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A theory of ultradeep hydrodesulfurization of diesel in stacked-bed reactors
AIChE Journal ( IF 3.7 ) Pub Date : 2017-09-23 20:50:38 , DOI: 10.1002/aic.15969
Teh C. Ho 1
Affiliation  

Hydrodesulfurization catalysts have two types of active sites for hydrogenation and hydrogenolysis reactions. While hydrogenation sites are more active for desulfurizing refractory sulfur species, they are more susceptible to organonitrogen inhibition than hydrogenolysis sites. In contrast, hydrogenolysis sites are more resistant to organonitrogen inhibition but are less active for desulfurizing refractory sulfur species. This dichotomy is exploited to develop an ultradeep hydrodesulfurization stacked-bed reactor comprising two catalysts of different characteristics. The performance of such a catalyst system can be superior or inferior to that of either catalyst alone. A mathematical model is constructed to predict the optimum stacking configuration for maximum synergies between the two catalysts. The best configuration provides the precise environment for the catalysts to reach their full potentials, resulting in the smallest reactor and minimum hydrogen consumption. Model predictions are consistent with experimental results. A selectivity-activity diagram is developed for guiding the development of stacked-bed catalyst systems. © 2017 American Institute of Chemical Engineers AIChE J, 2017

中文翻译:

叠层反应器中柴油超深度加氢脱硫的理论

加氢脱硫催化剂具有两种用于氢化和氢解反应的活性中心。尽管氢化位点对难熔硫种类的脱硫活性更高,但与氢解位点相比,它们更容易受到有机氮的抑制作用。相反,氢解位点对有机氮的抑制作用更强,但对难处理的硫物质进行脱硫的活性较低。利用这种二分法来开发包括两种具有不同特性的催化剂的超深加氢脱硫叠层床反应器。这种催化剂体系的性能可以优于或劣于任何一种单独的催化剂。构建数学模型以预测两种催化剂之间最大协同作用的最佳堆叠构型。最佳配置为催化剂提供了一个精确的环境,以使其发挥最大的潜力,从而使反应器最小,氢气消耗最小。模型预测与实验结果一致。建立了选择性-活性图,以指导堆积床催化剂体系的发展。©2017美国化学工程师学会AIChE的Ĵ,2017年
更新日期:2017-10-02
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