Eckhard Till, Pflieger Christin, Böttger Jannik, Telaar Pascal, Cerciello Francesca, Muhler Martin
Laboratory of Industrial Chemistry, Ruhr University Bochum, 44780 Bochum, Germany.
ACS Omega. 2023 Mar 10;8(11):10629-10639. doi: 10.1021/acsomega.3c00887. eCollection 2023 Mar 21.
The catalytic effect of minerals on biomass conversion was studied focusing on Fe as well as alkali and alkaline earth metals as the metallic inorganic elements typically present in minerals found in biomass. A mineral-free reference hydrochar and an analogous char material based on cellulose were systematically doped with sulfates of the different metallic inorganic elements in various amounts via impregnation, thereby excluding differences originating from the counterion and the carbon matrix. Thermogravimetric reactivity measurements were performed in diluted O and CO, and the derivative thermogravimetry curves were fitted using the random pore model. This procedure enabled a quantification of the apparent activation energy decrease due to doping as well as the influence of doping on the carbon structural parameter. Fe sulfate was always among the most active minerals, and alkali metal sulfates were typically more active than alkaline earth metal sulfates. The only exception was the high activity of very small Ca sulfate loadings during gasification. A saturation behavior of the kinetic parameter upon increasing the mineral loading was observed. The Langmuir-type modeling of this dependence further revealed that catalytically influenced devolatilization results in a char with higher oxidation reactivity, whereas for gasification, thermal annealing dominates. The systematically derived parameters provide a comprehensive description of catalytic effects, taking into account the type of mineral, the applied loading, the used atmosphere, and the fuel morphology. The derived activation energies can be used to include catalytic effects into combustion models.
研究了矿物质对生物质转化的催化作用,重点关注铁以及碱金属和碱土金属,这些是生物质中发现的矿物质中典型存在的金属无机元素。通过浸渍法,将不同量的不同金属无机元素的硫酸盐系统地掺杂到无矿物质的参考水热炭和基于纤维素的类似炭材料中,从而排除了来自抗衡离子和碳基质的差异。在稀释的氧气和一氧化碳中进行热重反应性测量,并使用随机孔模型拟合微商热重曲线。该程序能够量化由于掺杂导致的表观活化能降低以及掺杂对碳结构参数的影响。硫酸铁始终是最具活性的矿物质之一,碱金属硫酸盐通常比碱土金属硫酸盐更具活性。唯一的例外是在气化过程中极低负载量的硫酸钙具有高活性。观察到随着矿物质负载量增加,动力学参数呈现饱和行为。对这种依赖性进行的朗缪尔型建模进一步表明,催化影响的挥发分释放导致具有更高氧化反应性的焦炭,而对于气化,热退火起主导作用。系统推导的参数综合考虑了矿物质类型、施加的负载量、使用气氛和燃料形态,全面描述了催化作用。推导的活化能可用于将催化作用纳入燃烧模型。