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Simulative optimization of catalyst configuration for biogas dry reforming

机译:沼气干重塑催化剂配置的模拟优化

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Biogas dry reforming is a promising technology for converting biomass into high-value products and reducing greenhouse gas emissions. Recent improvements to biogas reforming have mainly focused on the preparation of functional catalysts; however, little attention has been paid to the effects of catalyst configuration in plug flow reactors. In this study, a Ni/MgO catalyst for biogas reforming was synthesized via the wet impregnation method. Parameters were optimized using an experimental rig and then simulations were performed using an Aspen HYSYS reaction simulator. We simulated loading the same amount of catalyst into 1, 2, 3, or 10 zones inside the reactor and compared performance parameters, including H2 yield, CO yield, CH4 conversion, and CO2 conversion. The results of simulations showed that a 2-zone configuration with a catalyst ratio of 1:4 was optimal, with 88.2% H2 yield, 83.5% CO yield, 96.4% CH4 conversion, and 91.7% CO2 conversion. Catalyst zone number, catalyst distribution, and catalyst zone position all had significant effects on catalytic behavior. The findings of this study provide new insights into the processes of biogas reforming and other heterogeneous catalysis reactions.(c)& nbsp;2021 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.
机译:沼气干重塑是一种希望将生物质转化为高价值产品和减少温室气体排放的有希望的技术。最近对沼气重整的改善主要集中在制备功能催化剂;然而,很少注意催化剂构造在塞流反应器中的影响。在该研究中,通过湿浸渍法合成了用于沼气重整的Ni / MgO催化剂。使用实验钻机优化参数,然后使用Aspen Hysys反应模拟器进行模拟。我们模拟将相同量的催化剂加载到反应器内的1,2,3或10区,并比较了性能参数,包括H 2产率,共产生,CH 4转化和CO 2转化。仿真结果表明,催化剂比为1:4的2区结构是最佳的,88.2%H 2产率,83.5%CH4转化率为96.4%,CO 2转化率为91.7%。催化剂区数,催化剂分布和催化剂区位置所有对催化行为产生显着影响。本研究的结果为沼气重整和其他异质催化反应的过程提供了新的见解。(c)  2021氢能量出版物LLC。 elsevier有限公司出版。保留所有权利。

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