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清华大学学报(自然科学版)  2017, Vol. 57 Issue (12): 1324-1330    DOI: 10.16511/j.cnki.qhdxxb.2017.25.056
  热能工程 本期目录 | 过刊浏览 | 高级检索 |
可燃固体废弃物热转化特性的基元表征方法
龙艳秋1, 李清海1, 周会2, 蒙爱红1, 张衍国1
1. 清华大学 热能工程系, 热科学与动力工程教育部重点实验室, 二氧化碳资源化利用与减排技术北京市重点实验室, 北京 100084, 中国;
2. 哥伦比亚大学 地球与环境工程系, 纽约 10027, 美国
Pseudo-component method for characterization of the thermochemical conversion of combustible solid waste
LONG Yanqiu1, LI Qinghai1, ZHOU Hui2, MENG Aihong1, ZHANG Yanguo1
1. Beijing Key Laboratory for CO2 Utilization and Reduction Technology, Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Thermal Engineering, Tsinghua University, Beijing 100084, China;
2. Department of Earth and Environmental Engineering, Columbia University, New York 10027, USA
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摘要 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。
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龙艳秋
李清海
周会
蒙爱红
张衍国
关键词 可燃固废热转化基元表征热重分析特性预测    
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.
Key wordscombustible solid waste (CSW)    thermochemical conversion    pseudo-component method    thermogravimetric analysis    characteristic prediction
收稿日期: 2017-03-23      出版日期: 2017-12-15
ZTFLH:  X70  
  TK6  
通讯作者: 张衍国,教授,E-mail:zhangyg@tsinghua.edu.cn     E-mail: zhangyg@tsinghua. edu. cn
引用本文:   
龙艳秋, 李清海, 周会, 蒙爱红, 张衍国. 可燃固体废弃物热转化特性的基元表征方法[J]. 清华大学学报(自然科学版), 2017, 57(12): 1324-1330.
LONG Yanqiu, LI Qinghai, ZHOU Hui, MENG Aihong, ZHANG Yanguo. Pseudo-component method for characterization of the thermochemical conversion of combustible solid waste. Journal of Tsinghua University(Science and Technology), 2017, 57(12): 1324-1330.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2017.25.056  或          http://jst.tsinghuajournals.com/CN/Y2017/V57/I12/1324
  图 1 基元表征方法框架
  图 2 可燃固废与基元映射关系
  表 1 基元物质工业分析和热值
  图 3 灰色关联度的物理意义
  图 4 在线称重固定床(Ma c r o G TGA)实验平台
  表 2 单一种类可燃固废基元表征系数计算结果
  图 5 失重曲线表征值与实测值对比
  图 6 单一种类可燃固废挥发分表征结果
  图 7 单一种类可燃固废热值表征结果
  表3 实际可燃固废混合物质量配比
  图 8 可燃固废混合反应预测值与实测值(Ma c r o G TGA)对比
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