and volume-based SCP. On the other hand, mass-based SCP was found as inefficient optimization factor in case of volumetric compressors. Moreover, achieved results emphasize general rules of composing MR depending on the cooling temperature.

中文翻译：

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混合制冷剂MR JT制冷机成分优化方法

摘要 本文提出并综合提出了一种基于最速下降法的MR JT混合成分整体优化方法。使用 RefProp 10 中提供的 Peng-Robinson EoS 进行建模。优化工具考虑了许多不同的因素，这些因素通常单独应用，例如回热式换热器中的最低温度方法（对应于恒温下的最小焓差），加权换热器的平均温差、基于体积和质量的特定冷却功率和系统 COP、商用制冷压缩机的压力和温度限制、非理想的等熵压缩和吸入流量。进行的优化显示在 COP 和基于体积的 SCP 方面优化的组合物之间存在显着的重合。另一方面，在容积式压缩机的情况下，基于质量的 SCP 被认为是低效的优化因素。此外，取得的结果强调了根据冷却温度组成 MR 的一般规则。