Abstract Processing Municipal Solid Waste (MSW) into a Refuse Derived Fuel (RDF) reduces experimental variability and improves handling. This study analyzes the pyrolysis of individual components to define the model components that mimic real RDF. Size reduction and effective mixing of nine components of model RDF composition allow for reproducible results in lab scale experiments. Selected individual components as well as the model RDF composite are converted by pyrolysis and gasification at 800 °C with a 20 K/min heating rate. The pyrolysis results show that the decomposition profile, product yields, heat of decomposition, and gas composition of the model RDF can be predicted by adding the corresponding values of the individual components in the required proportions. The inorganic content of the individual component chars is found to have a profound effect on the gasification reactivities. Potassium and calcium have the largest catalytic effect during gasification, while silicon and phosphorous inhibit gasification. Potassium mobility and redistribution from orange peels in the model RDF to the other components is determined to be chiefly responsible for the synergistic gasification profile of the char. Furthermore, synergy is observed at different particle size ranges (

中文翻译：

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使用热重分析对模型垃圾衍生燃料 (RDF) 进行热解和气化研究

摘要 将城市固体废物 (MSW) 加工成垃圾衍生燃料 (RDF) 可减少实验变异性并改进处理。本研究分析了单个组件的热解，以定义模拟真实 RDF 的模型组件。模型 RDF 组合物的九种成分的尺寸减小和有效混合允许在实验室规模实验中获得可重复的结果。选定的单个组件以及模型 RDF 复合材料在 800 °C 下以 20 K/min 的加热速率通过热解和气化进行转化。热解结果表明，模型 RDF 的分解曲线、产物产率、分解热和气体组成可以通过按所需比例添加各个组分的相应值来预测。发现单个组分炭的无机含量对气化反应性具有深远的影响。钾和钙在气化过程中的催化作用最大，而硅和磷则抑制气化。钾的迁移率和从模型 RDF 中橘皮到其他组分的重新分配被确定为炭的协同气化曲线的主要负责人。此外，在不同的粒径范围内观察到协同作用（钾的迁移率和从模型 RDF 中橘皮到其他组分的重新分配被确定为炭的协同气化曲线的主要负责人。此外，在不同的粒径范围内观察到协同作用（钾的迁移率和从模型 RDF 中橘皮到其他组分的重新分布被确定为炭的协同气化曲线的主要负责人。此外，在不同的粒径范围内观察到协同作用（