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    Predicting NOx and SO2 Emissions in CHP Systems with TEBA-Net for Sustainable Operations

    Source: Journal of Environmental Engineering:;2026:;Volume ( 152 ):;issue: 006::page 04026018-1
    Author:
    Zuo, Qiang
    ,
    He, Jiale
    ,
    AL-Bukhaiti, Khalil
    ,
    Wan, Anping
    ,
    Cheng, Xiaomin
    ,
    Ji, Xiaosheng
    DOI: 10.1061/JOEEDU.EEENG-8542
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis study presents TEBA-Net, an advanced deep learning model for simultaneous prediction of NOx and SO2 emissions from coal-fired combined heat and power (CHP) plants. The model integrates temporal convolutional networks (TCN), bidirectional ...Practical ApplicationsThe TEBA-Net model and its associated dynamic chemical treatment strategy offer significant industrial relevance by enabling real-time optimization of limestone slurry and ammonia injection rates in combined heat and power (CHP) ...
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      Predicting NOx and SO2 Emissions in CHP Systems with TEBA-Net for Sustainable Operations

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4312885
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    • Journal of Environmental Engineering

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    contributor authorZuo, Qiang
    contributor authorHe, Jiale
    contributor authorAL-Bukhaiti, Khalil
    contributor authorWan, Anping
    contributor authorCheng, Xiaomin
    contributor authorJi, Xiaosheng
    date accessioned2026-08-20T11:57:01Z
    date available2026-08-20T11:57:01Z
    date copyright2026/03/20
    date issued2026
    identifier otherJOEEDU.EEENG-8542.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312885
    description abstractAbstractThis study presents TEBA-Net, an advanced deep learning model for simultaneous prediction of NOx and SO2 emissions from coal-fired combined heat and power (CHP) plants. The model integrates temporal convolutional networks (TCN), bidirectional ...Practical ApplicationsThe TEBA-Net model and its associated dynamic chemical treatment strategy offer significant industrial relevance by enabling real-time optimization of limestone slurry and ammonia injection rates in combined heat and power (CHP) ...
    publisherAmerican Society of Civil Engineers
    titlePredicting NOx and SO2 Emissions in CHP Systems with TEBA-Net for Sustainable Operations
    typeJournal Article
    journal volume152
    journal issue6
    journal titleJournal of Environmental Engineering
    identifier doi10.1061/JOEEDU.EEENG-8542
    journal fristpage04026018-1
    journal lastpage04026018-13
    page13
    treeJournal of Environmental Engineering:;2026:;Volume ( 152 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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