We propose versatile shortcut distillation column and separation energy targeting models that are well-suited for superstructure-based process synthesis. The models are based on a novel reformulation of the Underwood equations to address systems where the components that are present in the feed can vary due to zero flow rates of some components. Also, we propose valid constraints, resulting in a significant enhancement of the computational performance of the models. The proposed distillation column model can automatically identify adequate key components and the energy requirement of a desired separation task, while considering a wide range of types of separations including non-sharp/sloppy splits. Also, the proposed separation energy targeting model can be used to estimate an energy requirement target for the separation of a mixture without finding detail network configurations. Due to their versatility and computational efficiency, the proposed models can be readily used for and expand the scope of superstructure-based process synthesis approaches.

我们提出了通用的快捷蒸馏塔和分离能靶向模型，非常适合基于上层结构的过程合成。该模型基于Underwood方程的新颖重构，以解决由于某些组分的零流速而导致进料中存在的组分变化的系统。此外，我们提出了有效的约束条件，从而大大提高了模型的计算性能。提出的蒸馏塔模型可以自动识别适当的关键成分和所需分离任务的能源需求，同时考虑多种分离类型，包括非尖锐/松散的分离。也，所提出的分离能量目标模型可用于估计混合物分离的能量需求目标，而无需找到详细的网络配置。由于它们的多功能性和计算效率，所提出的模型可以容易地用于基于上层建筑的过程综合方法并扩大其范围。