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.
methanol to olefinsprediction modelproduct gas compositionoptimization
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