Aggregated model high purity distillation column based on group methods

LI Dexin; JIANG Bo; REN Yicheng; ZHU Lingyu; JIANG Pengfei; ZHOU Lifang

doi:10.3969/j.issn.0438-1157.2012.09.006

您当前的位置：

首页 >

文章列表页 >

Aggregated model high purity distillation column based on group methods

更新时间：2025-12-10

- Aggregated model high purity distillation column based on group methods
- CIESC Journal Issue 9, Pages: 2710-2715(2012)
- 作者机构：
  
  1. 浙江工业大学化学工程与材料学院,浙江,杭州,310014
  2. 浙江大学控制科学与工程学系,浙江,杭州,310027
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0438-1157.2012.09.006
  CLC： Q021.8
- Online First：05 September 2012，
  
  Published：05 September 2012
- 稿件说明：
移动端阅览
LI Dexin, JIANG Bo, REN Yicheng, et al. Aggregated model high purity distillation column based on group methods[J]. CIESC Journal, 2012, (9): 2710-2715.
DOI：

LI Dexin, JIANG Bo, REN Yicheng, et al. Aggregated model high purity distillation column based on group methods[J]. CIESC Journal, 2012, (9): 2710-2715. DOI： 10.3969/j.issn.0438-1157.2012.09.006.

摘要

多级汽液平衡过程的严格模型变量维数高

用于构建优化命题时不易收敛且计算速度较慢。采用集合算法中基于吸收因子和理论塔板数计算全塔段组分回收率的组分分配特征方程代替逐板相平衡

加入物料衡算等基本方程与若干简化关系匹配模型自由度

建立可用于联立计算的逐段降维GM模型。同时根据高纯度精馏塔吸收因子沿塔分布的强非线性特征

提出分段线性拟合求解组分回收率的线性GM模型。以空分装置的粗氩塔为例进行高纯度精馏塔的严格模型、降维GM模型和线性GM模型的对比计算。结果表明

降维GM模型的计算变量由逐板模型的2377个减少到34个

同样平台下收敛时间由6136 s缩短至1 s左右

而关键组分纯度模拟与严格机理模型一致。

Abstract

Because of the large scale feature of the rigorous model

process optimization on multi-stage columns could be difficult to converge.In this paper

a reduced-order model based on the group method is proposed for high purity distillation columns which correlates the component recoveries with absorption factors and number of theoretical stages.Considering the strongly nonlinear characteristics of absorption factor along the column of high purity distillation column

a piecewise linear fitting method is proposed to obtain the component recoveries.Simulations are conducted under different loads to compare the performance of the reduced-order model and the rigorous model.The results show that the model scale is dramatically decreased from 2377 variables in the rigorous model to 34 variables in the proposed reduced-order model

the convergence time is also greatly reduced from 6136 s to that around 1 s

but the model accuracy is not damaged with very small errors between these two models.

关键词

Keywords

references

Views

190

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Experimental study of heat transfer enhancement by pressure waves in cross flow tube bundles

Study on synergistic modification of nitrogen-doped carbon coating and Ti⁴⁺ co-doping for lithium vanadium phosphate cathode materials

Advantages and risks of swirling cooling granulation towers

Physics-informed spatio-temporal graph convolutional network for fermentation processes

Progress of solar photo-thermo-catalysis for ammonia synthesis and decomposition under mild conditions

Related Author

No data

Related Institution

No data

⁰