Analysis and prediction of denitration performance of Mn_(1)Co_(0.5)Cr_(0.5)O_(x)catalyst based on CFD and BP-GA method  

作　　者：Zhihui Li Haixia Li Zhiheng Song Yun Zhang Yuxuan Jing Anchao Zhang Zhijun Sun 

机构地区：[1]School of Mechanical and Power Engineering,Henan Polytechnic University,Jiaozuo 454000,China

出　　处：《Chinese Journal of Chemical Engineering》2025年第1期225-235,共11页中国化学工程学报(英文版)

基　　金：supported by Science and Technology Research Project of Henan Province(242102230078);Key Research Project of Higher Education Institutions of Henan Province(23A470002);Innovative Research Team of Henan Polytechnic University(T2020-3).

摘　　要：Based on the experimental data of Mn_(1)Co_(0.5)Cr_(0.5)O_(x)catalysts and the component transport model in computational fluid dynamics(CFD),a kinetic model for the standard NH_(3)-SCR(NH_(3)selective catalytic reduction)process was effectively established.The objective of the model development was to predict the denitrification reaction rate of the catalyst,which incorporates various factors such as the Arrhenius parameters(pre-exponential factor and activation energy),inertial resistance,viscous resistance,and surface-to-volume ratio.To verify the practicability of the model,simulation results were compared with actual experimental data.The effects of NH_(3),NO,O_(2)concentrations,and gas hourly space velocity(GHSV)on NO conversion were simulated and analyzed.Subsequently,the NO conversion prediction model was trained and established using a combination of numerical simulation results,backpropagation neural network,and genetic algorithm(BP-GA).Furthermore,the significance of the impact that various factors had on the denitrification activity of the catalyst was determined.

关 键 词：NH_(3)-SCR BP-GA Mn_(1)Co_(0.5)Cr_(0.5)O_(x) Species transport modeling Porous zone 

分 类 号：O64[理学—物理化学]