Modeling of Production Processes of Polyvinyl Chloride and Caustic Soda, Chlorine, and Hydrogen by Electrolytic Method

IF 0.7 4区 工程技术 Q4 ENGINEERING, CHEMICAL
V. P. Meshalkin, E. A. Shulaeva, Yu. F. Kovalenko, N. S. Shulaev
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引用次数: 0

Abstract

The presented work describes original computer training complexes that differ from the known digital twins of chemical-engineering systems developed in software packages of such modeling environments as Aspen Plus, Visual Modeler, Unisim Design, HYSYS, ChemCad, etc., in the fact that mathematical models were developed for specific processes based on fundamental laws and empirical relationships. The proposed complexes can be used to determine methods for intensifying chemical-technological processes, using knowledge of the parameters of technological environments at the “micro level,” obtained through modeling. A digital twin of the vinyl chloride polymerization process is described, which allows determining the molecular weight distribution of polymer molecules, taking into account the temperature distribution of polymer–monomer particles. The digital twin of the vinyl chloride polymerization process allows determining the physical and chemical properties of polyvinyl chloride during the polymerization process, and will facilitate the analysis of the technological process modes and predict changes in the parameters when emergency situations arise, which will increase the level of problem-free operation. A description is given of a digital twin that simulates the parameters of an electrolyzer in the production of caustic soda, chlorine, and hydrogen, based on the mathematical dependence of the volt–ampere characteristic on the process temperature. The use of a digital twin of the electrolysis process for the production of caustic soda, chlorine, and hydrogen makes it possible to model the process parameters of the electrolyzer, which allows establishing the optimal modes for conducting technological processes and predicting changes in the parameters when emergency situations arise.

Abstract Image

电解法制备聚氯乙烯和烧碱、氯、氢生产过程的建模
所提出的工作描述了原始的计算机训练复合体,不同于在诸如Aspen Plus, Visual Modeler, Unisim Design, HYSYS, ChemCad等建模环境的软件包中开发的化学工程系统的已知数字双胞胎,事实上,数学模型是基于基本定律和经验关系为特定过程开发的。所提出的复合物可用于确定强化化学技术过程的方法,利用通过建模获得的“微观层面”技术环境参数的知识。描述了氯乙烯聚合过程的数字孪生,它允许确定聚合物分子的分子量分布,同时考虑到聚合物单体颗粒的温度分布。氯乙烯聚合过程的数字孪生可以在聚合过程中确定聚氯乙烯的物理和化学性质,并将有助于分析工艺过程模式,并在紧急情况发生时预测参数的变化,这将提高无故障操作的水平。基于伏安特性对工艺温度的数学依赖性,给出了一种数字孪生模型,用于模拟生产烧碱、氯和氢的电解槽参数。使用电解过程的数字孪生来生产烧碱、氯和氢,可以对电解槽的过程参数进行建模,从而可以建立进行技术过程的最佳模式,并在紧急情况发生时预测参数的变化。
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来源期刊
CiteScore
1.20
自引率
25.00%
发文量
70
审稿时长
24 months
期刊介绍: Theoretical Foundations of Chemical Engineering is a comprehensive journal covering all aspects of theoretical and applied research in chemical engineering, including transport phenomena; surface phenomena; processes of mixture separation; theory and methods of chemical reactor design; combined processes and multifunctional reactors; hydromechanic, thermal, diffusion, and chemical processes and apparatus, membrane processes and reactors; biotechnology; dispersed systems; nanotechnologies; process intensification; information modeling and analysis; energy- and resource-saving processes; environmentally clean processes and technologies.
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