甲醇制烯烃工业反应器产品选择性预测及操作条件优化研究  

Product selectivity prediction and operation conditions optimization for industrial methanol to olefins reactor

作　　者：南海明 邢爱华 文尧顺[3] 孙保全[3] 林华东[3] 关丰忠[3] 金海峰 NAN Hai-ming;XING Ai-hua;WEN Yao-shun;SUN Bao-quan;LIN Hua-dong;GUAN Feng-zhong;JIN Hai-feng(Beijing Design Centre,Shenhua Engineering Technology Co.,Ltd.,Beijing 100010,China;National Institute of Clean-and-Low-Carbon Energy,CHN Energy,Beijing 102209,China;China Shenhua Coal to Liquid and Chemical Co.,Ltd.,Beijing 100010,China;Chemical Industry Division,China Energy Investment Corporation,Beijing 100010,China)

机构地区：[1]神华工程技术有限公司北京设计中心,北京100010 [2]北京低碳清洁能源研究院,北京102209 [3]中国神华煤制油化工有限公司,北京100010 [4]国家能源集团化工部,北京100010

出　　处：《现代化工》2024年第9期236-241,共6页Modern Chemical Industry

基　　金：中国神华煤制油化工有限公司科技创新项目(MZYHG-2021-10)。

摘　　要：基于甲醇制烯烃固定流化床反应器的反应结果,建立了产品气组成与醇剂比的关联函数,同时假定催化剂在工业反应器内的停留时间分布符合全混流模型且一定条件下产品选择性只与醇剂比有关,最终形成了适用于MTO工业反应器产品气选择性预测及操作条件优化的计算模型。模型对于甲醇制烯烃工业装置正常运行期间主要产品选择性的预测比较准确,其中对于乙烯、丙烯、乙烯+丙烯选择性的预测误差分别为0.91%、0.80%和0.55%,对于C_4的预测误差为1.81%。该模型还可用于甲醇制烯烃工业装置操作参数的优化,以提升低碳烯烃的收率。Based on the reaction results of methanol to olefin(MTO)fixed fluidized bed reactor,the correlation function between product gas composition and methanol to catalyst ratio is established.Meanwhile,the residence time distribution of catalyst in industrial MTO reactor is assumed to conform to the full mixed flow model,and product selectivity is only related to methanol to catalyst ratio under certain conditions.Finally,a computational model suitable for product gas selectivity prediction and operating condition optimization of industrial MTO reactors is formed.This model can be used to accurately predict the selectivity of main products during the normal operation of methanol to olefin industrial plant.Prediction errors for selectivity of ethylene,propylene,ethylene+propylene,and C4 are 0.91%,0.8%,0.55%and 1.81%,respectively.This model can also be used to optimize the operating parameters of industrial MTO plant to improve the yield of low carbon olefins.

关 键 词：甲醇制烯烃 预测模型 产品气组成 优化 

分 类 号：TQ203[化学工程—有机化工]