高校化学工程学报2024，Vol.38Issue(6)：861-871,11.DOI:10.3969/j.issn.1003-9015.2024.06.003
考虑催化剂失活的环氧乙烷反应器机理与数据模型
Mechanism and data model of ethylene oxide reactors considering catalyst deactivation
摘要
Abstract
Ethylene oxide(EO)is one of the important derivatives in the ethylene industry and is primarily produced by direct oxidation of ethylene using silver catalysts.Due to slow deactivation of catalysts and requirements of maintaining yield and high selectivity by adjusting operating conditions periodically,a method of coupling mechanism model and data model was proposed to determine the changes in catalyst activity and the impact of various operating conditions.Using Alibaba Cloud's Intelligent manufacturing platform to mine production data of an industrial ethylene oxide reactor,models of various operating conditions and reactor outlet composition were established using reaction kinetics,deactivation kinetics,reactor model,and support vector regression,respectively.The results show that after adding the activity variables obtained from the mechanism model to the input variables,the support vector regression model is more accurate than the original model,and the mean absolute percentage error of calculated reactor outlet composition and selectivity on the test set is less than 3%,which provides a basis for optimizing selectivity.关键词
环氧乙烷/催化剂失活/反应动力学/反应器模型/支持向量回归Key words
ethylene oxide/catalyst deactivation/reaction kinetics/reactor model/support vector regression分类
化学化工引用本文复制引用
黄纯西,洪小东,黄波,严玲晴,廖环宇,阳永荣,王靖岱,廖祖维..考虑催化剂失活的环氧乙烷反应器机理与数据模型[J].高校化学工程学报,2024,38(6):861-871,11.基金项目
国家自然科学基金(21978256,U22A20415). （21978256,U22A20415）
