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Chemcial Industry and Engineering 2024, Vol. 41 Issue (1) :118-124    DOI: 10.13353/j.issn.1004.9533.20220367
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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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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.
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WEI Xiaotong
YUE Jincai
YANG Anming
ZHOU Dongjian
ZHENG Shiqing
KeywordsAspen Plus   Python   software integration   optimization   variable pressure distillation   algorithm     
Received 2022-07-29;
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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,V41(1): 118-124
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