随着社会经济发展，中国可燃固体废弃物产量逐年增加，采用热转化技术可有效处理可燃固废。在进行热转化处理时需要获取可燃固废的热值、挥发分等热转化特性。该文建立了一种以纤维素、半纤维素、木质素、淀粉、聚乙烯（PE）、聚氯乙烯（PVC）、聚丙烯（PP）、聚苯乙烯（PS）、聚对苯二甲酸乙二醇酯（PET）等9种物质为基元预测可燃固废热转化特性的方法。通过对可燃固废进行TGA热解实验，采用多元线性回归，以灰色关联度为判据，用基元的失重曲线拟合获得了可燃固废的失重曲线，拟合系数即为该可燃固废的基元表征系数。利用基元表征系数，结合基元数据，通过线性加权计算表征了可燃固废的热转化特性，其中挥发分表征误差在5%以内，热值误差在10%以内。该研究为热转化特性计算提供了一个简洁有效的路径，可作为工程设计参考。
Abstract
The treatment of combustible solid waste (CSW) is a critical environmental issue with thermochemical conversion regarded as a promising waste-to-energy (WTE) technology. The CSW properties that are relevant to the thermochemical conversion, such as the volatile content and the gross heating value, are required for incinerator design. This paper presents a pseudo-component analysis method using nine types of model components including cellulose, hemicellulose, lignin, starch, PE, PVC, PP, PS and PET to characterize the thermochemical conversion of the CSW waste stream. Each type of CSW can be represented by model components in terms of thermal mass coefficients obtained from TGA pyrolysis tests. The TGA curves of the model components were used to fit the curves for different types of CSW materials. Multiple linear regressions are used to acquire the thermal mass coefficients. The grey relation grade is used evaluate the accuracy. The average prediction error is within 5% for the volatiles and 10% for the gross heating value. This method provides a simple method for predicting the CSW properties for engineering designs.
关键词
可燃固废 /
热转化 /
基元表征 /
热重分析 /
特性预测
Key words
combustible solid waste (CSW) /
thermochemical conversion /
pseudo-component method /
thermogravimetric analysis /
characteristic prediction
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参考文献
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