Several unit operations used in municipal solid waste (MSW) processing facilities are based on physical properties of the waste materials, such as particle size, density and shape. Reliable expressions describing particle size distribution (PSD) of the different waste components present in MSW are not readily available in the context of process modeling. In this study, the characterization data for household wastes and construction and demolition (C&D) wastes were analysed with the purpose of selecting the most representative PSD expression for these waste streams. The Rosin-Rammler distribution was identified over the log-normal and the gamma distributions as the best-fitting PSD for the waste samples. This was demonstrated for both raw and processed waste samples. Parameters were derived and validated for every category of MSW materials considered in the characterization. A model for mixed household waste PSD was developed based on the summation of Rosin-Rammler expressions corresponding to each category of waste materials, as the composition was determined to be the main factor influencing particle size. A simplified model was also derived for mixed waste as a bimodal distribution since two main modes were observed in household waste - one for the "organic" fraction and one for the "inorganic" fraction.

中文翻译：

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用于处理过程建模的城市固体废物的粒度分析。

城市固体废物（MSW）处理设施中使用的几种单元操作基于废物的物理性质，例如粒度，密度和形状。在过程建模的背景下，描述MSW中存在的不同废物成分的粒径分布（PSD）的可靠表达式并不容易获得。在这项研究中，分析了家庭废物以及建筑和拆迁（C＆D）废物的特征数据，目的是为这些废物流选择最具代表性的PSD表达式。在对数正态分布和伽马分布上确定了Rosin-Rammler分布是最适合废物样品的PSD。原始和处理的废物样品均得到了证明。对于表征中考虑的每种MSW材料类别，推导并验证了参数。基于确定每种成分是影响颗粒大小的主要因素，基于与每种废料类别对应的Rosin-Rammler表达式的总和，开发了混合型家庭废物PSD模型。由于在家庭垃圾中观察到了两种主要模式，一种简化的模型也以混合模式作为双峰分布而得到推导：一种是“有机”部分，另一种是“无机”部分。