The Sabatier process is promising for carbon dioxide utilization and energy storage. However, the serious problem that limits more comprehensive industrial applications is catalyst deactivation due to the temperature runaway phenomenon. The inert particle dilution approach, including the mixing dilution method and layered dilution method is applied to solve this problem. Based on the lattice kinetic scheme-lattice Boltzmann method (LKS-LBM), the effects of three parameters in bed dilution structure reconstructed by the discrete element method (DEM) on temperature distribution and carbon conversion rate were discussed, so as to investigate the relationship between packing structure and temperature distribution. Furthermore, numerical results indicated that an optimal bed dilution structure, which not only can control the peak temperature below the critical temperature to avoid coking and sintering of catalyst, but also can improve the conversion rate by almost 18% compared with the structure without dilution under the same circumstance.

中文翻译：

---

使用床稀释结构抑制 Sabatier 工艺中的温度失控现象：LBM-DEM 模拟

Sabatier 工艺有望用于二氧化碳的利用和能量储存。然而，限制更全面工业应用的严重问题是由于温度失控现象导致的催化剂失活。惰性粒子稀释法，包括混合稀释法和分层稀释法，就是用来解决这个问题的。基于晶格动力学方案-晶格Boltzmann法(LKS-LBM)，讨论了离散元法(DEM)重构的床层稀释结构中三个参数对温度分布和碳转化率的影响，以研究其关系填料结构和温度分布之间的关系。此外，数值结果表明，最佳的床稀释结构，