In this paper an extensive experimental campaign about the co-gasification of virgin wood biomass with organic and waste matrices in a full-scale downdraft air gasifier is presented. In particular, wastes from cherry processing, plastic wastes, sewage sludges and hazelnut shells were co-gasified with biomass adopting different mixtures. The syngas composition was continuously measured in order to assess the gasifier behaviour and performances using these mixtures. Results obtained mixing biomass with other feedstocks up to 60% (by mass) showed that the downdraft gasifier adopted, characterized by a patented internal air distribution system, was able to maintain a good gasification performance in terms of syngas lower heating value (LHV) (>5.18 MJ/Nm³), syngas flow rate (>400 Nm³/h) and cold gas efficiency (>71.9 %).

A pseudo-kinetic model of the gasifier using Aspen Plus® code was developed as well. The model, calibrated with the experimental data, proved to fit the syngas composition and physical properties with satisfying accuracy. The numerical model confirmed its usefulness in predicting the performance of the gasifier as the operating parameters vary and clearly highlighted that secondary air flow and preheating of the gasifying air are effective ways for the enhancement of the cold gasification efficiency, which can reach values around 80%.

在本文中，介绍了在全尺寸下吸式空气气化炉中将原始木材生物质与有机和废物基质共气化的广泛实验活动。特别是樱桃加工产生的废物、塑料废物、污水污泥和榛子壳与采用不同混合物的生物质共同气化。连续测量合成气组成以评估使用这些混合物的气化器行为和性能。将生物质与其他原料混合高达 60%（按质量计）的结果表明，采用的下吸式气化炉具有专利的内部空气分配系统，能够在合成气低热值 (LHV) 方面保持良好的气化性能（ >5.18 MJ/Nm ³），合成气流量（>400 Nm ³/h) 和冷气效率 (>71.9%)。

还开发了使用 Aspen Plus® 代码的气化器的伪动力学模型。用实验数据校准的模型证明以令人满意的精度拟合合成气成分和物理特性。数值模型证实了其在预测运行参数变化时的气化炉性能方面的有用性，并明确强调了二次气流和气化空气预热是提高冷气化效率的有效途径，可达到 80% 左右的值.