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Simultaneous Optimization and Heat Integration of an Aromatics Complex with a Surrogate Model
Industrial & Engineering Chemistry Research ( IF 4.2 ) Pub Date : 2021-03-01 , DOI: 10.1021/acs.iecr.0c05507
Yurong Liu 1 , Minglei Yang 1 , Liang Zhao 1 , Wenli Du 1 , Weimin Zhong 1 , Feng Qian 1
Affiliation  

The aromatics complex is essential in the production of p-xylene and contains several distillation towers and reactors, making this process highly energy intensive. To save energy for the aromatics complex, a novel framework for optimizing the process and heat exchanger network simultaneously is presented. Two models are included in this framework, namely, the process model, which is established through artificial neural networks, and the heat exchanger network model, which includes streams with phase changes. In addition, a disjunctive formulation is proposed to diagnose the process streams with or without latent heat according to the operating conditions. The performance of the proposed approach is illustrated with two case studies. The results demonstrate the significant potential in energy savings and considerable increase in the profit of the whole system.

中文翻译:

具有替代模型的芳香族化合物的同时优化和热集成

芳烃络合物对于生产p必不可少-二甲苯,并包含多个蒸馏塔和反应器,因此该过程的能源消耗很高。为了节省芳族化合物的能量,提出了同时优化工艺和热交换器网络的新颖框架。该框架包括两个模型,即通过人工神经网络建立的过程模型和包括具有相变流的热交换器网络模型。此外,根据操作条件,提出了一种分离配方来诊断带有或不带有潜热的工艺流。通过两个案例研究说明了所提出方法的性能。结果表明,节能潜力巨大,整个系统的利润显着增加。
更新日期:2021-03-10
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