Thermal analysis on combustion characteristics of predried dyeing sludge

被引:38
|
作者
Liu, Yinhe [1 ]
Cao, Xiu
Duan, Xiaoli
Wang, Yifeng
Che, Defu
机构
[1] Xi An Jiao Tong Univ, State Key Lab Multiphase Flow Power Engn, Xian 710049, Shaanxi, Peoples R China
关键词
Predried dyeing sludge; Thermal analysis; DSC-dDSC method; Combustion characteristics; Kinetics analysis; DRIED SEWAGE-SLUDGE; PAPER-MILL SLUDGE; THERMOGRAVIMETRIC ANALYSIS; COCOMBUSTION; COAL; PYROLYSIS; WASTE; TG; MS;
D O I
10.1016/j.applthermaleng.2018.05.055
中图分类号
O414.1 [热力学];
学科分类号
摘要
The combustion characteristics of predried dyeing sludge (PDS) is studied on a simultaneous thermal analyzer, and compared with that of Xilinhot lignite (XL) and an industrial biomass char (BC). A new method is proposed to determine the ignition and burnout temperatures based on DSC-dDSC curves. The combustion process of PDS shows earlier weight loss than that of XL and BC, and can be divided into four stages. With the increase of oxygen concentration, the TG/DTG curves of PDS move to lower temperature zone, and combustion indices increase. With the increase of heating rate, the combustion indices also increase while the weight loss curves move oppositely. Increasing oxygen concentration and heating rate are beneficial to combustion performance. Kinetic analysis on PDS combustion is performed using Coats-Redfern method. As oxygen concentration increasing, kinetics parameters of the devolatilization and char combustion increase. With the increase of heating rate, the apparent activation energy of the devolatilization changes slightly, while the pre-exponential factor increases. The kinetics parameters of char combustion both decrease with the increasing heating rate. Oxygen concentration and heating rate have great influence on the kinetics of char combustion. Compensation effect exists between kinetics parameters and the corresponding mechanism is discussed.
引用
收藏
页码:158 / 165
页数:8
相关论文
共 50 条
  • [1] Pyrolysis of predried dyeing sludge: Weight loss characteristics, surface morphology, functional groups and kinetic analysis
    Wang, Bo
    Xu, Xiang
    Cao, Xiu
    Liu, Yinhe
    [J]. CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2021, 99 (12): : 2619 - 2634
  • [2] Transformation of Heavy Metals during Pyrolysis of Predried Dyeing Sludge
    Liu, Yinhe
    Wang, Bo
    Cao, Xiu
    [J]. ENERGY & FUELS, 2020, 34 (01) : 879 - 889
  • [3] Investigation on the Co-combustion Characteristics of Textile Dyeing Sludge and Sawdust
    Wei Peitao
    Ning Xunan
    Zhou Yun
    Liu Jingyong
    Yu Jun
    [J]. CHEMICAL ENGINEERING AND MATERIAL PROPERTIES, PTS 1 AND 2, 2012, 391-392 : 1440 - 1444
  • [4] Thermal and kinetic characteristics of combustion of coal sludge
    Wu, Junzhi
    Wang, Baofeng
    Cheng, Fangqin
    [J]. JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 2017, 129 (03) : 1899 - 1909
  • [5] Thermal and kinetic characteristics of combustion of coal sludge
    Junzhi Wu
    Baofeng Wang
    Fangqin Cheng
    [J]. Journal of Thermal Analysis and Calorimetry, 2017, 129 : 1899 - 1909
  • [6] Co-combustion of textile dyeing sludge with cattle manure: Assessment of thermal behavior, gaseous products, and ash characteristics
    Zhang, Junhui
    Sun, Guang
    Liu, Jingyong
    Evrendilek, Fatih
    Buyukada, Musa
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 253
  • [7] Thermal characteristics of the combustion process of biomass and sewage sludge
    Magdziarz, Aneta
    Wilk, Malgorzata
    [J]. JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 2013, 114 (02) : 519 - 529
  • [8] Thermal characteristics of the combustion process of biomass and sewage sludge
    Aneta Magdziarz
    Małgorzata Wilk
    [J]. Journal of Thermal Analysis and Calorimetry, 2013, 114 : 519 - 529
  • [9] Thermal analysis of municipal sludge waste combustion
    Dweck, J.
    Morais, L. C.
    Meneses, J. C.
    Buchler, P. M.
    [J]. ADVANCED POWDER TECHNOLOGY V, 2006, 530-531 : 740 - +
  • [10] Co-combustion thermal conversion characteristics of textile dyeing sludge and pomelo peel using TGA and artificial neural networks
    Xie, Candie
    Liu, Jingyong
    Zhang, Xiaochun
    Xie, Wuming
    Sun, Jian
    Chang, Kenlin
    Kuo, Jiahong
    Xie, Wenhao
    Liu, Chao
    Sun, Shuiyu
    Buyukada, Musa
    Evrendilek, Fatih
    [J]. APPLIED ENERGY, 2018, 212 : 786 - 795