Suppr超能文献

利用热重分析法对城市固体废物衍生燃料的特性和成分进行分析:综述。

Characterisation and composition identification of waste-derived fuels obtained from municipal solid waste using thermogravimetry: A review.

机构信息

School of Civil Engineering, University of Leeds, Leeds, UK.

School of Chemical and Process Engineering, University of Leeds, Leeds, UK.

出版信息

Waste Manag Res. 2020 Sep;38(9):942-965. doi: 10.1177/0734242X20941085. Epub 2020 Jul 24.

Abstract

Thermogravimetric analysis (TGA) is the most widespread thermal analytical technique applied to waste materials. By way of critical review, we establish a theoretical framework for the use of TGA under conditions for compositional analysis of waste-derived fuels from municipal solid waste (MSW) (solid recovered fuel (SRF), or refuse-derived fuel (RDF)). Thermal behaviour of SRF/RDF is described as a complex mixture of several components at multiple levels (including an assembly of prevalent waste items, materials, and chemical compounds); and, operating conditions applied to TGA experiments of SRF/RDF are summarised. SRF/RDF mainly contains cellulose, hemicellulose, lignin, polyethylene, polypropylene, and polyethylene terephthalate. Polyvinyl chloride is also used in simulated samples, for its high chlorine content. We discuss the main limitations for TGA-based compositional analysis of SRF/RDF, due to inherently heterogeneous composition of MSW at multiple levels, overlapping degradation areas, and potential interaction effects among waste components and cross-contamination. Optimal generic TGA settings are highlighted (inert atmosphere and low heating rate (⩽10°C), sufficient temperature range for material degradation (⩾750°C), and representative amount of test portion). There is high potential to develop TGA-based composition identification and wider quality assurance and control methods using advanced thermo-analytical techniques (e.g. TGA with evolved gas analysis), coupled with statistical data analytics.

摘要

热重分析(TGA)是应用于废物材料的最广泛的热分析技术。通过批判性回顾,我们为城市固体废物(MSW)衍生燃料(固体回收燃料(SRF)或垃圾衍生燃料(RDF))的成分分析条件下的 TGA 使用建立了理论框架。SRF/RDF 的热行为被描述为几种成分在多个水平上的复杂混合物(包括常见废物项目、材料和化合物的组合);并且,总结了应用于 SRF/RDF 的 TGA 实验的操作条件。SRF/RDF 主要含有纤维素、半纤维素、木质素、聚乙烯、聚丙烯和聚对苯二甲酸乙二醇酯。由于 MSW 在多个水平上的固有不均匀组成、降解区域重叠以及废物成分之间的潜在相互作用和交叉污染,模拟样品中也使用了聚氯乙烯,因其含氯量高。我们讨论了由于 MSW 在多个水平上的固有不均匀组成、降解区域重叠以及废物成分之间的潜在相互作用和交叉污染,TGA 基 SRF/RDF 成分分析的主要限制。优化的通用 TGA 设置(惰性气氛和低加热速率(⩽10°C)、材料降解的足够温度范围(⩾750°C)和代表性测试部分量)被强调。利用先进的热分析技术(例如带有气相分析的 TGA),结合统计数据分析,有可能开发基于 TGA 的成分识别和更广泛的质量保证和控制方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba05/7498913/e20ab84cc0fb/10.1177_0734242X20941085-img2.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验