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    Simulation of Coal Gasification in Texaco Gasifier: Kinetics-Based Aspen Plus Model

    Source: Journal of Energy Engineering:;2022:;Volume ( 148 ):;issue: 003::page 04022008
    Author:
    Zhongya Kong
    ,
    Zhihang Zheng
    ,
    Dongying Tang
    ,
    Jiayuan Zhang
    DOI: 10.1061/(ASCE)EY.1943-7897.0000831
    Publisher: ASCE
    Abstract: A kinetic model of coal gasification in a Texaco gasifier was developed using the software Aspen Plus, and the model was validated using experimental data from previously reported research. The effects of the gasification temperature, use of steam (H2O) or carbon dioxide (CO2) as the gasification agent (GA), and the gasification agent/carbon molar ratio (GA/C) on the composition, net CO2 emissions, and H2/CO molar ratio of the resulting syngas were evaluated. The results showed that for both H2O and CO2, CO was preferentially generated at high temperatures, whereas H2 and CO2 were dominant at low temperatures, although the carbon conversion was higher and the net CO2 emissions lower at high temperatures. On the other hand, the concentration of H2 was higher when H2O was employed as the GA, reaching 49% when the H2O/C ratio was 2.0, but the concentration of CO was higher with CO2 as the GA, reaching 72% at a CO2/C ratio of 2.0. The net CO2 emissions and the H2/CO ratio were lower with CO2 and higher with H2O as the GA. The concentration of CO in the syngas was the highest (72%) when the temperature was 1,600 K and the CO2/C ratio was 0.4, making it suitable as a raw material for the production of formic acid. The results of this study offer guidelines for the optimization of the operating parameters for entrained flow gasification and the application of H2O and CO2 gasification technology.
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      Simulation of Coal Gasification in Texaco Gasifier: Kinetics-Based Aspen Plus Model

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4283334
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    • Journal of Energy Engineering

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    contributor authorZhongya Kong
    contributor authorZhihang Zheng
    contributor authorDongying Tang
    contributor authorJiayuan Zhang
    date accessioned2022-05-07T21:06:30Z
    date available2022-05-07T21:06:30Z
    date issued2022-02-22
    identifier other(ASCE)EY.1943-7897.0000831.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4283334
    description abstractA kinetic model of coal gasification in a Texaco gasifier was developed using the software Aspen Plus, and the model was validated using experimental data from previously reported research. The effects of the gasification temperature, use of steam (H2O) or carbon dioxide (CO2) as the gasification agent (GA), and the gasification agent/carbon molar ratio (GA/C) on the composition, net CO2 emissions, and H2/CO molar ratio of the resulting syngas were evaluated. The results showed that for both H2O and CO2, CO was preferentially generated at high temperatures, whereas H2 and CO2 were dominant at low temperatures, although the carbon conversion was higher and the net CO2 emissions lower at high temperatures. On the other hand, the concentration of H2 was higher when H2O was employed as the GA, reaching 49% when the H2O/C ratio was 2.0, but the concentration of CO was higher with CO2 as the GA, reaching 72% at a CO2/C ratio of 2.0. The net CO2 emissions and the H2/CO ratio were lower with CO2 and higher with H2O as the GA. The concentration of CO in the syngas was the highest (72%) when the temperature was 1,600 K and the CO2/C ratio was 0.4, making it suitable as a raw material for the production of formic acid. The results of this study offer guidelines for the optimization of the operating parameters for entrained flow gasification and the application of H2O and CO2 gasification technology.
    publisherASCE
    titleSimulation of Coal Gasification in Texaco Gasifier: Kinetics-Based Aspen Plus Model
    typeJournal Paper
    journal volume148
    journal issue3
    journal titleJournal of Energy Engineering
    identifier doi10.1061/(ASCE)EY.1943-7897.0000831
    journal fristpage04022008
    journal lastpage04022008-10
    page10
    treeJournal of Energy Engineering:;2022:;Volume ( 148 ):;issue: 003
    contenttypeFulltext
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