当前位置: X-MOL 学术Theor. Found. Chem. Eng. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Application of a First Principles Mathematical Model of a Mass-Transfer Technological Process to Improve the Accuracy of the Estimation of the End Product Quality
Theoretical Foundations of Chemical Engineering ( IF 0.8 ) Pub Date : 2022-07-06 , DOI: 10.1134/s0040579522020117
S. A. Samotylova, A. Yu. Torgashov

Abstract

This study addresses the problem of improvement of the accuracy of the estimation of the quality of the end product when the used set of training data segments is small. It is extended with a physically grounded model (first principles model) of a mass-transfer technological process involved in the production of methyl tert-butyl ether (MTBE). It is shown that the proposed approach is superior to other methods for the construction of statistical models (soft sensors) to estimate the quality of the end products, since it makes it possible to take into account physically grounded relationships and characteristics of the technological process, which ultimately leads to an increase in the level of adequacy of the developed model. The feasibility of the use of a first principles model of the mass-transfer process in the algorithm for the development of statistical models to estimate the quality index of the end product are determined under conditions of parametric uncertainty in the Murphree efficiency of mass transfer and the parameters of the binary interaction between isobutylene dimers and components from the MTBE production system. The use of the area of the region of the intersection of output variable distributions between the values in the extended training and test samples is proposed as a criterion for the effectiveness of extension of the training sample.



中文翻译:

传质技术过程的第一性原理数学模型在提高最终产品质量估计精度中的应用

摘要

本研究解决了在使用的训练数据段集较小时提高最终产品质量估计准确性的问题。它扩展了涉及生产甲基叔叔的传质技术过程的物理接地模型(第一原理模型-丁基醚(MTBE)。结果表明,所提出的方法优于构建统计模型(软传感器)以估计最终产品质量的其他方法,因为它可以考虑物理接地关系和技术过程的特征,这最终导致开发模型的充分性水平提高。在Murphree 传质效率参数不确定性和异丁烯二聚体与 MTBE 生产系统组分之间二元相互作用的参数。

更新日期:2022-07-07
down
wechat
bug