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    Kinetic Analysis of Co-Firing of Corn Stalk and Paper Sludge Using Model-Fitting and Model-Free Methods

    Source: Journal of Energy Resources Technology:;2020:;volume( 142 ):;issue: 004::page 042301-1
    Author:
    Yin, Yanshan
    ,
    Yang, Boming
    ,
    Yin, Jie
    ,
    Tian, Hong
    ,
    Zhang, Wei
    ,
    Cheng, Shan
    ,
    Hu, Zhangmao
    ,
    Xu, Huifang
    DOI: 10.1115/1.4045316
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The combustion kinetics of corn stalk (CS), paper sludge (PS), and their mixture were studied by thermogravimetric analysis (TGA) using one model-fitting method (Coats–Redfern (CR)) and four model-free methods, namely, Flynn–Wall–Ozawa (FWO), Kissinger–Akahira–Sunose (KAS), Starink, and Friedman methods. TGA experiments were carried out at three different heating rates (10, 20, and 30 °C min−1) and with different weight percentages of PS in the mixture (0%, 20%, 50%, 80%, and 100%). The comprehensive combustion characteristic index decreases with an increase in the weight percentage of PS in the blends and increases with the increasing heating rate. Significant interactions occur in the co-firing of the blends containing 20% and 50% of PS. The co-firing kinetic parameters determined by the CR method show relatively high reliability due to the high correlation coefficient obtained from the linear fitting. The values of average activation energy determined by the model-fitting method are generally lower than those calculated from model-free methods. The co-firing of the blends containing 20% of PS shows the highest comprehensive combustion characteristic index and the lowest average activation energy based on the model-free methods.
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      Kinetic Analysis of Co-Firing of Corn Stalk and Paper Sludge Using Model-Fitting and Model-Free Methods

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4275674
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    contributor authorYin, Yanshan
    contributor authorYang, Boming
    contributor authorYin, Jie
    contributor authorTian, Hong
    contributor authorZhang, Wei
    contributor authorCheng, Shan
    contributor authorHu, Zhangmao
    contributor authorXu, Huifang
    date accessioned2022-02-04T22:54:19Z
    date available2022-02-04T22:54:19Z
    date copyright4/1/2020 12:00:00 AM
    date issued2020
    identifier issn0195-0738
    identifier otherjert_142_4_042301.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4275674
    description abstractThe combustion kinetics of corn stalk (CS), paper sludge (PS), and their mixture were studied by thermogravimetric analysis (TGA) using one model-fitting method (Coats–Redfern (CR)) and four model-free methods, namely, Flynn–Wall–Ozawa (FWO), Kissinger–Akahira–Sunose (KAS), Starink, and Friedman methods. TGA experiments were carried out at three different heating rates (10, 20, and 30 °C min−1) and with different weight percentages of PS in the mixture (0%, 20%, 50%, 80%, and 100%). The comprehensive combustion characteristic index decreases with an increase in the weight percentage of PS in the blends and increases with the increasing heating rate. Significant interactions occur in the co-firing of the blends containing 20% and 50% of PS. The co-firing kinetic parameters determined by the CR method show relatively high reliability due to the high correlation coefficient obtained from the linear fitting. The values of average activation energy determined by the model-fitting method are generally lower than those calculated from model-free methods. The co-firing of the blends containing 20% of PS shows the highest comprehensive combustion characteristic index and the lowest average activation energy based on the model-free methods.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleKinetic Analysis of Co-Firing of Corn Stalk and Paper Sludge Using Model-Fitting and Model-Free Methods
    typeJournal Paper
    journal volume142
    journal issue4
    journal titleJournal of Energy Resources Technology
    identifier doi10.1115/1.4045316
    journal fristpage042301-1
    journal lastpage042301-8
    page8
    treeJournal of Energy Resources Technology:;2020:;volume( 142 ):;issue: 004
    contenttypeFulltext
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