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费托合成催化剂流化床还原的数值模拟 被引量:1

Numerical simulation of catalyst reduction with fluidized bed for Fisher-Tropsch synthesis
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摘要 开发流化床还原技术是实现费托合成催化剂高活性并提高其长周期运转性能的可能途径,而流化床还原操作条件的优化为该技术的关键。结合计算流体力学,利用双流体模型研究了流化介质、催化剂粒径、催化剂密度以及操作气速等操作条件对催化剂流化状态的影响。数值模拟结果表明:流化介质对催化剂的流化状态影响较大,催化剂细粉在流化床还原过程中可被有效分离;随着催化剂密度的增大,其操作气速也需相应提高。模拟结果和实验数据相一致,验证了数值模拟的合理性,展现了计算流体力学在指导反应器设计和优化方面的前景。 The development of catalyst reduction with fluidized bed technology is a possible way to achieve a Fischer Tropsch synthesis catalyst with high activity and improve the performance of long period operation.Optimization of operating conditions is the key technique of fluidized catalyst reduction.With computational fluid dynamics(CFD),the effects of operation parameters such as fluid medium,particle diameter,catalyst density and superficial gas velocity on the fluidizing status of catalyst are investigated by two-fluid model.The simulation results show that fluid medium has a significant impact on the fluidizing status of catalyst,and fine catalyst powder could be effectively separated in the fluidized bed reduction process.Superficial gas velocity should be accordingly increased as catalyst density increase.The simulation results are in accordance with the experimental data,which verifies the accuracy of simulation and illustrates the prospect of CFD in reactors design and optimization.
出处 《煤质技术》 2017年第6期1-4,共4页 Coal Quality Technology
基金 国家重点研发计划资助(2017YFB0602500)
关键词 流化床 费托合成 催化剂 计算流体力学 数值模拟 流化状态 操作气速 fluidized bed Fisher-Tropsch synthesis catalyst CFD simulation numerical'simulation fluidizing status superficial gas velocity
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