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工业费托合成浆态床反应器的模拟 被引量:2

Simulation of Industrial Fischer Tropsch Synthesis Slurry Bed Reactors
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摘要 作为煤间接液化工业装置的核心设备,费托合成反应器的性能对装置的经济性有着举足轻重的影响。基于双气泡的轴向扩散模型耦合尾气循环开发了浆态床反应器模拟软件,对神华宁煤4×10~6 t/a的煤间接液化工业装置的费托合成反应器进行了计算分析,得到了合成气转化率、产物选择性等数据。计算结果和运转数据相一致,验证了反应器模型的合理性。在此基础上,利用模型对新鲜合成气氢碳比的影响进行研究,结果表明,随氢碳比的增加,CO的总转化率的变化不显著,H_2的总转化率明显下降,CO_2的选择性下降,CH_4选择性上升,单位合成气产油率下降,说明氢碳比的提高,在抑制水煤气变换反应发生的同时会造成产品的轻质化。 As the key equipment of the coal indirect liquefaction plant,the performance of the Fischer-Tropsch(F-T)synthesis reactors had a significant impact on the economics of the plant.Based on the double-bubble axial diffusion model coupled with tail gas circulation,a simulation software for slurry bed reactors was developed and applied to analyze and calculate the F-T synthesis reactor in a 4 million tons/year coal indirect liquefaction plant(Shenhua Ningmei Group).The data such as syngas conversion rate and product selectivity were obtained.The calculation results were consistent with the operational data,which verified the rationality of the reactor model.On this basis,the influence of the model on the hydrogen/carbon ratio of fresh syngas was investigated.The results showed that with the increase of hydrogen/carbon ratio,the total conversion of CO was not significant,while the total conversion rate of H2 was significantly decreased.Meanwhile,the selectivity of CO2 decreased while that of CH4 increased and the oil production rate per unit of syngas decreased,which means that the increase in the hydrogen/carbon suppressed the occurrence of the water-gas shift reaction and caused more light products.
作者 王峰 许明 刘虎 李初福 刘吉平 Wang Feng;Xu Ming;Liu Hu;Li Chufu;Liu Jiping(Coal to Oil Branch Company,Shenhua Ningxia Coal Industry Group,Yinchuan 750411,China;National Institute of Clean and-Low-Carbon Energy,Beijing 102209,China)
出处 《化学反应工程与工艺》 CAS CSCD 北大核心 2018年第3期213-219,234,共8页 Chemical Reaction Engineering and Technology
基金 国家重点研发计划资助(2017YFB0602500)
关键词 反应器模型 费托合成 双气泡 轴向扩散模型 reactor model Fisher-Tropsch synthesis two-class bubble axial dispersion model
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