The optimization of upscaled biochar pelleting is limited by lack of knowledge regarding the effects of process parameters. A multiparameter model, coupled to a single pellet press unit, was for the first time applied to biochar production to predict the upscaled biochar pelleting process behavior. The model permits to estimate in a time and cost-effective way how the die friction forces, quantified through the pellet exiting pressure, are affected by the key process parameters. It was observed that to achieve acceptably low exiting pressures (in the order of 100 MPa), it was critical to produce biochar at high temperatures (e.g. 600 °C). Addition of water as a binder is also beneficial, while pelletization temperature does not significantly affect the exiting pressure. Furthermore, when pyrolysis oil was used as a binder, lower exiting pressures were measured. Biochar returned higher exiting pressure values compared with untreated wood, but lower compared with torrefied wood. Moreover, the correlation between density and compressive strength was also examined. It was found that the exiting pressure trend is a good indicator to estimate the mechanical quality of the pellets.

缺乏关于工艺参数影响的知识，限制了高档生物炭颗粒的优化。首次将多参数模型与单个颗粒压榨单元耦合，用于生物炭生产，以预测生物炭制粒过程的规模化行为。该模型允许以时间和成本有效的方式估计通过颗粒出口压力量化的模具摩擦力如何受到关键工艺参数的影响。观察到为了达到可接受的低出口压力（大约100 MPa），在高温（例如600°C）下生产生物炭至关重要。加入水作为粘合剂也是有益的，而制粒温度不会显着影响出口压力。此外，当热解油用作粘合剂时，测量较低的出口压力。与未经处理的木材相比，生物炭的出口压力值更高，而与经过焙烧的木材相比，则更低。此外，还检查了密度与抗压强度之间的相关性。发现出口压力趋势是估计粒料机械质量的良好指标。