探索从流程模拟中创建数字双胞胎的替代方案

Jaime Barbero-Sánchez, Alicia Megía-Ortega, Víctor R. Ferro, Jose-Luis Valverde
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引用次数: 0

摘要

在这项工作中,基于神经网络生成了苯乙烯稳态生产的数字双胞胎。因此,Aspen Technology AI 模型生成器(备选方案 1)和连接到 Aspen HYSYS 和 Aspen Plus 的自制 MS Excel VBA 代码(备选方案 2)均用于此目的。用于生成数字双胞胎的原始数据来自于使用 Aspen HYSYS 和/或 Aspen Plus 进行的过程模拟,它们通过一个类似于循环的流进行自动连接,以求解整个模拟流程表。Aspen HYSYS 用于求解工艺的预热、反应和稳定部分,而 Aspen Plus 则确保分离和纯化塔的计算。两种替代方案都得出了出色的预测结果,显示了从工艺模拟中创建数字孪生的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring Alternatives to Create Digital Twins from and for Process Simulation
In this work, Digital Twins based on Neural Networks for the steady state production of styrene were generated. Thus, both the Aspen Technology AI Model Builder (alternative 1) and a homemade MS Excel VBA code connected to Aspen HYSYS and Aspen Plus (alternative 2) were used with this same aim. The raw data used for generating the Digital Twins were obtained from process simulations using Aspen HYSYS and/or Aspen Plus, which were connected through a recycle-like stream via automation for solving the entire simulation flowsheet. Aspen HYSYS was used for solving the pre-heating, reaction, and stabilization sections of the process whereas Aspen Plus ensured the computing of the separation and purification columns. Both alternatives led to an excellent prediction showing the capability of creating Digital Twins from and for process simulation.
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