Process intensification and economic evaluation of adiponitrile production based on hybrid modeling

IF 3.8 3区工程技术 Q3 ENERGY & FUELS

Chemical Engineering and Processing - Process Intensification Pub Date : 2025-04-17 DOI:10.1016/j.cep.2025.110325

Wenwen Cong, Xiaolin Hou, Rui Xiao, Jiaojiao Zhang, Yuying Zhang, Siliang Jiao

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Abstract

Adiponitrile (ADN) is a crucial chemical used to produce Nylon 66, with potential applications in civilian clothing, specialized equipment, and new energy vehicles. This paper outlines a method for producing adiponitrile from 1,3-butadiene hydrocyanation and enhances it using process simulation and machine learning (ML). The system is optimized for energy savings and assessed economically. An artificial neural network (ANN) model is developed to predict ADN product molar flow and system energy consumption. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) algorithm is used to optimize two goals: increasing ADN yield and reducing system energy consumption. The prediction results show that the coefficient of determination (R²) for both system energy consumption and ADN product flow is greater than 0.989, with the Mean Absolute Percentage Error (MAPE) value less than 0.01. The optimization results indicate a 2.31 % reduction in system energy consumption and a 1.85 % increase in ADN product flow.

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基于混合模型的己二腈生产工艺强化与经济评价

己二腈（ADN）是用于生产尼龙66的关键化学品，在民用服装、专用设备和新能源汽车中具有潜在的应用前景。本文概述了一种由1,3-丁二烯氢化制己二腈的方法，并利用过程模拟和机器学习技术对其进行了改进。该系统进行了节能优化和经济评估。建立了人工神经网络（ANN）模型来预测ADN产品的摩尔流量和系统能耗。采用非支配排序遗传算法II （non - dominant Sorting Genetic Algorithm II, NSGA-II）进行优化，实现了提高ADN产率和降低系统能耗两个目标。预测结果表明，系统能耗和ADN产品流量的决定系数（R²）均大于0.989，平均绝对百分比误差（MAPE）值小于0.01。优化结果表明，系统能耗降低2.31%，ADN产品流量增加1.85%。

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来源期刊

Chemical Engineering and Processing - Process Intensification 工程技术-工程：化工

CiteScore

7.80

自引率

9.30%

发文量

408

审稿时长

49 days

期刊介绍： Chemical Engineering and Processing: Process Intensification is intended for practicing researchers in industry and academia, working in the field of Process Engineering and related to the subject of Process Intensification.Articles published in the Journal demonstrate how novel discoveries, developments and theories in the field of Process Engineering and in particular Process Intensification may be used for analysis and design of innovative equipment and processing methods with substantially improved sustainability, efficiency and environmental performance.