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降维和聚类筛选可燃固废基元及其热重表征
引用本文:杨潇潇,甘雨,周会,李清海,张衍国.降维和聚类筛选可燃固废基元及其热重表征[J].环境工程,2022,40(10):120.
作者姓名:杨潇潇  甘雨  周会  李清海  张衍国
作者单位:1. 清华大学 能源与动力工程系 热科学与动力工程教育部重点实验室 二氧化碳资源利用与减排技术 北京市重点实验室, 北京 100084;
基金项目:国家重点研发计划(2020YFC1910101)广东省重点领域研发计划(2020B1111380001)
摘    要:可燃固废无害化处理需求日益增长,采用焚烧方法可有效实现其资源化、减量化和无害化。可燃固废的热化学特性对燃烧过程的组织具有重要意义,但由于可燃固废来源和种类的多样性,可燃固废特别是混合可燃固废的热化学性质表征是一个亟待解决的难题。以某几种典型的可燃固废作为基元,可以简化、高效、系统地表征其他可燃固废的热化学特性。采用主成分分析方法进行降维,再通过层次聚类方法将可燃固废归类,基于完备性、独立性和确定性3种基元性质和中心原则、简单原则2种筛选机制的约束下,量化比选出乳胶手套、硬塑料袋、PE、PET、淀粉、木质素、纤维素和半纤维素8种物质作为基元,并对基元的热重特性进行表征,依据热重特性分析并建立了可燃固废热转化基元表征的方法。并通过对一种工业可燃固废(包装布)进行拟合(灰色关联度高达0.989),验证了降维和聚类筛选基元方法的实用性和准确性,为可燃固废的热转化特性和处置方法提供参考。

关 键 词:可燃固废    降维    聚类    基元    热重表征
收稿时间:2021-10-15

THERMOGRAVIMETRIC CHARACTERIZATION OF COMBUSTIBLE SOLID WASTE WITH PSEUDO-COMPONENTS SELECTED BY DIMENSION REDUCTION AND CLUSTERING METHOD
Affiliation:1. Beijing Key Laboratory of CO2 Utilization and Reduction Technology, Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China;2. Nanjing Tianfu Software Co., Ltd, Nanjing 211106, China
Abstract:The demand for the harmless treatment of combustible solid waste (CSW) is increasing, and the incineration method can effectively realize the resource utilization, reduction and harmlessness of CSW. The thermochemical properties of CSW are of great significance in the organization of the combustion process. Due to the diversity of sources and types of CSW, the characterization of the thermochemical properties of CSW, especially CSW mixture is an urgent problem. If some typical CSW is used as "pseudo-components", the thermochemical characteristics of other CSW can be simplified, efficiently and systematically characterized. In this study, the principal component analysis (PCA) method was used to reduce the dimension, and then the CSW was classified with the selection of the pseudo-components based on the criteria of completeness, independence and certainty, as well as the central criteria and the simple criteria. Finally, eight species including latex gloves, hard plastic bags, PE, PET, starch, lignin, cellulose and hemicellulose were selected as pseudo-components. And the above several pseudo-components had been characterized by thermogravimetric analysis, based on this, a method for characterizing the heat conversion unit of CSW was established. Fitting industrial CSW, which gray relation grade was as high as 0.989, the practicability and accuracy of the method of dimension reduction and clustering were verified. This study established a method for characterizing the thermal conversion of CSW, which could provide a reference for the thermal conversion and disposal of CSW.
Keywords:
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