We propose a mixed-integer nonlinear programming (MINLP) model for simultaneous chemical process and heat exchanger network synthesis. The model allows process stream inlet/outlet temperatures and flow rates to vary and can be extended to handle unclassified streams, thereby facilitating integration with a process synthesis model. The proposed model is based on a generalized transshipment approach in which the heat cascade is built upon a “dynamic” temperature grid. Both hot and cold streams can cascade heat so that exchanger inlet and outlet temperature, heat duty, and area can be calculated at each temperature interval. We develop mixed-integer constraints to model the number of heat exchangers in the network. Finally, we present several solution strategies tailored to improve the computation performance of the proposed models.

中文翻译：

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基于优化的同时进行化学过程和换热器网络综合的方法

我们提出了混合整数非线性规划（MINLP）模型，用于同时进行的化学过程和热交换器网络综合。该模型允许过程流的入口/出口温度和流速发生变化，并且可以扩展为处理未分类的流，从而促进与过程综合模型的集成。所提出的模型基于广义的转运方法，其中热级联建立在“动态”温度网格上。冷热流都可以级联热量，因此可以在每个温度间隔内计算交换器的入口和出口温度，热负荷和面积。我们开发混合整数约束以对网络中的热交换器数量进行建模。最后，我们提出了几种解决方案策略，这些策略可以量身定制，以提高所提出模型的计算性能。