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A bilevel optimization method for simultaneous synthesis of medium-scale heat exchanger networks based on grouping of process streams

机译:基于过程流分组的中等规模热交换器网络同时合成的双层优化方法

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In this work we present a bilevel optimization method for simultaneous synthesis of heat exchanger networks (HENS). The results show that compared to a similar method using the same superstructure the presented method can provide comparative solutions to HENS problems with reduced calculation effort especially for larger problems. Hence the value of this work is a good way of simplifying a HENS problem so that HENS problems can be solved efficiently with good results. The presented method combines four submodels into an overall method by using grouping of streams, aggregate streams and bilevel optimization. The idea of the method is to decompose the set of binary variables i.e. the variables that define the existence of heat exchanger matches, into two separate problems. Three different HENS examples from the literature are solved.
机译:在这项工作中,我们提出了一种同时优化热交换器网络(HENS)的双层优化方法。结果表明,与使用相同上部结构的类似方法相比,所提出的方法可以提供针对HENS问题的比较解决方案,并且减少了计算工作量,尤其是对于较大的问题。因此,这项工作的价值是简化HENS问题的好方法,从而可以有效地解决HENS问题并取得良好结果。提出的方法通过使用流分组,聚合流和双级优化将四个子模型组合为整体方法。该方法的思想是将二进制变量集(即定义热交换器匹配项存在的变量)分解为两个单独的问题。解决了文献中的三个不同的HENS示例。

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