Dynamic simulation of grade transition for ethylene slurry polymerization process based on simultaneous approach

LIU Mengmeng; ZHAN Zhiliang; SHAO Zhijiang; CHEN Xi; GU Xueping

doi:10.3969/j.issn.0438-1157.2012.09.005

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Dynamic simulation of grade transition for ethylene slurry polymerization process based on simultaneous approach

更新时间：2025-12-10

- Dynamic simulation of grade transition for ethylene slurry polymerization process based on simultaneous approach
- CIESC Journal Issue 9, Pages: 2703-2709(2012)
- 作者机构：
  
  1. 工业控制技术国家重点实验室, 浙江大学控制科学与工程系,浙江,杭州,310027
  2. 化学工程联合国家重点实验室, 浙江大学化学工程与生物工程学系,浙江,杭州,310027
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0438-1157.2012.09.005
  CLC： Q325
- Online First：05 September 2012，
  
  Published：05 September 2012
- 稿件说明：
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LIU Mengmeng, ZHAN Zhiliang, SHAO Zhijiang, et al. Dynamic simulation of grade transition for ethylene slurry polymerization process based on simultaneous approach[J]. CIESC Journal, 2012, (9): 2703-2709.
DOI：

LIU Mengmeng, ZHAN Zhiliang, SHAO Zhijiang, et al. Dynamic simulation of grade transition for ethylene slurry polymerization process based on simultaneous approach[J]. CIESC Journal, 2012, (9): 2703-2709. DOI： 10.3969/j.issn.0438-1157.2012.09.005.

摘要

以乙烯淤浆聚合流程为研究对象

建立了包含动力学和热力学的动态机理模型

采用有限元正交配置法对控制变量和状态变量同步离散化

实现了全联立动态模拟。热力学物性计算采用Kriging函数估计

可适用于多个工况

最大误差不超过2%。利用Aspen Plus 5个牌号工况的数据

进行了模型稳态验证

并实现了牌号切换动态模拟

计算了平均分子量等质量指标

与Aspen Dynamic曲线吻合较好

为牌号切换的优化奠定了基础。

Abstract

Dynamic rigorous model including kinetics and thermodynamics is established for the ethylene slurry polymerization plant.Thermodynamic properties are estimated by Kriging technique with the maximum relative error less than 2%.Based on the equation oriented model

control and state variables are synchronously discretized using orthogonal collocation finite elements(OCFE) method to develop simultaneous dynamic simulation for grade transition operations.The results are validated by comparing steady state data of five different grades obtained by Aspen Plus.The dynamic grade transition based on average molecular weight is also presented

which is close to that in Aspen Dynamic.

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CHEN Juan

HUAN Jinlong

ZHAN Zhiliang

CHEN Xi

SHAO Zhijiang

YAO Zhen

Related Institution

College of Information Science & Technology, Beijing University of Chemical Technology

State Key Laboratory of Industrial Control Technology, Department of Control Science and Engineering, Zhejiang University

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