Entropy Generation Modelling (EGMod) is the topic dealing with the calculation of entropy sources in real processes. It is gaining ground since the entropy generation rate aggregates all irreversibility sources through a meaningful combination allowing to evaluate the energy-efficiency and sustainability of a given operation. Several EGMod approaches are reported in literature and are based on 1D process models or CFD simulations. 1D models are the most used given their computational efficiency, however, no study has compared their performances to CFD yet. In this paper, EGMod approaches are compared through three case studies highlighting their potentials and limitations. The results reveal that, although 1D approaches can correctly determine the temperature and concentration profiles along the process, they inherently lead to significant errors in the calculation of the entropy generation rate. These errors become important in the presence of chemical reactions as they lead to intercorrelation between local temperatures and concentrations.

中文翻译：

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用于设计高效且可持续的热交换器和化学反应器的熵生成分析：从一维建模到详细的 CFD 模拟


熵生成建模（EGMod）是处理实际过程中熵源计算的主题。它正在取得进展，因为熵生成率通过有意义的组合聚集了所有不可逆源，从而可以评估给定操作的能源效率和可持续性。文献中报道了几种 EGMod 方法，它们基于一维过程模型或 CFD 模拟。鉴于其计算效率，一维模型是最常用的模型，但是，尚无研究将其性能与 CFD 进行比较。在本文中，通过三个案例研究对 EGMod 方法进行了比较，强调了它们的潜力和局限性。结果表明，虽然一维方法可以正确确定整个过程中的温度和浓度分布，但它们本质上会导致熵生成率计算中的重大错误。在存在化学反应的情况下，这些误差变得很重要，因为它们会导致局部温度和浓度之间的相互关联。