低碳化学与化工2023，Vol.48Issue(6)：17-23,7.DOI:10.12434/j.issn.2097-2547.20230203
熔铁催化剂H2-TPR还原动力学和反应模型研究
Study on reduction kinetics of H2-TPR and reaction models of fused iron catalysts
摘要
Abstract
To reveal the reduction kinetics of fused iron catalyst in H2 and provide basic data for the design and scaling up of reduction reactors,the reduction reaction kinetics models of fused iron catalysts were studied by H2 temperature programmed reduction(H2-TPR),solid-state reaction model and spectra analysis.The reduction process of fused iron catalysts is controlled by reaction kinetics,and the activation energy is in the range of 78.5 kJ/mol to 82.2 kJ/mol.Increasing the reduction temperature can significantly shorten the reduction time.When the reduction temperature is not higher than 480 ℃,the reduction time can be shortened by 31 minutes for every 10℃increase.Through the comparison of four reduction kinetic models,it is found that the value of activation energy predicted by reaction-order model and geometric contract model are in good agreement with the experimental data(with a fitting degree exceeding 0.99),While the prediction results of nucleation model and diffusion model are poor.The results of constant temperature H2-TPR show that the time required for complete reduction predicted by the reaction-order model has the smallest error compared to the experimental values of H2-TPR.In summary,reaction-order model is suitable for describing the reduction process of fused iron catalysts.Through the assumption of uneven energy distribution,it is found that the change in activation energy during the reduction process is relatively small with a maximum increase of no more than 2.2%.The above results indicate that the distribution of active components of fused iron catalysts is uniform,and the reduction process basically follows the assumption of uniform energy distribution.关键词
反应模型/H2-TPR/还原/动力学/熔铁催化剂Key words
reaction model/H2-TPR/reduction/kinetics/fused iron catalyst分类
化学化工引用本文复制引用
贺飞,王涛,张雪冰,张琪,龚焱,韦慧,任凯,门卓武..熔铁催化剂H2-TPR还原动力学和反应模型研究[J].低碳化学与化工,2023,48(6):17-23,7.基金项目
国家重点研发计划(2022YFB4101400). （2022YFB4101400）
