当前位置: X-MOL 学术Comput. 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.)
Predictive Two-Phase Modeling and Improvement for Industrial Unipol® Polypropylene Process – Development and A Case Study
Computers & Chemical Engineering ( IF 4.3 ) Pub Date : 2019-12-30 , DOI: 10.1016/j.compchemeng.2019.106719
Eslam S. Sbaaei , Mai M. Kamal Fouad , Tamer S. Ahmed

This work presents a two-phase model describing propylene catalytic polymerization for Unipol® technology with a fluidized bed reactor (FBR) using Aspen Plus® software and the sequential modular simulation approach. The hydrodynamic aspects of the FBR were incorporated to provide better realism in describing the performance of the FBR. A detailed kinetic multi-site model for polymerization reactions occurring inside the FBR was proposed. Industrial data from a Unipol® plant during normal operation were used to calibrate the model parameters. Obtained data sets were tested and screened to confirm data validity for establishing the model and averting incorrect outcomes. The model was validated against different industrial data and then was used to investigate the influences of different process variables on the plant's performance. Finally, the model was used to improve the process illustrating a prospective for remarkable savings in energy consumption in the process while enhancing the plant throughput.



中文翻译:

工业Unipol®聚丙烯工艺的预测性两阶段建模和改进–开发和案例研究

这项工作提出了一个两阶段模型,描述了使用AspenPlus®软件和顺序模块化模拟方法的Unipol®技术与流化床反应器(FBR)的丙烯催化聚合。结合了FBR的流体动力学特性,以在描述FBR的性能时提供更好的真实感。提出了在FBR内部发生的聚合反应的详细动力学多中心模型。正常运行期间来自Unipol®工厂的工业数据用于校准模型参数。对获得的数据集进行测试和筛选,以确认用于建立模型和避免错误结果的数据有效性。该模型针对不同的工业数据进行了验证,然后用于调查不同过程变量对工厂性能的影响。最后,

更新日期:2019-12-30
down
wechat
bug