多壁碳纳米管负载钴催化剂上水气转换反应的微动力学模拟

F. Cavalcanti, J. Poissonnier, T. Vandevyvere, R. Giudici, R. Alves, M. Schmal, J. Thybaut
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引用次数: 0

摘要

微动力学模型的发展使我们能够从基本反应步骤的角度理解催化剂表面的基本现象,而无需先验地定义速率决定步骤,从而产生更有意义和物理上可靠的反应速率。这项工作旨在开发这样一个微动力学模型,准确描述水-气转换(WGS)反应,即多壁碳纳米管(MWCNTs)支撑的钴(Co)催化剂上产氢的主要途径之一。Co以其耐硫性而闻名,而功能化的MWCNT载体具有优异的导电性和促进电子在其表面转移的缺陷。该模型是基于一个众所周知的WGS反应机制制定的,该反应涉及高活性羧基(COOH*)中间体。动力学参数的计算采用理论预测模型(如碰撞和过渡态理论)和回归实验数据相结合的方法。利用雅典娜VISUAL Studio中提供的DDAPLUS包求解微分代数方程的导出系统。建立的模型能够模拟实验数据(R²= 0.96),动力学参数具有统计学意义。此外,模型中的一些催化剂描述符与表征技术确定的催化剂性能有关,如比表面积(S P = 22,000 m²/kg cat)和活性位点密度(σ = 0.012 mol Act.Surf)。/kg猫)。通过建模和表征,确定了COOH*生成反应(CO* + OH*→COOH* + *)是具有最高活化能的表面反应。在较高温度(350 ~ 450℃)和空间时间(70 ~ 80 kg·s/mol)条件下,模拟了CO转化率超过85%的最佳催化剂性能,与实验结果一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microkinetic Modeling for the Water-Gas Shift Reaction over Cobalt Catalysts Supported on Multi-Walled Carbon Nanotubes
: The development of microkinetic models allows gaining an understanding of fundamental catalyst surface phenomena in terms of elementary reaction steps without a priori defining a rate-determining step, yielding more meaningful and physically reliable reaction rates. This work aimed at developing such a microkinetic model that accurately describes the Water-Gas Shift (WGS) reaction, i.e., one of the major routes for hydrogen production, over cobalt (Co) catalysts supported on multi-walled carbon nanotubes (MWCNTs). Co is known for its sulfur-tolerance and the functionalized MWCNT support has exceptional conductivity properties and defects that facilitate electron transfer on its surface. The model was formulated based on a well-known mechanism for the WGS reaction involving the highly reactive carboxyl (COOH*) intermediate. The kinetic parameters were computed by a combination of calculation via theoretical prediction models (such as the Collision and Transition-State theory) and via regression to the experimental data. The derived system of differential-algebraic equations was solved using the DDAPLUS package available in the Athena VISUAL Studio. The developed model was capable of simulating the experimental data (R² = 0.96), presenting statistically significant kinetic parameters. Furthermore, some of the catalyst descriptors in the model have been related to the catalyst properties as determined by characterization techniques, such as the specific surface area (S P = 22,000 m²/kg cat ) and the density of active sites ( σ = 0.012 mol Act.Surf. /kg cat ). The modelling and characterization efforts allowed identifying the COOH* formation reaction (CO* + OH* → COOH* + *) as the surface reaction with the highest activation energy. Optimal catalyst performance, resulting in a CO conversion exceeding 85%, was simulated at elevated temperatures (350–450 °C) and space times (70–80 kg·s/mol), in agreement with the experimental observations.
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