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化学工业与工程 2024, Vol. 41 Issue (1) :118-124    DOI: 10.13353/j.issn.1004.9533.20220367
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基于Python的化工流程优化系统开发
魏晓彤1, 岳金彩1, 杨安明1, 周东健2, 郑世清1
1. 青岛科技大学化工学院, 山东 青岛 266042;
2. 青岛银科恒远化工过程信息技术有限公司, 山东 青岛 266042
Development of chemical process optimization system based on Python
WEI Xiaotong1, YUE Jincai1, YANG Anming1, ZHOU Dongjian2, ZHENG Shiqing1
1. School of Chemical Engineering, Qingdao University of Science and Technology, Shandong Qingdao 266042, China;
2. Qingdao Yinke Hengyuan Chemical Process Information Technology Co., Ltd., Shandong Qingdao 266042, China

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摘要 作为一种通用化工流程模拟系统,Aspen Plus已广泛应用于化工流程的模拟、设计与优化。随着人们对复杂流程优化的需求越来越多,Aspen Plus自带的灵敏度分析已经不能满足需要,将Aspen Plus与优化算法进行集成,用于求解复杂优化问题有其必要。在Python环境下实现了对Aspen Plus流程模拟的控制和数据传递,在此基础上开发了一套流程优化系统,可将各种优化算法方便地集成在一起,用于解决不同特点的优化问题。采用坐标轮换法以年度总费用TAC(Total Annual Cost)为目标函数,对甲醇-丙酮共沸体系的双塔变压精馏进行优化,灵活实现了对不同变量、不同顺序的优化,均取得预期效果,提高了工艺开发效率。
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作者相关文章
魏晓彤
岳金彩
杨安明
周东健
郑世清
关键词Aspen Plus   Python   软件集成   优化   变压精馏   算法     
Abstract: As a general chemical process simulation system, Aspen Plus has been widely used in simulation, design and optimization of chemical processes. As the need for complex process optimization increases, Aspen Plus’s built-in sensitivity analysis is no longer sufficient. Therefore, it is necessary to integrate Aspen Plus with optimization algorithms for solving complex optimization problems. In the Python environment, the control and data transmission of the Aspen Plus process simulation are realized, and a process optimization system is developed on this basis, which can easily integrate various optimization algorithms to solve optimization problems with different characteristics. Using theunivariate search technique to optimize the double-column variable pressure distillation of methanol-acetone azeotropic system with the annual total cost as the target function, the optimization of different variables and different sequences is flexibly realized, and the expected effects are achieved and the process development efficiency is improved.
KeywordsAspen Plus   Python   software integration   optimization   variable pressure distillation   algorithm     
Received 2022-07-29;
Fund:山东省重点研发计划项目资助(2019JMRH00305)。
Corresponding Authors: 岳金彩,副教授,E-mail:yjc@putech.com.cn。     Email: yjc@putech.com.cn
About author: 魏晓彤(1998-),女,硕士研究生,研究方向为化工系统工程。
引用本文:   
魏晓彤, 岳金彩, 杨安明, 周东健, 郑世清.基于Python的化工流程优化系统开发[J].  化学工业与工程, 2024,41(1): 118-124
WEI Xiaotong, YUE Jincai, YANG Anming, ZHOU Dongjian, ZHENG Shiqing.Development of chemical process optimization system based on Python[J].  Chemcial Industry and Engineering, 2024,41(1): 118-124
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