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Particle size analysis of municipal solid waste for treatment process modeling

机译：治疗过程建模的市政固体废物粒度分析

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摘要

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.
机译：在市政固体废物（MSW）加工设施中使用的几个单位操作基于废料的物理性质，例如粒度，密度和形状。描述MSW中存在的不同废物组件的粒度分布（PSD）的可靠表达式在过程建模的背景下没有容易获得。在这项研究中，分析了家庭废物和建筑和拆除（C＆D）废物的特征数据，目的是为这些废物流选择最代表性的PSD表达。通过逻辑正常和伽马分布识别松香垃圾箱分布作为废物样品的最佳PSD。这是对原料和加工废物样本的证明。派生参数和验证了表征中考虑的每种类别的MSW材料。基于对对应于每种废料对应的松香梗表达的求和，开发了混合家庭废物PSD的模型，因为该组合物被确定为影响粒径的主要因素。由于在家庭废物中观察到两种主要模式，还导出了一种用于双峰分布的混合废物，用于“有机”级分，一个用于“无机”级分。

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