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Prediction of NOx Concentration at Inlet Section of SCR Denitrification Reactor Based on Bidirectional Long Short-Term Memory Network and Least Squares Support Vector Machine Model
Power Generation and Environmental Protection | 更新时间:2025-11-12
    • Prediction of NOx Concentration at Inlet Section of SCR Denitrification Reactor Based on Bidirectional Long Short-Term Memory Network and Least Squares Support Vector Machine Model

    • In the field of coal-fired unit denitrification, experts have constructed a NOx concentration prediction model for the inlet section of SCR denitrification ammonia injection reactor, effectively solving the problems of delayed dynamic adaptation of ammonia injection instructions and NOx concentration, and insufficient ammonia injection accuracy, providing accurate feedforward information for ammonia injection control system.
    • Power Generation Technology   Vol. 46, Issue 5, Pages: 996-1004(2025)
    • DOI:10.12096/j.2096-4528.pgt.24008    

      CLC: TK 323;TM 621.6
    • Received:28 June 2024

      Revised:2024-10-02

      Published:31 October 2025

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  • ZENG Wengen,CHEN Donglin,TANG Mingzhu,et al.Prediction of NO,,x, Concentration at Inlet Section of SCR Denitrification Reactor Based on Bidirectional Long Short-Term Memory Network and Least Squares Support Vector Machine Model[J].Power Generation Technology,2025,46(05):996-1004. DOI: 10.12096/j.2096-4528.pgt.24008.

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